added classes and concepts txts, removed duplicate images, updated README

README.md

@@ -1,3 +1,394 @@
 ---
-license: mit
+annotations_creators:
+- machine-generated
+language: []
+language_creators:
+- machine-generated
+license:
+- mit
+multilinguality: []
+pretty_name: Playing cards
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+tags:
+- attribute
+- concepts
+task_categories:
+- image-classification
+- image-segmentation
+task_ids:
+- multi-label-image-classification
+- instance-segmentation
 ---
+
+# Dataset Card for Playing cards
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Additional Information](#additional-information)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+### Dataset Summary
+
+A dataset containing three sets of playing card images. Each set contains 10,000 images and has a series of attributes. Cards are randomly rotated, flipped and scaled (within limits).
+
+Train and test splits are provided in both JSON and Pkl formats. Concept and task classification labels (both starting from 0) and names are provided in txt files.
+
+## Dataset Structure
+
+### Data Instances
+
+Each set of samples have the following:
+* A set number of playing cards in each sample
+* A list of concepts present in the each sample (1 for concepts present and 0 otherwise)
+* The task classification label
+* coordinates for each of the corners of playing cards in each sample.
+
+The basic structure of the JSON and pkl files describing each sample is as follows:
+
+```
+sample ID, {
+	'img_path': string file path,
+	'concept_label': list of 0s and 1s,
+	'class_label': integer,
+	'card_points': list of tuples and card class labels as integers
+}
+```
+
+## Single
+
+Single playing card on a random background.
+
+* **Number of playing cards**: 1
+* **Concepts**: Suit and rank
+* **Class label**: Card classification
+* **Card points**: Coordinates of the card and card classification
+
+### Example
+
+```
+1599, {
+	'img_path': 'imgs/single/1599.png',
+	'concept_label': [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1],
+	'class_label': 11,
+	'card_points': [[[(657, 517), (405, 609), (520, 139), (268, 231)], 11]]
+}
+```
+
+## Three
+
+Three randomly selected playing cards on a random background. Class label is always set to 0 (for now).
+
+* **Number of playing cards**: 3
+* **Concepts**: Cards present
+* **Class label**: 0
+* **Card points**: Coordinates of the cards and card classifications
+
+### Example
+
+```
+1878, {
+	'img_path': 'imgs/three/1878.png',
+	'concept_label': [1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+	'class_label': 0,
+	'card_points': [[[(22, 342), (148, 308), (72, 531), (198, 497)], 38], [[(333, 461), (207, 495), (283, 272), (157, 306)], 0], [[(292, 270), (418, 236), (343, 459), (468, 425)], 4]]
+}
+```
+
+## Three card poker
+
+Three playing cards on a random background. Class label is set to hand rank for the game Three card poker.
+
+* **Number of playing cards**: 3
+* **Concepts**: Cards present
+* **Class label**: Hand rank
+* **Card points**: Coordinates of the cards and card classifications
+
+### Example
+
+```
+9259, {
+	'img_path': 'imgs/three_card_poker/9259.png',
+	'concept_label': [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+	'class_label': 4,
+	'card_points': [[[(42, 478), (84, 347), (237, 541), (279, 411)], 8], [[(325, 271), (282, 401), (129, 208), (87, 338)], 13], [[(370, 132), (328, 262), (175, 68), (133, 198)], 10]]
+}
+```
+
+### Data Fields
+
+* String file path from the root of the dataset to a given samples image file
+* A list of concepts present in the each sample (1 for concepts present and 0 otherwise). The index of each value in this list corresponds to the label in concepts.txt.
+* The task classification label. This corresponds the the label in classes.txt
+* list of playing cards present in a given sample. Each item in the list has a list of card coordinates and the card classification label (either corresponding to concepts.txt or classes.txt depending on the the images used).
+
+### Data Splits
+
+#### Single
+
+##### Task classifications
+
+| Class name | Count train | Count val |
+| --- | --- | --- |
+| 2C | 135 | 58 |
+| 2D | 135 | 58 |
+| 2H | 135 | 58 |
+| 2S | 135 | 58 |
+| 3C | 135 | 58 |
+| 3D | 135 | 58 |
+| 3H | 135 | 58 |
+| 3S | 135 | 58 |
+| 4C | 135 | 58 |
+| 4D | 135 | 58 |
+| 4H | 135 | 58 |
+| 4S | 135 | 58 |
+| 5C | 135 | 58 |
+| 5D | 135 | 58 |
+| 5H | 135 | 58 |
+| 5S | 135 | 58 |
+| 6C | 134 | 58 |
+| 6D | 134 | 58 |
+| 6H | 134 | 58 |
+| 6S | 134 | 58 |
+| 7C | 134 | 58 |
+| 7D | 134 | 58 |
+| 7H | 134 | 58 |
+| 7S | 134 | 58 |
+| 8C | 134 | 58 |
+| 8D | 134 | 58 |
+| 8H | 134 | 58 |
+| 8S | 134 | 58 |
+| 9C | 134 | 58 |
+| 9D | 134 | 58 |
+| 9H | 134 | 58 |
+| 9S | 134 | 58 |
+| 10C | 134 | 58 |
+| 10D | 134 | 58 |
+| 10H | 134 | 58 |
+| 10S | 134 | 58 |
+| JC | 134 | 58 |
+| JD | 134 | 58 |
+| JH | 134 | 58 |
+| JS | 134 | 58 |
+| QC | 134 | 58 |
+| QD | 134 | 58 |
+| QH | 134 | 58 |
+| QS | 134 | 58 |
+| KC | 134 | 58 |
+| KD | 134 | 58 |
+| KH | 134 | 58 |
+| KS | 134 | 58 |
+
+##### Concepts
+
+| Concept name | Count train | Count val |
+| --- | --- | --- |
+| 2 | 540 | 232 |
+| 3 | 540 | 232 |
+| 4 | 540 | 232 |
+| 5 | 540 | 232 |
+| 6 | 536 | 232 |
+| 7 | 536 | 232 |
+| 8 | 536 | 232 |
+| 9 | 536 | 232 |
+| 10 | 536 | 232 |
+| J | 536 | 232 |
+| Q | 536 | 232 |
+| K | 536 | 232 |
+| A | 536 | 232 |
+| C | 1746 | 754 |
+| D | 1746 | 754 |
+| H | 1746 | 754 |
+| S | 1746 | 754 |
+
+#### Three
+
+##### Task classification
+
+| Class name | Count train | Count val |
+| --- | --- | --- |
+| All | 6999 | 3001 |
+
+##### Concepts
+
+| Concept name | Count train | Count val |
+| --- | --- | --- |
+| 2C | 398 | 181 |
+| 2D | 441 | 161 |
+| 2H | 385 | 143 |
+| 2S | 397 | 170 |
+| 3C | 439 | 171 |
+| 3D | 383 | 165 |
+| 3H | 398 | 181 |
+| 3S | 435 | 179 |
+| 4C | 407 | 164 |
+| 4D | 402 | 179 |
+| 4H | 409 | 168 |
+| 4S | 403 | 191 |
+| 5C | 402 | 150 |
+| 5D | 373 | 173 |
+| 5H | 383 | 187 |
+| 5S | 426 | 178 |
+| 6C | 394 | 176 |
+| 6D | 414 | 172 |
+| 6H | 398 | 184 |
+| 6S | 413 | 163 |
+| 7C | 409 | 171 |
+| 7D | 412 | 158 |
+| 7H | 391 | 185 |
+| 7S | 453 | 176 |
+| 8C | 390 | 171 |
+| 8D | 398 | 171 |
+| 8H | 406 | 148 |
+| 8S | 368 | 193 |
+| 9C | 381 | 187 |
+| 9D | 429 | 167 |
+| 9H | 391 | 193 |
+| 9S | 370 | 174 |
+| 10C | 450 | 171 |
+| 10D | 420 | 161 |
+| 10H | 436 | 180 |
+| 10S | 406 | 169 |
+| JC | 416 | 160 |
+| JD | 411 | 176 |
+| JH | 409 | 182 |
+| JS | 404 | 178 |
+| QC | 403 | 171 |
+| QD | 376 | 185 |
+| QH | 407 | 182 |
+| QS | 420 | 156 |
+| KC | 414 | 180 |
+| KD | 384 | 176 |
+| KH | 377 | 157 |
+| KS | 382 | 192 |
+| AC | 348 | 168 |
+| AD | 408 | 177 |
+| AH | 427 | 174 |
+| AS | 401 | 178 |
+
+#### Three card poker
+
+##### Task classification
+
+| Class name | Count train | Count val |
+| --- | --- | --- |
+| straight_flush | 1166 | 501 |
+| three_of_a_kind | 1166 | 501 |
+| straight | 1166 | 501 |
+| flush | 1166 | 501 |
+| pair | 1166 | 500 |
+| high_card | 1166 | 500 |
+
+##### Concepts
+
+| Concept name | Count train | Count val |
+| --- | --- | --- |
+| 2C | 344 | 171 |
+| 2D | 368 | 181 |
+| 2H | 386 | 161 |
+| 2S | 359 | 163 |
+| 3C | 400 | 186 |
+| 3D | 421 | 181 |
+| 3H | 414 | 181 |
+| 3S | 407 | 172 |
+| 4C | 409 | 185 |
+| 4D | 388 | 199 |
+| 4H | 408 | 185 |
+| 4S | 411 | 195 |
+| 5C | 403 | 176 |
+| 5D | 409 | 191 |
+| 5H | 401 | 198 |
+| 5S | 392 | 206 |
+| 6C | 422 | 177 |
+| 6D | 405 | 194 |
+| 6H | 444 | 161 |
+| 6S | 412 | 175 |
+| 7C | 420 | 181 |
+| 7D | 404 | 189 |
+| 7H | 429 | 156 |
+| 7S | 433 | 158 |
+| 8C | 422 | 173 |
+| 8D | 436 | 159 |
+| 8H | 412 | 167 |
+| 8S | 431 | 166 |
+| 9C | 407 | 186 |
+| 9D | 405 | 174 |
+| 9H | 432 | 169 |
+| 9S | 398 | 185 |
+| 10C | 416 | 164 |
+| 10D | 413 | 174 |
+| 10H | 430 | 171 |
+| 10S | 402 | 176 |
+| JC | 431 | 170 |
+| JD | 462 | 158 |
+| JH | 443 | 145 |
+| JS | 405 | 186 |
+| QC | 401 | 186 |
+| QD | 432 | 163 |
+| QH | 419 | 187 |
+| QS | 397 | 172 |
+| KC | 363 | 157 |
+| KD | 358 | 178 |
+| KH | 367 | 157 |
+| KS | 364 | 155 |
+| AC | 380 | 155 |
+| AD | 363 | 151 |
+| AH | 359 | 150 |
+| AS | 351 | 156 |
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset was created to test Concept Bottleneck Models [1] with instance and class level concepts.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+The dataset uses background from [2] and playing card images from [3]. The dataset is balanced to the task classification labels with concepts, backgrounds and card transformations being applied randomly. The code used to generate the dataset is available here [4].
+
+### Annotations
+
+#### Annotation process
+
+The annotation process was completed during the generation of the dataset.
+
+#### Who are the annotators?
+
+Annotations were completed by a machine.
+
+### Personal and Sensitive Information
+
+This dataset does not contain personal and sensitive Information.
+
+## Additional Information
+
+### Licensing Information
+
+This dataset is licenced with the [MIT licence](https://choosealicense.com/licenses/mit/).
+
+### Citation Information
+
+[1] Koh, P.W., Nguyen, T., Tang, Y.S., Mussmann, S., Pierson, E., Kim, B. &amp; Liang, P.. (2020). Concept Bottleneck Models. Proceedings of the 37th International Conference on Machine Learning, in Proceedings of Machine Learning Research 119:5338-5348 Available from https://proceedings.mlr.press/v119/koh20a.html.
+
+[2] M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed and A. Vedaldi, "Describing Textures in the Wild," 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 3606-3613, doi: 10.1109/CVPR.2014.461.
+
+[3] j4p4n, "Full Deck Of Ornate Playing Cards - English", Available at: https://openclipart.org/download/315253/1550166858.svg
+
+[4] J. Furby, "playing-card-concept-generator", Available at: https://github.com/JackFurby/playing-card-concept-generator

splits/single/classes.txt

@@ -0,0 +1,52 @@
+2C 0
+2D 1
+2H 2
+2S 3
+3C 4
+3D 5
+3H 6
+3S 7
+4C 8
+4D 9
+4H 10
+4S 11
+5C 12
+5D 13
+5H 14
+5S 15
+6C 16
+6D 17
+6H 18
+6S 19
+7C 20
+7D 21
+7H 22
+7S 23
+8C 24
+8D 25
+8H 26
+8S 27
+9C 28
+9D 29
+9H 30
+9S 31
+10C 32
+10D 33
+10H 34
+10S 35
+JC 36
+JD 37
+JH 38
+JS 39
+QC 40
+QD 41
+QH 42
+QS 43
+KC 44
+KD 45
+KH 46
+KS 47
+AC 48
+AD 49
+AH 50
+AS 51

splits/single/concepts.txt

@@ -0,0 +1,17 @@
+2 0
+3 1
+4 2
+5 3
+6 4
+7 5
+8 6
+9 7
+10 8
+J 9
+Q 10
+K 11
+A 12
+C 13
+D 14
+H 15
+S 16

splits/three/classes.txt

@@ -0,0 +1 @@
+all 0

splits/three/concepts.txt

@@ -0,0 +1,52 @@
+2C 0
+2D 1
+2H 2
+2S 3
+3C 4
+3D 5
+3H 6
+3S 7
+4C 8
+4D 9
+4H 10
+4S 11
+5C 12
+5D 13
+5H 14
+5S 15
+6C 16
+6D 17
+6H 18
+6S 19
+7C 20
+7D 21
+7H 22
+7S 23
+8C 24
+8D 25
+8H 26
+8S 27
+9C 28
+9D 29
+9H 30
+9S 31
+10C 32
+10D 33
+10H 34
+10S 35
+JC 36
+JD 37
+JH 38
+JS 39
+QC 40
+QD 41
+QH 42
+QS 43
+KC 44
+KD 45
+KH 46
+KS 47
+AC 48
+AD 49
+AH 50
+AS 51