| --- |
| pretty_name: TimeBraid-Alignment |
| task_categories: |
| - text-generation |
| tags: |
| - timebraid |
| - time-series |
| - alignment |
| --- |
| |
| # TimeBraid-Alignment |
|
|
| [Paper](https://arxiv.org/abs/2609.29792) · [Project](https://xinyuewangg.com/projects/timebraid/) · [GitHub](https://github.com/CharonWangg/TimeBraid) · [Model](https://huggingface.co/XinyueWangg/TimeBraid-2.5B) · [SFT Dataset](https://huggingface.co/datasets/XinyueWangg/TimeBraid-SFT) |
|
|
| Time-series and language alignment data accompanying [**TimeBraid: Unifying Time Series and Language for Understanding and Forecasting**](https://arxiv.org/abs/2609.29792). The collection brings together synthetic and real time-series descriptions, multivariate relationships, contextual understanding, and forecasting examples. |
|
|
| The previously prepared collection contained **2,216,597 records**, distributed as follows: |
|
|
| | Component | Records | |
| |---|---:| |
| | ChatTS univariate | 260,000 | |
| | ChatTS multivariate | 108,850 | |
| | Synthetic temporal causal models | 100,000 | |
| | TimeSeriesExam-derived descriptions | 100,000 | |
| | GIFT-derived morphology and forecasting | 1,610,650 | |
| | Context-rich descriptions from nine sources | 37,097 | |
| | **Total** | **2,216,597** | |
|
|
| These are record counts, not counts of unique time series. The companion [TimeBraid-SFT](https://huggingface.co/datasets/XinyueWangg/TimeBraid-SFT) collection adds instruction-tuning examples without repeating this 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 prepared collection; the final shared subset may differ. We will update this page when we know what can be shared. |
|
|
| Stay tuned. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{wang2026timebraidunifyingtimeseries, |
| title={TimeBraid: Unifying Time Series and Language for Understanding and Forecasting}, |
| author={Xinyue Wang and Jiacheng Pang and Kun Zhou and Kexin Zhang and Defu Cao and Fan Feng and Faisal and Songyao Jin and Yan Liu and Biwei Huang}, |
| year={2026}, |
| eprint={2609.29792}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2609.29792}, |
| } |
| ``` |
|
|
