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READE.md

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+---
+license: apache-2.0
+language:
+- en
+- vi
+tags:
+- ocr
+- optical-character-recognition
+- text-recognition
+- image-text
+pretty_name: Combined OCR Datasets
+size_categories:
+- 10M<n<100M
+task_categories:
+- image-text-recognition
+task_ids:
+- optical-character-recognition
+---
+
+# Combined OCR Dataset for Text Recognition
+
+## Dataset Description
+
+This is a large-scale dataset (~11M training, ~0.9M validation images) for Optical Character Recognition (OCR), aggregated from several common benchmarks and sources (see Sources below). It includes scene text, handwritten text, and synthetic images with corresponding text labels.
+
+**Training Code:** [https://github.com/AnyGlow/lib_ocr](https://github.com/AnyGlow/lib_ocr)
+
+## Dataset Structure
+
+```
+./data/
+├── train/
+│   ├── images/*.jpg  # Training images
+│   └── tgt.csv       # Training filenames and labels
+└── val/
+    ├── images/*.jpg  # Validation images
+    └── tgt.csv       # Validation filenames and labels
+```
+*   `tgt.csv`: Comma-separated `image_name,label`. Labels are pre-normalized (see below).
+
+## Data Details
+
+*   **Sources:** Aggregated from [vietocr](https://github.com/pbcquoc/vietocr), [Deep Text Rec. Benchmark](https://github.com/clovaai/deep-text-recognition-benchmark), [Synth90k](https://www.robots.ox.ac.uk/~vgg/data/text/), and [Cinnamon AI Handwritten](https://www.kaggle.com/datasets/hariwh0/cinnamon-ai-handwritten-addresses).
+*   **Normalization:** Text labels have undergone character normalization (e.g., smart quotes to `"` , various dashes to `-`, accented chars simplified like `Ö`->`O`). This simplifies the vocabulary. See the [training repo README](https://github.com/AnyGlow/lib_ocr#data-preprocessing-character-normalization) for the full list.
+*   **Language:** Predominantly English. Vietnamese samples (1.76%) are included but limited.
+*   **Licensing:** Combines multiple sources. **Users must verify compliance with original dataset licenses** before use.
+
+## Citation
+
+Please cite the original source datasets if you use this data. Citing this aggregation is also appreciated:
+
+```bibtex
+@misc{ducto489_ocr_datasets,
+  author       = {Nguyễn Minh Đức},
+  title        = {Combined OCR Dataset},
+  year         = {2024}, # Update year as needed
+  howpublished = {Hugging Face Datasets},
+  url          = {https://huggingface.co/datasets/ducto489/ocr_datasets}
+}
+```
+
+## Dataset Curators
+
+Aggregated by [ducto489](https://github.com/ducto489/) / Nguyễn Minh Đức.