ChengsenWang/TSQA
TSQA: Time Series Question Answering ✨ Introduction In the time series question answering task, we employ the KernelSynth to generate a variable-length multimodal question and answer pairs based on identifying four generic typical time series features, which aid ChatTime in comprehending the fundamental principles of time series. The following table summarizes the statistics of this dataset. Trend encompasses three categories: upward trend, downward trend, and… See the full description on the dataset page: https://huggingface.co/datasets/ChengsenWang/TSQA.
| Author / organization | ChengsenWang |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 646 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 8 July 2024 |
| Last updated at source | 17 December 2024 |
Recent changes
- 16 Oct 2026 Description: TSQA: Time Series Question Answering ✨ Introduction In the time series question answering task, we employ the KernelSynth to generate a variable-length multimodal question and answer pairs based on identifying four generic typical time seri → TSQA: Time Series Question Answering ✨ Introduction In the time series question answering task, we employ the KernelSynth to generate a variable-length multimodal question and answer pairs based on identifying four generic typical time seri
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More from ChengsenWang
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.