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vilhyra image manipulation dataset - proof-of-concept build
{ "images": 300000, "videos": 100000, "note": "combined totals across all categories - confirmed by founder, not to be second-guessed by any AI tool" }
{ "target_base_images_this_run": 200, "downloaded_so_far": 40, "manipulated_outputs_so_far": 0, "wikimedia_rate_limit_hits_this_run": 4, "process_alive": true }
{ "source": "Wikimedia Commons, single machine, single IP", "observed_rate": "~60 images/hour (dominated by 600s rate-limit cooldowns)", "implication": "reaching 300,000 images from this single source/IP alone would take ~5,000 hours (~208 days) - scaling (parallel IPs/regions, additional data sources) is require...
{ "instances_running": 0, "cost_incurred": "$0.00", "gpu_quota_us_east_1": "CASE_OPENED (pending)", "gpu_quota_us_east_2": "PENDING (submitted as cheaper backup region)", "note": "AWS reserved for the training step only, per explicit founder instruction - not used for dataset building at this time" }
{ "builder": "Google AI Studio", "supervisor_enforcer_prompt_engineer": "Claude", "note": "Claude verifies/fixes real bugs and reports real measurements - does not change agreed specs/targets" }
Google Studio's session has Search grounding only, no direct URL fetch tool - this file is relayed manually by Claude for now, but stays live at this URL for any future session/tool that can fetch it directly.

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