datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
LiveClawbench-trajectoriesLiveClawBench: Benchmarking LLM Agents on Complex, Real-World Assistant Tasks
Overview
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.mtmc-dog-detectionmosim-humanoid-walk-tdmpc2-ar10-dt005
MoSim Humanoid Walk TD-MPC2 AR10, dt=0.005
Humanoid Walk state transition dataset collected using a TD-MPC2 policy. Rows are recorded every physics step at dt=0.005 seconds; the policy action is refreshed every 10 physics rows.
Format
Each .npz contains:
data: float32 array with shape (num_trajectories, 1000, state_dim + action_dim + state_dim).
metadata: object with state_dim, action_dim, and DMC qpos/qvel sizes when available.
Each transition row is [s_t, a_t… See the full description on the dataset page: https://huggingface.co/datasets/Weyl09/mosim-humanoid-walk-tdmpc2-ar10-dt005.mosi-text
Dataset Card for "mosi-text"
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mosim-humanoid-walk-random-ar1-dt005
MoSim Humanoid Walk Random AR(1), dt=0.005
Humanoid Walk state transition dataset collected from DMC with random AR(1)-style actions.
Format
Each .npz contains:
data: float32 array with shape (num_trajectories, 1000, state_dim + action_dim + state_dim).
metadata: object with state_dim, action_dim, and DMC qpos/qvel sizes when available.
Each transition row is [s_t, a_t, s_(t+1)].
For Humanoid Walk:
state_dim = 55
action_dim = 21
row dimension = 55 + 21 + 55 = 131… See the full description on the dataset page: https://huggingface.co/datasets/Weyl09/mosim-humanoid-walk-random-ar1-dt005.multimodel-dataset