Datasets:
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README.md
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## Usage
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```python
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from datasets import load_dataset
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# Load training split (2021–2023)
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ds = load_dataset("xuxing123/AirQualityBench", "train", streaming=True)
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for row in ds.take(5):
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print(row["values"].shape) # (3720, 6)
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print(row["masks"].shape) # (3720, 6)
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```
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### Direct HDF5 access (recommended for training)
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```python
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import h5py
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with h5py.File("aq_compact_2021.h5", "r") as f:
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values = f["values"][:]
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masks = f["masks"][:]
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```
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## Benchmark Code
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## Usage
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This dataset uses the HDF5 format with multiple internal arrays of different shapes, which is incompatible with the `datasets` library's HDF5 loader. Use `h5py` to read the files directly:
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```python
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import h5py
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with h5py.File("aq_compact_2021.h5", "r") as f:
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values = f["values"][:] # (T, 3720, 6) float32
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masks = f["masks"][:] # (T, 3720, 6) bool
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params = f["params"][:] # (6,) pollutant names
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station_ids = f["station_ids"][:] # (3720,) station IDs
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```
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## Benchmark Code
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