OneStopQA Dataset
Created by Berzak et al. at 2020, the OneStopQA Dataset comprises 30 articles from the Guardian in 3 parallel text difficulty versions and contains 1,458 paragraph-question pairs with multiple choice questions, along with manual span markings for both correct and incorrect answers., in English language. Containing 30 in Text file format.
Dataset Sources
Here you can download the OneStopQA dataset in Text format.
Download OneStopQA dataset Text files
Fine-tune with OneStopQA dataset
Metatext is a powerful no-code tool for train, tune and integrate custom NLP models
Paper
Read full original OneStopQA 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.