trivia-qa
trivia_qa
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… See the full description on the dataset page: https://huggingface.co/datasets/mandarjoshi/trivia_qa.based_triviaqatrivia_qa_tiny
Dataset Card for Dataset Name
Dataset Summary
This dataset contains 100 samples from trivia_qa dataset. It is used mainly for testing purposes.
Languages
English.
Dataset Structure
Data Instances
Total data size: 8Kb.
Data Fields
question: string feature, containing question to be answered.
`answer: string feature, answer to the question.
Data Splits
Only test split, that contains 100 rows, is supported.
TriviaQA-in-SQuAD-format
Dataset Card for "TriviaQA-in-SQuAD-format"
More Information needed
triviaqa
Dataset Card for "triviaqa"
Split taken from the MRQA 2019 Shared Task, formatted and filtered for Question Answering. For the original dataset, have a look here.
trivia-qa-triplet
Dataset Card for Trivia QA with Triplets
This is a reformatting of the Trivia QA dataset used to train the BGE-M3 model. See the full BGE-M3 dataset in Shitao/bge-m3-data.
Dataset Subsets
triplet subset
Columns: "anchor", "positive", "negative"
Column types: str, str, str
Examples:{
'anchor': 'Which American-born Sinclair won the Nobel Prize for Literature in 1930?',
'positive': 'Sinclair Lewis Sinclair Lewis Harry Sinclair Lewis (February 7… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/trivia-qa-triplet.