## 🌾 Dataset: Farmers Call Query Data (QA)
This dataset contains real-world queries and responses collected from farmers’ call / helpline systems. It is structured as a question-answer (QA) corpus focusing on agricultural topics, problems, and solutions.
---
### 📄 Files in this Repo
- **`knowledge_base.json`**
Contains structured entries derived from the dataset, each with:
- `question`: a farmer’s query
- `answer`: the corresponding response or advice
- Optional `metadata`: category, source, crop type, etc.
- **`processed_training_data.json`**
Contains cleaned and formatted data ready for model training. Each record has:
- `input`: formatted prompt or question (e.g. “What is the pest control method for maize?”)
- `output`: the target answer or solution
These files together support both inference (through retrieval) and training (via supervised learning) workflows using the Farmers Call Query Data.
