{"url":"/dataset/t-rex","name":"T-REx","full_name":null,"description_markdown":"A dataset of large scale alignments between Wikipedia abstracts and Wikidata triples. T-REx consists of 11 million triples aligned with 3.09 million Wikipedia abstracts (6.2 million sentences).\r\n\r\nSource: [T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples](/paper/t-rex-a-large-scale-alignment-of-natural)","description_withheld":null,"homepage":"https://hadyelsahar.github.io/t-rex/downloads/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/t-rex-a-large-scale-alignment-of-natural","title":"T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples","first_author":"Hady Elsahar","url":null},"license":{"name":"Creative Commons Attribution-ShareAlike 4.0 International License","url":"https://creativecommons.org/licenses/by-sa/4.0/"},"modalities":[],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Relation Extraction","url":"/task/relation-extraction","datasets_with_task":"/datasets/task/relation-extraction"},{"name":"Language Modelling","url":"/task/language-modelling","datasets_with_task":"/datasets/task/language-modelling"},{"name":"Zero-shot Slot Filling","url":"/task/zero-shot-slot-filling","datasets_with_task":"/datasets/task/zero-shot-slot-filling"},{"name":"Factual probe","url":"/task/factual-probe","datasets_with_task":"/datasets/task/factual-probe"}],"languages":[],"variants":["T-REx"],"data_loaders":[],"num_papers_in_archive":117,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/zero-shot-slot-filling-on-t-rex","task":"Zero-shot Slot Filling","dataset_variant":"T-REx","rows":6,"metrics":["R-Prec","R@5"],"first_row_in_archive_order":{"model":"DPRDNS+RAG","paper":"/paper/robust-retrieval-augmented-generation-for","metrics":{"R-Prec":"74.34","R@5":"82.89"},"code_links":[{"title":"IBM/retrieve-write-slot-filling","url":"https://github.com/IBM/retrieve-write-slot-filling"},{"title":"ibm/kgi-slot-filling","url":"https://github.com/ibm/kgi-slot-filling"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/robust-retrieval-augmented-generation-for","title":"Robust Retrieval Augmented Generation for Zero-shot Slot Filling","date":"2021-08-31","rows_on_this_dataset":6,"code_links":2,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":8,"samples_ran":7,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":1,"samples_harvested":8,"samples_ran":7,"samples_unverified":1,"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."}