Gamestatue/adaption-india-crop-yield-qa-v1

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

adaption-indiacropyield_qa

This dataset contains question-answer pairs predicting crop yields across various Indian districts based on specific agricultural conditions like soil pH, organic carbon, rainfall, and temperature. The samples cover multiple crops including cotton, maize, barley, and pulses from 1966 to 2015, with answers providing estimated yields in kg/ha and explaining influencing factors. Some entries note missing weather data or estimated soil values derived from state averages.

Dataset size

There are 76,354 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 82.0%.

Domain

• —Agriculture (100%)

Language

• —English (100%)

Tone

• —Analytical (100%)

Evaluation Results

• —Quality Gains: <img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/3041fa07-638d-4aa0-a0e4-b6c98f2004c6.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/b066dbd8-c816-4b42-9457-09d5974589bc.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/48b3965e-3cbc-4f47-bcbd-af7e3e3ef1ad.png" alt="Percentile Chart" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />