MadeAgents/HammerBench
HammerBench The source code and dataset mentioned in the paper HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Device Scenarios. Overview HammerBench is a benchmark that closely aligned with realworld slot-filling tasks in interactive dialogues. You can evaluate the performance of LLMs under various circumstances as follows: imperfect instruction :The user query that only gives few required parameter values. diverse question-answer… See the full description on the dataset page: https://huggingface.co/datasets/MadeAgents/HammerBench.
| Author / organization | MadeAgents |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.4K (as reported by Hugging Face) |
| Likes | 4 |
| Created | 13 December 2024 |
| Last updated at source | 17 February 2025 |
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Connected in the knowledge graph
- vllm-sr/Decision-1.0-Route-0.6BModel · used to train
Recent changes
- 16 Oct 2026 Description: HammerBench The source code and dataset mentioned in the paper HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Device Scenarios. Overview HammerBench is a benchmark that closely aligned with realworld slot-filling tasks → HammerBench The source code and dataset mentioned in the paper HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Device Scenarios. Overview HammerBench is a benchmark that closely aligned with realworld slot-filling tasks
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