NSFW-T2I: 38k Image-Text Pairs with AI-Generated Captions

Approximately 38,000 image-text pairs, with 10,000 sourced from LAION and 28,000 from nsfw_detect. Captions were generated by the LLaVA-NeXT model using a prompt to describe attributes of people. The dataset was created by author zxbsmk and last updated on HuggingFace in July 2024.

Use Cases

• Training NSFW content classifiers based on the described image-text pairs.
• Fine-tuning text-to-image models using the AI-generated detailed captions.
• Benchmarking vision-language models on tasks involving detailed attribute description.
• Studying the characteristics of NSFW content sourced from platforms like LAION.

Strengths

• Contains approximately 38,000 image-text pairs, providing a substantial collection.
• Captions were generated by the LLaVA-NeXT model, which may offer detailed, structured descriptions.
• Combines data from two distinct sources: LAION and nsfw_detect.

Limitations

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

Provenance

Source

HuggingFace dataset by author zxbsmk.

Collection Method

Images sourced from LAION and nsfw_detect, with captions generated by the LLaVA-NeXT AI model.

Freshness

Last updated 2024-07-02 06:45:38; freshness should be verified.