README.md

metadata

dataset_info:
  features:
    - name: main_category
      dtype: string
    - name: title
      dtype: string
    - name: average_rating
      dtype: float64
    - name: rating_number
      dtype: int64
    - name: features
      sequence: string
    - name: description
      sequence: string
    - name: price
      dtype: string
    - name: images
      struct:
        - name: hi_res
          sequence: string
        - name: large
          sequence: string
        - name: thumb
          sequence: string
        - name: variant
          sequence: string
    - name: videos
      struct:
        - name: title
          sequence: string
        - name: url
          sequence: string
        - name: user_id
          sequence: string
    - name: store
      dtype: string
    - name: categories
      sequence: string
    - name: details
      dtype: string
    - name: parent_asin
      dtype: string
    - name: bought_together
      dtype: 'null'
    - name: subtitle
      dtype: string
    - name: author
      dtype: string
    - name: reviews
      list:
        - name: asin
          dtype: string
        - name: helpful_vote
          dtype: int64
        - name: images
          list:
            - name: attachment_type
              dtype: string
            - name: large_image_url
              dtype: string
            - name: medium_image_url
              dtype: string
            - name: small_image_url
              dtype: string
        - name: parent_asin
          dtype: string
        - name: rating
          dtype: float64
        - name: text
          dtype: string
        - name: timestamp
          dtype: int64
        - name: title
          dtype: string
        - name: user_id
          dtype: string
        - name: verified_purchase
          dtype: bool
    - name: qa_pairs
      list:
        - name: answers
          list:
            - name: answer
              dtype: string
            - name: candidate
              dtype: string
            - name: label
              dtype: int64
        - name: question
          dtype: string
    - name: asin
      dtype: string
  splits:
    - name: train
      num_bytes: 596400838
      num_examples: 2980
  download_size: 317160149
  dataset_size: 596400838
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - text-generation
  - text2text-generation
  - question-answering
language:
  - en
tags:
  - qa
size_categories:
  - 1K<n<10K

Amazon Combined Dataset

E-commerce dataset that combines metadata, reviews, and sample question/answer pairs. combined.json contains the dataset and user2asin.json contains a file that maps user_id from reviews to an ASIN for capturing user preferences.

Data Fields

Field	Type	Explanation
main_category	str	Main category (i.e., domain) of the product.
title	str	Name of the product.
average_rating	float	Rating of the product shown on the product page.
rating_number	int	Number of ratings in the product.
features	list	Bullet-point format features of the product.
description	list	Description of the product.
price	float	Price in US dollars (at time of crawling).
images	list	Images of the product. Each image has different sizes (thumb, large, hi_res). The “variant” field shows the position of image.
videos	list	Videos of the product including title and url.
store	str	Store name of the product.
categories	list	Hierarchical categories of the product.
details	dict	Product details, including materials, brand, sizes, etc.
asin	str	ID of the product.
parent_asin	str	Parent ID of the product (should be same as ASIN)
bought_together	list	Recommended bundles from the websites.
reviews	list[Review]	List of User Reviews, see below.
qa_pairs	list[str, list[Answers]]	List with question text and list of Answers, see below.

For User Reviews

Field	Type	Explanation
rating	float	Rating of the product (from 1.0 to 5.0).
title	str	Title of the user review.
text	str	Text body of the user review.
images	list	Images that users post after they have received the product. Each image has different sizes (small, medium, large), represented by the small_image_url, medium_image_url, and large_image_url respectively.
asin	str	ID of the product.
parent_asin	str	Parent ID of the product. Note: Products with different colors, styles, sizes usually belong to the same parent ID. The “asin” in previous Amazon datasets is actually parent ID. Please use parent ID to find product meta.
user_id	str	ID of the reviewer
timestamp	int	Time of the review (unix time)
verified_purchase	bool	User purchase verification
helpful_vote	int	Helpful votes of the review

For Answers

Field	Type	Explanation
answer	str	manually written natural-sounding answer if label >= 1
candidate	str	Text used to justify answer
label	int	2 means fully answering, 1 means helpful but not fully answering, 0 means irrelevant

Datasets Used

Amazon Reviews 2023

@article{hou2024bridging,
  title={Bridging Language and Items for Retrieval and Recommendation},
  author={Hou, Yupeng and Li, Jiacheng and He, Zhankui and Yan, An and Chen, Xiusi and McAuley, Julian},
  journal={arXiv preprint arXiv:2403.03952},
  year={2024}
}

ePQA

@article{shen2023xpqa,
  title={xPQA: Cross-Lingual Product Question Answering across 12 Languages},
  author={Shen, Xiaoyu and Asai, Akari and Byrne, Bill and de Gispert, Adri{\`a}},
  journal={arXiv preprint arXiv:2305.09249},
  year={2023}
}