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@@ -38,3 +38,24 @@ configs:
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  - split: train
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  path: cc-by-nc/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: train
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  path: cc-by-nc/train-*
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  ---
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+ # ChemRxiv Paragraphs
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+
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+ This dataset consists of paragraphs from ChemRxiv papers with **CC BY 4.0** and **CC BY-NC 4.0** licenses, sourced from the [BASF-AI/ChemRxiv-Papers](https://huggingface.co/datasets/BASF-AI/ChemRxiv-Papers) dataset. Paragraphs are extracted using Grobid, and filtered using an average log word probability method similar to the approach in [allenai/peS2o](https://huggingface.co/datasets/allenai/peS2o). Paragraphs with fewer than 50 words are excluded.
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+ The number of unique papers in each license category is as follows:
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+
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+ - **CC BY 4.0:** 5,848 papers
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+ - **CC BY-NC 4.0:** 3,082 papers
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+
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+ To obtain metadata for each paper, join on the `id` column with the [BASF-AI/ChemRxiv-Papers](https://huggingface.co/datasets/BASF-AI/ChemRxiv-Papers) dataset.
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+
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+ To access paragraphs for a specific license, use the `name` argument as follows:
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+
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+ ```python
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+ import datasets
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+
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+ cc_by = datasets.load_dataset('BASF-AI/ChemRxiv-Paragraphs', name='cc-by')
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+ cc_by_nc = datasets.load_dataset('BASF-AI/ChemRxiv-Paragraphs', name='cc-by-nc')
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+
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+ ```