Sample from a multilingual Q&A corpus containing 6.7M+ question-answer pairs across English, Hindi, Arabic, and other languages for LLM training, RAG, NLP, and conversational AI development.
This dataset is a large-scale collection of Question Answering (QA) data, designed to support the development and training of advanced NLP systems and AI models for scientific understanding, reasoning, problem-solving, and educational learning in Hindi.
The dataset consists of multiple-choice question answering (MCQA) samples across core STEM domains including Physics, Mathematics, Chemistry, Biology, and General Science, enabling models to learn, reason, and generate accurate answers to domain-specific queries. Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows, improving model performance in multilingual QA and reasoning tasks.
Dataset Specification
-Modality: Hindi text (MCQ-based question-answer pairs with explanations)
-Type: Educational / STEM
-Data Nature: Real-world and curated data
-Content: Questions with options, correct answers, and explanations
Key Use Cases
-Question Answering (QA) in Hindi (MCQ-based)
-Named Entity Recognition (NER) in STEM content
-Automated tutoring and educational assistants
-STEM knowledge retrieval systems
-Model evaluation and benchmarking
Value of This Dataset
-Enables learning of STEM concepts in Hindi
-Improves reasoning capabilities of AI models
-Supports multilingual and domain-specific QA systems
-Helps build AI-powered educational platforms
-Enhances accuracy and reliability of LLMs in STEM domains
6.7M+ Questions / 1.8B+ Tokens
This scale provides extensive domain coverage, rich contextual learning, and significantly improves language understanding, reasoning, and model performance.
Data Creation
Procured through formal agreements and generated in the ordinary course of business.
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay.AI or contact us directly.
-Ph: (91) 8303174762
-Email: <datareq@infobay.ai>
Highlights
Sample from a large-scale multilingual Q&A corpus containing 6.7M+ question-answer pairs across English, Hindi, Arabic, and additional global languages for AI training and research.
Designed for LLM training, instruction tuning, supervised fine-tuning (SFT), RAG pipelines, conversational AI, NLP, and Generative AI applications requiring high-quality question-answer data.
Supports development of AI assistants, chatbots, knowledge retrieval systems, educational AI, multilingual foundation models, and human-aligned conversational AI systems.
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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This listing uses a single pricing dimension: Product Access, measured in Units. You buy access under a contract, and the number of Units you purchase sets your commitment. There are no separate tiers, instance sizes, or usage add-ons to compare. Pricing scales with the quantity of Units you select. This dimension grants subscribers access to the expert-verified training data product, which spans audio, textbook, healthcare, coding, and other corpus collections licensed by language, domain, and category.
Top-of-mind questions for buyers
What does one Unit of Product Access actually grant me?
A Unit grants access to the expert-verified training data product. The corpus is structured by language, domain, and category, so licenses can be scoped to combinations like a language plus a domain. Minimum license volumes apply. Contact the vendor to map Units to your specific data scope.
Can I license only specific languages or domain slices rather than the whole corpus?
Yes. The corpus is structured by language, domain, and category. Licenses can be scoped to a language plus a domain, or any combination you need. Minimum license volumes apply. Custom collection for languages or domains not in the standard catalogue is also available.
What delivery formats and data types are included with access?
Access spans twelve corpus collections: audio, video, textbooks, healthcare, Q&A, coding, image, and more. Delivery formats vary by type. Audio ships as WAV/FLAC with transcripts and metadata. Textbooks ship as JSONL and Parquet. Healthcare ships as DICOM and PDF. Coding ships as JSONL per language with taxonomy files.
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