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Datasets:
pushthetempo
/
astana_traffic

Tasks:
Tabular Classification
Modalities:
Tabular
Text
Formats:
csv
Size:
< 1K
Tags:
flowmatic
smart-city
cleaned-data
hourly-partition
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
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Flowmatic Smart City Dataset

Flowmatic smart-city dataset with hourly UTC CSV partitions. 3 hour file(s), 500 total row(s). Files live under data/hourly/ and are indexed in data/hourly/manifest.json.

Pipeline run: cmpmwqy3j005joo3crz8pe451
Updated: 2026-05-26T17:27:13.937Z
Partition scheme: hourly-utc
Manifest: data/hourly/manifest.json

Hourly CSV layout

Rows are grouped by eventTime into one CSV per UTC hour:

  • Directory: data/hourly/
  • File pattern: YYYY-MM-DDTHH.csv (example: data/hourly/2026-05-21T14.csv)
  • Append exports merge only within the touched hour file(s), not the whole dataset.
Hour (UTC) File Rows Updated
2026-05-26 15:00–15:59 UTC data/hourly/2026-05-26T15.csv 424 2026-05-26T17:27:12.017Z
2026-05-26 16:00–16:59 UTC data/hourly/2026-05-26T16.csv 25 2026-05-26T17:27:12.949Z
2026-05-26 17:00–17:59 UTC data/hourly/2026-05-26T17.csv 51 2026-05-26T17:27:13.937Z

Preview (latest exported rows)

stage eventId eventTime sourceId sourceName sourceType sourceMode sensorType location city Latitude Severity latitude severity speedKmh Longitude Speed_kmh eventType longitude speed_kmh timestamp transport Event_Type confidence event_type sensorKind streamKind derivedFrom vehicleType vehicle_type trafficDensity Traffic_Density sourceTimestamp traffic_density
"cleaned" "76" "2026-05-26T17:26:41.448Z" "cmpmsl5eh0003qo3cjopanalb" "astana traffic" "WEBSOCKET" "SIMULATED" "traffic" "Astana" "Astana" 51.166809 "Low" 51.166809 "Low" 34 71.43913 34 "Normal" 71.43913 34 "2026-05-26T17:26:41.425Z" "WEBSOCKET" "Normal" 0.971 "Normal" "traffic" "astana_semi_synthetic" "astana_synthetic_data.csv" "Bus" "Bus" 69.2 69.2 "2024-06-23 00:07:22" 69.2
"cleaned" "75" "2026-05-26T17:26:40.424Z" "cmpmsl5eh0003qo3cjopanalb" "astana traffic" "WEBSOCKET" "SIMULATED" "traffic" "Astana" "Astana" 51.14724 "Low" 51.14724 "Low" 115 71.376652 115 "Normal" 71.376652 115 "2026-05-26T17:26:40.424Z" "WEBSOCKET" "Normal" 0.963 "Normal" "traffic" "astana_semi_synthetic" "astana_synthetic_data.csv" "Car" "Car" 62.47 62.47 "2024-06-22 23:54:44" 62.47
"cleaned" "74" "2026-05-26T17:26:39.422Z" "cmpmsl5eh0003qo3cjopanalb" "astana traffic" "WEBSOCKET" "SIMULATED" "traffic" "Astana" "Astana" 51.163067 "Low" 51.163067 "Low" 47 71.460097 47 "Normal" 71.460097 47 "2026-05-26T17:26:39.422Z" "WEBSOCKET" "Normal" 0.971 "Normal" "traffic" "astana_semi_synthetic" "astana_synthetic_data.csv" "Bicycle" "Bicycle" 66.64 66.64 "2024-06-22 23:46:30" 66.64
"cleaned" "73" "2026-05-26T17:26:38.420Z" "cmpmsl5eh0003qo3cjopanalb" "astana traffic" "WEBSOCKET" "SIMULATED" "traffic" "Astana" "Astana" 51.183151 "Low" 51.183151 "Low" 69 71.373224 69 "Normal" 71.373224 69 "2026-05-26T17:26:38.420Z" "WEBSOCKET" "Normal" 0.934 "Normal" "traffic" "astana_semi_synthetic" "astana_synthetic_data.csv" "Bus" "Bus" 58.75 58.75 "2024-06-22 23:38:36" 58.75
"cleaned" "72" "2026-05-26T17:26:37.422Z" "cmpmsl5eh0003qo3cjopanalb" "astana traffic" "WEBSOCKET" "SIMULATED" "traffic" "Astana" "Astana" 51.131677 "Low" 51.131677 "Low" 61 71.441112 61 "Normal" 71.441112 61 "2026-05-26T17:26:37.417Z" "WEBSOCKET" "Normal" 0.965 "Normal" "traffic" "astana_semi_synthetic" "astana_synthetic_data.csv" "Bus" "Bus" 57.98 57.98 "2024-06-22 23:19:37" 57.98

Usage 

from datasets import load_dataset

# Loads all hourly CSV parts as one split
ds = load_dataset("pushthetempo/astana_traffic", data_files="data/hourly/*.csv", split="train")
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