Yahoo! Answers Topic Classification
- kaggle.com
zipUpdated Jun 30, 2022
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EmailClick to copy linkLink copiedCiteBhavik Ardeshna (2022). Yahoo! Answers Topic Classification [Dataset]. https://www.kaggle.com/datasets/bhavikardeshna/yahoo-email-classificationzip(324007831 bytes)Available download formatsDataset updatedJun 30, 2022AuthorsBhavik ArdeshnaLicensehttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
DescriptionThe Yahoo! Answers topic classification dataset is constructed using the 10 largest main categories. Each class contains 140,000 training samples and 6,000 testing samples. Therefore, the total number of training samples is 1,400,000, and testing samples are 60,000 in this dataset. From all the answers and other meta-information, we only used the best answer content and the main category information.
- Society & Culture
- Science & Mathematics
- Health
- Education & Reference
- Computers & Internet
- Sports
- Business & Finance
- Entertainment & Music
- Family & Relationships
- Politics & Government
The Yahoo! Answers topic classification dataset is constructed by Xiang Zhang (xiang.zhang@nyu.edu) from the above dataset. It is used as a text classification benchmark in the following paper: Xiang Zhang, Junbo Zhao, and Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015)
- O
yahoo-answers-qa
- opendatalab.com
zipUpdated Jan 10, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2024). yahoo-answers-qa [Dataset]. https://opendatalab.com/OpenDataLab/yahoo-answers-qazipAvailable download formatsDataset updatedJan 10, 2024DescriptionThe Yahoo! Answers topic classification dataset is constructed using 10 largest main categories. Each class contains 140,000 training samples and 6,000 testing samples. Therefore, the total number of training samples is 1,400,000 and testing samples 60,000 in this dataset. From all the answers and other meta-information, we only used the best answer content and the main category information.
- O
yahoo-answers-topics
- opendatalab.com
zipUpdated Jan 9, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2024). yahoo-answers-topics [Dataset]. https://opendatalab.com/OpenDataLab/yahoo-answers-topicszipAvailable download formatsDataset updatedJan 9, 2024DescriptionThe Yahoo! Answers topic classification dataset is constructed using 10 largest main categories. Each class contains 140,000 training samples and 6,000 testing samples. Therefore, the total number of training samples is 1,400,000 and testing samples 60,000 in this dataset. From all the answers and other meta-information, we only used the best answer content and the main category information.
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The Yahoo! dataset is constructed using 10 largest main categories.
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
The Yahoo! Answers topic classification dataset is constructed using the 10 largest main categories. Each class contains 140,000 training samples and 6,000 testing samples. Therefore, the total number of training samples is 1,400,000, and testing samples are 60,000 in this dataset. From all the answers and other meta-information, we only used the best answer content and the main category information.
- Society & Culture
- Science & Mathematics
- Health
- Education & Reference
- Computers & Internet
- Sports
- Business & Finance
- Entertainment & Music
- Family & Relationships
- Politics & Government
The Yahoo! Answers topic classification dataset is constructed by Xiang Zhang (xiang.zhang@nyu.edu) from the above dataset. It is used as a text classification benchmark in the following paper: Xiang Zhang, Junbo Zhao, and Yann LeCun. Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015)