datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
womens-clothing-ecommerce-reviews
Dataset Card for "womens-clothing-ecommerce-reviews"
Processed version of this dataset.
ECommerce-Women-Clothing-ReviewsWomens_Clothing_E-Commerce_ReviewsBitext-retail-ecommerce-llm-chatbot-training-dataset
Bitext - Retail (eCommerce) Tagged Training Dataset for LLM-based Virtual Assistants
Overview
This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [Retail (eCommerce)] sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-retail-ecommerce-llm-chatbot-training-dataset.Ecommerce_textbangla-english-and-code-mixed-ecommerce-review-dataset
BanglishRev: A Large-Scale Bangla-English and Code-mixed Dataset of Product Reviews in E-Commerce
Description
The BanglishRev dataset is the largest e-commerce product review dataset to date for reviews written in Bengali, English, a mixture of both and Banglish, Bengali words written with English alphabets. The dataset comprises of 1.74 million written reviews from 3.2 million ratings information collected from a total of 128k products being sold in online… See the full description on the dataset page: https://huggingface.co/datasets/BanglishRev/bangla-english-and-code-mixed-ecommerce-review-dataset.kindred-ecommerce-merchant-deals-dataset
Kindred E-commerce Merchant Deals Dataset
AI-ready catalogue of deals and offers for global retail brands.Structured in CSV and JSONL, validated against JSON Schema.
Train-ready catalogue of promotions, ready for RAG, embeddings, or classic search.
Dataset Overview
File
Rows
Description
data/csv/brands.csv or data/jsonl/brands.jsonl
~90K
E-Commerce Merchant metadata, Logo URL, and domains… See the full description on the dataset page: https://huggingface.co/datasets/kindred-soul-ltd/kindred-ecommerce-merchant-deals-dataset.Ecommerce_DatasetPart2zenodo-ecommerce-text
E-commerce Text Classification (wide-row repack)
Repack of Zenodo record 10.5281/zenodo.3355823 (Saurabh Gautam, CC-BY-4.0) into a single wide parquet with ZStandard level 9 compression.
Schema: one row per product, three columns — row_id (int64), category (string: Household, Books, Electronics, Clothing & Accessories), description (string).
50,424 rows retained. 1 upstream row dropped for null description.
Source DOI: 10.5281/zenodo.3355823. See CITATION.cff.
ecommerce-product-classification-by-categories
🛍️ E-Commerce Product Classification Dataset
Dataset Description
This dataset contains 31,851 realistic English product descriptions across 33 e-commerce categories, designed for training product classification models.
Key Features
✅ 31,851 samples with natural language variations
✅ 33 product categories covering major e-commerce segments
✅ 4 seller personas: Professional, Individual, Reseller, Minimal
✅ Realistic noise: Typos, abbreviations, casual language… See the full description on the dataset page: https://huggingface.co/datasets/Lezh1n/ecommerce-product-classification-by-categories.Olist_Ecommerce_DatasetAgiBotWorld-Beta_G1_task_380_Packaging_in_E-commerce
agibot_task_380
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 电子商务中的包装part_2
total_episodes: 815
total_tasks: 1
size: 76G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_380_Packaging_in_E-commerce.AgiBotWorld-Beta_G1_task_377_Packaging_in_E-commerce
agibot_task_377
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 电子商务中的包装part_1
total_episodes: 794
total_tasks: 1
size: 63G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_377_Packaging_in_E-commerce.marqo-general-ecommerce-evalolist-ecommerce-for-delivery-and-review-prediction
E-Commerce Analytics for Delivery and Review Prediction
This dataset was created for a datathon project. It's a cleaned and feature-engineered version of the public Olist Brazilian E-commerce dataset, specifically prepared to predict shipping delays and customer review scores.
Project Goals
Our project focuses on two key business problems:
Model 1 (Regression): Can we predict how delayed a shipment will be? This helps manage customer expectations proactively.
Model 2… See the full description on the dataset page: https://huggingface.co/datasets/miminmoons/olist-ecommerce-for-delivery-and-review-prediction.eCommerce_Dataai-generated-ecommerce-images
AI-Generated E-Commerce Images
Overview
This dataset contains 6,031 AI-generated images depicting common e-commerce
after-sales scenarios across 12 categories. The dataset also ships with
companion annotations (annotations_ai.jsonl) describing each image in
chat-completion format.
Dataset Structure
Category
Description
damaged_electronics
Damaged electronics (keyboards, laptops, headphones, etc.)
damaged_phone_screen
Smartphones with cracked or… See the full description on the dataset page: https://huggingface.co/datasets/prajwalkothwal/ai-generated-ecommerce-images.Ecommerceecommerce-datasetecommerce-behavior-data-from-multi-category-store_oct-nov_2019
eCommerce Behavior Data from Multi-Category Store
About the Dataset
This dataset contains behavioral data for 285 million user events from a large multi-category eCommerce store. The data spans 7 months (October 2019 - April 2020) and records various user interactions with products.
Dataset Overview
Time Frame: October 2019 - April 2020
Total Events: 285 million
Event Granularity: Each row represents an event associated with a product and a user.
Data Source:… See the full description on the dataset page: https://huggingface.co/datasets/kevykibbz/ecommerce-behavior-data-from-multi-category-store_oct-nov_2019.Ecommerce_Datasetecommerce-user-behavior-dataEcommerce_data.csvE-commerceai-generated-ecommerce-images
AI-Generated E-Commerce Images
Overview
This dataset contains 6,031 AI-generated images depicting common e-commerce
after-sales scenarios across 12 categories. The dataset also ships with
companion annotations (annotations_ai.jsonl) describing each image in
chat-completion format.
Dataset Structure
Category
Description
damaged_electronics
Damaged electronics (keyboards, laptops, headphones, etc.)
damaged_phone_screen
Smartphones with cracked or… See the full description on the dataset page: https://huggingface.co/datasets/JoyCN/ai-generated-ecommerce-images.omnimcp_ecommerce_saas_village_teaser
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This repository now contains a zero-dependency, turnkey Model Context Protocol… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_ecommerce_saas_village_teaser.ecommerce_products_cliphm_ecommerce_products
H&M Personalized Fashion Recommendations - Enhanced Dataset
Dataset Description
This dataset is a processed and enhanced version of the H&M Personalized Fashion Recommendations Kaggle competition dataset. The original dataset has been cleaned and augmented with pre-computed embeddings and accessible image URLs to facilitate fashion recommendation research and multimodal retrieval applications.
Dataset Summary
The H&M dataset contains rich product metadata… See the full description on the dataset page: https://huggingface.co/datasets/Qdrant/hm_ecommerce_products.e-commerce-customer-support-qa
Dataset Card for Dataset Name
from: NebulaByte/E-Commerce_Customer_Support_Conversations
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information… See the full description on the dataset page: https://huggingface.co/datasets/rjac/e-commerce-customer-support-qa.ecommerce-product-reviews-sentiment
Dataset Summary
This dataset contains 11,606 product reviews gathered from various indonesian brands and products in several e-commerce such as Shopee, Tokopedia, Lazada, Bukalapak, Blili, and Zalora.
each row is marked as 1 for positive sentiment and 0 for negative sentiment.
This dataset has been transformed, selecting in a random way a subset of them, applying a cleaning process, and dividing them between the test and train subsets, keeping a balance between the number of… See the full description on the dataset page: https://huggingface.co/datasets/dipawidia/ecommerce-product-reviews-sentiment.