Contamination MapTime series / Model
Mantis+ (MantisPlus)
- Organisation
- Huawei Noah's Ark Lab (Paris)
- Family
- Mantis · version Mantis+
- Released
- 2026-02-19 (arXiv v1 submission of the MantisV2 report, https://arxiv.org/abs/2602.17868v1 (HF repo created 2025-11-27 per HF API))
- Checkpoints
- paris-noah/MantisPlus
- Weights
- Open · apache-2.0
- Links
- PaperModel cardCode
Training data disclosure: Full list
Level determined for 100% of benchmark cells.
- TestTest data seen0
- SeenSeen, split unclear0
- TrainTraining data seen0
- Related data seen0
- NoNot seen49
- ?Unknown0
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Other declared training data
-
CauKer 2M (synthetic, paris-noah/CauKer2M) · split: unknown
Purely synthetic (Gaussian-process kernel composition + structural causal models); released on HF.
Evidence
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
raw.githubusercontent.com · readme · Pre-training section · retrieved 2026-10-15 “Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
arxiv.org · paper · Section 3 · retrieved 2026-10-15 “Re-training the original Mantis architecture on synthetic data only produces Mantis+.”
arxiv.org · paper · Section 1 · retrieved 2026-10-15
Benchmark cells
GIFT-Eval
Not seen Jena Weather (GIFT-Eval) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen BizITObs - Application · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen BizITObs - Service · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen BizITObs - L2C · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Bitbrains - Fast Storage · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Bitbrains - rnd · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Restaurant (Recruit Restaurant Visitor Forecasting) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen ETT1 (GIFT-Eval) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen ETT2 (GIFT-Eval) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Loop Seattle (LibCity) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen SZ-Taxi (LibCity) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen M_DENSE (LibCity) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Solar (LSTNet, 137 Alabama PV plants) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Hierarchical Sales (Mancuso et al., 2020) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen M4 Yearly · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen M4 Quarterly · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen M4 Monthly · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen M4 Weekly · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen M4 Daily · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen M4 Hourly · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Hospital · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen COVID Deaths · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen US Births · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Saugeen River Flow · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Temperature Rain · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen KDD Cup 2018 · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Car Parts · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen ElectricityLoadDiagrams20112014 (UCI) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Long-horizon forecasting (ETT, Electricity, Traffic, Weather, Exchange, ILI)
Not seen ETTh1 · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen ETTh2 · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen ETTm1 · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen ETTm2 · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Electricity (ECL, 321 clients) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Traffic (PeMS San Francisco Bay, 862 sensors) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Weather (Jena, 2020; Autoformer) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Exchange-Rate · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen ILI (CDC influenza-like illness, national) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Time-series anomaly detection
Not seen TSB-AD-U (TSB-AD univariate) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen TSB-AD-M (TSB-AD multivariate) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen UCR Time Series Anomaly Archive (Hexagon ML/UCR, KDD Cup 2021) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Server Machine Dataset (SMD) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Mars Science Laboratory (MSL) telemetry anomaly dataset · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Soil Moisture Active Passive (SMAP) telemetry anomaly dataset · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Pooled Server Metrics (PSM) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Secure Water Treatment (SWaT) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Yahoo S5 Labeled Anomaly Detection Dataset (Yahoo Webscope S5) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen Numenta Anomaly Benchmark (NAB) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Time-series classification
Not seen UCR Time Series Classification Archive (2018) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Not seen UEA Multivariate Time Series Classification Archive (2018) · absent from the complete list of training data
Evidence (2)
“We have open-sourced [CauKer 2M](https://huggingface.co/datasets/paris-noah/CauKer2M), the synthetic data set we used to pre-train the two versions of Mantis, resulting in [MantisPlus](https://huggingface.co/paris-noah/MantisPlus) and [MantisV2](https://huggingface.co/paris-noah/MantisV2) checkpoints.”
“Final pre-training. Based on these findings, we perform the final pre-training using 2 million synthetic time series generated by CauKer for 200 epochs.”
Notes
Original Mantis (V1) architecture re-trained from scratch on 2M CauKer synthetic series. Developers switched to synthetic data explicitly to avoid the UCR/UEA leakage of the original Mantis corpus, so no ts-classification data in pre-training.
Sources
- MantisV2 report (arXiv v1) · paper · retrieved 2026-10-15
- Mantis (arXiv v2, ICML 2026) · paper · retrieved 2026-10-15
- vfeofanov/mantis README · readme · retrieved 2026-10-15
- CauKer2M dataset card · dataset card · retrieved 2026-10-15