Datasets:

Process-Venue
/

Marathi_Handwritten

@@ -1,131 +1,131 @@
----
-license: mit
-task_categories:
-- image-classification
-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:
-```
-@dataset{language_identification_2024,
-  author = {ML Technology Team},
-  title = {Multilingual Headlines Language Identification Dataset},
-  year = {2024},
-  publisher = {Hugging Face},
-  url = {https://huggingface.co/datasets/MLTechnology/language-identification}
-}
-```
-### 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}
-}
-```

+---
+license: mit
+task_categories:
+- image-classification
+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:
+```
+@dataset{language_identification_2024,
+  author = {ML Technology Team},
+  title = {Multilingual Headlines Language Identification Dataset},
+  year = {2024},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/datasets/processvenue/Marathi_Handwritten}
+}
+```
+### 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}
+}
+```