Contamination Map Methodology

Time series / Model

TiRex-2

Organisation
NXAI
Family
TiRex · version 2
Released
2026-07-01 (arXiv v1 submission date (https://arxiv.org/abs/2607.01204); HF repo NX-AI/TiRex-2 'Preliminary model checkpoint' commit 2026-06-16 (public visibility date unknown).)
Checkpoints
NX-AI/TiRex-2
Weights
Open · apache-2.0
Links
PaperModel cardCode

Training data disclosure: Partial list

Level determined for 0% of benchmark cells.

“autogluon/chronos_datasets”
huggingface.co · model card · model card metadata (datasets) · retrieved 2026-10-15
“Salesforce/lotsa_data”
huggingface.co · model card · model card metadata (datasets) · retrieved 2026-10-15
“The univariate data sources of our pre-training corpuses are inherited from TiRex and TiRex-1.1”
arxiv.org · paper · Appendix E · retrieved 2026-10-15

Other declared training data

Benchmark cells

GIFT-Eval

Unknown Jena Weather (GIFT-Eval) · training data not disclosed in enough detail

Unknown BizITObs - Application · training data not disclosed in enough detail

Unknown BizITObs - Service · training data not disclosed in enough detail

Unknown BizITObs - L2C · training data not disclosed in enough detail

Unknown Bitbrains - Fast Storage · training data not disclosed in enough detail

Unknown Bitbrains - rnd · training data not disclosed in enough detail

Unknown Restaurant (Recruit Restaurant Visitor Forecasting) · training data not disclosed in enough detail

Unknown ETT1 (GIFT-Eval) · training data not disclosed in enough detail

Unknown ETT2 (GIFT-Eval) · training data not disclosed in enough detail

Unknown Loop Seattle (LibCity) · training data not disclosed in enough detail

Unknown SZ-Taxi (LibCity) · training data not disclosed in enough detail

Unknown M_DENSE (LibCity) · training data not disclosed in enough detail

Unknown Solar (LSTNet, 137 Alabama PV plants) · training data not disclosed in enough detail

Unknown Hierarchical Sales (Mancuso et al., 2020) · training data not disclosed in enough detail

Unknown M4 Yearly · training data not disclosed in enough detail

Unknown M4 Quarterly · training data not disclosed in enough detail

Unknown M4 Monthly · training data not disclosed in enough detail

Unknown M4 Weekly · training data not disclosed in enough detail

Unknown M4 Daily · training data not disclosed in enough detail

Unknown M4 Hourly · training data not disclosed in enough detail

Unknown Hospital · training data not disclosed in enough detail

Unknown COVID Deaths · training data not disclosed in enough detail

Unknown US Births · training data not disclosed in enough detail

Unknown Saugeen River Flow · training data not disclosed in enough detail

Unknown Temperature Rain · training data not disclosed in enough detail

Unknown KDD Cup 2018 · training data not disclosed in enough detail

Unknown Car Parts · training data not disclosed in enough detail

Unknown ElectricityLoadDiagrams20112014 (UCI) · training data not disclosed in enough detail

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

Unknown ETTh1 · training data not disclosed in enough detail

Unknown ETTh2 · training data not disclosed in enough detail

Unknown ETTm1 · training data not disclosed in enough detail

Unknown ETTm2 · training data not disclosed in enough detail

Unknown Electricity (ECL, 321 clients) · training data not disclosed in enough detail

Unknown Traffic (PeMS San Francisco Bay, 862 sensors) · training data not disclosed in enough detail

Unknown Weather (Jena, 2020; Autoformer) · training data not disclosed in enough detail

Unknown Exchange-Rate · training data not disclosed in enough detail

Unknown ILI (CDC influenza-like illness, national) · training data not disclosed in enough detail

Time-series anomaly detection

Unknown TSB-AD-U (TSB-AD univariate) · training data not disclosed in enough detail

Unknown TSB-AD-M (TSB-AD multivariate) · training data not disclosed in enough detail

Unknown UCR Time Series Anomaly Archive (Hexagon ML/UCR, KDD Cup 2021) · training data not disclosed in enough detail

Unknown Server Machine Dataset (SMD) · training data not disclosed in enough detail

Unknown Mars Science Laboratory (MSL) telemetry anomaly dataset · training data not disclosed in enough detail

Unknown Soil Moisture Active Passive (SMAP) telemetry anomaly dataset · training data not disclosed in enough detail

Unknown Pooled Server Metrics (PSM) · training data not disclosed in enough detail

Unknown Secure Water Treatment (SWaT) · training data not disclosed in enough detail

Unknown Yahoo S5 Labeled Anomaly Detection Dataset (Yahoo Webscope S5) · training data not disclosed in enough detail

Unknown Numenta Anomaly Benchmark (NAB) · training data not disclosed in enough detail

Time-series classification

Unknown UCR Time Series Classification Archive (2018) · training data not disclosed in enough detail

Unknown UEA Multivariate Time Series Classification Archive (2018) · training data not disclosed in enough detail

Notes

Main release (38.4M univariate + 44.1M multivariate active parameters). The card presents the -gifteval-zs/-gifteval-pretrain/-fevbench variants as 'decontaminated versions', implying the main checkpoint is not decontaminated for GIFT-Eval or fev-bench. Pretraining also uses ~15M synthetic GP series, 1% dysts chaotic trajectories, and a synthetic multivariate coupling pipeline.

Sources