Restructured splits and reorganized readme.

CONFIGS.md

@@ -0,0 +1,123 @@
+# OmniFall Configuration Reference
+
+All configurations are loaded via:
+
+```python
+from datasets import load_dataset
+ds = load_dataset("simplexsigil2/omnifall", "<config_name>")
+```
+
+## Labels (no train/val/test splits)
+
+| Config | Description |
+|---|---|
+| `labels` (default) | All staged + OOPS labels (52,618 segments, 7 columns) |
+| `labels-syn` | OF-Syn labels with demographic metadata (19,228 segments, 19 columns) |
+| `metadata-syn` | OF-Syn video-level metadata (12,000 videos) |
+| `framewise-syn` | OF-Syn frame-wise labels (81 labels per video) |
+
+## Same-Domain Configs
+
+### OF-Staged
+
+| Config | Description |
+|---|---|
+| `of-sta-cs` | 8 staged datasets, cross-subject splits |
+| `of-sta-cv` | 8 staged datasets, cross-view splits |
+
+### OF-ItW
+
+| Config | Description |
+|---|---|
+| `of-itw` | OOPS-Fall in-the-wild genuine accidents |
+
+Video loading requires the `omnifall` companion package (`pip install omnifall`).
+
+### OF-Syn
+
+| Config | Description |
+|---|---|
+| `of-syn` | Random 80/10/10 split |
+| `of-syn-cross-age` | Cross-age split (train: adults, test: children/elderly) |
+| `of-syn-cross-ethnicity` | Cross-ethnicity split |
+| `of-syn-cross-bmi` | Cross-BMI split (train: normal/underweight, test: obese) |
+
+Video loading requires the `omnifall` companion package.
+
+## Cross-Domain Evaluation (to-all)
+
+Train/val from a specific source, test on **all** datasets (staged test + ItW test + Syn random test). The `-cs`/`-cv` suffix controls how the staged portion of the test set is split.
+
+### Combined source configs
+
+| Config | Train/val source | Test |
+|---|---|---|
+| `of-sta-to-all-cs` | All 8 staged (CS) | All datasets (staged CS + ItW + Syn) |
+| `of-sta-to-all-cv` | All 8 staged (CV) | All datasets (staged CV + ItW + Syn) |
+| `of-syn-to-all-cs` | OF-Syn random | All datasets (staged CS + ItW + Syn) |
+| `of-syn-to-all-cv` | OF-Syn random | All datasets (staged CV + ItW + Syn) |
+| `of-sta-syn-to-all-cs` | Staged CS + OF-Syn | All datasets (staged CS + ItW + Syn) |
+| `of-sta-syn-to-all-cv` | Staged CV + OF-Syn | All datasets (staged CV + ItW + Syn) |
+
+### Individual staged dataset configs
+
+| Config pattern | Train/val source |
+|---|---|
+| `{dataset}-to-all-cs` | Individual staged dataset (CS split) |
+| `{dataset}-to-all-cv` | Individual staged dataset (CV split) |
+
+Available for: `caucafall`, `cmdfall`, `edf`, `gmdcsa24`, `le2i`, `mcfd`, `occu`, `up_fall`.
+
+Note: `mcfd-to-all-cs` has train only (1 subject, CS val is empty). `caucafall-to-all-cv` has train only (1 room, CV val is empty).
+
+## Aggregate Configs (staged + OOPS combined)
+
+| Config | Description |
+|---|---|
+| `cs` | Cross-subject splits for all staged + OOPS |
+| `cv` | Cross-view splits for all staged + OOPS |
+
+## Individual Dataset Configs
+
+Each staged dataset with both cross-subject (`-cs`) and cross-view (`-cv`) splits:
+
+| CS | CV |
+|---|---|
+| `caucafall-cs` | `caucafall-cv` |
+| `cmdfall-cs` | `cmdfall-cv` |
+| `edf-cs` | `edf-cv` |
+| `gmdcsa24-cs` | `gmdcsa24-cv` |
+| `le2i-cs` | `le2i-cv` |
+| `mcfd-cs` | `mcfd-cv` |
+| `occu-cs` | `occu-cv` |
+| `up_fall-cs` | `up_fall-cv` |
+
+Note: `mcfd-cs` has train only (1 subject). `caucafall-cv` has train only (1 room).
+
+## Deprecated Config Names
+
+The following old config names still work but may be removed in a future version:
+
+| Old Name | Use Instead |
+|---|---|
+| `cs-staged` | `of-sta-cs` |
+| `cv-staged` | `of-sta-cv` |
+| `cs-staged-wild` | `of-sta-to-all-cs` |
+| `cv-staged-wild` | `of-sta-to-all-cv` |
+| `of-sta-to-itw-cs` | `of-sta-to-all-cs` |
+| `of-sta-to-itw-cv` | `of-sta-to-all-cv` |
+| `of-sta-itw-cs` | `of-sta-to-all-cs` |
+| `of-sta-itw-cv` | `of-sta-to-all-cv` |
+| `of-syn-to-itw` | `of-syn-to-all-cs` |
+| `of-syn-itw` | `of-syn-to-all-cs` |
+| `of-sta-syn-to-itw-cs` | `of-sta-syn-to-all-cs` |
+| `of-sta-syn-to-itw-cv` | `of-sta-syn-to-all-cv` |
+| `OOPS` | `of-itw` |
+| `caucafall` | `caucafall-cs` |
+| `cmdfall` | `cmdfall-cs` |
+| `edf` | `edf-cs` |
+| `gmdcsa24` | `gmdcsa24-cs` |
+| `le2i` | `le2i-cs` |
+| `mcfd` | `mcfd-cs` |
+| `occu` | `occu-cs` |
+| `up_fall` | `up_fall-cs` |

LABELS.md

@@ -0,0 +1,53 @@
+# OmniFall Label Definitions
+
+The benchmark uses a sixteen-class activity taxonomy. Staged datasets use classes 0-9. OF-ItW and OF-Syn use the full range 0-15. The extended classes (10-15) are infrequent and can be mapped to "other" (class 9) for compatibility.
+
+## Core Classes (0-9, all datasets)
+
+- **`0|walk`** - Move around, including jogging and running and "drunk walking", but only if it is not part of some special exercise like pulling your knees up. Not when pushing a large object like a chair, but included carrying something small like an apple.
+- **`1|fall`** - The act of falling (from any previous state). Includes falling on a bed, if the process is not a controlled lying down with arms as support.
+- **`2|fallen`** - Being on the ground or a mattress after a fall.
+- **`3|sit_down`** - Sitting down on bed or chair or ground.
+- **`4|sitting`** - Sitting on bed or chair or ground.
+- **`5|lie_down`** - Lying down intentionally (in contrast to a fall) on ground or bed.
+- **`6|lying`** - Being in a lying position (in bed or on the ground) after intentionally getting into that position.
+- **`7|stand_up`** - Standing up from a fallen state, from lying or sitting. Includes getting from lying position into sitting position.
+- **`8|standing`** - Standing around without walking.
+- **`9|other`** - Any other activity, including e.g. walking while pushing an object like a chair.
+
+## Extended Classes (10-15, OF-ItW and OF-Syn)
+
+These classes capture additional activities observed in genuine accident and synthetic videos. They do not occur in staged datasets.
+
+- **`10|kneel_down`** - Transitioning from standing or another posture to a kneeling position.
+- **`11|kneeling`** - Being in a kneeling position (static posture).
+- **`12|squat_down`** - Transitioning to a squatting position.
+- **`13|squatting`** - Being in a squatting position (static posture).
+- **`14|crawl`** - Crawling on hands and knees or similar locomotion on the ground.
+- **`15|jump`** - Jumping action, including vertical jumps and jumps from elevated positions.
+
+## Motion Types
+
+There are two types of motions: **dynamic** ones like `walk` or `stand_up` and **static** ones like `fallen`, `sitting`, `lying`.
+
+**Dynamic motions** are annotated starting from the first frame that belongs to that action. For example, the transition from `walk` to `fall` begins at the first frame where the motion visibly diverges from walking.
+
+**Static motions** begin at the first frame where the person reaches a resting state. For `sit_down`, the label ends when the person stops adjusting their body position. For `fall`, the label ends when inertia-driven movement stops, and the subsequent `fallen` segment may still contain ground-level movement unrelated to the fall or recovery.
+
+## Label Sequences
+
+There are natural sequences of labels like `fall`, `fallen`, `stand_up`. However, these do not always appear together. A person might stand up directly after falling without a `fallen` segment, or sit down and immediately stand up without a `sitting` segment.
+
+Lying down is intentional (in contrast to `fall`). Falls can follow `sit_down` or `lie_down` when falling from a chair or bed.
+
+Getting from a lying position to sitting counts as `stand_up`, even if the person remains seated. A full sequence might be: `lying`, `stand_up`, `sitting`, `stand_up` (lying in bed, sitting up, pausing, then fully standing).
+
+The distinction between `sit_down` followed by `lie_down` versus a single `lie_down` depends on whether there is a moment of rest in the sitting position. If the person transitions directly from standing through sitting to lying without pause, only `lie_down` is labeled.
+
+## Annotation Process
+
+The annotation video below demonstrates how VGG VIA was used for dense temporal annotation. Pre-existing dataset labels served as visual aid, but all videos were relabeled using OmniFall's label definitions to ensure consistency. The example shows CMDFall, which already provides relatively detailed labels; other source datasets have sparser original annotations.
+
+Blurred regions in the video were added in post-processing to protect subject privacy on this page.
+
+<video src="https://huggingface.co/datasets/simplexsigil2/omnifall/resolve/main/annotation_remarks.webm" controls />

README.md

@@ -86,6 +86,218 @@ configs:
     path: parquet/of-syn-cross-bmi/validation-*.parquet
   - split: test
     path: parquet/of-syn-cross-bmi/test-*.parquet
+- config_name: caucafall-to-all-cs
+  data_files:
+  - split: train
+    path: parquet/caucafall-to-all-cs/train-*.parquet
+  - split: validation
+    path: parquet/caucafall-to-all-cs/validation-*.parquet
+  - split: test
+    path: parquet/caucafall-to-all-cs/test-*.parquet
+- config_name: caucafall-to-all-cv
+  data_files:
+  - split: train
+    path: parquet/caucafall-to-all-cv/train-*.parquet
+  - split: test
+    path: parquet/caucafall-to-all-cv/test-*.parquet
+- config_name: cmdfall-to-all-cs
+  data_files:
+  - split: train
+    path: parquet/cmdfall-to-all-cs/train-*.parquet
+  - split: validation
+    path: parquet/cmdfall-to-all-cs/validation-*.parquet
+  - split: test
+    path: parquet/cmdfall-to-all-cs/test-*.parquet
+- config_name: cmdfall-to-all-cv
+  data_files:
+  - split: train
+    path: parquet/cmdfall-to-all-cv/train-*.parquet
+  - split: validation
+    path: parquet/cmdfall-to-all-cv/validation-*.parquet
+  - split: test
+    path: parquet/cmdfall-to-all-cv/test-*.parquet
+- config_name: edf-to-all-cs
+  data_files:
+  - split: train
+    path: parquet/edf-to-all-cs/train-*.parquet
+  - split: validation
+    path: parquet/edf-to-all-cs/validation-*.parquet
+  - split: test
+    path: parquet/edf-to-all-cs/test-*.parquet
+- config_name: edf-to-all-cv
+  data_files:
+  - split: train
+    path: parquet/edf-to-all-cv/train-*.parquet
+  - split: validation
+    path: parquet/edf-to-all-cv/validation-*.parquet
+  - split: test
+    path: parquet/edf-to-all-cv/test-*.parquet
+- config_name: gmdcsa24-to-all-cs
+  data_files:
+  - split: train
+    path: parquet/gmdcsa24-to-all-cs/train-*.parquet
+  - split: validation
+    path: parquet/gmdcsa24-to-all-cs/validation-*.parquet
+  - split: test
+    path: parquet/gmdcsa24-to-all-cs/test-*.parquet
+- config_name: gmdcsa24-to-all-cv
+  data_files:
+  - split: train
+    path: parquet/gmdcsa24-to-all-cv/train-*.parquet
+  - split: validation
+    path: parquet/gmdcsa24-to-all-cv/validation-*.parquet
+  - split: test
+    path: parquet/gmdcsa24-to-all-cv/test-*.parquet
+- config_name: le2i-to-all-cs
+  data_files:
+  - split: train
+    path: parquet/le2i-to-all-cs/train-*.parquet
+  - split: validation
+    path: parquet/le2i-to-all-cs/validation-*.parquet
+  - split: test
+    path: parquet/le2i-to-all-cs/test-*.parquet
+- config_name: le2i-to-all-cv
+  data_files:
+  - split: train
+    path: parquet/le2i-to-all-cv/train-*.parquet
+  - split: validation
+    path: parquet/le2i-to-all-cv/validation-*.parquet
+  - split: test
+    path: parquet/le2i-to-all-cv/test-*.parquet
+- config_name: mcfd-to-all-cs
+  data_files:
+  - split: train
+    path: parquet/mcfd-to-all-cs/train-*.parquet
+  - split: test
+    path: parquet/mcfd-to-all-cs/test-*.parquet
+- config_name: mcfd-to-all-cv
+  data_files:
+  - split: train
+    path: parquet/mcfd-to-all-cv/train-*.parquet
+  - split: validation
+    path: parquet/mcfd-to-all-cv/validation-*.parquet
+  - split: test
+    path: parquet/mcfd-to-all-cv/test-*.parquet
+- config_name: occu-to-all-cs
+  data_files:
+  - split: train
+    path: parquet/occu-to-all-cs/train-*.parquet
+  - split: validation
+    path: parquet/occu-to-all-cs/validation-*.parquet
+  - split: test
+    path: parquet/occu-to-all-cs/test-*.parquet
+- config_name: occu-to-all-cv
+  data_files:
+  - split: train
+    path: parquet/occu-to-all-cv/train-*.parquet
+  - split: validation
+    path: parquet/occu-to-all-cv/validation-*.parquet
+  - split: test
+    path: parquet/occu-to-all-cv/test-*.parquet
+- config_name: up_fall-to-all-cs
+  data_files:
+  - split: train
+    path: parquet/up_fall-to-all-cs/train-*.parquet
+  - split: validation
+    path: parquet/up_fall-to-all-cs/validation-*.parquet
+  - split: test
+    path: parquet/up_fall-to-all-cs/test-*.parquet
+- config_name: up_fall-to-all-cv
+  data_files:
+  - split: train
+    path: parquet/up_fall-to-all-cv/train-*.parquet
+  - split: validation
+    path: parquet/up_fall-to-all-cv/validation-*.parquet
+  - split: test
+    path: parquet/up_fall-to-all-cv/test-*.parquet
+- config_name: of-sta-to-all-cs
+  data_files:
+  - split: train
+    path: parquet/of-sta-to-all-cs/train-*.parquet
+  - split: validation
+    path: parquet/of-sta-to-all-cs/validation-*.parquet
+  - split: test
+    path: parquet/of-sta-to-all-cs/test-*.parquet
+- config_name: of-sta-to-all-cv
+  data_files:
+  - split: train
+    path: parquet/of-sta-to-all-cv/train-*.parquet
+  - split: validation
+    path: parquet/of-sta-to-all-cv/validation-*.parquet
+  - split: test
+    path: parquet/of-sta-to-all-cv/test-*.parquet
+- config_name: of-syn-to-all-cs
+  data_files:
+  - split: train
+    path: parquet/of-syn-to-all-cs/train-*.parquet
+  - split: validation
+    path: parquet/of-syn-to-all-cs/validation-*.parquet
+  - split: test
+    path: parquet/of-syn-to-all-cs/test-*.parquet
+- config_name: of-syn-to-all-cv
+  data_files:
+  - split: train
+    path: parquet/of-syn-to-all-cv/train-*.parquet
+  - split: validation
+    path: parquet/of-syn-to-all-cv/validation-*.parquet
+  - split: test
+    path: parquet/of-syn-to-all-cv/test-*.parquet
+- config_name: of-sta-syn-to-all-cs
+  data_files:
+  - split: train
+    path: parquet/of-sta-syn-to-all-cs/train-*.parquet
+  - split: validation
+    path: parquet/of-sta-syn-to-all-cs/validation-*.parquet
+  - split: test
+    path: parquet/of-sta-syn-to-all-cs/test-*.parquet
+- config_name: of-sta-syn-to-all-cv
+  data_files:
+  - split: train
+    path: parquet/of-sta-syn-to-all-cv/train-*.parquet
+  - split: validation
+    path: parquet/of-sta-syn-to-all-cv/validation-*.parquet
+  - split: test
+    path: parquet/of-sta-syn-to-all-cv/test-*.parquet
+- config_name: of-sta-to-itw-cs
+  data_files:
+  - split: train
+    path: parquet/of-sta-to-itw-cs/train-*.parquet
+  - split: validation
+    path: parquet/of-sta-to-itw-cs/validation-*.parquet
+  - split: test
+    path: parquet/of-sta-to-itw-cs/test-*.parquet
+- config_name: of-sta-to-itw-cv
+  data_files:
+  - split: train
+    path: parquet/of-sta-to-itw-cv/train-*.parquet
+  - split: validation
+    path: parquet/of-sta-to-itw-cv/validation-*.parquet
+  - split: test
+    path: parquet/of-sta-to-itw-cv/test-*.parquet
+- config_name: of-syn-to-itw
+  data_files:
+  - split: train
+    path: parquet/of-syn-to-itw/train-*.parquet
+  - split: validation
+    path: parquet/of-syn-to-itw/validation-*.parquet
+  - split: test
+    path: parquet/of-syn-to-itw/test-*.parquet
+- config_name: of-sta-syn-to-itw-cs
+  data_files:
+  - split: train
+    path: parquet/of-sta-syn-to-itw-cs/train-*.parquet
+  - split: validation
+    path: parquet/of-sta-syn-to-itw-cs/validation-*.parquet
+  - split: test
+    path: parquet/of-sta-syn-to-itw-cs/test-*.parquet
+- config_name: of-sta-syn-to-itw-cv
+  data_files:
+  - split: train
+    path: parquet/of-sta-syn-to-itw-cv/train-*.parquet
+  - split: validation
+    path: parquet/of-sta-syn-to-itw-cv/validation-*.parquet
+  - split: test
+    path: parquet/of-sta-syn-to-itw-cv/test-*.parquet
 - config_name: of-sta-itw-cs
   data_files:
   - split: train
@@ -126,6 +338,126 @@ configs:
     path: parquet/cv/validation-*.parquet
   - split: test
     path: parquet/cv/test-*.parquet
+- config_name: caucafall-cs
+  data_files:
+  - split: train
+    path: parquet/caucafall-cs/train-*.parquet
+  - split: validation
+    path: parquet/caucafall-cs/validation-*.parquet
+  - split: test
+    path: parquet/caucafall-cs/test-*.parquet
+- config_name: caucafall-cv
+  data_files:
+  - split: train
+    path: parquet/caucafall-cv/train-*.parquet
+- config_name: cmdfall-cs
+  data_files:
+  - split: train
+    path: parquet/cmdfall-cs/train-*.parquet
+  - split: validation
+    path: parquet/cmdfall-cs/validation-*.parquet
+  - split: test
+    path: parquet/cmdfall-cs/test-*.parquet
+- config_name: cmdfall-cv
+  data_files:
+  - split: train
+    path: parquet/cmdfall-cv/train-*.parquet
+  - split: validation
+    path: parquet/cmdfall-cv/validation-*.parquet
+  - split: test
+    path: parquet/cmdfall-cv/test-*.parquet
+- config_name: edf-cs
+  data_files:
+  - split: train
+    path: parquet/edf-cs/train-*.parquet
+  - split: validation
+    path: parquet/edf-cs/validation-*.parquet
+  - split: test
+    path: parquet/edf-cs/test-*.parquet
+- config_name: edf-cv
+  data_files:
+  - split: train
+    path: parquet/edf-cv/train-*.parquet
+  - split: validation
+    path: parquet/edf-cv/validation-*.parquet
+  - split: test
+    path: parquet/edf-cv/test-*.parquet
+- config_name: gmdcsa24-cs
+  data_files:
+  - split: train
+    path: parquet/gmdcsa24-cs/train-*.parquet
+  - split: validation
+    path: parquet/gmdcsa24-cs/validation-*.parquet
+  - split: test
+    path: parquet/gmdcsa24-cs/test-*.parquet
+- config_name: gmdcsa24-cv
+  data_files:
+  - split: train
+    path: parquet/gmdcsa24-cv/train-*.parquet
+  - split: validation
+    path: parquet/gmdcsa24-cv/validation-*.parquet
+  - split: test
+    path: parquet/gmdcsa24-cv/test-*.parquet
+- config_name: le2i-cs
+  data_files:
+  - split: train
+    path: parquet/le2i-cs/train-*.parquet
+  - split: validation
+    path: parquet/le2i-cs/validation-*.parquet
+  - split: test
+    path: parquet/le2i-cs/test-*.parquet
+- config_name: le2i-cv
+  data_files:
+  - split: train
+    path: parquet/le2i-cv/train-*.parquet
+  - split: validation
+    path: parquet/le2i-cv/validation-*.parquet
+  - split: test
+    path: parquet/le2i-cv/test-*.parquet
+- config_name: mcfd-cs
+  data_files:
+  - split: train
+    path: parquet/mcfd-cs/train-*.parquet
+- config_name: mcfd-cv
+  data_files:
+  - split: train
+    path: parquet/mcfd-cv/train-*.parquet
+  - split: validation
+    path: parquet/mcfd-cv/validation-*.parquet
+  - split: test
+    path: parquet/mcfd-cv/test-*.parquet
+- config_name: occu-cs
+  data_files:
+  - split: train
+    path: parquet/occu-cs/train-*.parquet
+  - split: validation
+    path: parquet/occu-cs/validation-*.parquet
+  - split: test
+    path: parquet/occu-cs/test-*.parquet
+- config_name: occu-cv
+  data_files:
+  - split: train
+    path: parquet/occu-cv/train-*.parquet
+  - split: validation
+    path: parquet/occu-cv/validation-*.parquet
+  - split: test
+    path: parquet/occu-cv/test-*.parquet
+- config_name: up_fall-cs
+  data_files:
+  - split: train
+    path: parquet/up_fall-cs/train-*.parquet
+  - split: validation
+    path: parquet/up_fall-cs/validation-*.parquet
+  - split: test
+    path: parquet/up_fall-cs/test-*.parquet
+- config_name: up_fall-cv
+  data_files:
+  - split: train
+    path: parquet/up_fall-cv/train-*.parquet
+  - split: validation
+    path: parquet/up_fall-cv/validation-*.parquet
+  - split: test
+    path: parquet/up_fall-cv/test-*.parquet
 - config_name: caucafall
   data_files:
   - split: train
@@ -205,19 +537,19 @@ configs:
 - config_name: cs-staged-wild
   data_files:
   - split: train
-    path: parquet/cs-staged-wild/train-*.parquet
+    path: parquet/of-sta-to-all-cs/train-*.parquet
   - split: validation
-    path: parquet/cs-staged-wild/validation-*.parquet
+    path: parquet/of-sta-to-all-cs/validation-*.parquet
   - split: test
-    path: parquet/cs-staged-wild/test-*.parquet
+    path: parquet/of-sta-to-all-cs/test-*.parquet
 - config_name: cv-staged-wild
   data_files:
   - split: train
-    path: parquet/cv-staged-wild/train-*.parquet
+    path: parquet/of-sta-to-all-cv/train-*.parquet
   - split: validation
-    path: parquet/cv-staged-wild/validation-*.parquet
+    path: parquet/of-sta-to-all-cv/validation-*.parquet
   - split: test
-    path: parquet/cv-staged-wild/test-*.parquet
+    path: parquet/of-sta-to-all-cv/test-*.parquet
 - config_name: OOPS
   data_files:
   - split: train
@@ -1339,7 +1671,7 @@ dataset_info:
   - name: test
     num_bytes: 0
     num_examples: 4852
-- config_name: of-sta-itw-cs
+- config_name: caucafall-to-all-cs
   features:
   - name: path
     dtype: string
@@ -1376,14 +1708,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 26036
+    num_examples: 176
   - name: validation
     num_bytes: 0
-    num_examples: 4272
+    num_examples: 25
   - name: test
     num_bytes: 0
-    num_examples: 3673
-- config_name: of-sta-itw-cv
+    num_examples: 24265
+- config_name: caucafall-to-all-cv
   features:
   - name: path
     dtype: string
@@ -1420,14 +1752,11 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 8888
-  - name: validation
-    num_bytes: 0
-    num_examples: 8185
+    num_examples: 254
   - name: test
     num_bytes: 0
-    num_examples: 3673
-- config_name: of-syn-itw
+    num_examples: 32800
+- config_name: cmdfall-to-all-cs
   features:
   - name: path
     dtype: string
@@ -1464,14 +1793,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 15344
+    num_examples: 20884
   - name: validation
     num_bytes: 0
-    num_examples: 1956
+    num_examples: 3689
   - name: test
     num_bytes: 0
-    num_examples: 3673
-- config_name: cs
+    num_examples: 24265
+- config_name: cmdfall-to-all-cv
   features:
   - name: path
     dtype: string
@@ -1508,14 +1837,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 27059
+    num_examples: 5987
   - name: validation
     num_bytes: 0
-    num_examples: 4754
+    num_examples: 6026
   - name: test
     num_bytes: 0
-    num_examples: 22337
-- config_name: cv
+    num_examples: 32800
+- config_name: edf-to-all-cs
   features:
   - name: path
     dtype: string
@@ -1552,14 +1881,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 9911
+    num_examples: 302
   - name: validation
     num_bytes: 0
-    num_examples: 8667
+    num_examples: 78
   - name: test
     num_bytes: 0
-    num_examples: 30872
-- config_name: caucafall
+    num_examples: 24265
+- config_name: edf-to-all-cv
   features:
   - name: path
     dtype: string
@@ -1596,14 +1925,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 176
+    num_examples: 254
   - name: validation
     num_bytes: 0
-    num_examples: 25
+    num_examples: 254
   - name: test
     num_bytes: 0
-    num_examples: 47
-- config_name: cmdfall
+    num_examples: 32800
+- config_name: gmdcsa24-to-all-cs
   features:
   - name: path
     dtype: string
@@ -1640,14 +1969,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 20884
+    num_examples: 213
   - name: validation
     num_bytes: 0
-    num_examples: 3689
+    num_examples: 152
   - name: test
     num_bytes: 0
-    num_examples: 17570
-- config_name: edf
+    num_examples: 24265
+- config_name: gmdcsa24-to-all-cv
   features:
   - name: path
     dtype: string
@@ -1684,14 +2013,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 302
+    num_examples: 276
   - name: validation
     num_bytes: 0
-    num_examples: 78
+    num_examples: 89
   - name: test
     num_bytes: 0
-    num_examples: 128
-- config_name: gmdcsa24
+    num_examples: 32800
+- config_name: le2i-to-all-cs
   features:
   - name: path
     dtype: string
@@ -1728,14 +2057,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 213
+    num_examples: 670
   - name: validation
     num_bytes: 0
-    num_examples: 152
+    num_examples: 94
   - name: test
     num_bytes: 0
-    num_examples: 93
-- config_name: le2i
+    num_examples: 24265
+- config_name: le2i-to-all-cv
   features:
   - name: path
     dtype: string
@@ -1772,14 +2101,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 670
+    num_examples: 490
   - name: validation
     num_bytes: 0
-    num_examples: 94
+    num_examples: 195
   - name: test
     num_bytes: 0
-    num_examples: 203
-- config_name: mcfd
+    num_examples: 32800
+- config_name: mcfd-to-all-cs
   features:
   - name: path
     dtype: string
@@ -1817,7 +2146,10 @@ dataset_info:
   - name: train
     num_bytes: 0
     num_examples: 1352
-- config_name: occu
+  - name: test
+    num_bytes: 0
+    num_examples: 24265
+- config_name: mcfd-to-all-cv
   features:
   - name: path
     dtype: string
@@ -1854,14 +2186,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 289
+    num_examples: 169
   - name: validation
     num_bytes: 0
-    num_examples: 94
+    num_examples: 169
   - name: test
     num_bytes: 0
-    num_examples: 101
-- config_name: up_fall
+    num_examples: 32800
+- config_name: occu-to-all-cs
   features:
   - name: path
     dtype: string
@@ -1898,14 +2230,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 2150
+    num_examples: 289
   - name: validation
     num_bytes: 0
-    num_examples: 140
+    num_examples: 94
   - name: test
     num_bytes: 0
-    num_examples: 522
-- config_name: cs-staged
+    num_examples: 24265
+- config_name: occu-to-all-cv
   features:
   - name: path
     dtype: string
@@ -1942,14 +2274,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 26036
+    num_examples: 245
   - name: validation
     num_bytes: 0
-    num_examples: 4272
+    num_examples: 239
   - name: test
     num_bytes: 0
-    num_examples: 18664
-- config_name: cv-staged
+    num_examples: 32800
+- config_name: up_fall-to-all-cs
   features:
   - name: path
     dtype: string
@@ -1986,14 +2318,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 8888
+    num_examples: 2150
   - name: validation
     num_bytes: 0
-    num_examples: 8185
+    num_examples: 140
   - name: test
     num_bytes: 0
-    num_examples: 27199
-- config_name: cs-staged-wild
+    num_examples: 24265
+- config_name: up_fall-to-all-cv
   features:
   - name: path
     dtype: string
@@ -2030,14 +2362,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 26036
+    num_examples: 1213
   - name: validation
     num_bytes: 0
-    num_examples: 4272
+    num_examples: 1213
   - name: test
     num_bytes: 0
-    num_examples: 3673
-- config_name: cv-staged-wild
+    num_examples: 32800
+- config_name: of-sta-to-all-cs
   features:
   - name: path
     dtype: string
@@ -2074,14 +2406,14 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 8888
+    num_examples: 26036
   - name: validation
     num_bytes: 0
-    num_examples: 8185
+    num_examples: 4272
   - name: test
     num_bytes: 0
-    num_examples: 3673
-- config_name: OOPS
+    num_examples: 24265
+- config_name: of-sta-to-all-cv
   features:
   - name: path
     dtype: string
@@ -2118,10 +2450,1884 @@ dataset_info:
   splits:
   - name: train
     num_bytes: 0
-    num_examples: 1023
+    num_examples: 8888
   - name: validation
     num_bytes: 0
-    num_examples: 482
+    num_examples: 8185
+  - name: test
+    num_bytes: 0
+    num_examples: 32800
+- config_name: of-syn-to-all-cs
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 15344
+  - name: validation
+    num_bytes: 0
+    num_examples: 1956
+  - name: test
+    num_bytes: 0
+    num_examples: 24265
+- config_name: of-syn-to-all-cv
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 15344
+  - name: validation
+    num_bytes: 0
+    num_examples: 1956
+  - name: test
+    num_bytes: 0
+    num_examples: 32800
+- config_name: of-sta-syn-to-all-cs
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 41380
+  - name: validation
+    num_bytes: 0
+    num_examples: 6228
+  - name: test
+    num_bytes: 0
+    num_examples: 24265
+- config_name: of-sta-syn-to-all-cv
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
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+    num_examples: 24232
+  - name: validation
+    num_bytes: 0
+    num_examples: 10141
+  - name: test
+    num_bytes: 0
+    num_examples: 32800
+- config_name: of-sta-to-itw-cs
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 26036
+  - name: validation
+    num_bytes: 0
+    num_examples: 4272
+  - name: test
+    num_bytes: 0
+    num_examples: 24265
+- config_name: of-sta-to-itw-cv
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 8888
+  - name: validation
+    num_bytes: 0
+    num_examples: 8185
+  - name: test
+    num_bytes: 0
+    num_examples: 32800
+- config_name: of-syn-to-itw
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 15344
+  - name: validation
+    num_bytes: 0
+    num_examples: 1956
+  - name: test
+    num_bytes: 0
+    num_examples: 24265
+- config_name: of-sta-syn-to-itw-cs
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 41380
+  - name: validation
+    num_bytes: 0
+    num_examples: 6228
+  - name: test
+    num_bytes: 0
+    num_examples: 24265
+- config_name: of-sta-syn-to-itw-cv
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 24232
+  - name: validation
+    num_bytes: 0
+    num_examples: 10141
+  - name: test
+    num_bytes: 0
+    num_examples: 32800
+- config_name: of-sta-itw-cs
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 26036
+  - name: validation
+    num_bytes: 0
+    num_examples: 4272
+  - name: test
+    num_bytes: 0
+    num_examples: 24265
+- config_name: of-sta-itw-cv
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 8888
+  - name: validation
+    num_bytes: 0
+    num_examples: 8185
+  - name: test
+    num_bytes: 0
+    num_examples: 32800
+- config_name: of-syn-itw
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 15344
+  - name: validation
+    num_bytes: 0
+    num_examples: 1956
+  - name: test
+    num_bytes: 0
+    num_examples: 24265
+- config_name: cs
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
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+          '6': lying
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+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
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+- config_name: cv
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+  - name: label
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+          '0': walk
+          '1': fall
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+          '11': kneeling
+          '12': squat_down
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+          '14': crawl
+          '15': jump
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+  - name: validation
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+- config_name: caucafall-cs
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+  - name: path
+    dtype: string
+  - name: label
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+          '0': walk
+          '1': fall
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+          '14': crawl
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+    num_examples: 176
+  - name: validation
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+- config_name: caucafall-cv
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+    dtype: string
+  - name: label
+    dtype:
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+          '0': walk
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+  - name: dataset
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+- config_name: cmdfall-cs
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+  - name: label
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+          '0': walk
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+  - name: validation
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+  - name: test
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+- config_name: cmdfall-cv
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+    dtype: string
+  - name: label
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+          '0': walk
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+- config_name: edf-cs
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+    dtype: string
+  - name: label
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+          '0': walk
+          '1': fall
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+  - name: validation
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+  - name: test
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+- config_name: edf-cv
+  features:
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+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
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+  - name: validation
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+- config_name: gmdcsa24-cs
+  features:
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+    dtype: string
+  - name: label
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+        names:
+          '0': walk
+          '1': fall
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+    num_examples: 213
+  - name: validation
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+- config_name: gmdcsa24-cv
+  features:
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+    dtype: string
+  - name: label
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+        names:
+          '0': walk
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+- config_name: le2i-cs
+  features:
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+    dtype: string
+  - name: label
+    dtype:
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+        names:
+          '0': walk
+          '1': fall
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+  - name: subject
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+    num_examples: 670
+  - name: validation
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+- config_name: le2i-cv
+  features:
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+    dtype: string
+  - name: label
+    dtype:
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+        names:
+          '0': walk
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+- config_name: mcfd-cs
+  features:
+  - name: path
+    dtype: string
+  - name: label
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+        names:
+          '0': walk
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+  - name: dataset
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+    num_examples: 1352
+- config_name: mcfd-cv
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+    dtype: string
+  - name: label
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+          '0': walk
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+  - name: validation
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+- config_name: occu-cs
+  features:
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+    dtype: string
+  - name: label
+    dtype:
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+          '0': walk
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+          '14': crawl
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+  - name: subject
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+    num_examples: 289
+  - name: validation
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+- config_name: occu-cv
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
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+        names:
+          '0': walk
+          '1': fall
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+  - name: validation
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+- config_name: up_fall-cs
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
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+          '14': crawl
+          '15': jump
+  - name: start
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+  - name: subject
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+  - name: cam
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+  - name: dataset
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+    num_examples: 2150
+  - name: validation
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+  - name: test
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+    num_examples: 522
+- config_name: up_fall-cv
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
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+  - name: subject
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+  - name: validation
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+  - name: test
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+- config_name: cmdfall
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
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+          '14': crawl
+          '15': jump
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+  - name: subject
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+    num_examples: 20884
+  - name: validation
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+  - name: test
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+- config_name: edf
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
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+  - name: subject
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+    num_examples: 302
+  - name: validation
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+- config_name: gmdcsa24
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
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+    num_examples: 213
+  - name: validation
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+- config_name: le2i
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
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+          '0': walk
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+    num_examples: 670
+  - name: validation
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+- config_name: mcfd
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+  - name: path
+    dtype: string
+  - name: label
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+          '0': walk
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+  - name: dataset
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+    num_examples: 1352
+- config_name: occu
+  features:
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+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 289
+  - name: validation
+    num_bytes: 0
+    num_examples: 94
+  - name: test
+    num_bytes: 0
+    num_examples: 101
+- config_name: up_fall
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 2150
+  - name: validation
+    num_bytes: 0
+    num_examples: 140
+  - name: test
+    num_bytes: 0
+    num_examples: 522
+- config_name: caucafall
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 176
+  - name: validation
+    num_bytes: 0
+    num_examples: 25
+  - name: test
+    num_bytes: 0
+    num_examples: 47
+- config_name: cs-staged
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 26036
+  - name: validation
+    num_bytes: 0
+    num_examples: 4272
+  - name: test
+    num_bytes: 0
+    num_examples: 18664
+- config_name: cv-staged
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 8888
+  - name: validation
+    num_bytes: 0
+    num_examples: 8185
+  - name: test
+    num_bytes: 0
+    num_examples: 27199
+- config_name: cs-staged-wild
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 26036
+  - name: validation
+    num_bytes: 0
+    num_examples: 4272
+  - name: test
+    num_bytes: 0
+    num_examples: 24265
+- config_name: cv-staged-wild
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 8888
+  - name: validation
+    num_bytes: 0
+    num_examples: 8185
+  - name: test
+    num_bytes: 0
+    num_examples: 32800
+- config_name: OOPS
+  features:
+  - name: path
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': walk
+          '1': fall
+          '2': fallen
+          '3': sit_down
+          '4': sitting
+          '5': lie_down
+          '6': lying
+          '7': stand_up
+          '8': standing
+          '9': other
+          '10': kneel_down
+          '11': kneeling
+          '12': squat_down
+          '13': squatting
+          '14': crawl
+          '15': jump
+  - name: start
+    dtype: float32
+  - name: end
+    dtype: float32
+  - name: subject
+    dtype: int32
+  - name: cam
+    dtype: int32
+  - name: dataset
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 0
+    num_examples: 1023
+  - name: validation
+    num_bytes: 0
+    num_examples: 482
   - name: test
     num_bytes: 0
     num_examples: 3673
@@ -2133,307 +4339,104 @@ dataset_info:
 </a>
 </br>
 <a href="https://simplexsigil.github.io/omnifall/">
-  <img src="https://img.shields.io/badge/Omnifall-Project_Page-2FA7C9.svg" alt="arXiv" style="height:20px;">
+  <img src="https://img.shields.io/badge/Omnifall-Project_Page-2FA7C9.svg" alt="Project Page" style="height:20px;">
 </a>
 
 # OmniFall: A Unified Benchmark for Staged-to-Wild Fall Detection
 
-This repository contains annotations, splits, and metadata for OmniFall, a comprehensive benchmark with three components:
-
-- **OF-Staged (OF-Sta):** 8 public staged fall detection datasets (~14h single-view, 112 subjects, 31 camera views)
-- **OF-In-the-Wild (OF-ItW):** Curated genuine accident videos from OOPS (~2.7h, 818 videos)
-- **OF-Synthetic (OF-Syn):** 12,000 synthetic videos generated with Wan 2.2 (~17h) with controlled demographic diversity
-
-All components share a sixteen-class activity taxonomy. Staged datasets use the core ten classes (0-9), while OF-ItW and OF-Syn use the full sixteen classes (0-15).
-
-[OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall Detection](https://arxiv.org/abs/2505.19889)
-
-Also have a look for additional information on our project page:
-
-[OmniFall Project Page](https://simplexsigil.github.io/omnifall/)
-
-## Datasets
-
-### OF-Staged (8 public datasets)
-
-1. **[CMDFall](https://www.mica.edu.vn/perso/Tran-Thi-Thanh-Hai/CMDFALL.html)** (7h 25m single view) - 50 subjects, 7 synchronized views
-2. **[UP Fall](https://sites.google.com/up.edu.mx/har-up/)** (4h 35m) - 17 subjects, 2 synchronized views
-3. **[Le2i](https://search-data.ubfc.fr/imvia/FR-13002091000019-2024-04-09_Fall-Detection-Dataset.html)** (47m) - 9 subjects, 6 different rooms
-4. **[GMDCSA24](https://github.com/ekramalam/GMDCSA24-A-Dataset-for-Human-Fall-Detection-in-Videos)** (21m) - 4 subjects, 3 rooms
-5. **[CAUCAFall](https://data.mendeley.com/datasets/7w7fccy7ky/4)** (16m) - 10 subjects, 1 room
-6. **[EDF](https://doi.org/10.5281/zenodo.15494102)** (13m) - 5 subjects, 2 views synchronized
-7. **[OCCU](https://doi.org/10.5281/zenodo.15494102)** (14m) - 5 subjects, 2 views not synchronized
-8. **[MCFD](https://www.iro.umontreal.ca/~labimage/Dataset/)** (12m) - 1 subject, 8 views
+OmniFall is a comprehensive fall detection benchmark with dense temporal segment annotations across three components: **OF-Staged** (8 public lab datasets), **OF-In-the-Wild** (genuine accidents from OOPS), and **OF-Synthetic** (12,000 diffusion-generated videos with demographic diversity). All components share a sixteen-class activity taxonomy.
 
-### OF-ItW (In-the-Wild)
+[[Paper]](https://arxiv.org/abs/2505.19889) [[Project Page]](https://simplexsigil.github.io/omnifall/)
 
-9. **[OOPS-Fall](https://oops.cs.columbia.edu/data/)** (2h 39m) - Curated subset of genuine fall accidents from the OOPS dataset, strong variation in subjects and views.
+## Quickstart
 
-### OF-Syn (Synthetic)
-
-10. **OF-Syn** (16h 53m) - 12,000 synthetic videos generated with Wan 2.2 video diffusion model. Features controlled demographic diversity across age (6 groups), ethnicity (7 OMB categories), body type (4 BMI bands), gender, and environments. Labels include 19 columns: 7 core annotation fields plus 12 demographic and scene metadata fields.
-
-## Structure
-
-The repository is organized as follows:
-
-- `omnifall_builder.py` - Dataset builder (reference, not used by HF directly)
-- `parquet/` - Pre-built parquet files for all configs (used by `load_dataset`)
-- `labels/` - CSV files containing temporal segment annotations
-  - Staged/OOPS labels: 7 columns (`path, label, start, end, subject, cam, dataset`)
-  - OF-Syn labels: 19 columns (7 core + 12 demographic/scene metadata)
-- `splits/` - Train/validation/test splits
-  - `splits/cs/` - Cross-subject splits (staged + OOPS)
-  - `splits/cv/` - Cross-view splits (staged + OOPS)
-  - `splits/syn/` - Synthetic splits (random, cross_age, cross_ethnicity, cross_bmi)
-- `videos/metadata.csv` - OF-Syn video-level metadata (12,000 videos)
-- `data_files/omnifall-synthetic_av1.tar` - OF-Syn video archive (12,000 AV1-encoded MP4s)
-- `data_files/syn_frame_wise_labels.tar.zst` - OF-Syn frame-wise HDF5 labels
-- `data_files/oops_video_mapping.csv` - Mapping from OOPS original filenames to OF-ItW sanitized names
-- `prepare_oops_videos.py` - Script to extract OOPS videos for OF-ItW (streams from source, no 45GB download needed)
-
-### Label Format
-
-Each label file in the `labels/` directory follows this format:
-
-```
-path,label,start,end,subject,cam,dataset
-path/to/clip,class_id,start_time,end_time,subject_id,camera_id,dataset_name
-```
-
-Where:
-- `path`: Relative path to the video, given the respective dataset root.
-- `label`: Class ID (0-15) corresponding to one of sixteen activity classes:
-  - 0: walk
-  - 1: fall
-  - 2: fallen
-  - 3: sit_down
-  - 4: sitting
-  - 5: lie_down
-  - 6: lying
-  - 7: stand_up
-  - 8: standing
-  - 9: other
-  - 10: kneel_down
-  - 11: kneeling
-  - 12: squat_down
-  - 13: squatting
-  - 14: crawl
-  - 15: jump
-- `start`: Start time of the segment (in seconds)
-- `end`: End time of the segment (in seconds)
-- `subject`: Subject ID
-- `cam`: Camera view ID
-- `dataset`: Name of the dataset
-
-**Note on class usage:** Staged datasets (OF-Sta) use only the core ten classes (0-9). OF-ItW and OF-Syn use the full sixteen-class taxonomy. The extended classes (10-15) are infrequent and can be treated as "other" (class 9) for compatibility.
-
-Cam and subject IDs are -1 for OF-ItW and OF-Syn, since these datasets have no consistent camera views or subjects across videos.
-
-**Note on OF-Syn labels:** The `labels/of-syn.csv` file contains 19 columns: the 7 core fields above plus 12 demographic and scene metadata fields (age_group, gender_presentation, monk_skin_tone, race_ethnicity_omb, bmi_band, height_band, environment_category, camera_shot, speed, camera_elevation, camera_azimuth, camera_distance). These additional fields are only available when loading OF-Syn configs.
-
-### Split Format
-
-Split files in the `splits/` directory list the video segments included in each partition. You can use the split paths to filter the label data.:
-
-```
-path
-path/to/clip
-```
-
-## Evaluation Protocols
-
-All configurations are loaded via `load_dataset("simplexsigil2/omnifall", "<config_name>")`.
-
-### Labels (no train/val/test splits)
-- `labels` (default): All staged + OOPS labels (52k segments, 7 columns)
-- `labels-syn`: OF-Syn labels with demographic metadata (19k segments, 19 columns)
-- `metadata-syn`: OF-Syn video-level metadata (12k videos)
-- `framewise-syn`: OF-Syn frame-wise labels (81 labels per video, from parquet)
-
-### OF-Staged Configs
-- `of-sta-cs`: 8 staged datasets, cross-subject splits
-- `of-sta-cv`: 8 staged datasets, cross-view splits
-
-### OF-ItW Config
-- `of-itw`: OOPS-Fall in-the-wild genuine accidents
-
-Video loading requires the `omnifall` companion package. See examples below.
-
-### OF-Syn Configs
-- `of-syn`: Fixed randomized 80/10/10 split
-- `of-syn-cross-age`: Cross-age split (train: adults, test: children/elderly)
-- `of-syn-cross-ethnicity`: Cross-ethnicity split
-- `of-syn-cross-bmi`: Cross-BMI split (train: normal/underweight, test: obese)
-
-Video loading for OF-Syn configs requires the `omnifall` companion package.
-
-### Cross-Domain Evaluation
-- `of-sta-itw-cs`: Train/val on staged CS, test on OOPS
-- `of-sta-itw-cv`: Train/val on staged CV, test on OOPS
-- `of-syn-itw`: Train/val on OF-Syn random, test on OOPS
-
-### Aggregate Configs (staged + OOPS combined)
-- `cs`: Cross-subject splits for all staged + OOPS
-- `cv`: Cross-view splits for all staged + OOPS
-
-### Individual Dataset Configs
-- `caucafall`, `cmdfall`, `edf`, `gmdcsa24`, `le2i`, `mcfd`, `occu`, `up_fall`: Individual datasets with cross-subject splits
-
-### Deprecated Config Names
-
-The following old config names still work but emit a deprecation warning:
-
-| Old Name | Use Instead |
-|---|---|
-| `cs-staged` | `of-sta-cs` |
-| `cv-staged` | `of-sta-cv` |
-| `cs-staged-wild` | `of-sta-itw-cs` |
-| `cv-staged-wild` | `of-sta-itw-cv` |
-| `OOPS` | `of-itw` |
-
-## Examples
-
-For a complete interactive walkthrough of all configs, video loading, and label visualization, see the [example notebook](omnifall_dataset_examples.ipynb).
+### Labels only (no video files needed)
 
 ```python
 from datasets import load_dataset
 
-# Load the three main components
-staged = load_dataset("simplexsigil2/omnifall", "of-sta-cs")   # 8 staged datasets
-itw    = load_dataset("simplexsigil2/omnifall", "of-itw")      # OOPS in-the-wild
-syn    = load_dataset("simplexsigil2/omnifall", "of-syn")      # OF-Syn synthetic
-
-# Each returns train/validation/test splits with labels already merged
-print(f"Staged train: {len(staged['train'])} segments")
-print(f"ItW test: {len(itw['test'])} segments")
-print(f"Syn train: {len(syn['train'])} segments")
-
-# Synthetic data includes demographic metadata (19 columns)
-example = syn['train'][0]
-print(f"Path: {example['path']}, Label: {example['label']}")
-print(f"Age: {example['age_group']}, Ethnicity: {example['race_ethnicity_omb']}")
+# 8 staged datasets, cross-subject split
+ds = load_dataset("simplexsigil2/omnifall", "of-sta-cs")
+print(ds["train"][0])  # {'path': ..., 'label': 1, 'start': 0.0, 'end': 2.5, ...}
 
-# Cross-domain: train on staged, test on wild
-cross = load_dataset("simplexsigil2/omnifall", "of-sta-itw-cs")
-print(f"Train on staged: {len(cross['train'])} segments")
-print(f"Test on wild: {len(cross['test'])} segments")
+# Cross-domain: train on staged, test on all (staged + itw + syn)
+ds = load_dataset("simplexsigil2/omnifall", "of-sta-to-all-cs")
 
-# All labels without splits (for custom splitting)
-labels = load_dataset("simplexsigil2/omnifall", "labels")["train"]
-syn_labels = load_dataset("simplexsigil2/omnifall", "labels-syn")["train"]
+# Synthetic data with demographic metadata (19 columns)
+ds = load_dataset("simplexsigil2/omnifall", "of-syn")
 ```
 
-### Loading Videos
-
-Video loading requires the `omnifall` companion package (`pip install omnifall`), which handles video download, caching, and path resolution.
+### With video loading (`pip install omnifall`)
 
 ```python
 import omnifall
 
-# OF-Syn: videos are auto-downloaded from HF Hub (~9.1GB, cached)
+# OF-Syn videos auto-download from HF Hub (~9.1GB, cached)
 ds = omnifall.load("of-syn", video=True)
 
-# OF-ItW: requires one-time OOPS video preparation (~45GB stream, ~2.6GB on disk)
-omnifall.prepare_oops()  # interactive license consent
+# OF-ItW requires one-time OOPS video preparation
+omnifall.prepare_oops()  # streams ~45GB, extracts ~2.6GB
 ds = omnifall.load("of-itw", video=True)
 
-# Cross-domain: syn videos for train/val, OOPS for test
-ds = omnifall.load("of-syn-itw", video=True)
-
 # The video column contains absolute file paths (strings)
-print(ds["train"][0]["video"])  # /home/user/.cache/omnifall/of-syn-videos/fall/fall_to_001.mp4
-```
-
-The `video` column contains string paths rather than decoded video frames, since temporal segmentation tasks require frame-level control via PyAV or decord.
-
-You can also add video paths to an already-loaded dataset:
-
-```python
-from datasets import load_dataset
-ds = load_dataset("simplexsigil2/omnifall", "of-syn")
-ds = omnifall.add_video(ds, config="of-syn")
-```
-
-OOPS videos can also be prepared via CLI or the standalone script:
-
-```bash
-# Via omnifall CLI
-omnifall prepare-oops
-
-# Via standalone script (alternative)
-python prepare_oops_videos.py --output_dir /path/to/oops_prepared
+print(ds["train"][0]["video"])
 ```
 
-The preparation streams the full OOPS archive from the original source and extracts only the 818 videos used in OF-ItW. The archive is streamed and never written to disk, so only ~2.6GB of disk space is needed. If you already have the OOPS archive downloaded locally, pass it with `--oops-archive /path/to/video_and_anns.tar.gz`.
-
-## Label definitions
-
-In this section we provide additional information about the labelling process to provide as much transparency as possible.
-
-The benchmark uses a sixteen-class taxonomy. Staged datasets use classes 0-9, while OOPS-Fall uses the full range 0-15.
-
-### Core Classes (0-9, all datasets)
-
-- **`0|walk`** - Move around, including jogging and running and "drunk walking", but only if it is not part of some special exercise like pulling your knees up. Not when pushing a large object like a chair, but included carrying something small like an apple.
-- **`1|fall`** - The act of falling (from any previous state). Includes falling on a bed, if the process is not a controlled lying down with arms as support.
-- **`2|fallen`** - Being on the ground or a mattress after a fall.
-- **`3|sit_down`** - Sitting down on bed or chair or ground.
-- **`4|sitting`** - Sitting on bed or chair or ground.
-- **`5|lie_down`** - Lying down intentionally (in contrast to a fall) on ground or bed.
-- **`6|lying`** - Being in a lying position (in bed or on the ground) after intentionally getting into that position.
-- **`7|stand_up`** - Standing up from a fallen state, from lying or sitting. Includes getting from lying position into sitting position.
-- **`8|standing`** - Standing around without walking.
-- **`9|other`** - Any other activity, including e.g. walking while pushing an object like a chair.
-
-### Extended Classes (10-15, OF-ItW and OF-Syn)
+Video paths can also be added to an already-loaded dataset via `omnifall.add_video(ds, config="of-syn")`. OOPS preparation is also available via CLI: `omnifall prepare-oops`.
 
-These classes capture additional activities observed in genuine accident and synthetic videos. They are infrequent and do not occur in staged datasets.
+## Overview
 
-- **`10|kneel_down`** - Transitioning from standing or another posture to a kneeling position.
-- **`11|kneeling`** - Being in a kneeling position (static posture).
-- **`12|squat_down`** - Transitioning to a squatting position.
-- **`13|squatting`** - Being in a squatting position (static posture).
-- **`14|crawl`** - Crawling on hands and knees or similar locomotion on the ground.
-- **`15|jump`** - Jumping action, including vertical jumps and jumps from elevated positions.
+| | Videos | Segments (SV) | Duration (SV) |
+|---|---|---|---|
+| **OF-Staged** (8 datasets) | 2,164 | 9,590 | 13.81h |
+| **OF-ItW** (OOPS) | 818 | 4,022 | 2.65h |
+| **OF-Syn** | 12,000 | 19,228 | 16.88h |
+| **Total** | **14,982** | **32,840** | **33.34h** |
 
-## Motion Types
+| Dataset | Type | Videos | Segments (SV) | Duration (SV) | Avg Seg (s) |
+|---|---|---|---|---|---|
+| [CMDFall](https://www.mica.edu.vn/perso/Tran-Thi-Thanh-Hai/CMDFALL.html) | multi (7 views) | 384 | 6,026 | 7.12h | 4.25 |
+| [UP-Fall](https://sites.google.com/up.edu.mx/har-up/) | multi (2 views) | 1,118 | 1,213 | 4.59h | 13.63 |
+| [Le2i](https://search-data.ubfc.fr/imvia/FR-13002091000019-2024-04-09_Fall-Detection-Dataset.html) | single | 190 | 967 | 0.79h | 2.95 |
+| [GMDCSA24](https://github.com/ekramalam/GMDCSA24-A-Dataset-for-Human-Fall-Detection-in-Videos) | single | 160 | 458 | 0.36h | 2.80 |
+| [CAUCAFall](https://data.mendeley.com/datasets/7w7fccy7ky/4) | single | 100 | 258 | 0.28h | 3.85 |
+| [EDF](https://doi.org/10.5281/zenodo.15494102) | multi (2 views) | 10 | 254 | 0.22h | 3.14 |
+| [OCCU](https://doi.org/10.5281/zenodo.15494102) | multi (2 views) | 10 | 245 | 0.25h | 3.54 |
+| [MCFD](https://www.iro.umontreal.ca/~labimage/Dataset/) | multi (8 views) | 192 | 169 | 0.20h | 4.26 |
+| [OOPS-Fall](https://oops.cs.columbia.edu/data/) | single | 818 | 4,022 | 2.65h | 2.38 |
+| OF-Syn | single | 12,000 | 19,228 | 16.88h | 3.16 |
 
-There are two types of motions, **dynamic** ones like `walk` or `stand_up` and **static** ones like `fallen`, `sitting`, `lying`.
+SV = single-view (one count per unique camera perspective). Multi-view datasets have additional synchronized views; see [statistics.md](statistics.md) for full multi-view counts and class distributions.
 
-**Generally we annotate dynamic motions as soon as the first frame appears which belongs to that action**.
+## Configs
 
-Let's say we see a person `walk`, then `fall`. The first frame which indicates a motion which does seem to be different to `walk` is the start of `fall`. Sometimes it is necessary to have a look at a person walking to learn when the motion begins to change to something else.
+Over 70 configurations are available. Each returns train/validation/test splits.
 
-**For static motions the label begins with the first frame where the person comes to a resting state.** For `sit_down`, the label ends when the person reaches a state where it is no longer adjusting its body position but comes to a rest. `fall` ends when the person is no longer moving caused by the inertia of the fall. The following `fallen` might contain movement on the ground, but no movement which belongs to `fall` or `stand_up`.
+| Category | Examples | Description |
+|---|---|---|
+| **Same-domain** | `of-sta-cs`, `of-sta-cv`, `of-itw`, `of-syn` | Train and test from the same source |
+| **Cross-domain (to-all)** | `of-sta-to-all-cs`, `of-syn-to-all-cs` | Train on one source, test on all (staged + ItW + Syn) |
+| **Individual to-all** | `cmdfall-to-all-cs`, `edf-to-all-cv` | Train on single dataset, test on all |
+| **OF-Syn demographic** | `of-syn-cross-age`, `of-syn-cross-bmi` | Cross-demographic generalization splits |
+| **Aggregate** | `cs`, `cv` | All staged + OOPS combined |
+| **Individual** | `cmdfall-cs`, `le2i-cv` | Single staged dataset |
+| **Labels/metadata** | `labels`, `labels-syn`, `framewise-syn` | Raw annotations without splits |
 
-## Label Sequences
-
-There are some natural sequences of labels like `fall`, `fallen` and `stand_up`. However, it is not always the case that these appear together. Sometimes the person might directly stand up again without any time at rest on the ground, in this case there is no `fallen` segment. Likewise sometimes there is no sitting segment after sitting down (e.g. if the person immediately stands up again).
-
-Lying down can be on a bed or on the ground, it is intentional in contrast to `fall`. There are falls which follow `sit_down` or `lie_down` if it is from a chair or from a bed.
-
-When a person is lying in a bed and getting up to sit in the bed we label this as `stand_up`, even if the person is still sitting in the bed. A sequence could then be `lying`, `stand_up`, `sitting`, `stand_up` to describe a person which first lies down, then gets into a sitting position, waits a little, then gets fully up.
-
-Sometimes it is not perfectly clear if it is `sit_down` followed by `lie_down` or simply `lie_down`. This depends on there being a moment of rest or not. If the person spends a short amount of time in the sitting position it is the former, if the person directly goes from `standing` over `sit_down` to `lie_down` without rest it is only labeled `lie_down`. Similar thoughts apply to `stand_up`.
-
-In the video at the bottom of this page we show how we leveraged VGG VIA to perform the annotations. Note, that we pre-load the original dataset labels as visual aid, but relabel the whole video with our label definitions. In the video below, CMDFall is shown, which already provides relatively detailed labels, the original labels of other datasets are more sparse. Additionally, even CMDFall does not label all frames, but only specific segments, while our labels cover mostly every frame.
-
-The blurred out regions were added by us in post-processing to protect the subjects privacy on this page, they are not part of the original videos.
+See [CONFIGS.md](CONFIGS.md) for the complete configuration reference including deprecated names.
 
 ## Citation
 
-If you use OmniFall in your research, please cite our paper (will be updated soon) as well as all sub-dataset papers:
+If you use OmniFall in your research, please cite our paper as well as the sub-dataset papers:
 
 ```bibtex
 @misc{omnifall,
-      title={OmniFall: From Staged Through Synthetic to Wild, A Unified Multi-Domain Dataset for Robust Fall Detection}, 
+      title={OmniFall: From Staged Through Synthetic to Wild, A Unified Multi-Domain Dataset for Robust Fall Detection},
       author={David Schneider and Zdravko Marinov and Rafael Baur and Zeyun Zhong and Rodi Düger and Rainer Stiefelhagen},
       year={2025},
       eprint={2505.19889},
       archivePrefix={arXiv},
       primaryClass={cs.CV},
-      url={https://arxiv.org/abs/2505.19889}, 
+      url={https://arxiv.org/abs/2505.19889},
 },
 
 @inproceedings{omnifall_cmdfall,
@@ -2514,16 +4517,16 @@ If you use OmniFall in your research, please cite our paper (will be updated soo
 
 ## License
 
-The annotations and split definitions in this repository are released under [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0/).
-
-The original video data belongs to their respective owners and should be obtained from the original sources.
+The annotations and split definitions are released under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). The original video data belongs to their respective owners and should be obtained from the original sources.
 
 ## Contact
 
 For questions about the dataset, please contact [david.schneider@kit.edu].
 
+## Documentation
 
-## How we used VGG VIA to densely annotate videos for Omnifall
-We provide this video to shortly demonstrate how the annotation process was conducted, increasing transparency. Note, that the CMDFall dataset already provides realtively detailed labels, this is not the case for many of the other datasets.
-
-<video src="https://huggingface.co/datasets/simplexsigil2/omnifall/resolve/main/annotation_remarks.webm" controls />
+- [statistics.md](statistics.md) - Full dataset statistics and class distributions
+- [CONFIGS.md](CONFIGS.md) - Complete configuration reference and deprecated names
+- [STRUCTURE.md](STRUCTURE.md) - Repository structure and data formats
+- [LABELS.md](LABELS.md) - Label definitions and annotation guidelines
+- [omnifall_dataset_examples.ipynb](omnifall_dataset_examples.ipynb) - Interactive examples with video loading and visualization

STRUCTURE.md

@@ -0,0 +1,73 @@
+# OmniFall Repository Structure
+
+## Directory Layout
+
+```
+parquet/                     Pre-built parquet files for all configs (used by load_dataset)
+labels/                      CSV files containing temporal segment annotations
+  caucafall.csv ... up_fall.csv   Staged dataset labels (7 columns)
+  OOPS.csv                        OF-ItW labels (7 columns)
+  of-syn.csv                      OF-Syn labels (19 columns: 7 core + 12 demographic)
+splits/
+  cs/                        Cross-subject splits (staged + OOPS)
+  cv/                        Cross-view splits (staged + OOPS)
+  syn/                       Synthetic splits (random, cross_age, cross_ethnicity, cross_bmi)
+videos/metadata.csv          OF-Syn video-level metadata (12,000 videos)
+data_files/
+  omnifall-synthetic_av1.tar      OF-Syn video archive (12,000 AV1-encoded MP4s)
+  syn_frame_wise_labels.tar.zst   OF-Syn frame-wise HDF5 labels
+  oops_video_mapping.csv          Mapping from OOPS original filenames to OF-ItW names
+prepare_oops_videos.py       Script to extract OOPS videos for OF-ItW
+generate_parquet.py          Script to regenerate parquet files from labels + splits
+```
+
+## Label Format
+
+Each label file in `labels/` contains temporal segment annotations:
+
+```csv
+path,label,start,end,subject,cam,dataset
+path/to/clip,class_id,start_time,end_time,subject_id,camera_id,dataset_name
+```
+
+| Column | Type | Description |
+|---|---|---|
+| `path` | string | Relative path to the video (dataset-specific root) |
+| `label` | int | Class ID (0-15), see [LABELS.md](LABELS.md) |
+| `start` | float | Segment start time in seconds |
+| `end` | float | Segment end time in seconds |
+| `subject` | int | Subject ID (-1 for OF-ItW and OF-Syn) |
+| `cam` | int | Camera view ID (-1 for OF-ItW and OF-Syn) |
+| `dataset` | string | Source dataset name |
+
+### OF-Syn Extended Labels
+
+`labels/of-syn.csv` contains 12 additional demographic and scene metadata columns:
+
+| Column | Values |
+|---|---|
+| `age_group` | toddlers_1_4, children_5_12, teenagers_13_17, young_adults_18_34, middle_aged_35_64, elderly_65_plus |
+| `gender_presentation` | male, female |
+| `monk_skin_tone` | mst1 through mst10 |
+| `race_ethnicity_omb` | white, black, asian, hispanic_latino, aian, nhpi, mena |
+| `bmi_band` | underweight, normal, overweight, obese |
+| `height_band` | short, avg, tall |
+| `environment_category` | indoor, outdoor |
+| `camera_shot` | static_wide, static_medium_wide |
+| `speed` | 24fps_rt, 25fps_rt, 30fps_rt, std_rt |
+| `camera_elevation` | eye, low, high, top |
+| `camera_azimuth` | front, rear, left, right |
+| `camera_distance` | medium, far |
+
+These fields are available in OF-Syn configs (`of-syn`, `of-syn-cross-*`, `labels-syn`, `metadata-syn`, `framewise-syn`). Cross-domain configs that mix sources use only the 7 core columns.
+
+## Split Format
+
+Split files in `splits/` list video paths included in each partition:
+
+```csv
+path
+path/to/clip
+```
+
+Each video path maps to one or more temporal segments in the corresponding label file. The parquet configs contain the pre-merged result of joining split paths with labels.

generate_parquet.py

@@ -57,9 +57,27 @@ METADATA_COLUMNS = ["path", "dataset"] + DEMOGRAPHIC_COLUMNS
 DEPRECATED_ALIASES = {
     "cs-staged": "of-sta-cs",
     "cv-staged": "of-sta-cv",
-    "cs-staged-wild": "of-sta-itw-cs",
-    "cv-staged-wild": "of-sta-itw-cv",
     "OOPS": "of-itw",
+    # Old unsuffixed individual dataset names (were CS-only)
+    "caucafall": "caucafall-cs",
+    "cmdfall": "cmdfall-cs",
+    "edf": "edf-cs",
+    "gmdcsa24": "gmdcsa24-cs",
+    "le2i": "le2i-cs",
+    "mcfd": "mcfd-cs",
+    "occu": "occu-cs",
+    "up_fall": "up_fall-cs",
+    # Old cross-domain "-to-itw" names (now subsumed by "-to-all")
+    "of-sta-to-itw-cs": "of-sta-to-all-cs",
+    "of-sta-to-itw-cv": "of-sta-to-all-cv",
+    "of-syn-to-itw": "of-syn-to-all-cs",
+    "of-sta-syn-to-itw-cs": "of-sta-syn-to-all-cs",
+    "of-sta-syn-to-itw-cv": "of-sta-syn-to-all-cv",
+    "of-sta-itw-cs": "of-sta-to-all-cs",
+    "of-sta-itw-cv": "of-sta-to-all-cv",
+    "of-syn-itw": "of-syn-to-all-cs",
+    "cs-staged-wild": "of-sta-to-all-cs",
+    "cv-staged-wild": "of-sta-to-all-cv",
 }
 
 
@@ -296,6 +314,107 @@ def gen_crossdomain(config_name, train_split_type, train_source, test_split_type
     return {config_name: results}
 
 
+def gen_crossdomain_staged_syn(config_name, staged_split_type, syn_split_type,
+                                test_split_type):
+    """Config: train/val from staged + syn combined, test from OOPS."""
+    staged_labels = load_staged_labels()
+    syn_labels = load_syn_labels()
+    itw_labels = load_itw_labels()
+
+    results = {}
+
+    for split_name, csv_name in [("train", "train"), ("validation", "val")]:
+        # Staged part
+        sta_sf = staged_split_files(staged_split_type, csv_name)
+        sta_merged = merge_split_labels(sta_sf, staged_labels)
+        sta_df = select_and_cast(sta_merged, CORE_COLUMNS, "core")
+
+        # Syn part
+        syn_sf = [f"splits/syn/{syn_split_type}/{csv_name}.csv"]
+        syn_merged = merge_split_labels(syn_sf, syn_labels)
+        syn_df = select_and_cast(syn_merged, CORE_COLUMNS, "core")
+
+        df = pd.concat([sta_df, syn_df], ignore_index=True)
+        write_parquet(df, config_name, split_name)
+        results[split_name] = len(df)
+
+    # Test from OOPS
+    sf = [f"splits/{test_split_type}/OOPS/test.csv"]
+    merged = merge_split_labels(sf, itw_labels)
+    df = select_and_cast(merged, CORE_COLUMNS, "core")
+    write_parquet(df, config_name, "test")
+    results["test"] = len(df)
+
+    return {config_name: results}
+
+
+def gen_to_all(config_name, staged_split_type, train_source, ds_name=None):
+    """Config: train/val from specified source, test from ALL datasets.
+
+    Test set is always: staged test (cs or cv) + itw test + syn random test.
+    Train/val come from the specified source:
+      - "individual": single staged dataset (needs ds_name)
+      - "staged": all 8 staged datasets
+      - "syn": synthetic random split
+      - "staged+syn": staged + synthetic combined
+    """
+    staged_labels = load_staged_labels()
+    itw_labels = load_itw_labels()
+    syn_labels = load_syn_labels()
+
+    results = {}
+
+    # --- Train/val from source ---
+    for split_name, csv_name in [("train", "train"), ("validation", "val")]:
+        if train_source == "individual":
+            sf = [f"splits/{staged_split_type}/{ds_name}/{csv_name}.csv"]
+            merged = merge_split_labels(sf, load_csv(STAGED_LABEL_FILES[ds_name]))
+            df = select_and_cast(merged, CORE_COLUMNS, "core")
+        elif train_source == "staged":
+            sf = staged_split_files(staged_split_type, csv_name)
+            merged = merge_split_labels(sf, staged_labels)
+            df = select_and_cast(merged, CORE_COLUMNS, "core")
+        elif train_source == "syn":
+            sf = [f"splits/syn/random/{csv_name}.csv"]
+            merged = merge_split_labels(sf, syn_labels)
+            df = select_and_cast(merged, CORE_COLUMNS, "core")
+        elif train_source == "staged+syn":
+            sta_sf = staged_split_files(staged_split_type, csv_name)
+            sta_merged = merge_split_labels(sta_sf, staged_labels)
+            sta_df = select_and_cast(sta_merged, CORE_COLUMNS, "core")
+            syn_sf = [f"splits/syn/random/{csv_name}.csv"]
+            syn_merged = merge_split_labels(syn_sf, syn_labels)
+            syn_df = select_and_cast(syn_merged, CORE_COLUMNS, "core")
+            df = pd.concat([sta_df, syn_df], ignore_index=True)
+        else:
+            raise ValueError(f"Unknown train_source: {train_source}")
+
+        write_parquet(df, config_name, split_name)
+        results[split_name] = len(df)
+
+    # --- Test from ALL datasets ---
+    # Staged test (cs or cv)
+    sta_sf = staged_split_files(staged_split_type, "test")
+    sta_merged = merge_split_labels(sta_sf, staged_labels)
+    sta_test = select_and_cast(sta_merged, CORE_COLUMNS, "core")
+
+    # ItW test (OOPS, always uses same split file under cs/ dir)
+    itw_sf = [f"splits/{staged_split_type}/OOPS/test.csv"]
+    itw_merged = merge_split_labels(itw_sf, itw_labels)
+    itw_test = select_and_cast(itw_merged, CORE_COLUMNS, "core")
+
+    # Syn test (always random split)
+    syn_sf = ["splits/syn/random/test.csv"]
+    syn_merged = merge_split_labels(syn_sf, syn_labels)
+    syn_test = select_and_cast(syn_merged, CORE_COLUMNS, "core")
+
+    test_df = pd.concat([sta_test, itw_test, syn_test], ignore_index=True)
+    write_parquet(test_df, config_name, "test")
+    results["test"] = len(test_df)
+
+    return {config_name: results}
+
+
 def gen_aggregate(split_type):
     """Config: cs / cv - all staged + OOPS combined."""
     config_name = split_type
@@ -312,17 +431,18 @@ def gen_aggregate(split_type):
     return {config_name: results}
 
 
-def gen_individual(ds_name):
-    """Config: individual dataset with CS splits."""
+def gen_individual(ds_name, split_type):
+    """Config: individual dataset with explicit split type (cs or cv)."""
+    config_name = f"{ds_name}-{split_type}"
     labels = load_csv(STAGED_LABEL_FILES[ds_name])
     results = {}
     for split_name, csv_name in [("train", "train"), ("validation", "val"), ("test", "test")]:
-        sf = [f"splits/cs/{ds_name}/{csv_name}.csv"]
+        sf = [f"splits/{split_type}/{ds_name}/{csv_name}.csv"]
         merged = merge_split_labels(sf, labels)
         df = select_and_cast(merged, CORE_COLUMNS, "core")
-        write_parquet(df, ds_name, split_name)
+        write_parquet(df, config_name, split_name)
         results[split_name] = len(df)
-    return {ds_name: results}
+    return {config_name: results}
 
 
 def gen_framewise_syn():
@@ -443,15 +563,41 @@ def main():
             for split, count in splits.items():
                 print(f"  {config}/{split}: {count} rows")
 
-    # Cross-domain configs
-    print("\n--- Cross-domain configs ---")
-    crossdomain_configs = [
-        ("of-sta-itw-cs", "cs", "staged", "cs", "itw"),
-        ("of-sta-itw-cv", "cv", "staged", "cv", "itw"),
-        ("of-syn-itw", "random", "syn", "cs", "itw"),
-    ]
-    for config_name, train_st, train_src, test_st, test_src in crossdomain_configs:
-        result = gen_crossdomain(config_name, train_st, train_src, test_st, test_src)
+    # Cross-domain "to-all" configs (train/val from source, test from ALL)
+    print("\n--- Cross-domain to-all configs ---")
+
+    # Individual staged dataset to-all
+    for ds_name in STAGED_DATASETS:
+        for st in ["cs", "cv"]:
+            config_name = f"{ds_name}-to-all-{st}"
+            result = gen_to_all(config_name, st, "individual", ds_name=ds_name)
+            all_results.update(result)
+            for config, splits in result.items():
+                for split, count in splits.items():
+                    print(f"  {config}/{split}: {count} rows")
+
+    # All staged to-all
+    for st in ["cs", "cv"]:
+        config_name = f"of-sta-to-all-{st}"
+        result = gen_to_all(config_name, st, "staged")
+        all_results.update(result)
+        for config, splits in result.items():
+            for split, count in splits.items():
+                print(f"  {config}/{split}: {count} rows")
+
+    # Syn to-all
+    for st in ["cs", "cv"]:
+        config_name = f"of-syn-to-all-{st}"
+        result = gen_to_all(config_name, st, "syn")
+        all_results.update(result)
+        for config, splits in result.items():
+            for split, count in splits.items():
+                print(f"  {config}/{split}: {count} rows")
+
+    # Staged + syn to-all
+    for st in ["cs", "cv"]:
+        config_name = f"of-sta-syn-to-all-{st}"
+        result = gen_to_all(config_name, st, "staged+syn")
         all_results.update(result)
         for config, splits in result.items():
             for split, count in splits.items():
@@ -466,14 +612,15 @@ def main():
             for split, count in splits.items():
                 print(f"  {config}/{split}: {count} rows")
 
-    # Individual dataset configs
+    # Individual dataset configs (both CS and CV)
     print("\n--- Individual dataset configs ---")
     for ds_name in STAGED_DATASETS:
-        result = gen_individual(ds_name)
-        all_results.update(result)
-        for config, splits in result.items():
-            for split, count in splits.items():
-                print(f"  {config}/{split}: {count} rows")
+        for st in ["cs", "cv"]:
+            result = gen_individual(ds_name, st)
+            all_results.update(result)
+            for config, splits in result.items():
+                for split, count in splits.items():
+                    print(f"  {config}/{split}: {count} rows")
 
     # Deprecated aliases (copy parquet files)
     print("\n--- Deprecated aliases ---")

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