Turkish Mobile Commands for Function-Calling Fine-Tuning

BTX24's Turkish Mobile Function Calling Dataset is designed to convert natural language Turkish mobile commands into a single-line JSON function-call output. The dataset is intended for fine-tuning small text-only language models like Qwen 2.5, Qwen 3, and FunctionGemma. It was last updated on Hugging Face on 2026-05-13.

Use Cases

• Fine-tuning language models to parse Turkish mobile commands based on the described function-calling format.
• Training models for intent recognition and slot filling in Turkish based on the described JSON output structure.
• Developing Turkish-language virtual assistants for mobile devices based on the dataset's focus on mobile commands.
• Benchmarking model performance on Turkish-to-JSON structured output tasks based on the dataset's purpose.

Strengths

• Specifically designed for fine-tuning named small language models like Qwen 2.5, Qwen 3, and FunctionGemma.
• Targets a specific NLP task: converting Turkish natural language to structured JSON function calls.
• Last update timestamp is explicitly provided: 2026-05-13 21:42:40.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

BTX24 on Hugging Face.

Collection Method

Likely created for fine-tuning language models, but the specific collection method is not detailed.

Freshness

Last updated 2026-05-13 21:42:40; freshness should be verified.