datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ChatDoctor-HealthCareMagic-100k
Dataset Card for "ChatDoctor-HealthCareMagic-100k"
More Information needed
ChatGPT-Jailbreak-Promptspaired-llama-3.2-1b-embeddings-lmsys-chat-1m
Paired Llama 3.2 1B Token Embeddings (LMSYS-Chat-1M)
This dataset contains paired activations corresponding to single token locations extracted from Meta's Llama 3.2 1B Instruct on conversations from LMSYS-Chat-1M.
Embeddings are provided for layers 5 through 14, which capture the most interesting intermediate representations.
This dataset was built to study things like:
Learning different basis for activations at a given layer
Studying if there are cases where position encodes… See the full description on the dataset page: https://huggingface.co/datasets/scaleinvariant/paired-llama-3.2-1b-embeddings-lmsys-chat-1m.function-calling-chatml
Dataset Card for "function-calling-chatml"
Converted glaiveai/Glaive-function-calling-v2 to chatml format.
Example entry
[ { "from": "system", "value": "You are a helpful assistant with access to the following functions. Use them if required -{\n \"name\": \"create_contact\",\n \"description\": \"Create a new contact\",\n \"parameters\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\n \"type\": \"string\",\n \"description\": \"The name of the contact\"\n }… See the full description on the dataset page: https://huggingface.co/datasets/Locutusque/function-calling-chatml.lmsys-chat-1m
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
This dataset contains one million real-world conversations with 25 state-of-the-art LLMs.
It is collected from 210K unique IP addresses in the wild on the Vicuna demo and Chatbot Arena website from April to August 2023.
Each sample includes a conversation ID, model name, conversation text in OpenAI API JSON format, detected language tag, and OpenAI moderation API tag.
User consent is obtained through the "Terms of… See the full description on the dataset page: https://huggingface.co/datasets/lmsys/lmsys-chat-1m.VisionArena-Chat
VisionArena-Battle: 30K Real-World Image Conversations with Pairwise Preference Votes
200k single and multi-turn chats between users and VLM's collected on Chatbot Arena.
WARNING: Images may contain inappropriate content.
Dataset Details
200K conversations
45 VLM's
138 languages
~43k unique images
Question Category Tags (Captioning, OCR, Entity Recognition, Coding, Homework, Diagram, Humor, Creative Writing, Refusal)
Dataset Description
200,000… See the full description on the dataset page: https://huggingface.co/datasets/lmarena-ai/VisionArena-Chat.SWE-chat
SWE-chat: Coding Agent Interactions From Real Users in the Wild
📄 Paper: arxiv.org/abs/2604.20779
🌐 Website: swe-chat.com
Dataset Summary
SWE-chat captures real-world AI coding sessions from developers using AI coding assistants (Claude Code, Codex, Gemini CLI, and others via the Entire.io CLI). Each session includes the full conversation transcript, tool calls, thinking traces, code changes, and attribution of human vs. agent-authored code.
Dataset Size… See the full description on the dataset page: https://huggingface.co/datasets/SALT-NLP/SWE-chat.ultrachat-10k-chatmlai-medical-chatbot
AI Medical Chatbot Dataset
This is an experimental Dataset designed to run a Medical Chatbot
It contains at least 250k dialogues between a Patient and a Doctor.
Playground ChatBot
ruslanmv/AI-Medical-Chatbot
For furter information visit the project here:
https://github.com/ruslanmv/ai-medical-chatbot
ChatDoctor-iCliniq
Dataset Card for "ChatDoctor-iCliniq"
More Information needed
book2-lite-cleanedpersona-chatchatbot_arena_conversations
Chatbot Arena Conversations Dataset
This dataset contains 33K cleaned conversations with pairwise human preferences.
It is collected from 13K unique IP addresses on the Chatbot Arena from April to June 2023.
Each sample includes a question ID, two model names, their full conversation text in OpenAI API JSON format, the user vote, the anonymized user ID, the detected language tag, the OpenAI moderation API tag, the additional toxic tag, and the timestamp.
To ensure the safe release… See the full description on the dataset page: https://huggingface.co/datasets/lmsys/chatbot_arena_conversations.MultiTurn-Chat-MT-Bench-Judge
SEA-MT-Bench-Judge
SEA-MT-Bench-Judge expands on the original SEA-MTBench through the use of a criteria-based evaluation framework. We use GPT-OSS-120B as the judge model.
The prompts are based on MT-Bench and was manually translated by native speakers. Furthermore, some prompts were modified to be more suitable for the criteria-based judgments.
Supported Tasks and Leaderboards
SEA-MT-Bench-Judge is designed for evaluating chat or instruction-tuned large language… See the full description on the dataset page: https://huggingface.co/datasets/aisingapore/MultiTurn-Chat-MT-Bench-Judge.llama2_7b_chat-boolq-results
Dataset Card for "llama2_7b_chat-boolq-results"
More Information needed
political-leaning-tweets-100k
🗳️ political-leaning-tweets-100k
Châtelet AI presents a 100,000+ dataset of tweets labelled for political leaning: neutral, liberal, conservative.Labels are machine-generated using a SOTA thinking-enabled LLM. The dataset is intended for research on political language modelling, ideology detection, robustness, and safety evaluation.
📦 Dataset Card
Name: chatelet/political-leaning-tweets-100k
Publisher: Châtelet AI
Licence: MIT with additional restrctions against… See the full description on the dataset page: https://huggingface.co/datasets/chatelet/political-leaning-tweets-100k.multi_session_chat
Dataset Card for "multi_session_chat"
More Information needed
lmsys-chat-1m
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
This dataset contains one million real-world conversations with 25 state-of-the-art LLMs.
It is collected from 210K unique IP addresses in the wild on the Vicuna demo and Chatbot Arena website from April to August 2023.
Each sample includes a conversation ID, model name, conversation text in OpenAI API JSON format, detected language tag, and OpenAI moderation API tag.
User consent is obtained through the "Terms of use"… See the full description on the dataset page: https://huggingface.co/datasets/AarushSah/lmsys-chat-1m.llama2_7b_chat-piqa-resultsllm-bias-detection
LLM Bias Detection Evaluation Traces
Evaluation data accompanying Navigating the digital spectrum: Assessing
political bias, stability, and downstream fairness in Large Language Models
(arXiv:2609.08637).
Licence scope: CC BY 4.0 covers the authors' original documentation,
templates, selection/arrangement and author-generated tables. It does not
relicense source text or annotations. IBM retains CC BY-SA 3.0; hate-corpus
components retain CC BY 4.0, CC0 or MIT as documented in… See the full description on the dataset page: https://huggingface.co/datasets/nishan-chatterjee/llm-bias-detection.sae-activations-llama-3.1-8b-layer19-lmsys-chat-1m
SAE Feature Activations — Llama 3.1 8B Instruct, Layer 19 (LMSYS-Chat-1M)
This dataset contains Sparse Autoencoder (SAE) feature activations extracted from layer 19 of Meta's Llama 3.1 8B Instruct on conversations from LMSYS-Chat-1M.
It also has natural language explainations of features generated by GPT OSS 120B. See subset 4 for details.
The SAE used is Goodfire/Llama-3.1-8B-Instruct-SAE-l19, which decomposes layer-19 residual stream activations into interpretable sparse features.… See the full description on the dataset page: https://huggingface.co/datasets/scaleinvariant/sae-activations-llama-3.1-8b-layer19-lmsys-chat-1m.chat1.0ChatDoctor-HealthCareMagic-Output-Improved-GPT4.1dolly-chatml-sftchatbot_instruction_prompts
Dataset Card for Chatbot Instruction Prompts Datasets
Dataset Summary
This dataset has been generated from the following ones:
tatsu-lab/alpaca
Dahoas/instruct-human-assistant-prompt
allenai/prosocial-dialog
The datasets has been cleaned up of spurious entries and artifacts. It contains ~500k of prompt and expected resposne. This DB is intended to train an instruct-type model
synthetic-medical-conversations-deepseek-v3-chatTaken from Synthetic Multipersona Doctor Patient Conversations. by Nisten Tahiraj.
Original README
🍎 Synthetic Multipersona Doctor Patient Conversations.
Author: Nisten Tahiraj
License: MIT
🧠 Generated by DeepSeek V3 running in full BF16.
🛠️ Done in a way that includes induced errors/obfuscations by the AI patients and friendly rebutals and corrected diagnosis from the AI doctors. This makes the dataset very useful as both training data and retrival… See the full description on the dataset page: https://huggingface.co/datasets/MaziyarPanahi/synthetic-medical-conversations-deepseek-v3-chat.details_Qwen__Qwen1.5-0.5B-Chat
Dataset Card for Evaluation run of Qwen/Qwen1.5-0.5B-Chat
Dataset automatically created during the evaluation run of model Qwen/Qwen1.5-0.5B-Chat.
The dataset is composed of 117 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/amztheory/details_Qwen__Qwen1.5-0.5B-Chat.infinite-chats-evalmixed_inst_multi_chat
Dataset Card for "mixed_inst_multi_chat"
More Information needed
SWE-Review-Chat
SWE-Review-Chat: A Dataset of Code Review Conversations and Human-AI Collaboration in Agentic Code Review
Paper: https://arxiv.org/abs/2607.13196
GitHub: https://github.com/suzhenxzhong/SWE-Review-Chat
SWE-Review-Chat is a large-scale dataset of real-world code review conversations from pull requests of 207 popular GitHub projects, spanning the transition from human-centric to LLM-assisted and agentic code review by AI agents.
📊 Dataset Overview
Field… See the full description on the dataset page: https://huggingface.co/datasets/Suzhen/SWE-Review-Chat.