video_id stringlengths 59 122 | avg_aesthetic_score_laion_aesthetics float64 2.78 6.46 | frame_aesthetic_scores_laion_aesthetics stringlengths 72 273 | video_name stringlengths 43 106 | video_path stringlengths 86 149 | motion_fb_motion_score float64 -13.69 24.8 ⌀ | motion_lk_motion_score float64 0 9.76 ⌀ | frame_shot_categorization_shot_categorizer stringlengths 276 1.91k | avg_subjects_subject_presence float64 0 39.3 | avg_humans_subject_presence float64 0 26 | avg_animals_subject_presence float64 0 25.3 | frame_counts_subject_presence stringlengths 268 1.61k | avg_vision_reward float64 -0.15 0.15 | frame_wise_rewards stringlengths 78 104 | video_url stringlengths 39 39 | scene_name stringclasses 79
values | SCENE_NUM float64 1 79 | START_FRAME float64 24 13.7k | END_FRAME float64 73 13.8k | START_TIMECODE stringlengths 12 12 | END_TIMECODE stringlengths 12 12 | START_SECONDS float64 1 570 | END_SECONDS float64 3.04 574 | DURATION_SECONDS float64 2 6.97 | GAP_FROM_PREVIOUS float64 1 219 | prompt_x stringclasses 1
value | caption_t2v_style stringlengths 31 2.47k | prompt_y stringclasses 1
value | caption_t2v_style_short stringlengths 34 3.66k | duration_seconds float64 2 6.97 | width int64 640 1.92k | height int64 262 1.08k | total_frames int64 48 201 | resolution stringclasses 238
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
short_scene_001_short_$20_Bill_-_Paper_Moon_(5_8)_Movie_CLIP_(1973)_HD | 4.908089 | {'frame_00:00.png': 4.874268531799316, 'frame_00:01.png': 5.056090354919434, 'frame_00:02.png': 4.996335506439209, 'frame_00:03.png': 4.955479145050049, 'frame_00:04.png': 4.690274715423584, 'frame_00:05.png': 4.842457294464111, 'frame_00:06.png': 4.941718578338623} | short_$20_Bill_-_Paper_Moon_(5_8)_Movie_CLIP_(1973)_HD | ../assets/split_scenes/short_$20_Bill_-_Paper_Moon_(5_8)_Movie_CLIP_(1973)_HD/short_scene_001.mp4 | 0.283501 | 0.800726 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>... | 7.857143 | 6.571429 | 0.142857 | {"0": {"raw_counts": {"person": 7, "tie": 1, "total": 8}, "bucketed_counts": {"humans": 7, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 8}}, "1": {"raw_counts": {"person": 6, "tie": 1, "total": 7}, "bucketed_counts": {"humans": 6, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 7}}, "2": ... | 0.018693 | [-1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, 1, 1] | https://youtube.com/watch?v=CKJJbZe4TWM | scene_001 | 1 | 55 | 217 | 00:00:02.294 | 00:00:09.051 | 2.293961 | 9.050717 | 6.756757 | 2.293961 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The black and white shot depicts a man in a pinstripe suit and fedora standing at a store counter, pulling a wallet from his jacket and preparing to pay. The shot is composed with the man in the center left, an ornate metal cash register between him and the store clerk, whose back is to the camera. Hats and hat boxes l... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man wearing a suit and hat pays a store clerk at a vintage cash register in a bustling shop during the day. Shoppers and other employees are visible in the background amidst displays of merchandise. | 6.756757 | 1,280 | 540 | 162 | 1280x540 |
short_scene_001_short_(500)_Days_of_Summer_(2_5)_Movie_CLIP_-_Playing_House_(2009)_HD | 4.640624 | {'frame_00:00.png': 4.344003677368164, 'frame_00:01.png': 4.3860321044921875, 'frame_00:02.png': 4.786259651184082, 'frame_00:03.png': 4.876478672027588, 'frame_00:04.png': 4.8103437423706055} | short_(500)_Days_of_Summer_(2_5)_Movie_CLIP_-_Playing_House_(2009)_HD | ../assets/split_scenes/short_(500)_Days_of_Summer_(2_5)_Movie_CLIP_-_Playing_House_(2009)_HD/short_scene_001.mp4 | 0.004516 | 0.069386 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COM... | 2.6 | 1.6 | 0.2 | {"0": {"raw_counts": {"person": 2, "tv": 2, "laptop": 1, "total": 5}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 3, "total": 5}}, "1": {"raw_counts": {"cat": 1, "tv": 1, "total": 2}, "bucketed_counts": {"humans": 0, "animals": 1, "vehicles": 0, "food": 0, "others": 1, "total": 2}... | 0.082482 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 1 -1 1 1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=ARoB1nWPsxo | scene_001 | 1 | 470 | 590 | 00:00:19.603 | 00:00:24.608 | 19.602936 | 24.607941 | 5.005005 | 19.602936 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man and woman are sitting on a couch facing a blank television screen. The television is centered in the frame with the backs of the two people on either side. The man’s face is partially visible, while the woman is angled to the side. Her face is fully visible. There is a sign on the right side of the frame that say... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A couple is sitting together on a sofa in front of a television. The woman turns to look at the man beside her.
| 5.005005 | 1,920 | 790 | 120 | 1920x790 |
short_scene_001_short_(500)_Days_of_Summer_(3_5)_Movie_CLIP_-_I_Love_Us_(2009)_HD | 5.191617 | {'frame_00:00.png': 5.222700119018555, 'frame_00:01.png': 5.225332736968994, 'frame_00:02.png': 5.145378112792969, 'frame_00:03.png': 5.17305850982666} | short_(500)_Days_of_Summer_(3_5)_Movie_CLIP_-_I_Love_Us_(2009)_HD | ../assets/split_scenes/short_(500)_Days_of_Summer_(3_5)_Movie_CLIP_-_I_Love_Us_(2009)_HD/short_scene_001.mp4 | 0.096495 | 0.055965 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left... | 3.5 | 1.5 | 0 | {"0": {"raw_counts": {"person": 2, "chair": 1, "laptop": 1, "clock": 1, "total": 5}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 3, "total": 5}}, "1": {"raw_counts": {"person": 1, "chair": 1, "laptop": 1, "total": 3}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "... | 0.042632 | [-1 1 1 1 -1 1 1 -1 -1 1 1 1 1 -1 1 -1 -1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=4rGia6hIWmk | scene_001 | 1 | 167 | 241 | 00:00:06.965 | 00:00:10.052 | 6.965299 | 10.051718 | 3.08642 | 6.965299 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A person sits at a desk, facing another person whose back is to the camera. The person at the desk is wearing a white shirt, a dark tie, and a tan sweater vest. They have a serious, contemplative expression. Behind them on the wall are three framed drawings of cherubs in various poses. The first cherub is holding a bow... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man wearing a sweater vest sits at a desk in an office setting and stares forward with a solemn expression. Behind him are three cartoon depictions of cherubs. | 3.08642 | 1,920 | 810 | 74 | 1920x810 |
short_scene_001_short_(500)_Days_of_Summer_(5_5)_Movie_CLIP_-_All_That_True_Love_Nonsense_(2009)_HD | 5.509413 | {'frame_00:00.png': 5.444409370422363, 'frame_00:01.png': 5.392215251922607, 'frame_00:02.png': 5.636802673339844, 'frame_00:03.png': 5.564223766326904} | short_(500)_Days_of_Summer_(5_5)_Movie_CLIP_-_All_That_True_Love_Nonsense_(2009)_HD | ../assets/split_scenes/short_(500)_Days_of_Summer_(5_5)_Movie_CLIP_-_All_That_True_Love_Nonsense_(2009)_HD/short_scene_001.mp4 | -0.123754 | 0.128749 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'},... | 2.25 | 2 | 0.25 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "2": {"raw_counts": {"per... | 0.063299 | [ 1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 -1 -1 -1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=bBLKvPSgQ2A | scene_001 | 1 | 518 | 603 | 00:00:21.605 | 00:00:25.150 | 21.604938 | 25.15015 | 3.545212 | 21.604938 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A woman with dark hair and bangs gazes at a man next to her, a slight smile on her face and earrings visible, while the man looks to his left, a hint of a smile playing on his lips, with green grass blurred in the background suggesting an outdoor setting. As she speaks, her smile widens, revealing her teeth and intensi... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman with dark hair smiles and looks toward a man with short hair who is turned toward her in a park setting, both are engaged in a conversation. The mood seems intimate and friendly, with a soft, natural background. | 3.545212 | 1,920 | 810 | 85 | 1920x810 |
short_scene_001_short_10,000_BC_(7_10)_Movie_CLIP_-_We_Hunt_Together_(2008)_HD | 4.335912 | {'frame_00:00.png': 3.9596991539001465, 'frame_00:01.png': 4.329439163208008, 'frame_00:02.png': 4.718596458435059} | short_10,000_BC_(7_10)_Movie_CLIP_-_We_Hunt_Together_(2008)_HD | ../assets/split_scenes/short_10,000_BC_(7_10)_Movie_CLIP_-_We_Hunt_Together_(2008)_HD/short_scene_001.mp4 | -0.001026 | 1.377055 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Side light'}, {'<LIGHTING_TYPE>':... | 2.333333 | 1.666667 | 0.666667 | {0: {'raw_counts': {'elephant': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 1, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 3}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_count... | -0.107104 | [-1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=zGrIGZifpwg | scene_001 | 1 | 41 | 97 | 00:00:01.710 | 00:00:04.046 | 1.710043 | 4.045712 | 2.335669 | 1.710043 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Two men stand side by side, their faces close to the camera, both with dark skin and some sort of white objects protruding from their lower lips, and their bald heads are partially illuminated. They are surrounded by others, shrouded in darkness. They stand still, their expressions suggesting tension or solemnity, the ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Tribal warriors stand guard, their faces adorned with bone-like ornaments, amidst a dark and mysterious tribal ritual scene. The dramatic lighting creates an intense, foreboding atmosphere. | 2.335669 | 1,920 | 810 | 56 | 1920x810 |
short_scene_001_short_10_Cloverfield_Lane_(2016)_-_A_Narrow_Escape_Scene_(7_10)_|_Movieclips | 4.091988 | {'frame_00:00.png': 4.223435401916504, 'frame_00:01.png': 4.022943019866943, 'frame_00:02.png': 4.0295867919921875} | short_10_Cloverfield_Lane_(2016)_-_A_Narrow_Escape_Scene_(7_10)_|_Movieclips | ../assets/split_scenes/short_10_Cloverfield_Lane_(2016)_-_A_Narrow_Escape_Scene_(7_10)_|_Movieclips/short_scene_001.mp4 | -0.000772 | 2.557929 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COM... | 0 | 0 | 0 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 2: {'raw_counts': {'total': 0}, 'bucketed_counts': {'hu... | -0.147119 | [-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1
-1 -1] | https://youtube.com/watch?v=bMjYOV8VnYk | scene_001 | 1 | 191 | 244 | 00:00:07.966 | 00:00:10.177 | 7.9663 | 10.176844 | 2.210544 | 7.9663 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In an environment enveloped by darkness, a close-up shot reveals a face partially obscured by strands of hair, capturing a sense of mystery. The light illuminates a section of the mouth, creating a stark contrast against the deep shadows. As the scene progresses, a long, slender object, possibly a knife or a similar sh... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A figure with disheveled hair emerges from darkness, with dramatic lighting highlighting their face. The scene creates a suspenseful and unsettling atmosphere.
| 2.210544 | 1,920 | 810 | 53 | 1920x810 |
short_scene_001_short_10_Cloverfield_Lane_(2016)_-_Everyone_Outside_Is_Dead_Scene_(2_10)_|_Movieclips | 5.321013 | {'frame_00:00.png': 5.081283092498779, 'frame_00:01.png': 5.472167015075684, 'frame_00:02.png': 5.4095892906188965} | short_10_Cloverfield_Lane_(2016)_-_Everyone_Outside_Is_Dead_Scene_(2_10)_|_Movieclips | ../assets/split_scenes/short_10_Cloverfield_Lane_(2016)_-_Everyone_Outside_Is_Dead_Scene_(2_10)_|_Movieclips/short_scene_001.mp4 | 0.076658 | 0.079875 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSI... | 1 | 1 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | 0.034188 | [-1 1 1 1 -1 1 1 -1 -1 1 1 1 1 1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=jypAc6XYFfA | scene_001 | 1 | 42 | 98 | 00:00:01.752 | 00:00:04.087 | 1.751752 | 4.087421 | 2.335669 | 1.751752 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A woman with tears in her eyes sits with her back against a cinder block wall, listening intently to someone who is standing just out of frame to the left. She is wearing a white tank top. The lighting is dim and low-key, casting shadows that emphasize her worried expression. The drab texture of the wall heightens the ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman with tears in her eyes sits slumped against a concrete wall as she stares at an indistinct figure standing before her. The scene is dimly lit and evokes a somber mood.
| 2.335669 | 1,920 | 810 | 56 | 1920x810 |
short_scene_001_short_10_Cloverfield_Lane_(2016)_-_Frank_&_Mildred_Scene_(3_10)_|_Movieclips | 4.949686 | {'frame_00:00.png': 4.909789562225342, 'frame_00:01.png': 4.878175258636475, 'frame_00:02.png': 5.061092376708984} | short_10_Cloverfield_Lane_(2016)_-_Frank_&_Mildred_Scene_(3_10)_|_Movieclips | ../assets/split_scenes/short_10_Cloverfield_Lane_(2016)_-_Frank_&_Mildred_Scene_(3_10)_|_Movieclips/short_scene_001.mp4 | 0.007832 | 0.023206 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan'}, {'<LIGHTING>': 'Hard light, High contrast,... | 0 | 0 | 0 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 2: {'raw_counts': {'total': 0}, 'bucketed_counts': {'hu... | -0.038117 | [-1 1 1 -1 -1 1 1 -1 -1 -1 -1 1 1 -1 1 -1 -1 -1 -1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=Mc_zp1s60NY | scene_001 | 1 | 204 | 264 | 00:00:08.509 | 00:00:11.011 | 8.508509 | 11.011011 | 2.502503 | 8.508509 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A dark, cylindrical tunnel with ribbed metal walls curves inward towards a set of steps leading up to a bright, square opening at the end. A metal railing runs alongside the steps, providing a sense of guidance through the shadowy space. The scene is filled with darkness, with the only light source emanating from the o... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A dimly lit tunnel leads to a set of stairs with a bright light at the top. The scene evokes a sense of mystery and anticipation.
| 2.502503 | 1,920 | 810 | 60 | 1920x810 |
short_scene_001_short_10_Cloverfield_Lane_(2016)_-_I_Accept_Your_Apology_Scene_(5_10)_|_Movieclips | 4.147485 | {'frame_00:00.png': 4.036964416503906, 'frame_00:01.png': 4.023606300354004, 'frame_00:02.png': 4.233264446258545, 'frame_00:03.png': 4.296105861663818} | short_10_Cloverfield_Lane_(2016)_-_I_Accept_Your_Apology_Scene_(5_10)_|_Movieclips | ../assets/split_scenes/short_10_Cloverfield_Lane_(2016)_-_I_Accept_Your_Apology_Scene_(5_10)_|_Movieclips/short_scene_001.mp4 | 0.175419 | 0.055552 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, High contrast, Backlight'}, {'<LIGHTING_... | 1 | 0.5 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'vase': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_counts': ... | -0.085315 | [-1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=DJTF3NmqF7U | scene_001 | 1 | 130 | 218 | 00:00:05.422 | 00:00:09.092 | 5.422089 | 9.092426 | 3.670337 | 5.422089 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A person in a plaid shirt opens a large blue barrel. The gloved hand lifts the white lid, revealing a dark liquid inside. The scene focuses closely on the gloved hand and the blue barrel, emphasizing the opening action. The plaid shirt suggests a casual, possibly clandestine setting. The dark liquid inside the barrel c... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A person wearing gloves lifts the lid of a blue barrel, revealing a dark liquid inside. The scene is dimly lit, creating a mysterious atmosphere.
| 3.670337 | 1,920 | 810 | 88 | 1920x810 |
short_scene_001_short_127_Hours_(3_3)_Movie_CLIP_-_Radio_Show_Breakdown_(2010)_HD | 4.728652 | {'frame_00:00.png': 4.68841552734375, 'frame_00:01.png': 4.7227630615234375, 'frame_00:02.png': 4.756557464599609, 'frame_00:03.png': 4.74687385559082} | short_127_Hours_(3_3)_Movie_CLIP_-_Radio_Show_Breakdown_(2010)_HD | ../assets/split_scenes/short_127_Hours_(3_3)_Movie_CLIP_-_Radio_Show_Breakdown_(2010)_HD/short_scene_001.mp4 | -0.308496 | 0.076074 | {'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COM... | 1 | 1 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': ... | -0.039919 | [-1 1 1 1 -1 1 1 -1 -1 -1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=6KqG8CYcMKk | scene_001 | 1 | 502 | 589 | 00:00:20.938 | 00:00:24.566 | 20.937604 | 24.566233 | 3.628629 | 20.937604 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds with a man positioned at a low angle, gazing upwards. His expression is etched with intensity, and he wears a cap. The backdrop features a textured, rocky surface, implying he's in a confined or natural setting. As the scene progresses, his mouth opens wider, suggesting a cry or expression of intense ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man trapped between rocks looks upwards with a distressed expression, while another figure stands over him. The scene is lit with natural light reflecting off the rock walls.
| 3.628629 | 1,920 | 874 | 87 | 1920x874 |
short_scene_001_short_12_Angry_Men_(1_10)_Movie_CLIP_-_Kids_These_Days_(1957)_HD | 4.964292 | {'frame_00:00.png': 4.93519926071167, 'frame_00:01.png': 5.0059661865234375, 'frame_00:02.png': 4.951711654663086} | short_12_Angry_Men_(1_10)_Movie_CLIP_-_Kids_These_Days_(1957)_HD | ../assets/split_scenes/short_12_Angry_Men_(1_10)_Movie_CLIP_-_Kids_These_Days_(1957)_HD/short_scene_001.mp4 | 0.275389 | 0.034144 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial... | 8.333333 | 6 | 0 | {0: {'raw_counts': {'person': 6, 'tie': 2, 'total': 8}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 2, 'total': 8}}, 1: {'raw_counts': {'person': 6, 'tie': 3, 'total': 9}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 3, 'total': 9}}, 2: {'raw_... | 0.007568 | [-1 1 1 -1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=46kWbFAMHoc | scene_001 | 1 | 274 | 345 | 00:00:11.428 | 00:00:14.389 | 11.428095 | 14.389389 | 2.961295 | 11.428095 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The black and white image shows a group of men gathered around a table, engaged in a serious discussion. The composition is focused on the faces and upper bodies of the men. Two men are seated closest to the viewer, one on the left with only his shoulder visible, and another on the right wearing a dark jacket and tie. ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of men are gathered at a table in what appears to be a meeting or deliberation, with some looking intently while others seem concerned or thoughtful. The scene is shot in black and white, which gives it a classic cinematic feel. | 2.961295 | 1,920 | 810 | 71 | 1920x810 |
short_scene_001_short_12_Angry_Men_(2_10)_Movie_CLIP_-_It's_the_Same_Knife!_(1957)_HD | 4.885741 | {'frame_00:00.png': 4.868114948272705, 'frame_00:01.png': 4.835174083709717, 'frame_00:02.png': 4.950646877288818, 'frame_00:03.png': 4.868897914886475, 'frame_00:04.png': 4.905872821807861} | short_12_Angry_Men_(2_10)_Movie_CLIP_-_It's_the_Same_Knife!_(1957)_HD | ../assets/split_scenes/short_12_Angry_Men_(2_10)_Movie_CLIP_-_It's_the_Same_Knife!_(1957)_HD/short_scene_001.mp4 | -0.020022 | 0.23188 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial... | 3.4 | 2.4 | 0 | {0: {'raw_counts': {'person': 2, 'tie': 1, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 1: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 2: {'raw_... | 0.006052 | [-1 1 1 -1 -1 1 -1 -1 -1 1 -1 1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=TUzp2XUhskY | scene_001 | 1 | 359 | 479 | 00:00:14.973 | 00:00:19.978 | 14.973307 | 19.978312 | 5.005005 | 14.973307 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene shows three men sitting in a room, seemingly engaged in a serious discussion. The man on the right, dressed in a light-colored suit and dark tie, looks intently at the person across from him, appearing thoughtful and slightly concerned. On the table between them is a knife. The man across from him is only par... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man in a suit sits across a table from another man, looking serious as he holds a knife. The scene is intense and dramatic. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_12_Angry_Men_(3_10)_Movie_CLIP_-_Who_Changed_Their_Vote?_(1957)_HD | 4.793395 | {'frame_00:00.png': 5.349264144897461, 'frame_00:01.png': 5.072165489196777, 'frame_00:02.png': 4.439499855041504, 'frame_00:03.png': 4.600992202758789, 'frame_00:04.png': 4.5050554275512695} | short_12_Angry_Men_(3_10)_Movie_CLIP_-_Who_Changed_Their_Vote?_(1957)_HD | ../assets/split_scenes/short_12_Angry_Men_(3_10)_Movie_CLIP_-_Who_Changed_Their_Vote?_(1957)_HD/short_scene_001.mp4 | 0.073746 | 0.81655 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>':... | 5 | 4.6 | 0 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': ... | 0.021503 | [-1 1 1 -1 -1 1 1 -1 -1 1 1 1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=EqDd06GW76o | scene_001 | 1 | 1,150 | 1,270 | 00:00:47.965 | 00:00:52.970 | 47.964631 | 52.969636 | 5.005005 | 47.964631 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man with a concerned expression is captured in close-up, his face showing signs of distress and perhaps anxiety. The background is slightly blurred, suggesting the setting is a room with other people present, though they are not the focus. The camera angle highlights his emotional state, emphasizing the lines and con... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene unfolds in a somber room, with a man in the foreground displaying a serious expression. As the camera pans, it reveals a group of men seated around a table, engaged in intense discussion and creating an atmosphere charged with tension. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_12_Angry_Men_(5_10)_Movie_CLIP_-_Re-enactment_(1957)_HD | 5.123106 | {'frame_00:00.png': 5.146502494812012, 'frame_00:01.png': 5.175464630126953, 'frame_00:02.png': 5.308682441711426, 'frame_00:03.png': 5.2535810470581055, 'frame_00:04.png': 4.731299877166748} | short_12_Angry_Men_(5_10)_Movie_CLIP_-_Re-enactment_(1957)_HD | ../assets/split_scenes/short_12_Angry_Men_(5_10)_Movie_CLIP_-_Re-enactment_(1957)_HD/short_scene_001.mp4 | -0.019598 | 0.474586 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial... | 2.2 | 1.2 | 0 | {0: {'raw_counts': {'tie': 1, 'person': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'tie': 1, 'person': 2, 'total': 3}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 3}}, 2: {'raw_... | 0.021503 | [-1 1 1 -1 -1 1 1 -1 -1 1 1 1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=1fsFQ2gF4oE | scene_001 | 1 | 330 | 431 | 00:00:13.764 | 00:00:17.976 | 13.763764 | 17.97631 | 4.212546 | 13.763764 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Captured in a medium shot, a middle-aged man is positioned indoors, facing forward with a slight angle to his right; the lighting emphasizes the creases on his face and his dark hair. He's wearing a light-colored, short-sleeved dress shirt and a dark tie, with sweat visible around his armpits. His expression shifts fro... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man with a concerned expression wears a sweaty shirt and tie in a room with garments hanging in the background. He appears to be speaking or reacting to something happening off-screen. | 4.212546 | 1,920 | 810 | 101 | 1920x810 |
short_scene_001_short_12_Angry_Men_(7_10)_Movie_CLIP_-_Down_&_In_(1957)_HD | 4.879718 | {'frame_00:00.png': 5.414283275604248, 'frame_00:01.png': 5.455104827880859, 'frame_00:02.png': 5.237608909606934, 'frame_00:03.png': 4.354500770568848, 'frame_00:04.png': 4.446122169494629, 'frame_00:05.png': 4.370686054229736} | short_12_Angry_Men_(7_10)_Movie_CLIP_-_Down_&_In_(1957)_HD | ../assets/split_scenes/short_12_Angry_Men_(7_10)_Movie_CLIP_-_Down_&_In_(1957)_HD/short_scene_001.mp4 | -0.040601 | 0.521126 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial ligh... | 8.166667 | 6.666667 | 0 | {0: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 1: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_... | 0.019524 | [-1 1 1 -1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 -1 1 1 1
1 1] | https://youtube.com/watch?v=U44_sEUJROI | scene_001 | 1 | 3,401 | 3,528 | 00:02:21.850 | 00:02:27.147 | 141.850184 | 147.147147 | 5.296964 | 141.850184 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Captured in close-up, a man in a light-colored shirt and dark tie sits with a furrowed brow, looking intensely at something to the left. His face shifts as his brow furrows further, and a slight grimace appears. The camera angle remains steady, focusing solely on his facial expressions and upper body. The background is... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man in a shirt and tie is seen in a tight close-up, exhibiting a stern expression that transitions to one of disapproval. The scene's intensity is heightened by the use of black and white, which contributes to the overall somber mood. | 5.296964 | 1,920 | 832 | 127 | 1920x832 |
short_scene_001_short_12_Angry_Men_(8_10)_Movie_CLIP_-_These_People_(1957)_HD | 4.807707 | {'frame_00:00.png': 4.828805446624756, 'frame_00:01.png': 4.621840476989746, 'frame_00:02.png': 4.643094062805176, 'frame_00:03.png': 4.971719264984131, 'frame_00:04.png': 4.973074436187744} | short_12_Angry_Men_(8_10)_Movie_CLIP_-_These_People_(1957)_HD | ../assets/split_scenes/short_12_Angry_Men_(8_10)_Movie_CLIP_-_These_People_(1957)_HD/short_scene_001.mp4 | -0.166125 | 0.072027 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial ligh... | 2.4 | 1.4 | 0 | {0: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 1: {'raw_counts': {'person': 1, 'tie': 1, 'total': 2}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 2}}, 2: {'raw_... | -0.026816 | [-1 1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 1 -1 1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=TXlHKTPfLVA | scene_001 | 1 | 95 | 215 | 00:00:03.962 | 00:00:08.967 | 3.962296 | 8.967301 | 5.005005 | 3.962296 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man in a light-colored shirt and tie is shown seated in a room, framed by portions of other individuals on either side of him. The scene is shot in black and white, lending it a classic feel. The man gesticulates and speaks with evident intensity, his facial expressions shifting from stern to contemplative. The backg... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man in a button-down shirt and tie appears to be upset while seated at a table. The black and white shot gives a sense of drama. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_12_Angry_Men_(9_10)_Movie_CLIP_-_Nose_Marks_(1957)_HD | 5.124554 | {'frame_00:00.png': 5.237451553344727, 'frame_00:01.png': 5.036994457244873, 'frame_00:02.png': 5.179314613342285, 'frame_00:03.png': 5.1079559326171875, 'frame_00:04.png': 5.06105375289917} | short_12_Angry_Men_(9_10)_Movie_CLIP_-_Nose_Marks_(1957)_HD | ../assets/split_scenes/short_12_Angry_Men_(9_10)_Movie_CLIP_-_Nose_Marks_(1957)_HD/short_scene_001.mp4 | 0.107718 | 0.044172 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>':... | 4 | 3 | 0 | {0: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 1: {'raw_counts': {'person': 3, 'tie': 1, 'total': 4}, 'bucketed_counts': {'humans': 3, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 4}}, 2: {'raw_... | 0.017523 | [-1 1 1 -1 -1 1 1 -1 -1 1 1 1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=RGF6Qyvz2no | scene_001 | 1 | 79 | 199 | 00:00:03.295 | 00:00:08.300 | 3.294962 | 8.299967 | 5.005005 | 3.294962 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a black and white film scene, a man in a suit and tie is seated at a table, looking to his left with a slight smile on his face. He appears to be engaged in a conversation with someone who is partially visible, their face out of frame, but their gray hair and the back of their head are visible to the right. The suit... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man in a suit converses with another man in a black-and-white setting. The lighting emphasizes their expressions as they engage in dialogue. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_12_Monkeys_(10_10)_Movie_CLIP_-_Zoo_Animals_Run_Free_(1995)_HD | 5.004919 | {'frame_00:00.png': 4.982006072998047, 'frame_00:01.png': 4.866259574890137, 'frame_00:02.png': 4.870838642120361, 'frame_00:03.png': 5.300572395324707} | short_12_Monkeys_(10_10)_Movie_CLIP_-_Zoo_Animals_Run_Free_(1995)_HD | ../assets/split_scenes/short_12_Monkeys_(10_10)_Movie_CLIP_-_Zoo_Animals_Run_Free_(1995)_HD/short_scene_001.mp4 | 0.016794 | 0.098775 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION... | 1 | 0 | 1 | {"0": {"raw_counts": {"dog": 1, "total": 1}, "bucketed_counts": {"humans": 0, "animals": 1, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"dog": 1, "total": 1}, "bucketed_counts": {"humans": 0, "animals": 1, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"dog": 1, ... | -0.006777 | [ 1 1 1 1 -1 1 1 1 1 1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=HigxGvmHEdQ | scene_001 | 1 | 193 | 270 | 00:00:08.050 | 00:00:11.261 | 8.049716 | 11.261261 | 3.211545 | 8.049716 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The shot captures a wide view of a cityscape at dusk, framed by the statues of animals in the foreground. Dominating the right side of the frame is a large sculpture of a bear, lying atop what appears to be its prey, positioned on a stone platform. To the left of the bear, another sculpture, possibly a bull or bison, s... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A tiger walks along a snow-covered staircase, with city buildings and sculptures in the background. The scene is cast in soft, overcast lighting, creating a serene atmosphere.
| 3.211545 | 1,280 | 516 | 77 | 1280x516 |
short_scene_001_short_12_Monkeys_(1_10)_Movie_CLIP_-_The_Scientists'_Offer_(1995)_HD | 5.076098 | {'frame_00:00.png': 5.081973075866699, 'frame_00:01.png': 5.110137939453125, 'frame_00:02.png': 5.030533313751221, 'frame_00:03.png': 5.081747055053711} | short_12_Monkeys_(1_10)_Movie_CLIP_-_The_Scientists'_Offer_(1995)_HD | ../assets/split_scenes/short_12_Monkeys_(1_10)_Movie_CLIP_-_The_Scientists'_Offer_(1995)_HD/short_scene_001.mp4 | 0.055701 | 0.120119 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical li... | 7.25 | 6.25 | 0 | {0: {'raw_counts': {'person': 6, 'clock': 1, 'total': 7}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 7}}, 1: {'raw_counts': {'person': 7, 'clock': 1, 'total': 8}, 'bucketed_counts': {'humans': 7, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 1, 'total': 8}}, 2: {'... | -0.063049 | [-1 1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=TpGPSRGrL3s | scene_001 | 1 | 121 | 203 | 00:00:05.047 | 00:00:08.467 | 5.046713 | 8.4668 | 3.420087 | 5.046713 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Seven individuals, clad in white lab coats, occupy a scene filled with complex, antiquated machinery. The set is crammed with gears, clocks, and electronic equipment, creating an atmosphere of elaborate, yet dated, technology. Each person sits at a station, attending to a different piece of equipment, with the arrangem... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of people wearing white coats and glasses are stationed at a complex array of mechanical and electrical equipment in a retro-futuristic setting. They appear to be operating the machinery with focused expressions, immersed in the task at hand.
| 3.420087 | 1,280 | 540 | 82 | 1280x540 |
short_scene_001_short_12_Monkeys_(2_10)_Movie_CLIP_-_Cole_Meets_Kathryn_(1995)_HD | 4.30509 | {'frame_00:00.png': 4.384446144104004, 'frame_00:01.png': 4.297839164733887, 'frame_00:02.png': 4.4099040031433105, 'frame_00:03.png': 4.103271007537842, 'frame_00:04.png': 4.3299880027771} | short_12_Monkeys_(2_10)_Movie_CLIP_-_Cole_Meets_Kathryn_(1995)_HD | ../assets/split_scenes/short_12_Monkeys_(2_10)_Movie_CLIP_-_Cole_Meets_Kathryn_(1995)_HD/short_scene_001.mp4 | 0.270531 | 1.166939 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial... | 2.4 | 2.4 | 0 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 4, 'total': 4}, 'bucketed_counts': {'humans': 4, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 4}}, 2: {'raw_counts': {'person': ... | 0.010046 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=e4yCxKv-2qw | scene_001 | 1 | 135 | 255 | 00:00:05.631 | 00:00:10.636 | 5.630631 | 10.635636 | 5.005005 | 5.630631 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In an enclosed setting, a woman with long, wavy hair sits face-to-face with a bald man who appears to be covered in some kind of substance. The woman is positioned on the right side of the frame, while the man occupies the left, their gazes meeting. They are separated by what appears to be a wire mesh. The woman is wea... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman with long hair is sitting in a room, talking to a bald man with a fleshy appearance. The scene appears to be a tense or intimate conversation, set against a backdrop of metallic grids. | 5.005005 | 1,280 | 540 | 120 | 1280x540 |
short_scene_001_short_12_Monkeys_(3_10)_Movie_CLIP_-_Plague_of_Madness_(1995)_HD | 4.311426 | {'frame_00:00.png': 4.244767189025879, 'frame_00:01.png': 4.307999134063721, 'frame_00:02.png': 4.181949138641357, 'frame_00:03.png': 4.486663818359375, 'frame_00:04.png': 4.335752010345459} | short_12_Monkeys_(3_10)_Movie_CLIP_-_Plague_of_Madness_(1995)_HD | ../assets/split_scenes/short_12_Monkeys_(3_10)_Movie_CLIP_-_Plague_of_Madness_(1995)_HD/short_scene_001.mp4 | 1.277561 | 2.340511 | {'frame_00:00.png': [{'<COLOR>': 'White'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], ... | 1.4 | 1.2 | 0 | {0: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': ... | -0.068345 | [-1 -1 1 1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=9l_U2xXb9VI | scene_001 | 1 | 108 | 228 | 00:00:04.505 | 00:00:09.510 | 4.504505 | 9.50951 | 5.005005 | 4.504505 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A person wearing patterned pajama pants and brown and white shoes sits in a large black recliner chair. The person is initially covered with a tan blanket or robe, and removes it from their head, revealing a tan sweater. The chair is in a bright, institutional-looking room with white walls and tile floors. Another pers... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A person in patterned pajama pants sits in a black leather recliner, initially covered with brown and white fabrics, which are then removed as the person sits up and looks to the side. Another person with partially visible legs walks in the background.
| 5.005005 | 1,280 | 598 | 120 | 1280x598 |
short_scene_001_short_12_Monkeys_(4_10)_Movie_CLIP_-_Institutionalized_With_Jeffrey_(1995)_HD | 4.681987 | {'frame_00:00.png': 5.097666263580322, 'frame_00:01.png': 4.411544322967529, 'frame_00:02.png': 4.842087268829346, 'frame_00:03.png': 4.492862224578857, 'frame_00:04.png': 4.56577730178833} | short_12_Monkeys_(4_10)_Movie_CLIP_-_Institutionalized_With_Jeffrey_(1995)_HD | ../assets/split_scenes/short_12_Monkeys_(4_10)_Movie_CLIP_-_Institutionalized_With_Jeffrey_(1995)_HD/short_scene_001.mp4 | -0.181351 | 0.759313 | {'frame_00:00.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}... | 2.2 | 2 | 0.2 | {0: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 1: {'raw_counts': {'person': 2, 'total': 2}, 'bucketed_counts': {'humans': 2, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 2}}, 2: {'raw_counts': {'person': ... | 0.006417 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=wcztDZ13TLI | scene_001 | 1 | 635 | 734 | 00:00:26.485 | 00:00:30.614 | 26.484818 | 30.613947 | 4.129129 | 26.484818 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Two men are engaged in a tense conversation, the camera focused on their upper bodies. The man in the foreground has a shaved head with some markings on the back, while the man facing him has short, neatly styled hair and is wearing a collared shirt. The man in the collared shirt gestures with his hands as he speaks, h... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A person in a tan sweatshirt stands facing another individual with a shaved head and a tattoo, as they engage in a conversation within a building hallway. A silhouette of a figure can be seen walking by in the background.
| 4.129129 | 1,280 | 684 | 99 | 1280x684 |
short_scene_001_short_12_Monkeys_(5_10)_Movie_CLIP_-_Explaining_to_the_Doctors_(1995)_HD | 4.774935 | {'frame_00:00.png': 4.81479549407959, 'frame_00:01.png': 4.789970874786377, 'frame_00:02.png': 4.750144004821777, 'frame_00:03.png': 4.7632036209106445, 'frame_00:04.png': 4.756558895111084} | short_12_Monkeys_(5_10)_Movie_CLIP_-_Explaining_to_the_Doctors_(1995)_HD | ../assets/split_scenes/short_12_Monkeys_(5_10)_Movie_CLIP_-_Explaining_to_the_Doctors_(1995)_HD/short_scene_001.mp4 | 0.50188 | 0.877759 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<... | 11.6 | 6 | 0 | {0: {'raw_counts': {'person': 6, 'cup': 1, 'dining table': 1, 'cell phone': 1, 'tie': 1, 'total': 10}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 4, 'total': 10}}, 1: {'raw_counts': {'person': 7, 'tie': 3, 'fork': 1, 'cup': 1, 'laptop': 1, 'dining table': 1, 'handbag': 1, 'cell p... | 0.031127 | [-1 1 1 1 -1 1 1 -1 -1 1 1 1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=q74RKOmIjC8 | scene_001 | 1 | 98 | 218 | 00:00:04.087 | 00:00:09.092 | 4.087421 | 9.092426 | 5.005005 | 4.087421 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A group of individuals, mostly clad in white lab coats, sit around a table in what appears to be a stark, institutional setting, possibly a hospital or research facility, bathed in a hazy, diffused light, where the person in the foreground, facing away from the camera and wearing a white robe, seems to be the focus of ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of doctors in white coats sit around a table during a meeting, while a person in a white robe stands at the head of the table, leading the discussion. The scene is dimly lit, creating a serious and professional atmosphere. | 5.005005 | 1,280 | 638 | 120 | 1280x638 |
short_scene_001_short_12_Monkeys_(6_10)_Movie_CLIP_-_Eating_a_Spider_(1995)_HD | 4.750227 | {'frame_00:00.png': 4.769765377044678, 'frame_00:01.png': 4.993686676025391, 'frame_00:02.png': 4.964531421661377, 'frame_00:03.png': 4.709323883056641, 'frame_00:04.png': 4.650654315948486, 'frame_00:05.png': 4.536501884460449, 'frame_00:06.png': 4.627125263214111} | short_12_Monkeys_(6_10)_Movie_CLIP_-_Eating_a_Spider_(1995)_HD | ../assets/split_scenes/short_12_Monkeys_(6_10)_Movie_CLIP_-_Eating_a_Spider_(1995)_HD/short_scene_001.mp4 | 0.042887 | 0.644013 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Ce... | 0.857143 | 0.714286 | 0.142857 | {0: {'raw_counts': {'total': 0}, 'bucketed_counts': {'humans': 0, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 0}}, 1: {'raw_counts': {'person': 1, 'total': 1}, 'bucketed_counts': {'humans': 1, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 1}}, 2: {'raw_counts': {'person': 1, 'total': 1... | -0.021671 | [-1 1 1 -1 -1 -1 1 -1 -1 -1 -1 1 1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=eb46yXP211w | scene_001 | 1 | 73 | 218 | 00:00:03.045 | 00:00:09.092 | 3.044711 | 9.092426 | 6.047714 | 3.044711 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man in a hospital gown is seen through a wire mesh, his eyes wide with shock or fear, and a slight bruise on his forehead. The wire mesh creates a barrier, and the man's hands grip it tightly. His mouth is slightly open, expressing surprise or apprehension. The background behind the mesh is dimly lit, suggesting a st... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A bald man with a visible injury looks up with a surprised expression, framed by a grid-like structure suggesting confinement. His face is illuminated by dim, uneven lighting.
| 6.047714 | 1,280 | 540 | 145 | 1280x540 |
short_scene_001_short_12_Monkeys_(7_10)_Movie_CLIP_-_The_Great_Escape_(1995)_HD | 5.049436 | {'frame_00:00.png': 4.974245548248291, 'frame_00:01.png': 4.87891960144043, 'frame_00:02.png': 5.121516227722168, 'frame_00:03.png': 5.138129234313965, 'frame_00:04.png': 5.134367942810059} | short_12_Monkeys_(7_10)_Movie_CLIP_-_The_Great_Escape_(1995)_HD | ../assets/split_scenes/short_12_Monkeys_(7_10)_Movie_CLIP_-_The_Great_Escape_(1995)_HD/short_scene_001.mp4 | -0.690408 | 0.335048 | {'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Blue, White'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITI... | 5.6 | 5.2 | 0 | {0: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 1: {'raw_counts': {'person': 6, 'total': 6}, 'bucketed_counts': {'humans': 6, 'animals': 0, 'vehicles': 0, 'food': 0, 'others': 0, 'total': 6}}, 2: {'raw_counts': {'person': ... | -0.058532 | [-1 -1 1 1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=cu_A-aG8G7U | scene_001 | 1 | 121 | 241 | 00:00:05.047 | 00:00:10.052 | 5.046713 | 10.051718 | 5.005005 | 5.046713 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene takes place inside a facility and shows a man sitting in a chair with visible injuries on his face. He is wearing a patient gown and appears to be in a state of contemplation or fatigue. Beside him, another man, also in a patient gown, is laughing animatedly. The background reveals other people moving around,... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A person with facial injuries sits in a brightly lit mental institution, while another laughs beside them in a hospital gown, as other patients are visible in the background. The scene shows people in a large, bright room with arched doorways and a high ceiling.
| 5.005005 | 1,280 | 688 | 120 | 1280x688 |
short_scene_001_short_12_Rounds_3__Lockdown_(2015)_-_Firing_Policy_Scene_(2_5)_|_Movieclips | 5.119929 | {'frame_00:00.png': 5.055117607116699, 'frame_00:01.png': 5.085289478302002, 'frame_00:02.png': 5.2193803787231445} | short_12_Rounds_3__Lockdown_(2015)_-_Firing_Policy_Scene_(2_5)_|_Movieclips | ../assets/split_scenes/short_12_Rounds_3__Lockdown_(2015)_-_Firing_Policy_Scene_(2_5)_|_Movieclips/short_scene_001.mp4 | -0.010607 | 0.028867 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOS... | 1.333333 | 1 | 0.333333 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"dog... | 0.036509 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=8PALGqaFoFI | scene_001 | 1 | 99 | 164 | 00:00:04.129 | 00:00:06.840 | 4.129129 | 6.840174 | 2.711044 | 4.129129 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Captured in a close-up shot, a man with light-colored skin, a mustache, and a stubbly beard, appears to be speaking or listening intently, his eyes wide with a look of concern or surprise; the lighting is subdued, casting subtle shadows across his face, accentuating his facial features as he reacts to something unseen;... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man is seen in close-up, expressing concern. He has fair skin, blond hair, and a light beard. The scene is dimly lit, contributing to a serious atmosphere.
| 2.711044 | 1,920 | 898 | 65 | 1920x898 |
short_scene_001_short_12_Rounds_3__Lockdown_(2015)_-_Hard_Wired_Scene_(3_5)_|_Movieclips | 4.72463 | {'frame_00:00.png': 4.8352742195129395, 'frame_00:01.png': 4.557107925415039, 'frame_00:02.png': 4.7815070152282715} | short_12_Rounds_3__Lockdown_(2015)_-_Hard_Wired_Scene_(3_5)_|_Movieclips | ../assets/split_scenes/short_12_Rounds_3__Lockdown_(2015)_-_Hard_Wired_Scene_(3_5)_|_Movieclips/short_scene_001.mp4 | 0.176264 | 0.553241 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low co... | 1.666667 | 1.333333 | 0 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"per... | -0.016709 | [-1 1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 1 1 -1 1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=sPlsA3_6hB8 | scene_001 | 1 | 33 | 101 | 00:00:01.376 | 00:00:04.213 | 1.376376 | 4.212546 | 2.83617 | 1.376376 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a dimly lit, smoke-filled environment, a man dressed in a dark shirt is seen holding a phone to his ear. He appears to be engaged in a serious conversation, his expression conveying a sense of urgency and concern. He is positioned near what appears to be a large, blurred, yellow object. A wall with horizontal lines ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man is seen in a dark and smoky environment talking on a phone, with beams of light cutting through the scene. The scene is dimly lit, giving off an intense and suspenseful mood.
| 2.83617 | 1,920 | 810 | 68 | 1920x810 |
short_scene_001_short_12_Rounds_3__Lockdown_(2015)_-_I_Don't_Play_Nice_Scene_(5_5)_|_Movieclips | 4.411905 | {'frame_00:00.png': 4.273164749145508, 'frame_00:01.png': 4.811917781829834, 'frame_00:02.png': 4.472927093505859, 'frame_00:03.png': 4.378774642944336, 'frame_00:04.png': 4.310954570770264, 'frame_00:05.png': 4.223693370819092} | short_12_Rounds_3__Lockdown_(2015)_-_I_Don't_Play_Nice_Scene_(5_5)_|_Movieclips | ../assets/split_scenes/short_12_Rounds_3__Lockdown_(2015)_-_I_Don't_Play_Nice_Scene_(5_5)_|_Movieclips/short_scene_001.mp4 | 0.019495 | 0.114925 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Arti... | 1 | 1 | 0 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"per... | -0.072339 | [-1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=ZdhLQ1toP9s | scene_001 | 1 | 61 | 193 | 00:00:02.544 | 00:00:08.050 | 2.544211 | 8.049716 | 5.505506 | 2.544211 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A figure in a dark long-sleeved shirt walks away from the camera, his back facing the viewer, as another individual in the foreground, partially out of focus, holds a gun pointed in his direction, an American flag barely visible behind them. The scene is dimly lit, contributing to an atmosphere of tension, with the foc... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A person is seen walking in a hallway, while another figure points a gun in the direction of the subject. The scene conveys a tense, suspenseful atmosphere, with muted lighting adding to the sense of foreboding. | 5.505506 | 1,920 | 810 | 132 | 1920x810 |
short_scene_001_short_12_Rounds_3__Lockdown_(2015)_-_Rookie_Mistake_Scene_(4_5)_|_Movieclips | 4.642742 | {'frame_00:00.png': 4.497570991516113, 'frame_00:01.png': 4.547952651977539, 'frame_00:02.png': 4.514873504638672, 'frame_00:03.png': 4.604968547821045, 'frame_00:04.png': 5.048346519470215} | short_12_Rounds_3__Lockdown_(2015)_-_Rookie_Mistake_Scene_(4_5)_|_Movieclips | ../assets/split_scenes/short_12_Rounds_3__Lockdown_(2015)_-_Rookie_Mistake_Scene_(4_5)_|_Movieclips/short_scene_001.mp4 | -0.323016 | 0.192604 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Silhou... | 1.8 | 1.8 | 0 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"per... | -0.003065 | [-1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 1 1 -1 1 -1 -1 -1 1 1
1 1] | https://youtube.com/watch?v=AQpPxTYahZo | scene_001 | 1 | 355 | 475 | 00:00:14.806 | 00:00:19.811 | 14.806473 | 19.811478 | 5.005005 | 14.806473 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a dimly lit hallway, two figures emerge through a doorway. The first man is clad in a police uniform, complete with a "POLICE" insignia on the chest. His demeanor is serious. Following closely behind is another man, dressed in casual dark clothing. They move together through the corridor, the scene's lighting castin... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two figures emerge from a doorway, one wearing a police uniform, with dramatic lighting and an ominous mood. The scene unfolds in a dimly lit, institutional-looking corridor. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_Take_Out_the_Technical_Scene_(3_10)_|_Movieclips | 4.703685 | {'frame_00:00.png': 4.732580661773682, 'frame_00:01.png': 4.76108980178833, 'frame_00:02.png': 4.531744003295898, 'frame_00:03.png': 4.789324760437012} | short_13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_Take_Out_the_Technical_Scene_(3_10)_|_Movieclips | ../assets/split_scenes/short_13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_Take_Out_the_Technical_Scene_(3_10)_|_Movieclips/short_scene_001.mp4 | -0.504122 | 0.54046 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Green, Cyan'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Green, Cyan'}, {'<LIGHTING>': 'Hig... | 4 | 2.75 | 0 | {"0": {"raw_counts": {"car": 1, "person": 4, "total": 5}, "bucketed_counts": {"humans": 4, "animals": 0, "vehicles": 1, "food": 0, "others": 0, "total": 5}}, "1": {"raw_counts": {"car": 1, "person": 2, "handbag": 1, "total": 4}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 1, "food": 0, "others": 1, "tota... | -0.050477 | [-1 1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 1 1 -1 -1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=EL3Ma917bug | scene_001 | 1 | 28 | 121 | 00:00:01.168 | 00:00:05.047 | 1.167835 | 5.046713 | 3.878879 | 1.167835 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds at night, with a cinematic feel. A weathered car sits in the foreground, its windshield covered in droplets, reflecting the ambient light. To the left, a decorative lion statue stands atop a pillar, bathed in a warm, yellow glow. In the background, figures in tactical gear and helmets, armed with rifl... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The image shows armed soldiers moving in a dark, urban setting. The scene is lit with an eerie glow, and a weathered vehicle stands prominently in the foreground, adding to the gritty atmosphere. | 3.878879 | 1,920 | 810 | 93 | 1920x810 |
short_scene_001_short_13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_They're_With_Us_Scene_(10_10)_|_Movieclips | 4.787926 | {'frame_00:00.png': 4.769754409790039, 'frame_00:01.png': 4.704930782318115, 'frame_00:02.png': 4.889092445373535} | short_13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_They're_With_Us_Scene_(10_10)_|_Movieclips | ../assets/split_scenes/short_13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_They're_With_Us_Scene_(10_10)_|_Movieclips/short_scene_001.mp4 | -0.072818 | 0.249599 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Green, Cyan, Blue'}, {... | 2.333333 | 0.666667 | 0 | {"0": {"raw_counts": {"person": 1, "chair": 1, "bench": 1, "total": 3}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 2, "total": 3}}, "1": {"raw_counts": {"person": 1, "bench": 1, "total": 2}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "to... | -0.009466 | [-1 1 1 1 -1 1 1 1 1 1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=OxBd2RQI4eQ | scene_001 | 1 | 71 | 129 | 00:00:02.961 | 00:00:05.380 | 2.961295 | 5.38038 | 2.419086 | 2.961295 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds at dusk, showcasing a rooftop setting overlooking a vast, green field dotted with indistinct buildings and illuminated by scattered lights. A solitary palm tree stands prominently in the center of the field, while smoke drifts gently across the horizon. In the foreground, a series of metallic structur... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene shows an outdoor setting at dusk with a silhouette of a palm tree, buildings and a large field visible in the background. Various pieces of equipment, possibly communication or solar panels, are positioned in the foreground. | 2.419086 | 1,920 | 774 | 58 | 1920x774 |
short_scene_001_short_13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_Welcome_to_Benghazi_Scene_(1_10)_|_Movieclips | 4.389161 | {'frame_00:00.png': 4.152843952178955, 'frame_00:01.png': 4.142398834228516, 'frame_00:02.png': 4.87224006652832} | short_13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_Welcome_to_Benghazi_Scene_(1_10)_|_Movieclips | ../assets/split_scenes/short_13_Hours__The_Secret_Soldiers_of_Benghazi_(2016)_-_Welcome_to_Benghazi_Scene_(1_10)_|_Movieclips/short_scene_001.mp4 | 0.018945 | 0.465812 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Green'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}... | 3.666667 | 3 | 0.333333 | {"0": {"raw_counts": {"person": 4, "total": 4}, "bucketed_counts": {"humans": 4, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 4}}, "1": {"raw_counts": {"bird": 1, "total": 1}, "bucketed_counts": {"humans": 0, "animals": 1, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"car":... | -0.096997 | [-1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=hgqJjr7pBa0 | scene_001 | 1 | 70 | 138 | 00:00:02.920 | 00:00:05.756 | 2.919586 | 5.755756 | 2.83617 | 2.919586 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A chaotic scene unfolds on a bustling street, filled with distressed people fleeing in apparent disarray. In the foreground, a young boy with dark hair gazes directly towards the camera, partially obscured by motion blur, while a muscular man, donning a green head covering and a tactical vest over a black shirt, urgent... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of people runs through a war-torn street, conveying a sense of chaos and urgency. Debris and destruction are visible in the background. | 2.83617 | 1,920 | 810 | 68 | 1920x810 |
short_scene_001_short_2001__A_Space_Odyssey_(1968)_-_Hal_Reads_Lips_Scene_(2_6)_|_Movieclips | 5.413613 | {'frame_00:00.png': 5.339019775390625, 'frame_00:01.png': 5.446316242218018, 'frame_00:02.png': 5.351513862609863, 'frame_00:03.png': 5.434962272644043, 'frame_00:04.png': 5.496254920959473} | short_2001__A_Space_Odyssey_(1968)_-_Hal_Reads_Lips_Scene_(2_6)_|_Movieclips | ../assets/split_scenes/short_2001__A_Space_Odyssey_(1968)_-_Hal_Reads_Lips_Scene_(2_6)_|_Movieclips/short_scene_001.mp4 | 0.060265 | 0.240099 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, ... | 3.2 | 1.2 | 0 | {"0": {"raw_counts": {"train": 1, "total": 1}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 1, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"train": 1, "person": 3, "motorcycle": 1, "total": 5}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 2, "food": 0, "others": 0, "total": 5}... | -0.031331 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=XDO8OYnmkNY | scene_001 | 1 | 123 | 243 | 00:00:05.130 | 00:00:10.135 | 5.13013 | 10.135135 | 5.005005 | 5.13013 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The interior of a spacecraft cockpit is presented with two men wearing grey uniforms. One man faces forward and to the left, while the other faces forward and to the right, both focused on the controls. The cockpit is dimly lit, with red accents along the top and blue buttons on the control panels. Through a central wi... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two men wearing gray uniforms navigate a futuristic spaceship, illuminated by the soft glow of the control panels and the red interior lighting. The scene evokes a sense of anticipation and technological immersion.
| 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_2001__A_Space_Odyssey_(1968)_-_I'm_Afraid_Scene_(4_6)_|_Movieclips | 5.317152 | {'frame_00:00.png': 5.238839149475098, 'frame_00:01.png': 5.433579444885254, 'frame_00:02.png': 5.341594219207764, 'frame_00:03.png': 5.380237579345703, 'frame_00:04.png': 5.230224609375, 'frame_00:05.png': 5.278438091278076} | short_2001__A_Space_Odyssey_(1968)_-_I'm_Afraid_Scene_(4_6)_|_Movieclips | ../assets/split_scenes/short_2001__A_Space_Odyssey_(1968)_-_I'm_Afraid_Scene_(4_6)_|_Movieclips/short_scene_001.mp4 | -0.008818 | 0.036102 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Hard light, High contrast, Top l... | 0 | 0 | 0 | {"0": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "1": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "2": {"raw_counts": {"total": 0}, "bucketed_counts"... | -0.133432 | [-1 -1 1 1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1
-1 -1] | https://youtube.com/watch?v=HH37JTBpi2A | scene_001 | 1 | 339 | 476 | 00:00:14.139 | 00:00:19.853 | 14.139139 | 19.853187 | 5.714047 | 14.139139 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A figure in a white suit appears to fall through the middle of an abstract and symmetrical room, bathed in intense red light. The room's architecture consists of a grid pattern on the floor and ceiling, with walls adorned with rectangles that seem to be lit from within. The figure's descent is slow, with limbs outstret... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A figure suspended in space floats in a red-lit chamber with textured walls, creating a surreal and unsettling atmosphere. The scene is dominated by a monochromatic palette and the interplay of light and shadow, emphasizing the isolation and mystery of the figure's confinement.
| 5.714047 | 1,920 | 810 | 137 | 1920x810 |
short_scene_001_short_2001__A_Space_Odyssey_(1968)_-_I'm_Sorry,_Dave_Scene_(3_6)_|_Movieclips | 4.925449 | {'frame_00:00.png': 4.911889553070068, 'frame_00:01.png': 4.927077293395996, 'frame_00:02.png': 4.970498085021973, 'frame_00:03.png': 4.903609275817871, 'frame_00:04.png': 4.914168357849121} | short_2001__A_Space_Odyssey_(1968)_-_I'm_Sorry,_Dave_Scene_(3_6)_|_Movieclips | ../assets/split_scenes/short_2001__A_Space_Odyssey_(1968)_-_I'm_Sorry,_Dave_Scene_(3_6)_|_Movieclips/short_scene_001.mp4 | 0.016057 | 0.131523 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Green, Blue, Magenta'}, {'<LIGHTING>': 'Hard light, High contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Mixed light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Blue, Magenta'}, {'<LIGH... | 0.6 | 0 | 0 | {"0": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "1": {"raw_counts": {"tv": 1, "total": 1}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 1}}, "2": {"raw_counts": {"tv": 1, "total": 1},... | -0.042918 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 -1 -1 -1 -1 1 1 -1
1 -1] | https://youtube.com/watch?v=Wy4EfdnMZ5g | scene_001 | 1 | 99 | 197 | 00:00:04.129 | 00:00:08.217 | 4.129129 | 8.21655 | 4.087421 | 4.129129 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The view from the cockpit of a spacecraft displays a stark contrast between the illuminated interior and the vast, dark expanse of space outside. A smaller, spherical module is visible in the distance, its lights reflecting off the surrounding darkness. The cockpit itself is filled with panels and monitors, some displa... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | From the cockpit of a spaceship, another spacecraft is viewed through the window as the crew's instruments are displayed on the screen, suggesting a deep-space journey. The atmosphere is tense and anticipatory as the spaceship prepares for a critical operation. | 4.087421 | 1,920 | 810 | 98 | 1920x810 |
short_scene_001_short_2001__A_Space_Odyssey_Movie_CLIP_-_A_Conversation_with_HAL_(1968)_HD | 5.0163 | {'frame_00:00.png': 5.0062336921691895, 'frame_00:01.png': 5.0379486083984375, 'frame_00:02.png': 5.006622314453125, 'frame_00:03.png': 5.014396667480469} | short_2001__A_Space_Odyssey_Movie_CLIP_-_A_Conversation_with_HAL_(1968)_HD | ../assets/split_scenes/short_2001__A_Space_Odyssey_Movie_CLIP_-_A_Conversation_with_HAL_(1968)_HD/short_scene_001.mp4 | 0.003407 | 0.019866 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Red, Orange, Yellow, Blue'}, {'<LIGHTING>': 'High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Red, Orange, Yellow, Blue'}, {'<LIGHTING>':... | 0 | 0 | 0 | {"0": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "1": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "2": {"raw_counts": {"total": 0}, "bucketed_counts"... | -0.019197 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 1 1 -1 -1 -1 -1 1 -1 1 1 -1
-1 -1] | https://youtube.com/watch?v=r13I-TuDcWI | scene_001 | 1 | 137 | 231 | 00:00:05.714 | 00:00:09.635 | 5.714047 | 9.634635 | 3.920587 | 5.714047 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene is dominated by a static, frontal view of a computer interface, its design both sleek and imposing. A circular lens, encased in a metallic frame, features a deep red hue, creating a sense of ominous calm. At the center of the lens, a bright, concentrated point of light shines intensely. The surrounding surfac... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A computer monitor with a singular, glowing red dot dominates the frame, creating an ominous atmosphere. Reflected lights gleam across its surface, suggesting a sleek, advanced technology.
| 3.920587 | 1,280 | 540 | 94 | 1280x540 |
short_scene_001_short_200_Dollars_-_Paper_Moon_(1_8)_Movie_CLIP_(1973)_HD | 4.920638 | {'frame_00:00.png': 4.991849899291992, 'frame_00:01.png': 4.782049655914307, 'frame_00:02.png': 4.797402381896973, 'frame_00:03.png': 4.862778186798096, 'frame_00:04.png': 5.077093601226807, 'frame_00:05.png': 4.998974323272705, 'frame_00:06.png': 4.934320449829102} | short_200_Dollars_-_Paper_Moon_(1_8)_Movie_CLIP_(1973)_HD | ../assets/split_scenes/short_200_Dollars_-_Paper_Moon_(1_8)_Movie_CLIP_(1973)_HD/short_scene_001.mp4 | 0.155442 | 0.122543 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificia... | 2.571429 | 2.285714 | 0 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 3, "total": 3}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 3}}, "2": {"raw_counts": {"per... | 0.007568 | [-1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, 1] | https://youtube.com/watch?v=VBA_fhQoArA | scene_001 | 1 | 128 | 291 | 00:00:05.339 | 00:00:12.137 | 5.338672 | 12.137137 | 6.798465 | 5.338672 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A black and white shot shows a child in a checked hat seated at a table, his mouth open as if speaking or singing, with a man in the background at another table eating and a vintage-style illuminated machine with decorative panels. The child wears a light-colored shirt and overalls, with a glass on the table in front o... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A boy sits at a table in a diner with a man sitting in the background, both eating a meal, captured in black and white. The boy looks forward with an expressive face, while the jukebox stands silently nearby, with subtle shifts in his facial expression and mouth movements.
| 6.798465 | 1,280 | 562 | 163 | 1280x562 |
short_scene_001_short_21_(2008)_-_Beaten_by_the_Pit_Boss_Scene_(7_10)_|_Movieclips | 5.457056 | {'frame_00:00.png': 5.269359588623047, 'frame_00:01.png': 5.612674713134766, 'frame_00:02.png': 5.388995170593262, 'frame_00:03.png': 5.557193756103516} | short_21_(2008)_-_Beaten_by_the_Pit_Boss_Scene_(7_10)_|_Movieclips | ../assets/split_scenes/short_21_(2008)_-_Beaten_by_the_Pit_Boss_Scene_(7_10)_|_Movieclips/short_scene_001.mp4 | -1.166933 | 0.823915 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Art... | 5 | 4 | 0 | {"0": {"raw_counts": {"tie": 1, "person": 5, "total": 6}, "bucketed_counts": {"humans": 5, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 6}}, "1": {"raw_counts": {"person": 4, "tie": 1, "total": 5}, "bucketed_counts": {"humans": 4, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 5}}, "2": ... | 0.03995 | [-1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=f30Twj23WqI | scene_001 | 1 | 35 | 109 | 00:00:01.460 | 00:00:04.546 | 1.459793 | 4.546213 | 3.08642 | 1.459793 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds inside a casino, where a well-dressed man in a dark suit stands overseeing a table with several individuals engaged in a game. To the man's left, a young woman with blonde hair sits attentively, while a young man with dark hair leans forward, his expression suggesting involvement in the game. The ligh... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene takes place in a casino where a man in a suit is interacting with a group of people at a table. The atmosphere appears tense as the man seems to be addressing the group, possibly discussing a game or situation. | 3.08642 | 1,920 | 810 | 74 | 1920x810 |
short_scene_001_short_21_(2008)_-_Counting_Cards_Scene_(5_10)_|_Movieclips | 4.873465 | {'frame_00:00.png': 4.792332649230957, 'frame_00:01.png': 4.744795799255371, 'frame_00:02.png': 5.164666175842285, 'frame_00:03.png': 4.792065143585205} | short_21_(2008)_-_Counting_Cards_Scene_(5_10)_|_Movieclips | ../assets/split_scenes/short_21_(2008)_-_Counting_Cards_Scene_(5_10)_|_Movieclips/short_scene_001.mp4 | 0.134367 | 0.469731 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Backlight, Edge light'}, {'<... | 2 | 2 | 0 | {"0": {"raw_counts": {"person": 3, "total": 3}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 3}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"per... | 0.014026 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=MlCYBrLOP3A | scene_001 | 1 | 143 | 217 | 00:00:05.964 | 00:00:09.051 | 5.964298 | 9.050717 | 3.08642 | 5.964298 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Captured in close-up, a woman with dark hair, wearing a burgundy top, takes a drink from a clear glass with liquid inside. She winces immediately after drinking, her face conveying displeasure. Her eyebrows furrow and she grimaces, suggesting the drink's unpleasant taste. The background is blurred, with bokeh lights cr... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman is shown drinking from a glass, with her face showing a slight look of disgust as she swallows. She is in a busy, brightly lit indoor area. | 3.08642 | 1,920 | 810 | 74 | 1920x810 |
short_scene_001_short_21_(2008)_-_Double-Con_Scene_(10_10)_|_Movieclips | 5.221423 | {'frame_00:00.png': 5.1824469566345215, 'frame_00:01.png': 5.2895684242248535, 'frame_00:02.png': 5.1922526359558105} | short_21_(2008)_-_Double-Con_Scene_(10_10)_|_Movieclips | ../assets/split_scenes/short_21_(2008)_-_Double-Con_Scene_(10_10)_|_Movieclips/short_scene_001.mp4 | -0.101189 | 0.215779 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artifi... | 2.333333 | 2 | 0 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 2, "car": 1, "total": 3}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 1, "food": 0, "others": 0, "total": 3}}, "2": {"raw_coun... | 0.010046 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=pz_yVthhLTE | scene_001 | 1 | 128 | 189 | 00:00:05.339 | 00:00:07.883 | 5.338672 | 7.882883 | 2.544211 | 5.338672 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In an exterior shot bathed in dramatic lighting, a man and woman stand facing forward, seemingly surprised. The man is dressed in a short-sleeved shirt and dark pants, while the woman wears a simple black dress. They are positioned within a long, narrow passageway, possibly an underpass or loading dock area. A "NO PARK... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two people are standing outside in a dimly lit tunnel, with a taxi waiting in the background. They both appear anxious as they look in the same direction. | 2.544211 | 1,920 | 810 | 61 | 1920x810 |
short_scene_001_short_21_(2008)_-_Drunken_Fight_Scene_(6_10)_|_Movieclips | 4.327184 | {'frame_00:00.png': 4.686028957366943, 'frame_00:01.png': 3.7623467445373535, 'frame_00:02.png': 4.533175945281982} | short_21_(2008)_-_Drunken_Fight_Scene_(6_10)_|_Movieclips | ../assets/split_scenes/short_21_(2008)_-_Drunken_Fight_Scene_(6_10)_|_Movieclips/short_scene_001.mp4 | -0.084688 | 0.238244 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTIN... | 1.333333 | 1.333333 | 0 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "2": {"raw_counts": {"per... | -0.029944 | [-1 -1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=HC4TZdahtgo | scene_001 | 1 | 33 | 93 | 00:00:01.376 | 00:00:03.879 | 1.376376 | 3.878879 | 2.502503 | 1.376376 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A close-up captures a person with fair skin and medium-length brown hair, who is wearing a white and blue pinstriped shirt, as they rest their face in their hand, their gaze directed slightly downward. The person is speaking, with a slight pucker to their lips and a furrow in their brow, which suggests a thoughtful exp... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A young man with dark hair and a striped shirt rests his face in his hand while seemingly listening intently to someone out of frame. With dramatic lighting and a close-up perspective, the scene conveys a sense of contemplation and engagement.
| 2.502503 | 1,920 | 810 | 60 | 1920x810 |
short_scene_001_short_21_(2008)_-_How_to_Count_Cards_Scene_(3_10)_|_Movieclips | 5.068765 | {'frame_00:00.png': 5.098289489746094, 'frame_00:01.png': 5.089536666870117, 'frame_00:02.png': 5.104437828063965, 'frame_00:03.png': 5.144060134887695, 'frame_00:04.png': 4.907503128051758} | short_21_(2008)_-_How_to_Count_Cards_Scene_(3_10)_|_Movieclips | ../assets/split_scenes/short_21_(2008)_-_How_to_Count_Cards_Scene_(3_10)_|_Movieclips/short_scene_001.mp4 | -0.023895 | 0.11326 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated, Yellow, Cyan, Blue'}, {'<LIGHTING>': 'Top light'}, {'<LIGHTING_TYPE>': 'Ar... | 7.6 | 6.6 | 0 | {"0": {"raw_counts": {"person": 10, "train": 1, "laptop": 1, "total": 12}, "bucketed_counts": {"humans": 10, "animals": 0, "vehicles": 1, "food": 0, "others": 1, "total": 12}}, "1": {"raw_counts": {"person": 6, "train": 1, "total": 7}, "bucketed_counts": {"humans": 6, "animals": 0, "vehicles": 1, "food": 0, "others": 0... | 0.032529 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=aiBm3jckAf4 | scene_001 | 1 | 110 | 230 | 00:00:04.588 | 00:00:09.593 | 4.587921 | 9.592926 | 5.005005 | 4.587921 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The dim interior of a classic diner is depicted, where a chef in a white uniform works behind a long counter, illuminated by pendant lamps. A vibrant, colorful arcade game stands out near the counter, adding a splash of light to the muted tones. A group of people are seated in a booth against the wall, their faces part... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of people are gathered in a dimly lit diner, seated in booths and enjoying drinks and food, while a chef works at the counter in the background. An arcade game adds a vibrant splash of color to the subdued setting. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_21_(2008)_-_Illegal_Gambling_Scene_(4_10)_|_Movieclips | 4.410473 | {'frame_00:00.png': 4.353404998779297, 'frame_00:01.png': 4.2215681076049805, 'frame_00:02.png': 4.656444549560547} | short_21_(2008)_-_Illegal_Gambling_Scene_(4_10)_|_Movieclips | ../assets/split_scenes/short_21_(2008)_-_Illegal_Gambling_Scene_(4_10)_|_Movieclips/short_scene_001.mp4 | -0.167082 | 0.682392 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'High contrast, Silhouette, Backlight'}, {'<LIG... | 1 | 0.666667 | 0 | {"0": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"chair": 1, "pers... | -0.02704 | [-1 1 1 -1 -1 1 1 -1 1 1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=mnrxJ_2sfpU | scene_001 | 1 | 127 | 198 | 00:00:05.297 | 00:00:08.258 | 5.296964 | 8.258258 | 2.961295 | 5.296964 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The dimly lit scene frames two figures inside an Asian-themed establishment, as seen through a window with decorative circular patterns. The individual on the left, partially obscured by the window design, is clad in a red shirt and appears to be engaged in a phone call. The figure on the right, mostly in silhouette, s... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two people are seen through a window with ornate decorations, dining inside a warmly lit restaurant. One person appears to be on the phone, while the other is seated across from them.
| 2.961295 | 1,920 | 810 | 71 | 1920x810 |
short_scene_001_short_21_(2008)_-_Secret_Blackjack_Club_Scene_(2_10)_|_Movieclips | 4.999551 | {'frame_00:00.png': 4.695870876312256, 'frame_00:01.png': 4.742573261260986, 'frame_00:02.png': 5.170311450958252, 'frame_00:03.png': 5.029668807983398, 'frame_00:04.png': 5.3593292236328125} | short_21_(2008)_-_Secret_Blackjack_Club_Scene_(2_10)_|_Movieclips | ../assets/split_scenes/short_21_(2008)_-_Secret_Blackjack_Club_Scene_(2_10)_|_Movieclips/short_scene_001.mp4 | 0.187766 | 0.18538 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'... | 1.4 | 1.4 | 0 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"per... | -0.014563 | [-1 1 1 1 -1 -1 1 -1 -1 -1 -1 1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=AcdZaXYh2f0 | scene_001 | 1 | 155 | 263 | 00:00:06.465 | 00:00:10.969 | 6.464798 | 10.969303 | 4.504505 | 6.464798 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A young man with dark hair and a red jacket walks into a dimly lit room. He adjusts his jacket, slinging a dark bag over his shoulder, and glances to the side. Behind him, another young man with similar features enters the room, wearing a dark argyle sweater vest. The first man continues to look ahead, while the second... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two young men walk down a dimly lit hallway, one wearing a red jacket and checkered shirt, and the other wearing a patterned sweater. They appear to be in an institutional setting, possibly a school or dormitory. | 4.504505 | 1,920 | 810 | 108 | 1920x810 |
short_scene_001_short_21_(2008)_-_Winner,_Winner,_Chicken_Dinner_Scene_(1_10)_|_Movieclips | 3.877576 | {'frame_00:00.png': 3.7902464866638184, 'frame_00:01.png': 4.300738334655762, 'frame_00:02.png': 4.093969821929932, 'frame_00:03.png': 3.502963066101074, 'frame_00:04.png': 3.6999616622924805} | short_21_(2008)_-_Winner,_Winner,_Chicken_Dinner_Scene_(1_10)_|_Movieclips | ../assets/split_scenes/short_21_(2008)_-_Winner,_Winner,_Chicken_Dinner_Scene_(1_10)_|_Movieclips/short_scene_001.mp4 | -0.081789 | 0 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'},... | 0.2 | 0 | 0.2 | {"0": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "1": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "2": {"raw_counts": {"total": 0}, "bucketed_counts"... | -0.125886 | [-1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 -1 -1 -1 -1 -1 -1 -1
1 -1] | https://youtube.com/watch?v=ds0q8DVz94I | scene_001 | 1 | 55 | 175 | 00:00:02.294 | 00:00:07.299 | 2.293961 | 7.298966 | 5.005005 | 2.293961 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The video opens with a light, hazy background that fades into a dark horizon. The camera then zooms in to a spinning roulette wheel, with many colored chips around it. The roulette wheel stops on the number $1000, with the camera remaining close.
| You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A wide view of a hazy, indistinct landscape is followed by a rotating collection of stacks of coins. The camera zooms in on one of the coins, revealing the number $1000. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_27_Dresses_(1_5)_Movie_CLIP_-_Can't_Say_No_(2008)_HD | 5.040397 | {'frame_00:00.png': 4.759851932525635, 'frame_00:01.png': 5.169393539428711, 'frame_00:02.png': 5.230504989624023, 'frame_00:03.png': 4.963179111480713, 'frame_00:04.png': 5.079054832458496} | short_27_Dresses_(1_5)_Movie_CLIP_-_Can't_Say_No_(2008)_HD | ../assets/split_scenes/short_27_Dresses_(1_5)_Movie_CLIP_-_Can't_Say_No_(2008)_HD/short_scene_001.mp4 | 0.08851 | 0.256261 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical li... | 4.4 | 3.8 | 0 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 5, "cup": 1, "total": 6}, "bucketed_counts": {"humans": 5, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 6}}, "2": {"raw_coun... | 0.04393 | [-1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=r4K7eNzseCI | scene_001 | 1 | 204 | 324 | 00:00:08.509 | 00:00:13.514 | 8.508509 | 13.513514 | 5.005005 | 8.508509 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Two individuals are sitting at a bar, engaged in conversation with soft lighting, as one is partially in shadow with the back of their head facing the camera, while the other, with their hair styled in a low bun, looks down pensively. The composition then shifts, revealing a medium shot of both individuals sitting at t... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | At a dimly lit bar, a man and a woman sit at the counter, engaged in an emotional conversation. The woman listens intently, while the man seems troubled. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_27_Dresses_(3_5)_Movie_CLIP_-_The_Truth_About_Tess_and_George_(2008)_HD | 4.747331 | {'frame_00:00.png': 4.559791564941406, 'frame_00:01.png': 4.843277931213379, 'frame_00:02.png': 4.838923454284668} | short_27_Dresses_(3_5)_Movie_CLIP_-_The_Truth_About_Tess_and_George_(2008)_HD | ../assets/split_scenes/short_27_Dresses_(3_5)_Movie_CLIP_-_The_Truth_About_Tess_and_George_(2008)_HD/short_scene_001.mp4 | 0.445861 | 0.30604 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artifi... | 18.666667 | 7.666667 | 0 | {"0": {"raw_counts": {"tie": 2, "person": 7, "cup": 3, "chair": 3, "potted plant": 1, "dining table": 1, "wine glass": 2, "total": 19}, "bucketed_counts": {"humans": 7, "animals": 0, "vehicles": 0, "food": 0, "others": 12, "total": 19}}, "1": {"raw_counts": {"person": 9, "cup": 3, "chair": 2, "potted plant": 1, "tie": ... | 0.03995 | [-1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=ts4gt7f_rek | scene_001 | 1 | 76 | 130 | 00:00:03.170 | 00:00:05.422 | 3.169837 | 5.422089 | 2.252252 | 3.169837 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds in a warmly lit, upscale restaurant where four individuals are seated around a table, engaged in an event. An elderly woman, dressed in a light-colored patterned jacket, sits to the left, while to her right, a younger person in a dark suit and light tie appears. A middle-aged man in a suit is seated t... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of people is seated at a table in a restaurant, enjoying a meal and engaging in conversation, as a waiter attends to other guests in the background. The atmosphere appears formal and celebratory, with elegant floral arrangements and sophisticated attire.
| 2.252252 | 1,920 | 810 | 54 | 1920x810 |
short_scene_001_short_27_Dresses_(4_5)_Movie_CLIP_-_I_Think_You_Deserve_More_(2008)_HD | 5.09467 | {'frame_00:00.png': 5.043787956237793, 'frame_00:01.png': 4.902954578399658, 'frame_00:02.png': 5.024234294891357, 'frame_00:03.png': 5.219892501831055, 'frame_00:04.png': 5.282482147216797} | short_27_Dresses_(4_5)_Movie_CLIP_-_I_Think_You_Deserve_More_(2008)_HD | ../assets/split_scenes/short_27_Dresses_(4_5)_Movie_CLIP_-_I_Think_You_Deserve_More_(2008)_HD/short_scene_001.mp4 | -1.14941 | 0.825186 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial lig... | 4 | 2.2 | 0 | {"0": {"raw_counts": {"person": 1, "car": 2, "total": 3}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 2, "food": 0, "others": 0, "total": 3}}, "1": {"raw_counts": {"car": 2, "person": 2, "total": 4}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 2, "food": 0, "others": 0, "total": 4}}, "2": ... | 0.045901 | [-1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 -1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=0-HM2VCdrC0 | scene_001 | 1 | 93 | 191 | 00:00:03.879 | 00:00:07.966 | 3.878879 | 7.9663 | 4.087421 | 3.878879 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A woman with shoulder-length blonde hair, wearing a black sleeveless dress and a thin necklace, is seen in a medium shot standing on a city street at night, engaging in a tense conversation with a man whose back is to the camera, capturing only a partial view of his right shoulder and head. The woman's expressions alte... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman in a black dress, standing on a city street at night, argues with a man, her expression conveying distress and frustration. The scene is set against a backdrop of parked cars and illuminated buildings. | 4.087421 | 1,920 | 810 | 98 | 1920x810 |
short_scene_001_short_27_Dresses_(5_5)_Movie_CLIP_-_Get_Over_Here_(2008)_HD | 4.318134 | {'frame_00:00.png': 4.208882808685303, 'frame_00:01.png': 4.4043073654174805, 'frame_00:02.png': 4.101958274841309, 'frame_00:03.png': 4.374240398406982, 'frame_00:04.png': 4.28245210647583, 'frame_00:05.png': 4.536960124969482} | short_27_Dresses_(5_5)_Movie_CLIP_-_Get_Over_Here_(2008)_HD | ../assets/split_scenes/short_27_Dresses_(5_5)_Movie_CLIP_-_Get_Over_Here_(2008)_HD/short_scene_001.mp4 | 0.197861 | 0.048722 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}... | 8.833333 | 7.5 | 0 | {"0": {"raw_counts": {"person": 8, "tie": 1, "cell phone": 1, "total": 10}, "bucketed_counts": {"humans": 8, "animals": 0, "vehicles": 0, "food": 0, "others": 2, "total": 10}}, "1": {"raw_counts": {"person": 9, "tie": 2, "total": 11}, "bucketed_counts": {"humans": 9, "animals": 0, "vehicles": 0, "food": 0, "others": 2,... | -0.070824 | [-1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=OI2JPJj1d6s | scene_001 | 1 | 89 | 215 | 00:00:03.712 | 00:00:08.967 | 3.712045 | 8.967301 | 5.255255 | 3.712045 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A crowded formal event unfolds with attendees in tuxedos mingling amid the dark ambiance, punctuated by subtle lighting. A woman in a red dress stands amidst the crowd, while another woman looks on, standing beside the man in a tuxedo. The camera captures a man in a casual shirt and jacket threading through the crowd, ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A crowded scene unfolds with many people dressed in formal wear, suggesting a gala or formal gathering. The setting is dimly lit, which adds a touch of elegance and mystery.
| 5.255255 | 1,920 | 810 | 126 | 1920x810 |
short_scene_001_short_2_Days_in_the_Valley_(3_8)_Movie_CLIP_-_It's_Crooked_(1996)_HD | 4.556855 | {'frame_00:00.png': 4.2723894119262695, 'frame_00:01.png': 4.862867832183838, 'frame_00:02.png': 4.535306930541992} | short_2_Days_in_the_Valley_(3_8)_Movie_CLIP_-_It's_Crooked_(1996)_HD | ../assets/split_scenes/short_2_Days_in_the_Valley_(3_8)_Movie_CLIP_-_It's_Crooked_(1996)_HD/short_scene_001.mp4 | 1.193975 | 0.130375 | {'frame_00:00.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Green, White'}, {'<LIGHTING>': 'Hard light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny... | 2 | 1 | 0 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 1, "tie": 2, "total": 3}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 2, "total": 3}}, "2": {"raw_coun... | -0.019743 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 1 -1 -1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=KGKqdRDo-N8 | scene_001 | 1 | 34 | 93 | 00:00:01.418 | 00:00:03.879 | 1.418085 | 3.878879 | 2.460794 | 1.418085 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man is captured in a medium shot, his face contorted with either exertion or strong emotion. He is wearing a white shirt, partially unbuttoned to reveal a colorful t-shirt underneath, and a black vest. The background shows a clear, bright sky and a cluster of pine trees on the right, suggesting an outdoor setting. Th... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man is seen running outside in the daytime with an expression of panic or urgency. The scene is shot outdoors with a clear sky in the background. | 2.460794 | 1,280 | 558 | 59 | 1280x558 |
short_scene_001_short_2_Days_in_the_Valley_(4_8)_Movie_CLIP_-_I_Don't_Need_a_Nose_Job?_(1996)_HD | 4.366903 | {'frame_00:00.png': 4.329619407653809, 'frame_00:01.png': 4.397881031036377, 'frame_00:02.png': 4.373207092285156} | short_2_Days_in_the_Valley_(4_8)_Movie_CLIP_-_I_Don't_Need_a_Nose_Job?_(1996)_HD | ../assets/split_scenes/short_2_Days_in_the_Valley_(4_8)_Movie_CLIP_-_I_Don't_Need_a_Nose_Job?_(1996)_HD/short_scene_001.mp4 | -0.01872 | 0.23041 | {'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:02.... | 3 | 1.666667 | 0 | {"0": {"raw_counts": {"person": 1, "oven": 1, "total": 2}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 2}}, "1": {"raw_counts": {"person": 2, "oven": 1, "cell phone": 1, "total": 4}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 2, ... | -0.031331 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=OXcI5qu76jY | scene_001 | 1 | 63 | 117 | 00:00:02.628 | 00:00:04.880 | 2.627628 | 4.87988 | 2.252252 | 2.627628 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man stands in a kitchen, stirring a pot on the stove with a wooden spoon in his right hand. In his left hand, he holds a black handgun, pointed downwards. He wears a white t-shirt with a silver chain, a black and beige short-sleeved shirt, and a wristwatch. Beside him is a stainless steel oven and to the left, two de... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A person in a black and white shirt stands in a kitchen, holding a gun and stirring a pot on the stove. A large painting of human figures hangs on the wall in the background.
| 2.252252 | 1,280 | 526 | 54 | 1280x526 |
short_scene_001_short_2_Days_in_the_Valley_(5_8)_Movie_CLIP_-_We_Are_the_Police_(1996)_HD | 4.32816 | {'frame_00:00.png': 4.325369358062744, 'frame_00:01.png': 4.092592239379883, 'frame_00:02.png': 4.291689872741699, 'frame_00:03.png': 4.198762893676758, 'frame_00:04.png': 4.732388019561768} | short_2_Days_in_the_Valley_(5_8)_Movie_CLIP_-_We_Are_the_Police_(1996)_HD | ../assets/split_scenes/short_2_Days_in_the_Valley_(5_8)_Movie_CLIP_-_We_Are_the_Police_(1996)_HD/short_scene_001.mp4 | 0.290358 | 0.596226 | {'frame_00:00.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Green, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION... | 1.6 | 1.4 | 0.2 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"per... | 0.036509 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=mcWrZOrafnA | scene_001 | 1 | 78 | 198 | 00:00:03.253 | 00:00:08.258 | 3.253253 | 8.258258 | 5.005005 | 3.253253 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man with long hair and a beard is driving a car on a winding road surrounded by trees. The camera focuses on his face as he speaks, revealing a range of emotions from frustration to contemplation. His expression shifts as he glances to the side, seemingly reacting to something outside the vehicle. The scene unfolds w... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man with a beard is driving a car, looking concerned and speaking. The scene is set in a car with trees visible outside the window, creating a sense of motion.
| 5.005005 | 1,280 | 462 | 120 | 1280x462 |
short_scene_001_short_2_Days_in_the_Valley_(7_8)_Movie_CLIP_-_Come_Out_From_Behind_That_Tree_(1996)_HD | 4.382193 | {'frame_00:00.png': 4.305116176605225, 'frame_00:01.png': 4.17812967300415, 'frame_00:02.png': 4.3674726486206055, 'frame_00:03.png': 4.468270778656006, 'frame_00:04.png': 4.591973781585693} | short_2_Days_in_the_Valley_(7_8)_Movie_CLIP_-_Come_Out_From_Behind_That_Tree_(1996)_HD | ../assets/split_scenes/short_2_Days_in_the_Valley_(7_8)_Movie_CLIP_-_Come_Out_From_Behind_That_Tree_(1996)_HD/short_scene_001.mp4 | 1.128686 | 2.751794 | {'frame_00:00.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Green'}, {'<LIGHTING>': 'Hard light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<COLOR>':... | 2.2 | 0 | 0 | {"0": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "1": {"raw_counts": {"car": 1, "total": 1}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 1, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"car": 2, "total": 2... | 0.033975 | [-1 1 1 1 1 1 1 -1 1 1 -1 1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=p_UeWtpIW08 | scene_001 | 1 | 627 | 747 | 00:00:26.151 | 00:00:31.156 | 26.151151 | 31.156156 | 5.005005 | 26.151151 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A daytime scene unfolds on a quiet residential street, lined with lush trees casting shadows on the pavement. A chain-link fence runs parallel to the road, separating the street from a verdant, grassy area dotted with more trees. As the perspective shifts, several vehicles come into view, parked along the roadside. The... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The camera captures a quiet residential street lined with trees, with houses set back behind lawns and fences. As the perspective shifts, several cars come into view, parked along the side of the road under the dappled sunlight filtering through the leaves. | 5.005005 | 1,280 | 540 | 120 | 1280x540 |
short_scene_001_short_300_(2006)_-_Divine_Power_Scene_(4_5)_|_Movieclips | 4.846045 | {'frame_00:00.png': 4.824295520782471, 'frame_00:01.png': 4.836131572723389, 'frame_00:02.png': 4.905257701873779, 'frame_00:03.png': 4.820971965789795, 'frame_00:04.png': 4.843566417694092} | short_300_(2006)_-_Divine_Power_Scene_(4_5)_|_Movieclips | ../assets/split_scenes/short_300_(2006)_-_Divine_Power_Scene_(4_5)_|_Movieclips/short_scene_001.mp4 | -0.270898 | 0.468343 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_T... | 3.2 | 2.6 | 0.6 | {"0": {"raw_counts": {"cow": 2, "person": 2, "total": 4}, "bucketed_counts": {"humans": 2, "animals": 2, "vehicles": 0, "food": 0, "others": 0, "total": 4}}, "1": {"raw_counts": {"person": 2, "cow": 1, "total": 3}, "bucketed_counts": {"humans": 2, "animals": 1, "vehicles": 0, "food": 0, "others": 0, "total": 3}}, "2": ... | -0.046377 | [-1 1 1 -1 -1 1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=kmgRv2V_7P4 | scene_001 | 1 | 119 | 238 | 00:00:04.963 | 00:00:09.927 | 4.963297 | 9.926593 | 4.963297 | 4.963297 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A large, ornate golden palanquin is carried by a group of people across a rugged, mountainous landscape under a cloudy sky. At the top of the palanquin's steps stands a tall, thin figure. The palanquin is adorned with statues of lions and horned animals, adding to its imposing appearance. A lone figure in a red cape st... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A regal figure stands atop an elaborate, elevated platform carried by a large group of people, moving through a rocky, mountainous landscape. The scene is marked by dramatic lighting and a sense of foreboding.
| 4.963297 | 1,280 | 516 | 119 | 1280x516 |
short_scene_001_short_300_(2006)_-_Remember_Us_Scene_(5_5)_|_Movieclips | 5.094415 | {'frame_00:00.png': 4.975671291351318, 'frame_00:01.png': 5.139105796813965, 'frame_00:02.png': 5.205145359039307, 'frame_00:03.png': 4.995429515838623, 'frame_00:04.png': 5.156721591949463} | short_300_(2006)_-_Remember_Us_Scene_(5_5)_|_Movieclips | ../assets/split_scenes/short_300_(2006)_-_Remember_Us_Scene_(5_5)_|_Movieclips/short_scene_001.mp4 | 0.133876 | 0.482938 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_T... | 3.2 | 2.2 | 0 | {"0": {"raw_counts": {"person": 2, "backpack": 1, "total": 3}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 3}}, "1": {"raw_counts": {"person": 2, "backpack": 2, "total": 4}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 2, "total": ... | -0.002508 | [-1 1 1 1 -1 1 1 1 1 1 -1 1 1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=nHByIEUb37Y | scene_001 | 1 | 193 | 313 | 00:00:08.050 | 00:00:13.055 | 8.049716 | 13.054721 | 5.005005 | 8.049716 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A figure stands in a golden field of wheat, a spear held in one hand and a shield in the other, with what appears to be a bandage over the eyes. The figure is dressed in a cape and minimal clothing and has a muscular build. The lighting is dramatic, with the sun setting behind the figure, and mountains visible in the b... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A warrior with a head wound is seen walking across a golden field with his spear and shield, with a second figure shown in the distance. The scene features dramatic lighting and dark clouds in the sky. | 5.005005 | 1,280 | 540 | 120 | 1280x540 |
short_scene_001_short_300_(2006)_-_This_Is_Sparta!_Scene_(1_5)_|_Movieclips | 4.826733 | {'frame_00:00.png': 5.049917697906494, 'frame_00:01.png': 4.577976703643799, 'frame_00:02.png': 4.8951029777526855, 'frame_00:03.png': 4.817695617675781, 'frame_00:04.png': 4.792971134185791} | short_300_(2006)_-_This_Is_Sparta!_Scene_(1_5)_|_Movieclips | ../assets/split_scenes/short_300_(2006)_-_This_Is_Sparta!_Scene_(1_5)_|_Movieclips/short_scene_001.mp4 | 0.881053 | 2.094496 | {'frame_00:00.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, White'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left hea... | 5.2 | 5.2 | 0 | {"0": {"raw_counts": {"person": 8, "total": 8}, "bucketed_counts": {"humans": 8, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 8}}, "1": {"raw_counts": {"person": 4, "total": 4}, "bucketed_counts": {"humans": 4, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 4}}, "2": {"raw_counts": {"per... | 0.014026 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=4Prc1UfuokY | scene_001 | 1 | 180 | 282 | 00:00:07.508 | 00:00:11.762 | 7.507508 | 11.761762 | 4.254254 | 7.507508 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds with a group of muscular, bearded men, many draped in cloaks or simple tunics, standing amidst a backdrop of stone columns suggesting an ancient structure. The primary subject, a man with a prominent beard and muscular build, is at the forefront, engaging in intense conversation with someone just outs... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of muscular men are seen conversing in an ancient setting, surrounded by stone columns and other figures. The scene exudes a serious and confrontational mood, enhanced by the focused expressions of the men.
| 4.254254 | 1,280 | 540 | 102 | 1280x540 |
short_scene_001_short_300_(2006)_-_This_Is_Where_We_Fight_Scene_(2_5)_|_Movieclips | 4.924236 | {'frame_00:00.png': 4.7732720375061035, 'frame_00:01.png': 5.056448936462402, 'frame_00:02.png': 4.942988395690918} | short_300_(2006)_-_This_Is_Where_We_Fight_Scene_(2_5)_|_Movieclips | ../assets/split_scenes/short_300_(2006)_-_This_Is_Where_We_Fight_Scene_(2_5)_|_Movieclips/short_scene_001.mp4 | -1.382468 | 0.503942 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, White'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight'}, {'<LIGHTING_TYPE>': ... | 1.666667 | 1.333333 | 0 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 1, "skateboard": 1, "total": 2}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 2}}, "2": {"r... | -0.01428 | [-1 1 1 -1 -1 1 1 -1 -1 1 -1 1 1 -1 1 1 1 -1 -1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=cDpI6Zzy-vo | scene_001 | 1 | 202 | 269 | 00:00:08.425 | 00:00:11.220 | 8.425092 | 11.219553 | 2.794461 | 8.425092 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A warrior in a helmet turns his head to the side, his eyes wide with determination as he prepares for battle, holding a spear firmly in his hand, with a large army visible in the distance, against a backdrop of dramatic, hazy lighting.
| You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A warrior clad in armor turns to face the camera with an intense, determined expression, framed by a vast expanse of what appears to be an ancient battlefield. The scene is lit with dramatic lighting, enhancing the sense of urgency and impending conflict.
| 2.794461 | 1,280 | 540 | 67 | 1280x540 |
short_scene_001_short_300__Rise_of_an_Empire_(2014)_-_Spartan_Rescue_Scene_(10_10)_|_Movieclips | 5.159782 | {'frame_00:00.png': 5.340054988861084, 'frame_00:01.png': 5.350725173950195, 'frame_00:02.png': 4.939764022827148, 'frame_00:03.png': 5.008583068847656} | short_300__Rise_of_an_Empire_(2014)_-_Spartan_Rescue_Scene_(10_10)_|_Movieclips | ../assets/split_scenes/short_300__Rise_of_an_Empire_(2014)_-_Spartan_Rescue_Scene_(10_10)_|_Movieclips/short_scene_001.mp4 | 0.087205 | 0.524205 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Yellow'}, {'<LIGHTING>': 'Hard light, High contrast, Backlight, Edge ... | 3 | 3 | 0 | {"0": {"raw_counts": {"person": 3, "total": 3}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 3}}, "1": {"raw_counts": {"person": 4, "total": 4}, "bucketed_counts": {"humans": 4, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 4}}, "2": {"raw_counts": {"per... | -0.021872 | [-1 -1 1 1 -1 1 1 1 1 1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=-jtzzs0_bM4 | scene_001 | 1 | 51 | 130 | 00:00:02.127 | 00:00:05.422 | 2.127127 | 5.422089 | 3.294962 | 2.127127 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A scene unfolds with two figures in close proximity, poised for conflict. On the left, a figure with dark hair, partially obscured from view, wields a golden sword with ornate detailing on its hilt and wrist guard. The sword is directed towards the right, where a muscular figure stands, bearing the marks of battle on t... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A dramatic scene shows a man and a woman engaged in a tense standoff, swords clashing with the sea and ships visible in the background. The lighting is dramatic, enhancing the intensity of the moment.
| 3.294962 | 1,920 | 774 | 79 | 1920x774 |
short_scene_001_short_300__Rise_of_an_Empire_(2014)_-_Surrender_to_Me_Scene_(9_10)_|_Movieclips | 5.749159 | {'frame_00:00.png': 5.798855781555176, 'frame_00:01.png': 5.680508613586426, 'frame_00:02.png': 5.768112659454346} | short_300__Rise_of_an_Empire_(2014)_-_Surrender_to_Me_Scene_(9_10)_|_Movieclips | ../assets/split_scenes/short_300__Rise_of_an_Empire_(2014)_-_Surrender_to_Me_Scene_(9_10)_|_Movieclips/short_scene_001.mp4 | 0.73083 | 0.065719 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated, Yellow'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, ... | 1.666667 | 1 | 0 | {"0": {"raw_counts": {"person": 1, "tie": 1, "total": 2}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 2}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_coun... | 0.070065 | [ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 -1 -1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=VOk7mIZRPzI | scene_001 | 1 | 1,260 | 1,327 | 00:00:52.553 | 00:00:55.347 | 52.552553 | 55.347014 | 2.794461 | 52.552553 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A woman with long, dark hair and dramatic eye makeup gazes downward with a serious expression. She is adorned with a dark outfit featuring metallic accents on the shoulders and a unique golden necklace. The background features a somewhat blurred and cloudy sky, with light peeking through the clouds. The overall lightin... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman with long dark hair stares downward with a slight frown while wearing dark clothing with golden decorative elements, against a cloudy sky backdrop. The scene is atmospheric, with a desaturated color palette emphasizing the subject's intense gaze.
| 2.794461 | 1,920 | 790 | 67 | 1920x790 |
short_scene_001_short_300__Rise_of_an_Empire_(2014)_-_The_Ecstasy_Scene_(6_10)_|_Movieclips | 5.619147 | {'frame_00:00.png': 5.70490837097168, 'frame_00:01.png': 5.555078983306885, 'frame_00:02.png': 5.571148872375488, 'frame_00:03.png': 5.6470513343811035, 'frame_00:04.png': 5.6175456047058105} | short_300__Rise_of_an_Empire_(2014)_-_The_Ecstasy_Scene_(6_10)_|_Movieclips | ../assets/split_scenes/short_300__Rise_of_an_Empire_(2014)_-_The_Ecstasy_Scene_(6_10)_|_Movieclips/short_scene_001.mp4 | 1.259459 | 0.085733 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Green'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>... | 2 | 2 | 0 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "2": {"raw_counts": {"per... | 0.067376 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 -1 -1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=XDnXI6KXoeg | scene_001 | 1 | 469 | 582 | 00:00:19.561 | 00:00:24.274 | 19.561228 | 24.274274 | 4.713046 | 19.561228 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man with short brown hair and a beard faces a dark-haired person whose face is mostly out of frame. The man is wearing a green tunic and looks intently at the other person with a serious expression. The background is dark and appears to be inside a stone structure, with dim light highlighting the man's face and upper... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man with a beard in a green garment glances at another figure beside him. The scene is dimly lit, creating a dramatic and intense mood. | 4.713046 | 1,920 | 810 | 113 | 1920x810 |
short_scene_001_short_30_Minutes_or_Less_(2011)_-_Hitman_Attack_Scene_(7_9)_|_Movieclips | 5.01536 | {'frame_00:00.png': 5.008124351501465, 'frame_00:01.png': 4.812470436096191, 'frame_00:02.png': 5.011195659637451, 'frame_00:03.png': 5.229647636413574} | short_30_Minutes_or_Less_(2011)_-_Hitman_Attack_Scene_(7_9)_|_Movieclips | ../assets/split_scenes/short_30_Minutes_or_Less_(2011)_-_Hitman_Attack_Scene_(7_9)_|_Movieclips/short_scene_001.mp4 | -0.079189 | 0.236451 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}],... | 2.25 | 1.25 | 0 | {"0": {"raw_counts": {"person": 1, "remote": 1, "total": 2}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 2}}, "1": {"raw_counts": {"person": 2, "chair": 1, "total": 3}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 3}}, ... | 0.025632 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 1
1 1] | https://youtube.com/watch?v=XC_66AiT5xQ | scene_001 | 1 | 125 | 212 | 00:00:05.214 | 00:00:08.842 | 5.213547 | 8.842176 | 3.628629 | 5.213547 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | From behind, a man with a shaved head raises a pistol, pointing it towards another man, who is older with gray hair, as the older man turns to face him, wearing a gray sweatshirt with "Marines" printed across the front, the scene lit dramatically by the light coming through blinds on the windows behind him.
| You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man holds a gun pointed toward an older man standing in front of a window with blinds. The older man turns to face the gun-holder, wearing a sweatshirt with the word "Marines" across the front. | 3.628629 | 1,920 | 810 | 87 | 1920x810 |
short_scene_001_short_30_Minutes_or_Less_(2011)_-_I'm_Wearing_a_Bomb_Scene_(2_9)_|_Movieclips | 4.904999 | {'frame_00:00.png': 4.884653568267822, 'frame_00:01.png': 4.930290222167969, 'frame_00:02.png': 4.8675923347473145, 'frame_00:03.png': 4.622999668121338, 'frame_00:04.png': 5.219459533691406} | short_30_Minutes_or_Less_(2011)_-_I'm_Wearing_a_Bomb_Scene_(2_9)_|_Movieclips | ../assets/split_scenes/short_30_Minutes_or_Less_(2011)_-_I'm_Wearing_a_Bomb_Scene_(2_9)_|_Movieclips/short_scene_001.mp4 | -0.290855 | 0.272806 | {'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:02.png... | 1 | 1 | 0 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"per... | 0.013866 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 -1 1 -1 1 -1 -1 -1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=gQoU4eEkmus | scene_001 | 1 | 34 | 141 | 00:00:01.418 | 00:00:05.881 | 1.418085 | 5.880881 | 4.462796 | 1.418085 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A man is standing in a hallway with light green walls and a white tiled wall to the right. The man is wearing a plaid shirt, and he has dark hair and dark eyes. A poster of the Declaration of Independence is behind him on the wall to the right. To the left is a bulletin board with colorful papers and a sign that reads ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man stands in a school hallway looking agitated while talking and gesturing with his hands. He appears to be explaining something and looks upset.
| 4.462796 | 1,920 | 810 | 107 | 1920x810 |
short_scene_001_short_30_Minutes_or_Less_(2011)_-_Major_Tan_Scene_(9_9)_|_Movieclips | 4.802872 | {'frame_00:00.png': 4.843432426452637, 'frame_00:01.png': 4.8904805183410645, 'frame_00:02.png': 4.639766216278076, 'frame_00:03.png': 4.852581977844238, 'frame_00:04.png': 4.788096904754639} | short_30_Minutes_or_Less_(2011)_-_Major_Tan_Scene_(9_9)_|_Movieclips | ../assets/split_scenes/short_30_Minutes_or_Less_(2011)_-_Major_Tan_Scene_(9_9)_|_Movieclips/short_scene_001.mp4 | -0.386787 | 1.38995 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'... | 1.8 | 1 | 0 | {"0": {"raw_counts": {"person": 1, "tennis racket": 1, "total": 2}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 2}}, "1": {"raw_counts": {"person": 1, "chair": 1, "total": 2}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total"... | 0.041538 | [-1 1 1 1 -1 1 1 -1 -1 1 1 1 1 -1 1 -1 1 1 1 -1 -1 1 1 1
1 1] | https://youtube.com/watch?v=ky98ri9AcsU | scene_001 | 1 | 149 | 269 | 00:00:06.215 | 00:00:11.220 | 6.214548 | 11.219553 | 5.005005 | 6.214548 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A person is centered in the frame, wearing a light-colored, striped shirt with embroidered designs. The individual has dark hair and a goatee. The background includes a dark screen covered with a camouflage net on the left and leafy green plants on the right. A woven chair is partially visible on the lower left side of... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man stands in front of a black backdrop with camouflage netting and foliage, wearing a gold-embroidered shirt. He addresses the camera with a serious expression, as text appears onscreen. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_30_Minutes_or_Less_(2011)_-_Rooftop_Confession_Scene_(4_9)_|_Movieclips | 4.618946 | {'frame_00:00.png': 4.659493923187256, 'frame_00:01.png': 4.578398704528809} | short_30_Minutes_or_Less_(2011)_-_Rooftop_Confession_Scene_(4_9)_|_Movieclips | ../assets/split_scenes/short_30_Minutes_or_Less_(2011)_-_Rooftop_Confession_Scene_(4_9)_|_Movieclips/short_scene_001.mp4 | 0.514862 | 0.538288 | {'frame_00:00.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Warm'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Left heavy'}]} | 1.5 | 1.5 | 0 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}} | -0.006883 | [-1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 1 1 -1 -1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=9JkoWs_LIcY | scene_001 | 1 | 38 | 86 | 00:00:01.585 | 00:00:03.587 | 1.584918 | 3.58692 | 2.002002 | 1.584918 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A person wearing jeans and a green jacket runs towards the entrance of a brick building, ascending a set of concrete steps to reach the double doors, which feature glass panels and a symbol near the top. The building's facade includes brick columns and a wooden railing, adding architectural detail to the scene. The ind... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A person in a green jacket and blue jeans runs up the steps of a brick building. The person enters the building. | 2.002002 | 1,920 | 774 | 48 | 1920x774 |
short_scene_001_short_30_Minutes_or_Less_(2011)_-_The_Bank_Robbery_Scene_(5_9)_|_Movieclips | 4.651766 | {'frame_00:00.png': 4.50413703918457, 'frame_00:01.png': 4.657667636871338, 'frame_00:02.png': 4.793493270874023} | short_30_Minutes_or_Less_(2011)_-_The_Bank_Robbery_Scene_(5_9)_|_Movieclips | ../assets/split_scenes/short_30_Minutes_or_Less_(2011)_-_The_Bank_Robbery_Scene_(5_9)_|_Movieclips/short_scene_001.mp4 | -1.763179 | 1.117564 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>... | 5.333333 | 3 | 0 | {"0": {"raw_counts": {"person": 3, "chair": 1, "total": 4}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 4}}, "1": {"raw_counts": {"person": 3, "chair": 3, "total": 6}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 0, "food": 0, "others": 3, "total": 6}}, "... | -0.016226 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=v_y3mxio87k | scene_001 | 1 | 104 | 157 | 00:00:04.338 | 00:00:06.548 | 4.337671 | 6.548215 | 2.210544 | 4.337671 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Two masked figures burst through a set of glass doors, brandishing handguns towards a uniformed security guard who raises his hands in surrender. The first figure, clad in a green jacket, holds a pistol aloft while the second, wearing a plaid shirt, points his weapon directly forward. A metal detector frame flanks each... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two masked robbers burst into a building with guns drawn, confronting a security guard with his hands up. The scene unfolds with tension as the robbers advance.
| 2.210544 | 1,920 | 790 | 53 | 1920x790 |
short_scene_001_short_30_Minutes_or_Less_(2011)_-_The_Bomb_Explodes_Scene_(8_9)_|_Movieclips | 5.001875 | {'frame_00:00.png': 4.939821243286133, 'frame_00:01.png': 5.1100687980651855, 'frame_00:02.png': 5.062098503112793, 'frame_00:03.png': 4.895512104034424} | short_30_Minutes_or_Less_(2011)_-_The_Bomb_Explodes_Scene_(8_9)_|_Movieclips | ../assets/split_scenes/short_30_Minutes_or_Less_(2011)_-_The_Bomb_Explodes_Scene_(8_9)_|_Movieclips/short_scene_001.mp4 | 0.088016 | 0.207707 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Underlight'}, {'<LIGHTING_TYPE>': 'Moonlight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight,... | 3 | 3 | 0 | {"0": {"raw_counts": {"person": 3, "total": 3}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 3}}, "1": {"raw_counts": {"person": 3, "total": 3}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 3}}, "2": {"raw_counts": {"per... | 0.010046 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=KqEyt8szupg | scene_001 | 1 | 46 | 133 | 00:00:01.919 | 00:00:05.547 | 1.918585 | 5.547214 | 3.628629 | 1.918585 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A group of three individuals is positioned inside a car, with the driver focused on the road and the other two passengers displaying expressions of concern or alarm. The driver, on the right, has short hair and wears a red shirt, gripping the steering wheel. The middle passenger, a woman, wears a gray cardigan over a w... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Three passengers sit inside a car, appearing worried as the driver looks ahead. Raindrops hit the windshield as the trio share concerned glances amidst a suspenseful atmosphere.
| 3.628629 | 1,920 | 810 | 87 | 1920x810 |
short_scene_001_short_47_Ronin_(2013)_-_Rescuing_The_Ronin_Scene_(5_10)_|_Movieclips | 5.171408 | {'frame_00:00.png': 4.9762654304504395, 'frame_00:01.png': 5.326600074768066, 'frame_00:02.png': 5.275981426239014, 'frame_00:03.png': 5.195792198181152, 'frame_00:04.png': 5.199156284332275, 'frame_00:05.png': 5.054654121398926} | short_47_Ronin_(2013)_-_Rescuing_The_Ronin_Scene_(5_10)_|_Movieclips | ../assets/split_scenes/short_47_Ronin_(2013)_-_Rescuing_The_Ronin_Scene_(5_10)_|_Movieclips/short_scene_001.mp4 | 0.712573 | 1.525434 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Ove... | 0.833333 | 0.833333 | 0 | {"0": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "1": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "2": {"raw_counts": {"total": 0}, "bucketed_counts"... | -0.028507 | [-1 1 1 -1 -1 1 -1 -1 -1 -1 -1 1 1 -1 1 -1 -1 -1 -1 -1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=LoBAmFanDhY | scene_001 | 1 | 124 | 251 | 00:00:05.172 | 00:00:10.469 | 5.171839 | 10.468802 | 5.296964 | 5.171839 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A quiet, misty village scene unfolds with traditional Japanese architecture, featuring wooden houses with tiled roofs lining a dirt path. Stone lanterns stand atop small piles of rocks, adding to the serene atmosphere. The fog obscures the background, creating a sense of depth and mystery. Two figures, dressed in perio... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A misty, somber village is depicted, with a few dilapidated Japanese-style structures and stone lanterns. Two figures walk through the scene, evoking a sense of historical drama or suspense. | 5.296964 | 1,920 | 810 | 127 | 1920x810 |
short_scene_001_short_54_(10_12)_Movie_CLIP_-_Two_Lives_(1998)_HD | 4.985294 | {'frame_00:00.png': 4.859042167663574, 'frame_00:01.png': 5.076079845428467, 'frame_00:02.png': 5.020760536193848} | short_54_(10_12)_Movie_CLIP_-_Two_Lives_(1998)_HD | ../assets/split_scenes/short_54_(10_12)_Movie_CLIP_-_Two_Lives_(1998)_HD/short_scene_001.mp4 | 0.864556 | 1.327237 | {'frame_00:00.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Red'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light, Firelight'}, {'<COMPOSITION>... | 1.333333 | 1 | 0 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 1, "tie": 1, "total": 2}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 2}}, "2": {"raw_coun... | 0.089922 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 -1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=vzt7Yb_-yiY | scene_001 | 1 | 245 | 298 | 00:00:10.219 | 00:00:12.429 | 10.218552 | 12.429096 | 2.210544 | 10.218552 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A woman is standing indoors, with a fireplace and Christmas stockings in the background. She is holding a cigarette in her right hand and wearing sunglasses, which she lowers with her left hand. As she lowers her sunglasses, she looks directly at the camera with a slight smile. The light from the fireplace reflects in ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman is indoors, holding a cigarette in one hand and adjusting dark sunglasses with the other. She briefly removes the glasses to reveal her face before a fireplace decorated with Christmas stockings.
| 2.210544 | 1,280 | 594 | 53 | 1280x594 |
short_scene_001_short_54_(12_12)_Movie_CLIP_-_Steve's_Welcome_Back_Party_(1998)_HD | 4.166175 | {'frame_00:00.png': 4.108296871185303, 'frame_00:01.png': 3.914400100708008, 'frame_00:02.png': 4.085522651672363, 'frame_00:03.png': 4.289849758148193, 'frame_00:04.png': 4.432807922363281} | short_54_(12_12)_Movie_CLIP_-_Steve's_Welcome_Back_Party_(1998)_HD | ../assets/split_scenes/short_54_(12_12)_Movie_CLIP_-_Steve's_Welcome_Back_Party_(1998)_HD/short_scene_001.mp4 | 0.082688 | 0.19484 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>':... | 3.8 | 3.2 | 0 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"tie": 1, "total": 1}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 1}}, "2": {"raw_counts": {"person... | -0.030901 | [-1 -1 1 -1 -1 1 1 -1 1 1 -1 -1 -1 -1 1 1 1 -1 -1 -1 -1 -1 1 -1
-1 1] | https://youtube.com/watch?v=XTfUTOcdkqY | scene_001 | 1 | 98 | 218 | 00:00:04.087 | 00:00:09.092 | 4.087421 | 9.092426 | 5.005005 | 4.087421 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside a crowded club, a man in a patterned shirt is seen up close, partially obscured, with a woman whose face is also partially visible. The scene then shifts to a man in a light-colored suit with a dark shirt and orange tie, surrounded by people, some dancing, under blue and red lights. The lighting is dramatic, cas... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The scene unfolds in a crowded nightclub, where a couple is seen engaged in an intimate embrace, surrounded by a throng of dancing people and dramatic lighting. A man in a suit is later seen standing by himself as he surveys the crowded room. | 5.005005 | 1,280 | 540 | 120 | 1280x540 |
short_scene_001_short_54_(1_12)_Movie_CLIP_-_Getting_In_(1998)_HD | 4.180382 | {'frame_00:00.png': 4.098363876342773, 'frame_00:01.png': 4.2418951988220215, 'frame_00:02.png': 4.2008867263793945} | short_54_(1_12)_Movie_CLIP_-_Getting_In_(1998)_HD | ../assets/split_scenes/short_54_(1_12)_Movie_CLIP_-_Getting_In_(1998)_HD/short_scene_001.mp4 | 0.499693 | 0.571223 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'B... | 6 | 5.666667 | 0 | {"0": {"raw_counts": {"person": 5, "total": 5}, "bucketed_counts": {"humans": 5, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 5}}, "1": {"raw_counts": {"person": 5, "total": 5}, "bucketed_counts": {"humans": 5, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 5}}, "2": {"raw_counts": {"per... | -0.072325 | [-1 -1 1 1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=GhSSEuAEcm0 | scene_001 | 1 | 231 | 286 | 00:00:09.635 | 00:00:11.929 | 9.634635 | 11.928595 | 2.293961 | 9.634635 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene presents a crowded audience, capturing a range of emotions and expressions. In the foreground, a young woman with short, dark hair and bangs wears a solemn expression, adorned with small, dangling earrings. Adjacent to her, a man in a vibrant, patterned shirt maintains a stoic demeanor. Behind them, a fair-ha... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A crowd of people are watching something with anticipation, some smiling and others looking serious, creating a mixed atmosphere of excitement and tension. The diverse group is tightly packed, suggesting they are at an event or performance.
| 2.293961 | 1,280 | 540 | 55 | 1280x540 |
short_scene_001_short_54_(3_12)_Movie_CLIP_-_New_Bus_Boy_(1998)_HD | 4.726385 | {'frame_00:00.png': 4.707616329193115, 'frame_00:01.png': 4.7946367263793945, 'frame_00:02.png': 4.660542011260986, 'frame_00:03.png': 4.885653495788574, 'frame_00:04.png': 4.583474159240723} | short_54_(3_12)_Movie_CLIP_-_New_Bus_Boy_(1998)_HD | ../assets/split_scenes/short_54_(3_12)_Movie_CLIP_-_New_Bus_Boy_(1998)_HD/short_scene_001.mp4 | 0.338729 | 0.031777 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_... | 3.8 | 2.2 | 0 | {"0": {"raw_counts": {"person": 2, "handbag": 1, "bottle": 1, "total": 4}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 2, "total": 4}}, "1": {"raw_counts": {"person": 2, "handbag": 1, "total": 3}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 1... | 0.012017 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=9I0E9w8Nqfg | scene_001 | 1 | 120 | 240 | 00:00:05.005 | 00:00:10.010 | 5.005005 | 10.01001 | 5.005005 | 5.005005 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Two men are standing indoors. The man on the left is wearing a tan buttoned-up shirt. He has a slight smile and seems to be listening to someone, though his gaze is off-camera to the left. The man on the right is wearing a gray zippered sweatshirt with red accents. He appears to be speaking, with an expression of mild ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two young men stand side by side in an indoor environment, one smiling broadly and the other beginning to smile. The scene is dimly lit with neutral-colored surfaces behind them. | 5.005005 | 1,280 | 540 | 120 | 1280x540 |
short_scene_001_short_54_(5_12)_Movie_CLIP_-_Names_For_the_List_(1998)_HD | 4.278361 | {'frame_00:00.png': 4.31342077255249, 'frame_00:01.png': 4.098690032958984, 'frame_00:02.png': 4.384766101837158, 'frame_00:03.png': 4.432615280151367, 'frame_00:04.png': 4.162313461303711} | short_54_(5_12)_Movie_CLIP_-_Names_For_the_List_(1998)_HD | ../assets/split_scenes/short_54_(5_12)_Movie_CLIP_-_Names_For_the_List_(1998)_HD/short_scene_001.mp4 | 0.621126 | 0.556508 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Cente... | 4.4 | 4 | 0.2 | {"0": {"raw_counts": {"person": 6, "total": 6}, "bucketed_counts": {"humans": 6, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 6}}, "1": {"raw_counts": {"person": 4, "total": 4}, "bucketed_counts": {"humans": 4, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 4}}, "2": {"raw_counts": {"per... | -0.070824 | [-1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=Qxn6aafaNP8 | scene_001 | 1 | 45 | 165 | 00:00:01.877 | 00:00:06.882 | 1.876877 | 6.881882 | 5.005005 | 1.876877 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene is set in a dimly lit, cluttered room, where a man in a light-colored jacket and dark pants is engaged in conversation with another man wearing a red polo shirt. The man in the jacket gestures with his hands as he speaks, while the man in the polo shirt listens intently. In the foreground, the backs of two in... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man in a jacket approaches a group of people gathered in an office space, where the lighting is dim and a man in a red shirt stands nearby. The scene features visible window blinds and various items hanging on the wall, creating a busy, lived-in atmosphere.
| 5.005005 | 1,280 | 540 | 120 | 1280x540 |
short_scene_001_short_54_(6_12)_Movie_CLIP_-_Socialites_(1998)_HD | 4.840182 | {'frame_00:00.png': 5.124741554260254, 'frame_00:01.png': 4.735503196716309, 'frame_00:02.png': 4.803874492645264, 'frame_00:03.png': 4.696609973907471} | short_54_(6_12)_Movie_CLIP_-_Socialites_(1998)_HD | ../assets/split_scenes/short_54_(6_12)_Movie_CLIP_-_Socialites_(1998)_HD/short_scene_001.mp4 | -0.870293 | 2.804864 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}],... | 3.75 | 2.75 | 0 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 3, "car": 1, "total": 4}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 1, "food": 0, "others": 0, "total": 4}}, "2": {"raw_coun... | 0.04859 | [ 1 1 1 1 1 1 1 -1 1 1 1 1 1 -1 1 -1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=Y0FAYOIt-VQ | scene_001 | 1 | 81 | 170 | 00:00:03.378 | 00:00:07.090 | 3.378378 | 7.090424 | 3.712045 | 3.378378 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A fair-skinned woman with curly hair and a patterned black and beige long-sleeved blouse is smiling and conversing with a man whose curly hair is visible on the left side of the shot. The woman is holding a martini glass in her left hand and her right hand is gesturing slightly as she speaks. She is wearing a dark gree... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman with curly hair holds a martini glass and smiles as she converses with another person. The scene takes place near a staircase inside a large, well-lit building.
| 3.712045 | 1,280 | 540 | 89 | 1280x540 |
short_scene_001_short_54_(7_12)_Movie_CLIP_-_Disco_Lessons_(1998)_HD | 4.391016 | {'frame_00:00.png': 4.21326208114624, 'frame_00:01.png': 4.446931838989258, 'frame_00:02.png': 4.628949165344238, 'frame_00:03.png': 4.27492094039917} | short_54_(7_12)_Movie_CLIP_-_Disco_Lessons_(1998)_HD | ../assets/split_scenes/short_54_(7_12)_Movie_CLIP_-_Disco_Lessons_(1998)_HD/short_scene_001.mp4 | -0.43795 | 0.645741 | {'frame_00:00.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Backlight'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:02.png': [{'<C... | 13.5 | 12.25 | 0.25 | {"0": {"raw_counts": {"person": 14, "backpack": 1, "total": 15}, "bucketed_counts": {"humans": 14, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 15}}, "1": {"raw_counts": {"person": 11, "backpack": 1, "total": 12}, "bucketed_counts": {"humans": 11, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "t... | 0.002437 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=uC1Lmk5qK2Q | scene_001 | 1 | 304 | 388 | 00:00:12.679 | 00:00:16.183 | 12.679346 | 16.18285 | 3.503504 | 12.679346 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A group of young people are in a dance class, moving their hips in unison as they follow the instructor, who stands out in a burgundy dress and high heels; the room is spacious with large windows and a mirrored wall, where the group's reflections are visible; some observers sit in the background, adding to the atmosphe... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of people in a dance class practice moving their hips with the instructor in front. The room is bright with sunlight coming through windows. | 3.503504 | 1,280 | 598 | 84 | 1280x598 |
short_scene_001_short_54_(8_12)_Movie_CLIP_-_Jealousy_(1998)_HD | 4.389883 | {'frame_00:00.png': 4.40557336807251, 'frame_00:01.png': 4.59238862991333, 'frame_00:02.png': 4.173776149749756, 'frame_00:03.png': 4.362587928771973, 'frame_00:04.png': 4.507044792175293, 'frame_00:05.png': 4.4117350578308105, 'frame_00:06.png': 4.276073932647705} | short_54_(8_12)_Movie_CLIP_-_Jealousy_(1998)_HD | ../assets/split_scenes/short_54_(8_12)_Movie_CLIP_-_Jealousy_(1998)_HD/short_scene_001.mp4 | -0.194163 | 0.400124 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Green, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {... | 1 | 0.857143 | 0.142857 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"per... | 0.048688 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 -1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=qPfLNjGXa2M | scene_001 | 1 | 218 | 365 | 00:00:09.092 | 00:00:15.224 | 9.092426 | 15.223557 | 6.131131 | 9.092426 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A young man with blonde curly hair sits indoors, wearing a textured sweater. He looks down with a slightly furrowed brow, then looks up and appears to speak, though his words are not heard. His expression is serious and somewhat concerned. In the background, there is a window with a plant and a candle on the windowsill... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A young man with curly blond hair sits indoors, wearing a gray sweater and looking down with a serious expression. The scene is softly lit, with a window and a plant with a candle visible in the background. | 6.131131 | 1,280 | 540 | 147 | 1280x540 |
short_scene_001_short_54_(9_12)_Movie_CLIP_-_The_Clap_(1998)_HD | 4.714025 | {'frame_00:00.png': 4.880380153656006, 'frame_00:01.png': 4.674185276031494, 'frame_00:02.png': 4.7208099365234375, 'frame_00:03.png': 4.84735107421875, 'frame_00:04.png': 4.447397232055664} | short_54_(9_12)_Movie_CLIP_-_The_Clap_(1998)_HD | ../assets/split_scenes/short_54_(9_12)_Movie_CLIP_-_The_Clap_(1998)_HD/short_scene_001.mp4 | 0.15239 | 0.521686 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Blue'}, {'<LIGHTING>': 'Hard light, High contrast, Side light'}, {'<LIGHTING_T... | 1.6 | 1.6 | 0 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"per... | 0.034188 | [-1 1 1 1 -1 1 1 -1 -1 1 1 1 1 1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=qKerIOG7jdI | scene_001 | 1 | 192 | 312 | 00:00:08.008 | 00:00:13.013 | 8.008008 | 13.013013 | 5.005005 | 8.008008 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A woman with short dark hair and a beaded headband is captured in close-up, her expression shifting from slightly open-mouthed to neutral as she turns her head to the side. The scene is dimly lit with a bluish hue, suggesting a nighttime or indoor setting with dramatic lighting. Behind the woman, blurry figures can be ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman with dark hair and a headband appears to be speaking intently to someone. The scene is dimly lit with a blueish hue, setting a serious mood. | 5.005005 | 1,280 | 540 | 120 | 1280x540 |
short_scene_001_short_65_(2023)_-_The_T-Rex_Attack_Scene_|_Movieclips | 3.947967 | {'frame_00:00.png': 4.097958564758301, 'frame_00:01.png': 3.9189348220825195, 'frame_00:02.png': 4.095281600952148, 'frame_00:03.png': 3.679692268371582} | short_65_(2023)_-_The_T-Rex_Attack_Scene_|_Movieclips | ../assets/split_scenes/short_65_(2023)_-_The_T-Rex_Attack_Scene_|_Movieclips/short_scene_001.mp4 | 0.00004 | 0.296173 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Moonlight'}, {'<COMPOSITIO... | 0 | 0 | 0 | {"0": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "1": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "2": {"raw_counts": {"total": 0}, "bucketed_counts"... | -0.138527 | [-1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 -1 -1 -1 -1 -1 -1 -1
-1 -1] | https://youtube.com/watch?v=zisjsD7xQ94 | scene_001 | 1 | 161 | 246 | 00:00:06.715 | 00:00:10.260 | 6.715048 | 10.26026 | 3.545212 | 6.715048 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Amidst the dim lighting, a colossal dinosaur head emerges, its features obscured by shadow but its rough texture visible. The creature's head occupies a large portion of the frame, contrasting with a metallic structure on the left, marked by a faint red light. As the scene progresses, the dinosaur's head moves, reveali... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A large dinosaur thrashes in darkness next to a structure with a red light. The creature's features are obscured by the shadows, adding to the suspenseful mood. | 3.545212 | 1,920 | 810 | 85 | 1920x810 |
short_scene_001_short_80_for_Brady_(2023)_-_Bodice-Ripper_Writer_Scene_|_Movieclips | 5.308752 | {'frame_00:00.png': 4.532594680786133, 'frame_00:01.png': 5.2031779289245605, 'frame_00:02.png': 5.6543707847595215, 'frame_00:03.png': 5.3651123046875, 'frame_00:04.png': 5.612353324890137, 'frame_00:05.png': 5.484905242919922} | short_80_for_Brady_(2023)_-_Bodice-Ripper_Writer_Scene_|_Movieclips | ../assets/split_scenes/short_80_for_Brady_(2023)_-_Bodice-Ripper_Writer_Scene_|_Movieclips/short_scene_001.mp4 | 0.026014 | 0.232872 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial li... | 4.5 | 4.5 | 0 | {"0": {"raw_counts": {"person": 7, "total": 7}, "bucketed_counts": {"humans": 7, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 7}}, "1": {"raw_counts": {"person": 3, "total": 3}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 3}}, "2": {"raw_counts": {"per... | 0.095734 | [ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 1 1 1 1 1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=nGkh-vVbL8I | scene_001 | 1 | 526 | 658 | 00:00:21.939 | 00:00:27.444 | 21.938605 | 27.444111 | 5.505506 | 21.938605 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds within an indoor setting, likely a locker room, where a fair-skinned man with neatly combed grey hair and a light green jacket is engaged in conversation, his expression shifting between smiling and speaking intently. The camera focuses on him as he speaks, capturing his gestures and facial expression... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | In an indoor setting, a man in a light jacket is clapping and engaged in conversation with another person while surrounded by others. The scene conveys a sense of camaraderie, with a team logo and sports equipment visible in the background.
| 5.505506 | 1,920 | 810 | 132 | 1920x810 |
short_scene_001_short_80_for_Brady_(2023)_-_Charity_Poker_Game_Scene_|_Movieclips | 4.707856 | {'frame_00:00.png': 4.70770263671875, 'frame_00:01.png': 4.929514408111572, 'frame_00:02.png': 4.625049114227295, 'frame_00:03.png': 4.650937080383301, 'frame_00:04.png': 4.626076698303223} | short_80_for_Brady_(2023)_-_Charity_Poker_Game_Scene_|_Movieclips | ../assets/split_scenes/short_80_for_Brady_(2023)_-_Charity_Poker_Game_Scene_|_Movieclips/short_scene_001.mp4 | 0.12607 | 0.145578 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>... | 5.8 | 5.4 | 0 | {"0": {"raw_counts": {"person": 7, "tie": 1, "total": 8}, "bucketed_counts": {"humans": 7, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 8}}, "1": {"raw_counts": {"person": 6, "total": 6}, "bucketed_counts": {"humans": 6, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 6}}, "2": {"raw_coun... | 0.006417 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=iazuONx-0d4 | scene_001 | 1 | 145 | 265 | 00:00:06.048 | 00:00:11.053 | 6.047714 | 11.052719 | 5.005005 | 6.047714 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | At a party, a person with light grey hair and wearing a dark, sparkling outfit walks through a crowded hallway. People in cocktail attire hold drinks and talk amongst themselves. Some people stand in the background while others are closer to the camera. A person in a black suit and red shirt looks at their phone. Artwo... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of people is gathered in a hallway, seemingly at a party; a woman in a dark, sparkling outfit walks past them toward a doorway. The atmosphere is lively and social as people mingle and converse. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_80_for_Brady_(2023)_-_Discovering_Tom_Brady_Scene_|_Movieclips | 4.580057 | {'frame_00:00.png': 4.928205490112305, 'frame_00:01.png': 5.073885440826416, 'frame_00:02.png': 4.9183783531188965, 'frame_00:03.png': 3.591834545135498, 'frame_00:04.png': 4.387982368469238} | short_80_for_Brady_(2023)_-_Discovering_Tom_Brady_Scene_|_Movieclips | ../assets/split_scenes/short_80_for_Brady_(2023)_-_Discovering_Tom_Brady_Scene_|_Movieclips/short_scene_001.mp4 | 0.367052 | 0.699642 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}],... | 1.6 | 1.4 | 0 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"per... | -0.039656 | [-1 -1 1 1 -1 -1 1 -1 -1 -1 1 1 1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1
1 1] | https://youtube.com/watch?v=Ax-nM3rA08Q | scene_001 | 1 | 269 | 389 | 00:00:11.220 | 00:00:16.225 | 11.219553 | 16.224558 | 5.005005 | 11.219553 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene opens with a close-up of an elderly person's hands holding a notepad and a pen. The person is writing something on the notepad, and the words "I didn't know much about football" are visible. The camera zooms out slightly, revealing more of the person's hands and the notepad. The background is blurred, but it ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | An elderly woman is captured in close-up, sitting and writing in a notebook. The camera pulls back to reveal that she is sitting in a chair with a blanket. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_80_for_Brady_(2023)_-_Doing_Drugs_(on_Accident)_Scene_|_Movieclips | 5.242221 | {'frame_00:00.png': 5.189666748046875, 'frame_00:01.png': 5.140263080596924, 'frame_00:02.png': 5.412021636962891, 'frame_00:03.png': 5.386911392211914, 'frame_00:04.png': 5.228942394256592, 'frame_00:05.png': 5.199053764343262, 'frame_00:06.png': 5.138687610626221} | short_80_for_Brady_(2023)_-_Doing_Drugs_(on_Accident)_Scene_|_Movieclips | ../assets/split_scenes/short_80_for_Brady_(2023)_-_Doing_Drugs_(on_Accident)_Scene_|_Movieclips/short_scene_001.mp4 | 0.148449 | 0.941695 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, ... | 7.571429 | 7.571429 | 0 | {"0": {"raw_counts": {"person": 5, "total": 5}, "bucketed_counts": {"humans": 5, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 5}}, "1": {"raw_counts": {"person": 10, "total": 10}, "bucketed_counts": {"humans": 10, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 10}}, "2": {"raw_counts": {... | 0.059055 | [ 1 1 1 1 1 1 1 1 1 1 1 1 1 -1 1 -1 1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=VeWv_QAxpcg | scene_001 | 1 | 135 | 299 | 00:00:05.631 | 00:00:12.471 | 5.630631 | 12.470804 | 6.840174 | 5.630631 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds in a grand, wood-paneled hall filled with people dressed in formal attire, suggesting a sophisticated gathering. The foreground is framed by lush green plants, creating a sense of depth and enclosure. A woman in a light gray suit stands prominently in the center, engaging with others and holding a cha... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Attendees are socializing at a formal event inside a grand hall. The well-dressed people mingle amidst lush greenery, creating an upscale and convivial atmosphere.
| 6.840174 | 1,920 | 810 | 164 | 1920x810 |
short_scene_001_short_80_for_Brady_(2023)_-_Fake_Superbowl_Tickets_Scene_|_Movieclips | 4.915114 | {'frame_00:00.png': 4.856906890869141, 'frame_00:01.png': 5.081393241882324, 'frame_00:02.png': 4.937211990356445, 'frame_00:03.png': 4.837591171264648, 'frame_00:04.png': 4.862467288970947} | short_80_for_Brady_(2023)_-_Fake_Superbowl_Tickets_Scene_|_Movieclips | ../assets/split_scenes/short_80_for_Brady_(2023)_-_Fake_Superbowl_Tickets_Scene_|_Movieclips/short_scene_001.mp4 | 2.72483 | 1.786484 | {'frame_00:00.png': [{'<COLOR>': 'Red, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light, Fluorescent'}, {'<COMPOSI... | 10.8 | 10 | 0 | {"0": {"raw_counts": {"person": 11, "cell phone": 1, "total": 12}, "bucketed_counts": {"humans": 11, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 12}}, "1": {"raw_counts": {"person": 10, "total": 10}, "bucketed_counts": {"humans": 10, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 10}}, ... | 0.036502 | [-1 1 1 1 1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 1 1 -1 -1 1 1 1
1 1] | https://youtube.com/watch?v=klS-cV4rvNQ | scene_001 | 1 | 74 | 194 | 00:00:03.086 | 00:00:08.091 | 3.08642 | 8.091425 | 5.005005 | 3.08642 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | People are entering a stadium, going through security. There are turnstiles where staff in blue shirts are scanning tickets. Security guards in black and white shirts are monitoring the crowd, some with metal detectors and radios. Many people are wearing team jerseys and carrying bags. The background shows a large ba... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Fans are going through security at an NFL game, including an elderly woman wearing a football jersey and sweatpants. The spectators are entering through turnstiles and metal detectors while security guards supervise. | 5.005005 | 1,920 | 806 | 120 | 1920x806 |
short_scene_001_short_80_for_Brady_(2023)_-_Inspiring_Tom_Brady_Scene_|_Movieclips | 5.012326 | {'frame_00:00.png': 4.714048862457275, 'frame_00:01.png': 5.172157287597656, 'frame_00:02.png': 5.150773048400879} | short_80_for_Brady_(2023)_-_Inspiring_Tom_Brady_Scene_|_Movieclips | ../assets/split_scenes/short_80_for_Brady_(2023)_-_Inspiring_Tom_Brady_Scene_|_Movieclips/short_scene_001.mp4 | -0.122346 | 0.237199 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Cent... | 2.333333 | 2 | 0 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"per... | 0.015534 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 -1 1 1 -1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=p2ud5hQ2ssE | scene_001 | 1 | 120 | 171 | 00:00:05.005 | 00:00:07.132 | 5.005005 | 7.132132 | 2.127127 | 5.005005 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | An eye-level shot shows several individuals in a dimly lit room, likely a command center or control booth. A central figure with short, curly gray hair, wearing a dark-colored sports jersey adorned with the number "12" in glittering silver, is framed by two others wearing headsets. The central person also has a matchin... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | People are seen in a booth wearing headsets and sporting a team jersey. The atmosphere suggests a tense or high-stakes setting, such as a sports event or competition.
| 2.127127 | 1,920 | 810 | 51 | 1920x810 |
short_scene_001_short_80_for_Brady_(2023)_-_Meeting_Tom_Brady_Scene_|_Movieclips | 5.043429 | {'frame_00:00.png': 4.645602703094482, 'frame_00:01.png': 4.932485103607178, 'frame_00:02.png': 4.770158767700195, 'frame_00:03.png': 5.4033026695251465, 'frame_00:04.png': 5.465598106384277} | short_80_for_Brady_(2023)_-_Meeting_Tom_Brady_Scene_|_Movieclips | ../assets/split_scenes/short_80_for_Brady_(2023)_-_Meeting_Tom_Brady_Scene_|_Movieclips/short_scene_001.mp4 | -0.607779 | 0.314889 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Ba... | 4.6 | 3.8 | 0 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 4, "bottle": 1, "cup": 1, "total": 6}, "bucketed_counts": {"humans": 4, "animals": 0, "vehicles": 0, "food": 0, "others": 2, "total": 6}}, "2... | 0.023974 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 1 1 -1 -1 1 1 1
1 1] | https://youtube.com/watch?v=bkd3RW1iSuU | scene_001 | 1 | 88 | 208 | 00:00:03.670 | 00:00:08.675 | 3.670337 | 8.675342 | 5.005005 | 3.670337 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | In a locker room setting, a figure in a sparkling jersey that reads "80 FOR BRADY" on the back approaches a man wearing a gray t-shirt with a Patriots logo. A smiling man in a similar gray shirt is visible in the background. The man in the t-shirt warmly greets the person in the jersey with a hug. Lockers with football... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | In an indoor locker room scene, a person in a jersey walks to a man and embraces him, with other figures looking on. The atmosphere seems warm and supportive.
| 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_80_for_Brady_(2023)_-_The_Tom_Brady_Support_Group_Scene_|_Movieclips | 4.712677 | {'frame_00:00.png': 4.543457508087158, 'frame_00:01.png': 4.73214054107666, 'frame_00:02.png': 4.649622917175293, 'frame_00:03.png': 4.869162082672119, 'frame_00:04.png': 4.7690043449401855} | short_80_for_Brady_(2023)_-_The_Tom_Brady_Support_Group_Scene_|_Movieclips | ../assets/split_scenes/short_80_for_Brady_(2023)_-_The_Tom_Brady_Support_Group_Scene_|_Movieclips/short_scene_001.mp4 | 0.100031 | 0.037399 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light, Fluorescent'}, {'<COMPOSITION>': 'Balanced, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Saturated, Cyan, Blue'}, {'<LIGHTING>': 'Soft lig... | 2.8 | 2 | 0 | {"0": {"raw_counts": {"person": 2, "cup": 2, "total": 4}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 2, "total": 4}}, "1": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "2": {"raw_coun... | 0.120642 | [ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 1
1 1] | https://youtube.com/watch?v=LMaGW5vyASU | scene_001 | 1 | 68 | 188 | 00:00:02.836 | 00:00:07.841 | 2.83617 | 7.841175 | 5.005005 | 2.83617 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Two people are seated behind a desk, engaging in a discussion against the backdrop of a "Pats Nation" banner. The individual on the left wears a dark sweatshirt and baseball cap, listening intently with a slight frown, while the person on the right, dressed in a jacket, glasses, and a cap, gestures emphatically with op... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two men are sitting at a table surrounded by sports memorabilia, appearing to engage in an animated discussion. The atmosphere is energetic and informal, set against a backdrop of team branding and display shelves.
| 5.005005 | 1,920 | 882 | 120 | 1920x882 |
short_scene_001_short_80_for_Brady_(2023)_-_They're_My_Dancers!_Scene_|_Movieclips | 5.342657 | {'frame_00:00.png': 5.16606330871582, 'frame_00:01.png': 5.49519157409668, 'frame_00:02.png': 5.383701324462891, 'frame_00:03.png': 5.249217510223389, 'frame_00:04.png': 5.419110298156738} | short_80_for_Brady_(2023)_-_They're_My_Dancers!_Scene_|_Movieclips | ../assets/split_scenes/short_80_for_Brady_(2023)_-_They're_My_Dancers!_Scene_|_Movieclips/short_scene_001.mp4 | 0.869177 | 1.16304 | {'frame_00:00.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Saturated, Red'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left... | 1.8 | 1.2 | 0.4 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"per... | 0.080473 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 -1 1 1 1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=kMBbmNhOPao | scene_001 | 1 | 119 | 239 | 00:00:04.963 | 00:00:09.968 | 4.963297 | 9.968302 | 5.005005 | 4.963297 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene captures two older women engaged in an intimate conversation at what appears to be a lively outdoor event. The woman on the left is adorned with voluminous blonde hair styled in curls and wearing a navy blue and silver sequined jacket. She gazes with a gentle expression towards the woman on the right. Her com... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two older women with fair skin are talking closely to one another while dressed in patriotic-themed clothing. The woman with blond hair is gazing at the other woman as she speaks.
| 5.005005 | 1,920 | 882 | 120 | 1920x882 |
short_scene_001_short_8_Mile_(2002)_-_Greg's_Outta_Here_Scene_(7_10)_|_Movieclips | 4.937129 | {'frame_00:00.png': 5.03442907333374, 'frame_00:01.png': 4.935144424438477, 'frame_00:02.png': 4.901626110076904, 'frame_00:03.png': 4.880531311035156, 'frame_00:04.png': 4.881216049194336, 'frame_00:05.png': 5.055622100830078, 'frame_00:06.png': 4.871331691741943} | short_8_Mile_(2002)_-_Greg's_Outta_Here_Scene_(7_10)_|_Movieclips | ../assets/split_scenes/short_8_Mile_(2002)_-_Greg's_Outta_Here_Scene_(7_10)_|_Movieclips/short_scene_001.mp4 | -0.239835 | 0.102619 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight, Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Art... | 1.142857 | 1 | 0 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 1, "bus": 1, "total": 2}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 1, "food": 0, "others": 0, "total": 2}}, "2": {"raw_coun... | 0.072037 | [ 1 1 1 1 1 1 1 -1 -1 1 1 1 1 1 1 -1 -1 1 1 1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=0ShWGyC408I | scene_001 | 1 | 107 | 261 | 00:00:04.463 | 00:00:10.886 | 4.462796 | 10.885886 | 6.42309 | 4.462796 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A person is featured in the video's close-up shot inside an interior setting with wood paneling. The person, who has short brown hair, turns to look directly at the camera with a slight smile. The individual then brings a dark-colored cup to their lips and takes a sip, all while maintaining eye contact and a small smir... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man with dark hair drinks from a cup, turns, and smirks at the camera while inside a wood-paneled house. The interior scene is lit by an ornate, old-fashioned lamp.
| 6.42309 | 1,280 | 540 | 154 | 1280x540 |
short_scene_001_short_8_Mile_(2002)_-_Rabbit_Battles_Papa_Doc_Scene_(10_10)_|_Movieclips | 4.953808 | {'frame_00:00.png': 4.939662933349609, 'frame_00:01.png': 5.154171943664551, 'frame_00:02.png': 5.199042797088623, 'frame_00:03.png': 5.059637546539307, 'frame_00:04.png': 4.4165263175964355} | short_8_Mile_(2002)_-_Rabbit_Battles_Papa_Doc_Scene_(10_10)_|_Movieclips | ../assets/split_scenes/short_8_Mile_(2002)_-_Rabbit_Battles_Papa_Doc_Scene_(10_10)_|_Movieclips/short_scene_001.mp4 | 0.745531 | 1.236873 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Saturated'}, {'<LIGHTING>': 'Hard light, High contrast, Top light'}, {'<LIGHTING_TYPE>': 'Artificia... | 4.4 | 3.4 | 0.8 | {"0": {"raw_counts": {"person": 3, "total": 3}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 3}}, "1": {"raw_counts": {"person": 4, "cow": 1, "dog": 1, "total": 6}, "bucketed_counts": {"humans": 4, "animals": 2, "vehicles": 0, "food": 0, "others": 0, "total": 6}}, "2": ... | -0.009479 | [-1 1 1 1 -1 1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=F2hiFbuQ-Qw | scene_001 | 1 | 184 | 304 | 00:00:07.674 | 00:00:12.679 | 7.674341 | 12.679346 | 5.005005 | 7.674341 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene presents a tense face-off between two men, illuminated with dramatic lighting that emphasizes the tension. A third man stands between them, holding a microphone, seemingly ready to announce or mediate. The man on the left shows signs of a recent fight, with a visible bruise around his eye. All three men are c... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two men face each other with stern expressions, while a third man stands between them holding a microphone, setting a tense atmosphere. The lighting enhances the drama of the confrontation as the men engage in a face-off.
| 5.005005 | 1,280 | 540 | 120 | 1280x540 |
short_scene_001_short_8_Mile_(2002)_-_The_Lunch_Truck_Scene_(6_10)_|_Movieclips | 4.380534 | {'frame_00:00.png': 4.331303119659424, 'frame_00:01.png': 3.8675198554992676, 'frame_00:02.png': 3.979708671569824, 'frame_00:03.png': 4.011867046356201, 'frame_00:04.png': 4.536562919616699, 'frame_00:05.png': 4.90809440612793, 'frame_00:06.png': 5.028684139251709} | short_8_Mile_(2002)_-_The_Lunch_Truck_Scene_(6_10)_|_Movieclips | ../assets/split_scenes/short_8_Mile_(2002)_-_The_Lunch_Truck_Scene_(6_10)_|_Movieclips/short_scene_001.mp4 | 0.53643 | 1.572534 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcast'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Daylight, Overcas... | 4.714286 | 4.285714 | 0.428571 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 3, "cow": 1, "total": 4}, "bucketed_counts": {"humans": 3, "animals": 1, "vehicles": 0, "food": 0, "others": 0, "total": 4}}, "2": {"raw_coun... | -0.03183 | [-1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 1 1 -1 1 -1 -1 -1 -1 -1
1 1] | https://youtube.com/watch?v=KQOWuUy-7qE | scene_001 | 1 | 94 | 255 | 00:00:03.921 | 00:00:10.636 | 3.920587 | 10.635636 | 6.715048 | 3.920587 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The camera begins inside a food truck, focusing on the stacked shelves of food containers and food products. As the camera moves away from the truck it reveals the side of a black jacket of a person who appears to be handing out food to a crowd that is gathered on the street outside the truck. The camera shifts to the ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A group of people stand in a desolate urban setting, with one individual in the foreground wearing a blue bandana and glasses speaking, while others stand around smoking and holding containers. The scene is marked by a sense of somberness and urban decay. | 6.715048 | 1,280 | 540 | 161 | 1280x540 |
short_scene_001_short_8_Mile_(2002)_-_We're_Being_Evicted_Scene_(4_10)_|_Movieclips | 4.591122 | {'frame_00:00.png': 4.661941051483154, 'frame_00:01.png': 4.611052513122559, 'frame_00:02.png': 4.500371932983398} | short_8_Mile_(2002)_-_We're_Being_Evicted_Scene_(4_10)_|_Movieclips | ../assets/split_scenes/short_8_Mile_(2002)_-_We're_Being_Evicted_Scene_(4_10)_|_Movieclips/short_scene_001.mp4 | -1.969868 | 0.57484 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Center'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, ... | 2 | 1 | 0 | {"0": {"raw_counts": {"person": 1, "tv": 1, "total": 2}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 2}}, "1": {"raw_counts": {"tv": 1, "person": 1, "total": 2}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 2}}, "2": {"... | -0.054044 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 1 1 -1 1 -1 -1 -1 -1 -1 -1 1 1 -1
-1 -1] | https://youtube.com/watch?v=8bY4qPadkSo | scene_001 | 1 | 153 | 215 | 00:00:06.381 | 00:00:08.967 | 6.381381 | 8.967301 | 2.585919 | 6.381381 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene features a vintage television set displaying an animated character resembling a woodpecker. The character is seated in a blue armchair and engrossed in reading a book. The television is situated within a room setting, partially visible are a window with blinds and a person in the background wearing a gray, te... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | An old TV screen displays an animated character sitting in a chair and reading a book while a person in a sweater walks around in the background. The scene has a vintage and nostalgic feel. | 2.585919 | 1,280 | 540 | 62 | 1280x540 |
short_scene_001_short_8_Mile_(2002)_-_Wink's_Big_Deal_Scene_(2_10)_|_Movieclips | 4.633103 | {'frame_00:00.png': 4.553243160247803, 'frame_00:01.png': 4.859813690185547, 'frame_00:02.png': 4.511959075927734, 'frame_00:03.png': 4.607394218444824} | short_8_Mile_(2002)_-_Wink's_Big_Deal_Scene_(2_10)_|_Movieclips | ../assets/split_scenes/short_8_Mile_(2002)_-_Wink's_Big_Deal_Scene_(2_10)_|_Movieclips/short_scene_001.mp4 | 0.776984 | 1.054142 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial li... | 2 | 1 | 0 | {"0": {"raw_counts": {"person": 1, "chair": 1, "total": 2}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 2}}, "1": {"raw_counts": {"person": 1, "chair": 2, "total": 3}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 2, "total": 3}}, "... | 0.034501 | [-1 1 1 1 1 1 1 -1 -1 1 1 1 1 -1 1 -1 -1 1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=LRPEYUlE8rU | scene_001 | 1 | 52 | 129 | 00:00:02.169 | 00:00:05.380 | 2.168836 | 5.38038 | 3.211545 | 2.168836 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A blonde woman stands at a table and sits down. The scene reveals a room that is dimly lit by an overhead lamp and a lamp in the background. The woman sits at the table with her hands on the table surface as she looks ahead. She continues to look ahead and puts her hand on her chin as the camera zooms in to capture mor... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A woman sits at a table under a lamp, looking towards the camera, with what appears to be a radio and other items on the table. She appears to be in a dimly lit room.
| 3.211545 | 1,280 | 522 | 77 | 1280x522 |
short_scene_001_short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Daniel_the_Tiger_Scene_(3_10)_|_Movieclips | 5.286742 | {'frame_00:00.png': 5.397832870483398, 'frame_00:01.png': 5.154707908630371, 'frame_00:02.png': 5.214561462402344, 'frame_00:03.png': 5.378459453582764, 'frame_00:04.png': 5.28814697265625} | short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Daniel_the_Tiger_Scene_(3_10)_|_Movieclips | ../assets/split_scenes/short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Daniel_the_Tiger_Scene_(3_10)_|_Movieclips/short_scene_001.mp4 | 0.020481 | 0.338845 | {'frame_00:00.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Cool, Desaturated, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {... | 3.4 | 2 | 0 | {"0": {"raw_counts": {"person": 2, "tie": 1, "total": 3}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 3}}, "1": {"raw_counts": {"person": 2, "tie": 2, "total": 4}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 2, "total": 4}}, "2": ... | 0.021503 | [-1 1 1 -1 -1 1 1 -1 -1 1 1 1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=3TKEZqYpx0I | scene_001 | 1 | 121 | 241 | 00:00:05.047 | 00:00:10.052 | 5.046713 | 10.051718 | 5.005005 | 5.046713 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Two men stand side-by-side within a room bathed in a cool, muted light, creating a somber atmosphere, the man on the left is clad in a gray blazer over a dark turtleneck, his gaze directed to the side, while the man on the right is dressed in a dark suit with a tie and a badge prominently displayed, his expression seri... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | Two men in suits stand in a dimly lit room, examining something with serious expressions. The atmosphere is tense and mysterious, with a hint of intrigue.
| 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_I_Always_Loved_You_Scene_(8_10)_|_Movieclips | 5.27607 | {'frame_00:00.png': 5.581935882568359, 'frame_00:01.png': 5.259428024291992, 'frame_00:02.png': 5.180625915527344, 'frame_00:03.png': 5.358328342437744, 'frame_00:04.png': 5.000031471252441} | short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_I_Always_Loved_You_Scene_(8_10)_|_Movieclips | ../assets/split_scenes/short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_I_Always_Loved_You_Scene_(8_10)_|_Movieclips/short_scene_001.mp4 | -0.017147 | 0.716721 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Top light, Side light'}, {'<LIGHTING_TYPE>': 'Artifi... | 2.8 | 2 | 0.2 | {"0": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "1": {"raw_counts": {"person": 3, "total": 3}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 3}}, "2": {"raw_counts": {"per... | -0.011957 | [-1 1 1 -1 -1 1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=QZS_mcnK7mU | scene_001 | 1 | 205 | 325 | 00:00:08.550 | 00:00:13.555 | 8.550217 | 13.555222 | 5.005005 | 8.550217 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene unfolds in a dimly lit room, where a man, partially obscured, is seen holding a glass. His expression is thoughtful, perhaps melancholic, as he gazes into the liquid. A woman with dark hair stands to his left, partially out of focus, contributing to the intimate atmosphere. The lighting is dramatic, casting s... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man sits with a drink in a dimly lit room while looking at old photos, while another person sits out of focus on the left. The scene is somber and contemplative. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_I_Don't_Think_You_Are_Broken_Scene_(7_10)_|_Movieclips | 5.485022 | {'frame_00:00.png': 5.759366512298584, 'frame_00:01.png': 5.480535507202148, 'frame_00:02.png': 5.4119873046875, 'frame_00:03.png': 5.175022125244141, 'frame_00:04.png': 5.598198890686035} | short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_I_Don't_Think_You_Are_Broken_Scene_(7_10)_|_Movieclips | ../assets/split_scenes/short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_I_Don't_Think_You_Are_Broken_Scene_(7_10)_|_Movieclips/short_scene_001.mp4 | -0.03035 | 0.83276 | {'frame_00:00.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Cyan, Blue'}, {'<LIGHTING>': 'Soft light, Side light, Edge light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>': 'Left heavy... | 3.6 | 3.6 | 0 | {"0": {"raw_counts": {"person": 4, "total": 4}, "bucketed_counts": {"humans": 4, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 4}}, "1": {"raw_counts": {"person": 4, "total": 4}, "bucketed_counts": {"humans": 4, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 4}}, "2": {"raw_counts": {"per... | 0.094563 | [ 1 1 1 1 1 1 1 -1 1 1 1 1 1 1 1 -1 1 1 1 1 -1 1 1 -1
1 1] | https://youtube.com/watch?v=9AzXX_2BrVk | scene_001 | 1 | 321 | 436 | 00:00:13.388 | 00:00:18.185 | 13.388388 | 18.184852 | 4.796463 | 13.388388 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | Inside a cafe, a man with dark hair sits across from another man, a patterned booth seat behind him, as a woman in a white top and jeans walks by outside the window. The first man looks at the other as he speaks, a slight smile on his face. Another person sits in the background at the left side of the frame, partially ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man is sitting inside a restaurant while engaged in conversation with another individual, the scene is observed through the window with people walking by outside. The moment is captured with a sense of intimacy.
| 4.796463 | 1,920 | 810 | 115 | 1920x810 |
short_scene_001_short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Mr__Rogers_Comes_to_Visit_Scene_(9_10)_|_Movieclips | 4.603122 | {'frame_00:00.png': 4.515364646911621, 'frame_00:01.png': 4.523961544036865, 'frame_00:02.png': 4.801211833953857, 'frame_00:03.png': 4.66363000869751, 'frame_00:04.png': 4.511440753936768} | short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Mr__Rogers_Comes_to_Visit_Scene_(9_10)_|_Movieclips | ../assets/split_scenes/short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Mr__Rogers_Comes_to_Visit_Scene_(9_10)_|_Movieclips/short_scene_001.mp4 | 0.322792 | 1.060905 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light, Practical light'}, {'<COMPOSITION>': 'Balanced'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial lig... | 7.8 | 3.8 | 0 | {"0": {"raw_counts": {"person": 6, "bed": 1, "couch": 1, "clock": 1, "chair": 1, "total": 10}, "bucketed_counts": {"humans": 6, "animals": 0, "vehicles": 0, "food": 0, "others": 4, "total": 10}}, "1": {"raw_counts": {"person": 4, "chair": 2, "couch": 1, "bed": 1, "cup": 1, "total": 9}, "bucketed_counts": {"humans": 4, ... | 0.036321 | [-1 1 1 1 1 1 1 -1 1 1 1 -1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=b-VzKjKNPGM | scene_001 | 1 | 137 | 257 | 00:00:05.714 | 00:00:10.719 | 5.714047 | 10.719052 | 5.005005 | 5.714047 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A somber scene unfolds within a warmly lit room, where an elderly man reclines in a bed placed against a wall adorned with framed pictures and decorative vases. In the foreground, a person sits in a chair, their back to the camera, as they face the bed. To the right, a man sits in a chair by a table holding an old ster... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A family gathers around a sick or elderly person in a bed, some taking photos, while others stand by, looking concerned. The scene is set in a modestly decorated living room, creating a somber and intimate atmosphere.
| 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Pitching_a_Tent_Scene_(2_10)_|_Movieclips | 4.914569 | {'frame_00:00.png': 4.945087432861328, 'frame_00:01.png': 4.8422932624816895, 'frame_00:02.png': 5.008208274841309, 'frame_00:03.png': 4.870199203491211, 'frame_00:04.png': 4.907055377960205} | short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Pitching_a_Tent_Scene_(2_10)_|_Movieclips | ../assets/split_scenes/short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Pitching_a_Tent_Scene_(2_10)_|_Movieclips/short_scene_001.mp4 | -0.28894 | 0.233083 | {'frame_00:00.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Green, Blue'}, {'<LIGHTING>': 'Hard light, Top light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Right h... | 3.6 | 2 | 0 | {"0": {"raw_counts": {"person": 2, "umbrella": 1, "tie": 1, "total": 4}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 2, "total": 4}}, "1": {"raw_counts": {"person": 2, "tie": 1, "umbrella": 1, "total": 4}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "o... | -0.02936 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 -1 1 -1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=4OWBufqkWWw | scene_001 | 1 | 286 | 387 | 00:00:11.929 | 00:00:16.141 | 11.928595 | 16.141141 | 4.212546 | 11.928595 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A person in a maroon cardigan and tie stands next to a small, gray tent with red stripes, smiling and gesturing toward it, on what appears to be a television set with a blue backdrop showing green rolling hills; a camera operator stands to the left, partially visible, operating a large camera; ivy and greenery decorate... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man smiles as he stands next to a tent and looks at the camera while a camera operator films him. The scene is set on a set with a backdrop of hills and greenery.
| 4.212546 | 1,920 | 810 | 101 | 1920x810 |
short_scene_001_short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Special_Puppet_Friends_Scene_(5_10)_|_Movieclips | 4.216729 | {'frame_00:00.png': 4.167184352874756, 'frame_00:01.png': 4.10935115814209, 'frame_00:02.png': 3.8560256958007812, 'frame_00:03.png': 4.411328315734863, 'frame_00:04.png': 4.539755344390869} | short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Special_Puppet_Friends_Scene_(5_10)_|_Movieclips | ../assets/split_scenes/short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Special_Puppet_Friends_Scene_(5_10)_|_Movieclips/short_scene_001.mp4 | -0.056091 | 0.116997 | {'frame_00:00.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Warm, Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light... | 0.8 | 0.6 | 0.2 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 1, "total": 1}, "bucketed_counts": {"humans": 1, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 1}}, "2": {"raw_counts": {"tot... | -0.083939 | [-1 -1 -1 1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 1 1 -1 -1 -1 -1 -1 -1 -1
-1 1] | https://youtube.com/watch?v=XL6HMWkljm8 | scene_001 | 1 | 175 | 276 | 00:00:07.299 | 00:00:11.512 | 7.298966 | 11.511512 | 4.212546 | 7.298966 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A hand opens a dark suitcase lined with a matching dark fabric. The fabric is lifted to reveal a stuffed animal cat with bright green eyes and a red nose lying next to a toy figure of a king with a white beard, crown, and royal robes. The hand carefully adjusts the toys within the suitcase.
| You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A hand opens a suitcase to reveal a stuffed lion and a puppet resembling a king. These items are packed inside the black suitcase, suggesting someone is preparing for a trip.
| 4.212546 | 1,920 | 810 | 101 | 1920x810 |
short_scene_001_short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Would_You_Be_Mine?_Scene_(1_10)_|_Movieclips | 4.15945 | {'frame_00:00.png': 3.9910888671875, 'frame_00:01.png': 4.155650615692139, 'frame_00:02.png': 3.91422700881958, 'frame_00:03.png': 4.475545406341553, 'frame_00:04.png': 4.260739326477051} | short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Would_You_Be_Mine?_Scene_(1_10)_|_Movieclips | ../assets/split_scenes/short_A_Beautiful_Day_in_the_Neighborhood_(2019)_-_Would_You_Be_Mine?_Scene_(1_10)_|_Movieclips/short_scene_001.mp4 | -0.32026 | 0.619134 | {'frame_00:00.png': [{'<COLOR>': 'Mixed, Saturated, Orange'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Daylight, Sunny'}, {'<COMPOSITION>': 'Center, Symmetrical'}], 'frame_00:01.png': [{'<COLOR>': 'Mixed, Saturated, Orange, Yellow, Blue'}, {'<LIGHTING>': 'Soft light'}, {'<LIGHTING_TYPE>': 'Artificial light, P... | 0.4 | 0 | 0 | {"0": {"raw_counts": {"total": 0}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 0}}, "1": {"raw_counts": {"tennis racket": 1, "total": 1}, "bucketed_counts": {"humans": 0, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 1}}, "2": {"raw_counts": {"total": 0... | -0.027352 | [-1 1 1 1 -1 1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 1 1 -1
-1 1] | https://youtube.com/watch?v=WVxVM2Lo5NM | scene_001 | 1 | 442 | 562 | 00:00:18.435 | 00:00:23.440 | 18.435102 | 23.440107 | 5.005005 | 18.435102 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | A model home is seen through a circular, patterned lens. The lens shifts to reveal a yellow traffic light with a similar circular, patterned lens. The color and lens pattern remain constant as the view alternates between the model home and the traffic light. The traffic light is encased in a yellow frame and has bolts ... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A variety of shots show a yellow traffic light illuminated against a background. The light is filmed up close and shown in different lighting and angles. | 5.005005 | 1,920 | 810 | 120 | 1920x810 |
short_scene_001_short_A_Bit_Nipply_Out_-_Christmas_Vacation_(4_10)_Movie_CLIP_(1989)_HD | 4.285006 | {'frame_00:00.png': 4.234274387359619, 'frame_00:01.png': 4.127614498138428, 'frame_00:02.png': 4.195295810699463, 'frame_00:03.png': 4.582840442657471} | short_A_Bit_Nipply_Out_-_Christmas_Vacation_(4_10)_Movie_CLIP_(1989)_HD | ../assets/split_scenes/short_A_Bit_Nipply_Out_-_Christmas_Vacation_(4_10)_Movie_CLIP_(1989)_HD/short_scene_001.mp4 | 0.000723 | 1.031346 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Left heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated'}, {'<LIGHTING>': 'Soft light, Low contrast, Side light'}, {'<LIGHTING_TYPE>': 'Daylight'}, {'<COMPOSITION>... | 1.5 | 1.5 | 0 | {"0": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "1": {"raw_counts": {"person": 2, "total": 2}, "bucketed_counts": {"humans": 2, "animals": 0, "vehicles": 0, "food": 0, "others": 0, "total": 2}}, "2": {"raw_counts": {"per... | -0.02983 | [-1, 1, 1, -1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, 1, -1, 1, -1, -1, -1, -1, 1, 1, -1, -1, 1] | https://youtube.com/watch?v=GxGkcC1VrhU | scene_001 | 1 | 59 | 149 | 00:00:02.461 | 00:00:06.215 | 2.460794 | 6.214548 | 3.753754 | 2.460794 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene focuses on a man in a light tan coat as he leans forward. His face is angled downward as he seems to examine something closely. As the scene progresses, the camera angle shifts slightly upward, revealing the man's face more clearly. He then looks up and speaks, a small smile appearing on his face. The backgro... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | A man wearing a tan coat bends over to examine an object covered by a cloth; the man then looks up and speaks with an expression of interest. Soft Christmas lights are visible in the background. | 3.753754 | 1,280 | 540 | 90 | 1280x540 |
short_scene_001_short_A_Boy's_Best_Friend_-_Psycho_(2_12)_Movie_CLIP_(1960)_HD | 4.994056 | {'frame_00:00.png': 5.0411577224731445, 'frame_00:01.png': 4.976540565490723, 'frame_00:02.png': 5.024566650390625, 'frame_00:03.png': 5.038547515869141, 'frame_00:04.png': 4.889469623565674} | short_A_Boy's_Best_Friend_-_Psycho_(2_12)_Movie_CLIP_(1960)_HD | ../assets/split_scenes/short_A_Boy's_Best_Friend_-_Psycho_(2_12)_Movie_CLIP_(1960)_HD/short_scene_001.mp4 | 0.03857 | 0.115755 | {'frame_00:00.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artificial light'}, {'<COMPOSITION>': 'Right heavy'}], 'frame_00:01.png': [{'<COLOR>': 'Desaturated, Black and White'}, {'<LIGHTING>': 'Hard light, Side light'}, {'<LIGHTING_TYPE>': 'Artifici... | 3.8 | 3.2 | 0 | {"0": {"raw_counts": {"person": 3, "vase": 1, "total": 4}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 4}}, "1": {"raw_counts": {"person": 3, "vase": 1, "total": 4}, "bucketed_counts": {"humans": 3, "animals": 0, "vehicles": 0, "food": 0, "others": 1, "total": 4}}, "2"... | 0.006052 | [-1, 1, 1, -1, -1, 1, -1, -1, -1, 1, -1, 1, 1, -1, 1, -1, -1, -1, 1, -1, -1, 1, 1, -1, -1, 1] | https://youtube.com/watch?v=I9mJ2oBONug | scene_001 | 1 | 43 | 163 | 00:00:01.793 | 00:00:06.798 | 1.79346 | 6.798465 | 5.005005 | 1.79346 | You're a helpful assistant who is a part of a team working on video generation. As an assistant your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
Keeping that in mind, provide a caption for the input video. Please focus on the art... | The scene is set indoors, featuring a young man who is sitting and gesturing with his right arm raised, pointing towards the upper left of the frame. He is wearing a collared shirt and a jacket. Behind him, a wooden dresser is visible, topped with a decorative arrangement of what appear to be taxidermied animals, inclu... | You're a helpful assistant who is a part of a team working on video generation. As an assistant, your task is to provide a meaningful caption for a provided video. These captions will be used to fine-tune other video generation models.
**IMPORTANT: Your caption must be no more than one to two sentences.** Keep it shor... | The man sits in a dimly lit room with taxidermied animals, gesturing to the side while speaking. The black and white image evokes a sense of mystery.
| 5.005005 | 1,280 | 540 | 120 | 1280x540 |
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