Sold by: InfoBay AI Ltd.
Deployed on AWS
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.
Overview
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
Basic JSON Schema
{ "section": "string", "answer_type": "string", "q_string": "string", "q_option": "string", "q_answer": "string", "q_exp": "string", "lang_code": "string", "category": "string" }
Full Dataset Overview
9.2M+ 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.
Phone: (91) 9236398619 Email: datareq@infobay.ai
Highlights
- Sample from a large-scale multilingual Q&A corpus containing 9.2M+ 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.
Details
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Pricing
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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Dimension | Description | Cost/month | Cost savings % |
|---|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $0.00 | 100% |
Dimensions summary
This listing uses a single pricing dimension: Product Access, billed in units through a contract. You buy units that grant access to the Q&A dataset covering STEM, non-STEM, exam, and multilingual content. There are no separate tiers or instance sizes to choose from. Your cost scales with the number of access units you commit to under the contract term. Licenses can be scoped by language, domain, or category, and minimum license volumes apply. Contact the vendor to match unit quantity to your specific data needs.
Top-of-mind questions for buyers
A unit grants access to the licensed portion of the Q&A corpus you select. The corpus is structured by language, domain, and category, so you can scope access to specific slices like STEM, non-STEM, exam, or multilingual content. Minimum license volumes apply to each scoped selection.
Yes. The corpus is organized by language, domain, and category, so licenses can be scoped to specific combinations such as one language plus one subject area. Minimum license volumes apply. Sample packs are available before full licensing. Contact the vendor to define the slice you need.
Dataset content is delivered in structured file formats with metadata manifests. Textbook and reasoning data uses JSONL and Parquet manifests compatible with common training frameworks. Each example carries provenance documentation for compliance review. Contact the vendor to confirm the exact format for your scoped Q&A selection.
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Delivery details
AWS Data Exchange (ADX)
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Question and Answer with Explanation | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
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https://tfhub.dev/google/universal-sentence-encoder-multilingual/1