Datasets:
annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality:
- monolingual
pretty_name: adaption-crop_diagnosis_reasoning
size_categories:
- 10K<n<100K
source_datasets:
- original
tags:
- adaption
- instruction-tuning
- agriculture
task_categories: []
task_ids: []
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-crop_diagnosis_reasoning
This dataset contains paired examples of agricultural field observations and structured diagnostic reasoning for various crop diseases and nutrient deficiencies. Each entry includes a detailed prompt describing symptoms and context, followed by a JSON completion that identifies the primary diagnosis, host crop, ruled-out alternatives, and distinguishing evidence. The content covers diverse crops like cotton, soybean, and tomato, focusing on differentiating between similar symptoms such as wilting types or nitrogen deficiency causes.
Dataset size
There are 27,959 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 -3.7%.
Domain
- Agriculture (100%)
Language
- English (100%)
Tone
- Analytical (72%)
- Technical (24%)
- Informative (4%)
Evaluation Results
Quality Gains:
Grade Improvement:
Percentile Chart:
