shards list | version int64 |
|---|---|
[
{
"column_encodings": [
"bytes",
"str",
"str",
"json",
"bytes"
],
"column_names": [
"depth",
"domain",
"key",
"meta",
"rgb"
],
"column_sizes": [
null,
null,
null,
null,
null
],
"compression": null,
... | 2 |
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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