smerkd/point4d-train-data

Point4D training data Gated internal mirror. Each dataset lives under a neutral code (data-NNN/). Clip shards follow the p4d-1 / p4d-1.2 WebDataset format (one tar member per frame and modality, <shard>.idx.json member offsets for range reads), with a per-dataset data-NNN/meta.tar holding dataset.json (splits, licenses/provenance, conventions, depth_semantics, quality, multiview), index.parquet (one row per clip) and the shard indices. The exception is data-013, which holds… See the full description on the dataset page: https://huggingface.co/datasets/smerkd/point4d-train-data.

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