CUIP Smart City Data Challenge Dataset

2019

The 2019 CUIP Smart City Data Challenge Dataset will be released before the conference (date to be announced). Once the dataset is available, you may begin on your project! The dataset is subdivided into two main folders, each with subfolders. The file tree shall resemble something like this (though it may be reorganized however you wish):

air_quality_csv
Contains all data regarding air quality
all.csv
Aggregation of all data from all CSVs from all sensors
mlk-central
aq-mlk-central-2019-06-01.csv
aq-mlk-central-2019-06-02.csv
aq-mlk-central-2019-06-03.csv

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.
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aq-mlk-central-2019-06-21.csv
mlk-douglas
mlk-georgia
mlk-houston
mlk-lindsay
mlk-magnolia
mlk-peeples
video_event_csv
Contains all data regarding Vehicle Events
all.csv
Aggregation of all data from all CSVs from all intersections
mlk-central-cam-2
mlk-central-cam-2_2019-06-01.csv
mlk-central-cam-2_2019-06-02.csv
mlk-central-cam-2_2019-06-03.csv

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.
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mlk-central-cam-2_2019-06-21.csv
mlk-douglas-cam-1
mlk-douglas-cam-2
mlk-georgia-cam-1
mlk-georgia-cam-3
mlk-houston-cam-1
mlk-lindsay-cam-2
mlk-magnolia-cam-2
mlk-peeples-cam-1
mlk-peeples-cam-3
The Purple Air CSVs contain the following data:
  • current_dewpoint_f
  • current_humidity
  • current_temp_f
  • lat
  • lon
  • p_0_3_um
  • p_0_3_um_b
  • p_0_5_um
  • p_0_5_um_b
  • p_10_0_um
  • p_10_0_um_b
  • p_1_0_um
  • p_1_0_um_b
  • p_2_5_um
  • p_2_5_um_b
  • p_5_0_um
  • p_5_0_um_b
  • pm10_0_atm
  • pm10_0_atm_b
  • pm10_0_cf_1
  • pm10_0_cf_1_b
  • pm1_0_atm
  • pm1_0_atm_b
  • pm1_0_cf_1
  • pm1_0_cf_1_b
  • pm2_5_atm
  • pm2_5_atm_b
  • pm2_5_cf_1
  • pm2_5_cf_1_b
  • timestamp
  • nicename
  • timestamp-iso
The Video Event CSVs contain the following data:
  • camera_id
  • hit_counts
  • id
  • intersection
  • label
  • locations
  • pole_id
  • timestamp
  • timestamp-iso



The locations column contains a string that represents a JSON object, that will need to be programatically parsed. An example entry would look like:
  {
  	"locations": [{
  		'coords': [581.9640261342145, 493.9449577650083, 807.5537917529387, 641.7730330239198],
  		'timestamp': 1554141784675
  	}, {
  		'coords': [616.1716691452356, 506.94208926697877, 876.4607533342427, 678.5759850271378],
  		'timestamp': 1554141784843
  	}]
  }

This download is ~2.1GB (~8GB unzipped)

Click below for a one-hour preview (~4.2MB, ~12MB unzipped) of the same dataset