|
|
--- |
|
|
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-* |
|
|
--- |
|
|
|
