README.md

---
dataset_info:
  features:
  - name: 'Unnamed: 0'
    dtype: int64
  - name: title
    dtype: string
  - name: description
    dtype: string
  - name: source
    dtype: string
  splits:
  - name: All_Beauty
    num_bytes: 17791837
    num_examples: 17505
  - name: Amazon_Fashion
    num_bytes: 60213410
    num_examples: 58251
  - name: Appliances
    num_bytes: 64238748
    num_examples: 59327
  - name: Arts_Crafts_and_Sewing
    num_bytes: 571157817
    num_examples: 533373
  - name: Automotive
    num_bytes: 1377221177
    num_examples: 1288760
  - name: Baby_Products
    num_bytes: 166315209
    num_examples: 125031
  - name: Beauty_and_Personal_Care
    num_bytes: 627606402
    num_examples: 546298
  - name: Beauty
    num_bytes: 17721817
    num_examples: 17505
  - name: Books
    num_bytes: 7134737734
    num_examples: 1839863
  - name: CDs_and_Vinyl
    num_bytes: 318076997
    num_examples: 365609
  - name: Cell_Phones_and_Accessories
    num_bytes: 813960446
    num_examples: 559711
  - name: Clothing_Shoes_and_Jewelry
    num_bytes: 3898423410
    num_examples: 3767896
  - name: Digital_Music
    num_bytes: 12524570
    num_examples: 21104
  - name: Electronics
    num_bytes: 1267026644
    num_examples: 903733
  - name: Gift_Cards
    num_bytes: 619141
    num_examples: 875
  - name: Grocery_and_Gourmet_Food
    num_bytes: 320953421
    num_examples: 356840
  - name: Handmade_Products
    num_bytes: 132907401
    num_examples: 140084
  - name: Health_and_Household
    num_bytes: 548563247
    num_examples: 447537
  - name: Health_and_Personal_Care
    num_bytes: 14494446
    num_examples: 15916
  - name: Home_and_Kitchen
    num_bytes: 2588221821
    num_examples: 2061154
  - name: Industrial_and_Scientific
    num_bytes: 296376109
    num_examples: 277246
  - name: Kindle_Store
    num_bytes: 3040300214
    num_examples: 640495
  - name: Magazine_Subscriptions
    num_bytes: 984038
    num_examples: 1466
  - name: Movies_and_TV
    num_bytes: 269916209
    num_examples: 315826
  - name: Musical_Instruments
    num_bytes: 166455173
    num_examples: 148331
  - name: Office_Products
    num_bytes: 483402262
    num_examples: 412148
  - name: Patio_Lawn_and_Garden
    num_bytes: 618599803
    num_examples: 510441
  - name: Pet_Supplies
    num_bytes: 347260904
    num_examples: 272813
  - name: Software
    num_bytes: 134722910
    num_examples: 84458
  - name: Sports_and_Outdoors
    num_bytes: 1028070331
    num_examples: 1015005
  - name: Tools_and_Home_Improvement
    num_bytes: 1021108236
    num_examples: 873779
  - name: Toys_and_Games
    num_bytes: 608681151
    num_examples: 561256
  - name: Unknown
    num_bytes: 70805162
    num_examples: 81824
  - name: Video_Games
    num_bytes: 118078175
    num_examples: 81428
  download_size: 16620508189
  dataset_size: 28157536372
configs:
- config_name: default
  data_files:
  - split: All_Beauty
    path: data/All_Beauty-*
  - split: Amazon_Fashion
    path: data/Amazon_Fashion-*
  - split: Appliances
    path: data/Appliances-*
  - split: Arts_Crafts_and_Sewing
    path: data/Arts_Crafts_and_Sewing-*
  - split: Automotive
    path: data/Automotive-*
  - split: Baby_Products
    path: data/Baby_Products-*
  - split: Beauty_and_Personal_Care
    path: data/Beauty_and_Personal_Care-*
  - split: Beauty
    path: data/Beauty-*
  - split: Books
    path: data/Books-*
  - split: CDs_and_Vinyl
    path: data/CDs_and_Vinyl-*
  - split: Cell_Phones_and_Accessories
    path: data/Cell_Phones_and_Accessories-*
  - split: Clothing_Shoes_and_Jewelry
    path: data/Clothing_Shoes_and_Jewelry-*
  - split: Digital_Music
    path: data/Digital_Music-*
  - split: Electronics
    path: data/Electronics-*
  - split: Gift_Cards
    path: data/Gift_Cards-*
  - split: Grocery_and_Gourmet_Food
    path: data/Grocery_and_Gourmet_Food-*
  - split: Handmade_Products
    path: data/Handmade_Products-*
  - split: Health_and_Household
    path: data/Health_and_Household-*
  - split: Health_and_Personal_Care
    path: data/Health_and_Personal_Care-*
  - split: Home_and_Kitchen
    path: data/Home_and_Kitchen-*
  - split: Industrial_and_Scientific
    path: data/Industrial_and_Scientific-*
  - split: Kindle_Store
    path: data/Kindle_Store-*
  - split: Magazine_Subscriptions
    path: data/Magazine_Subscriptions-*
  - split: Movies_and_TV
    path: data/Movies_and_TV-*
  - split: Musical_Instruments
    path: data/Musical_Instruments-*
  - split: Office_Products
    path: data/Office_Products-*
  - split: Patio_Lawn_and_Garden
    path: data/Patio_Lawn_and_Garden-*
  - split: Pet_Supplies
    path: data/Pet_Supplies-*
  - split: Software
    path: data/Software-*
  - split: Sports_and_Outdoors
    path: data/Sports_and_Outdoors-*
  - split: Tools_and_Home_Improvement
    path: data/Tools_and_Home_Improvement-*
  - split: Toys_and_Games
    path: data/Toys_and_Games-*
  - split: Unknown
    path: data/Unknown-*
  - split: Video_Games
    path: data/Video_Games-*
---