{"url":"/dataset/decanlp","name":"decaNLP","full_name":"Natural Language Decathlon Benchmark","description_markdown":"Natural Language Decathlon Benchmark (decaNLP) is a challenge that spans ten tasks: question answering, machine translation, summarization, natural language inference, sentiment analysis, semantic role labeling, zero-shot relation extraction, goal-oriented dialogue, semantic parsing, and commonsense pronoun resolution. The tasks as cast as question answering over a context.\r\n\r\nSource: [The Natural Language Decathlon: Multitask Learning as Question Answering](https://arxiv.org/pdf/1806.08730v1.pdf)\r\nImage Source: [http://decanlp.com/](http://decanlp.com/)","description_withheld":null,"homepage":"http://decanlp.com","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/the-natural-language-decathlon-multitask","title":"The Natural Language Decathlon: Multitask Learning as Question Answering","first_author":"Bryan McCann","url":null},"license":{"name":"Custom (multiple)","url":"http://decanlp.com/#what-do-i-need-to-know-about-licensing"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Natural Language Understanding","url":"/task/natural-language-understanding","datasets_with_task":"/datasets/task/natural-language-understanding"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["decaNLP"],"data_loaders":[{"repo":"https://github.com/facebookresearch/ParlAI","url":"https://parl.ai/docs/tasks.html#decanlp:-the-natural-language-decathlon","frameworks":["pytorch"]}],"num_papers_in_archive":28,"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."}