{"url":"/dataset/pwc-leaderboards","name":"PWC Leaderboards","full_name":"Papers with Code Leaderboards","description_markdown":"The **Papers with Code Leaderboards** dataset is a collection of over 5,000 results capturing performance of machine learning models. Each result is a tuple of form (task, dataset, metric name, metric value). The data was collected using the Papers with Code review interface.\r\n\r\nSource: [AxCell: Automatic Extraction of Results from Machine Learning Papers](https://paperswithcode.com/paper/axcell-automatic-extraction-of-results-from)\r\nImage Source: [AxCell: Automatic Extraction of Results from Machine Learning Papers](https://paperswithcode.com/paper/axcell-automatic-extraction-of-results-from)","description_withheld":null,"homepage":"https://github.com/paperswithcode/axcell","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/axcell-automatic-extraction-of-results-from","title":"AxCell: Automatic Extraction of Results from Machine Learning Papers","first_author":"Marcin Kardas","url":null},"license":null,"modalities":[{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[{"name":"Scientific Results Extraction","url":"/task/scientific-results-extraction","datasets_with_task":"/datasets/task/scientific-results-extraction"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["PWC Leaderboards (restricted)","PWC Leaderboards"],"data_loaders":[{"repo":"https://github.com/paperswithcode/axcell","url":"https://github.com/paperswithcode/axcell","frameworks":[]}],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/scientific-results-extraction-on-pwc","task":"Scientific Results Extraction","dataset_variant":"PWC Leaderboards (restricted)","rows":1,"metrics":["Macro F1","Macro Precision","Macro Recall","Micro F1","Micro Precision","Micro Recall"],"first_row_in_archive_order":{"model":"AxCell","paper":"/paper/axcell-automatic-extraction-of-results-from","metrics":{"Macro F1":"21.1","Macro Precision":"24","Macro Recall":"21.8","Micro F1":"28.7","Micro Precision":"37.4","Micro Recall":"23.2"},"code_links":[{"title":"paperswithcode/axcell","url":"https://github.com/paperswithcode/axcell"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/axcell-automatic-extraction-of-results-from","title":"AxCell: Automatic Extraction of Results from Machine Learning Papers","date":"2020-04-29","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":0,"samples_unverified":14,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":14,"samples_ran":0,"samples_unverified":14,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}