Amazon QA — All Categories (Cumulative)
A Amazon dataset of 1,396,896 QA pairs across 21 categories, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Comprehensive Amazon product Q&A data across 21 categories. Suitable for question answering, sentiment analysis, product understanding, conversational AI. The record count covers the single-answer files (qa_*.json.gz, one question and answer per line). The package also holds the multiple-answer release used in Wan and McAuley's ICDM 2016 paper (icdm/QA_*.json.gz, 17 categories: 172,617 products, 1,025,628 questions and 4,019,744 answers, with asker and answerer IDs and helpfulness votes), and McAuley's data page (index.html). Both are written as Python literals, not strict JSON (read them with ast.literal_eval).
Cite this dataset at
amazon-qa-all.echo.directory
Analytics
Topic 0
Topic 1
Topic 2
Topic 3
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Topic 8
Topic 9
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Topic 11
Show all 18 topics
Topic 12
Topic 13
Topic 14
Topic 15
Topic 16
Topic 17
Sampled: text metrics from 50K of 2.8M records; topic model from 20K.
Record
- Catalog key
amazon_qa_all- 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
- 1,396,896
- 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, 483.0 MB across 40 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 — All Categories (Cumulative) [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 — All Categories (Cumulative). 2016, doi.org/10.1109/ICDM.2016.0060.