Contamination MapTime series / Dataset
Jena Weather (GIFT-Eval)
Jena weather station data (21 variates) as processed by GIFT-Eval following Autoformer; 10T series length 52,704 (GIFT-Eval Table 13); used at 10T, H and D.
- Also known as
- jena_weather, Jena Weather
- Domain
- nature
- Homepage
- www.bgc-jena.mpg.de
Related datasets
-
same source Weather (Jena, 2020; Autoformer)
Both from the MPI-BGC Jena station with 21 variables at 10-minute resolution. GIFT-Eval's 52,704 steps (= 366 days) vs 52,696 in DLinear Table 1 suggest the same year 2020 but not an identical file; not stated by GIFT-Eval.
Evidence
“We incorporate Jena Weather5 dataset following Autoformer (Wu et al., 2021).”
arxiv.org · paper · Appendix D (footnote 5 points to https://www.bgc-jena.mpg.de/wetter/) · retrieved 2026-10-15 “is recorded every 10 minutes for 2020 whole year, which contains 21 meteorological indicators, such as air temperature, humidity, etc.”
arxiv.org · paper · Section 4 (Datasets) · retrieved 2026-10-15 “https://www.bgc-jena.mpg.de/wetter/”
arxiv.org · paper · Section 4, footnote 3 · retrieved 2026-10-15
Exposure by model
| Benchmark | Model | Level | Reason |
|---|---|---|---|
| GIFT-Eval | Chronos-2-Synth | Not seen | absent from the complete list of training data |
| GIFT-Eval | Chronos-2 | Not seen | the authors state its test portion was excluded from training |
| GIFT-Eval | Chronos-Bolt | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | Chronos (T5) | Not seen | absent from the complete list of training data |
| GIFT-Eval | DADA (General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders) | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | Granite-TimeSeries-TTM-R1 | Not seen | absent from the complete list of training data |
| GIFT-Eval | Granite-TimeSeries-TTM-R2.1 | Not seen | absent from the complete list of training data |
| GIFT-Eval | Granite-TimeSeries-TTM-R2 | Not seen | absent from the complete list of training data |
| GIFT-Eval | Granite-TTM-R3 | Not seen | the authors state its test portion was excluded from training |
| GIFT-Eval | Lag-Llama | Not seen | absent from the complete list of training data |
| GIFT-Eval | Mantis (Mantis-8M) | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | Mantis+ (MantisPlus) | Not seen | absent from the complete list of training data |
| GIFT-Eval | MantisV2 | Not seen | absent from the complete list of training data |
| GIFT-Eval | Moirai-1.0-R | Not seen | absent from the complete list of training data |
| GIFT-Eval | Moirai-1.1-R | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | Moirai-2.0-R | Training data seen | only the training split was used, not the benchmark's test data; the test portion was explicitly excluded |
| GIFT-Eval | Moirai-MoE-1.0-R | Not seen | the authors state the dataset was excluded from training |
| GIFT-Eval | MOMENT-1 | related dataset Weather (Jena, 2020; Autoformer) was used (via Time Series Pile) | |
| GIFT-Eval | NuTime | Not seen | absent from the complete list of training data |
| GIFT-Eval | Sundial (Timer 3.0) | Not seen | the authors state the dataset was excluded from training |
| GIFT-Eval | Time-MoE | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | Time-RCD (TimeRCD) | Not seen | absent from the complete list of training data |
| GIFT-Eval | Timer-S1 | Not seen | the authors state its test portion was excluded from training |
| GIFT-Eval | Timer-XL (timer-base-84m) | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | Timer | Not seen | absent from the complete list of training data |
| GIFT-Eval | TimeRadar | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | TimesFM 1.0 | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | TimesFM 2.0 | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | TimesFM 2.5 | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | TimesFM 3.0 | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | TiRex 1.1 (gifteval) | Not seen | the authors state its test portion was excluded from training |
| GIFT-Eval | TiRex-2-fevbench (TiRex-2-f) | Not seen | absent from the complete list of training data |
| GIFT-Eval | TiRex-2-gifteval-pretrain (TiRex-2-gp) | Not seen | the authors state the dataset was excluded from training |
| GIFT-Eval | TiRex-2-gifteval-zs (TiRex-2-g) | Not seen | the authors state the dataset was excluded from training |
| GIFT-Eval | TiRex-2 | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | TiRex | Not seen | absent from the complete list of training data |
| GIFT-Eval | Toto-Open-Base-1.0 | Not seen | the authors state its test portion was excluded from training |
| GIFT-Eval | Toto-2.0-2.5B-FT | Training data seen | only the training split was used, not the benchmark's test data; the test portion was explicitly excluded |
| GIFT-Eval | Toto 2.0 | Not seen | the authors state the dataset was excluded from training |
| GIFT-Eval | Toto (2024 technical report) | Unknown | training data not disclosed in enough detail |
| GIFT-Eval | TSPulse r1 | Not seen | absent from the complete list of training data |
| GIFT-Eval | TTM-R3 | Training data seen | only the training split was used, not the benchmark's test data; the test portion was explicitly excluded |
| GIFT-Eval | Tiny Time Mixer (TTM) Research-Use R2 | Not seen | absent from the complete list of training data |
| GIFT-Eval | UniTS few-shot anomaly detection checkpoints | via base model UniTS: related dataset Weather (Jena, 2020; Autoformer) was used | |
| GIFT-Eval | UniTS | related dataset Weather (Jena, 2020; Autoformer) was used |
Sources
- GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation (arXiv v2) · paper · retrieved 2026-10-15
- GIFT-Eval dataset_configurations.csv (97 dataset/frequency/term configurations) · code · retrieved 2026-10-15
- Autoformer (arXiv v5) · paper · retrieved 2026-10-15