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README.md
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##
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##
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---
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license: cc-by-4.0
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task_categories:
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- text-classification
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- text-generation
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- text2text-generation
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language:
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- hi
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tags:
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- antonyms
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- hindi
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- language-resources
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- nlp
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pretty_name: Hindi Antonyms Dataset
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size_categories:
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- 1K<n<10K
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---
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# Hindi Antonyms Dataset (हिंदी विलोम शब्दकोश)
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## Overview
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This dataset contains a comprehensive collection of Hindi words and their antonyms (विलोम शब्द). It is designed to assist NLP research, language learning, and applications focused on Hindi language processing. The dataset provides word-antonym pairs that can be used for tasks like:
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- Semantic analysis
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- Language learning and education
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- Text enrichment
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- Linguistic research
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- Vocabulary expansion
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## Dataset Structure
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The dataset contains the following columns:
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- `शब्द` (Word): The Hindi word
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- `विलोम` (Antonym): The antonym of the given word
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## Dataset Statistics
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- Total word pairs: ~2500
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- Format: Available in parquet format
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- Split: Single train split (100% of data)
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## Example Entries
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| शब्द (Word) | विलोम (Antonym) |
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|------------|-----------------|
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| अनादि | आदि |
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| अमृत | विष |
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| अकाल | सुकाल |
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| अंकुश | निरंकुश |
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| अनुकूल | प्रतिकूल |
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## Usage
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```python
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from datasets import load_dataset
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# Load the dataset
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dataset = load_dataset("Process-Venue/hindi-antonyms")
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# Access the training split
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train_data = dataset["train"]
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# Get a sample
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sample = train_data[0]
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print(f"Word: {sample['शब्द']}, Antonym: {sample['विलोम']}")
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```
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## Source and Preparation
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This dataset was compiled from various Hindi language resources and educational materials. It was converted from a text file to a structured parquet format with standardized train/validation/test splits to facilitate machine learning applications.
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## License
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This dataset is shared under [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
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## Citation
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If you use this dataset in your research or application, please cite:
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```
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@misc{hindi-antonyms-dataset,
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title={Hindi Antonyms Dataset},
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author={Process Venue},
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year={2025},
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howpublished={HuggingFace Datasets},
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url={https://huggingface.co/datasets/Process-Venue//hindi-antonyms}
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website={https://www.processvenue.com/}
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}
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```
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## Contact
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We are here to help! Our team is ready to assist you with:
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- **Custom Dataset Creation**: Need a specialized dataset? We can help you build it.
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- **Data Enhancement**: We can expand or customize this dataset for your specific requirements.
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- **Technical Support**: Questions about implementation or integration? We're happy to assist.
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- **Collaboration Opportunities**: Interested in partnering on language technology projects? Let's talk!
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For questions, suggestions, or personalized dataset requests, please:
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- Open an issue on the dataset repository
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- Contact us directly at: [email protected]
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- Visit our website: [www.processvenue.com](https://www.processvenue.com/)
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We welcome feedback and are committed to supporting the NLP and language learning communities.
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