{"url":"/dataset/toolqa","name":"ToolQA","full_name":null,"description_markdown":"**ToolQA** is a question answering benchmark for Large Language Models (LLMs) which is designed to faithfully evaluate LLMs' ability to use external tools for question answering. The development of ToolQA involved a scalable, automated process for dataset curation, along with 13 specialized tools designed for interaction with external knowledge in order to answer questions.","description_withheld":null,"homepage":"https://github.com/night-chen/ToolQA","introduced_date":"2023-06-23","introduced_date_note":null,"introduced_by":null,"license":{"name":"Apache-2.0 license","url":"https://github.com/night-chen/ToolQA/blob/main/LICENSE"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["ToolQA"],"data_loaders":[],"num_papers_in_archive":16,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}