NSFW-T2I: 38,000 Image-Text Pairs with AI-Generated Captions

38,000 image-text pairs sourced from LAION and nsfw_detect datasets. Captions were generated by the LLaVA-NeXT model using a prompt requesting detailed descriptions of person attributes. The dataset was created by author K00B404 and last updated on Hugging Face in April 2026.

Use Cases

• Training NSFW detection models based on the curated image-text pairs.
• Fine-tuning text-to-image models using the detailed, AI-generated captions.
• Studying the performance of vision-language models like LLaVA-NeXT on content moderation tasks.
• Benchmarking automated captioning systems on sensitive or adult imagery.

Strengths

• Contains approximately 38,000 image-text pairs, providing a substantial collection.
• Captions were generated by a specific, named model (LLaVA-NeXT) with a documented prompt.
• Sources are explicitly stated as 10,000 pairs from LAION and 28,000 from nsfw_detect.

Limitations

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

Provenance

Source

Combined from LAION and nsfw_detect datasets.

Collection Method

Captions generated by LLaVA-NeXT model with a specific prompt.

Freshness

Last updated 2026-04-16 16:33:26; freshness should be verified.