Upload README.md

README.md

@@ -182,25 +182,25 @@ homepage: https://vlar-group.github.io/PhysInOne.html
 <a href="#dataset-structure">📦 Dataset Structure</a><br>
 <a href="#data-splits">📊 Data Splits</a><br>
 <a href="#data-fields">🧩 Data Fields</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#physical-phenomena">Physical Phenomena</a><br>
+   • <a href="#physical-phenomena">Physical Phenomena</a><br>
 <a href="#annotation-details">📝 Annotation Details</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#depth">Depth</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#segmentation">Segmentation</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#captions">Captions</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#trajectories">Trajectories</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#cameras">Cameras</a><br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;◦ <a href="#camera-json-structure">Camera JSON structure</a><br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;◦ <a href="#dynamic-camera-behavior">Dynamic camera behavior</a><br>
-&nbsp;&nbsp;&nbsp;• <a href="#point-clouds">Point Clouds</a><br>
+   • <a href="#depth">Depth</a><br>
+   • <a href="#segmentation">Segmentation</a><br>
+   • <a href="#captions">Captions</a><br>
+   • <a href="#trajectories">Trajectories</a><br>
+   • <a href="#cameras">Cameras</a><br>
+      ◦ <a href="#camera-json-structure">Camera JSON structure</a><br>
+      ◦ <a href="#dynamic-camera-behavior">Dynamic camera behavior</a><br>
+   • <a href="#point-clouds">Point Clouds</a><br>
 <a href="#how-to-download">📥 How to Download</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>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href="#filter-by-split">3.1 Split</a><br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href="#filter-by-split-and-activity">3.2 Split + Activity</a><br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href="#filter-by-phenomenon">3.3 Phenomenon</a><br>
-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<a href="#random-sampling">3.4 Random Sampling</a><br>
-&nbsp;&nbsp;&nbsp;<a href="#download-selected-cases">4. Download Cases</a><br>
+   <a href="#download-scripts">1. Download Scripts</a><br>
+   <a href="#install-dependencies">2. Install Dependencies</a><br>
+   <a href="#filter-cases">3. Filter Cases</a><br>
+      <a href="#filter-by-split">3.1 Split</a><br>
+      <a href="#filter-by-split-and-activity">3.2 Split + Activity</a><br>
+      <a href="#filter-by-phenomenon">3.3 Phenomenon</a><br>
+      <a href="#random-sampling">3.4 Random Sampling</a><br>
+   <a href="#download-selected-cases">4. Download Cases</a><br>
 <a href="#license">📜 License</a><br>
 <a href="#citation">📚 Citation</a><br>
 <a href="#contact">📮 Contact</a><br>
@@ -265,6 +265,172 @@ For large-scale downloading and filtering, please refer to the **How to Download
 
 </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>
+
+<div style="margin-left: 24px;">
+
+PhysInOne is distributed across multiple Hugging Face dataset repositories because of its large scale. We provide two scripts for selecting and downloading cases:
+
+- `filter_cases.py`: parses the case-to-repository assignment file and exports selected cases to JSON.
+- `download.py`: downloads the selected case zip files from the corresponding Hugging Face shard repositories.
+
+The `filter_cases.py` script supports selection by:
+
+- Split: `train`, `val`, `test`
+- Activity complexity: `single`, `double`, `triple`
+- Physical phenomenon abbreviation: `MovingHitsFixed`, `FrictionStop`, `LiquidTension`, ..., `GranularFall`
+- Number of cases: globally sample `num` cases after filtering
+
+</div>
+
+<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>
+
+<div style="margin-left: 40px;">
+
+Please download the `assets` folder, which contains:
+
+```text
+metadata/
+  repo_assignment.txt
+  repo_map.json
+scripts/
+  filter_cases.py
+  download.py
+```
+
+</div>
+
+<h3 id="install-dependencies" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 24px;">2. Install Dependencies</h3>
+
+<div style="margin-left: 40px;">
+
+```bash
+pip install huggingface_hub tqdm
+```
+
+</div>
+
+<h3 id="filter-cases" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 24px;">3. Filter Cases</h3>
+
+<div style="margin-left: 40px;">
+
+The following examples show common filtering workflows.
+
+</div>
+
+<h4 id="filter-by-split" style="font-size: 1.12em; margin-top: 0.55em; margin-bottom: 0.14em; line-height: 1.18; margin-left: 48px;">3.1 Filter by split</h4>
+
+<div style="margin-left: 64px;">
+
+```bash
+python scripts/filter_cases.py \
+  --split train \
+  --output selected_cases.json
+```
+
+</div>
+
+<h4 id="filter-by-split-and-activity" style="font-size: 1.12em; margin-top: 0.55em; margin-bottom: 0.14em; line-height: 1.18; margin-left: 48px;">3.2 Filter by split and activity complexity</h4>
+
+<div style="margin-left: 64px;">
+
+```bash
+python scripts/filter_cases.py \
+  --split train \
+  --activity_type double \
+  --output selected_cases.json
+```
+
+</div>
+
+<h4 id="filter-by-phenomenon" style="font-size: 1.12em; margin-top: 0.55em; margin-bottom: 0.14em; line-height: 1.18; margin-left: 48px;">3.3 Filter by physical phenomenon abbreviation</h4>
+
+<div style="margin-left: 64px;">
+
+By default, phenomenon matching uses `contains` mode. For example, the following command selects all double-physics cases that contain `FrictionStop`:
+
+```bash
+python scripts/filter_cases.py \
+  --split train \
+  --activity_type double \
+  --phenomena FrictionStop \
+  --match_mode contains \
+  --output selected_cases.json
+```
+
+For exact matching, use `--match_mode exact`. Order does not matter. For example, this command selects cases whose phenomenon set is exactly `{AccelConcaveSpin, AccelSurfaceSpin}`:
+
+```bash
+python scripts/filter_cases.py \
+  --split train \
+  --activity_type double \
+  --phenomena AccelConcaveSpin AccelSurfaceSpin \
+  --match_mode exact \
+  --output selected_cases.json
+```
+
+</div>
+
+<h4 id="random-sampling" style="font-size: 1.12em; margin-top: 0.55em; margin-bottom: 0.14em; line-height: 1.18; margin-left: 48px;">3.4 Randomly sample a fixed number of cases</h4>
+
+<div style="margin-left: 64px;">
+
+`--num` is the global number of cases sampled after filtering. The default random seed is `42`.
+
+```bash
+python scripts/filter_cases.py \
+  --split train \
+  --activity_type double \
+  --phenomena FrictionStop \
+  --num 3000 \
+  --seed 42 \
+  --output selected_cases.json
+```
+
+</div>
+
+<h3 id="download-selected-cases" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 24px;">4. Download Selected Cases</h3>
+
+<div style="margin-left: 40px;">
+
+Each selected case is downloaded as a zip file from the corresponding Hugging Face shard repository.
+
+```bash
+python scripts/download.py \
+  --selection selected_cases.json \
+  --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
+python scripts/download.py \
+  --selection selected_cases.json \
+  --output_dir ./PhysInOne \
+  --keep_shard_structure
+```
+
+The preserved structure is:
+
+```text
+PhysInOne/
+  physinone_part1/
+    Train/
+      DoublePhysics/
+        AccelConcaveSpin_AccelSurfaceSpin__bg070__K5ER39_trajectory.zip
+```
+
+</div>
+
 <h2 id="dataset-structure" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">📦 Dataset Structure</h2>
 <div style="margin-left: 24px;">
 
@@ -293,20 +459,18 @@ This design guarantees that training, validation, and test sets are fully separa
 <h3 id="physical-phenomena" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 0;"><span style="display: inline-block; width: 1.08em;">•</span>Physical Phenomenon and Abbreviations</h3>
 <div style="margin-left: 16px;">
 
-| ID    | Physical Phenomenon                                                       | Abbreviation          | Related Physical Laws                                   |
-| ----- | ------------------------------------------------------------------------- | --------------------- | ------------------------------------------------------- |
-| `P01` | Object collide with static, stationary objects                            | MovingHitsFixed       | Laws of Momentum                                        |
-| `P02` | Moving objects collide with non-static stationary objects                 | MovingHitsStationary  | Laws of Momentum                                        |
-| `P03` | Two moving objects collide                                                | MovingHitsMoving      | Laws of Momentum                                        |
+| ID    | Physical Phenomenon                                       | Abbreviation         | Related Physical Laws |
+| ----- | --------------------------------------------------------- | -------------------- | --------------------- |
+| `P01` | Object collide with static, stationary objects            | MovingHitsFixed      | Laws of Momentum      |
+| `P02` | Moving objects collide with non-static stationary objects | MovingHitsStationary | Laws of Momentum      |
+| `P03` | Two moving objects collide                                | MovingHitsMoving     | Laws of Momentum      |
+| `...` | ...                                                       | ...                  | ...                   |
 
 <details>
 <summary>Click to expand full abbreviation table</summary>
 
 | ID    | Physical Phenomenon                                                       | Abbreviation          | Related Physical Laws                                   |
 | ----- | ------------------------------------------------------------------------- | --------------------- | ------------------------------------------------------- |
-| `P01` | Object collide with static, stationary objects                            | MovingHitsFixed       | Laws of Momentum                                        |
-| `P02` | Moving objects collide with non-static stationary objects                 | MovingHitsStationary  | Laws of Momentum                                        |
-| `P03` | Two moving objects collide                                                | MovingHitsMoving      | Laws of Momentum                                        |
 | `P04` | Objects in equilibrium of wind and gravity                                | WindGravityBalance    | Equilibrium, Aerodynamics, Gravity                      |
 | `P05` | Wind applied to a stationary object                                       | WindPushStationary    | Aerodynamics                                            |
 | `P06` | Wind applied to objects moving in same direction                          | WindPushSameDir       | Aerodynamics                                            |
@@ -475,172 +639,6 @@ The initial point cloud was obtained by back-projecting the pixels from each cam
 
 </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>
-
-<div style="margin-left: 24px;">
-
-PhysInOne is distributed across multiple Hugging Face dataset repositories because of its large scale. We provide two scripts for selecting and downloading cases:
-
-- `filter_cases.py`: parses the case-to-repository assignment file and exports selected cases to JSON.
-- `download.py`: downloads the selected case zip files from the corresponding Hugging Face shard repositories.
-
-The `filter_cases.py` script supports selection by:
-
-- Split: `train`, `val`, `test`
-- Activity complexity: `single`, `double`, `triple`
-- Physical phenomenon abbreviation: `MovingHitsFixed`, `FrictionStop`, `LiquidTension`, ..., `GranularFall`
-- Number of cases: globally sample `num` cases after filtering
-
-</div>
-
-<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>
-
-<div style="margin-left: 40px;">
-
-Please download the `assets` folder, which contains:
-
-```text
-metadata/
-  repo_assignment.txt
-  repo_map.json
-scripts/
-  filter_cases.py
-  download.py
-```
-
-</div>
-
-<h3 id="install-dependencies" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 24px;">2. Install Dependencies</h3>
-
-<div style="margin-left: 40px;">
-
-```bash
-pip install huggingface_hub tqdm
-```
-
-</div>
-
-<h3 id="filter-cases" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 24px;">3. Filter Cases</h3>
-
-<div style="margin-left: 40px;">
-
-The following examples show common filtering workflows.
-
-</div>
-
-<h4 id="filter-by-split" style="font-size: 1.12em; margin-top: 0.55em; margin-bottom: 0.14em; line-height: 1.18; margin-left: 48px;">3.1 Filter by split</h4>
-
-<div style="margin-left: 64px;">
-
-```bash
-python scripts/filter_cases.py \
-  --split train \
-  --output selected_cases.json
-```
-
-</div>
-
-<h4 id="filter-by-split-and-activity" style="font-size: 1.12em; margin-top: 0.55em; margin-bottom: 0.14em; line-height: 1.18; margin-left: 48px;">3.2 Filter by split and activity complexity</h4>
-
-<div style="margin-left: 64px;">
-
-```bash
-python scripts/filter_cases.py \
-  --split train \
-  --activity_type double \
-  --output selected_cases.json
-```
-
-</div>
-
-<h4 id="filter-by-phenomenon" style="font-size: 1.12em; margin-top: 0.55em; margin-bottom: 0.14em; line-height: 1.18; margin-left: 48px;">3.3 Filter by physical phenomenon abbreviation</h4>
-
-<div style="margin-left: 64px;">
-
-By default, phenomenon matching uses `contains` mode. For example, the following command selects all double-physics cases that contain `FrictionStop`:
-
-```bash
-python scripts/filter_cases.py \
-  --split train \
-  --activity_type double \
-  --phenomena FrictionStop \
-  --match_mode contains \
-  --output selected_cases.json
-```
-
-For exact matching, use `--match_mode exact`. Order does not matter. For example, this command selects cases whose phenomenon set is exactly `{AccelConcaveSpin, AccelSurfaceSpin}`:
-
-```bash
-python scripts/filter_cases.py \
-  --split train \
-  --activity_type double \
-  --phenomena AccelConcaveSpin AccelSurfaceSpin \
-  --match_mode exact \
-  --output selected_cases.json
-```
-
-</div>
-
-<h4 id="random-sampling" style="font-size: 1.12em; margin-top: 0.55em; margin-bottom: 0.14em; line-height: 1.18; margin-left: 48px;">3.4 Randomly sample a fixed number of cases</h4>
-
-<div style="margin-left: 64px;">
-
-`--num` is the global number of cases sampled after filtering. The default random seed is `42`.
-
-```bash
-python scripts/filter_cases.py \
-  --split train \
-  --activity_type double \
-  --phenomena FrictionStop \
-  --num 3000 \
-  --seed 42 \
-  --output selected_cases.json
-```
-
-</div>
-
-<h3 id="download-selected-cases" style="font-size: 1.35em; margin-top: 0.75em; margin-bottom: 0.22em; line-height: 1.2; margin-left: 24px;">4. Download Selected Cases</h3>
-
-<div style="margin-left: 40px;">
-
-Each selected case is downloaded as a zip file from the corresponding Hugging Face shard repository.
-
-```bash
-python scripts/download.py \
-  --selection selected_cases.json \
-  --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
-python scripts/download.py \
-  --selection selected_cases.json \
-  --output_dir ./PhysInOne \
-  --keep_shard_structure
-```
-
-The preserved structure is:
-
-```text
-PhysInOne/
-  physinone_part1/
-    Train/
-      DoublePhysics/
-        AccelConcaveSpin_AccelSurfaceSpin__bg070__K5ER39_trajectory.zip
-```
-
-</div>
-
 <h2 id="license" style="margin-left: 0; font-size: 1.9em; line-height: 1.22; margin-top: 1.2em; margin-bottom: 0.5em;">📜 License</h2>
 
 <div style="margin-left: 24px;">