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README.md
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30,000 anonymized sessions of humans solving physics-based puzzle captchas. Each session captures mouse/touch trajectories, timing data, and puzzle state at physics-tick resolution. Suitable for bot detection research, human-computer interaction studies, and ML model training.
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Data was collected by Capycap, Inc. under a privacy policy disclosing collection practices, anonymization methods, and intended use for AI research. Users had the option to opt out of data storage.
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## Dataset Overview
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| Metric | Value |
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### Privacy & Anonymization
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- All coordinates are normalized to a 200×200 logical grid—raw screen coordinates were never stored
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- Render size was randomized per session, removing device-specific signatures
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- Sessions cannot be linked to individuals or correlated with each other
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30,000 anonymized sessions of humans solving physics-based puzzle captchas. Each session captures mouse/touch trajectories, timing data, and puzzle state at physics-tick resolution. Suitable for bot detection research, human-computer interaction studies, and ML model training.
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## Dataset Overview
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| Metric | Value |
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| 30 |
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### Privacy & Anonymization
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| 32 |
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| 33 |
+
Data was collected by Capycap, Inc. under a privacy policy disclosing collection practices, anonymization methods, and intended use for AI research. Users had the option to opt out of data storage.
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| 34 |
+
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| 35 |
- All coordinates are normalized to a 200×200 logical grid—raw screen coordinates were never stored
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| 36 |
- Render size was randomized per session, removing device-specific signatures
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| 37 |
- Sessions cannot be linked to individuals or correlated with each other
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