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[ { "column_encodings": [ "bytes", "str", "str", "json", "bytes" ], "column_names": [ "depth", "domain", "key", "meta", "rgb" ], "column_sizes": [ null, null, null, null, null ], "compression": null, ...
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ACDC 512px Consolidated MDS Dataset Shards

Dataset Summary

This dataset contains consolidated 512MB MosaicML Streaming (.mds) shards for ACDC, preprocessed for high-throughput monocular depth distillation (ZipDepth).

  • Domain: acdc
  • Shortest Edge: Strictly preserved at 512px ($\min(H, W) = 512\text{px}$).
  • Teacher Supervision: Pseudo-depth distilled with Depth-Anything-V2-Large-hf ($100%$ dense pixel coverage).
  • Compression: RGB JPEG (Quality 95) + 16-bit Unsigned PNG Depth (uint16, range $[0, 65535]$).
  • Shard Size Limit: 512MB per shard (high throughput, optimal for py1e block shuffling).

Loading with MosaicML Streaming

from streaming import StreamingDataset

dataset = StreamingDataset(
    remote="hf://datasets/Oriskany/acdc-mds-512px/train",
    local="/tmp/stream_cache/acdc/train",
    shuffle=True,
    shuffle_algo="py1e",
    shuffle_block_size=16384,
    batch_size=64
)

for sample in dataset:
    rgb_bytes = sample["rgb"]
    depth_bytes = sample["depth"]
    meta = sample["meta"]
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