Datasets:
annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality:
- monolingual
pretty_name: adaption-african_smallholder_agri_qa
size_categories:
- 10K<n<100K
source_datasets:
- >-
extended|https://huggingface.co/datasets/gimmy256/adaption-agriculture-africa
tags:
- adaption
- instruction-tuning
- agriculture
- personal-finance
task_categories: []
task_ids: []
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
adaption-african_smallholder_agri_qa
This instruction-tuning dataset contains 96 question-answer pairs focused on smallholder farming practices across East and West Africa. The content covers critical topics such as agri-finance, crop management, extension services, and market dynamics specific to countries like Kenya, Uganda, Tanzania, and Nigeria. Generated using search-grounded AI models, the data provides actionable advice on challenges ranging from soil acidity and post-harvest losses to accessing mobile money loans and improved seeds.
Dataset size
There are 27,986 data points in this dataset. This is an instruction tuning dataset.
Quality of Remastered Dataset
The final quality is B, with a relative quality improvement of 24.3%.
Domain
- Agriculture (98%)
- Personal-finance (2%)
Language
- English (100%)
Tone
- Informative (50%)
- Practical (30%)
- Analytical (14%)
Evaluation Results
Quality Gains:
Grade Improvement:
Percentile Chart:
