offline
Datasets
All datasets matching “offline”OAPL-DeepCoder-Offline-Dataset-Round1SMPL_Humanoid_offline_dataset
UniPhys Dataset: Offline Dataset for Physics-based Character Control
This dataset is part of the UniPhys, enabling large-scale training of diffusion policies for physics-based humanoid control using SMPL-like characters. The state-action pairs are generated by the PULSE motion tracking policy.
Dataset Overview
amass_state-action-pairs: state-action pairs for motion sequences from AMASS dataset (excluding infeasible motions)
babel_state-action-text-pairs: Packaged… See the full description on the dataset page: https://huggingface.co/datasets/yan0116/SMPL_Humanoid_offline_dataset.dsrl-offline-v1dsrl-offline-costablation-v0fluency-ecdict-offline
Fluency ECDICT Offline Pack
This repository hosts the versioned ECDICT SQLite packages downloaded by the
Fluency app for offline video word lookup and local subtitle focus-word matching.
Current release
Field
Value
Data version
ecdict-bc015ed2-focus13-v2
Schema
2
Entries
770,611
Focus-word lists
13
ZIP size
54,594,964 bytes
SQLite size
131,756,032 bytes
ZIP SHA-256
1e745ea698878772226a7df584129409dd4b27cb7ea26b4259bc770e7533352f
Source… See the full description on the dataset page: https://huggingface.co/datasets/iamzhangship/fluency-ecdict-offline.terminal-bench-2.1-offline-images
Terminal-Bench 2.1
Terminal-Bench is a collection of benchmarks for measuring agents' abilities to complete valuable and complex tasks in container environments. Tasks include assembling proteins for synthesis, debugging async code, and resolving security vulnerabilities.
Terminal-Bench 2.1 is a more verified iteration of Terminal-Bench 2.0. 26 tasks were modified to fix bugs, modify timeouts or resources, or improve robustness to reward hacking. Many changes were taken directly… See the full description on the dataset page: https://huggingface.co/datasets/JinhuaQIN/terminal-bench-2.1-offline-images.