Multimodal Open R1 8K Verified Dataset

8,000 verified multimodal examples for instruction tuning and vision-language tasks, created by the LMMS-Lab. The dataset was last updated in January 2025 and is hosted on Hugging Face.

Use Cases

• Fine-tuning models for image captioning using paired image-text examples.
• Training instruction-following models with verified multimodal prompts and responses.
• Benchmarking vision-language models on a curated set of 8,000 examples.
• Developing retrieval-augmented generation systems using multimodal data.

Strengths

• Contains 8,000 verified examples, ensuring a baseline of data quality.
• Explicitly designed for instruction tuning, a key task in multimodal AI.

Limitations

• The specific content, column structure, and data distribution are unknown.
• The verification process and criteria are not described.

Provenance

Source

lmms-lab on Hugging Face.

Collection Method

Method of collection and verification is not specified.

Freshness

Last updated on 2025-01-27.

Geography

Platform tags suggest a US region focus, but specific geography is unknown.