Viet Vintext Gemini VQA: Vietnamese Image Descriptions and Q&A

Over 6,000 detailed descriptions and query-based questions and answers generated for 1,056 Vietnamese images. The annotations were produced by the Gemini 1.5 Flash model using images from the VinText dataset train split. The dataset was created by 5CD-AI and last updated on August 25, 2024.

Use Cases

• Train Visual Question Answering models based on Vietnamese image-text pairs.
• Benchmark large language models on Vietnamese multimodal reasoning tasks.
• Fine-tune image captioning models using detailed descriptions of Vietnamese scenes.
• Develop educational tools for Vietnamese language learning using visual aids.

Strengths

• Contains over 6,000 detailed descriptions and Q&A pairs.
• Based on 1,056 Vietnamese images from a known source dataset.
• Annotations were generated by Gemini 1.5 Flash, a leading model on the WildVision Arena Leaderboard.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the source Vietnamese image collection.

Provenance

Source

Images sourced from the train split of the VinText dataset.

Collection Method

Annotations generated by the Gemini 1.5 Flash model using advanced VQA techniques.

Freshness

Last updated 2024-08-25 15:48:00; freshness should be verified.

Geography

Vietnam