{"url":"/dataset/aeslc","name":"AESLC","full_name":null,"description_markdown":"To study the task of email subject line generation: automatically generating an email subject line from the email body. \r\n\r\nSource: [This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation](/paper/this-email-could-save-your-life-introducing)","description_withheld":null,"homepage":"https://github.com/ryanzhumich/AESLC","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/this-email-could-save-your-life-introducing","title":"This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation","first_author":"Rui Zhang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Text Summarization","url":"/task/text-summarization","datasets_with_task":"/datasets/task/text-summarization"},{"name":"Abstractive Text Summarization","url":"/task/abstractive-text-summarization","datasets_with_task":"/datasets/task/abstractive-text-summarization"},{"name":"Document Summarization","url":"/task/document-summarization","datasets_with_task":"/datasets/task/document-summarization"}],"languages":[],"variants":["AESLC"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/Yale-LILY/aeslc","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/aeslc","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/aeslc","frameworks":["tf","jax"]},{"repo":"https://github.com/ryanzhumich/AESLC","url":"https://github.com/ryanzhumich/AESLC","frameworks":[]}],"num_papers_in_archive":22,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/abstractive-text-summarization-on-aeslc","task":"Abstractive Text Summarization","dataset_variant":"AESLC","rows":2,"metrics":["ROUGE-1","ROUGE-2","ROUGE-L"],"first_row_in_archive_order":{"model":"PEGASUS","paper":"/paper/pegasus-pre-training-with-extracted-gap","metrics":{"ROUGE-1":"37.68","ROUGE-2":"21.25","ROUGE-L":"36.51"},"code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"google-research/pegasus","url":"https://github.com/google-research/pegasus"},{"title":"google-research/longt5","url":"https://github.com/google-research/longt5"},{"title":"amoramine/Pegasus_Longformer_summarization","url":"https://github.com/amoramine/Pegasus_Longformer_summarization"},{"title":"amoramine/Pegasus_with_Longformer_summarization","url":"https://github.com/amoramine/Pegasus_with_Longformer_summarization"},{"title":"allenai/open-mds","url":"https://github.com/allenai/open-mds"},{"title":"jiacheng-xu/text-sum-uncertainty","url":"https://github.com/jiacheng-xu/text-sum-uncertainty"},{"title":"rsreetech/PegasusDemo","url":"https://github.com/rsreetech/PegasusDemo"},{"title":"ElmiraGhorbani/Abstract-Text-Summarization","url":"https://github.com/ElmiraGhorbani/Abstract-Text-Summarization"},{"title":"abhilash1910/LongPegasus","url":"https://github.com/abhilash1910/LongPegasus"},{"title":"yangyucheng000/University","url":"https://github.com/yangyucheng000/University/tree/main/model-1/pegasus_x"},{"title":"yangyucheng000/University","url":"https://github.com/yangyucheng000/University/tree/main/model-1/pegasus"},{"title":"MindCode-4/code-2","url":"https://github.com/MindCode-4/code-2/tree/main/pegasus"},{"title":"ManuMahadevaswamy/PEGASUS","url":"https://github.com/ManuMahadevaswamy/PEGASUS"},{"title":"rsin46/pegasus-demo","url":"https://github.com/rsin46/pegasus-demo"},{"title":"amiyamandal-dev/pegasus","url":"https://github.com/amiyamandal-dev/pegasus"},{"title":"ibrahim-elsawy/test","url":"https://github.com/ibrahim-elsawy/test"},{"title":"bondarchukb/PEGASUS","url":"https://github.com/bondarchukb/PEGASUS"},{"title":"absummarization/absummarization.github.io","url":"https://github.com/absummarization/absummarization.github.io"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/pegasus-pre-training-with-extracted-gap","title":"PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization","date":"2019-12-18","rows_on_this_dataset":1,"code_links":19,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":19,"samples_ran":1,"samples_unverified":18,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/this-email-could-save-your-life-introducing","title":"This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation","date":"2019-06-08","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":19,"samples_ran":1,"samples_unverified":18,"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."}