---
license: apache-2.0
model_info:
  features:
  - name: language
    dtype: string
  - name: query
    dtype: string
  - name: response
    dtype: string
  splits:
  - name: train
    num_bytes: 4798384
    num_examples: 22615
  download_size: 1969746
  model_size: 4798384
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- question-answering
tags:
- Agriculture
- ThriveAgric
- AOS
size_categories:
- 200<n<100K
language:
- en
- ha
---
# Model Card for Model Name

<!-- Provide a quick summary of the model. -->

This model contains language-query-response trio related to agriculture. The model can be used for tasks such as question answering, information retrieval, and natural language understanding in the agricultural domain. 
The query cover various aspects of agriculture, including crop, harvest, soil management, weather forecasting and other farming practices.

## Model Details
he model is structured as a collection of JSON files, with each file containing a list of language-query-response trio. Each language-query-response trio is represented as an object with the following keys:

- language: The text of the question.
- query: The text of the answer.
- response: The text of the answer.

### Model Description

<!-- Provide a longer summary of what this model is. -->
- **Curated by:** [Dozie Imo](https://huggingface.co/lucasdozie)
- **Language(s) (NLP):** English
- **License:** Apache 2.0

### Model Sources [optional]

The model was created by curating and aggregating questions and answers from various online resources related to agriculture, such as agricultural forums, websites, and FAQ sections. The data collection process involved manual curation and verification to ensure the quality and relevance of the question-answer pairs.