datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Full-Ecom-Chatbot-Dataset
E-commerce Chatbot Training Data
A curated, multi-source dataset for training and evaluating e-commerce conversational AI systems. It covers a broad range of customer intents — from product discovery and order management to returns, tool-augmented responses, and RAG-grounded Q&A — across 16+ product domains.
Dataset Summary
Split
Records
Train
35,213
Test
8,818
Total
44,031
The train/test split uses prompt-group-level stratified sampling on source ×… See the full description on the dataset page: https://huggingface.co/datasets/rescommons/Full-Ecom-Chatbot-Dataset.Ecom-Chatbot-Finetuning-Dataset
Ecom Chatbot Finetuning Dataset
A unified instruction-following dataset for fine-tuning e-commerce customer service chatbots. It covers a wide range of real-world retail scenarios — from product discovery and order management to returns, complaints, and account support.
Dataset Summary
Field
Value
Total records
40,098
Language
English
Sources
Amazon Reviews 2023, Amazon Meta 2023, ASOS, Bitext
Response types
Text, Tool Call, Mixed
Difficulty levels
1… See the full description on the dataset page: https://huggingface.co/datasets/rescommons/Ecom-Chatbot-Finetuning-Dataset.health-chatbot
Dataset Card for Dataset Name
Health Question and Answer Clean Dataset
Dataset Details
Dataset Description
This dataset provides a detailed overview of health question & answer pairs. It includes data on health problems and corresponding answers, making it suitable for variable tasks like healthcare chatbot training.
Language(s) (NLP): English
License: Apache-2.0
Dataset Sources [optional]
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/shaneperry0101/health-chatbot.banking-chatbot-enquiriesEcom-Chatbot-Test-Set
Ecom Chatbot Synthetic Test Set
A 2,000-sample fully synthetic test set for evaluating e-commerce chatbot models fine-tuned on
rescommons/Ecom-Chatbot-Finetuning-Dataset.
Designed for zero-contamination evaluation — all products, orders, customer names, and responses
are synthetically generated and do not overlap with the training data.
Dataset Summary
Split
Samples
test
2,000
Group Distribution
Group
Count
Description
A
667… See the full description on the dataset page: https://huggingface.co/datasets/V1rtucious/Ecom-Chatbot-Test-Set.