OpenO1-SFT: Supervised Fine-Tuning Dataset for Language Models

A dataset for supervised fine-tuning of language models, hosted on Hugging Face. The dataset was uploaded by llamafactory and last updated on February 18, 2025. Its specific content and size are not detailed in the provided metadata.

Use Cases

• Supervised fine-tuning of language models based on the dataset's intended purpose.
• Instruction-tuning for improved model alignment based on the 'SFT' designation.
• Training or benchmarking text generation models based on the dataset's likely content.

Strengths

• Hosted on a major AI/ML platform (Hugging Face), ensuring accessibility.
• Specifically designed for use with the LLaMA Factory training framework.

Limitations

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

Provenance

Source

huggingface

Freshness

Last updated 2025-02-18 09:55:50; freshness should be verified.