Shravanthmvqwerty/adaption-agriintel-contextual-yield-reasoning-v1

This dataset is a remastered version prepared using Adaption's Adaptive Data platform.

adaption-AgriIntel-Contextual-Yield-Reasoning-v1

A deeply evolved, instruction-tuned agricultural dataset engineered for precision agronomy modeling. This dataset bridges the gap between raw regional telemetry and generative AI reasoning by synthesizing historical crop performance with static soil chemistry metrics (N, P, K, pH) and historical macro-climatic atmospheric data (annual rainfall, temperature, humidity). Utilizing Adaption's synthesis pipeline, the raw data columns have been expanded into detailed, natural-language prompts paired with multi-step agronomic reasoning traces to prevent catastrophic forgetting and optimize fine-tuning accuracy for edge-deployed models.

Dataset size

There are 19,671 data points in this dataset. This is an instruction tuning dataset..

Quality of Remastered Dataset

The final quality is C, with a relative quality improvement of 175.0%.

Domain

• —Agriculture (52%)
• —Cooking (38%)
• —Science (4%)

Language

• —English (54%)
• —Italian (10%)
• —French (10%)

Tone

• —Informative (94%)
• —Descriptive (2%)
• —Technical (2%)

Evaluation Results

• —Quality Gains: <img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/defc11dd-7cd6-4baa-9b8a-64e520b90cf1.png" alt="QualityGains" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />

• —Grade Improvement: <img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/2d65986f-ab4f-41f3-856e-53be90476113.png" alt="Grade" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />

• —Percentile Chart: <img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/5747777f-2463-4d2d-8d1a-30ceafe4679c.png" alt="Percentile Chart" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />