datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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
comment (string):… See the full description on the dataset page: https://huggingface.co/datasets/AIbnuHibban/e-commerce-sentiment-bahasa-indonesia.Ecommerce_FAQEcommerce FAQ Chatbot Dataset
Overview
The Ecommerce FAQ Chatbot Dataset is a valuable collection of questions and corresponding answers, meticulously curated for training and evaluating chatbot models in the context of an Ecommerce environment. This dataset is designed to assist developers, researchers, and data scientists in building effective chatbots that can handle customer inquiries related to an Ecommerce platform.
Contents
The dataset comprises a total of 79 question-answer pairs… See the full description on the dataset page: https://huggingface.co/datasets/Andyrasika/Ecommerce_FAQ.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.MM-Bench-E-CommerceThis is the HuggingFace repository of the paper named MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding in WSDM 2026 (oral).
In this paper, we argue that generative Multimodal Large Language Models (MLLMs) hold significant potential for improving product representation learning.
We propose the first generative MLLM-based model named MOON for product representation learning.
Furthermore, we contruct and publish a large-scale real-world… See the full description on the dataset page: https://huggingface.co/datasets/Daoze/MM-Bench-E-Commerce.ecommerce-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.synthetic-ecommerce-support-intents
Synthetic Ecommerce Support Intents
A small multilingual dataset of entirely synthetic ecommerce support messages for teaching, prototyping, and evaluating intent-classification workflows. It contains no real customer messages or personal data.
Dataset Description
The dataset covers five common support-routing intents in English, French, and Spanish. It is designed as a transparent educational baseline, not as a production-ready benchmark.
Intent
Expected… See the full description on the dataset page: https://huggingface.co/datasets/neurocheckout-ai/synthetic-ecommerce-support-intents.Sora-Ecommerce-Guide
Sora Ecommerce Guide Dataset
This dataset contains comprehensive documentation, user guides, admin operating procedures, and system flow architectures for the Sora Ecommerce platform, structured in flat instruction/input/output format matching standard fine-tuning benchmarks.
Splits
train: 9 samples
test: 2 samples
Features
instruction: System/task instruction context.
input: The prompt, question, or user query.
output: Complete step-by-step… See the full description on the dataset page: https://huggingface.co/datasets/HeinKoZin/Sora-Ecommerce-Guide.Vietnamese-Ecommerce-Multi-turn-Chatsea-ecommerce-customer-support-sample
SEA Multilingual E-commerce Customer Support Sample
This public sample contains 1,000 synthetic, AI-generated customer-support
conversations for Southeast Asian e-commerce scenarios.
Languages
English
Chinese
Malay
Indonesian
Formats
CSV
JSONL
Intended Use
Use this sample for inspection, evaluation, prototyping, multilingual testing,
and intent-classification experiments.
Important Limitations
This is synthetic… See the full description on the dataset page: https://huggingface.co/datasets/nwchang/sea-ecommerce-customer-support-sample.ecommerce-intent-evalecommerce-intent-6kturkish-ecommerce-ner-dataset
🛒 Natural Turkish E-Commerce NER Dataset (1700 Samples)
Bu veriseti, NVIDIA NeMo Data Designer ve Hugging Face Inference Provider (deepseek-ai/DeepSeek-V4-Flash:fireworks-ai) kullanılarak üretilmiş sentetik ve yüksek kaliteli doğal Türkçe e-ticaret ürün adları ile Named Entity Recognition (NER) etiketlerini içermektedir.
📊 Veriseti Özeti
Toplam Kayıt Sayısı: 1700 adet
Dil: Türkçe (TR)
Kategoriler: Ayakkabı, Çanta, Giyim, Aksesuar, Elektronik, Ev & Mutfak… See the full description on the dataset page: https://huggingface.co/datasets/gururaser/turkish-ecommerce-ner-dataset.Vietnamese-Ecommerce-Alpacaecommerce-intent-routingDevanagari-Ecommerce-fomatted-for-llama2-chat-Dataset
Dataset Card for Dataset Name
यो देवनागरी नेपाली भाषाको डेटासेट विशेषगरी च्याटबोट प्रणालीहरू बनाउनको लागि डिजाइन गरिएको हो। यसमा विभिन्न श्रेणीहरूको डेटासेटहरू समावेश गरिएको छ, जसलाई JSON मा ढाँचा बनाईएको छ, जसले नेपाली वार्तालाप एआई अनुप्रयोगहरूको लागि भाषा मोडेलहरूलाई तालिम र फाइन-ट्यून गर्नको लागि व्यापक स्रोत प्रदान गर्दछ।
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/kshitizgajurel/Devanagari-Ecommerce-fomatted-for-llama2-chat-Dataset.ecommerce-ux-monthly-sa-eg
Ecommerce UX Monthly — South Africa & Egypt (SA-EG)
Monthly tracking dataset of e-commerce user-experience (UX) feedback collected from a
small panel of online retail shoppers in South Africa and Egypt. This repository
is maintained as an academic research resource for studying e-commerce retail UX across
African markets, with one dataset file per calendar month under data/YYYY-MM/.
Data Collection
Region: Africa — South Africa & Egypt
Cities: Johannesburg, Cape… See the full description on the dataset page: https://huggingface.co/datasets/toolathon123/ecommerce-ux-monthly-sa-eg.Devanagari-Ecommerce-Dataset
Dataset Card for Dataset Name
यो देवनागरी नेपाली भाषाको डेटासेट विशेषगरी च्याटबोट प्रणालीहरू बनाउनको लागि डिजाइन गरिएको हो। यसमा विभिन्न श्रेणीहरूको डेटासेटहरू समावेश गरिएको छ, जसलाई JSON मा ढाँचा बनाईएको छ, जसले नेपाली वार्तालाप एआई अनुप्रयोगहरूको लागि भाषा मोडेलहरूलाई तालिम र फाइन-ट्यून गर्नको लागि व्यापक स्रोत प्रदान गर्दछ।
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Prepared by:
Aakash… See the full description on the dataset page: https://huggingface.co/datasets/kshitizgajurel/Devanagari-Ecommerce-Dataset.ecommerce-chatbot-datasetadaption-vn-ecommerce-safety-refusals
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-vn_ecommerce_safety_refusals
This dataset contains Vietnamese prompt-completion pairs focused on e-commerce customer support scenarios for platforms like Shopee and TikTok Shop. The samples demonstrate the model's ability to refuse harmful requests involving fraud, policy violations, and social engineering while providing helpful, policy-compliant alternatives. Key topics include… See the full description on the dataset page: https://huggingface.co/datasets/trngmtam/adaption-vn-ecommerce-safety-refusals.turkish-ecommerce-ner-dataset
🛒 Natural Turkish E-Commerce NER Dataset (1700 Samples)
Bu veriseti, NVIDIA NeMo Data Designer ve Hugging Face Inference Provider (deepseek-ai/DeepSeek-V4-Flash:fireworks-ai) kullanılarak üretilmiş sentetik ve yüksek kaliteli doğal Türkçe e-ticaret ürün adları ile Named Entity Recognition (NER) etiketlerini içermektedir.
📊 Veriseti Özeti
Toplam Kayıt Sayısı: 1700 adet
Dil: Türkçe (TR)
Kategoriler: Ayakkabı, Çanta, Giyim, Aksesuar, Elektronik, Ev & Mutfak… See the full description on the dataset page: https://huggingface.co/datasets/cerenn52/turkish-ecommerce-ner-dataset.ecommerce-reviews-datasetdefendable-pain-ecommerce-fraud-pain-v0.1
Pain Receipt · Ecommerce Fraud Pain
"To the shed." — Mr. Defendable
9 pain receipts themed ecommerce-fraud-pain. Free · CC-BY-4.0 · part of the SwarmandBee 100-pack.
Books and records. No proof, no honey. 🐝
Contact: build@swarmandbee.ai · GitHub · X
ecommerce-ops-resultsecommerce-customer-support
E-commerce Customer Support Dataset 🛒
This dataset contains high-quality e-commerce customer support queries, intents, and responses designed for fine-tuning AI models and customer service chatbots.
📌 Dataset Overview
Domain: E-commerce / Online Retail
Task: Customer Support Automation & Intent Classification
Format: JSON / JSONL
🚀 Features
Cleaned and structured data
Covers order tracking, returns, payment queries, and general support
Ready… See the full description on the dataset page: https://huggingface.co/datasets/muhammadumar009/ecommerce-customer-support.crawled-ecommerceThis contains crawled ecommerce data from Common Crawl
ecommerce-reviews-multilabel-dataset
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [Fahrendra K I]
Language(s) (NLP): [More Information Needed]
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]: [More Information Needed]
Demo [optional]: [More Information Needed]
Uses
Direct Use… See the full description on the dataset page: https://huggingface.co/datasets/fahrendrakhoirul/ecommerce-reviews-multilabel-dataset.ecommerce-intent-3ksea-ecommerce-customer-support-sample
SEA Multilingual E-commerce Customer Support Sample
This public sample contains 1,000 synthetic, AI-generated customer-support
conversations for Southeast Asian e-commerce scenarios.
Languages
English
Chinese
Malay
Indonesian
Formats
CSV
JSONL
Intended Use
Use this sample for inspection, evaluation, prototyping, multilingual testing,
and intent-classification experiments.
Important Limitations
This is synthetic… See the full description on the dataset page: https://huggingface.co/datasets/dinesshxryu/sea-ecommerce-customer-support-sample.ecommerce-production-incident-postmortems
Autonomous E-Commerce Production Incident Post-Mortems (NexusOS v2.0)
Dataset Summary
This repository contains high-fidelity, meticulously graded post-mortem diagnostic samples mapping real-world infrastructure failures in e-commerce ecosystems (WordPress, WooCommerce, and core transaction layers) directly to expert root-cause analyses and isolated code execution patches.
The data is structured into optimized binary Parquet formats, making it immediately ready for… See the full description on the dataset page: https://huggingface.co/datasets/Amman-shah/ecommerce-production-incident-postmortems.