Update README.md

README.md

@@ -12,4 +12,89 @@ tags:
 - amazon
 size_categories:
 - 100K<n<1M
----
+---
+
+# Dataset Card for Amazon Products 2023
+
+## 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 embeddings created using the `text-embedding-3-small` model.
+
+## Dataset Structure
+
+### 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.
+- **description (str):** Description of the product.
+- **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/).