arcee-ai/agent-data
收藏Hugging Face2024-07-22 更新2025-09-13 收录
下载链接：
https://hf-mirror.com/datasets/arcee-ai/agent-data
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资源简介：
---
license: mit
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<img src="https://i.postimg.cc/fzhqGMMf/9-Ji-CHw-Ub-QBqv-T-TYTY2-KAw.jpg" alt="Arcee-Agent" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 100%; height: auto;">
</div>
Agent Data is designed for training AI agents, particularly in the domain of function calling and multi-turn conversations. It combines four distinct datasets - and is the exact mixture we used when training [Arcee-Agent](https://huggingface.co/arcee-ai/Arcee-Agent).
## Dataset Components
1. **Glaive Function Calling v2**
- Notable feature: We have synthetically extended ~20k samples with sequential tool calls within the same response.
2. **Salesforce xlam Function Calling**
3. **Internlm's Agent-Flan series**
4. **Magpie Pro 300k**
- Magpie is included to prevent overfitting, generalize the model to tasks beyond just function calling, and avoid catastrophic forgetting.
## Intended Use
This dataset is designed for:
- Training AI models in function calling and tool use
- Developing conversational AI agents
- Enhancing AI's ability to maintain context over extended interactions.
提供机构：
arcee-ai
