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pszemraj/scientific_lay_summarisation-elife-norm

scientific_lay_summarisation - elife - normalized This is the "elife" split. For more words, refer to the PLOS split README Contents load with datasets: from datasets import load_dataset # If the dataset is gated/private, make sure you have run huggingface-cli login dataset = load_dataset("pszemraj/scientific_lay_summarisation-elife-norm") dataset Output: DatasetDict({ train: Dataset({ features: ['article', 'summary', 'section_headings', 'keywords'… See the full description on the dataset page: https://huggingface.co/datasets/pszemraj/scientific_lay_summarisation-elife-norm.

sourceHugging Facemitupdated 9mo agoView on Hugging Face
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filetest.parquet6.5 MBdownload
filetrain.parquet118.8 MBdownload
filevalidation.parquet6.5 MBdownload

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