README.md

metadata

pretty_name: IMPACT
license: other
task_categories:
  - video-classification
  - image-classification
  - audio-classification
  - text-classification
language:
  - en
tags:
  - industrial-assembly
  - procedural-understanding
  - action-segmentation
  - action-forecasting
  - reasoning
  - multi-view
size_categories:
  - 100K<n<1M

IMPACT

IMPACT is a multi-view industrial assembly dataset and benchmark for fine-grained action understanding, procedural reasoning, action forecasting, and anomaly-aware evaluation.

• Project page: https://kratos-wen.github.io/IMPACT/
• Repository: https://github.com/Kratos-Wen/IMPACT
• Google Drive release: https://drive.google.com/drive/folders/1P7vBnxSVH9g_lQc5n0c0WA47QAGEhE_U?usp=sharing

Release Layout

This Hugging Face dataset mirrors the public IMPACT release bundles:

• annotations/annotations_v1.zip: official annotation release bundle
• videos/videos_{ego,front,left,right,top}.zip: five-view RGB archives
• depth/depth_{front,left,right,top}.zip: exocentric depth archives
• audio/audio_ego.zip: egocentric audio bundle
• eye_tracking/eye_tracking_ego.zip: egocentric eye-tracking TSV bundle
• features/features_{I3D,MViTv2,VideoMAEv2}.zip: released feature bundles
• sample/: quick-start subset with 3 executions, multi-view media, eye-tracking traces, released features, and task annotations

Benchmark Coverage

The current public code release provides runnable benchmark wrappers for:

• TAS
• CV-TA
• CV-SM
• AF-S
• PSR
• ASR
• PPR
• ATR

The repository also documents AF-L with its task protocol and reported baseline design.

Sample Subset

The sample subset is intended for quick-start inspection, reviewer access, and lightweight debugging.

It currently contains:

• 3 executions
• 15 RGB video files
• 12 depth files
• 3 ego-audio files
• 3 ego eye-tracking files
• 45 feature files
• task-specific annotation folders covering TAS-S, TAS-B, ASR, PSR, PPR, and ATR

Selected sample executions:

• AL07EJ17_Disassembly_A_001
• AL07EJ17_Reassembly_A_002
• ER07AD15_Disassembly_A_001

Notes

• The GitHub repository stores lightweight protocol assets under dataset/; larger release bundles are mirrored here and on Google Drive.
• The Hugging Face release does not include internal work-in-progress annotation revisions.
• License details for repository-authored code and dataset assets are documented in the GitHub repository.