{"url":"/dataset/elife","name":"eLife","full_name":"Scientific Lay Summarization","description_markdown":"This dataset contains 4,828 full biomedical articles paired with non-technical lay summaries derived from the eLife scientific journal.","description_withheld":null,"homepage":"https://github.com/TGoldsack1/Corpora_for_Lay_Summarisation","introduced_date":"2022-10-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/making-science-simple-corpora-for-the-lay","title":"Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature","first_author":"Tomas Goldsack","url":null},"license":null,"modalities":[],"tasks":[{"name":"Abstractive Text Summarization","url":"/task/abstractive-text-summarization","datasets_with_task":"/datasets/task/abstractive-text-summarization"},{"name":"Lay Summarization","url":"/task/lay-summarization","datasets_with_task":"/datasets/task/lay-summarization"}],"languages":[],"variants":["eLife"],"data_loaders":[],"num_papers_in_archive":24,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/abstractive-text-summarization-on-elife","task":"Abstractive Text Summarization","dataset_variant":"eLife","rows":1,"metrics":["Test ROGUE-1"],"first_row_in_archive_order":{"model":"Two stage LLMs","paper":"/paper/biolay-ak-ss-at-biolaysumm-domain-adaptation","metrics":{"Test ROGUE-1":"0.4635"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/lay-summarization-on-elife","task":"Lay Summarization","dataset_variant":"eLife","rows":1,"metrics":["ROUGE-1","ROUGE-2","ROUGE-L"],"first_row_in_archive_order":{"model":"BART","paper":"/paper/making-science-simple-corpora-for-the-lay","metrics":{"ROUGE-1":"46.57","ROUGE-2":"11.65","ROUGE-L":"43.70"},"code_links":[{"title":"tgoldsack1/corpora_for_lay_summarisation","url":"https://github.com/tgoldsack1/corpora_for_lay_summarisation"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/biolay-ak-ss-at-biolaysumm-domain-adaptation","title":"BioLay_AK_SS at BioLaySumm: Domain Adaptation by Two-Stage Fine-Tuning of Large Language Models used for Biomedical Lay Summary Generation","date":"2024-08-16","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/making-science-simple-corpora-for-the-lay","title":"Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature","date":"2022-10-18","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}