Shruks Analysis
Total Number of Shruks:
1552
Total Lines
8283
Total Number of Words:
35992
Total Number of Characters:
195236
2. Dataset Structure for NLP Tasks
You can use the Shruks dataset for various NLP tasks.
You can apply this methodology to any task, whether it's text classification, sentiment analysis, or machine translation.
4. Potential Use Cases for This Dataset
- Text Classification: Classifying Shruks into categories like moral lessons, nature, or philosophy.
- Text Generation: Training a model to generate Shruks.
- Sentiment Analysis: Analyzing the emotional tone of each Shruk.
- Machine Translation: Translating Shruks from Kashmiri to other languages.
- Named Entity Recognition: Extracting entities such as persons, places, and events from Shruks.
- **And more
5. Tools and Libraries to Use
- NLTK (Natural Language Toolkit): For tokenization, text cleaning, and pre-processing tasks.
- spaCy: For Named Entity Recognition, dependency parsing, and other NLP tasks.
- TensorFlow / PyTorch: For training machine learning models like text classification or translation models.
- Hugging Face Transformers: For training state-of-the-art models like BERT or GPT for various NLP tasks.
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