GGLabYale/MTBench_weather_QA_short
MTBench: A Multimodal Time Series Benchmark MTBench (Huggingface, Github, Arxiv) is a suite of multimodal datasets for evaluating large language models (LLMs) in temporal and cross-modal reasoning tasks across finance and weather domains. 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. 📦… See the full description on the dataset page: https://huggingface.co/datasets/GGLabYale/MTBench_weather_QA_short.
| Author / organization | GGLabYale |
|---|---|
| Downloads | 635 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 11 March 2025 |
| Last updated at source | 23 May 2025 |
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- 16 Oct 2026 Description: MTBench: A Multimodal Time Series Benchmark MTBench (Huggingface, Github, Arxiv) is a suite of multimodal datasets for evaluating large language models (LLMs) in temporal and cross-modal reasoning tasks across finance and weather domains. E → MTBench: A Multimodal Time Series Benchmark MTBench (Huggingface, Github, Arxiv) is a suite of multimodal datasets for evaluating large language models (LLMs) in temporal and cross-modal reasoning tasks across finance and weather domains. E
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