{"url":"/dataset/tac-2010","name":"TAC 2010","full_name":"TAC 2010","description_markdown":"**TAC 2010** is a dataset for summarization that consists of 44 topics, each of which is associated with a set of 10 documents. The test dataset is composed of approximately 44 topics, divided into five categories: Accidents and Natural Disasters, Attacks, Health and Safety, Endangered Resources, Investigations and Trials.\n\nSource: [Better Summarization Evaluation with Word Embeddings for ROUGE](https://arxiv.org/abs/1508.06034)\nImage Source: [https://tac.nist.gov//2010/Summarization/Guided-Summ.2010.guidelines.html](https://tac.nist.gov//2010/Summarization/Guided-Summ.2010.guidelines.html)","description_withheld":null,"homepage":"https://tac.nist.gov//2010/Summarization/Guided-Summ.2010.guidelines.html","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Entity Disambiguation","url":"/task/entity-disambiguation","datasets_with_task":"/datasets/task/entity-disambiguation"}],"languages":[],"variants":["TAC2010","TAC 2010"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/entity-disambiguation-on-tac2010","task":"Entity Disambiguation","dataset_variant":"TAC2010","rows":4,"metrics":["Micro Precision"],"first_row_in_archive_order":{"model":"DeepType","paper":"/paper/deeptype-multilingual-entity-linking-by","metrics":{"Micro Precision":"90.85"},"code_links":[{"title":"openai/deeptype","url":"https://github.com/openai/deeptype"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/deeptype-multilingual-entity-linking-by","title":"DeepType: Multilingual Entity Linking by Neural Type System Evolution","date":"2018-02-03","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/neural-cross-lingual-entity-linking","title":"Neural Cross-Lingual Entity Linking","date":"2017-12-05","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/learning-distributed-representations-of-texts","title":"Learning Distributed Representations of Texts and Entities from Knowledge Base","date":"2017-05-06","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/joint-learning-of-the-embedding-of-words-and","title":"Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation","date":"2016-01-06","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":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":2,"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."}