license: apache-2.0
dataset_info:
features:
- name: id
dtype: int32
- name: x
dtype:
array2_d:
shape:
- 24
- 13
dtype: float32
- name: station
dtype:
class_label:
names:
'0': Aotizhongxin
'1': Changping
'2': Dingling
'3': Dongsi
'4': Guanyuan
'5': Gucheng
'6': Huairou
'7': Nongzhanguan
'8': Shunyi
'9': Tiantan
'10': Wanliu
'11': Wanshouxigong
- name: year
dtype:
class_label:
names:
'0': '2013'
'1': '2014'
'2': '2015'
'3': '2016'
'4': '2017'
- name: month
dtype:
class_label:
names:
'0': '1'
'1': '2'
'2': '3'
'3': '4'
'4': '5'
'5': '6'
'6': '7'
'7': '8'
'8': '9'
'9': '10'
'10': '11'
'11': '12'
- name: day
dtype:
class_label:
names:
'0': '1'
'1': '2'
'2': '3'
'3': '4'
'4': '5'
'5': '6'
'6': '7'
'7': '8'
'8': '9'
'9': '10'
'10': '11'
'11': '12'
'12': '13'
'13': '14'
'14': '15'
'15': '16'
'16': '17'
'17': '18'
'18': '19'
'19': '20'
'20': '21'
'21': '22'
'22': '23'
'23': '24'
'24': '25'
'25': '26'
'26': '27'
'27': '28'
'28': '29'
'29': '30'
'30': '31'
- name: season
dtype:
class_label:
names:
'0': Summer
'1': Autumn
'2': Winter
'3': Spring
splits:
- name: train
num_bytes: 17082624
num_examples: 12272
- name: val
num_bytes: 3660960
num_examples: 2630
- name: test
num_bytes: 3660960
num_examples: 2630
download_size: 9437882
dataset_size: 24404544
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
- split: test
path: data/test-*
MSD Beijing Multi-Site Air Quality Dataset Attribution
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. For the benchmark, we preprocess this data into daily sequences of 24 hourly records, grouped by station and date. Each sequence is labeled with static attributes such as station, year, month, day, and season, resulting in a temporal dataset suitable for studying disentanglement in real-world time series.
Original source:
https://archive.ics.uci.edu/dataset/501/beijing+multi+site+air+quality+data@misc{beijing_multi-site_air_quality_501, author = {Chen, Song}, title = {{Beijing Multi-Site Air Quality}}, year = {2017}, howpublished = {UCI Machine Learning Repository}, note = {{DOI}: https://doi.org/10.24432/C5RK5G} }
⚠ 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.