metadata
dataset_info:
- config_name: metadata
features:
- name: asin
dtype: string
- name: title
dtype: string
- name: description
dtype: string
- name: brand
dtype: string
- name: categories
sequence:
sequence: string
- name: price
dtype: float64
- name: salesRank
struct:
- name: Arts, Crafts & Sewing
dtype: int64
- name: Automotive
dtype: int64
- name: Baby
dtype: int64
- name: Beauty
dtype: int64
- name: Books
dtype: int64
- name: Camera & Photo
dtype: int64
- name: Cell Phones & Accessories
dtype: int64
- name: Clothing
dtype: int64
- name: Computers & Accessories
dtype: int64
- name: Electronics
dtype: int64
- name: Grocery & Gourmet Food
dtype: int64
- name: Health & Personal Care
dtype: int64
- name: Home & Kitchen
dtype: int64
- name: Home Improvement
dtype: int64
- name: Industrial & Scientific
dtype: int64
- name: Jewelry
dtype: int64
- name: Kitchen & Dining
dtype: int64
- name: Magazines
dtype: int64
- name: Movies & TV
dtype: int64
- name: Music
dtype: int64
- name: Musical Instruments
dtype: int64
- name: Office Products
dtype: int64
- name: Patio, Lawn & Garden
dtype: int64
- name: Pet Supplies
dtype: int64
- name: Shoes
dtype: int64
- name: Software
dtype: int64
- name: Sports & Outdoors
dtype: int64
- name: Toys & Games
dtype: int64
- name: Watches
dtype: int64
- name: imUrl
dtype: string
- name: also_bought
sequence: string
- name: also_viewed
sequence: string
- name: bought_together
sequence: string
- name: buy_after_viewing
sequence: string
splits:
- name: train
num_bytes: 359046349
num_examples: 259070
download_size: 141907265
dataset_size: 359046349
- config_name: reviews
features:
- name: reviewerID
dtype: string
- name: reviewerName
dtype: string
- name: overall
sequence: int64
- name: reviewTime
sequence: timestamp[us]
- name: asin
sequence: string
- name: reviewText
sequence: string
- name: summary
sequence: string
splits:
- name: train
num_bytes: 847333669
num_examples: 1210271
download_size: 512228398
dataset_size: 847333669
configs:
- config_name: metadata
data_files:
- split: train
path: metadata/train-*
- config_name: reviews
data_files:
- split: train
path: reviews/train-*
Amazon Beauty Dataset
Directory Structure
metadata: Contains product information.
reviews: Contains user reviews about the products.
filtered:
- e5-base-v2_embeddings.jsonl: Contains "asin" and "embeddings" created with e5-base-v2.
- metadata.jsonl: Contains "asin" and "text", where text is created from the title, description, brand, main category, and category.
- reviews.jsonl: Contains "reviewerID", "reviewTime", and "asin". Reviews are filtered to include only perfect 5-star ratings with a minimum of 5 ratings.
Usage
Download metadata
metadata = load_dataset(path="Studeni/Amazon_Beauty_2014", name="metadata", split="train")
Download reviews
metadata = load_dataset(path="Studeni/Amazon_Beauty_2014", name="reviews", split="train")
Download filtered files
filtered_reviews = load_dataset(
path="Studeni/Amazon_Beauty_2014",
data_files="filtered/reviews.parquet",
split="train",
)
📎 Note: You can set any file or list of files from the "filtered" directory as the "data_files" argument.
Citation
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}
}
Amazon Reviews 2018
@inproceedings{ni2019justifying,
title={Justifying recommendations using distantly-labeled reviews and fine-grained aspects},
author={Ni, Jianmo and Li, Jiacheng and McAuley, Julian},
booktitle={Proceedings of the 2019 conference on empirical methods in natural language processing and the 9th international joint conference on natural language processing (EMNLP-IJCNLP)},
pages={188--197},
year={2019}
}
Amazon Reviews 2014
@inproceedings{he2016ups,
title={Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering},
author={He, Ruining and McAuley, Julian},
booktitle={proceedings of the 25th international conference on world wide web},
pages={507--517},
year={2016}
}
@inproceedings{mcauley2015image,
title={Image-based recommendations on styles and substitutes},
author={McAuley, Julian and Targett, Christopher and Shi, Qinfeng and Van Den Hengel, Anton},
booktitle={Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval},
pages={43--52},
year={2015}
}