OASST1 Conversation Dataset
Human-generated conversation tree dataset by OpenAssistant with 88.8K records in 35 languages under Apache 2.0 license.
A human conversation tree dataset created by over 13,000 volunteers from the OpenAssistant community, containing 88,838 conversation records, covering 35 languages, making it the largest open-source human-generated conversation dataset in the world, licensed under the Apache 2.0 license.
The world's largest open-source human-generated dialogue dataset, providing high-quality training data for conversational AI research
All dialogues are written by real humans, not machine-generated, ensuring the naturalness, diversity, and authenticity of the language, making it an ideal data source for training high-quality dialogue models.
The data is organized in a dialogue tree format, with multiple different reply branches for the same message, fully presenting the diversity and contextual dependencies of dialogues.
Includes dialogue content in 35 languages such as English, Spanish, French, German, Chinese, Japanese, etc., making it a valuable resource for multilingual dialogue AI research.
Each reply is quality scored and ranked by community members, providing rich human preference data that can be directly used for RLHF training.
Contributed by over 13,000 volunteers worldwide, reflecting the power of the open-source community, with data covering a wide range of topics and dialogue styles.
Utilizes a permissive Apache 2.0 open-source license, allowing commercial use, modification, and distribution, with no usage restrictions.
From chatbot training to academic research, empowering various directions of conversational AI
Fine-tune large language models using real human conversation data to build more natural and helpful conversational AI assistants
Train multilingual models using conversational data in 35 languages to enhance cross-language understanding and generation capabilities
Based on community quality ranking annotations, directly used for human feedback reinforcement learning, aligning model outputs with human preferences
Support cutting-edge research directions such as dialogue generation, multi-turn reasoning, and dialogue evaluation, promoting the development of conversational AI technology
Quickly obtain OASST1 dataset records through the Ace Data Cloud API
curl -X GET "https://api.acedata.cloud/datasets/oasst1" \
-H "Authorization: Bearer YOUR_API_TOKEN" \
-H "Content-Type: application/json"
# Response Example
{
"message_id": "6ab24d72-...",
"parent_id": null,
"text": "Can you write a short introduction about...",
"role": "prompter",
"lang": "en",
"review_count": 3,
"rank": 0,
"labels": {
"spam": { "value": 0.0, "count": 3 },
"quality": { "value": 0.75, "count": 3 }
}
}
From registration to data acquisition, you can start your conversational AI research project in just a few minutes
Register an account on the Ace Data Cloud platform and obtain an API Token to start calling the dataset interface.
Use the GET /datasets/oasst1 interface to retrieve conversation records as needed, supporting pagination, language filtering, and other parameters.
Load the data into a Python environment for fine-tuning language models, training RLHF reward models, or conducting conversational research.
The world's largest open-source human conversation dataset, licensed under Apache 2.0, available via API immediately. Whether you are training a chatbot or researching conversation generation, OASST1 is your ideal choice.