Datasets:

ChenglongMa
/

amazon-2023-all-category-k-core

@@ -3,147 +3,94 @@ license: gpl-3.0
 language:
 - en
 tags:
-- recommender systems
 - reviews
-- user behavior
 pretty_name: Amazon Reviews 2023 All-Category k-Core
 size_categories:
 - 100M<n<1B
 ---
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 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 [optional]
+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