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README.md

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 ---
 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.).
+
+### 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.
+