datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
russian_dialogues_2
Den4ikAI/russian_dialogues_2
Датасет русских диалогов для обучения диалоговых моделей.
Количество диалогов - 1.6 миллиона
Формат датасета:
{
'sample': ['Привет', 'Привет', 'Как дела?']
}
Citation:
@MISC{russian_instructions,
author = {Denis Petrov},
title = {Russian context dialogues dataset for conversational agents},
url = {https://huggingface.co/datasets/Den4ikAI/russian_dialogues_2},
year = 2023
}
turkish-daily-dialogues-5k
Turkish Daily Dialogues 5K
Exactly 5,000 synthetic, multi-turn Turkish conversations covering ordinary daily-life situations. The corpus is designed as a small, auditable baseline for dialogue modelling, instruction-format experiments, augmentation research, and Turkish-language evaluation—not as a substitute for conversations written by real people.
Provenance in one sentence: the Turkish source scenario library was drafted with AI assistance specifically for this project… See the full description on the dataset page: https://huggingface.co/datasets/3nesdeniz/turkish-daily-dialogues-5k.Question-Anchored-Tutoring-Dialogues-2k
Question-Anchored-Tutoring-Dialogues-2k
This dataset contains dialogues from math tutoring interventions recorded on Eedi.
Dataset Details
Dataset Description
Each dialogue represents a chat-based conversation between a tutor and a student prompted by the student requesting assistance while working on a lesson. Dialogues are accompanied with 2 sources of meta-data:
DQ-Question-Metadata: The question the student was working on that prompted the tutoring… See the full description on the dataset page: https://huggingface.co/datasets/Eedi/Question-Anchored-Tutoring-Dialogues-2k.empathetic_dialogues_llm
Empathetic Dialogues for LLM
This repository contains a reformatted version of the Empathetic Dialogues dataset, tailored for seamless integration with Language Model (LLM) training and inference. The original dataset's format posed challenges for direct application in LLM tasks, prompting us to restructure and clean the data.
Data Restructuring
We have implemented the following changes to enhance the dataset's usability:
Merged dialogues with the same conv_id… See the full description on the dataset page: https://huggingface.co/datasets/Estwld/empathetic_dialogues_llm.knowchat-multi-turn-dialogues
KnowChat: Multi-Turn Human-LLM Dialogues on Knowledge Tasks
KnowChat is a dataset of 705 multi-turn human-LLM conversations collected to validate the KnowSim user simulation framework. It pairs each conversation with pre/post knowledge assessments, self-reported survey ratings, and participant background information, enabling research on information calibration -- how well LLM assistants tailor responses to users with different knowledge levels.
Dataset Summary… See the full description on the dataset page: https://huggingface.co/datasets/yjlee36/knowchat-multi-turn-dialogues.kapibala-sales-dialogues
Kapibala Sales Dialogues
A sales-conversation dataset with outcome, conversation-level and sentence-level labels
🤗 Hugging Face · Annotation details · 中文
630 synthetic sales conversations (11,688 messages, Chinese and English, five domains) between an LLM-simulated customer and an AI salesperson. Every conversation carries three layers of labels, each produced by a single method across the whole dataset:
L1 — outcome. Did the customer buy, agree to a next step, stay undecided… See the full description on the dataset page: https://huggingface.co/datasets/Thomasgudan/kapibala-sales-dialogues.danish-tool-dialogues-v9
danish-tool-dialogues-v1
Danish multi-turn tool-use conversations with reasoning, translated from the
Glaive subset of
Nanbeige/ToolMind
(Apache-2.0) by scripts/translate_toolmind_da.py.
Complements danish-tool-calls-v1, which is single-turn and synthetic. Here
the conversations run several turns, tool results are fed back, and the
assistant reasons before calling.
split
rows
train
34,168
eval_seen_tools
698
eval_unseen_tools
768
eval_seen_sym
752… See the full description on the dataset page: https://huggingface.co/datasets/jensjepsen/danish-tool-dialogues-v9.kapibala-sales-dialogues
Kapibala Sales Dialogues
A sales-conversation dataset with outcome, conversation-level and sentence-level labels
🤗 Hugging Face · Annotation details · 中文
630 synthetic sales conversations (11,688 messages, Chinese and English, five domains) between an LLM-simulated customer and an AI salesperson. Every conversation carries three layers of labels, each produced by a single method across the whole dataset:
L1 — outcome. Did the customer buy, agree to a next step, stay undecided… See the full description on the dataset page: https://huggingface.co/datasets/kapibala-ai/kapibala-sales-dialogues.Japanese-Roleplay-Dialogues
Japanese-Roleplay-Dialogues
This is a dialogue corpus collected from Japanese role-playing forum (commonly known as "なりきりチャット(narikiri chat)"). Each record corresponds to a single thread.
For the original version, no filtering has been applied.
For the filtered version, the following filtering and cleaning conditions have been applied:
If the number of unique poster in the posts of each record is 1 or less, delete the entire record.
If the length of the posts is 10 or less, delete… See the full description on the dataset page: https://huggingface.co/datasets/OmniAICreator/Japanese-Roleplay-Dialogues.sdsd-dialogues
Self Directed Synthetic Dialogues (SDSD) v0
This dataset is an experiment in procedurally generating synthetic dialogues between two language models.
For each dialogue, one model, acting as a "user" generates a plan based on a topic, subtopic, and goal for a conversation.
Next, this model attempts to act on this plan and generating synthetic data.
Along with the plan is a principle which the model, in some successful cases, tries to cause the model to violate the principle resulting… See the full description on the dataset page: https://huggingface.co/datasets/allenai/sdsd-dialogues.rus_med_dialogues
Russian-language dataset of 2282 patient conversations in a medical bot.
The training sample includes 2053 conversations;
The test sample includes 229 conversations;
Feature characteristics:
topic - medical topic
context - user-ai message history
user_question - last user question
assistant_answer - ai answer according the context and topic
prompt - ready prompt for fincetuning instruct model (adapted for using with unsloth… See the full description on the dataset page: https://huggingface.co/datasets/Mykes/rus_med_dialogues.english-daily-dialogues-10k
English Daily Dialogues 10K
A general-purpose, open dataset of 10,000 synthetic multi-turn English conversations spanning ten everyday-life domains. Built as a clean NLP resource for dialogue modeling, response generation, intent understanding, and conversational evaluation. This is a general language resource — not a safety or security benchmark.
Curated by Enes Deniz (ORCID 0009-0006-9491-3565), Co-Founder at AltaySec. It is the English companion to the Turkish Daily Dialogues… See the full description on the dataset page: https://huggingface.co/datasets/3nesdeniz/english-daily-dialogues-10k.voho-saudi-dialogues
Voho Saudi Dialogues
13,156 multi-turn conversations in spoken Saudi Arabic (Najdi), 105,808 turns, 694,240 words, from Voho. Apache 2.0.
Two halves. 7,603 service calls across the eight sectors Voho's voice agents work in — a technician handing over a rig shift, a customer disputing a SADAD charge, a permit-to-work request — and 5,553 everyday conversations between people who know each other: family, food, driving, weddings, the Hilal–Nassr match. Nothing like the first half… See the full description on the dataset page: https://huggingface.co/datasets/VohoAI/voho-saudi-dialogues.verbalyze-dialogues
Verbalyze: Indic Voice Telephony Dialogue Corpus (16,370 Conversations)
Verbalyze Dialogues is an enterprise-grade multi-turn conversational voice dataset in 12 Indian languages specifically engineered for training low-latency telephony Voice Agents and Small Language Models (SLMs).
Unlike standard text-chat datasets, Verbalyze dialogues replicate the dynamics of real telephone calls:
Short, natural spoken sentences (1-2 sentences per turn)
Conversational fillers ("haan", "hmm"… See the full description on the dataset page: https://huggingface.co/datasets/ansh-rohilla/verbalyze-dialogues.cognia-czech-dialogues
Cognia Czech Dialogues
Cognia Czech Dialogues is a pilot collection of synthetic multi-turn conversations in Czech. It is intended for experiments with conversational language models, supervised fine-tuning, evaluation, and dataset-curation workflows.
The current release contains 4,000 dialogues across 40 topic areas. The data was generated synthetically and has not yet been fully reviewed by humans.
Dataset contents
Language: Czech (cs-CZ)
Dialogues: 4,000… See the full description on the dataset page: https://huggingface.co/datasets/havelm3/cognia-czech-dialogues.empathetic_dialogues
Dataset Card for "empathetic_dialogues"
Dataset Summary
Dataset from Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset, but with parquet format.
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information Needed
Dataset Structure
Data Instances
default
Size of downloaded dataset files: 28.02 MB
Size of the generated dataset: 25.13 MB
Total amount of disk used:… See the full description on the dataset page: https://huggingface.co/datasets/brianist/empathetic_dialogues.russian-everyday-dialogues
Russian Everyday Dialogues / Русские повседневные диалоги
A dataset of 20 natural conversational Russian dialogues covering everyday situations.
Создан носителем языка с 18-летним опытом работы в международной среде.
Dataset Description
This dataset contains short, natural Russian dialogues typical of everyday urban life in Russia.
Each example reflects authentic spoken language patterns, not formal or literary Russian.
Situations covered
🛒 Магазин / Shopping… See the full description on the dataset page: https://huggingface.co/datasets/kukunechka/russian-everyday-dialogues.ALIA-es-clinical-psychology-dialogues
[!WARNING]
DISCLAIMER: This dataset is not clinically validated. It is a research proof-of-concept. It should not be used as clinical truth or as a replacement for qualified human professional consultation.
Dataset Introduction
The ALIA Spanish Clinical Psychology Dialogues Corpus is a curated conversational instruction-tuning resource in Spanish created under the ALIA project. It was designed to train and evaluate language models in empathetic therapeutic dialogue and… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/ALIA-es-clinical-psychology-dialogues.mt-dialogues-100k-v1
Multi-turn medical dialogues — 100k_V1
39,996 synthetic doctor/patient dialogues, generated from
EPFLiGHT/fully-open-meditron
for supervised fine-tuning. Each one turns a single question-and-answer row of
the source corpus into a conversation where a clinician has to elicit the
case before answering it.
Files
file
rows
what it is
dialogues_100k_V1.jsonl
39,996
the dialogues
preformat_100k_V1.jsonl
39,996
the cases they were generated from
The… See the full description on the dataset page: https://huggingface.co/datasets/zacbrld/mt-dialogues-100k-v1.Mental-health-CBT-dialogues
Mental Health CBT Dialogues
Overview
This dataset contains 9,000 synthetic patient-therapist dialogue pairs developed for research on stage-aware Cognitive Behavioral Therapy (CBT) with large language models.
The dialogues model therapeutic interactions across the early, middle, and late stages of CBT while preserving continuity between sessions through evolving treatment plans and therapeutic progress.
The dataset accompanies the paper:
Stage-Aware Therapeutic… See the full description on the dataset page: https://huggingface.co/datasets/yuana1234567/Mental-health-CBT-dialogues.danish-tool-dialogues-v7
danish-tool-dialogues-v1
Danish multi-turn tool-use conversations with reasoning, translated from the
Glaive subset of
Nanbeige/ToolMind
(Apache-2.0) by scripts/translate_toolmind_da.py.
Complements danish-tool-calls-v1, which is single-turn and synthetic. Here
the conversations run several turns, tool results are fed back, and the
assistant reasons before calling.
split
rows
train
17,160
eval_seen_tools
701
eval_unseen_tools
768
925 distinct tools; 59 names… See the full description on the dataset page: https://huggingface.co/datasets/jensjepsen/danish-tool-dialogues-v7.commonsense-dialogues
Commonsense-Dialogues Dataset
This is the Commonsense-Dialogues, a crowdsourced dataset of ~11K dialogues grounded in social contexts involving utilization of commonsense. The dataset was released by Amazon Alexa AI team in collaboration with the University of Southern California (USC), and also available Commonsense-Dialogues repo
The social contexts used were sourced from the train split of the SocialIQA dataset, a multiple-choice question-answering based social commonsense… See the full description on the dataset page: https://huggingface.co/datasets/gretelai/commonsense-dialogues.danish-tool-dialogues-v6
danish-tool-dialogues-v1
Danish multi-turn tool-use conversations with reasoning, translated from the
Glaive subset of
Nanbeige/ToolMind
(Apache-2.0) by scripts/translate_toolmind_da.py.
Complements danish-tool-calls-v1, which is single-turn and synthetic. Here
the conversations run several turns, tool results are fed back, and the
assistant reasons before calling.
split
rows
train
17,667
eval_seen_tools
722
eval_unseen_tools
779
933 distinct tools; 59 names… See the full description on the dataset page: https://huggingface.co/datasets/jensjepsen/danish-tool-dialogues-v6.turkish-daily-dialogues-5k
Turkish Daily Dialogues 5K
Exactly 5,000 synthetic, multi-turn Turkish conversations covering ordinary daily-life situations. The corpus is designed as a small, auditable baseline for dialogue modelling, instruction-format experiments, augmentation research, and Turkish-language evaluation—not as a substitute for conversations written by real people.
Provenance in one sentence: the Turkish source scenario library was drafted with AI assistance specifically for this project… See the full description on the dataset page: https://huggingface.co/datasets/VoidOaz/turkish-daily-dialogues-5k.rus_med_dialogues_qa
Russian-language dataset of 3941 patient conversations with a medical bot in QA manner.
The training sample includes 3546 conversations;
The test sample includes 395 conversations;
Feature characteristics:
topic - medical topic
user_question - last user question
assistant_answer - ai answer according the context and topic
to_doctor - the specialty of the physician to whom the assistant referred the patient
prompt - ready prompt for fincetuning instruct phi model… See the full description on the dataset page: https://huggingface.co/datasets/Mykes/rus_med_dialogues_qa.synthetic-b2b-saas-support-dialogues-sample
Synthetic B2B SaaS Support Dialogues (Sample)
Free sample: 100 dialogues from a larger dataset of 484 synthetic customer support conversations for B2B SaaS products.
What's inside
100 complete dialogues (6–8 messages each)
7 issue categories: auth, billing, integration, data, account, technical, onboarding
Rich metadata: resolution_status, customer_sentiment, agent_actions, escalation_needed
Realistic technical details: error codes, URLs, button names, account… See the full description on the dataset page: https://huggingface.co/datasets/Jurgen1161/synthetic-b2b-saas-support-dialogues-sample.empathetic-dialogues-sharegpt
EmpatheticDialogues - ShareGPT Processed
Dataset Summary
EmpatheticDialogues is a large-scale, open-domain dialogue dataset designed to help AI systems recognize, understand, and respond to human emotions more naturally. While humans can easily identify and acknowledge others’ feelings during conversation, this remains a major challenge for artificial dialogue agents due to the lack of high-quality empathetic datasets.
This dataset introduces a new benchmark for… See the full description on the dataset page: https://huggingface.co/datasets/anezatra/empathetic-dialogues-sharegpt.Generated-Empathetic-Dialogues-v0.1-Smol
Generated Empathetic Conversations v0.1 - Smol
This is dataset contains 10K rows of multi-round empathetic conversations convering a diverse set of topics.
Highlights
Multi-round conversation
It's not single-turn. The user and the assistant works together to gradually unfold the conversation.
The average number of turns is 5, with a standard deviation of approximately 1.59 turns. A turn consists of two messages with one by the user, and another by the… See the full description on the dataset page: https://huggingface.co/datasets/ychen/Generated-Empathetic-Dialogues-v0.1-Smol.kapibala-sales-dialogues
Kapibala Sales Dialogues
A sales-conversation dataset with outcome, conversation-level and sentence-level labels
🤗 Hugging Face · Annotation details · 中文
630 synthetic sales conversations (11,688 messages, Chinese and English, five domains) between an LLM-simulated customer and an AI salesperson. Every conversation carries three layers of labels, each produced by a single method across the whole dataset:
L1 — outcome. Did the customer buy, agree to a next step, stay undecided… See the full description on the dataset page: https://huggingface.co/datasets/cmattesonn/kapibala-sales-dialogues.synthetic-ecommerce-customer-service-dialogues-100k
Synthetic E-commerce Support Dialogues
Single-turn English support examples with privacy-aware responses.
Dataset summary
Rows: 100,000
Columns: 11
Train/validation/test: 80,000 / 10,000 / 10,000
Synthetic: yes, every row
Generation seed: 550031
Intended uses
Model prototyping, pipeline testing, schema experiments, and educational demonstrations.
Limitations
This dataset is synthetic and must not be represented as observed platform… See the full description on the dataset page: https://huggingface.co/datasets/synthdataq9x260918/synthetic-ecommerce-customer-service-dialogues-100k.