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Hindi language Q&A dataset
Updated May 7, 2025A comprehensive Hindi language dataset with over 1,000 expert-validated multiple-choice question-answer pairs. The dataset spans three difficulty levels of core topics and is ideal for fine-tuning and benchmarking your models for better linguistic capabilities.
Specifications
- Modalities
- Text
- Language
- Hindi
- Volume
- 1,000+
- Average token per PRP
- 71
- Number of tokens
- 72,846
- Task category
- Questions & Answers
- Domain
- Generalist
- Complexity
- 3 levels ranging from moderate to very hard
Accelerate model development & training processes
Broad linguistic coverage
Spanning 15 topic areas, from anekarthak shabd (polysemy) and vilomarthak shabd (antonyms) to paribhashik shabdavali (technical terms) and vakya vichar (sentence analysis), this dataset empowers models to learn linguistic concepts with depth and nuance.
Expertly-curated and verified data
All question‑answer pairs are authored and reviewed by seasoned Hindi language educators and linguists, ensuring pedagogically sound content, accurate grammar usage and authentic language examples suitable for wide AI model applications.
Confidently train and evaluate
Structured as multiple‑choice Q&A across three difficulty levels, this dataset is perfect for both enhancing and evaluating your model’s Hindi linguistic accuracy, formatting, efficiency and generalization.
Explore our success stories
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4485Physics prompt-response pairs
9606Math prompt-response pairs
Improving large language model logic and reasoning with a specialized fine-tuning dataset
Explore how TELUS Digital created an off-the-shelf dataset to advance the capabilities of large language models (LLMs).
50KSTEM-based prompt-response pairs created
300Highly-skilled contributors
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