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initial/README.md

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+# Initial Product Corpus
+
+(Initial because somethings may change in the future)
+
+This dataset contains a **combined and deduplicated product metadata corpus**, created by merging two sources:
+
+- [**Amazon ESCI Dataset**](https://github.com/amazon-science/esci-data)
+- [**Amazon M2 Dataset**](https://arxiv.org/pdf/2307.09688)
+
+The merged dataset contains product records that match a corresponding entry in the [Amazon Reviews 2023](https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2023) dataset (based on product ID). While **review data is not included**, users can externally enrich each product using this linkage.
+
+---
+
+## 📦 Dataset Format
+
+- Format: **JSON Lines (`.jsonl.gz`)**
+- Each line is a single product record as a JSON object.
+- Missing values are represented as `null`.
+
+---
+
+## 🧾 Column Descriptions
+
+| Column                | Description                                                   |
+|-----------------------|---------------------------------------------------------------|
+| `id`                  | Unique product identifier (e.g., ASIN)                        |
+| `locale`              | Region or language variant (e.g., `us`, `uk`)                 |
+| `title`               | Product title                                                 |
+| `desc`                | Full product description                                      |
+| `price`               | Product price in float format (if available)                 |
+| `brand`               | Brand name                                                    |
+| `color`               | Color of the product                                          |
+| `size`                | Product size (especially for apparel)                         |
+| `model`               | Model name or number                                          |
+| `material`            | Product material (e.g., cotton, metal)                        |
+| `author`              | Author name (for books, music, etc.)                          |
+| `product_bullet_point`| Marketing bullet points from the listing                      |
+
+---
+
+## 📊 Schema & Sparsity
+
+| Column                | Non-Null Count | Non-Null % | Type     |
+|-----------------------|----------------|------------|----------|
+| id                    | 518,970        | 100.0%     | string   |
+| locale                | 518,970        | 100.0%     | string   |
+| title                 | 518,970        | 100.0%     | string   |
+| desc                  | 291,278        | 56.1%      | string   |
+| price                 | 47,374         | 9.1%       | float    |
+| brand                 | 480,665        | 92.6%      | string   |
+| color                 | 272,382        | 52.5%      | string   |
+| size                  | 22,340         | 4.3%       | string   |
+| model                 | 28,629         | 5.5%       | string   |
+| material              | 21,845         | 4.2%       | string   |
+| author                | 8,569          | 1.7%       | string   |
+| product_bullet_point  | 376,224        | 72.5%      | string   |
+
+---
+
+## 🧪 Example Record
+
+```json
+{
+  "id": "B08K2S1VJ6",
+  "locale": "us",
+  "title": "Wireless Bluetooth Earbuds",
+  "desc": "Experience high-fidelity sound with our latest Bluetooth 5.0 earbuds...",
+  "price": 29.99,
+  "brand": "SoundMax",
+  "color": "Black",
+  "size": null,
+  "model": "SM-BT2021",
+  "material": "Plastic",
+  "author": null,
+  "product_bullet_point": "Noise cancellation; Long battery life; Compact design"
+}
+````
+
+---
+
+## 📁 File Contents
+
+* `data.jsonl.gz`: The complete corpus (519k records)
+* `README.md`: This documentation file

initial/combined_corpus.jsonl.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:31b96c8c81979846cc71b833ab224fe5f8a2644975d729c8f1c4d4651177a68b
+size 193594009