SubjQA Dataset
Created by Bjerva et al. at 2020, the SubjQA Dataset is a question answering dataset that focuses on subjective (as opposed to factual) questions and answers. The dataset consists of roughly 10,000 questions over reviews from 6 different domains: books, movies, grocery, electronics, TripAdvisor (i.e. hotels), and restaurants. Each question is paired with a review and a span is highlighted as the answer to the question (with some questions having no answer)., in English language. Containing 10,098 in CSV file format.
Dataset Sources
Here you can download the SubjQA dataset in CSV format.
Download SubjQA dataset CSV files
Fine-tune with SubjQA dataset
Metatext is a powerful no-code tool for train, tune and integrate custom NLP models
Paper
Read full original SubjQA 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.