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-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_textmarqo-general-ecommerce-evalecommerce-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.olist-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-user-behavior-datahm_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.ecommerce_products_clipecommerce_last_exam
E-Commerce Last Exam
A benchmark for evaluating LLM agents on 120 real-world travel planning and e-commerce tool-use tasks. Each task runs in an isolated Docker container with domain-specific CLI tools and SQLite databases. Agents must search, analyze, and produce structured recommendations.
Repository: alibaba-flyai/ecommerce_last_exam
Evaluation CLI: flyai-bench (pip install flyai-bench)
Leaderboard: FlyaiLab/ecommerce_last_exam_leaderboard
Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/FlyaiLab/ecommerce_last_exam.E-commerce
E-commerce Dataset (AutoGEO)
This is a commercial-domain dataset released with AutoGEO for Generative Engine Optimization (GEO) research.
📄 Paper: "What Generative Search Engines Like and How to Optimize Web Content Cooperatively"👥 Authors: Yujiang Wu*, Shanshan Zhong*, Yubin Kim, Chenyan Xiong (*Equal contribution)🚀 Code: AutoGEO on GitHub
Dataset Configurations
main: Primary train/test data for GEO training and evaluation (~1.6k train / ~400 test)… See the full description on the dataset page: https://huggingface.co/datasets/cx-cmu/E-commerce.e-commerceecommerce-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.zenodo-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.
E-Commerce_Customer_Support_Conversations
Dataset Card for "E-Commerce_Customer_Support_Conversations"
The dataset is synthetically generated with OpenAI ChatGPT model (gpt-3.5-turbo).
More Information needed
e-commerce-orders
E-commerce Customer Order Behavior Dataset
A synthetic e-commerce dataset containing 10,000 orders with realistic customer behavior patterns, suitable for e-commerce analytics and machine learning tasks.
Dataset Card for E-commerce Orders
Dataset Summary
This dataset simulates customer order behavior in an e-commerce platform, containing detailed information about orders, customers, products, and delivery patterns. The data is synthetically generated with… See the full description on the dataset page: https://huggingface.co/datasets/millat/e-commerce-orders.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.synthetic-ecommerce
Synthetic E-Commerce Analytics Dataset
Most analytics demos hand you one clean table and call it a dataset. A real store doesn't work like that. You have customers who arrived through different channels, a product catalogue with prices and costs, orders that get placed and sometimes refunded, the line items inside each order, and a clickstream of everything people did before they bought.
This is all five of those tables, joined the way a real store's data joins. Every row is… See the full description on the dataset page: https://huggingface.co/datasets/LaelaZorana/synthetic-ecommerce.e-commerce-sentiment-bahasa-indonesia
E-Commerce Sentiment Analysis Dataset (Indonesian)
Dataset komentar dan ulasan produk e-commerce dalam Bahasa Indonesia untuk analisis sentiment.
Dataset Summary
Dataset ini berisi 21,840 komentar e-commerce dalam Bahasa Indonesia yang telah dilabeli dengan sentiment (positif, netral, negatif). Dataset mencakup berbagai jenis komentar termasuk sarkasme dan ironi yang umum ditemukan dalam ulasan online.
Dataset Structure
Data Fields… See the full description on the dataset page: https://huggingface.co/datasets/Azzamwsa233/e-commerce-sentiment-bahasa-indonesia.ai-generated-ecommerce-damaged-producteCommerce_Dataai-generated-ecommerce-fake-logisticse-commerce-sentiment-bahasa-indonesia
E-Commerce Sentiment Analysis Dataset (Indonesian)
Dataset komentar dan ulasan produk e-commerce dalam Bahasa Indonesia untuk analisis sentiment.
Dataset Summary
Dataset ini berisi 21,840 komentar e-commerce dalam Bahasa Indonesia yang telah dilabeli dengan sentiment (positif, netral, negatif). Dataset mencakup berbagai jenis komentar termasuk sarkasme dan ironi yang umum ditemukan dalam ulasan online.
Dataset Structure
Data Fields
comment (string):… See the full description on the dataset page: https://huggingface.co/datasets/AIbnuHibban/e-commerce-sentiment-bahasa-indonesia.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.ecommerce-analytics-sql-evaluation
Ecommerce Analytics SQL Evaluation (declared GMV, verified answer key)
An evalpack: an evaluation database generated from the answer key, not
annotated after the fact. A VLDB 2026 audit found 52.8% of BIRD Mini-Dev
answer keys wrong because benchmarks annotate answers onto existing
databases; this dataset inverts the order. The declared properties (curves,
shares, identities) are the specification, the database is generated to
satisfy them exactly, and every shipped question was… See the full description on the dataset page: https://huggingface.co/datasets/rasinmuhammed/ecommerce-analytics-sql-evaluation.e-commerce-sentiment-bahasa-indonesia
E-Commerce Sentiment Analysis Dataset (Indonesian)
Dataset komentar dan ulasan produk e-commerce dalam Bahasa Indonesia untuk analisis sentiment.
Dataset Summary
Dataset ini berisi 21,840 komentar e-commerce dalam Bahasa Indonesia yang telah dilabeli dengan sentiment (positif, netral, negatif). Dataset mencakup berbagai jenis komentar termasuk sarkasme dan ironi yang umum ditemukan dalam ulasan online.
Dataset Structure
Data Fields… See the full description on the dataset page: https://huggingface.co/datasets/ilhamangga/e-commerce-sentiment-bahasa-indonesia.Ecommerce_Datasetecommerce-search-extraction
Ionio E-commerce Search Query Extraction
Built with: simula — schema-driven synthetic data generation with auditable taxonomy lineage.
An English synthetic dataset for training and evaluating systems that translate natural-language
shopping requests into narrow, atomic, database-queryable JSON. It contains 10,985 accepted
examples from a 13,000-attempt generation run. No accepted rows were trimmed from this release.
Each example pairs a realistic typed or spoken shopper query… See the full description on the dataset page: https://huggingface.co/datasets/Ionio-ai/ecommerce-search-extraction.ecommerce-customer-support-conversationsE-Commerce Customer Support Conversations
Dataset Summary:
This dataset contains customer support queries and responses from an e-commerce context.
It is designed for training and fine-tuning AI models for automated customer service, chatbots, and natural language processing (NLP) applications.
Use Cases:
Fine-tuning conversational AI models (e.g., GPT, BERT)
Training chatbots for e-commerce support
Improving customer service automation
Sentiment and intent analysis
Dataset Format:
The… See the full description on the dataset page: https://huggingface.co/datasets/Venkatrajan247/ecommerce-customer-support-conversations.