Duplicate from openpecha/OCR-Drutsa

Co-authored-by: Tashi Tsering <ta4tsering@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+dataset_info:
+  features:
+  - name: id
+    dtype: string
+  - name: image
+    dtype: image
+  - name: label
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 990261041
+    num_examples: 32364
+  download_size: 980034407
+  dataset_size: 990261041
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+license: odc-by
+task_categories:
+- image-to-text
+language:
+- bo
+tags:
+- low-resource
+- drutsa
+- tibetan
+- bdrc
+- buddhism
+size_categories:
+- 10K<n<100K
+---
+
+
+---
+
+# Dataset Card for OCR-Drutsa
+
+A line-to-text dataset for Tibetan OCR of the Drutsa script.
+
+## Dataset Details
+
+### Dataset Description
+- **Curated by:** Buddhist Digital Resource Center
+- **Language:** Tibetan
+- **Total Samples:** 32,364 line images with text transcriptions
+
+### Dataset Structure
+- **Features:**
+  - `id`: Image file identifier
+  - `image`: Image file of text
+  - `label`: Text transcription
+
+- **Splits:**
+  - **Train:** 32,364 samples
+
+## Uses
+
+### Direct Use
+- Training and evaluation of Tibetan OCR models
+- Drutsa script OCR development
+- Comparative analysis of historical scripts
+- Large-scale OCR model pretraining
+
+### Out-of-Scope Use
+- Not be suitable for printed Tibetan texts or Uchen script
+- May not suitably represent contemporary digital Tibetan fonts
+
+## Dataset Creation
+
+### Curation Rationale and Process
+This dataset was created from 10 manuscripts to support the development of robust OCR systems for Tibetan literature, including handwritten material.
+
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load training split
+dataset = load_dataset("openpecha/OCR-Drutsa", split="train")
+
+# Example features
+print(dataset[0])
+# {'id': 'KS_11-061_line_9874_4', 
+# 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=2335x82 at 0x7ED68C896600>, 
+# 'label': 'བས་སོ་། །༢པ་ཡང་མི་འཐད་ཏེ་སྣལ་མ་དུ་མ་འདུས་པ་ལས་འབྲས་བུ་སྣམ་པུ་ཡོད་ན་སྣལ་མ་སོ་སོ་ལ་འབྲས་བུ་ཆ་རི་དམིགས་པར་ཐལ་ལོ་། །དེས་ན་སྣལ་'}
+```
+
+## Dataset Contact
+BDRC - help@bdrc.org

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