Datasets:

KratosWen
/

IMPACT

@@ -4,7 +4,7 @@
 - Refined the bimanual atomic annotations and standardized the 138-class TAS-B vocabulary, including explicit M4 and M6 nut labels.
 - Corrected and synchronized ego-view TAS-B annotations with the updated ego videos.
-- Updated 112 ego videos and five front-view videos while preserving the synchronized five-view execution identifiers.
 - Reconciled terminal TAS-B gaps for 13 exocentric executions: gaps shorter than 10 frames extend the existing terminal label, while gaps of 10 frames or more use a terminal NULL segment of at least 14 frames; existing NULL segments are extended directly.
 - Aligned 30 TAS-S boundaries across 16 view annotations to their refined TAS-B counterparts using only 1-5-frame shifts; labels and all other TAS-S boundaries remain unchanged.
 - Restored 12 empty phase fields from the verified preceding annotation version.

 - Refined the bimanual atomic annotations and standardized the 138-class TAS-B vocabulary, including explicit M4 and M6 nut labels.
 - Corrected and synchronized ego-view TAS-B annotations with the updated ego videos.
+- Updated 112 ego videos and five front-view videos while preserving synchronized five-view execution identifiers.
 - Reconciled terminal TAS-B gaps for 13 exocentric executions: gaps shorter than 10 frames extend the existing terminal label, while gaps of 10 frames or more use a terminal NULL segment of at least 14 frames; existing NULL segments are extended directly.
 - Aligned 30 TAS-S boundaries across 16 view annotations to their refined TAS-B counterparts using only 1-5-frame shifts; labels and all other TAS-S boundaries remain unchanged.
 - Restored 12 empty phase fields from the verified preceding annotation version.

v1.1/LICENSE-DATA CHANGED Viewed

@@ -1,19 +1,13 @@
 Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
-The dataset assets and repository-authored documentation in this repository are licensed under the
-Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0),
-unless otherwise noted.
-Covered materials include:
-- `dataset/`
-- `docs/`
-- `README.md`
-- Markdown documentation under `tasks/`
-Excluded materials include:
-- code, scripts, and configuration files
-- third-party materials under `third_party/`
-- any file or subdirectory that provides its own license notice
-License URL:
 https://creativecommons.org/licenses/by-nc-sa/4.0/

 Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
+All dataset assets and release documentation within the IMPACT-v1.1 distribution are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), unless a file provides a more specific notice.
+Covered materials include annotations, RGB and depth recordings, audio, eye-tracking traces, released features, metadata, split definitions, and release documentation.
+You must provide appropriate attribution, indicate whether changes were made, use the materials only for non-commercial purposes, and distribute adaptations under the same license.
+License deed and legal code:
 https://creativecommons.org/licenses/by-nc-sa/4.0/
+Recommended attribution:
+IMPACT: A Dataset for Multi-Granularity Human Procedural Action Understanding in Industrial Assembly, version 1.1, https://kratos-wen.github.io/IMPACT/

v1.1/MANIFEST.tsv CHANGED Viewed

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v1.1/README.md CHANGED Viewed

@@ -3,57 +3,88 @@ license: cc-by-nc-sa-4.0
 pretty_name: IMPACT
 task_categories:
   - video-classification
   - other
 tags:
   - industrial assembly
   - procedural action understanding
   - temporal action segmentation
-  - action anticipation
   - RGB-D
   - eye tracking
 ---
 # IMPACT v1.1
-IMPACT is a synchronized five-view RGB-D dataset and benchmark for multi-granularity human procedural action understanding in industrial assembly.
 - [Project page](https://kratos-wen.github.io/IMPACT/)
-- [Benchmark code](https://github.com/Kratos-Wen/IMPACT)
 - [Google Drive mirror](https://drive.google.com/drive/folders/1P7vBnxSVH9g_lQc5n0c0WA47QAGEhE_U?usp=sharing)
-## News
-**July 2026: IMPACT v1.1.** We further improved the released annotations and videos. All 560 TAS-B annotation files were revalidated, and 117 of 560 RGB videos (20.9%) were updated. The refined release is now available on Google Drive and Hugging Face.
-## Tasks
-- Temporal Action Segmentation at Step Level (`TAS-S`)
-- Bimanual Atomic Segmentation for the Left and Right Hands (`TAS-BL/BR`)
-- Cross-View Temporal Alignment (`CV-TA`)
-- Cross-View Semantic Matching via Retrieval and Classification (`CV-SMR`, `CV-SMC`)
-- Short-Term Action Anticipation (`AF-S`)
-- Long-Horizon Action Forecasting (`AF-L`)
-- Procedure Step Recognition (`PSR`)
-- Assembly State Recognition (`ASR`)
-- Procedural Phase Recognition for the Left and Right Hands (`PPR-L/R`)
-- Anomaly Type Recognition for the Left and Right Hands (`ATR-L/R`)
-## Download Layout
-The `v1.1/` directory contains versioned archives for annotations, RGB videos, depth streams, ego audio, ego eye tracking, and I3D, MViTv2, and VideoMAEv2 features. Every archive extracts into the same `IMPACT-v1.1/` root.
-Use `v1.1/SHA256SUMS` to verify downloaded files:
 ```bash
-sha256sum --check SHA256SUMS
 ```
-The quick-start sample is available at `v1.1/sample/IMPACT-v1.1-sample.zip`.
-## Version 1.1
-Version 1.1 refines the bimanual atomic annotations, synchronizes annotation endpoints with the released videos, standardizes public identifiers and view names, and regenerates dependent TAS-B, AF-S, PPR, and ATR assets. See `v1.1/CHANGELOG.md` for details.
 ## License
-Dataset assets and documentation are licensed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). Repository-authored code is distributed separately through GitHub under the repository code license.

 pretty_name: IMPACT
 task_categories:
   - video-classification
+  - feature-extraction
   - other
 tags:
   - industrial assembly
   - procedural action understanding
   - temporal action segmentation
+  - cross-view understanding
+  - action forecasting
   - RGB-D
   - eye tracking
 ---
 # IMPACT v1.1
+IMPACT is a synchronized five-view RGB-D dataset and benchmark for multi-granularity human procedural action understanding in industrial assembly. It contains **112 trials from 13 participants** and **39.5 video hours** across one egocentric and four exocentric views.
 - [Project page](https://kratos-wen.github.io/IMPACT/)
+- [Benchmark code and task protocols](https://github.com/Kratos-Wen/IMPACT)
 - [Google Drive mirror](https://drive.google.com/drive/folders/1P7vBnxSVH9g_lQc5n0c0WA47QAGEhE_U?usp=sharing)
+## Release Update
+**July 2026, v1.1.** All 560 TAS-B annotation files were revalidated, and 117 of 560 RGB videos (20.9%) were updated. Dependent task assets and selected TAS-S boundaries were regenerated from the refined canonical annotations. See [`v1.1/CHANGELOG.md`](v1.1/CHANGELOG.md) for the complete record.
+## Benchmark Tasks
+| Family | Tasks | Metrics |
+| --- | --- | --- |
+| Temporal Understanding | `TAS-S`, `TAS-BL/BR` | Accuracy, Edit, F1@{10,25,50} |
+| Cross-View Understanding | `CV-TA`, `CV-SMR`, `CV-SMC` | Recall@{1,5}, Median Rank, Coverage, mAP, Top-1, Macro-F1 |
+| Action Forecasting | `AF-S`, `AF-L` | mR@5, AUED, ED@z |
+| State & Reasoning | `PSR`, `ASR`, `PPR-L/R`, `ATR-L/R` | task-specific F1, delay, POS, state, phase, and multi-label metrics |
+Formal task definitions, split semantics, baselines, and evaluation code are versioned in the [benchmark repository](https://github.com/Kratos-Wen/IMPACT/blob/main/docs/BENCHMARK.md).
+## Download
+The `v1.1/` directory provides independent archives for annotations, RGB videos, depth streams, ego audio, eye tracking, and I3D, MViTv2, and VideoMAEv2 features. Every ZIP extracts into the same `IMPACT-v1.1/` root.
+The 2.8 GiB quick-start sample is available at `v1.1/sample/IMPACT-v1.1-sample.zip`. It contains three complete executions with synchronized media, all released feature types, and corresponding task annotations.
+Selective download and automatic checksum verification:
 ```bash
+git clone https://github.com/Kratos-Wen/IMPACT.git
+cd IMPACT
+python -m pip install -r requirements-tools.txt
+python tools/download_impact.py --include sample --output downloads
+python tools/verify_release.py downloads/v1.1/sample/IMPACT-v1.1-sample.zip
+```
+Use `python tools/download_impact.py --list` to inspect all bundle keys. Exact byte sizes and SHA-256 checksums are published in `v1.1/MANIFEST.tsv` and `v1.1/SHA256SUMS`.
+## Data Structure
+```text
+IMPACT-v1.1/
+├── annotations/{TAS-S,TAS-B,AF-S,ASR,PSR,PPR,ATR}/
+├── videos/{ego,front,left,right,top}/
+├── depth/{front,left,right,top}/
+├── audio/ego/
+├── eye_tracking/ego/
+├── features/{I3D,MViTv2,VideoMAEv2}/
+└── metadata/
 ```
+The canonical identifier is `<execution_id>_<view>`. All views from the same trial are co-assigned in official splits to prevent cross-view leakage.
+## Features
+Released arrays contain frozen I3D (1024-D), MViTv2-B (768-D), and VideoMAEv2-G (1408-D) representations. Extraction conventions and reference scripts are documented in the [feature guide](https://github.com/Kratos-Wen/IMPACT/blob/main/docs/FEATURES.md).
+## Ethics and Intended Use
+Participants provided informed consent for data collection and research release. Public identifiers are anonymized, and the release excludes direct personal identifiers. The dataset is intended for non-commercial research and education in video understanding, procedural reasoning, forecasting, and industrial human-assistance systems. It must not be used to identify participants or infer sensitive personal attributes.
+IMPACT represents a controlled industrial assembly setting and should not be treated as evidence that a model is safe for autonomous deployment. Users should assess domain shift, demographic coverage, failure modes, and human oversight requirements in their target environment. See the repository's [Ethics and Intended Use](https://github.com/Kratos-Wen/IMPACT/blob/main/docs/ETHICS_AND_USE.md) statement.
+## Citation
+The manuscript is under review at the ACM Multimedia 2026 Dataset Track. Stable versioned author metadata is available in [`CITATION.cff`](https://github.com/Kratos-Wen/IMPACT/blob/main/CITATION.cff); proceedings metadata will be added after publication.
 ## License
+Dataset assets and release documentation are licensed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). Benchmark code is distributed separately under Apache-2.0, and third-party methods retain their respective upstream terms.

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