datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
saas-sales-conversations
saas-sales-conversations
Dataset Description
This is a synthetic dataset of sales conversations for SaaS (Software as a Service) companies, designed for training sales conversion prediction models. The dataset was created following the methodology presented in "SalesRLAgent: A Reinforcement Learning Approach for Real-Time Sales Conversion Prediction and Optimization" (Nandakishor M, 2025).
The dataset contains realistic dialogues between sales representatives and… See the full description on the dataset page: https://huggingface.co/datasets/DeepMostInnovations/saas-sales-conversations.Patient-Doctor-ConversationHinglish-Everyday-Conversations-1M
Dataset Card for Hinglish Everyday Conversations Dataset
A synthetically created Hinglish-based dataset of 2 columns where every row represents a unique conversation between 2 people in Hinglish about Everyday Life Topics.
Use Model
Access the model made using this dataset: Tiny-Hinglish-Chat-21M
For more information about this model, its training process, or related resources, you can check the GitHub repository Tiny-Hinglish-Chat-21M-Scripts.
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/Abhishekcr448/Hinglish-Everyday-Conversations-1M.casual-conversationmulti-agent-scam-conversation
Synthetic Multi-Turn Scam and Non-Scam Phone Conversation Dataset with Agentic Personalities
Dataset Description
The Synthetic Multi-Turn Scam and Non-Scam Phone Dialogue Dataset with Agentic Personalities is an enhanced collection of simulated phone conversations between two AI agents, one acting as a scammer or non-scammer and the other as an innocent receiver. Each dialogue is labeled as either a scam or non-scam interaction. This dataset is designed to help develop… See the full description on the dataset page: https://huggingface.co/datasets/BothBosu/multi-agent-scam-conversation.shakespearean-and-modern-english-conversational-dataset
Dataset Card for Shakespearean and Modern English Conversational Dataset
Dataset Summary
This dataset contains dialog pairs taken from Shakespeare's works - the first dialog is a translated text in modern english, and the second dialog is it's actual response as written in Shakespeare's plays. See the github repo for more details.
banking-conversation-corpus
Banking 300k Dataset Overview
This dataset consists of 300,000 synthetically generated conversations in a customer service setting for the telecom industry. There are two speakers: a customer, and an agent.
telecom-conversation-corpus
Telecom 200k Dataset Overview
This dataset consists of 200,000 synthetically generated conversations in a customer service setting for the telecom industry. There are two speakers: a customer, and an agent.
lmsys_chatbot_arena_conversationsdatasource: https://colab.research.google.com/drive/1KdwokPjirkTmpO_P1WByFNFiqxWQquwH
single-agent-scam-conversations
Synthetic Multi-Turn Scam and Non-Scam Phone Conversation Dataset
Dataset Description
The dataset is designed to help develop and evaluate models for detecting and classifying various types of phone-based scams.
Dataset Structure
The dataset consists of three columns:
dialogue: The transcribed conversation between the caller and receiver.
type: The specific type of scam or non-scam interaction.
labels: A binary label indicating whether the conversation is a… See the full description on the dataset page: https://huggingface.co/datasets/BothBosu/single-agent-scam-conversations.bank-bot-conversationtravel-conversations-finetuning
UltraChat Dataset (HuggingFace)
For prototyping and model training, the project utilized the "UltraChat" dataset available from HuggingFace. This dataset comprises 10 JSONLines files, totaling 1.5 million conversations, each stored as lists of strings. The initial preprocessing involved standardizing the text data by converting it to lowercase, removing punctuation using regular expressions, and applying lemmatization with part-of-speech tagging. These steps ensured uniformity and… See the full description on the dataset page: https://huggingface.co/datasets/soniawmeyer/travel-conversations-finetuning.Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1-prompt-only
Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1-prompt-only.conversational-sarcasm-benchmark
Conversational Sarcasm Benchmark — Audio-Grounded, Metadata-Only
A benchmark of 1,168 conversational sarcasm units drawn from 64 English-language
YouTube videos (predominantly stand-up comedy and comedic conversation). Every unit
pairs a short target utterance with the preceding context that makes its
figurative reading available, and carries a categorical label plus a free-text rationale.
This repository contains no audio. It ships annotations, transcriptions, and the
source… See the full description on the dataset page: https://huggingface.co/datasets/darksyntax0/conversational-sarcasm-benchmark.sales-conversation-llama2pretrain-mental-health-counseling-conversationsConversion of Amod/mental_health_counseling_conversations dataset to be used in pretraining.
Python code used for conversion:
from datasets import load_dataset
import pandas
import re
dataset = load_dataset("Amod/mental_health_counseling_conversations", split="train")
def format(columns):
return re.sub(r'\s+', ' ', columns["Response"]).strip()
text = [format(columns) for columns in dataset]
pandas.DataFrame({"text": list(filter(None, text))}).to_csv("train.csv", index=False)
real-estate-conversationhuman-robot-conversation-korean
Human-Robot Dataset
The dataset comprises 660+ hours of audio recordings across 20,000+ files for human-robot interactions in the Korean language. It captures authentic dialogues between humans and artificial conversational agents, specifically designed for training language models and advancing speech recognition systems.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in robotic systems and conversational AI technologies.… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/human-robot-conversation-korean.chinese_conversation_and_spam
Caution! This dataset contains explicit language and fraud information. Use at your own risk!
For AutoTrain use: please select Text Classification (Binary) as Task.
What is included
conversations in chinese under tag 0
spam conversations under tag1
Where does the data come from
part of the data came from conversations in Chinese Telegram groups
part of them are from logging channels of anti-spam bots
How many data is included
A total of 9.9k… See the full description on the dataset page: https://huggingface.co/datasets/paulkm/chinese_conversation_and_spam.Scammer-ConversationThis dataset are generated by gretelai/tabular-v0
This dataset contains a collection of conversations between scammers, scam baiters, and normal conversations. The purpose of this dataset is to provide a resource for training and evaluating models for scam detection and classification.
human-robot-conversation-korean
Human-Robot Conversation Dataset (Korean) - 660+ Hours
Dataset (Korean) contains 660+ hours of audio featuring dialogues between AI and a human in German across 20,000 recordings. The dataset supports conversational AI, speech recognition, and human-robot interaction research, with short M4A audio files (up to 2 minutes) and structured metadata for model training. - Get the data
Dataset characteristics:
Characteristic
Data
Description
Audio of dialogues between AI… See the full description on the dataset page: https://huggingface.co/datasets/ud-nlp/human-robot-conversation-korean.Synthetic_Therapy_Conversationshuman-robot-conversation-german
Human-Robot Dataset
The dataset comprises 660+ hours of audio recordings across 20,000+ files for human-robot interactions in the German language. It captures authentic dialogues between humans and artificial conversational agents, specifically designed for training language models and advancing speech recognition systems.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in speech recognition, natural language processing, and… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/human-robot-conversation-german.vn-legal-conversationRACE_Conversation_Dataset
Dataset Card for Dataset Name
The dataset in this repository consists of dialogue data obtained during the RACE execution and is released for research purposes only.
The dataset contains unsafe content, so please use it with caution.
Our team is not responsible for any harm caused by anyone using this dataset.
Dataset Details
[03/17/2025] We have uploaded the dialogue dataset from our attack on DeepSeek-R1 during RACE.
To prevent misuse, we have removed the… See the full description on the dataset page: https://huggingface.co/datasets/Zonghao2025/RACE_Conversation_Dataset.mental_health_counseling_conversations-kk
🧠 Dataset Card — Kazakh Mental Health Counseling Conversations
Please ❤️Like❤️ this repo and if you like (and/or use) my work, thank you!
📚 Dataset Description
This dataset contains translated mental health counseling dialogues from English to Kazakh (қазақ тілі). The original source is the mental_health_counseling_conversations dataset by Amod, which has been cleaned and translated using Google Gemini API.
🗃 Dataset Structure
Format: CSV
Fields:… See the full description on the dataset page: https://huggingface.co/datasets/Eraly-ml/mental_health_counseling_conversations-kk.conversational-finetuning-llama-format
Open Paws Conversational Finetuning Llama Format
This dataset is part of the Open Paws initiative to develop AI training data aligned with animal liberation and advocacy principles. Created to train AI systems that understand and promote animal welfare, rights, and liberation.
Dataset Details
Dataset Type: Training Data
Format: CSV (Comma-separated values)
Languages: Multilingual (primarily English)
Focus: Animal advocacy and ethical reasoning
Organization: Open Paws… See the full description on the dataset page: https://huggingface.co/datasets/open-paws/conversational-finetuning-llama-format.Korean-conversational-datasettaiwan-conversation-context-100-domains
Taiwan Conversation Context 100 Domains
Dataset Description
Taiwan Conversation Context 100 Domains 是一套以台灣日常生活情境為核心設計的雙人對話文本資料集。
本資料集包含 100 個生活領域，每個領域各有 12,000 筆對話資料，總計約 1,200,000 筆對話樣本。每筆資料皆為雙人對話格式，包含 [A][B][A][B][A][B][A][B] 共 8 個發言，也就是 4 輪來回對話。
資料以繁體中文撰寫，並針對台灣在地語境設計，適合用於：
語音生成資料前處理
Text-to-Speech, TTS
Spoken Dialogue Generation
Conversational AI
Customer Service Dialogue Modeling
Role-play Dialogue Dataset
台灣繁體中文語音模型訓練
生活情境問答模型訓練
對話式 AI 助理訓練
RAG / Agent 測試資料… See the full description on the dataset page: https://huggingface.co/datasets/Ethan615/taiwan-conversation-context-100-domains.conversational-persian-subtitles
Conversational Persian Subtitles
Dataset name: Conversational Persian SubtitlesCollaboration: Maral Zarvani & Milad Ghashangi AgdamLicense: CC BY 4.0Hugging Face Repo: https://huggingface.co/datasets/Maral/conversational-persian-subtitles
1. Dataset Description
This dataset contains cleaned Persian subtitle lines from a wide variety of Korean TV series and films, each line reflecting informal, conversational dialogue. All markup (square brackets, timecodes,etc.) has… See the full description on the dataset page: https://huggingface.co/datasets/Maral/conversational-persian-subtitles.