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| license: apache-2.0 |
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| HME100K – Hugging Face Version |
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| Dataset Name: HME100K (Hugging Face Version) |
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| Original Source: https://www.kaggle.com/datasets/cutedeadu/hme100k |
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| Original Author (Kaggle): cutedeadu |
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| ## Overview |
| HME100K is a dataset of handwritten mathematical expressions. |
| Each sample consists of: |
| - An image containing a handwritten math expression |
| - A corresponding LaTeX-style text annotation |
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| ## This dataset is useful for: |
| - Handwritten Mathematical Expression Recognition (HMER) |
| - OCR research for mathematical formulas |
| - Sequence-to-sequence modeling (image-to-LaTeX) |
| - Vision-language modeling tasks |
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| ## Dataset Structure |
| This Hugging Face version provides the dataset in a structured format with 3 columns: |
| - id: Unique identifier of each sample |
| - image: Handwritten math expression image |
| - text: Ground truth LaTeX-style annotation |
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| The dataset is stored in Apache Arrow (PyArrow) format for efficient loading with the Hugging Face datasets library. |
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| ## Why This Version? |
| This version has been converted into Hugging Face Dataset format to: |
| 1. Make it easier to load using the datasets library |
| 2. Enable fast and memory-efficient access |
| 3. Allow seamless integration into Hugging Face training pipelines |
| 4. Provide convenient usage for researchers already working in the Hugging Face ecosystem |
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| This conversion does NOT modify the original data content. |
| It only restructures the dataset for better accessibility. |
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| ## Credit |
| All original data credit goes to: |
| - cutedeadu (Kaggle Author) |
| - Original dataset: HME100K |
| - Source: https://www.kaggle.com/datasets/cutedeadu/hme100k |
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| If you use this dataset in your research, please consider crediting the original author and Kaggle source accordingly. |
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| Hugging Face Conversion |
| This Hugging Face formatted version was created to improve accessibility and usability for the open research community. |
