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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:

The merged dataset contains product records that match a corresponding entry in the Amazon Reviews 2023 dataset (based on product ID). While review data is not included, users can externally enrich each product using this linkage.


πŸ“¦ 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

πŸ“Š 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

πŸ§ͺ Example Record

{
  "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"
}

πŸ“ File Contents

  • data.jsonl.gz: The complete corpus (519k records)
  • README.md: This documentation file