Dataset Card

Dataset Overview

• Dataset Name: Yahoo Answers 10 categories for NLP
• Task Type: Text Classification
• Tags: categories, text data, nlp, yelp, fine-grained, 10 classes, yahoo, answers
• Language: English
• Data Scale: 1M<n<10M
• License: Apache 2.0

Dataset Description

• Dataset Construction: Built using the 10 largest primary categories of Yahoo! Answers.
• Data Content: Only the best answer content and primary category information are used.
• File Description:
  • classes.txt: Contains the list of categories corresponding to each label.
  • train.csv and test.csv: Contain all training and test samples in CSV format. Each row has 4 columns: category index (1 to 10), question title, question content, and best answer. Text fields are escaped with double quotes; internal double quotes are escaped by two double quotes; newline characters are escaped with a backslash followed by "n".

Dataset Source

• Kaggle Link: https://www.kaggle.com/datasets/yacharki/yahoo-answers-10-categories-for-nlp-csv
• DOI: 10.34740/KAGGLE/DSV/5339321
• Authors: Xiang Zhang and Acharki Yassir
• Year: 2023

Dataset Structure

• File List:
  • Readme.md
  • test.csv
  • train.csv
  • classes.txt

Dataset Usage

• Direct Use: Fine-grained text classification