Duplicate from google/MapTrace

Co-authored-by: Mohit Goyal <mohitgoogle@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+license: cc-by-4.0
+task_categories:
+- image-to-text
+language:
+- en
+tags:
+- map
+size_categories:
+- 1M<n<10M
+---
+
+# MapTrace: A 2M-Sample Synthetic Dataset for Path Tracing on Maps
+
+## Dataset Format
+The dataset contains 2M annotated paths designed to train models on route-tracing tasks. 
+Splits:
+- `maptrace_parquet`: Contains paths on more complex, stylized maps such as those found in brochures, park directories or shopping malls. 
+- `floormap_parquet`: Contains paths on simpler, structured floor maps, typical of office buildings appartment complexes, or campus maps. 
+
+Each of these splits has the following fields:
+- `image_bytes`: The raw bytes of the generated map image (without post processing.)
+- `label_text`: A string representation of a list of coordinates defining the target path. All coordinates are normalized between 0 and 1. 
+- `input_text`: A natural language question (prompt) asking the model to find the path specified in `label_text`. 
+- `map_description`: A natural language description of the map image, used by a text-to-image generation model to create the synthetic image. 
+
+We also release the splits used in our paper in `maptrace_20k`. The schema in these files is as follows: 
+- `image`: The image bytes of the map, *annotated* with start and end positions
+- `label`: A string representation of a list of coordinates defining the target path. All coordinates are normalized between 0 and 1.
+- `input`: A natural language question (prompt) asking the model to find the path specified in `label`.
+
+
+If you use our work, please cite
+
+```bibtex
+@misc{panagopoulou2025maptracescalabledatageneration,
+      title={MapTrace: Scalable Data Generation for Route Tracing on Maps}, 
+      author={Artemis Panagopoulou and Aveek Purohit and Achin Kulshrestha and Soroosh Yazdani and Mohit Goyal},
+      year={2025},
+      eprint={2512.19609},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2512.19609}, 
+}
+```

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