Duplicate from Process-Venue/Marathi_Handwritten

Co-authored-by: ProcessVenue <processvenue@users.noreply.huggingface.co>

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README.md

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+---
+license: mit
+task_categories:
+- image-classification
+- image-to-text
+- image-feature-extraction
+tags:
+- handwriting-recognition
+- OCR
+- Marathi
+- image-processing
+- deep-learning
+- computer-vision
+pretty_name: Marathi Handwritten OCR
+size_categories:
+- 1K<n<10K
+language:
+- mr
+---
+
+# Dataset Card for Marathi Handwritten OCR Dataset
+
+### Dataset Description
+
+- **Repository:** processvenue/Marathi_Handwritten
+- **Total Examples:** 2520
+- **Splits:**
+  - train: 2016 examples
+  - validation: 504 examples
+- **Features:** image, id, filename, label, type
+- **Size:** 2520 images
+- **Language:** mr
+- **License:** mit
+
+### Dataset Summary
+
+The Marathi Handwritten Text Dataset is a collection of handwritten text images in Marathi (देवनागरी लिपी),
+aimed at supporting the development of Optical Character Recognition (OCR) systems, handwriting analysis tools,
+and language research.The dataset was curated from native Marathi speakers to ensure a variety of handwriting styles and character variations.
+The dataset contains 2520 images with two categories:
+- बाराखडी (Barakhadi/syllables): 560 characters
+- शब्द (Words): 1949 words
+- Image Format: PNG
+- Label Format: Text file
+- Image Dimensions: 115x57 OR 114x58 pixels
+- Storage Format: Parquet (Hugging Face)
+
+Language Statistics: 
+- Marathi is the third most spoken language in India
+- Approximately 83 million speakers (7% of India's population)
+- Official language of Maharashtra
+- One of the 22 scheduled languages of India
+
+Applications
+1. OCR Development
+  - Handwriting recognition systems
+  - Document digitization
+  - Text extraction tools
+
+2. Educational Tools
+  - Language learning applications
+  - Writing practice systems
+  - Digital literacy programs
+
+3. Research Applications
+  - Script analysis
+  - Language processing
+  - Pattern recognition studies
+
+
+### Data Fields
+
+- `image`: Image feature (PIL Image)
+- `id`: Feature field
+- `filename`: Feature field
+- `label`: Feature field
+- `type`: Feature field
+
+### Dataset Creation
+
+The dataset was created through careful curation of handwritten samples from native Marathi speakers. 
+The dataset includes both character-level (syllables) and word-level annotations. 
+Contributors were provided with pre-written text designed to capture:
+- Common character variations
+- Diverse writing styles
+- Standard word formations
+- Typical punctuation usage
+
+The images were carefully processed and stored in PNG format, while metadata and labels were structured
+in a Parquet file format.
+
+
+### Usage Example
+
+```python
+from datasets import load_dataset
+import matplotlib.pyplot as plt
+
+# Load the dataset
+dataset = load_dataset("processvenue/Marathi_Handwritten")
+
+# Get an example from train split
+example = dataset['train'][0]
+
+# Display the image
+plt.figure(figsize=(5, 5))
+plt.imshow(example['image'])
+plt.title(f"Sample Image")
+plt.axis('off')
+plt.show()
+```
+
+### Citation
+
+If you use this dataset in your research, please cite:
+
+```
+@misc{sanskrit-ocr-dataset,
+  title     = {Sanskrit OCR Dataset},
+  author    = {ProcessVenue},
+  year      = {2024},
+  publisher = {HuggingFace},
+  url       = {https://huggingface.co/datasets/processvenue/Sanskrit-OCR-Dataset},
+  organization = {ProcessVenue},
+  contact   = {sales@processvenue.com},
+  Website  = {https://www.processvenue.com/}
+}
+```
+
+
+### References
+
+```
+@misc{Sarode_Marathi_Handwritten_Text,
+author = {Hrushikesh Sarode},
+title = {Marathi Handwritten Text Dataset},
+year = {n.d.},
+url = {https://www.kaggle.com/datasets/hrushikeshsarode/marathi-handwritten-text-dataset},
+note = {Accessed: February 12, 2025}
+}
+```

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