AgriGov: New Multilingual Dataset Created for Indian Agricultural Policy Information
Researchers have created AgriGov, a curated trilingual dataset (English, Hindi, Marathi) containing information about 50 Indian government agricultural schemes and farmer welfare programs. The dataset includes approximately 8,000 sentence-aligned parallel pairs created through automated scraping, machine translation, and human post-editing. The resource is designed to improve machine translation, question-answering, and information retrieval systems that help farmers access government scheme information.
AgriGov is a structured multilingual dataset developed to address the lack of domain-specific language resources for Indian agricultural policies. The dataset was constructed by collecting and organizing information from 50 government schemes sourced from official portals, with data structured into semantic fields such as eligibility criteria, application processes, required documents, and exclusions. The researchers used a hybrid translation approach combining Google Translate API, MarianMT, and human post-editing to create high-quality Hindi and Marathi translations of approximately 2,100 source segments. To expand coverage, they augmented the dataset with sentences from the Samanantar corpus, resulting in roughly 8,000 sentence-aligned parallel pairs. The dataset employs a schema-driven pipeline with human correction to ensure domain accuracy and provide clear data provenance, making it suitable for fine-tuning machine translation models and supporting retrieval-augmented applications for farmer-facing tools.
What's missing
The study does not discuss potential limitations of the dataset (e.g., coverage gaps across regions, temporal relevance of scheme information, or performance benchmarks on downstream tasks). The paper also does not specify plans for public release, licensing terms, or how the dataset will be maintained as government schemes evolve.
What different sources said
- arXiv cs.AICenter
AgriGov: A Structured Multilingual Dataset Curation for Indian Government Schemes for Farmers
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