Magpie Qwen2.5 Pro 1M V0.1: Instruction Data for LLM Alignment

Magpie Qwen2.5 Pro 1M V0.1 is a collection of instruction data for aligning large language models. It was created by Magpie-Align and released on Hugging Face, with a technical report published on arXiv in June 2024. The dataset aims to address the lack of open alignment data for models with open weights.

Use Cases

• Instruction tuning of LLMs based on the described high-quality instruction data.
• Research into data-efficient alignment methods based on the dataset's focus on reducing human labor costs.
• Benchmarking open alignment datasets based on the dataset's release as an alternative to private data.

Strengths

• Dataset is associated with a published technical report (arXiv:2406.08464) and open-source code.
• Dataset is explicitly designed to address the lack of open alignment data for models with open weights.

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

Magpie-Align

Freshness

Last updated 2025-01-13 07:00:18; freshness should be verified.