Contamination Map Methodology

Time series / Model

TiRex-2-fevbench (TiRex-2-f)

Organisation
NXAI
Family
TiRex · version 2
Released
2026-07-01 (arXiv v1 submission date (https://arxiv.org/abs/2607.01204); HF repo created 2026-06-25 (HF API createdAt).)
Checkpoints
NX-AI/TiRex-2-fevbench
Weights
Open · apache-2.0
Links
PaperModel cardCode

Training data disclosure: Full list

Level determined for 100% of benchmark cells.

“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Other declared training data

Benchmark cells

GIFT-Eval

Not seen Jena Weather (GIFT-Eval) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Seen, split unclear BizITObs - Application · the dataset was used; the source does not say which part

Evidence (1)
“gift-eval/bizitobs_application”
arxiv.org · paper · Appendix E, Table 7 (GIFT-Eval cloud-operations datasets), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear BizITObs - Service · the dataset was used; the source does not say which part

Evidence (1)
“gift-eval/bizitobs_service”
arxiv.org · paper · Appendix E, Table 7 (GIFT-Eval cloud-operations datasets), TiRex-2-fev column · retrieved 2026-10-15

Not seen BizITObs - L2C · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Seen, split unclear Bitbrains - Fast Storage · the dataset was used; the source does not say which part

Evidence (1)
“gift-eval/bitbrains_fast_storage”
arxiv.org · paper · Appendix E, Table 7 (GIFT-Eval cloud-operations datasets), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear Bitbrains - rnd · the dataset was used; the source does not say which part

Evidence (1)
“gift-eval/bitbrains_rnd”
arxiv.org · paper · Appendix E, Table 7 (GIFT-Eval cloud-operations datasets), TiRex-2-fev column · retrieved 2026-10-15

Not seen Restaurant (Recruit Restaurant Visitor Forecasting) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen ETT1 (GIFT-Eval) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen ETT2 (GIFT-Eval) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen Loop Seattle (LibCity) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen SZ-Taxi (LibCity) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen M_DENSE (LibCity) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Related data seen Solar (LSTNet, 137 Alabama PV plants) · related dataset NREL Solar Power Data for Integration Studies (2006) was used

Evidence (3)
“chronos_datasets/solar”
arxiv.org · paper · Appendix E, Table 5 (autogluon/chronos_datasets), TiRex-2-fev column · retrieved 2026-10-15
“The uploaded dataset contains the aggregated version of a subset of the original dataset used by Lai et al. (2017).”
zenodo.org · dataset card · retrieved 2026-10-15
“Solar (5 Min., Hourly) contains data about solar power generation in the US in 2006. The original data has 5 minute frequency and was obtained from https://www.nrel.gov/grid/solar-power-data.html”
arxiv.org · paper · Appendix B · retrieved 2026-10-15

Not seen Hierarchical Sales (Mancuso et al., 2020) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Seen, split unclear M4 Yearly · the dataset was used; the source does not say which part

Evidence (1)
“lotsa_data/m4_yearly”
arxiv.org · paper · Appendix E, Table 4 (Salesforce/lotsa_data), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear M4 Quarterly · the dataset was used; the source does not say which part

Evidence (1)
“lotsa_data/m4_quarterly”
arxiv.org · paper · Appendix E, Table 4 (Salesforce/lotsa_data), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear M4 Monthly · the dataset was used; the source does not say which part

Evidence (1)
“chronos_datasets/m4_monthly”
arxiv.org · paper · Appendix E, Table 5 (autogluon/chronos_datasets), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear M4 Weekly · the dataset was used; the source does not say which part

Evidence (1)
“chronos_datasets/m4_weekly”
arxiv.org · paper · Appendix E, Table 5 (autogluon/chronos_datasets), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear M4 Daily · the dataset was used; the source does not say which part

Evidence (1)
“chronos_datasets/m4_daily”
arxiv.org · paper · Appendix E, Table 5 (autogluon/chronos_datasets), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear M4 Hourly · the dataset was used; the source does not say which part

Evidence (1)
“chronos_datasets/m4_hourly”
arxiv.org · paper · Appendix E, Table 5 (autogluon/chronos_datasets), TiRex-2-fev column · retrieved 2026-10-15

Not seen Hospital · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Seen, split unclear COVID Deaths · the dataset was used; the source does not say which part

Evidence (1)
“lotsa_data/covid_deaths”
arxiv.org · paper · Appendix E, Table 4 (Salesforce/lotsa_data), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear US Births · the dataset was used; the source does not say which part

Evidence (1)
“lotsa_data/us_births”
arxiv.org · paper · Appendix E, Table 4 (Salesforce/lotsa_data), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear Saugeen River Flow · the dataset was used; the source does not say which part

Evidence (1)
“lotsa_data/saugeenday”
arxiv.org · paper · Appendix E, Table 4 (Salesforce/lotsa_data), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear Temperature Rain · the dataset was used; the source does not say which part

Evidence (1)
“chronos_datasets/monash_temperature_rain”
arxiv.org · paper · Appendix E, Table 5 (autogluon/chronos_datasets), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear KDD Cup 2018 · the dataset was used; the source does not say which part

Evidence (1)
“chronos_datasets/monash_kdd_cup_2018”
arxiv.org · paper · Appendix E, Table 5 (autogluon/chronos_datasets), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear Car Parts · the dataset was used; the source does not say which part

Evidence (1)
“lotsa_data/car_parts_with_missing”
arxiv.org · paper · Appendix E, Table 4 (Salesforce/lotsa_data), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear ElectricityLoadDiagrams20112014 (UCI) · the dataset was used; the source does not say which part

Evidence (1)
“chronos_datasets/electricity_15min”
arxiv.org · paper · Appendix E, Table 5 (autogluon/chronos_datasets), TiRex-2-fev column · retrieved 2026-10-15

Long-horizon forecasting (ETT, Electricity, Traffic, Weather, Exchange, ILI)

Not seen ETTh1 · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen ETTh2 · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen ETTm1 · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen ETTm2 · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Seen, split unclear Electricity (ECL, 321 clients) · the dataset was used; the source does not say which part

Evidence (1)
“chronos_datasets/monash_electricity_hourly”
arxiv.org · paper · Appendix E, Table 5 (autogluon/chronos_datasets), TiRex-2-fev column · retrieved 2026-10-15

Seen, split unclear Traffic (PeMS San Francisco Bay, 862 sensors) · the dataset was used; the source does not say which part

Evidence (1)
“lotsa_data/traffic_hourly”
arxiv.org · paper · Appendix E, Table 4 (Salesforce/lotsa_data), TiRex-2-fev column · retrieved 2026-10-15

Not seen Weather (Jena, 2020; Autoformer) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Seen, split unclear Exchange-Rate · the dataset was used; the source does not say which part

Evidence (1)
“chronos_datasets/exchange_rate”
arxiv.org · paper · Appendix E, Table 5 (autogluon/chronos_datasets), TiRex-2-fev column · retrieved 2026-10-15

Related data seen ILI (CDC influenza-like illness, national) · related dataset CDC FluView ILINet (LOTSA) was used

Evidence (4)
“lotsa_data/cdc_fluview_ilinet”
arxiv.org · paper · Appendix E, Table 4 (Salesforce/lotsa_data), TiRex-2-fev column · retrieved 2026-10-15
“includes the weekly recorded influenza-like illness (ILI) patients data from Centers for Disease Control and Prevention of the United States between 2002 and 2021”
arxiv.org · paper · Section 4 (Datasets) · retrieved 2026-10-15
“https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html”
arxiv.org · paper · Section 4, footnote 4 · retrieved 2026-10-15
“CDC Fluview ILINet CDC Fluview WHO NREVSS”
arxiv.org · paper · Table 14 (dataset column) · retrieved 2026-10-15

Time-series anomaly detection

Not seen TSB-AD-U (TSB-AD univariate) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen TSB-AD-M (TSB-AD multivariate) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen UCR Time Series Anomaly Archive (Hexagon ML/UCR, KDD Cup 2021) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen Server Machine Dataset (SMD) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen Mars Science Laboratory (MSL) telemetry anomaly dataset · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen Soil Moisture Active Passive (SMAP) telemetry anomaly dataset · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen Pooled Server Metrics (PSM) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen Secure Water Treatment (SWaT) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen Yahoo S5 Labeled Anomaly Detection Dataset (Yahoo Webscope S5) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen Numenta Anomaly Benchmark (NAB) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Time-series classification

Not seen UCR Time Series Classification Archive (2018) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Not seen UEA Multivariate Time Series Classification Archive (2018) · absent from the complete list of training data

Evidence (4)
“Table 4: Training datasets — Salesforce/lotsa_data.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“Table 5: Training datasets — autogluon/chronos_datasets.”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“We additionally mix in, at a fixed rate of 1%, synthetic trajectories generated from dysts”
arxiv.org · paper · Appendix E · retrieved 2026-10-15
“The script always loads `NX-AI/TiRex-2-fevbench` from Hugging Face”
raw.githubusercontent.com · readme · examples/fevbench README · retrieved 2026-10-15

Notes

Paper's 'TiRex-2-fev' column (Tables 4-7). Notably includes four GIFT-Eval test datasets (bitbrains_fast_storage, bitbrains_rnd, bizitobs_application, bizitobs_service), BOOM data (filtered for leakage), and Chronos electricity_15min / monash_electricity_hourly / monash_traffic / exchange_rate (long-horizon source data); not meant for GIFT-Eval evaluation. Plus ~15M synthetic GP series and 1% dysts trajectories. Other stated exclusions, not tracked here: fev-bench (all).

Sources