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