metadata
license: cc-by-4.0
task_categories:
- robotics
tags:
- robot-manipulation
- failure-detection
- failure-diagnosis
configs:
- config_name: failtime_short
data_files:
- split: train
path: failtime_short/train.json
- split: test
path: failtime_short/test.json
- config_name: failtime_long
data_files:
- split: test
path: failtime_long/test.json
FailTime
Failure annotations for robot manipulation rollouts, from the paper ProTracer: Proprioception-Guided Failure Diagnosis in Robot Manipulation. Each episode is labelled as a success or a failure, and every failure carries the moment it went wrong, its failure type, the reason, and how it could have been avoided.
- FailTime-Short — annotations for ViFailback recordings (AgileX Piper). Download ViFailback separately for the episodes themselves.
- FailTime-Long — long-horizon bimanual recordings (ALOHA and SO-101), included here as self-contained HDF5 files.
Layout
failtime_short/ train.json test.json tasks/
failtime_long/ test.json tasks/ episodes/*.hdf5
tasks/ holds one XML per task: instruction, objects and substages.
Annotations
{"sample": "pour_ball_transfer_cup_episode_19", "task_id": "pour_ball_transfer_cup", "episode": "episode_19",
"robot": "aloha", "hdf5": "episodes/pour_ball_transfer_cup_episode_19.hdf5", "verdict": "fail",
"onset": 1.146, "type": ["wrong_object"], "reason": "Expected: ...", "avoidance": "..."}
onset (seconds), type, reason and avoidance are given for failures only.
Episodes
Every FailTime-Long HDF5 holds one episode:
observation.state_eef |
both end-effectors: xyz, quaternion xyzw, gripper |
observation.state, action |
joint states and actions (observation.effort on ALOHA) |
observation.images.<camera>/mp4_bytes |
three camera videos: left wrist, right wrist, overhead |
timestamp, frame_index, episode_index, next.done |
frame bookkeeping |
Usage
hf download ChangUoA/FailTime --repo-type dataset --local-dir data
ln -s /path/to/ViFailback/raw_data data/failtime_short/episodes
The code is at github.com/Chang-AIML/ProTracer.
Citation
@article{dong2026protracer,
title = {ProTracer: Proprioception-Guided Failure Diagnosis in Robot Manipulation},
author = {Dong, Chang and Hosseinzadeh, Mehdi and Wong, King Hang and Liu, Lingqiao and Fraysse, Francois and Dayoub, Feras and Nguyen, Minh Hoai},
year = {2026}
}