Noddybear/fle_vqa
Factorio Visual Question Answering (VQA) Dataset Dataset Description This dataset contains visual question-answering pairs for the Factorio Learning Environment (FLE). It is designed to train and evaluate vision-language models on understanding Factorio game elements, spatial relationships, and factory designs. Dataset Summary Total Samples: 4,522 Number of Splits: 14 Task Categories: 4 Languages: English License: MIT Created: 2025-08-05… See the full description on the dataset page: https://huggingface.co/datasets/Noddybear/fle_vqa.
| Author / organization | Noddybear |
|---|---|
| License (as declared) | mit |
| Downloads | 359 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 5 August 2025 |
| Last updated at source | 5 August 2025 |
Recent changes
- 16 Oct 2026 Description: Factorio Visual Question Answering (VQA) Dataset Dataset Description This dataset contains visual question-answering pairs for the Factorio Learning Environment (FLE). It is designed to train and evaluate vision-language models on understan → Factorio Visual Question Answering (VQA) Dataset Dataset Description This dataset contains visual question-answering pairs for the Factorio Learning Environment (FLE). It is designed to train and evaluate vision-language models on understan
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