while-ai/tool-call-efficiency
tool-call-efficiency Made with the whileai SDK · Collections: Efficiency, Start here: foundational post-training datasets Teach an agent to make every tool call count. An agent that calls a tool twice with the same arguments, looks up what the user just told it, or keeps calling after the task is done is slow, expensive, and harder to trust. Ask a base Qwen3-4B to work through 1,133 tool-using tasks across six agents and it does this a lot: only 52% of its 6,681 rollouts finish… See the full description on the dataset page: https://huggingface.co/datasets/while-ai/tool-call-efficiency.
| Author / organization | while-ai |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 197 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 14 September 2026 |
| Last updated at source | 22 September 2026 |
More from while-ai
- while-ai/agent-simulationsDataset
- while-ai/text-to-sql-shopDataset
- while-ai/identity-behaviorDataset
- while-ai/airline-voice-conciseDataset
- while-ai/airline-resist-jailbreaksDataset
- while-ai/tau2-simulatedDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.