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Description
Digital Green's FarmerChat dataset contains 1,446,866 English question-and-answer pairs from a conversational AI assistant serving over 1.2 million farmers. The data spans from August 2024 to June 2026, with contributions from farmers in India, Kenya, Nigeria, and Ethiopia. It was published by the organization DigiGreen.
Use Cases
Training domain-specific language models based on farmer queries and AI responses.
Analyzing regional agricultural concerns based on the geographic distribution of questions.
Benchmarking question-answering systems for agricultural knowledge.
Studying the linguistic patterns and information needs of farmers in India and East Africa.
Strengths
Large scale with 1,446,866 Q&A pairs.
Specific geographic coverage across India, Kenya, Nigeria, and Ethiopia.
Clear temporal coverage from August 2024 to June 2026.
Serves a defined user base of over 1.2 million farmers.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Data may reflect geographic and temporal bias inherent to the FarmerChat platform's user base.
Row count for specific countries beyond Kenya and Nigeria is not fully detailed in the provided metadata.
Provenance
Source
Digital Green (DigiGreen) via the FarmerChat AI assistant.
Collection Method
Likely contains queries submitted by farmers and corresponding AI-generated responses.
Time Range
August 2024 — June 2026
Freshness
Last updated 2026-06-04 15:02:31; freshness should be verified.
Geography
India, Kenya, Nigeria, Ethiopia, and other regions.
License is unknown; terms of use must be verified before application.