README.md

---
license: mit
task_categories: [question-answering, multiple-choice, summarization]
tags: [time-series, multimodal]
pretty_name: dualTslm training data
---

# DualTime-data

<p align="center">
<a href="https://arxiv.org/abs/2610.22327"><img src="https://img.shields.io/badge/arXiv-2610.22327-b31b1b.svg" alt="arXiv"/></a>
<a href="https://github.com/azencot-group/dual-time"><img src="https://img.shields.io/badge/GitHub-Code-181717?logo=github" alt="Code"/></a>
<a href="https://huggingface.co/SequentialLearning/DualTime-8B"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-yellow" alt="Model"/></a>
</p>

The in-house training corpora of *Twice Upon a Time: Complementary
Representations for Time-Series Reasoning*, named as in the paper's
training-data table. Raw JSON / JSONL with the series as number arrays; the
charts and delay-embedding images are rendered at training time by the code
repository.

| Stage | File | Rows | Supervision |
|---|---|---:|---|
| A | `stageA/chatts_style_captions.jsonl` | 32,000 | caption |
| A | `stageA/structural_captions.json` | 7,701 | caption |
| B | `stageB/tsexam_perception.json` | 20,640 | multiple choice |
| B | `stageB/numerical_corpus.json` | 11,000 | scalar answer |
| B | `stageB/reasoning_corpus.json` | 100,000 | multiple choice, with rationales |

The other training sources come from their own repositories: CaTS-Bench
(`mhfisher/CaTSBench`, Stage A) and the ChatTS `ift` / `sft` sets
(`ChatTSRepo/ChatTS-Training-Dataset`, Stage B).

## Usage

```bash
hf download SequentialLearning/DualTime-data --repo-type dataset --local-dir data
```

`data/` is where the code repository's training scripts read the corpora
(`STAGE=A bash scripts/train.sh`, `STAGE=B bash scripts/train.sh`).

## Licences

`structural_captions`, `tsexam_perception` and `numerical_corpus` are
generated with a fork of the TimeSeriesExam generator (MIT);
`chatts_style_captions` is built on series from the ChatTS time-series
generator (see that dataset's card); `reasoning_corpus` is this project's own
synthetic data.


## Citation

```bibtex
@misc{zisling2026twicetime,
      title={Twice Upon a Time: Complementary Representations for Time-Series Reasoning}, 
      author={Hedi Zisling and Liran Nochumsohn and Ilan Naiman and Mihir Parmar and Omri Azencot},
      year={2026},
      eprint={2610.22327},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2610.22327}, 
}
```