# OOM issue with large dataset streaming

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**Category:** 🤗Datasets\
**Created:** [March 6, 2025, 3:56pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Foom-issue-with-large-dataset-streaming%2F144488 "2025-03-06T15:56:42Z")\
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**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FJohn6666)%5C
**Post date:** [March 6, 2025, 4:06pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Foom-issue-with-large-dataset-streaming%2F144488%2F2 "2025-03-06T16:06:22Z")

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Is the data set file itself too large…?  
If it seems like a bug, let’s call lhonestq.

> [@How to load a large hf dataset efficiently?](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhow-to-load-a-large-hf-dataset-efficiently%2F69288)%3A
>
> I am trying to load a dataset [axiong/pmc\_oa · Datasets at Hugging Face](https://huggingface.co/datasets/axiong/pmc_oa) The dataset size is around 22 gb and I have ram ~10 GB, the dataset object is stuck at extracting file point I also tried streaming mode but that’s giving another error. from datasets import load\_dataset dataset = load\_dataset("axiong/pmc\_oa", 'pmc\_oa', split='train', streaming=True) print(next(iter(dataset))) Any suggestion on how to deal with…

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