Glaive Function Calling V2: Tool Use Instructions in ShareGPT Format

Glaive-function-calling-v2 dataset is formatted for ShareGPT and can be used in LLaMA Factory by specifying --dataset glaive_toolcall_100k. The dataset was uploaded by author hiyouga to Hugging Face on 2024-07-20. Its specific content and size are not detailed in the provided metadata.

Use Cases

• Fine-tuning language models for function-calling tasks based on the dataset's described purpose.
• Training models to follow tool-use instructions based on the ShareGPT format mentioned.
• Benchmarking model performance on structured tool interaction tasks based on the dataset's implied content.
• Generating synthetic data for agentic AI workflows based on the function-calling theme.

Strengths

• Dataset is specifically formatted for ShareGPT, suggesting compatibility with common training pipelines.
• Author hiyouga provides a direct usage command for LLaMA Factory, indicating practical integration.
• Last updated on 2024-07-20, which suggests recent maintenance.

Limitations

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

Provenance

Source

hiyouga on Hugging Face

Collection Method

Unknown

Time Range

Unknown

Freshness

Last updated 2024-07-20 16:10:34; freshness should be verified.

Geography

Unknown