|
--- |
|
license: gpl-3.0 |
|
language: |
|
- en |
|
tags: |
|
- recommendation |
|
- reviews |
|
- ecommerce |
|
- ratings |
|
- user-behavior |
|
pretty_name: Amazon Reviews 2023 All-Category k-Core |
|
size_categories: |
|
- 100M<n<1B |
|
--- |
|
# Dataset Card for `Amazon Reviews 2023 All-Category k-Core` |
|
|
|
* These datasets are subsets of [Amazon reviews dataset](https://amazon-reviews-2023.github.io/), collected in 2023 by [McAuley Lab](https://cseweb.ucsd.edu/~jmcauley/). |
|
|
|
* It contains **all categories** of the reviews from the original dataset that have more than $k \in [5, 20]$ interactions. |
|
|
|
* The original dataset contains reviews in the period of May. 1996 to Sep. 2023. |
|
|
|
* The reviews are grouped into 25 categories. |
|
|
|
* The dataset is in `.parquet` format. |
|
|
|
## Dataset Details |
|
|
|
### Dataset Description |
|
|
|
The dataset contains reviews from Amazon, and it is a subset of the original dataset. The dataset is in `.parquet` format. |
|
|
|
Please refer to the [Dataset Creation and Processing](#dataset-creation-and-processing) section for more details about the dataset. |
|
|
|
### Dataset Structure |
|
|
|
The repository is structured as follows: |
|
|
|
``` |
|
amazon-2023-all-category-k-core/ |
|
|- 5-core/ |
|
|- 5-core.parquet # 5-core ratings of all categories, 3.16GB |
|
|- 20-core/ |
|
|- category/ |
|
|- Arts_Crafts_and_Sewing/ |
|
|- ratings.parquet # ratings of Arts, Crafts & Sewing |
|
|- meta.parquet # meta data of items in Arts, Crafts & Sewing |
|
|- reviews.parquet # reviews of items in Arts, Crafts & Sewing |
|
|- ... # other categories |
|
|- 20-core.parquet # 20-core ratings of all categories, 1.1GB |
|
|- item_map.jsonl.gz # item map, format: [{item_index:int, parent_asin:str}], 7.97MB |
|
|- user_map.jsonl.gz # user map, format: [{user_index:int, user_id:str}], 29.4MB |
|
``` |
|
|
|
## Dataset Creation and Processing |
|
|
|
1. Merge the `ratings` from all categories of [Amazon reviews 2023 dataset](https://amazon-reviews-2023.github.io/) |
|
2. Filter out the `ratings` that have less than $k$ interactions, where $k \in [5, 20]$. |
|
3. Filter out the `meta` data and `reviews` of items that are not in the filtered `ratings`. |
|
4. Save the datasets in `.parquet` format. |
|
|
|
## Dataset Sources |
|
|
|
The original dataset is available at [Amazon reviews dataset](https://amazon-reviews-2023.github.io/). |
|
|
|
<!-- - **Repository:** [More Information Needed] --> |
|
<!-- - **Paper [optional]:** [More Information Needed] --> |
|
<!-- - **Demo [optional]:** [More Information Needed] --> |
|
|
|
## Uses |
|
|
|
This dataset can be used for recommendation systems, sentiment analysis, and other NLP tasks. |
|
|
|
<!-- ## Citation [optional] --> |
|
|
|
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
|
|
|
<!-- **BibTeX:** --> |
|
|
|
<!-- [More Information Needed] --> |
|
|
|
<!-- **APA:** --> |
|
|
|
<!-- [More Information Needed] --> |
|
|
|
## Glossary |
|
|
|
The glossary of the dataset is available at [Amazon Reviews#Data Fields](https://amazon-reviews-2023.github.io/#data-fields). |
|
|
|
## Dataset Card Authors |
|
|
|
Chenglong Ma |
|
|
|
## Dataset Card Contact |
|
|
|
https://huggingface.co/ChenglongMa |
