Added Dataset Card

README.md

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+---
+dataset_name: Devanagari Characters Image Dataset
+annotations_creators: [other]
+language_creators: [found]
+language: [hi, mr, sa]
+task_categories:
+  - image-classification
+  - unconditional-image-generation
+
+task_ids:
+  - multi-class-image-classification
+
+
+license: other
+tags:
+  - devanagari
+  - hindi
+  - diffusion
+  - ocr
+  - fonts
+size_categories:
+  - 10K<n<100K
+
+---
+
+#  Devanagari Characters Image Dataset
+
+## Dataset Summary
+
+The **Devanagari Characters Image Dataset** is a high-resolution dataset designed to support research and experimentation in generative modeling, specifically for the Hindi script. It includes images for:
+
+- **Vowels (स्वर)**
+- **Consonants (व्यंजन)**
+- **Matra combinations (e.g., का, कि, की, कु)**
+- **Hindi numerals (०-९)**
+
+
+![image/gif](https://cdn-uploads.huggingface.co/production/uploads/666c3d6489e21df7d4a02805/vTze8X-7JXwz9wH5dtQbJ.gif)
+
+The dataset was created to address the limitations of existing Devanagari datasets, which often suffer from low resolution (typically 32x32 pixels) and limited font variety. This dataset provides a more robust and scalable resource for training advanced generative models such as diffusion models.
+But it can be used for some other problem statement as well.
+
+---
+
+## Use Cases
+
+- Hindi character generation using diffusion models
+- Full sentence-level generation and rendering
+- OCR pretraining and benchmarking for Devanagari
+- Font style transfer and augmentation
+- High-resolution classification tasks
+
+---
+
+## Dataset Details
+
+- **Characters Covered**: 80+ (including vowels, consonants, matra combinations, and numerals)
+- **Font Variations**: 305 unique Devanagari Unicode fonts
+- **Resolution**: 128x128 pixels (grayscale)
+- **Images per Character**: ~305
+- **Total Size**: ~24,000 images
+
+Each character image is rendered programmatically using Unicode-compliant Devanagari fonts to ensure consistency and readability across styles.
+
+---
+
+## Character Coverage
+
+The dataset includes:
+
+### Vowels (स्वर)
+`अ, आ, इ, ई, उ, ऊ, ऋ, ॠ, ऌ, ॡ, ए, ऐ, ओ, औ, अं, अः`
+
+### Consonants (व्यंजन)
+`क, ख, ग, घ, ङ, च, छ, ज, झ, ञ, ट, ठ, ड, ढ, ण, त, थ, द, ध, न, प, फ, ब, भ, म, य, र, ल, व, श, ष, स, ह, ळ, क्ष, त्र, ज्ञ`
+
+### Matra Combinations (e.g.,)
+`का, कि, की, कु, कू, कृ, के, कै, को, कौ, कं, कः`, `गा, गि, गु, गो`, etc.
+
+### Hindi Numerals
+`०, १, २, ३, ४, ५, ६, ७, ८, ९, १०`
+
+---
+
+## Motivation
+
+While exploring the application of diffusion models for multilingual character generation, a key bottleneck was the lack of high-resolution and stylistically diverse datasets in Hindi. This dataset was created to fill that gap. It provides a clean, diverse, and high-resolution dataset suitable for generative tasks and deep learning experimentation.
+
+---
+
+## Limitations
+
+- The dataset is synthetically generated using fonts and does not include handwritten data.
+- Some fonts may render characters with minor stylistic irregularities, especially in matra combinations.