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Datasets:
VGalaxies666
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temperature_rain

Tasks:
Time Series Forecasting
Sub-tasks:
univariate-time-series-forecasting
Tags:
time-series
forecasting
benchmark
monash-time-series-forecasting-repository
monash-tsf
tsfile
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metadata 
license: cc-by-4.0
annotations_creators:
  - no-annotation
language_creators:
  - found
multilinguality:
  - monolingual
source_datasets:
  - original
task_categories:
  - time-series-forecasting
task_ids:
  - univariate-time-series-forecasting
tags:
  - time-series
  - forecasting
  - benchmark
  - monash-time-series-forecasting-repository
  - monash-tsf
  - tsfile
  - apache-tsfile
  - modality:timeseries
  - Time-series
  - format:tsfile
pretty_name: temperature_rain (TsFile format)
configs:
  - config_name: default
    data_files:
      - split: train
        path: '*.tsfile'

temperature_rain (TsFile format)

32072 daily time series showing the temperature observations and rain forecasts, gathered by the Australian Bureau of Meteorology for 422 weather stations across Australia, between 02/05/2015 and 26/04/2017

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/5129073
  • Monash subset: temperature_rain
  • Modalities: Time-series
  • Source series: 32,072
  • Rows: 23,252,200 flattened timestamped observations
  • Frequency: daily
  • Forecast horizon metadata: not specified
  • Missing-values metadata: True
  • Equal-length metadata: True
  • Missing target values preserved as NaN: 598,837
  • Series length range: 725 to 725
  • TsFile output: 24 files (temperature_rain_1.tsfile .. temperature_rain_9.tsfile)

Files

  • temperature_rain_1.tsfile
  • temperature_rain_10.tsfile
  • temperature_rain_11.tsfile
  • temperature_rain_12.tsfile
  • temperature_rain_13.tsfile
  • temperature_rain_14.tsfile
  • temperature_rain_15.tsfile
  • temperature_rain_16.tsfile
  • temperature_rain_17.tsfile
  • temperature_rain_18.tsfile
  • temperature_rain_19.tsfile
  • temperature_rain_2.tsfile
  • temperature_rain_20.tsfile
  • temperature_rain_21.tsfile
  • temperature_rain_22.tsfile
  • temperature_rain_23.tsfile
  • temperature_rain_24.tsfile
  • temperature_rain_3.tsfile
  • temperature_rain_4.tsfile
  • temperature_rain_5.tsfile
  • temperature_rain_6.tsfile
  • temperature_rain_7.tsfile
  • temperature_rain_8.tsfile
  • temperature_rain_9.tsfile

TsFile Schema

Column Role TsFile type
Time TIME INT64
series_id TAG STRING
series_name TAG STRING
station_id TAG STRING
obs_or_fcst TAG STRING
start_timestamp TAG STRING
target FIELD FLOAT

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 temperature_rain.

Reading Example 

from tsfile import TsFileReader

reader = TsFileReader("temperature_rain_1.tsfile")
schemas = reader.get_all_table_schemas()