LLM agents are increasingly expected to handle real-world assistant tasks — booking flights, managing emails, debugging code, curating knowledge bases — yet existing benchmarks evaluate them under isolated difficulty sources. LiveClawBench addresses this gap by introducing a Triple-Axis Complexity Framework and building a benchmark of 134 manually constructed tasks with explicit factor… See the full description on the dataset page:
https://huggingface.co/datasets/Mosi-AI/LiveClawbench-trajectories.