DualTime release

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README.md

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+---
+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="#"><img src="https://img.shields.io/badge/arXiv-coming%20soon-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.

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