Sign inGet started
Dataset · Hugging Face

younissk/tool-calling-mix

This is a dataset for fine-tuning a language model to use tools. I combined sources from various other tool calling datasets and added some non-tool calling examples to prevent catastrophic forgetting. Dataset Overview Motivation This dataset was created to address the need for a diverse, high-quality dataset for training language models in tool usage. By combining multiple sources and including non-tool examples, it aims to produce models that can effectively… See the full description on the dataset page: https://huggingface.co/datasets/younissk/tool-calling-mix.

Author / organizationyounissk
License (as declared)mit
Downloads430 (as reported by Hugging Face)
Likes4
Created2 September 2025
Last updated at source5 September 2025
tool-callingfunction-callinginstruction-tuningsupervised-fine-tuninglanguage-modelartificial-intelligence
Embed this entry
<iframe src="https://silytics.si/embed/item/f4f5ee28-af8a-4eaf-9409-209c0f8f6103" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

430 now (+57 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 17 Oct 2026 Description: This is a dataset for fine-tuning a language model to use tools. I combined sources from various other tool calling datasets and added some non-tool calling examples to prevent catastrophic forgetting. Dataset Overview Motivation This datas → This is a dataset for fine-tuning a language model to use tools. I combined sources from various other tool calling datasets and added some non-tool calling examples to prevent catastrophic forgetting. Dataset Overview Motivation This datas

Changes detected by Silytics between refreshes of the source.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.