Datasets

Viewing 21-30 of 71 datasets
  • hasPart KB

    A high-quality KB of hasPart relationsAristo • 2020A high-quality knowledge base of ~50k hasPart relationships, extracted from a large corpus of generic statements.
  • SciDocs

    Academic paper representation dataset accompanying the SPECTER paper/modelSemantic Scholar • 2020Representation learning is a critical ingredient for natural language processing systems. Recent Transformer language models like BERT learn powerful textual representations, but these models are targeted towards token- and sentence-level training objectives…
  • GenericsKB

    A large knowledge base of generic sentencesAristo • 2020The GenericsKB contains 3.4M+ generic sentences about the world, i.e., sentences expressing general truths such as "Dogs bark," and "Trees remove carbon dioxide from the atmosphere." Generics are potentially useful as a knowledge source for AI systems…
  • SciFact

    1.4K expert-written scientific claims paired with evidence-containing abstracts.Semantic Scholar • 2020Due to the rapid growth in the scientific literature, there is a need for automated systems to assist researchers and the public in assessing the veracity of scientific claims. To facilitate the development of systems for this task, we introduce SciFact, a…
  • TORQUE

    A new English reading comprehension benchmark built on 3.2k news snippets with 21k human-generated questions querying temporal relationships.AllenNLP • 2020A critical part of reading is being able to understand the temporal relationships between events described in a passage of text, even when those relationships are not explicitly stated. However, current machine reading comprehension benchmarks have…
  • Contrast Sets

    Contrast sets provide a local view of a model's decision boundary, which can be used to more accurately evaluate a model's true linguistic capabilities.AllenNLP • 2020Standard test sets for supervised learning evaluate in-distribution generalization. Unfortunately, when a dataset has systematic gaps (e.g., annotation artifacts), these evaluations are misleading: a model can learn simple decision rules that perform well on…
  • CORD-19: COVID-19 Open Research Dataset

    Tens of thousands of scholarly articles about COVID-19 and related coronavirusesSemantic Scholar • 2020CORD-19 is a free resource of tens of thousands of scholarly articles about COVID-19, SARS-CoV-2, and related coronaviruses for use by the global research community.
  • Break

    83,978 examples sampled from 10 question answering datasets over text, images and databases.AI2 Israel, Question Understanding • 2020Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations (QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases.
  • ARC Direct Answer Questions

    A dataset of 2,985 grade-school level, direct-answer science questions derived from the ARC multiple-choice question set.Aristo • 2020A dataset of 2,985 grade-school level, direct-answer ("open response", "free form") science questions derived from the ARC multiple-choice question set released as part of the AI2 Reasoning Challenge in 2018.
  • S2ORC: The Semantic Scholar Open Research Corpus

    The largest collection of machine-readable academic papers to date for NLP & text mining.Semantic Scholar • 2019A large corpus of 81.1M English-language academic papers spanning many academic disciplines. Rich metadata, paper abstracts, resolved bibliographic references, as well as structured full text for 8.1M open access papers. Full text annotated with…