Worldtree Corpus Dataset
Created by Xie et al. at 2020, the Worldtree Corpus Dataset contains multi-hop question answering/explanations where questions require combining between 1 and 16 facts (average 6) to generate detailed explanations for question answering inference. Each explanation is represented as a lexically-connected “explanation graph” that combines an average of 6 facts drawn from a semi-structured knowledge base of 9,216 facts across 66 tables., in English language. Containing 5,114 in Text, TSV file format.
Dataset Sources
Here you can download the Worldtree Corpus dataset in Text, TSV format.
Download Worldtree Corpus dataset Text, TSV files
Fine-tune with Worldtree Corpus dataset
Metatext is a powerful no-code tool for train, tune and integrate custom NLP models
Paper
Read full original Worldtree Corpus 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.