ORGANISATION

BhashaBench-Krishi

BhashaBench-Krishi (BBK): Benchmarking AI on Indian Agricultural Knowledge

About Dataset

BhashaBench-Krishi (BBK) is the first large-scale, authentic benchmark designed to rigorously evaluate AI models on Indian agricultural knowledge. Tailored for India’s diverse agro-ecological zones, crops, languages, and farming practices, BBK draws from 55+ official government agricultural exams to assess models' ability to provide precise, region-aware, policy-relevant, and actionable agricultural advice. Key Features * Languages: English and Hindi (with plans for more Indic languages) * Exams: 55+ unique agricultural government and institutional exams across India * Domains: 25+ agricultural and allied science domains, spanning over 270 topics * Questions: 15,405 rigorously validated, exam-based questions * Difficulty Levels: Easy (6,754), Medium (6,941), Hard (1,710) * Question Types: Multiple Choice, Assertion-Reasoning, Match the Column, Rearrange the Sequence, Fill in the Blanks * Focus: Practical, context-rich, region-specific agricultural knowledge essential for Indian farmers

Purpose of Dataset

BhashaBench-Krishi fills a crucial gap in evaluating AI systems for India’s agricultural landscape one of the world’s most diverse, complex, and high-impact knowledge domains. As India accelerates its digital agriculture mission and farmers increasingly rely on AI-enabled advisory systems, this benchmark provides foundational tools for: * Assessing AI capability in real-world agricultural problem-solving, grounded in authentic government exam data * Developing region-aware, crop-specific, and policy-compliant agricultural AI solutions * Supporting scalable, evidence-based interventions for farming, climate resilience, and rural livelihoods * Preserving and digitizing India’s vast agricultural expertise across languages, disciplines, and ecological zones * Ensuring safety and reliability of AI systems deployed for farmer advisories, extension services, and agri-tech platforms