416 datasets found

Groups: Question Answering Organizations: No Organization

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  • TREC-QA

    The TREC-QA dataset is a benchmark dataset for question answering task.

  • Quantum Language Model with Entanglement Embedding for Question Answering

    The proposed QLM-EE model is used for question answering task on two benchmark datasets, TREC-QA and WIKIQA.

  • TREC DL

    TREC 2019 Deep Learning Track has the same training and dev set as MS MARCO, but replaces the test set with a novel set produced by TREC.

  • NQ

    An open-domain QA dataset that consists of a question, a retrieved article, a selected paragraph from the article, and a short answer inferable from the paragraph.

  • User Reported Scenarios (URS) dataset

    The User Reported Scenarios (URS) dataset is a collection of real-world use cases with 15 LLMs from a user study with 712 participants from 23 countries.

  • one-million-reddit-questions

    The dataset contains 500 questions from one million open-ended requests posted on AskReddit, and 129,483 of these questions were identified as asking for help.

  • PathVQA

    The dataset used in the paper is a set of sequential vision-and-language tasks, where each task consists of an image and a text input.

  • MS MARCO NLGen

    The MS MARCO NLGen dataset is a collection of natural language generation tasks, where the goal is to generate natural-sounding answers to questions.

  • Quora

    The Quora dataset is a large-scale dataset for information-seeking conversation systems. It contains questions and answers, and is used to evaluate the performance of...

  • FB15k-237

    Knowledge graphs (KGs) are collections of facts. Some well-known knowledge graphs include Freebase (Bollacker et al., 2008), Word-Net (Miller, 1995), YAGO (Suchanek et al.,...

  • WN18RR

    Knowledge graphs store a wealth of knowledge from the real world into structured graphs, which consist of collections of triplets, and each triplet (h, r, t) represents that...

  • FactCheckQA

    FactCheckQA is a refreshable dataset for probing model performance in trusted source alignment.

  • SQuAD

    The dataset used in the paper is a multiple-choice reading comprehension dataset, which includes a passage, question, and answer. The passage is a script, and the question is a...

  • SimpleQuestion Dataset

    The dataset used in the paper is a collection of data for the Simple Question dataset, which contains questions answerable using Wikidata as the knowledge graph.

  • Collective classification in network data

    Collective classification in network data.

  • Conditional Generative Matching Model for Multi-lingual Reply Suggestion

    A Conditional Generative Matching Model for Multi-lingual Reply Suggestion

  • CommonsenseQA

    The dataset used in the paper is also mentioned as CommonsenseQA, which is a 5-way multiple choice QA dataset that requires commonsense knowledge.

  • Visual Text Question Answering (VTQA)

    A new challenge named Visual Text Question Answering (VTQA) along with a corresponding dataset, which includes 23,781 questions based on 10,124 image-text pairs.

  • Natural Questions

    The Natural Questions dataset consists of questions extracted from web queries, with each question accompanied by a corresponding Wikipedia article containing the answer.

  • TriviaQA

    The TriviaQA dataset is a collection of questions sourced from Quiz League websites, with sentence-level supporting facts annotation.
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