Llava Recap Cc12M: Multimodal Instruction-Tuning Dataset

Llava Recap Cc12M is a multimodal dataset created by lmms-lab and published on Hugging Face on October 10, 2024. The title suggests it likely contains image-text pairs for instruction-following tasks. The dataset's specific content, size, and structure require verification after download.

Use Cases

• Fine-tuning vision-language models for image captioning or visual question answering (inferred from domain, verify after download)
• Training models to follow multimodal instructions (inferred from domain, verify after download)
• Benchmarking the performance of multimodal AI systems (inferred from domain, verify after download)

Strengths

• Published on the Hugging Face platform, a major hub for AI datasets.
• Last updated on 2024-10-10 00:42:09, indicating recent maintenance.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column definitions are unknown, which limits suitability assessment.
• License information is unavailable, which may restrict usage.

Provenance

Source

lmms-lab

Collection Method

Unknown; method of data gathering is not specified.

Time Range

Unknown; temporal coverage of the data is not specified.

Freshness

Last updated 2024-10-10 00:42:09.

Geography

Unknown; spatial coverage of the data is not specified.