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README.md
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| 1 |
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---
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| 2 |
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dataset_info:
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features:
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- name: asin
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dtype: string
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- name: description
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dtype: string
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- name: title
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dtype: string
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- name: imUrl
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dtype: string
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- name: salesRank
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struct:
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- name: Arts, Crafts & Sewing
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dtype: int64
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- name: Automotive
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dtype: int64
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| 18 |
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- name: Baby
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dtype: int64
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- name: Beauty
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| 21 |
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dtype: int64
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- name: Books
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dtype: int64
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- name: Camera & Photo
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dtype: int64
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- name: Cell Phones & Accessories
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dtype: int64
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- name: Clothing
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dtype: int64
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- name: Computers & Accessories
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dtype: int64
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| 32 |
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- name: Electronics
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dtype: int64
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| 34 |
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- name: Grocery & Gourmet Food
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| 35 |
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dtype: int64
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| 36 |
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- name: Health & Personal Care
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dtype: int64
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| 38 |
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- name: Home & Kitchen
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dtype: int64
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- name: Home Improvement
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dtype: int64
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- name: Industrial & Scientific
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dtype: int64
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- name: Jewelry
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dtype: int64
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- name: Kitchen & Dining
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dtype: int64
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- name: Magazines
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dtype: int64
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- name: Movies & TV
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dtype: int64
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- name: Music
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dtype: int64
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- name: Musical Instruments
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dtype: int64
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- name: Office Products
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dtype: int64
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- name: Patio, Lawn & Garden
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dtype: int64
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- name: Pet Supplies
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dtype: int64
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- name: Shoes
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dtype: int64
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- name: Software
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dtype: int64
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- name: Sports & Outdoors
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dtype: int64
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- name: Toys & Games
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dtype: int64
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- name: Watches
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dtype: int64
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- name: categories
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sequence:
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sequence: string
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- name: price
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dtype: float64
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- name: related
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struct:
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- name: also_bought
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sequence: string
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- name: also_viewed
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sequence: string
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- name: bought_together
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sequence: string
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- name: buy_after_viewing
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sequence: string
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- name: brand
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dtype: string
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- name: docno
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dtype: string
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- name: text
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dtype: string
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- name: __index_level_0__
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dtype: int64
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splits:
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- name: train
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| 97 |
+
num_bytes: 392166466
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| 98 |
+
num_examples: 259204
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| 99 |
+
download_size: 159527036
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| 100 |
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dataset_size: 392166466
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| 101 |
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---
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# Dataset Card for "amazon-text4rec"
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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