Simplify public downloader setup and rename Rendered Data section

PhysInOne Utils/3D_ASSETS_DOWNLOAD.md

@@ -205,9 +205,8 @@ python "PhysInOne Utils/scripts/download_3d_assets.py" \
   --workers 2
 ```
 
-Public downloads do not require a Hugging Face token. If authentication is
-needed in a particular environment, set the standard `HF_TOKEN` environment
-variable instead of placing a token in a script or log.
+Public downloads do not require authentication. Do not place access credentials
+in source code, shared shell scripts, commands, or download logs.
 
 ## Contact
 

PhysInOne Utils/LEADERBOARD_DOWNLOAD.md

@@ -21,22 +21,18 @@ Python 3.9 or newer is recommended.
 pip install -U huggingface_hub tqdm
 ```
 
-Download the utility script and the maintained task file lists:
+Download the utility script:
 
 ```bash
 hf download vLAR/PhysInOne \
   "PhysInOne Utils/scripts/download_leaderboard.py" \
-  "PhysInOne Utils/leaderboard_lists/video-generation.txt" \
-  "PhysInOne Utils/leaderboard_lists/future-prediction.txt" \
-  "PhysInOne Utils/leaderboard_lists/physical-properties-estimation.txt" \
-  "PhysInOne Utils/leaderboard_lists/motion-transfer.txt" \
-  "PhysInOne Utils/LEADERBOARD_DOWNLOAD.md" \
   --repo-type dataset \
   --local-dir .
 ```
 
-The downloader can also fetch its task list from Hugging Face automatically
-when only the Python script is available.
+The Python script automatically fetches the required task manifest from the
+public Hugging Face repository for the selected `--task` and `--revision`. You
+do not need to download any TXT manifest files manually.
 
 ## Quick start
 
@@ -69,9 +65,11 @@ python "PhysInOne Utils/scripts/download_leaderboard.py" \
 
 ## Task names and file lists
 
-Each maintained list contains one exact repository file path per line. The
-downloader uses these lists instead of scanning or downloading unrelated parts
-of the large PhysInOne repository.
+For each selected task, the downloader automatically fetches a maintained TXT
+manifest containing one exact repository file path per line. It uses that
+manifest instead of scanning or downloading unrelated parts of the large
+PhysInOne repository. The links below are provided for inspection and
+reproducibility; manual manifest downloads are not required.
 
 | `--task` value | Repository directory | Maintained file list |
 | --- | --- | --- |
@@ -213,8 +211,6 @@ python "PhysInOne Utils/scripts/download_leaderboard.py" \
   --workers 2
 ```
 
-Public downloads do not require authentication. If Hugging Face authentication
-is needed in a particular environment, set the standard `HF_TOKEN` environment
-variable. Do not place access tokens in source code, shared shell scripts, or
-download logs.
+Public downloads do not require authentication. Do not place access tokens in
+source code, shared shell scripts, commands, or download logs.
 

PhysInOne Utils/scripts/download_3d_assets.py

@@ -69,7 +69,6 @@ def get_release_file(name: str, revision: str, cache_dir: Path) -> Path:
             repo_type=REPO_TYPE,
             revision=revision,
             cache_dir=cache_dir,
-            token=os.environ.get("HF_TOKEN") or None,
         )
     )
 
@@ -309,7 +308,6 @@ def download_one(
             revision=revision,
             local_dir=output_dir,
             cache_dir=cache_dir,
-            token=os.environ.get("HF_TOKEN") or None,
         )
         return DownloadResult(remote_path, str(local), "ready")
     except Exception as exc:

PhysInOne Utils/scripts/download_leaderboard.py

@@ -114,7 +114,6 @@ def get_task_list(task: str, revision: str, cache_dir: Path) -> list[str]:
                 filename=remote,
                 revision=revision,
                 cache_dir=cache_dir,
-                token=os.environ.get("HF_TOKEN") or None,
             )
         )
     paths = read_lines(local)
@@ -285,7 +284,6 @@ def download_one(
                 revision=revision,
                 local_dir=output_dir,
                 cache_dir=cache_dir,
-                token=os.environ.get("HF_TOKEN") or None,
             )
         )
         extracted = "not_requested"

README.md

@@ -300,7 +300,7 @@ homepage: https://vlar-group.github.io/PhysInOne.html
 <a href="#data-splits">📊 Data Splits</a><br>
 <a href="#three-d-assets">🧱 3D Assets</a><br>
 <a href="#leaderboard-evaluation-data">🏆 Leaderboard Evaluation Data</a><br>
-<a href="#how-to-download">📥 How to Download</a><br>
+<a href="#rendered-data">🎞️ Rendered Data</a><br>
 &nbsp;&nbsp;&nbsp;<a href="#download-scripts">1. Download Scripts</a><br>
 &nbsp;&nbsp;&nbsp;<a href="#install-dependencies">2. Install Dependencies</a><br>
 &nbsp;&nbsp;&nbsp;<a href="#filter-cases">3. Filter Cases</a><br>
@@ -473,7 +473,7 @@ Due to the large scale of PhysInOne, the rendered data and annotations are split
 
 > Download badges query the official Hugging Face API and update automatically. Counts are repository-level download events, not deduplicated users; accessing multiple shards can produce one event in each shard.
 
-For large-scale downloading and filtering, please refer to the **How to Download** section below.
+For large-scale rendered-data downloading and filtering, please refer to the **Rendered Data** section below.
 
 </div>
 
@@ -541,11 +541,6 @@ pip install -U huggingface_hub tqdm
 
 hf download vLAR/PhysInOne \
   "PhysInOne Utils/scripts/download_leaderboard.py" \
-  "PhysInOne Utils/leaderboard_lists/video-generation.txt" \
-  "PhysInOne Utils/leaderboard_lists/future-prediction.txt" \
-  "PhysInOne Utils/leaderboard_lists/physical-properties-estimation.txt" \
-  "PhysInOne Utils/leaderboard_lists/motion-transfer.txt" \
-  "PhysInOne Utils/LEADERBOARD_DOWNLOAD.md" \
   --repo-type dataset \
   --local-dir .
 
@@ -554,13 +549,13 @@ python "PhysInOne Utils/scripts/download_leaderboard.py" \
   --output-dir ./PhysInOne-Leaderboard
 ```
 
-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.
+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.
 
-See the full [Leaderboard download guide](https://huggingface.co/datasets/vLAR/PhysInOne/blob/main/PhysInOne%20Utils/LEADERBOARD_DOWNLOAD.md) and the [task file lists](https://huggingface.co/datasets/vLAR/PhysInOne/tree/main/PhysInOne%20Utils/leaderboard_lists) for details.
+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.
 
 </div>
 
-<h2 id="how-to-download" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">📥 How to Download</h2>
+<h2 id="rendered-data" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">🎞️ Rendered Data</h2>
 
 <h3 id="download-scripts" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 24px;">1. Download Scripts</h3>
 
@@ -714,15 +709,6 @@ python scripts/download.py \
   --output_dir ./PhysInOne
 ```
 
-If the dataset repositories are gated or private, pass a Hugging Face token:
-
-```bash
-python scripts/download.py \
-  --selection selected_cases.json \
-  --output_dir ./PhysInOne \
-  --token YOUR_HF_TOKEN
-```
-
 By default, downloaded zip files are saved into a flat output folder. To preserve shard/split/activity structure:
 
 ```bash