Datasets:
pierreguillou
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README.md
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@@ -48,8 +48,8 @@ At last, in order to use Hugging Face notebooks on fine-tuning layout models lik
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For all these reasons, I decided to process the DocLayNet dataset:
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- into 3 datasets of different sizes:
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- [DocLayNet small](https://huggingface.co/datasets/pierreguillou/DocLayNet-small) < 1.000k document images (691 train, 64 val, 49 test)
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- [DocLayNet base](https://huggingface.co/datasets/pierreguillou/DocLayNet-base) < 10.000k document images (6910 train, 648 val, 499 test)
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- DocLayNet large with full dataset (to be done)
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- with associated texts,
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- and in a format facilitating their use by HF notebooks.
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@@ -58,6 +58,8 @@ For all these reasons, I decided to process the DocLayNet dataset:
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### Download & overview
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```
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# !pip install -q datasets
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For all these reasons, I decided to process the DocLayNet dataset:
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- into 3 datasets of different sizes:
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- [DocLayNet small](https://huggingface.co/datasets/pierreguillou/DocLayNet-small) (about 1% of DocLayNet) < 1.000k document images (691 train, 64 val, 49 test)
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- [DocLayNet base](https://huggingface.co/datasets/pierreguillou/DocLayNet-base) (about 10% of DocLayNet) < 10.000k document images (6910 train, 648 val, 499 test)
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- DocLayNet large with full dataset (to be done)
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- with associated texts,
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- and in a format facilitating their use by HF notebooks.
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### Download & overview
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The size of the DocLayNet small is about 1% of the DocLayNet dataset (random selection respectively in the train, val and test files).
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```
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# !pip install -q datasets
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