Amazon QA — Beauty
A Amazon dataset of 42,422 QA pairs in Beauty, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Beauty. Suitable for question answering, sentiment analysis, product understanding, conversational AI.
Cite this dataset at
amazon-qa-beauty.echo.directory
Analytics
Topic 0
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
Topic 6
Topic 7
Topic 8
Topic 9
Topic 10
Topic 11
Show all 22 topics
Topic 12
Topic 13
Topic 14
Topic 15
Topic 16
Topic 17
Topic 18
Topic 19
Topic 20
Topic 21
Sampled: text metrics from 50K of 84.8K records; topic model from 20K.
Record
- Catalog key
amazon_qa_Beauty- Authors
- Wan, Mengting; McAuley, Julian
- Year
- 2016
- Source paper
- Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems
- DOI / arXiv
- 10.1109/ICDM.2016.0060
- License
- No licence stated by the authors (citation requested)
- Records
- 42,422
- Languages
- en
- Collected
- 2013-2015 (2010s)
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://cseweb.ucsd.edu/~jmcauley/datasets.html#amazon_qa link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 4.0 MB across 1 files. Checksums in MANIFEST.json.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inproceedings{Wan_2016,
title = {Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems},
url = {http://dx.doi.org/10.1109/ICDM.2016.0060},
doi = {10.1109/icdm.2016.0060},
booktitle = {2016 IEEE 16th International Conference on Data Mining (ICDM)},
publisher = {IEEE},
author = {Wan, Mengting and McAuley, Julian},
year = {2016},
month = Dec,
pages = {489–498}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Wan, M., & McAuley, J. (2016). Amazon QA — Beauty [Data set]. https://doi.org/10.1109/ICDM.2016.0060
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Wan, Mengting, and Julian McAuley. Amazon QA — Beauty. 2016, doi.org/10.1109/ICDM.2016.0060.