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