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Datasets:
Process-Venue
/
hindi-antonyms

Tasks:
Text Classification
Text Generation
Text2Text Generation
Modalities:
Text
Formats:
parquet
Languages:
Hindi
Size:
1K - 10K
Tags:
antonyms
hindi
language-resources
nlp
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
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metadata
license: cc-by-4.0
task_categories:
  - text-classification
  - text-generation
  - text2text-generation
language:
  - hi
tags:
  - antonyms
  - hindi
  - language-resources
  - nlp
pretty_name: Hindi Antonyms Dataset
size_categories:
  - 1K<n<10K

Hindi Antonyms Dataset (हिंदी विलोम शब्दकोश)

Overview

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:

  • Semantic analysis
  • Language learning and education
  • Text enrichment
  • Linguistic research
  • Vocabulary expansion

Dataset Structure

The dataset contains the following columns:

  • शब्द (Word): The Hindi word
  • विलोम (Antonym): The antonym of the given word

Dataset Statistics

  • Total word pairs: ~2500
  • Format: Available in parquet format
  • Split: Single train split (100% of data)

Example Entries

शब्द (Word) विलोम (Antonym)
अनादि आदि
अमृत विष
अकाल सुकाल
अंकुश निरंकुश
अनुकूल प्रतिकूल

Usage 

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Process-Venue/hindi-antonyms")

# Access the training split
train_data = dataset["train"]

# Get a sample
sample = train_data[0]
print(f"Word: {sample['शब्द']}, Antonym: {sample['विलोम']}")

Source and Preparation

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.

License

This dataset is shared under Creative Commons Attribution 4.0 International License.

Citation

If you use this dataset in your research or application, please cite:

@misc{hindi-antonyms-dataset,
  title={Hindi Antonyms Dataset},
  author={Process Venue},
  year={2025},
  howpublished={HuggingFace Datasets},
  url={https://huggingface.co/datasets/Process-Venue//hindi-antonyms}
  website={https://www.processvenue.com/}
}

Contact

We are here to help! Our team is ready to assist you with:

  • Custom Dataset Creation: Need a specialized dataset? We can help you build it.
  • 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:

We welcome feedback and are committed to supporting the NLP and language learning communities.