datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mo-customer-support-tweets-945k
Customer Support on Twitter Dataset 945k
Dataset Description
Context
This dataset provides a large corpus of real-world English conversations between consumers and customer support agents on Twitter, designed to drive innovation in Natural Language Processing (NLP) by providing data that better matches the actual language used in contemporary customer support interactions.
Content
Initially, the data included complex threads of conversations… See the full description on the dataset page: https://huggingface.co/datasets/MohammadOthman/mo-customer-support-tweets-945k.brazilian-customer-service-conversations
Brazilian Customer Service Conversations
Dataset de conversas de atendimento ao cliente em portugues brasileiro (PT-BR).
De um like me apoie em manter esse dataset!
Descricao
Conversas sinteticas de alta qualidade simulando interacoes reais entre clientes e atendentes em diversos setores da economia brasileira. Util para treinar e avaliar modelos de:
Chatbots de atendimento
Classificacao de intencao (intent classification)
Analise de sentimento em conversas
Geracao de… See the full description on the dataset page: https://huggingface.co/datasets/RichardSakaguchiMS/brazilian-customer-service-conversations.customer-service-sft-50k
Customer Service SFT (50K)
50,000 ShareGPT-format customer service conversations across 8 industries and 18 issue types. Each conversation includes a system prompt establishing the agent's role, authority limits, and policy constraints — training models to operate within defined boundaries while resolving issues empathetically and effectively.
Motivation
Customer service is one of the highest-volume LLM deployment contexts. Models need to balance:
Empathy with… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/customer-service-sft-50k.Customer-Churn-Dataset-V2
Customer Churn Conversation Dataset - 500 (Benchmark-Anchored)
Free 500-record sample. Licensed CC BY-NC 4.0. Commercial use requires a license.
The generator is the product
This sample was produced by our synthetic customer-churn dialogue generator. The generator is what we license: it produces a labeled 10,000-record dataset anchored to published subscription-industry benchmarks, with a cleaner and refiner pipeline built in. Real churn conversations are locked… See the full description on the dataset page: https://huggingface.co/datasets/ConsumerDividends/Customer-Churn-Dataset-V2.CustomerPersonas
Synthetic Customer Experience Persona
Overview
The Synthetic Customer Experience Persona Dataset is a large-scale synthetic corpus of customer service personas, designed to aid in the development and evaluation of AI models for customer service applications. Inspired by Tencent AI Labs' Persona Hub, this dataset provides a diverse array of customer profiles across multiple industries.
Dataset Statistics
Total Personas: 250,000
Industries Covered: 6 (Retail… See the full description on the dataset page: https://huggingface.co/datasets/CordwainerSmith/CustomerPersonas.algerian-darija-customer-service-sample
Algerian Darija customer messages — stratified sample
500 spontaneous Algerian Darija messages, written by real customers, drawn from a
first-party corpus of 869,166 customer messages. Every message here is unique
after normalization, de-identified, and typed by a human — nothing elicited, translated, scraped or
generated.
Algerian Darija (ISO 639-3 arq) is spoken by around 45 million people and is one of the worst-covered
varieties in current language models. For scale: PADIC… See the full description on the dataset page: https://huggingface.co/datasets/dzcorpora/algerian-darija-customer-service-sample.CallAgentAI-Hinglish-Customer-Service
CallAgent AI: Hinglish Business Conversations Dataset
This dataset contains synthetic, high-quality "Hinglish" (Hindi + English code-switching) customer service interactions. It was generated by CallAgent AI (callagentai.in) — India's leading AI voice receptionist platform designed specifically for Indian SMBs.
Why this dataset exists
Global voice AI models often fail to capture the unique nuances of Indian business calls, which heavily rely on fluid language… See the full description on the dataset page: https://huggingface.co/datasets/Ghanashyaam/CallAgentAI-Hinglish-Customer-Service.Customer-service-tickets-qwen-qa
Customer Support Tickets QA (English) — Qwen SFT Dataset
This dataset is formatted for supervised fine-tuning (SFT) of Qwen-style chat models on customer support email tasks. source dataset: Tobi-Bueck/customer-support-tickets
It is designed for training models to read a customer ticket, understand its context, and generate an appropriate support response. Depending on the prompt design, the same data can also support auxiliary tasks such as queue prediction, priority prediction… See the full description on the dataset page: https://huggingface.co/datasets/W-L/Customer-service-tickets-qwen-qa.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.customer-support-dpo-100k
Customer Support DPO 100K
A synthetic Direct Preference Optimization (DPO) dataset of 100,000 customer support interactions with chosen (high-quality) and rejected (poor-quality) response pairs. Designed to train AI models to provide genuinely helpful, specific, and empathetic customer support.
Dataset Description
This dataset covers 23 real-world customer support scenarios across B2B and B2C contexts. Each record includes a customer message, a high-quality chosen… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/customer-support-dpo-100k.kazakh-customer-support-qa
Dataset Card for kazakh-customer-support-qa
Maintained by: Mäñgi ÜTM (mangi-llm)
Dataset Summary
kazakh-customer-support-qa is a small, hand-curated question–answer dataset in the Kazakh language, built to represent realistic customer-support conversations across several industries (banking, telecom, retail/service centers, sales, and general support). Each record pairs a short customer question with a concise, policy-safe answer, and many answers include… See the full description on the dataset page: https://huggingface.co/datasets/mangi-llm/kazakh-customer-support-qa.spotless-customer-service-training
Spotless Bin Co Customer Service Training Data
Training data for a customer service AI model for Spotless Bin Co, a residential trash can cleaning service.
Dataset Description
This dataset contains 8,776 conversational examples across 5 categories:
Category
Count
Description
FAQs
1,951
Frequently asked questions
Service
1,925
Service explanation dialogues
Objections
1,925
Objection handling examples
Booking
1,975
Booking flow conversations
Brand
1,000… See the full description on the dataset page: https://huggingface.co/datasets/rileyseaburg/spotless-customer-service-training.synth-customer-support-expanded-R
Expanded E-Commerce & Subscription Customer Support Dataset
Dataset Summary
This high-quality synthetic dataset contains 438 realistic customer support interactions focused on e-commerce, shipping, delivery, and subscription management. It was created to provide edge-case scenarios and varied support policies (like Hazmat battery returns, subscription cancellations, tracking loops, and incorrect SKU deliveries).
This dataset is ideal for Supervised Fine-Tuning (SFT) or… See the full description on the dataset page: https://huggingface.co/datasets/KazKozDev/synth-customer-support-expanded-R.agentic-customer-support-india
Agentic Customer Support Dataset (India E-Commerce)
An annotated customer-support query dataset for the Indian e-commerce domain, built to
train and evaluate the Agentic Customer Support System (CPG 289, Thapar Institute of
Engineering and Technology) — a multi-agent, hybrid-retrieval support architecture with a
LoRA fine-tuned Llama 3 8B language model.
Dataset Summary
150 customer support queries, each labelled with intent (6 categories), sentiment
(3 classes)… See the full description on the dataset page: https://huggingface.co/datasets/Aditvir/agentic-customer-support-india.llm_filtered_customer_service_conversations
LLM-filtered Customer Service Conversations Dataset
Overview
This dataset contains simulated conversations generated by our agentic simulation system.
The conversations are filtered by a LLM to ensure they are of high quality.
Each record is stored in JSON Lines (JSONL) format and includes:
Input Settings: Metadata such as selected bank, customer, agent profiles, and task details.
Messages: The full conversation messages.
Summary: A German summary of the conversation.… See the full description on the dataset page: https://huggingface.co/datasets/marccgrau/llm_filtered_customer_service_conversations.customer_service_dataset
GTBank Customer Service – Synthetic Dataset
Overview
This dataset contains 500 synthetic user_query / assistant_reply pairs modeled on common GTBank (Guaranty Trust Bank) retail banking customer support interactions, such as password resets, debit card activation, failed transactions, and KYC/transfer limits. It is entirely synthetic — no real customer data, transcripts, or GTBank systems were used — and is intended for prototyping and testing customer-support NLP… See the full description on the dataset page: https://huggingface.co/datasets/Ephraimmm/customer_service_dataset.customer-support-synth-quickdemo
expanded_E-commerce_and_SaaS_customer_support_(orders,_shipping,_billing,_subscriptions,_app_troubleshooting)
Synthetic customer-support dataset generated with synth-dataset-kit.
What Is Included
train.jsonl: training split in JSONL chat format
eval_summary.json: minimal evaluation and generation summary
expanded_E-commerce_and_SaaS_customer_support_(orders,_shipping,_billing,_subscriptions,_app_troubleshooting)_quality_report.html: visual quality report… See the full description on the dataset page: https://huggingface.co/datasets/Enkiboy/customer-support-synth-quickdemo.mo-customer-support-tweets-945k
Customer Support on Twitter Dataset 945k
Dataset Description
Context
This dataset provides a large corpus of real-world English conversations between consumers and customer support agents on Twitter, designed to drive innovation in Natural Language Processing (NLP) by providing data that better matches the actual language used in contemporary customer support interactions.
Content
Initially, the data included complex threads of conversations… See the full description on the dataset page: https://huggingface.co/datasets/shaikayub/mo-customer-support-tweets-945k.Multilingual-Nepali-Customer-Care-Services-Datasetllm_filtered_customer_service_conversations_cleaned
LLM-filtered Customer Service Conversations Dataset (cleaned)
Overview
This dataset contains simulated conversations generated by our agentic simulation system.
The conversations are filtered by a LLM to ensure they are of high quality.
Each record is stored in JSON Lines (JSONL) format and includes:
Input Settings: Metadata such as selected bank, customer, agent profiles, and task details.
Messages: The full conversation messages.
Summary: A German summary of the… See the full description on the dataset page: https://huggingface.co/datasets/marccgrau/llm_filtered_customer_service_conversations_cleaned.Customer-Care-Services-Dataset-in-Nepalitelecom-customer-support-synthetic-replicas
Customer Support Differentially Private Synthetic Conversations Dataset
This dataset contains pairs of customer support conversations: original conversations and their synthetic counterparts generated with differential privacy (DP) guarantees (ε=8.0, δ=1e-5). The conversations cover technical support topics related to performance and speed concerns in mobile devices.
Dataset Description
Overview
The Customer Support Differentially Private Synthetic… See the full description on the dataset page: https://huggingface.co/datasets/Ming-secludy/telecom-customer-support-synthetic-replicas.mo-customer-support-tweets-945k
Customer Support on Twitter Dataset 945k
Dataset Description
Context
This dataset provides a large corpus of real-world English conversations between consumers and customer support agents on Twitter, designed to drive innovation in Natural Language Processing (NLP) by providing data that better matches the actual language used in contemporary customer support interactions.
Content
Initially, the data included complex threads of conversations… See the full description on the dataset page: https://huggingface.co/datasets/Prady06/mo-customer-support-tweets-945k.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.