knowledge-computing/FRIEDA

FRIEDA is a multimodal benchmark for open-ended cartographic reasoning over real-world map images.Each example pairs reference maps (and optional contextual maps) with a natural-language question and a reference answer. The benchmark targets common GIS relation types (i.e., topological, metric, directional) and includes questions that require multi-step reasoning and cross-map grounding. Dataset Summary Modality: image + text # Examples: 500 Input: map image(s) +… See the full description on the dataset page: https://huggingface.co/datasets/knowledge-computing/FRIEDA.