tsumkhan/south-asian-farmer-ai-blindspot
AI Agronomic Blind Spot: South Asian Farmers Q1. The blind spot Claim: a frontier-representative open model gives competent farming advice for Western conditions, measurably loses that competence when the exact same question is set in Pakistani Punjab, and collapses almost entirely when the question is asked in Roman Urdu. Frontier models are trained on the most common and widely available data, which is overwhelmingly Western-centric. That leaves a major blind… See the full description on the dataset page: https://huggingface.co/datasets/tsumkhan/south-asian-farmer-ai-blindspot.
| Author / organization | tsumkhan |
|---|---|
| License (as declared) | mit |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 21 October 2026 |
| Last updated at source | 21 October 2026 |
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Recent changes
- 21 Oct 2026 License: none → mit
- 21 Oct 2026 Description: license: mit language: [en, ur] tags: [evaluation, agriculture, bias, low-resource, south-asia] task_categories: [question-answering] AI Agronomic Blind Spot: South Asian Farmers Q1. The blind spot Claim: a frontier-representative open mode → AI Agronomic Blind Spot: South Asian Farmers Q1. The blind spot Claim: a frontier-representative open model gives competent farming advice for Western conditions, measurably loses that competence when the exact same question is set in Pakis
- 21 Oct 2026 Topics added task_categories:question-answering, evaluation, agriculture, bias, low-resource, south-asia
- 21 Oct 2026 Description: none → license: mit language: [en, ur] tags: [evaluation, agriculture, bias, low-resource, south-asia] task_categories: [question-answering] AI Agronomic Blind Spot: South Asian Farmers Q1. The blind spot Claim: a frontier-representative open mode
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