datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.sea-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.Devanagari-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.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.sea-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.ecommerce-product-descriptions-v1
E-Commerce Product Descriptions Dataset
This dataset contains 150 high-quality synthetic product descriptions across multiple e-commerce categories including earbuds, smartwatches, and laptops.
Dataset Structure
Each entry follows the Alpaca-style instruction format:
: Task description
cmd: Failure calling service input: Failed transaction (2147483646): Context/brand features
: Generated product description
: Product category
: Uniqueness ratio (0.7 - 0.99)… See the full description on the dataset page: https://huggingface.co/datasets/Rahul5262/ecommerce-product-descriptions-v1.