Update README.md

README.md

@@ -1,4 +1,16 @@
-# Hindi Verb Forms Dataset (हिंदी धातु रूप संग्रह)
+---
+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
+---
+# Sanskrit Verb Forms Dataset (संस्कृत धातु रूप संग्रह)
 
 ## Overview
 
@@ -38,6 +50,36 @@ dataset_creation: |
   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/).
@@ -71,4 +113,4 @@ For questions, suggestions, or personalized dataset requests, please:
 - 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. 
+We welcome feedback and are committed to supporting the NLP and language learning communities.