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Showcase media (gifs + 720p mp4s) and Video(decode=False) snippets

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  1. README.md +11 -7
README.md CHANGED
@@ -55,17 +55,21 @@ configs:
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  # CounterStrike-1K
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  <p align="center">
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- <img src="media/multi_pov_with_actions.gif" alt="10 synchronized POVs with per-frame action HUD overlays" width="100%"/>
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  </p>
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  **1,490 rendered POV-hours · 7,347 synchronized rounds · 73,470 POV clips · 7 maps · 720p + audio**
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- <table align="center">
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- <tr>
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- <td align="center" width="50%"><img src="media/seven_maps.gif" alt="Seven active-duty maps" width="100%"/><br/><sub>Seven active-duty maps</sub></td>
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- <td align="center" width="50%"><img src="media/introduction_video_wall_1000_hours.gif" alt="100+ POV video wall — 1,000 hours" width="100%"/><br/><sub>Scale: 1,000-hour POV wall</sub></td>
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- </tr>
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- </table>
 
 
 
 
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  CounterStrike-1K is the first grounded, professional-grade Counter-Strike 2 dataset with **10 synchronized first-person perspectives per round**, captured from professional match demos. It is designed for video world modeling, action-conditioned video prediction, multi-view consistency research, and audio-conditioned learning.
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  # CounterStrike-1K
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  <p align="center">
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+ <img src="media/introduction_video_wall_1000_hours.gif" alt="100+ POV video wall 1,000+ hours of professional play" width="100%"/>
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  </p>
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  **1,490 rendered POV-hours · 7,347 synchronized rounds · 73,470 POV clips · 7 maps · 720p + audio**
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+ <h3 align="center">Synchronized 10-POV rounds with per-frame action overlays</h3>
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+ <p align="center">
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+ <img src="media/multi_pov_with_actions.gif" alt="10 synchronized POVs with per-frame action HUD overlays" width="100%"/>
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+ </p>
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+
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+ <h3 align="center">Seven active-duty maps</h3>
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+ <p align="center">
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+ <img src="media/seven_maps.gif" alt="Ancient · Anubis · Dust2 · Inferno · Mirage · Nuke · Overpass" width="100%"/><br/>
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+ <sub>Ancient · Anubis · Dust2 · Inferno · Mirage · Nuke · Overpass</sub>
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+ </p>
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  CounterStrike-1K is the first grounded, professional-grade Counter-Strike 2 dataset with **10 synchronized first-person perspectives per round**, captured from professional match demos. It is designed for video world modeling, action-conditioned video prediction, multi-view consistency research, and audio-conditioned learning.
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