THULab/kaggle_web_traffic_weekly
kaggle_web_traffic_weekly (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/4656664 Monash subset: kaggle_web_traffic_weekly… See the full description on the dataset page: https://huggingface.co/datasets/THULab/kaggle_web_traffic_weekly.
kagglewebtraffic_weekly (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/4656664
- Monash subset:
kaggle_web_traffic_weekly - Modalities: Time-series
- Source series: 145,063
- Rows: 16,537,182 flattened timestamped observations
- Frequency:
weekly - Forecast horizon metadata: 8
- Missing-values metadata: False
- Equal-length metadata: True
- Missing target values preserved as NaN: 0
- Series length range: 114 to 114
- TsFile output: 17 files (kagglewebtrafficweekly1.tsfile .. kagglewebtrafficweekly9.tsfile)
Files
kaggle_web_traffic_weekly_1.tsfilekaggle_web_traffic_weekly_10.tsfilekaggle_web_traffic_weekly_11.tsfilekaggle_web_traffic_weekly_12.tsfilekaggle_web_traffic_weekly_13.tsfilekaggle_web_traffic_weekly_14.tsfilekaggle_web_traffic_weekly_15.tsfilekaggle_web_traffic_weekly_16.tsfilekaggle_web_traffic_weekly_17.tsfilekaggle_web_traffic_weekly_2.tsfilekaggle_web_traffic_weekly_3.tsfilekaggle_web_traffic_weekly_4.tsfilekaggle_web_traffic_weekly_5.tsfilekaggle_web_traffic_weekly_6.tsfilekaggle_web_traffic_weekly_7.tsfilekaggle_web_traffic_weekly_8.tsfilekaggle_web_traffic_weekly_9.tsfile
TsFile Schema
Conversion Notes
- Each source
.tsfdata row is stored as one TsFile device. - Source
.tsfattributes are stored as TAG columns. - The
targetseries values are flattened into timestamped rows and stored as a FLOAT FIELD. Timeis synthesized from the source start timestamp and the.tsffrequency 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_weekly.
Reading Example
from tsfile import TsFileReader
reader = TsFileReader("kaggle_web_traffic_weekly_1.tsfile")
schemas = reader.get_all_table_schemas()