README.md

---
license: mit
language:
- en
paperswithcode_id: embedding-data/Amazon-QA
pretty_name: Amazon-QA

---

# Dataset Card for "Amazon-QA"

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)
  
## Dataset Description

- **Homepage:** [http://jmcauley.ucsd.edu/data/amazon/qa/](http://jmcauley.ucsd.edu/data/amazon/qa/)
- **Repository:** [More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [Julian McAuley](https://cseweb.ucsd.edu//~jmcauley/#)
- **Size of downloaded dataset files:** 
- **Size of the generated dataset:** 
- **Total amount of disk used:** 247 MB

### Dataset Summary

This dataset contains Question and Answer data from Amazon, totaling around 1.4 million answered questions.

This dataset can be combined with Amazon product review data, available [here](http://jmcauley.ucsd.edu/data/amazon/), 
by matching ASINs in the Q/A dataset with ASINs in the review data. The review data also includes product metadata (product titles etc.).

Disclaimer: The team releasing Amazon-QA data did not upload the dataset to the Hub and did not write a dataset card. 
These steps were done by the Hugging Face team.

### Supported Tasks and Leaderboards

[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)

### Languages
[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)

## Dataset Structure

### Data Instances

### Data Fields

Sample question (and answer):

```
{
  "asin": "B000050B6Z",
  "questionType": "yes/no",
  "answerType": "Y",
  "answerTime": "Aug 8, 2014",
  "unixTime": 1407481200,
  "question": "Can you use this unit with GEL shaving cans?",
  "answer": "Yes. If the can fits in the machine it will despense hot gel lather. I've been using my machine for both , gel and traditional lather for over 10 years."
}
```
where

asin - ID of the product, e.g. B000050B6Z
questionType - type of question. Could be 'yes/no' or 'open-ended'
answerType - type of answer. Could be 'Y', 'N', or '?' (if the polarity of the answer could not be predicted). Only present for yes/no questions.
answerTime - raw answer timestamp
unixTime - answer timestamp converted to unix time
question - question text
answer - answer text

### Data Splits

## Dataset Creation

### Curation Rationale

[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)

#### Who are the source language producers?

[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)

### Annotations

#### Annotation process

[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)

#### Who are the annotators?

[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)

### Personal and Sensitive Information

[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)

### Discussion of Biases

[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)

### Other Known Limitations

[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/s)

## Additional Information

### Dataset Curators

[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)

### Licensing Information

[More Information Needed](http://jmcauley.ucsd.edu/data/amazon/qa/)

### Citation Information

```
Modeling ambiguity, subjectivity, and diverging viewpoints in opinion question answering systems
Mengting Wan, Julian McAuley
International Conference on Data Mining (ICDM), 2016

Addressing complex and subjective product-related queries with customer reviews
Julian McAuley, Alex Yang
World Wide Web (WWW), 2016

```


### Contributions

Thanks to [Julian McAuley](https://cseweb.ucsd.edu//~jmcauley/#) for adding this dataset.