Contamination Map Methodology

Time series / Model

TiRex

Organisation
NXAI
Family
TiRex · version 1.0
Released
2025-05-29 (arXiv v1 submission date (https://arxiv.org/abs/2505.23719); HF repo NX-AI/TiRex initial commit 2025-05-26 (HF commit history).)
Checkpoints
NX-AI/TiRex
Weights
Open · NXAI community license (license: other, nx-ai-community-license)
Links
PaperModel cardCode

Training data disclosure: Full list

Level determined for 100% of benchmark cells.

“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · 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 (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

Not seen Bitbrains - Fast Storage · absent from the complete list of training data

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

Not seen Bitbrains - rnd · absent from the complete list of training data

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · 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)
“Solar (5 Min.)”
arxiv.org · paper · Appendix C.2, Table 5 (Chronos training datasets) · 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 (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

Not seen M4 Yearly · absent from the complete list of training data

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

Not seen M4 Quarterly · absent from the complete list of training data

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (1)
“M4 (Monthly)”
arxiv.org · paper · Appendix C.2, Table 5 (Chronos training datasets) · retrieved 2026-10-15

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

Evidence (1)
“M4 (Weekly)”
arxiv.org · paper · Appendix C.2, Table 5 (Chronos training datasets) · retrieved 2026-10-15

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

Evidence (1)
“M4 (Daily)”
arxiv.org · paper · Appendix C.2, Table 5 (Chronos training datasets) · retrieved 2026-10-15

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

Evidence (1)
“M4 (Hourly)”
arxiv.org · paper · Appendix C.2, Table 5 (Chronos training datasets) · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

Not seen COVID Deaths · absent from the complete list of training data

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

Not seen US Births · absent from the complete list of training data

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

Not seen Saugeen River Flow · absent from the complete list of training data

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (1)
“Temperature-Rain”
arxiv.org · paper · Appendix C.2, Table 5 (Chronos training datasets) · retrieved 2026-10-15

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

Evidence (1)
“KDD Cup 2018”
arxiv.org · paper · Appendix C.2, Table 5 (Chronos training datasets) · retrieved 2026-10-15

Not seen Car Parts · absent from the complete list of training data

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (1)
“Electricity (15 Min.)”
arxiv.org · paper · Appendix C.2, Table 5 (Chronos training datasets) · 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 (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (1)
“Electricity (Hourly)”
arxiv.org · paper · Appendix C.2, Table 5 (Chronos training datasets) · retrieved 2026-10-15

Related data seen Traffic (PeMS San Francisco Bay, 862 sensors) · related dataset LargeST (PeMS California) was used

Evidence (2)
“largest 2017”
arxiv.org · paper · Appendix C.2, Table 6 (GiftEval pre-training subset) · retrieved 2026-10-15
“The PeMS is a popular source of data for many traffic forecasting datasets such as PEMS03, PEMS04, PEMS07, PEMS08, and PEMS Bay, as well as the popular Traffic dataset from (Lai et al., 2018).”
arxiv.org · paper · Appendix A, LargeST · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

Not seen Exchange-Rate · absent from the complete list of training data

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (4)
“cdc fluview ilinet”
arxiv.org · paper · Appendix C.2, Table 6 (GiftEval pre-training subset) · 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 (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · 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 (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

Time-series classification

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

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

Evidence (5)
“Our training dataset has three components:”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 5: Training Datasets published by Ansari et al. (2024a)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“Table 6: Subset of pre-training datasets published by Aksu et al. (2024)”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“2. Synthetic Gaussian Process Data (15 million time series): Inspired by KernelSynth”
arxiv.org · paper · Appendix C.2 · retrieved 2026-10-15
“In total, 16 out of the 97 evaluation settings in GiftEval overlap with those used for pre-training in our work (i.e., the Chronos pre-train collection).”
arxiv.org · paper · Appendix D · retrieved 2026-10-15

Notes

Not decontaminated for GIFT-Eval: the authors state 16 of 97 GIFT-Eval settings overlap with the Chronos training data and report a 'GiftEval-ZS' subset excluding them. The GIFT-Eval Pretrain subset (Table 6) 'does not overlap with the GiftEval benchmark evaluation data'. Chronos training data includes Electricity (Hourly)/(15 Min.) (long-horizon Electricity source) and Solar/M4 etc.; splits not stated. Plus 15M synthetic GP (KernelSynth-style) series. Other stated exclusions, not tracked here: chronos-zs (all).

Sources