Turkish Tool-Calling Dataset is a machine learning corpus containing 8,633 conversations (8,202 for training, 431 for testing) for fine-tuning large language models. It was created by the author 'ituperceptron' and is a Turkish translation of the English Mustafaege/qwen3.5-toolcalling-v2 dataset. The dataset was last updated on June 6, 2026.
Use Cases
- Fine-tuning Turkish-language LLMs for function calling based on structured conversation data.
- Training assistant models to handle Turkish user queries and generate appropriate tool calls.
- Benchmarking Turkish NLP models on tool-calling tasks using the provided test split.
- Developing multilingual AI systems by adapting English tool-calling techniques to Turkish.
Strengths
- Contains 8,633 structured conversations specifically designed for tool-calling tasks.
- Provides a clear split of 8,202 training and 431 testing examples for model development.
- Maintains technical structure while translating natural language, preserving the original dataset's functional integrity.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is known, but other metadata like file formats, size, and license are unknown.
- Freshness should be verified as the last update date is June 6, 2026.
Provenance
- Source
- huggingface
- Collection Method
- Translation of the Mustafaege/qwen3.5-toolcalling-v2 dataset from English to Turkish.
- Freshness
- Last updated 2026-06-06 18:48:35