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@@ -73,3 +73,40 @@ Each example has the following structure:
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  'split_tag': str, # "train", "val", or "test"
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  'data_type': str, # always "human" in this version
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  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  'split_tag': str, # "train", "val", or "test"
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  'data_type': str, # always "human" in this version
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  }
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+ ```
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+
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+ All samples are rendered from digital ink into JPEG images with randomized stroke width and light RGB variations for augmentation and realism.
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+
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+ ## Usage
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+
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+ To load the dataset:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ ds = load_dataset("deepcopy/MathWriting-Human")
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+ sample = ds["train"][0]
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+ image = sample["image"]
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+ latex = sample["latex"]
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+ ```
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+
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+ ## Licensing Information
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+
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+ The dataset is licensed by **Google LLC** under the **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International** license ([CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)).
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+
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+ ---
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+
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+ ## Citation
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+ Please cite the following paper if you use this dataset:
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+ ```
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+ @misc{gervais2025mathwritingdatasethandwrittenmathematical,
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+ title={MathWriting: A Dataset For Handwritten Mathematical Expression Recognition},
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+ author={Philippe Gervais and Anastasiia Fadeeva and Andrii Maksai},
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+ eprint={2404.10690},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2404.10690},
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+ }
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+ ```