Published 2016 | Version v4
Open dataset Metadata-only

AmazonQA

Creators

  • 1. Carnegie Mellon University

Description

Description

The AmazonQA dataset is a large‑scale, review‑based question‑answering collection built on the Amazon product and QA corpora, containing 923 k questions, 3.6 M answers, and 14 M review snippets drawn from 156 k products. Each entry is stored in JSON‑L format and includes the question text, question type (yes/no or descriptive), answer texts with helpfulness counts, product identifiers, category labels, and an answerability flag indicating whether the question can be answered from the available reviews. The repository provides preprocessing pipelines for multiple data configurations, analysis notebooks, and reference implementations of the baseline models described in the accompanying paper.

Variables

Name Description
questionText String. The question.
questionType String. Either "yesno" for a boolean question, or "descriptive" for a non-boolean question.
review_snippets List of strings. Extracted review snippets relevant to the question (at most ten).
answerText String. The text for the answer.
answerType String. Type of the answer.
helpful List of two integers. The first integer indicates the number of uses who found the answer helpful. The second integer indicates the total number of responses.
asin String. Unique product ID for the product the question pertains to.
qid Integer. Unique question id for the question (in the entire dataset).
category String. Product category.
top_review_wilson String. The review with the highest wilson score
top_review_helpful String. The review voted as most helpful by the users.
is_answerable Boolean. Output of the answerability classifier indicating whether the question is answerable using the review snippets.
top_sentences_IR List of strings. A list of top sentences (at most 10) based on IR score with the question.

Details

Resource type Open dataset
Title AmazonQA
Creators
  • Gupta, Mansi1
  • Kulkarni, Nitish1
  • Chanda, Raghuveer1
  • Rayasam, Anirudha1
  • Lipton, Zachary C.1
    • Publisher Github
    Year of publication 2016
    Research fields Business Administration Economics Psychology Economic & Social History Communication Sciences Other
    Companies Amazon
    Size 4 GB
    Formats JSON format (.json)
    External resource https://github.com/amazonqa/amazonqa

    Additional details

    Related works

    Is cited by
    Journal article: 10.1145/3432689 (DOI)