{"url":"/dataset/molweni","name":"Molweni","full_name":null,"description_markdown":"A machine reading comprehension (MRC) dataset with discourse structure built over multiparty dialog. Molweni's source samples from the Ubuntu Chat Corpus, including 10,000 dialogs comprising 88,303 utterances. \r\n\r\nSource: [Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure](/paper/molweni-a-challenge-multiparty-dialogues)","description_withheld":null,"homepage":"https://github.com/HIT-SCIR/Molweni","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/molweni-a-challenge-multiparty-dialogues","title":"Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure","first_author":"Jiaqi Li","url":null},"license":null,"modalities":[],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Reading Comprehension","url":"/task/reading-comprehension","datasets_with_task":"/datasets/task/reading-comprehension"},{"name":"Dialogue Understanding","url":"/task/dialogue-understanding","datasets_with_task":"/datasets/task/dialogue-understanding"},{"name":"Discourse Parsing","url":"/task/discourse-parsing","datasets_with_task":"/datasets/task/discourse-parsing"},{"name":"Machine Reading Comprehension","url":"/task/machine-reading-comprehension","datasets_with_task":"/datasets/task/machine-reading-comprehension"}],"languages":[],"variants":["Molweni"],"data_loaders":[{"repo":"https://github.com/HIT-SCIR/Molweni","url":"https://github.com/HIT-SCIR/Molweni","frameworks":[]}],"num_papers_in_archive":29,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/discourse-parsing-on-molweni","task":"Discourse Parsing","dataset_variant":"Molweni","rows":7,"metrics":["Link & Rel F1","Link F1"],"first_row_in_archive_order":{"model":"DP","paper":"/paper/multi-tasking-dialogue-comprehension-with","metrics":{"Link & Rel F1":"64.9","Link F1":"86.6"},"code_links":[{"title":"21644h/DP_QA_joint_model","url":"https://github.com/21644h/DP_QA_joint_model"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/question-answering-on-molweni","task":"Question Answering","dataset_variant":"Molweni","rows":4,"metrics":["EM","F1"],"first_row_in_archive_order":{"model":"Ma et al. - ELECTRA","paper":"/paper/enhanced-speaker-aware-multi-party-multi-turn","metrics":{"EM":"58.6","F1":"72.2"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/structured-dialogue-discourse-parsing-1","title":"Structured Dialogue Discourse Parsing","date":"2023-06-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/speaker-aware-discourse-parsing-on-multi","title":"Speaker-Aware Discourse Parsing on Multi-Party Dialogues","date":"2022-10-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/improving-multi-party-dialogue-discourse","title":"Improving Multi-Party Dialogue Discourse Parsing via Domain Integration","date":"2021-10-09","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multi-tasking-dialogue-comprehension-with","title":"Multi-tasking Dialogue Comprehension with Discourse Parsing","date":"2021-10-07","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/enhanced-speaker-aware-multi-party-multi-turn","title":"Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension","date":"2021-09-09","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/self-and-pseudo-self-supervised-prediction-of","title":"Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension","date":"2021-09-08","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/a-structure-self-aware-model-for-discourse","title":"A Structure Self-Aware Model for Discourse Parsing on Multi-Party Dialogues","date":"2021-08-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/dadgraph-a-discourse-aware-dialogue-graph","title":"DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension","date":"2021-04-26","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/molweni-a-challenge-multiparty-dialogues","title":"Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure","date":"2020-04-10","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."}