TranNhiem Vietnamese Image-Text Reasoning: Multimodal Q&A with Chain-of-Thought

Vietnamese multimodal reasoning data featuring multi-turn visual question-answering grounded on natural images. Each answer includes an explicit chain-of-thought reasoning trace, synthesized by the Qwen3.5-397B-A17B model over images from the LAION-derived Vi-Laion-gemini-VQA set. The dataset was curated by Trần Nhiệm and last updated on 2026-07-17.

Use Cases

• Train Vietnamese visual language models based on the described image-text pairs.
• Benchmark chain-of-thought reasoning in multimodal AI systems based on the synthesized reasoning traces.
• Fine-tune models for multi-turn Vietnamese visual dialogue based on the described question-answering format.
• Study synthetic data generation for non-English multimodal tasks based on the use of Qwen3.5-397B-A17B.

Strengths

• Includes explicit chain-of-thought reasoning traces for each answer, which can aid model training and interpretability.
• Based on images from the LAION-derived Vi-Laion-gemini-VQA set, suggesting a foundation in a known visual data source.
• Synthesized by a large language model (Qwen3.5-397B-A17B), indicating a method for scalable data generation.

Limitations

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

Provenance

Source

huggingface

Collection Method

Synthesized by Qwen3.5-397B-A17B over images from the Vi-Laion-gemini-VQA set.

Freshness

Last updated 2026-07-17 10:57:11; freshness should be verified.

Geography

Vietnam (language focus)