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Add prepared soybean PointTransformer dataset (67 train, 11 test)

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point_transformer/README.md ADDED
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+ # Prepared soybean PointTransformer data
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+
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+ `soybean.tar.gz` contains 78 prepared samples: **67 train / 11 test**, no
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+ validation set, with 76,362,794 points. The archive is 2,239,573,703 bytes;
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+ extracted files occupy 4,276,590,506 bytes.
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+
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+ Derived from the segmented soybean point clouds in `sample_params.tar.gz`
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+ in TianhangCheng7/DemeterData using Demeter's
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+ `script_point_transformer/prepare_data.py`. This is a reproducible split for
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+ the preparation recipe, not a claim about the original paper's partition.
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+ Paired `_i` / `_o` scans stay in the same split.
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+
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+ From a clean Demeter checkout:
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+
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+ ```bash
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+ hf download TianhangCheng7/DemeterData point_transformer/soybean.tar.gz point_transformer/soybean.tar.gz.sha256 --repo-type dataset --local-dir outputs/downloads
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+ (cd outputs/downloads/point_transformer && sha256sum -c soybean.tar.gz.sha256)
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+ tar -xzf outputs/downloads/point_transformer/soybean.tar.gz
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+ ```
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+
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+ This restores `data/point_transformer/soybean/{train,test}/*.pth` and
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+ `manifest.json`. Existing data should be moved aside before extraction.
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+ The manifest preserves coordinate transforms, thresholds, labels, split
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+ lists and source-path provenance. Source paths need not exist on the new machine.
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+
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+ Each sample stores `coord`, `color`, `normal`, `semantic_gt5`, `instance_gt`,
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+ `inv_dists`, and `scene_id`. Load with
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+ `torch.load(path, map_location="cpu", weights_only=True)`.
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+ Coordinates are centered, normalized and aligned with the stem along +X;
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+ RGB is in [0, 1]. Semantic labels are 0 leaf, 1 other stem, 2 main stem,
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+ 3 flower, 4 fruit.
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+
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+ `inv_dists = T / max(d, T)`, where `d` is distance to the nearest point in
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+ another organ instance and `T` is twice the mean within-instance tenth-neighbor
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+ distance (including the point itself). See the repository's
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+ `script_point_transformer/readme.md` for full preprocessing details and
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+ training commands. Local CPU data checks passed; no training accuracy is claimed.
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point_transformer/soybean.tar.gz.sha256 ADDED
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