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2018-01-01T00:00:00
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2018-01-01T00:00:00
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2018-01-01T00:00:00
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2018-01-01T00:00:00
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2018-01-01T00:00:00
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2018-01-01T00:00:00
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2018-01-01T00:00:00
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2018-01-01T00:00:00
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2018-01-01T00:00:00
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2018-01-01T00:00:00
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End of preview. Expand in Data Studio

World2TS Data

World2TS links real-world event context to individual time series. This release contains 31 event-annotation configurations with 4,179 series descriptions, 1,159 dataset-local events, and 56,846 event–series links. Numeric data.arrow files are included for 26 configurations (4,169 series) whose source terms support redistribution. The other five configurations retain their event layer and source attribution; their numeric observations are not hosted here.

Each configuration has dataset_info.json, unified_events.jsonl, and unified_event_series.jsonl. The 26 numeric configurations also have data.arrow. Download the three JSON/JSONL files directly for an annotation-only configuration. The Hub load_dataset configurations above cover the 26 Arrow files.

The event layer is retrospective context. An event link does not establish causality or guarantee that its information was available at a forecast origin. Users must check information availability before using events in prospective forecasting experiments. Event IDs are unique within a configuration, not across the whole repository.

Contents

Configuration Numeric source Series Events Links Arrow hosted
M_DENSE Salesforce/lotsa_data 30 53 1580 yes
PEMS_BAY Salesforce/lotsa_data 325 22 1313 yes
SHMETRO Salesforce/lotsa_data 576 6 2988 yes
SZ_TAXI Salesforce/lotsa_data 156 3 468 yes
australian_electricity_demand Salesforce/lotsa_data 5 180 507 yes
bdg-2_bear Salesforce/lotsa_data 91 59 4060 yes
bdg-2_fox Salesforce/lotsa_data 135 37 2833 yes
bdg-2_panther Salesforce/lotsa_data 105 27 1990 yes
bdg-2_rat Salesforce/lotsa_data 280 36 5892 yes
beijing_air_quality Salesforce/lotsa_data 132 54 4528 yes
bitcoin_with_missing Salesforce/lotsa_data 18 62 920 yes
bull Salesforce/lotsa_data 41 41 1243 yes
cdc_fluview_ilinet Salesforce/lotsa_data 316 19 2834 yes
covid_mobility Salesforce/lotsa_data 362 84 332 yes
kdd_cup_2018_with_missing Salesforce/lotsa_data 270 30 3798 yes
lcl Salesforce/lotsa_data 713 33 13547 yes
loop_seattle Salesforce/lotsa_data 323 29 4182 yes
los_loop Salesforce/lotsa_data 207 12 484 yes
oikolab_weather Salesforce/lotsa_data 8 16 128 yes
pedestrian_counts Salesforce/lotsa_data 66 129 2864 yes
sceaux Salesforce/lotsa_data 1 28 28 yes
smart Salesforce/lotsa_data 5 30 150 yes
spain Salesforce/lotsa_data 1 26 26 yes
crypto_bitcoin_daily coingecko 1 23 23 source only
energy_rwtc_daily eia 1 19 19 yes
finance_us_tech_daily yahoo 3 23 30 source only
health_covid_usa_daily owid 1 18 18 source only
macro_fred_dgs10_daily fred 1 11 11 yes
polymarket_fed_daily polymarket 1 24 24 source only
transport_us_proxy_daily yahoo 4 15 16 source only
weather_isd_jfk_tmp_hourly noaa_isd 1 10 10 yes

Licenses and source attribution

World2TS-authored dataset descriptions, series descriptions, event summaries, and event–series links are licensed under CC BY 4.0. Credit World2TS and cite the paper when reusing them. Source observations retain their own terms; CC BY 4.0 does not apply to data.arrow.

  • The 23 LOTSA-derived Arrow files come from Salesforce/lotsa_data revision 8191fd29eb5cf906ec55effca44d8059888b615d, whose dataset card specifies Apache 2.0. Cite Woo et al., Unified Training of Universal Time Series Forecasting Transformers (2024), and check any original source terms relevant to your use.
  • energy_rwtc_daily uses EIA data, which EIA permits to be redistributed with acknowledgment.
  • macro_fred_dgs10_daily uses FRED DGS10, marked public domain with citation requested; credit the Board of Governors and FRED.
  • weather_isd_jfk_tmp_hourly uses NOAA NCEI Global Hourly observations for the JFK station.
  • Raw observations from Yahoo Finance, CoinGecko, Our World in Data COVID, and Polymarket are omitted because redistribution rights for these specific extracts have not been established. See each configuration's source_url in release_manifest.json to obtain data under the source's terms.

This mixed-rights release uses the Hub metadata value license: other instead of assigning one license to every file. release_manifest.json lists the per-configuration rights decision. checksums.sha256 fixes every published file.

Citation

@misc{world2ts2026,
  title  = {World2TS: Real-World Event Context for Time-Series Forecasting},
  author = {Liu, Zhiding and Yang, Jiqian and Cheng, Mingyue and Li, Zhi and Chen, Enhong},
  year   = {2026},
  note   = {Dataset and project page},
  url    = {https://world2ts.github.io/}
}

Project page: https://world2ts.github.io/
Code: https://github.com/yangjq713/World2TS

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