Saving dataset dict split by category for testing purpose (part 00000-of-00003)

data/group_adult_diaper-00000-of-00001.parquet

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data/group_adult_milk-00000-of-00001.parquet

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data/group_air_freshener-00000-of-00001.parquet

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data/group_apparel-00000-of-00001.parquet

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data/group_baby_cereal_solid_food-00000-of-00001.parquet

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data/group_baby_diapers-00000-of-00001.parquet

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data/group_baby_kids_cologne-00000-of-00001.parquet

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data/group_baby_kids_hair_treatment-00000-of-00001.parquet

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data/group_baby_kids_lotion-00000-of-00001.parquet

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data/group_baby_kids_oil-00000-of-00001.parquet

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data/group_baby_kids_talcum_powder-00000-of-00001.parquet

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data/group_baby_kids_toothbrush-00000-of-00001.parquet

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data/group_baby_kids_toothpaste-00000-of-00001.parquet

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data/group_baby_milk-00000-of-00001.parquet

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data/group_baby_shampoo-00000-of-00001.parquet

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data/group_baby_soap_bar_and_liquid-00000-of-00001.parquet

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data/group_baby_wipes-00000-of-00001.parquet

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data/group_baking_needs-00000-of-00001.parquet

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data/group_balsam_massage_oil-00000-of-00001.parquet

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data/group_beer-00000-of-00001.parquet

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data/group_biscuit-00000-of-00001.parquet

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data/group_blades_and_razors-00000-of-00001.parquet

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data/group_bleach_stain_remover-00000-of-00001.parquet

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data/group_body_lotion-00000-of-00001.parquet

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data/group_body_soap-00000-of-00001.parquet

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data/group_books_stationery-00000-of-00001.parquet

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data/group_bread-00000-of-00001.parquet

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data/group_bread_spread-00000-of-00001.parquet

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data/group_breakfast_cereal-00000-of-00001.parquet

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data/group_candies-00000-of-00001.parquet

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data/group_canned_fish-00000-of-00001.parquet

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data/group_canned_meat-00000-of-00001.parquet

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data/group_carbonated_soft_drink-00000-of-00001.parquet

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data/group_cereal_drink-00000-of-00001.parquet

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data/group_cheese-00000-of-00001.parquet

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data/group_chilli_sauce-00000-of-00001.parquet

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data/group_chips-00000-of-00001.parquet

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data/group_chocolate-00000-of-00001.parquet

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data/group_chocolate_mix-00000-of-00001.parquet

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data/group_chocolate_rtd-00000-of-00001.parquet

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data/group_cigarettes-00000-of-00001.parquet

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data/group_cleaners_chemical_cleaning-00000-of-00001.parquet

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data/group_coconut_milk-00000-of-00001.parquet

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data/group_coffee-00000-of-00001.parquet

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data/group_coffee_rtd-00000-of-00001.parquet

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data/group_cologne-00000-of-00001.parquet

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data/group_condom-00000-of-00001.parquet

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data/group_cooking_oil-00000-of-00001.parquet

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data/group_cosmetics_eyes-00000-of-00001.parquet

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data/group_cosmetics_face-00000-of-00001.parquet

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