docs: publish plain v1.1 release guide

v1.1/README.md

@@ -1,50 +1,26 @@
----
-license: cc-by-nc-sa-4.0
-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 Data Release
 
-# IMPACT v1.1
+IMPACT is a synchronized five-view RGB-D dataset and benchmark for multi-granularity human procedural action understanding in industrial assembly. The release contains 112 trials from 13 participants and 39.5 video hours across one egocentric and four exocentric views.
 
-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)
+- Project page: https://kratos-wen.github.io/IMPACT/
+- Benchmark code: https://github.com/Kratos-Wen/IMPACT
+- Hugging Face mirror: https://huggingface.co/datasets/KratosWen/IMPACT
 
 ## 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
+In v1.1, all 560 TAS-B annotation files were revalidated and 117 of 560 RGB videos (20.9%) were updated. See `CHANGELOG.md` for the complete revision record.
 
-| 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 |
+## Archives
 
-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).
+The release 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.
 
-## Download
+The quick-start sample is available at `sample/IMPACT-v1.1-sample.zip` and contains three complete executions with synchronized media, all released feature types, and corresponding task annotations.
 
-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.
+Exact archive sizes are recorded in `MANIFEST.tsv`; SHA-256 checksums are recorded in `SHA256SUMS`.
 
-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
 
-Selective download and automatic checksum verification:
+The benchmark repository provides a Hugging Face downloader with automatic checksum verification:
 
 ```bash
 git clone https://github.com/Kratos-Wen/IMPACT.git
@@ -54,37 +30,6 @@ 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.
+Dataset assets and release documentation are licensed under CC BY-NC-SA 4.0. See `LICENSE-DATA` for scope and attribution guidance.