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