metadata
dataset_info:
features:
- name: asin
dtype: string
- name: description
dtype: string
- name: title
dtype: string
- name: imUrl
dtype: string
- name: salesRank
struct:
- name: Arts, Crafts & Sewing
dtype: int64
- name: Automotive
dtype: int64
- name: Baby
dtype: int64
- name: Beauty
dtype: int64
- name: Books
dtype: int64
- name: Camera & Photo
dtype: int64
- name: Cell Phones & Accessories
dtype: int64
- name: Clothing
dtype: int64
- name: Computers & Accessories
dtype: int64
- name: Electronics
dtype: int64
- name: Grocery & Gourmet Food
dtype: int64
- name: Health & Personal Care
dtype: int64
- name: Home & Kitchen
dtype: int64
- name: Home Improvement
dtype: int64
- name: Industrial & Scientific
dtype: int64
- name: Jewelry
dtype: int64
- name: Kitchen & Dining
dtype: int64
- name: Magazines
dtype: int64
- name: Movies & TV
dtype: int64
- name: Music
dtype: int64
- name: Musical Instruments
dtype: int64
- name: Office Products
dtype: int64
- name: Patio, Lawn & Garden
dtype: int64
- name: Pet Supplies
dtype: int64
- name: Shoes
dtype: int64
- name: Software
dtype: int64
- name: Sports & Outdoors
dtype: int64
- name: Toys & Games
dtype: int64
- name: Watches
dtype: int64
- name: categories
sequence:
sequence: string
- name: price
dtype: float64
- name: related
struct:
- name: also_bought
sequence: string
- name: also_viewed
sequence: string
- name: bought_together
sequence: string
- name: buy_after_viewing
sequence: string
- name: brand
dtype: string
- name: docno
dtype: string
- name: text
dtype: string
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 392166466
num_examples: 259204
download_size: 159527036
dataset_size: 392166466