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Add Space card

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  1. README.md +33 -5
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  ---
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- title: SFT V4 Dataset Viewer
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- emoji: 🐢
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- colorFrom: blue
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- colorTo: yellow
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  sdk: static
 
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  pinned: false
 
 
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ title: SFT v4 Dataset Viewer
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+ emoji: 🧭
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+ colorFrom: indigo
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+ colorTo: purple
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  sdk: static
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+ app_file: index.html
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  pinned: false
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+ license: mit
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+ short_description: Midtrain v4 SFT traces with repaired MR reasoning
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  ---
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+ # SFT v4 Dataset Viewer
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+
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+ Thirty meta-reasoning trajectories from the midtrain **v4** corpus, sampled
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+ across the full range of depth (2–11 layers) and judge score.
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+
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+ Each trajectory shows, layer by layer:
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+
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+ - the **MR reasoning** — the assistant target SFT trains on, with the
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+ directions it commits to;
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+ - the **executions** that pursued those directions, and their reports;
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+ - the **summaries retained into the frontier**, which is what the next layer
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+ plans over;
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+ - the **termination decision** and **final answer**, with the judge's verdict.
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+
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+ ## About the MR reasoning shown here
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+
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+ Deliberation originally visited directions in F2 *rank* order. Rank encodes the
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+ accept/reject decision, so the narrative came out sorted by disposition: every
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+ kept direction before every discarded one in 96% of layers, against 40% in the
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+ order the planner actually proposed them. Training on that teaches position
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+ rather than judgement.
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+
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+ The generator now follows F1's proposal order, and the affected records were
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+ regenerated. **This viewer shows only the repaired version** — trajectories
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+ whose MR had not been regenerated are excluded rather than displayed with the
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+ original ordering.