Update dataset card with paper, project links, and citation

This PR improves the dataset card for LLaVA-OneVision-2-Data by:
- Adding links to the [research paper](https://huggingface.co/papers/2605.25979), official [Project Page](https://evolvinglmms-lab.github.io/LLaVA-OneVision-2/), and [GitHub repository](https://github.com/EvolvingLMMs-Lab/LLaVA-OneVision-2).
- Including the official BibTeX citation from the paper.
- Adding a sample usage section with the `huggingface-cli` download command found in the documentation.
- Updating metadata with relevant task categories including `image-text-to-text`.

README.md

@@ -1,43 +1,45 @@
 ---
+language:
+- en
 license: apache-2.0
+size_categories:
+- 10M<n<100M
 task_categories:
-  - video-text-to-text
-  - visual-question-answering
-  - image-text-to-text
-language:
-  - en
+- image-text-to-text
+- video-text-to-text
+- visual-question-answering
 tags:
-  - llava
-  - multimodal
-  - video
-  - spatial-reasoning
-size_categories:
-  - 10M<n<100M
+- llava
+- multimodal
+- video
+- spatial-reasoning
 configs:
-  - config_name: viewer_caption_30s
-    data_files:
-      - split: preview
-        path: viewer/caption_30s.parquet
-  - config_name: viewer_caption_60s
-    data_files:
-      - split: preview
-        path: viewer/caption_60s.parquet
-  - config_name: viewer_caption_180s
-    data_files:
-      - split: preview
-        path: viewer/caption_180s.parquet
-  - config_name: viewer_caption_gt10min
-    data_files:
-      - split: preview
-        path: viewer/caption_gt10min.parquet
-  - config_name: viewer_spatial
-    data_files:
-      - split: preview
-        path: viewer/spatial.parquet
+- config_name: viewer_caption_30s
+  data_files:
+  - split: preview
+    path: viewer/caption_30s.parquet
+- config_name: viewer_caption_60s
+  data_files:
+  - split: preview
+    path: viewer/caption_60s.parquet
+- config_name: viewer_caption_180s
+  data_files:
+  - split: preview
+    path: viewer/caption_180s.parquet
+- config_name: viewer_caption_gt10min
+  data_files:
+  - split: preview
+    path: viewer/caption_gt10min.parquet
+- config_name: viewer_spatial
+  data_files:
+  - split: preview
+    path: viewer/spatial.parquet
 ---
 
 # LLaVA-OneVision-2-Data
 
+[**Project Page**](https://evolvinglmms-lab.github.io/LLaVA-OneVision-2/) | [**Paper**](https://huggingface.co/papers/2605.25979) | [**GitHub**](https://github.com/EvolvingLMMs-Lab/LLaVA-OneVision-2)
+
 Training data for the LLaVA-OneVision-2 multimodal model family, covering large-scale video and spatial reasoning corpora used in mid-training.
 
 ## Dataset Composition
@@ -63,3 +65,33 @@ The `viewer_*` configs above expose small Parquet samples so the Hugging Face Da
 - **`viewer_spatial`** — 10 spatial-reasoning samples with embedded thumbnail images, mixed across tasks (refcoco, visual genome, pointing, ca1m, osd, crosspoint, erqa, roborefer)
 
 These previews are intended for **schema inspection only**. For training, use the full `mid_training_video/` and `spatial/` shards.
+
+## Sample Usage
+
+You can download the dataset using the `huggingface-cli`:
+
+```bash
+huggingface-cli download --repo-type dataset --resume-download \
+    --local-dir ./LLaVA-OneVision-2-Data \
+    mvp-lab/LLaVA-OneVision-2-Data
+```
+
+## Citation
+
+If you find *LLaVA-OneVision-2* useful in your research, please consider citing the following papers:
+
+```bibtex
+@inproceedings{LLaVA-OneVision-2,
+  title={LLaVA-OneVision-2},
+  author={llava-onevision contributors},
+  booktitle={arXiv},
+  year={2026}
+}
+
+@inproceedings{LLaVA-OneVision-1.5,
+  title={LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training},
+  author={An, Xiang and Xie, Yin and Yang, Kaicheng and Zhang, Wenkang and Zhao, Xiuwei and Cheng, Zheng and Wang, Yirui and Xu, Songcen and Chen, Changrui and Wu, Chunsheng and Tan, Huajie and Li, Chunyuan and Yang, Jing and Yu, Jie and Wang, Xiyao and Qin, Bin and Wang, Yumeng and Yan, Zizhen and Feng, Ziyong and Liu, Ziwei and Li, Bo and Deng, Jiankang},
+  booktitle={arXiv},
+  year={2025}
+ }
+```