Classify and extract text 10x better and faster 🦾


➡️  Learn more

TriviaQA Dataset

Created by Joshi et al. at 2017, the TriviaQA Dataset containing over 650K question-answer-evidence triples. It includes 95K QA pairs authored by trivia enthusiasts and independently gathered evidence documents, 6 per question on average., in English language. Containing 650,000+ in JSON file format.

Dataset Sources

Here you can download the TriviaQA dataset in JSON format.

Download TriviaQA dataset JSON files

Fine-tune with TriviaQA dataset

Metatext is a powerful no-code tool for train, tune and integrate custom NLP models

➡️  Learn more

Paper

Read full original TriviaQA paper.

Download PDF paper


Classify and extract text 10x better and faster 🦾

Metatext helps you to classify and extract information from text and documents with customized language models with your data and expertise.