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Farmer Support QA Dataset

Finance & Banking Analytics

Tags and Keywords

Business

Text

Nlp

Agriculture

Conversation

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Farmer Support QA Dataset Dataset on Opendatabay data marketplace

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Free

About

The Farming FAQ Assistant Dataset is a curated, synthetic collection of 500 frequently asked questions related to agriculture. Its primary purpose is to help developers and researchers build AI-powered chatbots for farmers. The questions cover a diverse range of topics, including crop cultivation, irrigation, fertiliser use, pest management, soil health, and seasonal farming guidance. This dataset is ideal for training and fine-tuning Natural Language Processing (NLP) models, particularly those designed to serve rural communities or agricultural advisory systems.

Columns

  • Question: This column contains natural language queries commonly asked by farmers or agricultural workers. The questions are crafted in a conversational tone to reflect typical user interaction with voice or text-based assistants. It serves as the input or query part for the chatbot or AI model to understand and respond to. An example is: "What is the best time to plant rice?".
  • Answer: This column provides concise, informative answers directly aligned with the corresponding question. The responses are designed to be farmer-friendly, technically accurate yet easy to understand for non-experts. These answers are suitable for direct use in chatbot responses. An example is: "The best time to plant rice depends on your region, but generally it is during the monsoon season between June and July."

Distribution

This dataset contains 500 rows and 2 columns. The data file is typically provided in a CSV format.

Usage

This dataset is ideal for a variety of applications and use cases, including:
  • Training generative AI models or retrieval-based chatbots for agriculture support.
  • Creating voice assistants or mobile applications for rural farmers.
  • Fine-tuning transformer models (such as BERT, T5, or GPT) for domain-specific Question Answering (QA) tasks.
  • Developing multilingual farming advisors by translating the dataset into local languages (e.g., Hindi, Tamil, Telugu).

Coverage

The dataset's scope is global, addressing diverse agricultural topics. It covers general questions related to crop cultivation, irrigation, fertiliser use, pest management, soil health, and seasonal farming guidance. No specific time range or demographic group beyond "farmers" is specified, making it broadly applicable.

License

CC-BY

Who Can Use It

This dataset is primarily intended for:
  • Developers and researchers looking to build AI-powered chatbots for farmers.
  • Individuals and organisations aiming to train and fine-tune Natural Language Processing (NLP) models.
  • Those creating agricultural advisory systems or tools for rural communities.

Dataset Name Suggestions

  • Farming FAQ Assistant Dataset
  • Agriculture Chatbot Queries
  • Farmer Support QA Dataset
  • Agricultural Knowledge Base
  • Crop & Soil FAQ Data

Attributes

Original Data Source: Farming FAQ Assistant Dataset

Listing Stats

VIEWS

1

DOWNLOADS

1

LISTED

27/06/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format