CAMEL-AI Datasets
by CAMEL-AI · open-source · Last verified 2026-03-17
The CAMEL-AI Datasets are a collection of synthetic multi-agent conversation datasets generated through the Communicative Agents framework, where AI assistants and user agents collaborate via role-playing to solve tasks. The collection covers coding, math, science, and open-ended reasoning domains, providing diverse instruction-following dialogues useful for SFT and alignment research.
https://huggingface.co/camel-ai ↗C+
C+—Average
Adoption: BQuality: B+Freshness: B+Citations: BEngagement: F
Specifications
- License
- CC BY 4.0
- Pricing
- open-source
- Capabilities
- instruction-tuning, multi-agent-simulation, role-playing
- Integrations
- huggingface-datasets
- Use Cases
- sft-training, multi-agent-research, dialogue-modeling
- API Available
- Yes
- Tags
- synthetic, multi-agent, role-playing, instruction-tuning, collaborative
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
58.2Adoption
65
Quality
76
Freshness
78
Citations
68
Engagement
0
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