Update dataset card with paper, project page, and code links

README.md

@@ -1,18 +1,19 @@
 ---
-license: other
 language:
 - en
+license: other
 task_categories:
 - video-classification
 - video-text-to-text
 - text-generation
+- image-to-video
+pretty_name: Incantation Elden Ring Combat Captions
 tags:
 - video-captioning
 - action-recognition
 - game-video
 - elden-ring
 - incantation
-pretty_name: Incantation Elden Ring Combat Captions
 viewer: true
 configs:
 - config_name: margit
@@ -27,6 +28,8 @@ configs:
 
 # Incantation Elden Ring Combat Captions
 
+[**Project Page**](https://matrixteam-ai.github.io/pages/Incanation/) | [**Paper**](https://huggingface.co/papers/2605.18601) | [**GitHub**](https://github.com/zhushangwen/Incantation)
+
 > **Preview subset.** This repository is an early public preview and reference subset of the **Incantation** dataset. It is provided to document the data format, annotation style, and initial training material ahead of the full paper/project release. It should not be interpreted as the final dataset, the complete benchmark, or the full data scale used by the paper.
 
 This dataset contains manually collected Elden Ring combat clips paired with structured, action-oriented metadata for player-boss interactions. The current preview release focuses on the Tarnished player character fighting Margit and Crucible Knight-style enemies.
@@ -83,8 +86,6 @@ Current contents:
 - `crucible_knight/meta_data.jsonl`: 340 rows.
 - `crucible_knight/videos/`: 340 MP4 clips referenced by the Crucible Knight metadata.
 
-These files are only a portion of the planned public data. They are representative of the annotation schema and training signal, but not exhaustive in boss coverage, action vocabulary, or world coverage.
-
 The layout is intentionally scene-centric so new bosses, worlds, caption variants, and evaluation splits can be added without changing the existing structure.
 
 ## Metadata Schema
@@ -169,15 +170,12 @@ The `video` field stores the filename. To access the actual MP4 file, join it wi
 
 The Incantation paper studies natural language as the action interface for multi-entity video world models. The broader project targets per-frame, per-entity action control in shared-camera settings such as player-boss combat and fighting games.
 
-This preview subset is associated with the Incantation project but is not the final paper dataset. The full release is expected to include additional Elden Ring bosses, The King of Fighters data, code, and checkpoints where possible.
-
-This dataset card intentionally leaves space for the final paper release:
+This preview subset is associated with the Incantation project but is not the final paper dataset. 
 
-- Paper: TBD
-- Project page: TBD
-- GitHub: TBD
-- Checkpoints: TBD
-- BibTeX: TBD
+- **Paper:** [Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models](https://huggingface.co/papers/2605.18601)
+- **Project page:** [https://matrixteam-ai.github.io/pages/Incanation/](https://matrixteam-ai.github.io/pages/Incanation/)
+- **GitHub:** [https://github.com/zhushangwen/Incantation](https://github.com/zhushangwen/Incantation)
+- **Checkpoints:** TBD
 
 ## Limitations
 
@@ -188,8 +186,17 @@ This dataset card intentionally leaves space for the final paper release:
 
 ## Citation
 
-If you use this dataset, please cite the Incantation paper once available. A BibTeX entry will be added here after public release.
+If you use this dataset, please cite the following paper:
+
+```bibtex
+@article{zhu2026incantation,
+  title={Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models},
+  author={Zhu, Shangwen and Peng, Qianyu and Pu, Zhao and Shu, Zhilei and Ke, Xiangrui and Xing, Zhaohu and Tong, Zizhao and Wang, Zeqing and Cui, Xinyu and Wang, Huangji and Zhao, Jian and Jin, Yeying and Cheng, Fan and Feng, Ruili},
+  journal={arXiv preprint arXiv:2605.18601},
+  year={2026}
+}
+```
 
 ## Legal Notice
 
-Elden Ring is a trademark of FromSoftware, Inc. and Bandai Namco Entertainment Inc. This dataset is an academic research artifact and is not affiliated with, endorsed by, or sponsored by the game developers or publishers.
+Elden Ring is a trademark of FromSoftware, Inc. and Bandai Namco Entertainment Inc. This dataset is an academic research artifact and is not affiliated with, endorsed by, or sponsored by the game developers or publishers.