Dataset card refresh + promote CHANGELOG.md as primary release history

CHANGELOG.md

@@ -1,6 +1,15 @@
 # Changelog
 
-All notable changes to **`nvidia/PhysicalAI-VANTAGE-Bench-Subset`** on Hugging Face.
+All notable changes to **`nvidia/PhysicalAI-VANTAGE-Bench`** on Hugging Face.
+
+## 2026-05-18
+
+- Dataset card refresh based on Slack review feedback:
+  - **Tasks and Submission Formats** table: Single Object Tracking now categorized as `Spatio-Temporal`. Metric updates: `2D Object Localization → F1@0.5`, `2D Referring Expressions → mIoU`, `Single Object Tracking → AUC`. The per-task submission-format column has been removed; expected formats and the leaderboard will be published soon.
+  - **Metric Notes** refreshed: added `mIoU`, `F1@0.5`, `AUC`; dropped `mAP@IoU`, `Acc@IoU`, `HOTA`.
+  - **Dataset Quantification** table: `Videos` column renamed to `Media`. Per-task counts updated. Totals now report `Total Entries (Annotations): 35,027` and `Total Media Samples (across tasks, with overlaps): 3,346`.
+  - **Evaluation Server** description: clarified that the GitHub repo is a sample evaluation pipeline. Predictions are submitted to the official leaderboard, live by end of May 2026.
+  - **Task overview figure** in References now renders full-width via inline HTML `<img width="100%">`.
 
 ## 2026-05-15
 
@@ -18,11 +27,13 @@ All notable changes to **`nvidia/PhysicalAI-VANTAGE-Bench-Subset`** on Hugging F
   per-task prompts.
 
 ## 2026-05-09
+
 - **`data/` restructured.** Top-level task directories renamed:
   `dense_captioning/`, `event_verification/`, `pointing/`,
   `referring/`, `temporal_localization/`, `vqa/`. The legacy
   `Spatial/` directory was dropped.
 
 ## 2026-05-04
-- **Initial release**: 4 GB sample uploaded to
-  `nvidia/PhysicalAI-VANTAGE-Bench-Subset` under `data/` (PR #1).
+
+- **Initial release**: full release uploaded to
+  `nvidia/PhysicalAI-VANTAGE-Bench` under `data/` (PR #2).

README.md

@@ -57,16 +57,18 @@ VANTAGE-BENCH/
 
 ### Tasks and Submission Formats
 
-| Category | Task | Expected Submission Format | Metric |
-|----------|------|---------------------------|--------|
-| Semantic | VQA | JSON (question-answer pairs) | Accuracy |
-| Semantic | Event Verification | Binary labels per video/image (JSON) | F1 Score |
-| Temporal | Dense Video Captioning | Timestamped captions (JSON) | SODA-c |
-| Temporal | Temporal Localization | Temporal segments with event labels (JSON) | mAP@tIoU |
-| Spatial | 2D Object Localization | KITTI format | mAP@IoU |
-| Spatial | 2D Referring Expressions | Bounding box predictions (JSON) | Acc@IoU |
-| Spatial | 2D Spatial Pointing | Point coordinates (JSON) | Pointing Accuracy |
-| Spatial | Spatio-Temporal Tracking | MOT-compatible format | HOTA |
+| Category | Task | Metric |
+|----------|------|--------|
+| Semantic | VQA | Accuracy |
+| Semantic | Event Verification | F1 Score |
+| Temporal | Dense Video Captioning | SODA-c |
+| Temporal | Temporal Localization | mAP@tIoU |
+| Spatial | 2D Object Localization | F1@0.5 |
+| Spatial | 2D Referring Expressions | mIoU |
+| Spatial | 2D Spatial Pointing | Pointing Accuracy |
+| Spatio-Temporal | Single Object Tracking | AUC |
+
+Expected submission formats and the leaderboard will be published soon.
 
 ### Metric Notes
 
@@ -74,16 +76,14 @@ VANTAGE-BENCH/
 - **SODA-c**: Metric for dense video captioning quality across event coverage and language quality.
 - **mAP@tIoU**: Mean Average Precision measured over temporal IoU thresholds.
 - **F1 Score**: Harmonic mean of precision and recall.
-- **mAP@IoU**: Mean Average Precision measured over spatial IoU thresholds.
-- **Acc@IoU**: Correct grounding if predicted box overlaps target above IoU threshold.
+- **F1@0.5**: F1 score at an IoU threshold of 0.5.
+- **mIoU**: Mean Intersection over Union — average overlap between predicted and ground-truth bounding boxes.
 - **Pointing Accuracy**: Percentage of correctly selected target regions.
-- **HOTA**: Higher Order Tracking Accuracy, combining detection and association quality.
+- **AUC**: Area under the ROC curve, measuring the model's ability to distinguish correct detections or tracks from incorrect ones across varying confidence thresholds.
 
 ### Evaluation Server
 
-Predictions are submitted to the evaluation server hosted on HuggingFace. The server computes metrics against held-out annotations and updates the public leaderboard.
-
-Evaluation server: [VANTAGE-Bench](https://github.com/anon-benchmark/VANTAGE-bench)
+The [VANTAGE-Bench GitHub repository](https://github.com/anon-benchmark/VANTAGE-bench) provides a sample evaluation pipeline for generating model predictions. Predictions are submitted to the official leaderboard, which will go live by the end of May 2026.
 
 ## Dataset Format
 
@@ -91,19 +91,19 @@ Video (mp4) and Images (jpg).
 
 ## Dataset Quantification
 
-| Category | Task | Videos | Entries |
-|----------|------|--------|---------|
-| Semantic | VQA | 296 | 1,257 |
-| Semantic | Event Verification | 163 | 163 |
-| Temporal | Dense Video Captioning | 104 | 717 |
-| Temporal | Temporal Localization | 221 | 1,280 |
-| Spatial | 2D Object Localization | 3 | 27,404 bounding boxes (628 frames) |
-| Spatial | 2D Referring Expressions | 1,503 images | 3,276 expressions |
-| Spatial | 2D Spatial Pointing | 1,005 | 5,018 images |
-| Spatial | Spatio-Temporal Tracking | 200 clips (8 frames/clip) | 200 objects, 1,600 frames |
-
-**Total unique videos:** 312 (309 across VQA/DVC/Temporal + 3 exclusive 2D BBox)
-**Total entries (VQA + DVC + Temporal):** 3,254
+| Category | Task | Media | Entries |
+|----------|------|-------|---------|
+| Semantic | VQA | 282 videos | 1,195 QAs (MCQ) |
+| Semantic | Event Verification | 163 videos | 163 QAs (BCQ) |
+| Temporal | Dense Video Captioning | 104 videos | 717 Events |
+| Temporal | Temporal Localization | 203 videos | 1,067 Segments / Spans |
+| Spatial | 2D Object Localization | 628 images (3 video sequences) | 27,404 Bboxes |
+| Spatial | 2D Referring Expressions | 1,503 images | 3,276 Expressions |
+| Spatial | 2D Spatial Pointing | 361 images | 1,005 QAs (MCQ) |
+| Spatio-Temporal | Single Object Tracking | 102 video clips | 200 Trajectories |
+
+**Total Entries (Annotations):** 35,027
+**Total Media Samples (across tasks, with overlaps):** 3,346
 **Total Data Storage:** 42 GB
 
 ## Potential Known Risks
@@ -140,7 +140,7 @@ Video (mp4) and Images (jpg).
 
 - HuggingFace dataset: [nvidia/PhysicalAI-VANTAGE-Bench](https://huggingface.co/datasets/nvidia/PhysicalAI-VANTAGE-Bench)
 
-![VANTAGE-BENCH task overview across Semantic, Temporal, Spatial, and Spatio-Temporal understanding categories](./assets/vantage_bench_tasks.png)
+<img src="./assets/vantage_bench_tasks.png" alt="VANTAGE-BENCH task overview across Semantic, Temporal, Spatial, and Spatio-Temporal understanding categories" width="100%">
 
 ## Ethical Considerations
 
@@ -149,4 +149,4 @@ Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns [her
 
 ## Changelog
 
-- **2026-04-14:** Initial dataset release.
+See [CHANGELOG.md](./CHANGELOG.md) for release history.