{"url":"/dataset/multitq","name":"MultiTQ","full_name":null,"description_markdown":"MULTITQ is a large-scale dataset featuring ample relevant facts and multiple temporal granularities.","description_withheld":null,"homepage":"https://github.com/czy1999/MultiTQ","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"}],"languages":[],"variants":["MultiTQ"],"data_loaders":[],"num_papers_in_archive":11,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/question-answering-on-multitq","task":"Question Answering","dataset_variant":"MultiTQ","rows":11,"metrics":["Hits@1","Hits@10"],"first_row_in_archive_order":{"model":"Prog-TQA","paper":"/paper/self-improvement-programming-for-temporal","metrics":{"Hits@1":"79.7","Hits@10":"91"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/self-improvement-programming-for-temporal","title":"Self-Improvement Programming for Temporal Knowledge Graph Question Answering","date":"2024-04-02","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/temporal-knowledge-question-answering-via","title":"Temporal Knowledge Question Answering via Abstract Reasoning Induction","date":"2023-11-15","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/llama-2-open-foundation-and-fine-tuned-chat","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","date":"2023-07-18","rows_on_this_dataset":1,"code_links":19,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":52,"samples_ran":31,"samples_unverified":21,"pointer_only_for_licence":16,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/0-1-deep-neural-networks-via-block-coordinate","title":"0/1 Deep Neural Networks via Block Coordinate Descent","date":"2022-06-19","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/question-answering-over-temporal-knowledge","title":"Question Answering Over Temporal Knowledge Graphs","date":"2021-06-03","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/muti-view-mouse-social-behaviour-recognition","title":"Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model","date":"2020-11-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/improving-multi-hop-question-answering-over","title":"Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings","date":"2020-07-01","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/distilbert-a-distilled-version-of-bert","title":"DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter","date":"2019-10-02","rows_on_this_dataset":1,"code_links":37,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":27,"samples_ran":19,"samples_unverified":8,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/albert-a-lite-bert-for-self-supervised","title":"ALBERT: A Lite BERT for Self-supervised Learning of Language Representations","date":"2019-09-26","rows_on_this_dataset":1,"code_links":48,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":126,"samples_ran":46,"samples_unverified":80,"pointer_only_for_licence":22,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/bert-pre-training-of-deep-bidirectional","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","date":"2018-10-11","rows_on_this_dataset":1,"code_links":534,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":659,"samples_ran":204,"samples_unverified":455,"pointer_only_for_licence":149,"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":5,"samples_harvested":866,"samples_ran":300,"samples_unverified":566,"pointer_only_for_licence":188,"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."}