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End of preview. Expand in Data Studio
PEMS-STSGCN
Traffic-flow benchmark datasets used by STSGCN (Spatial-Temporal
Synchronous Graph Convolutional Networks, AAAI 2020), repackaged from the
original MXNet release
(Davidham3/STSGCN, verified against
commit 3f825f6) into Apache Parquet. 5-minute aggregated road traffic,
predicting the next hour from the past hour.
| Dataset | Timesteps | Sensors | Channels | Interval |
|---|---|---|---|---|
| PEMS03 | 26208 | 358 | flow | 5 min |
| PEMS04 | 16992 | 307 | flow, occupancy, speed | 5 min |
| PEMS07 | 28224 | 883 | flow | 5 min |
| PEMS08 | 17856 | 170 | flow, occupancy, speed | 5 min |
Files
Each dataset lives in its own folder with three tables:
<DS>/<DS>_series.parquet— one row per timestep; each value column (flow,occupancy,speedwhere available) is alist<float64>[N]of per-sensor readings, i.e. the original(T, N, C)tensor in row-major form. Stored as float64: bit-for-bit identical to the original.npz(occupancy / speed are fractional, so float32 would be lossy; zstd keeps the size low).<DS>/<DS>_edges.parquet— spatial network edge list (from_id,to_id,cost= road distance in metres); node ids index into the sensor axis of the series tensor.<DS>/<DS>_sensors.parquet— mapsnode_idto the original sensor id (only where the original release shipped the id list).
Usage
# zero-code tabular access (the `series` split is a `datasets.Dataset`)
from datasets import load_dataset
ds = load_dataset("your-org/pems-stsgcn", "PEMS04")["series"]
# or tensor-native loading via the stsgcn-torch package:
from stsgcn_torch.hub import load_series, load_edges
data = load_series("PEMS04", source="hf") # -> (T, N, C) ndarray
edges = load_edges("PEMS04", source="hf") # -> (M, 3) ndarray
Reconstruction is exact: np.stack([series["flow"]]) == original_npz[..., 0] bit-for-bit.
Provenance & license
Code conversion: scripts/build_hf_dataset.py of the
stsgcn_torch reimplementation; every file is verified bit-for-bit against
the original .npz / .csv by scripts/verify_hf_dataset.py. This packaging
is released under Apache-2.0; the underlying PEMS data originates from the
Caltrans Performance Measurement System (PeMS).
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