Contamination Map Methodology

Time series / Dataset

Mars Science Laboratory (MSL) telemetry anomaly dataset

Real telemetry of the Curiosity rover (Mars Science Laboratory) released by NASA JPL with Telemanom (Hundman et al., KDD 2018): 27 anonymised telemetry channels, each with one telemetry value plus one-hot encoded command information (55 dimensions in the OmniAnomaly table), 36 expert-labelled anomaly sequences (from Incident Surprise, Anomaly reports). Pre-split train and test sets per channel; labels (anomaly_sequences) refer to the test set; values are pre-scaled to (-1,1) using the test-set min/max and timestamps are anonymised. OmniAnomaly statistics: 58,317 training and 73,729 test points, anomaly ratio 10.72%.

Also known as
MSL, Mars Science Laboratory, NASA MSL, MSL rover Curiosity telemetry, Curiosity (MSL)
Domain
spacecraft telemetry
Test items from
2018-06-01
Evidence
“Open-source repository and data to be ready upon publication.”
arxiv.org · paper · footnote 1 · retrieved 2026-10-15
“"created_at":"2018-06-01T20:33:20Z"”
api.github.com · code · GitHub API: repository creation date · retrieved 2026-10-15
Homepage
github.com

Exposure by model

BenchmarkModelLevelReason
Time-series anomaly detection Chronos-2-Synth Not seen absent from the complete list of training data
Time-series anomaly detection Chronos-2 Not seen absent from the complete list of training data
Time-series anomaly detection Chronos-Bolt Unknown training data not disclosed in enough detail
Time-series anomaly detection Chronos (T5) Not seen absent from the complete list of training data
Time-series anomaly detection DADA (General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders) Related data seen a contamination analysis found test examples of the related dataset TSB-AD-U (TSB-AD univariate) (Third-party (TimeRCD authors): DADA's pre-training corpus (IOPS, MGAB, YAHOO) heavily overlaps their zero-shot test benchmarks drawn from TSB-AD.) [third-party study]; the authors state this dataset was excluded
Time-series anomaly detection Granite-TimeSeries-TTM-R1 Not seen absent from the complete list of training data
Time-series anomaly detection Granite-TimeSeries-TTM-R2.1 Not seen absent from the complete list of training data
Time-series anomaly detection Granite-TimeSeries-TTM-R2 Not seen absent from the complete list of training data
Time-series anomaly detection Granite-TTM-R3 Unknown training data not disclosed in enough detail
Time-series anomaly detection Lag-Llama Not seen absent from the complete list of training data
Time-series anomaly detection Mantis (Mantis-8M) Unknown training data not disclosed in enough detail
Time-series anomaly detection Mantis+ (MantisPlus) Not seen absent from the complete list of training data
Time-series anomaly detection MantisV2 Not seen absent from the complete list of training data
Time-series anomaly detection Moirai-1.0-R Not seen absent from the complete list of training data
Time-series anomaly detection Moirai-1.1-R Unknown training data not disclosed in enough detail
Time-series anomaly detection Moirai-2.0-R Unknown training data not disclosed in enough detail
Time-series anomaly detection Moirai-MoE-1.0-R Not seen absent from the complete list of training data
Time-series anomaly detection MOMENT-1 Training data seen only the training split was used, not the benchmark's test data (via Time Series Pile)
Time-series anomaly detection NuTime Not seen absent from the complete list of training data
Time-series anomaly detection Sundial (Timer 3.0) Unknown training data not disclosed in enough detail
Time-series anomaly detection Time-MoE Unknown training data not disclosed in enough detail
Time-series anomaly detection Time-RCD (TimeRCD) Not seen absent from the complete list of training data
Time-series anomaly detection Timer-S1 Unknown training data not disclosed in enough detail
Time-series anomaly detection Timer-XL (timer-base-84m) Unknown training data not disclosed in enough detail
Time-series anomaly detection Timer Not seen absent from the complete list of training data
Time-series anomaly detection TimeRadar Not seen the authors state the dataset was excluded from training
Time-series anomaly detection TimesFM 1.0 Unknown training data not disclosed in enough detail
Time-series anomaly detection TimesFM 2.0 Unknown training data not disclosed in enough detail
Time-series anomaly detection TimesFM 2.5 Unknown training data not disclosed in enough detail
Time-series anomaly detection TimesFM 3.0 Unknown training data not disclosed in enough detail
Time-series anomaly detection TiRex 1.1 (gifteval) Unknown training data not disclosed in enough detail
Time-series anomaly detection TiRex-2-fevbench (TiRex-2-f) Not seen absent from the complete list of training data
Time-series anomaly detection TiRex-2-gifteval-pretrain (TiRex-2-gp) Unknown training data not disclosed in enough detail
Time-series anomaly detection TiRex-2-gifteval-zs (TiRex-2-g) Not seen absent from the complete list of training data
Time-series anomaly detection TiRex-2 Unknown training data not disclosed in enough detail
Time-series anomaly detection TiRex Not seen absent from the complete list of training data
Time-series anomaly detection Toto-Open-Base-1.0 Unknown training data not disclosed in enough detail
Time-series anomaly detection Toto-2.0-2.5B-FT Unknown training data not disclosed in enough detail
Time-series anomaly detection Toto 2.0 Unknown training data not disclosed in enough detail
Time-series anomaly detection Toto (2024 technical report) Unknown training data not disclosed in enough detail
Time-series anomaly detection TSPulse r1 Not seen absent from the complete list of training data
Time-series anomaly detection TTM-R3 Unknown training data not disclosed in enough detail
Time-series anomaly detection Tiny Time Mixer (TTM) Research-Use R2 Not seen absent from the complete list of training data
Time-series anomaly detection UniTS few-shot anomaly detection checkpoints Training data seen in fine-tuning data: only the training split was used, not the benchmark's test data
Time-series anomaly detection UniTS Not seen absent from the complete list of training data

Notes

published_from = creation date of the Telemanom repository; arXiv v1 (2018-02-13) said data would be released upon publication. Telemanom code is Apache 2.0; the README does not state a licence for the data (the TSB-AD homepage lists 'Caltech'). The README now points to a Kaggle mirror (patrickfleith/nasa-anomaly-detection-dataset-smap-msl); the original S3 data.zip is cited in the OmniAnomaly README. Wu & Keogh's critique of the 'NASA' datasets covers MSL and SMAP.

Sources