Dataset Card for "trivia_qa"

  Dataset Summary

TriviaqQA is a reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaqQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents, six per question on average, that provide high quality distant supervision for answering the questions.

  Supported Tasks and Leaderboards

More Information Needed

  Languages

English.… See the full description on the dataset page: https://huggingface.co/datasets/mandarjoshi/trivia_qa.

Dataset Card for triviaqa

This is a preprocessed version of triviaqa dataset for benchmarks in LM-Polygraph.

  Dataset Details





  Dataset Description

Curated by: https://huggingface.co/LM-Polygraph License: https://github.com/IINemo/lm-polygraph/blob/main/LICENSE.md

  Dataset Sources [optional]

Repository: https://github.com/IINemo/lm-polygraph

  Uses







  Direct Use

This dataset should be used for performing benchmarks on… See the full description on the dataset page: https://huggingface.co/datasets/LM-Polygraph/triviaqa.

TODO: DATASET DESCRIPTION

Dataset Card for MetaQA Agents' Predictions

  Dataset Summary

This dataset contains the answer predictions of the QA agents for the QA datasets used in MetaQA paper. In particular, it contains the following QA agents' predictions:

  Span-Extraction Agents

Agent: Span-BERT Large (Joshi et al.,2020) trained on SQuAD. Predictions for: SQuAD NewsQA HotpotQA SearchQA Natural Questions TriviaQA-web QAMR DuoRC DROP

Agent: Span-BERT Large (Joshi et al.,2020) trained on… See the full description on the dataset page: https://huggingface.co/datasets/haritzpuerto/MetaQA_Agents_Predictions.