Minecraft Crafting and Gameplay VQA Dataset in Russian and English

A bilingual, multimodal dataset designed for fine-tuning Vision-Language Models such as Qwen2.5-VL and Qwen3-VL. The dataset, created by KuroTo4ka, is structured by language locale and was last updated on 2026-05-19. It is intended to train AI models on in-game visual understanding tasks.

Use Cases

• Fine-tune VLMs for visual recipe recognition based on the described crafting recipe focus.
• Train models to understand in-game user interfaces based on the described gameplay VQA task.
• Develop AI agents with tool calling capabilities based on the described function call triggering objective.
• Benchmark multilingual VLM performance on a bilingual Russian and English dataset.

Strengths

• Designed for specific fine-tuning of named VLMs (Qwen2.5-VL, Qwen3-VL).
• Cleanly separated into language locales (Russian and English) for bilingual applications.
• Last updated on 2026-05-19, indicating recent maintenance.

Limitations

• Row count, file formats, and column-level documentation are unknown, limiting suitability assessment.
• The dataset's scale and specific data quality require manual inspection after download.
• License information is unknown, which may restrict usage.

Provenance

Source

huggingface, author KuroTo4ka

Freshness

Last updated 2026-05-19 22:58:21.