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+ ---
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+ license: mit
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+ task: image-to-parameter
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+ tags:
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+ - black-hole
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+ - gravitational-lensing
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+ - simulation
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+ - webxos
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+ - multi-modal
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+ - time-lapse
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+ datasets:
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+ - webxOS/blackhole
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+ ---
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+
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+ # webxOS Black Hole Time-Lapse Dataset
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+
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+ This dataset contains synthetic black hole renderings with gravitational lensing, generated by a Three.js simulation in webxOS. Each sample includes a time-lapse sequence of PNG images and associated physical parameters.
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+
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+ ## Structure
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+ - `images/`: PNG frames named `sample_X_frame_Y.png`
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+ - `metadata.json`: JSON array with per-frame entries including mass, pulse speed, virtual time, lensing samples, and image file name.
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+
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+ ## Usage
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+ Ideal for multi-modal model training (image + parameter regression), physics-inspired ML, or satellite image study analogies.
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+
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+ ## Fields
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+ - `sample_id`: int
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+ - `frame_id`: int (time step)
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+ - `mass`: gravitational lensing strength (0.05–0.5)
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+ - `pulse_speed`: animation speed factor (0.2–2.5)
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+ - `virtual_time`: simulated time in seconds
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+ - `image_file`: relative path to PNG
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+ - `lensing_samples`: array of 120 radial bending values (emulated)
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+
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+ Generated by webxOS Blackhole Generator.
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