MadeAgents/xlam-irrelevance-7.5k
收藏Hugging Face2024-10-10 更新2025-04-12 收录
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https://hf-mirror.com/datasets/MadeAgents/xlam-irrelevance-7.5k
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---
license: cc-by-4.0
---
# xlam-irrelevance-7.5k
## Overview
The **xlam-irrelevance-7.5k** is a specialized dataset designed to activate the ability of irrelevant function detection for large language models (LLMs).
## Source and Construction
This dataset is built upon [xlam-function-calling-60k](https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k) dataset, from which we random sampled 7.5k instances, removed the ground truth function from the provided tool list, and relabel them as irrelevant. For more details, please refer to [Hammer: Robust Function-Calling for On-Device Language Models via Function Masking](https://arxiv.org/abs/2410.04587) and [Hammer GitHub repository](https://github.com/MadeAgents/Hammer) .
## Application
This dataset is a supplement to the xLAM dataset. After integrating the data from these two parts, we trained the [Hammer series](https://huggingface.co/MadeAgents) of models.
提供机构：
MadeAgents
