datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Terminal-Bench-Hard
Terminal-Bench Hard
Terminal-Bench Hard is a set of 100 challenging terminal-based agent tasks.
The tasks cover software engineering, debugging, data processing, system
administration, security, scientific computing, and related command-line
workflows.
Contents
tasks/: runnable tasks in Harbor format.
metadata/tasks.parquet: searchable task metadata and instructions.
Each task directory contains task.toml, instruction.md, an
environment/ directory, and verifier… See the full description on the dataset page: https://huggingface.co/datasets/Zhongzhi1228/Terminal-Bench-Hard.CLoT-Oogiri-GO
Oogiri-GO Dataset Card
Project Page | Paper | Code | Model
Data discription: Oogiri-GO is a multimodal and multilingual humor dataset, and contains more than 130,000 Oogiri samples in English (en.jsonl), Chinese (cn.jsonl), and Japanese (jp.jsonl). Notably, in Oogiri-GO, 77.95% of samples are annotated with human preferences, namely the number of likes, indicating the popularity of a response. As illustrated in Fig. 1, Oogiri-GO contains three types of Oogiri games… See the full description on the dataset page: https://huggingface.co/datasets/zhongshsh/CLoT-Oogiri-GO.ZhongJing-OMNI
ZhongJing-OMNI: The First Multimodal Benchmark for Evaluating Traditional Chinese Medicine
ZhongJing-OMNI is the first multimodal benchmark dataset designed to evaluate Traditional Chinese Medicine (TCM) knowledge in large language models. This dataset provides a diverse array of questions and multimodal data, combining visual and textual information to assess the model’s ability to reason through complex TCM diagnostic and therapeutic scenarios. The unique combination of TCM… See the full description on the dataset page: https://huggingface.co/datasets/CMLM/ZhongJing-OMNI.