datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Finance-Conversational-Dataset-IndicNemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1
Dataset Description:
We created an RL dataset for conversational tool-use by utilizing existing expert tool-use trajectories. We pose each assistant step of the trajectory as a separate behavior cloning problem where the policy model is incentivized to match the tool call choices of the expert model. Each trajectory includes the use of tools for authentication, data lookup, servicing (i.e. booking reservations, changing them, getting discounts, etc), and more across 838 different… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1.Law-Conversational-Dataset-IndicCyber-Conversational-Dataset-IndicNCERT-Conversational-Dataset-IndicComputer-Science-Conversational-Dataset-IndicCA-Conversational-Dataset-Indicgemma3n-conversational-reasoning
Gemma3N Conversational Reasoning
This dataset is prepared for Unsloth Gemma3/Gemma3N conversational notebooks that use:
from datasets import load_dataset
from unsloth.chat_templates import standardize_data_formats
dataset = load_dataset("Cyleux/gemma3n-conversational-reasoning", split="train[:3000]")
dataset = standardize_data_formats(dataset)
Schema:
conversations: ShareGPT-style list of turns with from and value
metadata columns are included for analysis and filtering
Notes:… See the full description on the dataset page: https://huggingface.co/datasets/Cyleux/gemma3n-conversational-reasoning.Medical-Conversational-Dataset-IndicCAT-Conversational-Dataset-IndicMulti-Turn-Conversational-SFTCreated by: DataCreator AI
Multi-Domain Multi-Turn Chat Conversations Dataset
A synthetic conversational dataset designed for LLM supervised fine-tuning and chatbot training.
The dataset contains multi-turn dialogues across multiple everyday domains such as travel, banking, health, programming, and customer interactions. Conversations are structured in OpenAI chat fine-tuning format, making the dataset directly usable in modern fine-tuning pipelines.
Dataset Overview… See the full description on the dataset page: https://huggingface.co/datasets/DataCreatorAI/Multi-Turn-Conversational-SFT.childes-engUK-conversational-pairs
CHILDES Eng-UK Conversational Pairs
Curated naturalistic parent-child conversational pairs extracted from the
English-UK collection of CHILDES (MacWhinney, 2000), with a held-out test
set of 5 complete child histories that no model in the accompanying paper
has seen during training.
Dataset Summary
278,458 conversation pairs total across train, validation, and test
Train: 250,757 pairs from 2,784 transcripts
Validation: 13,197 pairs (in-distribution, sampled from… See the full description on the dataset page: https://huggingface.co/datasets/nshah-fbcs/childes-engUK-conversational-pairs.actuarial-conversational-dataset
Conversational Actuarial Dataset v0.1.0
Revolutionary Approach: Human First, Expert Second
This dataset transforms technical AI into conversational AI while maintaining domain expertise.
Dataset Composition
Total Examples: 461
56.6% Conversational: Natural dialogue, emotions, context
43.4% Technical: Actuarial with personality
Conversational Categories
Basic Interactions (56 examples)
Greetings and introductions
Small talk
Humor and… See the full description on the dataset page: https://huggingface.co/datasets/MorbidCorp/actuarial-conversational-dataset.Gemma-3-Finnish-ShareGPT-Conversational-Dataset-V1The "topics" folder contains each topic generated (each was supposed to have 5 different conversations but some may have failed to generate or were removed due to big mistakes in them). Some stuff may contain NSFW content.
The main dataset file has all topics shuffled into one .json file.
Scripts used when creating the dataset: https://github.com/minipasila/dataset-scripts/tree/main/gemma-3-dataset-stuff
There have been some small manual edits but it's mostly unedited. This is more of a… See the full description on the dataset page: https://huggingface.co/datasets/mpasila/Gemma-3-Finnish-ShareGPT-Conversational-Dataset-V1.synthetic-persian-chatbot-conversational-sentiment-analysis-anger
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Anger is a Persian (Farsi) dataset created for the Classification task, with a focus on detecting the emotion "anger" in chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). The dataset was synthetically generated using GPT-4o-mini and is derived from the broader Synthetic Persian Chatbot Conversational Sentiment Analysis dataset.
Language(s): Persian (Farsi)
Task(s): Classification… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-anger.Conversational-Reasoning-Topical-Chat
Topical-Chat ShareGPT
This dataset is a modified version of the Conversational-Reasoning/Topical-Chat dataset, formatted in a ShareGPT-like structure for chatbot training. It comprises conversations between two individuals discussing news or Wikipedia articles, adapted for AI and user interaction. Please refer to the original dataset for comprehensive study details.
Dataset Description
Modifications
Key changes from the original dataset include:
AI and… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/Conversational-Reasoning-Topical-Chat.synthetic-persian-chatbot-conversational-sentiment-analysis-fear
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Fear is a Persian (Farsi) dataset for the Classification task, focused on detecting the expression of "fear" in user-chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). The dataset was synthetically generated using GPT-4o-mini and is a subset of the Synthetic Persian Chatbot Conversational Sentiment Analysis dataset.
Language(s): Persian (Farsi)
Task(s): Classification (Emotion… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-fear.synthetic-persian-chatbot-conversational-sentiment-analysis-sadness
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Sadness is a Persian (Farsi) dataset for the Classification task, focused on detecting the expression of "sadness" in user-chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). This dataset was synthetically generated using GPT-4o-mini and is a subset of the broader Synthetic Persian Chatbot Conversational Sentiment Analysis dataset.
Language(s): Persian (Farsi)
Task(s):… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-sadness.synthetic-persian-chatbot-conversational-sentiment-analysis-happiness
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Happiness is a Persian (Farsi) dataset for the Classification task, specifically focused on detecting the emotion "happiness" in user-chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). This dataset was synthetically generated using GPT-4o-mini, and is a subset of the broader Synthetic Persian Chatbot Conversational Sentiment Analysis collection.
Language(s): Persian (Farsi)… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-happiness.synthetic-persian-chatbot-conversational-sentiment-analysis-friendship
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Friendship is a Persian (Farsi) dataset created for the Classification task, with a focus on detecting the emotion "friendship" in chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). The dataset was synthetically generated using GPT-4o-mini and is derived from the broader Synthetic Persian Chatbot Conversational Sentiment Analysis dataset.
Language(s): Persian (Farsi)
Task(s):… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-friendship.synthetic-persian-chatbot-conversational-sentiment-analysis-tone-chatbot-classification
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Chatbot Tone Classification(SynPerChatbotConvSAToneChatbotClassification) is a Persian (Farsi) dataset created for the Classification task. It focuses on identifying the chatbot’s conversational tone—formal, casual, or childish—in dialogue exchanges that include emotional content. This dataset is part of the FaMTEB (Farsi Massive Text Embedding Benchmark) and was synthetically generated using GPT-4o-mini.
Language(s):… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-tone-chatbot-classification.synthetic-persian-chatbot-conversational-sentiment-analysis-jealousy
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Jealousy is a Persian (Farsi) dataset for the Classification task, focused on detecting the expression of "jealousy" in user-chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). This dataset was synthetically generated using GPT-4o-mini and is a subset of the broader Synthetic Persian Chatbot Conversational Sentiment Analysis dataset.
Language(s): Persian (Farsi)
Task(s):… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-jealousy.chatbot-conversational-sentiment-analysis-tone-user-classification
Dataset Summary
Synthetic Persian Chatbot Conversational SA – User Tone Classification(SynPerChatbotConvSAToneUserClassification) is a Persian (Farsi) dataset created for the Classification task. It focuses on identifying the user’s conversational tone—formal, casual, or childish—in emotionally rich chatbot interactions. This dataset is part of the FaMTEB (Farsi Massive Text Embedding Benchmark) and was synthetically generated using GPT-4o-mini.
Language(s): Persian (Farsi)… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/chatbot-conversational-sentiment-analysis-tone-user-classification.synthetic-persian-chatbot-conversational-sentiment-analysis-surprise
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Surprise is a Persian (Farsi) dataset for the Classification task, focused on detecting the expression of "surprise" in user-chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). The dataset was synthetically generated using GPT-4o-mini and is a subset of the Synthetic Persian Chatbot Conversational Sentiment Analysis dataset.
Language(s): Persian (Farsi)
Task(s): Classification… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-surprise.synthetic-persian-chatbot-conversational-sentiment-analysis-satisfaction
Dataset Summary
Synthetic Persian Chatbot Conversational Sentiment Analysis – Satisfaction is a Persian (Farsi) dataset developed for the Classification task, specifically focused on detecting the emotion of satisfaction in chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark) and was synthetically generated using the GPT-4o-mini language model.
Language(s): Persian (Farsi)
Task(s): Classification (Emotion Detection – Satisfaction)
Source:… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-satisfaction.Conversational-datasets-jsonsynthetic-persian-chatbot-conversational-sentiment-analysis-love
Dataset Summary
Synthetic Persian Chatbot Conversational SA – Love is a Persian (Farsi) dataset for the Classification task, specifically focused on detecting the emotion "love" in user-chatbot conversations. It is part of the FaMTEB (Farsi Massive Text Embedding Benchmark). This dataset was synthetically generated using GPT-4o-mini and is a subset of the broader Synthetic Persian Chatbot Conversational Sentiment Analysis collection.
Language(s): Persian (Farsi)
Task(s):… See the full description on the dataset page: https://huggingface.co/datasets/MCINext/synthetic-persian-chatbot-conversational-sentiment-analysis-love.Multi-Med-conversationalauthentic-pre1930-sft-conversational
Pre-1930 Public Domain SFT Dataset
A supervised fine-tuning (SFT) dataset derived from 27 public-domain educational texts published before 1930, sourced from the Internet Archive. The texts span a wide range of 19th and early 20th century disciplines — natural science, history, law, philosophy, grammar, and more — and were written in a question-and-answer catechism format, making them naturally suited for instruction tuning.
Dataset Summary
Metric
Count… See the full description on the dataset page: https://huggingface.co/datasets/zachnorton03/authentic-pre1930-sft-conversational.Saudi-Arabic-Alzheimers-Conversational-Dataset-Parameterized
Saudi Arabic Alzheimer's Patient QA Dataset (Conversational)
Overview
This dataset contains parameterized question-answer pairs designed for conversational AI assistants supporting Alzheimer's patients. The questions are written in the Saudi Arabic dialect and cover common memory-related interactions.
Features
Saudi Arabic dialect
Parameterized answers
Alzheimer's memory support
Conversational QA
RAG-ready
Language
Arabic (Saudi… See the full description on the dataset page: https://huggingface.co/datasets/ShahadAljohani/Saudi-Arabic-Alzheimers-Conversational-Dataset-Parameterized.