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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
2
+ license: apache-2.0
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+ dataset_info:
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+ features:
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+ - name: id
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+ dtype: int32
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+ - name: x
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+ dtype:
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+ array2_d:
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+ shape:
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+ - 24
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+ - 13
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+ dtype: float32
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+ - name: station
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+ dtype:
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+ class_label:
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+ names:
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+ '0': Aotizhongxin
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+ '1': Changping
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+ '2': Dingling
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+ '3': Dongsi
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+ '4': Guanyuan
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+ '5': Gucheng
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+ '6': Huairou
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+ '7': Nongzhanguan
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+ '8': Shunyi
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+ '9': Tiantan
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+ '10': Wanliu
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+ '11': Wanshouxigong
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+ - name: year
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+ dtype:
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+ class_label:
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+ names:
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+ '0': '2013'
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+ '1': '2014'
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+ '1': Autumn
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+ '2': Winter
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+ num_examples: 12272
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+ - name: val
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+ num_bytes: 3660960
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+ num_examples: 2630
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+ - name: test
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+ num_bytes: 3660960
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+ num_examples: 2630
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+ download_size: 9462423
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+ dataset_size: 24404544
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: val
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+ path: data/val-*
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+ - split: test
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+ path: data/test-*
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+ ---
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+
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+ ## MSD Beijing Multi-Site Air Quality Dataset Attribution
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+
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+ The Multi-factor Sequential Disentanglement benchmark includes the **Beijing Multi-Site Air Quality (BMS-AQ) dataset**, a time series dataset that captures daily air quality and weather measurements across multiple monitoring stations in Beijing.
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+
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+ - Original source:
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+ https://archive.ics.uci.edu/dataset/501/beijing+multi+site+air+quality+data
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+
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+ ```
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+ @misc{beijing_multi-site_air_quality_501,
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+ author = {Chen, Song},
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+ title = {{Beijing Multi-Site Air Quality}},
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+ year = {2017},
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+ howpublished = {UCI Machine Learning Repository},
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+ note = {{DOI}: https://doi.org/10.24432/C5RK5G}
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+ }
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+ ```
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+
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+
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+ ⚠ **Note:** We process and redistribute this dataset solely for non-commercial research purposes. Please cite the above paper when using this dataset in your work.