README.md

---
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
- text-generation
- text2text-generation
language:
- sa
pretty_name: Sanskrit Verb Forms Dataset
size_categories:
- 10K<n<100K
tags:
- Indic
- Sanskrit
- IndiaAI
---
# Sanskrit Verb Forms Dataset (संस्कृत 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

## 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)}")
```


## 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.