Joshyxwa/data_draft
TechJam 2026 Data Draft Dataset Summary This private research draft validates a binary image-classifier pipeline: the local data loader, feature extractor, classifier head, calibration step, and robustness evaluation. It is not a public benchmark, a claim of real-world detection quality, or part of the production 80k-master corpus. The package has 10,000 canonical RGB PNG images. Every image has a portable manifest record with a label, split, source provenance… See the full description on the dataset page: https://huggingface.co/datasets/Joshyxwa/data_draft.
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1{2 "asset_count": 10000,3 "labels": {4 "ai_full": 5000,5 "real": 50006 },7 "ok": true,8 "row_error_count": 0,9 "row_errors": [],10 "source_datasets": {11 "sid_set": 5000,12 "wildfake": 500013 },14 "split_leakage_error_count": 0,15 "split_leakage_errors": [],16 "splits": {17 "calibration": 1500,18 "dev": 1500,19 "train": 700020 }21}