CommonCatalog CC-BY Ja: Japanese Image Captions for Multimodal AI

An extension of the CommonCatalog CC-BY dataset with Japanese-language image captions. The author alfredplpl added one simple and three detailed captions per image, generated by a modified LLaVA-JP model. The dataset was last updated on June 23, 2024.

Use Cases

• Training Japanese image-captioning models based on the detailed captions.
• Fine-tuning vision-language models for Japanese using the provided image-text pairs.
• Benchmarking model performance on Japanese image description tasks.
• Creating synthetic training data for other Japanese NLP tasks using the generated captions.

Strengths

• Includes multiple caption styles (simple and detailed) per image, which may provide richer training signals.
• Captions are generated by a modified, potentially improved version of the LLaVA-JP model.
• Builds upon the established CommonCatalog CC-BY dataset as a base.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The quality and accuracy of the machine-generated Japanese captions are not validated in the description.

Provenance

Source

alfredplpl on Hugging Face, extending the CommonCatalog CC-BY dataset.

Collection Method

Captions were generated by a modified LLaVA-JP model.

Time Range

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Freshness

Last updated 2024-06-23 22:34:30; freshness should be verified.

Geography

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