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TimeBraid-SFT
Instruction-tuning data accompanying TimeBraid: Unifying Time Series and Language for Understanding and Forecasting. Stage 2 combines time-series forecasting, understanding, and description with general-language examples and selected alignment examples retained during training.
The full Stage-2 training inventory contained 4,881,583 examples (about 4.88M), distributed as follows:
| Category | Source or subcategory | Examples |
|---|---|---|
| Forecasting | 2,640,566 | |
| CGTSF | 53,926 | |
| FinMultiTime S&P 500 | 144,387 | |
| MoTime (News/Wiki) | 32,589 | |
| CAF-7M | 2,314,216 | |
| Time-MMD | 20,768 | |
| Time-MQA Forecasting | 74,680 | |
| Time-series QA and reasoning | 1,065,021 | |
| CaTS-Bench | 15,995 | |
| ChatTS | 50,377 | |
| HiTSR | 157,147 | |
| OpenSQA | 138,754 | |
| OpenTSLM ECG | 159,313 | |
| OpenTSLM HAR | 68,542 | |
| OpenTSLM Sleep | 7,434 | |
| OpenTSLM TSQA | 38,400 | |
| Time-MQA Reasoning | 110,212 | |
| TSAQA Reasoning | 125,957 | |
| EngineMT-QA | 100,296 | |
| RATs40K | 32,994 | |
| Time-MQA Imputation | 38,607 | |
| TSAQA Anomaly Detection | 20,993 | |
| Captioning and description | 161,883 | |
| OpenTSLM M4 Captioning | 80,000 | |
| SensorCaps | 35,960 | |
| Time-MMD Open-Ended | 1,925 | |
| TRACE Captioning | 43,998 | |
| Unimodal corpora | 400,000 | |
| GIFT-Eval Pretrain | 200,000 | |
| Dolci-Instruct (No-Tools) | 200,000 | |
| Alignment retention | 614,113 | |
| Understanding retention | 116,294 | |
| Forecasting retention | 497,819 | |
| Total | 4,881,583 |
These are training-example counts, not counts of unique time series. The alignment-retention examples are included in the training total; they will not be packaged again in this dataset alongside the companion TimeBraid-Alignment collection.
Coming soon
Dataset files are not available here while we review the licenses and redistribution permissions of the underlying sources. The distribution above describes the full training inventory, not a downloadable package; the final shared subset may differ. We will update this page when we know what can be shared.
Stay tuned.
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