annotations_creators: []
language:
- en
language_creators: []
license: []
multilinguality:
- monolingual
pretty_name: adaption-crop_disease_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_disease_reasoning
This dataset contains prompt-completion pairs for multi-constraint agricultural reasoning. Each case requires weighing crop, region, growth stage, season, recent weather, field distribution, and observed symptoms to compare plausible disease, nutrient, environmental, and management-related explanations. Preserve ambiguity where evidence is incomplete. Completions should identify the best-supported working diagnosis, explain how multiple variables interact, discuss the strongest competing explanation, recommend practical diagnostic or monitoring steps, and state what evidence would change the conclusion. Do not introduce facts absent from the case or supported source material. Avoid definitive diagnoses, named chemical treatments, application rates, invented thresholds, or region-specific claims unless explicitly provided. Keep recommendations concise, conditional, diagnostic-first, and safety-conscious.
Dataset size
There are 34,695 data points in this dataset. This is an instruction tuning dataset.
Quality of Remastered Dataset
The final quality is A, with a relative quality improvement of 4.4%.
Domain
- Agriculture (100%)
Language
- English (100%)
Tone
- Analytical (96%)
- Urgent (4%)
Evaluation Results
Quality Gains:
Grade Improvement:
Percentile Chart:
