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chibifire/kaggle-womens-ecom-clothing-reviews

Women's Clothing E-Commerce Reviews (wide-row repack) Repack of Kaggle dataset nicapotato/womens-ecommerce-clothing-reviews (CC0-1.0) into a single wide parquet with ZStandard level 9 compression. Schema: one row per review — row_id (int64), clothing_id (int32), age (int32), rating (int8), recommended_ind (int8), positive_feedback_count (int32), title (string, nullable), review_text (string, nullable), division_name (string, nullable), department_name (string, nullable)… See the full description on the dataset page: https://huggingface.co/datasets/chibifire/kaggle-womens-ecom-clothing-reviews.

sourceHugging Facecc0-1.0updated 24d agoView on Hugging Face
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Women's Clothing E-Commerce Reviews (wide-row repack)

Repack of Kaggle dataset nicapotato/womens-ecommerce-clothing-reviews (CC0-1.0) into a single wide parquet with ZStandard level 9 compression.

Schema: one row per review — row_id (int64), clothing_id (int32), age (int32), rating (int8), recommended_ind (int8), positive_feedback_count (int32), title (string, nullable), review_text (string, nullable), division_name (string, nullable), department_name (string, nullable), class_name (string, nullable).

23,486 rows. Nullable columns carry NULL where the upstream row had no value (3,810 without title, 845 without review body, 14 without taxonomy).

Source: https://www.kaggle.com/datasets/nicapotato/womens-ecommerce-clothing-reviews. See CITATION.cff.