Create README.md

README.md

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+---
+task_categories:
+- text-classification
+- feature-extraction
+- sentence-similarity
+- text2text-generation
+- translation
+language:
+- en
+tags:
+- e-commerce
+- products
+- amazon
+- arabic
+size_categories:
+- 100K<n<1M
+---
+
+# Dataset Card for Amazon Products 2023 Arabic
+
+## Dataset Summary
+
+This dataset contains product metadata from Amazon, filtered to include only products that became available in 2023. The dataset is intended for use in semantic search applications and includes a variety of product categories.
+
+- **Number of Rows:** 117,243
+- **Number of Columns:** 15
+
+## Data Source
+
+The data is sourced from [Amazon Reviews 2023](https://amazon-reviews-2023.github.io/). 
+It includes product information across multiple categories, with additional embeddings. 
+
+[NLLB 1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B) was used for translation to `Modern Standard Arabic`.
+
+Embeddings were created from the **title_arb** + **description_arb** using the **text-embedding-3-small** model.
+
+## Dataset Structure
+
+### Number of Products by Filename
+
+| | filename | product_count |
+|---:|:----------------------------------------|----------------:|
+| 0 | meta_Amazon_Fashion | 470 |
+| 1 | meta_Appliances | 573 |
+| 2 | meta_Arts_Crafts_and_Sewing | 2948 |
+| 3 | meta_Automotive | 7161 |
+| 4 | meta_Baby_Products | 526 |
+| 5 | meta_Beauty_and_Personal_Care | 1402 |
+| 6 | meta_Books | 2 |
+| 7 | meta_CDs_and_Vinyl | 1319 |
+| 8 | meta_Cell_Phones_and_Accessories | 5062 |
+| 9 | meta_Clothing_Shoes_and_Jewelry | 41777 |
+| 10 | meta_Digital_Music | 56 |
+| 11 | meta_Electronics | 7681 |
+| 12 | meta_Gift_Cards | 8 |
+| 13 | meta_Grocery_and_Gourmet_Food | 96 |
+| 14 | meta_Handmade_Products | 1018 |
+| 15 | meta_Health_and_Household | 4760 |
+| 16 | meta_Health_and_Personal_Care | 93 |
+| 17 | meta_Home_and_Kitchen | 17326 |
+| 18 | meta_Industrial_and_Scientific | 1216 |
+| 19 | meta_Magazine_Subscriptions | 3 |
+| 20 | meta_Musical_Instruments | 639 |
+| 21 | meta_Office_Products | 3545 |
+| 22 | meta_Patio_Lawn_and_Garden | 3075 |
+| 23 | meta_Pet_Supplies | 2742 |
+| 24 | meta_Software | 157 |
+| 25 | meta_Sports_and_Outdoors | 6343 |
+| 26 | meta_Tools_and_Home_Improvement | 4776 |
+| 27 | meta_Toys_and_Games | 1367 |
+| 28 | meta_Unknown | 541 |
+| 29 | meta_Video_Games | 561 |
+
+
+### Columns
+
+- **parent_asin (str):** Unique identifier for the product.
+- **date_first_available (datetime64[ns]):** The date when the product first became available.
+- **title (str):** Title of the product.
+- **title_arb (str):** Title of the product translated to `Modern Standard Arabic`.
+- **description (str):** Description of the product.
+- **description_arb (str):** Description of the product translated to `Modern Standard Arabic`.
+- **filename (str):** Filename associated with the product metadata.
+- **main_category (str):** Main category of the product.
+- **categories (List[str]):** Subcategories of the product.
+- **store (str):** Store information for the product.
+- **average_rating (float64):** Average rating of the product.
+- **rating_number (float64):** Number of ratings for the product.
+- **price (float64):** Price of the product.
+- **features (List[str]):** Features of the product.
+- **details (str):** Additional details of the product. The string is JSON serializable.
+- **embeddings (List[float64]):** Embeddings generated for the product using **text-embedding-3-small** model.
+- **image (str):** URL of the product image.
+
+### Missing Values
+
+- **main_category:** 24,805 missing values
+- **store:** 253 missing values
+- **rating_number:** 6 missing values
+- **price:** 35,869 missing values
+
+### Sample Data
+
+```json
+[
+ {
+ "parent_asin": "B000044U2O",
+ "date_first_available": "2023-04-29T00:00:00",
+ "title": "Anomie & Bonhomie",
+ "description": "Amazon.com Fans of Scritti Politti's synth-pop-funk masterpiece Cupid & Psyche 85 may be shocked by how far afield Scritti mastermind Green Gartside has gone since then. Anomie & Bonhomie, his return to recording after a decadelong absence, ranges from guest shots by rappers and funksters such as Mos Def and Me'Shell Ndegeocello to Foo Fighters tributes. Gartside's trademark breathy vocals and spot-on melodicism do find their places here, but are often forced to make way for other influences. Neither a total success nor a total failure, Anomie does display a spark that makes one hope that Gartside doesn't wait so long to record again. --Rickey Wright",
+ "filename": "meta_Digital_Music",
+ "main_category": "Digital Music",
+ "categories": [],
+ "store": "Scritti Politti Format: Audio CD",
+ "average_rating": 4.2,
+ "rating_number": 56.0,
+ "price": null,
+ "features": [],
+ "details": "{'Date First Available': 'April 29, 2023'}",
+ "embeddings": [],
+ "image": "https://m.media-amazon.com/images/I/41T618NE88L.jpg"
+ },
+ ...
+]
+```
+
+### Usage
+This dataset can be used for various applications, including:
+
+- Semantic Search: Utilizing the embeddings to find similar products based on textual descriptions.
+- Product Recommendation: Enhancing recommendation systems with detailed product metadata.
+
+### Citation
+
+```bibtex
+@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}
+}
+```
+
+### Contact
+For questions or issues regarding the dataset, please contact [Amazon Reviews 2023](https://amazon-reviews-2023.github.io/).