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README.md

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-# Hindi Verb Forms Dataset (हिंदी धातु रूप संग्रह)
-
-## Overview
-
-This dataset contains a comprehensive collection of Hindi verb forms (धातु रूप). It provides conjugated forms of Hindi verbs across different tenses, persons, and numbers. This resource is designed to assist NLP research, language learning, and applications focused on Hindi language processing.
-
-The dataset is particularly valuable for:
-
-- Computational linguistics research
-- Natural language generation systems
-- Machine translation models
-- Language learning applications
-- Morphological analysis
-- Text generation and parsing
-
-## Dataset Structure
-
-The dataset contains the following columns:
-
-- `धातु` (Dhātu): The verb root/stem
-- `पद` (Pada): The form (परस्मैपद/आत्मनेपद)
-- `लकार` (Lakāra): The tense/mood (लट्/लिट्/लुट्/लृट्/लोट्/लङ्/विधिलिङ्/आशीर्लिङ्/लुङ्/लृङ्)
-- `पुरुष` (Puruṣa): The grammatical person (प्रथम/मध्यम/उत्तम)
-- `वचन` (Vacana): The grammatical number (एकवचन/द्विवचन/बहुवचन)
-- `रूप` (Rūpa): The resulting conjugated form
-
-## Dataset Statistics
-
-- Format: Available in parquet format
-- Split: Single train split (100% of data)
-
-## Example Entries
-
-| धातु (Verb) | पद (Form) | लकार (Tense) | पुरुष (Person) | वचन (Number) | रूप (Conjugated Form) |
-|------------|----------|-------------|--------------|------------|---------------------|
-| भू          | परस्मैपद  | लट्          | प्रथम         | एकवचन      | भवति                |
-| भू          | परस्मैपद  | लट्          | प्रथम         | द्विवचन     | भवतः                |
-| कृ          | आत्मनेपद  | लोट्         | उत्तम         | बहुवचन      | कुर्महै              |
-
-## Usage
-
-```python
-from datasets import load_dataset
-
-# Load the dataset
-dataset = load_dataset("Process-Venue/hindi-verb-forms")
-
-# Access the training split
-train_data = dataset["train"]
-
-# Get a sample
-sample = train_data[0]
-print(f"Verb root: {sample['धातु']}")
-print(f"Form: {sample['पद']}")
-print(f"Tense: {sample['लकार']}")
-print(f"Person: {sample['पुरुष']}")
-print(f"Number: {sample['वचन']}")
-print(f"Conjugated form: {sample['रूप']}")
-
-# Filter by specific verb
-bhuu_verb = train_data.filter(lambda example: example['धातु'] == 'भू')
-print(f"Number of forms for 'भू': {len(bhuu_verb)}")
-
-# Get all forms for a specific tense
-lat_tense = train_data.filter(lambda example: example['लकार'] == 'लट्')
-print(f"Number of verb forms in 'लट्' tense: {len(lat_tense)}")
-```
-
-## Source and Preparation
-
-This dataset was compiled from traditional Sanskrit and Hindi grammatical sources, following the Paninian system of verb conjugation. The data has been cleaned and structured to facilitate computational applications.
-
-## License
-
-This dataset is shared under [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
-
-## Citation
-
-If you use this dataset in your research or application, please cite:
-
-```
-@misc{hindi-verb-forms-dataset,
-  title={Hindi Verb Forms Dataset},
-  author={Process Venue},
-  year={2025},
-  howpublished={HuggingFace Datasets},
-  url={https://huggingface.co/datasets/Process-Venue/hindi-verb-forms},
-  website={https://www.processvenue.com/}
-}
-```
-
-## Contact
-
-We are here to help! Our team is ready to assist you with:
-
-- **Custom Dataset Creation**: Need specialized linguistic datasets? We can help you build them.
-- **Data Enhancement**: We can expand or customize this dataset for your specific requirements.
-- **Technical Support**: Questions about implementation or integration? We're happy to assist.
-- **Collaboration Opportunities**: Interested in partnering on language technology projects? Let's talk!
-
-For questions, suggestions, or personalized dataset requests, please:
-- Open an issue on the dataset repository
-- Contact us directly at: sales@processvenue.com
-- Visit our website: [www.processvenue.com](https://www.processvenue.com/)
-
+# Hindi Verb Forms Dataset (हिंदी धातु रूप संग्रह)
+
+## Overview
+
+description: |
+  A comprehensive dataset containing Sanskrit verb conjugations (dhatu roop) with 10,348 unique entries.
+  Each entry provides the complete information about a Sanskrit verb form, including:
+  
+  - धातु (Dhatu): The root verb
+  - पद (Pada): Voice of the verb (परस्मैपद/आत्मनेपद)
+  - लकार (Lakara): Tense/mood of the verb
+  - पुरुष (Purusha): Person (प्रथम/मध्यम/उत्तम)
+  - वचन (Vachana): Number (एकवचन/द्विवचन/बहुवचन)
+  - रूप (Roop): The actual conjugated form
+  
+  The dataset covers various verb roots with their complete conjugation patterns across different tenses,
+  moods, persons, and numbers, making it valuable for Sanskrit NLP tasks, linguistics research,
+  and educational applications for Sanskrit language learning.
+  
+  Applications:
+   - Natural Language Processing for Sanskrit
+   - Computational linguistics research
+   - Sanskrit language learning applications
+   - Automated verb conjugation systems
+   - Sanskrit text generation and analysis
+   - Sanskrit grammar verification tools
+
+# Dataset creation
+dataset_creation: |
+  The dataset was created by systematically collecting conjugations of Sanskrit verb roots (dhatus)
+  across different grammatical parameters. Each entry follows the traditional Sanskrit grammar rules
+  for verb conjugation. The dataset contains 10,348 unique combinations of dhatu, pada, lakara,
+  purusha, vachana, and the resulting conjugated form (roop).
+  
+  Data format includes six fields:
+  धातु,पद,लकार,पुरुष,वचन,रूप
+  
+  Example entry:
+  हु,परस्मैपद,लट्,प्रथम पुरुष,एकवचन,जुहोति
+
+## License
+
+This dataset is shared under [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
+
+## Citation
+
+If you use this dataset in your research or application, please cite:
+
+```
+@misc{hindi-verb-forms-dataset,
+  title={Sanskrit Verb Forms Dataset},
+  author={Process Venue},
+  year={2025},
+  howpublished={HuggingFace Datasets},
+  url={https://huggingface.co/datasets/Process-Venue/hindi-verb-forms},
+  website={https://www.processvenue.com/}
+}
+```
+
+## Contact
+
+We are here to help! Our team is ready to assist you with:
+
+- **Custom Dataset Creation**: Need specialized linguistic datasets? We can help you build them.
+- **Data Enhancement**: We can expand or customize this dataset for your specific requirements.
+- **Technical Support**: Questions about implementation or integration? We're happy to assist.
+- **Collaboration Opportunities**: Interested in partnering on language technology projects? Let's talk!
+
+For questions, suggestions, or personalized dataset requests, please:
+- Open an issue on the dataset repository
+- Contact us directly at: sales@processvenue.com
+- Visit our website: [www.processvenue.com](https://www.processvenue.com/)
+
 We welcome feedback and are committed to supporting the NLP and language learning communities.