THULab/kaggle_web_traffic

kagglewebtraffic (TsFile format)

145063 daily time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2017-09-10.

This repository contains the full source .tsf series from the Monash Time Series Forecasting Repository converted to Apache TsFile format.

Summary

• —Source dataset: `Monash-University/monash_tsf`
• —Original source: https://zenodo.org/record/4656080
• —Monash subset: kaggle_web_traffic
• —Modalities: Time-series
• —Source series: 145,063
• —Rows: 116,485,589 flattened timestamped observations
• —Frequency: daily
• —Forecast horizon metadata: 59
• —Missing-values metadata: True
• —Equal-length metadata: True
• —Missing target values preserved as NaN: 7,027,348
• —Series length range: 803 to 803
• —TsFile output: 117 files (kagglewebtraffic1.tsfile .. kagglewebtraffic99.tsfile)

Files

• —kaggle_web_traffic_1.tsfile
• —kaggle_web_traffic_10.tsfile
• —kaggle_web_traffic_100.tsfile
• —kaggle_web_traffic_101.tsfile
• —kaggle_web_traffic_102.tsfile
• —kaggle_web_traffic_103.tsfile
• —kaggle_web_traffic_104.tsfile
• —kaggle_web_traffic_105.tsfile
• —kaggle_web_traffic_106.tsfile
• —kaggle_web_traffic_107.tsfile
• —kaggle_web_traffic_108.tsfile
• —kaggle_web_traffic_109.tsfile
• —kaggle_web_traffic_11.tsfile
• —kaggle_web_traffic_110.tsfile
• —kaggle_web_traffic_111.tsfile
• —kaggle_web_traffic_112.tsfile
• —kaggle_web_traffic_113.tsfile
• —kaggle_web_traffic_114.tsfile
• —kaggle_web_traffic_115.tsfile
• —kaggle_web_traffic_116.tsfile
• —kaggle_web_traffic_117.tsfile
• —kaggle_web_traffic_12.tsfile
• —kaggle_web_traffic_13.tsfile
• —kaggle_web_traffic_14.tsfile
• —kaggle_web_traffic_15.tsfile
• —kaggle_web_traffic_16.tsfile
• —kaggle_web_traffic_17.tsfile
• —kaggle_web_traffic_18.tsfile
• —kaggle_web_traffic_19.tsfile
• —kaggle_web_traffic_2.tsfile
• —... 87 more .tsfile shards

TsFile Schema

Conversion Notes

• —Each source .tsf data row is stored as one TsFile device.
• —Source .tsf attributes are stored as TAG columns.
• —The target series values are flattened into timestamped rows and stored as a FLOAT FIELD.
• —Time is synthesized from the source start timestamp and the .tsf frequency metadata, with millisecond precision.
• —Large outputs may be sharded by the TsFile conversion tool; all listed shards belong to the same logical table kaggle_web_traffic.

Reading Example

from tsfile import TsFileReader

reader = TsFileReader("kaggle_web_traffic_1.tsfile")
schemas = reader.get_all_table_schemas()