| # MTBench: A Multimodal Time Series Benchmark |
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| **MTBench** ([Huggingface](https://huggingface.co/collections/afeng/mtbench-682577471b93095c0613bbaa), [Github](https://github.com/Graph-and-Geometric-Learning/MTBench), [Arxiv](https://arxiv.org/pdf/2503.16858)) is a suite of multimodal datasets for evaluating large language models (LLMs) in temporal and cross-modal reasoning tasks across **finance** and **weather** domains. |
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| Each benchmark instance aligns high-resolution time series (e.g., stock prices, weather data) with textual context (e.g., news articles, QA prompts), enabling research into temporally grounded and multimodal understanding. |
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| ## 📦 MTBench Datasets |
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| ### 🔹 Finance Domain |
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| - [`MTBench_finance_news`](https://huggingface.co/datasets/afeng/MTBench_finance_news) |
| 20,000 articles with URL, timestamp, context, and labels |
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| - [`MTBench_finance_stock`](https://huggingface.co/datasets/afeng/MTBench_finance_stock) |
| Time series of 2,993 stocks (2013–2023) |
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| - [`MTBench_finance_aligned_pairs_short`](https://huggingface.co/datasets/afeng/MTBench_finance_aligned_pairs_short) |
| 2,000 news–series pairs |
| - Input: 7 days @ 5-min |
| - Output: 1 day @ 5-min |
| - [`MTBench_finance_aligned_pairs_short_multi`](https://huggingface.co/datasets/GGLabYale/MTBench_finance_aligned_pairs_short_multi) |
| 2,000 news–series pairs with multivariable |
| - Input: 7 days @ 5-min |
| - Output: 1 day @ 5-min |
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| - [`MTBench_finance_aligned_pairs_long`](https://huggingface.co/datasets/afeng/MTBench_finance_aligned_pairs_long) |
| 2,000 news–series pairs |
| - Input: 30 days @ 1-hour |
| - Output: 7 days @ 1-hour |
| - [`MTBench_finance_aligned_pairs_long_multi`](https://huggingface.co/datasets/GGLabYale/MTBench_finance_aligned_pairs_long_multi) |
| 2,000+ news–series pairs with multi-variable |
| - Input: 30 days @ 1-hour |
| - Output: 7 days @ 1-hour |
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| - [`MTBench_finance_QA_short`](https://huggingface.co/datasets/afeng/MTBench_finance_QA_short) |
| 490 multiple-choice QA pairs |
| - Input: 7 days @ 5-min |
| - Output: 1 day @ 5-min |
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| - [`MTBench_finance_QA_long`](https://huggingface.co/datasets/afeng/MTBench_finance_QA_long) |
| 490 multiple-choice QA pairs |
| - Input: 30 days @ 1-hour |
| - Output: 7 days @ 1-hour |
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| ### 🔹 Weather Domain |
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| - [`MTBench_weather_news`](https://huggingface.co/datasets/afeng/MTBench_weather_news) |
| Regional weather event descriptions |
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| - [`MTBench_weather_temperature`](https://huggingface.co/datasets/afeng/MTBench_weather_temperature) |
| Meteorological time series from 50 U.S. stations |
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| - [`MTBench_weather_aligned_pairs_short`](https://huggingface.co/datasets/afeng/MTBench_weather_aligned_pairs_short) |
| Short-range aligned weather text–series pairs |
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| - [`MTBench_weather_aligned_pairs_long`](https://huggingface.co/datasets/afeng/MTBench_weather_aligned_pairs_long) |
| Long-range aligned weather text–series pairs |
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| - [`MTBench_weather_aligned_pairs_short_multi`](https://huggingface.co/datasets/GGLabYale/MTBench_weather_aligned_pairs_short_multi) |
| Short-range aligned weather text–series pairs with multi-variables |
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| - [`MTBench_weather_aligned_pairs_long_multi`](https://huggingface.co/datasets/GGLabYale/MTBench_weather_aligned_pairs_long_multi) |
| Long-range aligned weather text–series pairs with multi-variables |
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| - [`MTBench_weather_QA_short`](https://huggingface.co/datasets/afeng/MTBench_weather_QA_short) |
| Short-horizon QA with aligned weather data |
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| - [`MTBench_weather_QA_long`](https://huggingface.co/datasets/afeng/MTBench_weather_QA_long) |
| Long-horizon QA for temporal and contextual reasoning |
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| ## 🧠 Supported Tasks |
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| MTBench supports a wide range of multimodal and temporal reasoning tasks, including: |
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| - 📈 **News-aware time series forecasting** |
| - 📊 **Event-driven trend analysis** |
| - ❓ **Multimodal question answering (QA)** |
| - 🔄 **Text-to-series correlation analysis** |
| - 🧩 **Causal inference in financial and meteorological systems** |
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| ## 📄 Citation |
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| If you use MTBench in your work, please cite: |
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| ```bibtex |
| @article{chen2025mtbench, |
| title={MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question Answering}, |
| author={Chen, Jialin and Feng, Aosong and Zhao, Ziyu and Garza, Juan and Nurbek, Gaukhar and Qin, Cheng and Maatouk, Ali and Tassiulas, Leandros and Gao, Yifeng and Ying, Rex}, |
| journal={arXiv preprint arXiv:2503.16858}, |
| year={2025} |
| } |
