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README: light-theme curves, split train | eval, shuffled vs curriculum

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  <img src="https://huggingface.co/datasets/FineEnvs/SmolDataEnvs-harbor-train/resolve/main/curves.gif" alt="Reward and held-out pass@k climbing over 1,119 GRPO steps" width="100%">
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- <sub>A 2B model on these tasks: reward, tool efficiency and held-out pass@k over 1,119 GRPO steps.</sub>
 
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  </div>
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  <img src="https://huggingface.co/datasets/FineEnvs/SmolDataEnvs-harbor-train/resolve/main/curves.gif" alt="Reward and held-out pass@k climbing over 1,119 GRPO steps" width="100%">
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+ <sub>A 2B model on these tasks. Left: what it optimises. Right: 144 held-out tasks it never trains on.<br>
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+ Two runs over the same 5,000 tasks — <b>shuffled</b> against a <b>curriculum</b> ordered easiest to hardest.</sub>
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  </div>
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