datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ELTE-TCM-46k
CNC Tool Condition Image Dataset (ELTE-TCM-46k)
This dataset contains approximately 46,000 high-resolution TIFF images of 116 unique CNC cutting tools (including drills, end mills, and chamfer tools) under various conditions. The images were captured to support research in automated, direct Tool Condition Monitoring (TCM).
The primary purpose of this dataset is to facilitate the novel methodology presented in Falah, Andó, & Szekeres (2025), which transforms a sequence of 2D… See the full description on the dataset page: https://huggingface.co/datasets/alirezafalah/ELTE-TCM-46k.TCM-Ladder
TCM-Ladder: A Benchmark for Multimodal Question Answering on Traditional Chinese Medicine
TCM-Ladder is the first multimodal QA dataset specifically designed for evaluating large TCM language models. The dataset spans multiple core disciplines of TCM, including fundamental theory, diagnostics, herbal formulas, internal medicine, surgery, pharmacognosy, and pediatrics.
Dataset Details
Dataset Description
TCM-Ladder is the first multimodal QA dataset specifically… See the full description on the dataset page: https://huggingface.co/datasets/timzzyus/TCM-Ladder.TCM-Ladder
TCM-Ladder: A Benchmark for Multimodal Question Answering on Traditional Chinese Medicine
TCM-Ladder is the first multimodal QA dataset specifically designed for evaluating large TCM language models. The dataset spans multiple core disciplines of TCM, including fundamental theory, diagnostics, herbal formulas, internal medicine, surgery, pharmacognosy, and pediatrics.
Dataset Details
Dataset Description
TCM-Ladder is the first multimodal QA dataset specifically… See the full description on the dataset page: https://huggingface.co/datasets/Xuqiang2026/TCM-Ladder.