---
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},
}
```