SenTSR-Bench is a de-identified, real-world multivariate time-series benchmark for diagnostic reasoning, released as part of the paper:
SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
Zelin He, Boran Han, Xiyuan Zhang, Shuai Zhang, Haotian Lin, Qi Zhu, Haoyang Fang, Danielle C. Maddix, Abdul Fatir Ansari, Akash Chandrayan, Abhinav Pradhan, Bernie Wang, Matthew Reimherr… See the full description on the dataset page:
https://huggingface.co/datasets/ZLHe0/SenTSR-Bench.
