Contamination Map Methodology

Time series / Model

Granite-TimeSeries-TTM-R2.1

Organisation
IBM Research
Family
Tiny Time Mixers (TTM) · version R2.1
Released
2025-01-31 (First r2.1 weights commit ('512-96-ft-r2.1 release', 2025-01-31) on branch 512-96-ft-r2.1 of ibm-granite/granite-timeseries-ttm-r2; README 'r2.1 release updates' commit 2025-02-26. https://huggingface.co/api/models/ibm-granite/granite-timeseries-ttm-r2/commits/512-96-ft-r2.1)
Checkpoints
ibm-granite/granite-timeseries-ttm-r2@512-96-ft-r2.1, ibm-granite/granite-timeseries-ttm-r2@512-96-ft-l1-r2.1, ibm-granite/granite-timeseries-ttm-r2@512-48-ft-r2.1, ibm-granite/granite-timeseries-ttm-r2@512-48-ft-l1-r2.1, ibm-granite/granite-timeseries-ttm-r2@360-60-ft-l1-r2.1, ibm-granite/granite-timeseries-ttm-r2@180-60-ft-l1-r2.1, ibm-granite/granite-timeseries-ttm-r2@90-30-ft-r2.1, ibm-granite/granite-timeseries-ttm-r2@90-30-ft-l1-r2.1, ibm-granite/granite-timeseries-ttm-r2@52-16-ft-r2.1, ibm-granite/granite-timeseries-ttm-r2@52-16-ft-l1-r2.1
Weights
Open · apache-2.0
Links
PaperModel cardCode

Training data disclosure: Full list

Level determined for 100% of benchmark cells.

“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

Other declared training data

Declared exclusions

Benchmark cells

GIFT-Eval

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

Not seen Loop Seattle (LibCity) · the authors state the dataset was excluded from training

Evidence (1)
“Please note that, the last three datasets in the Libcity section have been excluded from the pre-training process for the model releases intended for enterprise-use.”
arxiv.org · paper · Appendix C.1 / Table 8 caption · retrieved 2026-10-15

Not seen SZ-Taxi (LibCity) · the authors state the dataset was excluded from training

Evidence (1)
“Please note that, the last three datasets in the Libcity section have been excluded from the pre-training process for the model releases intended for enterprise-use.”
arxiv.org · paper · Appendix C.1 / Table 8 caption · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

Seen, split unclear Solar (LSTNet, 137 Alabama PV plants) · the dataset was used; the source does not say which part

Evidence (2)
“Solar: https://zenodo.org/records/4656144”
huggingface.co · model card · Training Data section (r2 list) · retrieved 2026-10-15
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15

Seen, split unclear Hierarchical Sales (Mancuso et al., 2020) · the dataset was used; the source does not say which part

Evidence (2)
“Hierarchical Sales: https://huggingface.co/datasets/Salesforce/lotsa_data/tree/main/hierarchical_sales”
huggingface.co · model card · Training Data section (r2.1 additions) · retrieved 2026-10-15
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“Covid Deaths: https://zenodo.org/records/4656009”
huggingface.co · model card · Training Data section (r2.1 additions) · retrieved 2026-10-15
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15

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

Evidence (2)
“US Births: https://zenodo.org/records/4656049”
huggingface.co · model card · Training Data section (r2 list) · retrieved 2026-10-15
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15

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

Evidence (2)
“Saugeen River Flow: https://zenodo.org/records/4656058”
huggingface.co · model card · Training Data section (r2 list) · retrieved 2026-10-15
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15

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

Evidence (2)
“Temperature Rain: https://zenodo.org/records/5129091”
huggingface.co · model card · Training Data section (r2.1 additions) · retrieved 2026-10-15
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15

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

Evidence (2)
“KDD Cup 2018: https://zenodo.org/records/4656756”
huggingface.co · model card · Training Data section (r2 list) · retrieved 2026-10-15
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

Not seen ElectricityLoadDiagrams20112014 (UCI) · absent from the complete list of training data

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · 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 (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

Not seen Electricity (ECL, 321 clients) · absent from the complete list of training data

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

Not seen Traffic (PeMS San Francisco Bay, 862 sensors) · absent from the complete list of training data

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (5)
“CDC FluView ILINet: https://huggingface.co/datasets/Salesforce/lotsa_data/tree/main/cdc_fluview_ilinet”
huggingface.co · model card · Training Data section (r2.1 additions) · retrieved 2026-10-15
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · 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 (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · 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 (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

Time-series classification

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

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

Evidence (2)
“The r2.1 TTM models (denoted by branches with suffix r2.1) were trained on the above collection, in addition to the following datasets:”
huggingface.co · model card · Training Data section · retrieved 2026-10-15
“The TTM r2.1 release increases the pretraining dataset size to approximately (\~1B samples).”
huggingface.co · model card · Introduction · retrieved 2026-10-15

Notes

Same HF repo as R2; r2.1 branches add daily/weekly support and 16 more datasets (several are GIFT-Eval test datasets by name, e.g. Covid Deaths, Temperature Rain, Hierarchical Sales; split not stated). The card lists the r2.1 release under 'GIFT-Eval benchmark [notebook]'. The ENTERPRISE exclusion of the last three LibCity datasets is stated in the paper for enterprise-use releases in general. Other stated exclusions, not tracked here: Q-TRAFFIC (all).

Sources