Datasetpublic

randomath/Amazon-combined

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.… See the full description on the dataset page: https://huggingface.co/datasets/randomath/Amazon-combined.

sourceHugging Faceupdated 2y agoView on Hugging Face

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Dataset Card

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	liststr, 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 smallimageurl, mediumimageurl, and largeimageurl 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. <b>Please use parent ID to find product meta.</b>
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}
}