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+ ---
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+ license: other
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+ task_categories:
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+ - image-to-image
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+ tags:
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+ - novel-view-synthesis
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+ - autonomous-driving
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+ - lidar
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+ - multi-view
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ # MHDCSM/cv_ds
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+
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+ WebDataset-format shards of the autonomous driving novel-view-synthesis dataset.
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+
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+ Splits:
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+ - `train-*.tar` — training samples (includes ground-truth target images)
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+ - `test-*.tar` — test samples (no targets)
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+
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+ Each tar holds many samples. Per-sample files share a key (the `sample_id`):
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+
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+ | Suffix | Content |
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+ |--------|---------|
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+ | `meta.json` | camera poses, intrinsics, timestamps, target camera name |
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+ | `t0.<cam>.jpg`, `t1.<cam>.jpg` | 6 camera views per timestamp |
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+ | `lidar.npz` | dense world-frame point cloud (xyz, intensity) |
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+ | `target.<cam>.jpg` | ground-truth target image (train only) |
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+
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+ ## Streaming usage
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+
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+ ```python
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+ import webdataset as wds
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+ url = "https://huggingface.co/datasets/MHDCSM/cv_ds/resolve/main/train-{000000..NNNNNN}.tar"
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+ ds = wds.WebDataset(url).decode()
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+ for sample in ds:
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+ meta = sample["meta.json"]
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+ img = sample["t0.front.jpg"]
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+ ```