Update README.md

README.md

@@ -25,7 +25,7 @@ configs:
 
 ASTime, short for **Activity State Transition Timestamp**, is a video dataset for studying real-time perception of human activity changes from a robotic perspective. Instead of only providing the start and end time of an activity segment, ASTime explicitly annotates the **transition timestamp**: the moment at which a new human activity state becomes semantically distinguishable from the previous state.
 
-The released dataset contains anonymized, muted, untrimmed long videos collected in constructed home-like laboratory environments, together with JSON annotations for activity-state transition timestamp localization. The train/test split is subject-disjoint to evaluate generalization to unseen participants.
+The released dataset contains anonymized, muted, untrimmed long videos collected in constructed home-like laboratory environments, together with JSON annotations for activity-state transition timestamp localization. The train/validation/test split is subject-disjoint to evaluate generalization to unseen participants.
 
 ## 📌 Dataset Summary
 
@@ -63,11 +63,14 @@ The dataset has two main components: video files and JSON annotations.
 
 | Component | Path pattern | Description |
 |---|---|---|
-| 🎬 Training videos | `Videos/train/P001_train/*.MP4` ... `Videos/train/P014_train/*.MP4` | Untrimmed videos for the training subjects. |
+| 🎬 Training videos | `Videos/train/P001_train/*.MP4` ... `Videos/train/P013_train/*.MP4` | Untrimmed videos for the training subjects. |
+| 🎬 Validation videos | `Videos/validation/P012_validation/*.MP4`, `Videos/validation/P014_validation/*.MP4` | Untrimmed videos for the validation subjects. |
 | 🎬 Test videos | `Videos/test/P015_test/*.MP4`, `Videos/test/P016_test/*.MP4` | Untrimmed videos for the held-out test subjects. |
 | 🏷️ Training labels | `Annotations/ASTime_Annotations_train/annotation_train_labels/*.json` | Standard activity-state transition labels for training videos. |
+| 🏷️ Validation labels | `Annotations/ASTime_Annotations_validation/annotation_validation_labels/*.json` | Standard activity-state transition labels for validation videos. |
 | 🏷️ Test labels | `Annotations/ASTime_Annotations_test/annotation_test_label/*.json` | Standard activity-state transition labels for test videos. |
 | 💬 Training captions | `Annotations/ASTime_Annotations_train/annotation_train_captioned/*.json` | Auxiliary natural-language captioned annotations for training videos. |
+| 💬 Validation captions | `Annotations/ASTime_Annotations_validation/annotation_validation_captioned/*.json` | Auxiliary natural-language captioned annotations for validation videos. |
 
 The `data/` directory contains a normalized Parquet representation of the training caption annotations for Hugging Face Dataset Viewer visualization. The original videos and JSON annotation files remain the canonical source files under `Videos/` and `Annotations/`, respectively.
 
@@ -75,12 +78,12 @@ Naming follows the same anonymized subject/video ID convention across videos and
 
 | Item | Example |
 |---|---|
-| Subject folder | `P001_train`, `P015_test` |
+| Subject folder | `P001_train`, `P012_validation`, `P015_test` |
 | Video file | `P001_train_1-1.MP4` |
 | Standard label file | `P001_train_1-1.json` |
 | Video ID / JSON key | `P001_train_1-1` |
 
-The subject IDs are anonymized as `P001` through `P016`. The training split contains `P001` to `P014`, and the testing split contains `P015` and `P016`.
+The subject IDs are anonymized as `P001` through `P016`. The training split contains `P001` to `P011` and `P013`, the validation split contains `P012` and `P014`, and the testing split contains `P015` and `P016`.
 
 ## 📝 Annotation Format
 
@@ -93,6 +96,7 @@ Use the shared video ID, i.e. the file stem without extension, to locate the cor
 | Video | Annotation |
 |---|---|
 | `Videos/train/P001_train/P001_train_1-1.MP4` | `Annotations/ASTime_Annotations_train/annotation_train_labels/P001_train_1-1.json` |
+| `Videos/validation/P012_validation/P012_validation_1-1.MP4` | `Annotations/ASTime_Annotations_validation/annotation_validation_labels/P012_validation_1-1.json` |
 | `Videos/test/P015_test/P015_test_1-1.MP4` | `Annotations/ASTime_Annotations_test/annotation_test_label/P015_test_1-1.json` |
 
 ### Standard Label Example
@@ -116,7 +120,7 @@ Standard label files use compact activity-state labels in the `text` field:
 
 ### Captioned Annotation Example
 
-The training split also includes an auxiliary captioned version in `annotation_train_captioned/`. In these files, `t1_caption` describes the previous state and `text` describes the target state in natural language:
+The training and validation splits also provide auxiliary captioned annotations in `annotation_train_captioned/` and `annotation_validation_captioned/`. In these files, `t1_caption` describes the previous state and `text` describes the target state in natural language:
 
 ```json
 {
@@ -137,19 +141,24 @@ Field definitions:
 
 | Field | Type | Description |
 |---|---|---|
-| `t1_caption` | string | Previous-state natural-language caption when available. This field is empty in the standard label annotations and populated in the auxiliary training caption files. |
+| `t1_caption` | string | Previous-state natural-language caption when available. This field is empty in the standard label annotations and populated in the auxiliary training and validation caption files. |
 | `start_time` | float | Start time, in seconds, of the temporal window associated with the transition event. |
 | `timestamp` | float | Activity-state transition timestamp, in seconds. This is the target timestamp to localize. |
 | `end_time` | float | End time, in seconds, of the temporal window associated with the transition event. |
 | `text` | string | Target activity-state label or natural-language target-state caption, depending on the annotation directory. |
-| `flag` | integer | Auxiliary annotation flag retained from the annotation process. In the current release, 3,413 events have `flag = 0` and 56 events have `flag = 1`. |
+| `flag` | integer | Auxiliary annotation flag retained from the annotation process. In the current release, 3,408 events have `flag = 0` and 56 events have `flag = 1`. |
 
 For the main activity-state transition timestamp task, use:
 
 - Training labels: `Annotations/ASTime_Annotations_train/annotation_train_labels/`
+- Validation labels: `Annotations/ASTime_Annotations_validation/annotation_validation_labels/`
 - Test labels: `Annotations/ASTime_Annotations_test/annotation_test_label/`
 
-The directory `Annotations/ASTime_Annotations_train/annotation_train_captioned/` provides an auxiliary natural-language captioned version of the training annotations. In those files, `text` is a natural-language target-state caption and `t1_caption` describes the previous state.
+For the auxiliary natural-language captioned representation, use:
+
+- Training captions: `Annotations/ASTime_Annotations_train/annotation_train_captioned/`
+- Validation captions: `Annotations/ASTime_Annotations_validation/annotation_validation_captioned/`
+
 
 All standard label annotations satisfy:
 
@@ -186,7 +195,7 @@ When facing ambiguous boundaries (e.g., the transition between reaching for a bo
 
 | Posture | Train | Test | Total |
 |---|---:|---:|---:|
-| standing | 1,341 | 223 | 1,564 |
+| standing | 1,336 | 223 | 1,559 |
 | sitting | 1,257 | 230 | 1,487 |
 | lying | 326 | 92 | 418 |