Document normalized public downloads

README.md

@@ -493,29 +493,23 @@ The public 3D asset release is now <strong>50% complete</strong>. It contains th
 
 The seven training archives add approximately <strong>51.61 GiB</strong> of backgrounds, raw backgrounds, breakable objects, interactable objects, solid objects, appearance materials, and physical materials. Training Scene maps and training Sequence/Trajectory assets are <strong>not released yet</strong>.
 
-- [Browse the `PhysicBenchmark` project](https://huggingface.co/datasets/vLAR/PhysInOne/tree/main/3D%20Assets/PhysicBenchmark)
-- [Download and setup guide](https://huggingface.co/datasets/vLAR/PhysInOne/blob/main/PhysInOne%20Utils/3D_ASSETS_DOWNLOAD.md)
-- [Automated downloader](https://huggingface.co/datasets/vLAR/PhysInOne/blob/main/PhysInOne%20Utils/scripts/download_3d_assets.py)
-- [Exact validation release list](https://huggingface.co/datasets/vLAR/PhysInOne/blob/main/PhysInOne%20Utils/3d_assets_lists/validation.txt)
+- [Browse the `PhysicBenchmark` project](https://huggingface.co/datasets/vLAR/PhysInOne/tree/main/Assets/PhysicBenchmark)
+- [Download and setup guide](https://huggingface.co/datasets/vLAR/PhysInOne/blob/main/Utils/3D_ASSETS_DOWNLOAD.md)
+- [Automated downloader](https://huggingface.co/datasets/vLAR/PhysInOne/blob/main/Utils/scripts/download_3d_assets.py)
+- [Exact validation release list](https://huggingface.co/datasets/vLAR/PhysInOne/blob/main/Utils/3d_assets_lists/validation.txt)
 
-Install <strong>Unreal Engine 5.5.4</strong>. Windows is recommended for the simplest setup; Linux is also supported with additional platform configuration. The automated downloader currently retrieves and assembles the exact 1,000-scene validation project subset, safely extracts its eight ZIP files into their correct parent directories, preserves the Unreal Engine package hierarchy, supports interrupted-run recovery, and records detailed logs. The newly released training resource archives are available in their corresponding category folders in the project browser linked above.
+Install <strong>Unreal Engine 5.5.4</strong>. Windows is recommended for the simplest setup; Linux is also supported with additional platform configuration. The dependency-free GitHub downloader currently retrieves and assembles the exact 1,000-scene validation project subset, safely extracts its eight ZIP files into their correct parent directories, preserves the Unreal Engine package hierarchy, supports interrupted-run recovery, and records detailed logs. The newly released training resource archives are available in their corresponding category folders in the project browser linked above.
 
 ```bash
-pip install -U huggingface_hub tqdm
-
-hf download vLAR/PhysInOne \
-  "PhysInOne Utils/scripts/download_3d_assets.py" \
-  --repo-type dataset \
-  --local-dir .
-
-python "PhysInOne Utils/scripts/download_3d_assets.py" \
-  --output-dir ./PhysInOne-3D-Assets
+git clone https://github.com/vLAR-group/PhysInOne.git
+cd PhysInOne
+python scripts/download_data.py --task 3d-assets --output-dir ./PhysInOne_data
 ```
 
 After download and extraction, open:
 
 ```text
-PhysInOne-3D-Assets/3D Assets/PhysicBenchmark/PhysInOne.uproject
+PhysInOne_data/assets/PhysicBenchmark/PhysInOne.uproject
 ```
 
 Do not rename or flatten directories such as `Content/PhysInOne/`, `Content/__ExternalActors__/`, or `Content/__ExternalObjects__/`; Unreal Engine asset references depend on the exact project-relative structure. See the full setup guide for manual extraction paths, disk-space guidance, resume behavior, and troubleshooting.
@@ -534,24 +528,37 @@ All user-facing evaluation inputs required for the four PhysInOne Leaderboard ta
 | [Physical Properties Estimation](https://huggingface.co/datasets/vLAR/PhysInOne/tree/main/Leaderboard/Physical%20Properties%20Estimation) | 72 scene ZIPs + 2 shared files | Training/novel-view inputs, camera metadata, and shared supplementary resources |
 | [Motion Transfer](https://huggingface.co/datasets/vLAR/PhysInOne/tree/main/Leaderboard/Motion%20Transfer) | 217 ZIPs | Source videos, target reference frames, and captions |
 
-Install the downloader dependency and download any task as follows:
+Clone the GitHub repository once. The public downloader uses only the Python standard library and reads its maintained manifests locally:
 
 ```bash
-pip install -U huggingface_hub tqdm
+git clone https://github.com/vLAR-group/PhysInOne.git
+cd PhysInOne
+```
 
-hf download vLAR/PhysInOne \
-  "PhysInOne Utils/scripts/download_leaderboard.py" \
-  --repo-type dataset \
-  --local-dir .
+Each row is a complete command that can be copied directly. The remote Leaderboard folder names remain unchanged, while the downloader creates space-free local task directories.
 
-python "PhysInOne Utils/scripts/download_leaderboard.py" \
-  --task future-prediction \
-  --output-dir ./PhysInOne-Leaderboard
-```
+| Task | Copy command | Local directory |
+| --- | --- | --- |
+| Video Generation | `python scripts/download_data.py --task video-generation --output-dir ./PhysInOne_data` | `PhysInOne_data/leaderboard/video_generation/` |
+| Future Prediction | `python scripts/download_data.py --task future-prediction --output-dir ./PhysInOne_data` | `PhysInOne_data/leaderboard/future_prediction/` |
+| Physical Properties Estimation | `python scripts/download_data.py --task physical-properties-estimation --output-dir ./PhysInOne_data` | `PhysInOne_data/leaderboard/physical_properties_estimation/` |
+| Motion Transfer | `python scripts/download_data.py --task motion-transfer --output-dir ./PhysInOne_data` | `PhysInOne_data/leaderboard/motion_transfer/` |
+| All four Leaderboard tasks | `python scripts/download_data.py --task video-generation future-prediction physical-properties-estimation motion-transfer --output-dir ./PhysInOne_data` | `PhysInOne_data/leaderboard/` |
+
+| Parameter | Purpose |
+| --- | --- |
+| `--task NAME [NAME ...]` | Select one or more tasks. Use the values in the table above, `3d-assets`, or `all`. |
+| `--output-dir PATH` | Set the space-free local output root. Default: `./PhysInOne_data`. |
+| `--scene TEXT` | Match a scene name or six-character scene ID; repeatable. |
+| `--workers N` | Set concurrent downloads. Default: `4`. |
+| `--extract` / `--no-extract` | Enable or disable safe ZIP extraction. |
+| `--delete-zip-after-extract` | Delete each ZIP only after verified extraction. |
+| `--revision REV` | Select the dataset revision. Default: `main`. |
+| `--dry-run` / `--list-only` | Preview counts/output paths or exact public URLs. |
 
-The script automatically retrieves the maintained TXT manifest for each selected task and revision from this public repository; users do not need to download any manifest files manually. Use `--task all` to download all four tasks, `--scene SCENE_ID` to select individual scenes, or `--extract` to validate and extract scene ZIPs. Downloads are resumable, and every run records successes and failures for review.
+Downloads are resumable, and every run records successes and failures for review. No Hugging Face account, access token, or Python package installation is required.
 
-See the full [Leaderboard download guide](https://huggingface.co/datasets/vLAR/PhysInOne/blob/main/PhysInOne%20Utils/LEADERBOARD_DOWNLOAD.md) for options and examples. The [task manifests](https://huggingface.co/datasets/vLAR/PhysInOne/tree/main/PhysInOne%20Utils/leaderboard_lists) remain available for inspection and reproducibility, but the script fetches them automatically.
+See the [complete GitHub download guide](https://github.com/vLAR-group/PhysInOne/blob/main/docs/DATA_DOWNLOAD.md), [download script](https://github.com/vLAR-group/PhysInOne/blob/main/scripts/download_data.py), and [bundled manifests](https://github.com/vLAR-group/PhysInOne/tree/main/scripts/download_lists). The additional [Hugging Face utility guide](https://huggingface.co/datasets/vLAR/PhysInOne/blob/main/Utils/LEADERBOARD_DOWNLOAD.md) remains available for users who prefer `huggingface_hub`.
 
 </div>
 
@@ -561,10 +568,10 @@ See the full [Leaderboard download guide](https://huggingface.co/datasets/vLAR/P
 
 <div style="margin-left: 40px; text-align: justify;">
 
-Please download the [`PhysInOne Utils`](https://huggingface.co/datasets/vLAR/PhysInOne/tree/main/PhysInOne%20Utils) folder from the main dataset repository. It contains:
+Please download the [`Utils`](https://huggingface.co/datasets/vLAR/PhysInOne/tree/main/Utils) folder from the main dataset repository. It contains:
 
 ```text
-PhysInOne Utils/
+Utils/
 ├── metadata/
 │   ├── repo_assignment.txt
 │   └── repo_map.json
@@ -589,7 +596,7 @@ PhysInOne Utils/
 Run the following commands from inside the downloaded folder so the scripts can find `metadata/` using their default paths:
 
 ```bash
-cd "PhysInOne Utils"
+cd "Utils"
 ```
 
 PhysInOne is distributed across multiple Hugging Face dataset repositories because of its large scale. We provide utilities for selecting and downloading full-dataset cases and Leaderboard evaluation data: