Update README.md

README.md

@@ -13,7 +13,7 @@ tags:
 
 [Project Page](https://worv-ai.github.io/d2e/) · [Paper (arXiv)](https://arxiv.org/abs/2510.05684) · [GitHub](https://github.com/worv-ai/D2E) · [OWA Toolkit Documentation](https://open-world-agents.github.io/open-world-agents/)
 
-This is the dataset for [**D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI**](https://worv-ai.github.io/d2e/). **267 hours** of synchronized video, audio, and input events from **29 PC games** across diverse genres (FPS, open-world, sandbox, and more), for training vision-action models and game agents.
+This is the dataset for [**D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI**](https://worv-ai.github.io/d2e/). **268.7 hours** of synchronized video, audio, and input events from **29 PC games** across diverse genres (FPS, open-world, sandbox, and more), for training vision-action models and game agents.
 
 **What's included:**
 
@@ -21,9 +21,9 @@ This is the dataset for [**D2E: Scaling Vision-Action Pretraining on Desktop Dat
 - **Input events**: Keyboard (press/release + key state), mouse (clicks, screen coordinates, raw HID deltas, button state), and active window info—all with nanosecond timestamps synchronized to video frames.
 - **[OWAMcap](https://open-world-agents.github.io/open-world-agents/data/getting-started/why-owamcap/) format**: Built on [MCAP](https://mcap.dev/) (widely adopted in robotics). Indexed for fast random access, crash-safe writes, and standardized message schemas that work across different datasets without custom parsing.
 
-**Recommended for:** Training game agents with vision-action trajectories, pretraining vision-action models for transfer to embodied AI (robotic manipulation, navigation), or world model / video generation training (use [D2E-Original](https://huggingface.co/datasets/open-world-agents/D2E-Original) for HD/QHD).
+**Recommended for:** Training game agents with vision-action trajectories, pretraining vision-action models for transfer to embodied AI (robotic manipulation, navigation), or world model / video generation training (use [D2E-Original](https://huggingface.co/datasets/open-world-agents/D2E-Original) for FHD/QHD).
 
-> ⚠️ **December 1, 2025**: Dataset revised due to sync issues. Re-download if you obtained data before this date.
+> ⚠️ **December 18, 2025**: Dataset revised due to some broken file issues. Re-download if you obtained data before this date.
 
 ## Visualize
 
@@ -100,40 +100,39 @@ The `.mcap` file stores lightweight [MediaRef](https://github.com/open-world-age
 
 Genres: FPS (Apex Legends, PUBG), open-world (Cyberpunk 2077, GTA V), simulation (Euro Truck Simulator 2), sandbox (Minecraft), roguelike (Brotato, Vampire Survivors), and more. 29 games released (267h) from 31 games collected (335h) after privacy filtering.
 
-| Game                   | Hours | Sessions |
-| ---------------------- | ----: | -------: |
-| Apex Legends           |  25.6 |       36 |
-| Euro Truck Simulator 2 |  19.6 |       14 |
-| Eternal Return         |  17.1 |       31 |
-| Stardew Valley         |  14.6 |       10 |
-| Cyberpunk 2077         |  14.2 |        7 |
-| MapleStory Worlds      |  14.1 |        8 |
-| Rainbow Six            |  13.7 |       11 |
-| Grand Theft Auto V     |  11.8 |       11 |
-| Slime Rancher          |  10.7 |        9 |
-| Dinkum                 |  10.4 |        9 |
-| Medieval Dynasty       |  10.3 |        3 |
-| Raft                   |  10.0 |        5 |
-| Counter-Strike 2       |   9.9 |       10 |
-| Satisfactory           |   9.8 |        4 |
-| Grounded               |   9.7 |        4 |
-| Ready Or Not           |   9.6 |       11 |
-| Barony                 |   9.3 |       10 |
-| Core Keeper            |   9.0 |        7 |
-| Minecraft              |   8.6 |        8 |
-| Monster Hunter Wilds   |   8.3 |        5 |
-| Brotato                |   6.0 |       13 |
-| PUBG                   |   4.9 |        7 |
-| Vampire Survivors      |   2.8 |        2 |
-| Battlefield 6          |   2.2 |        7 |
-| Skul                   |   2.0 |        1 |
-| PEAK                   |   1.8 |        2 |
-| OguForest              |   0.8 |        1 |
-| Super Bunny Man        |   0.7 |        2 |
-| VALORANT               |   0.3 |        1 |
-
-For HD/QHD resolution, see [D2E-Original](https://huggingface.co/datasets/open-world-agents/D2E-Original).
-
+| Game                   | Hours |
+| ---------------------- | ----: |
+| Apex Legends           | 25.6 |
+| Euro Truck Simulator 2 | 19.6 |
+| Eternal Return         | 17.1 |
+| Stardew Valley         | 14.6 |
+| Cyberpunk 2077         | 14.2 |
+| MapleStory Worlds      | 14.1 |
+| Rainbow Six            | 13.7 |
+| Grand Theft Auto V     | 12.9 |
+| Slime Rancher          | 10.7 |
+| Dinkum                 | 10.4 |
+| Medieval Dynasty       | 10.9 |
+| Raft                   | 10.8 |
+| Counter-Strike 2       | 9.9 |
+| Satisfactory           | 9.8 |
+| Grounded               | 9.7 |
+| Ready Or Not           | 9.6 |
+| Barony                 | 9.3 |
+| Core Keeper            | 8.9 |
+| Minecraft              | 8.6 |
+| Monster Hunter Wilds   | 7.9 |
+| Brotato                | 6.0 |
+| PUBG                   | 4.9 |
+| Vampire Survivors      | 2.8 |
+| Battlefield 6          | 2.2 |
+| Skul                   | 2.0 |
+| PEAK                   | 1.8 |
+| OguForest              | 0.8 |
+| Super Bunny Man        | 0.7 |
+| VALORANT               | 0.3 |
+
+For FHD/QHD resolution, see [D2E-Original](https://huggingface.co/datasets/open-world-agents/D2E-Original).
 
 ## Citation