Update

README.md

@@ -18,11 +18,24 @@ configs:
         path: samples/metadata/videos.parquet
 ---
 
-# MEV Dataset
+# MEV: A Multi-Event Video Dataset for Long-Take Generation
 
-MEV is a multi-event video annotation dataset. The canonical nested annotation
-file is `annotations/mev.json`. The primary machine-readable table is
-`metadata/events.parquet`, where each row corresponds to one event segment.
+<p align="center">
+  <a href="https://openreview.net/forum?id=blH6L8WmTv"><img src="https://img.shields.io/badge/Paper-OpenReview-B31B1B?style=flat&amp;labelColor=344054" height="20" alt="Paper · OpenReview"></a>&nbsp;
+  <a href="https://github.com/SoftPointer/MEV"><img src="https://img.shields.io/badge/GitHub-Code-181717?style=flat&amp;labelColor=344054&amp;logo=github&amp;logoColor=white" height="20" alt="GitHub · Code"></a>&nbsp;
+  <a href="https://mev-dataset.github.io/"><img src="https://img.shields.io/badge/Project-Page-2563EB?style=flat&amp;labelColor=344054" height="20" alt="Project Page"></a>&nbsp;
+  <a href="#citation"><img src="https://img.shields.io/badge/Citation-BibTeX-BE185D?style=flat&amp;labelColor=344054" height="20" alt="Citation · BibTeX"></a>&nbsp;
+  <a href="#citation"><img src="https://img.shields.io/badge/NeurIPS-2026-7C3AED?style=flat&amp;labelColor=344054" height="20" alt="NeurIPS 2026"></a>
+</p>
+
+MEV is a dataset for long-take multi-event video generation, with 8k real-world
+videos and 25k temporally grounded events. It provides Global and Event
+annotations, including multi-granularity captions, camera descriptions, semantic
+attributes, and six VBench quality scores.
+
+The canonical nested annotation file is `annotations/mev.json`. The primary
+machine-readable table is `metadata/events.parquet`, where each row corresponds
+to one event segment.
 
 ## Repository Layout
 
@@ -200,3 +213,17 @@ Join the Global and Event tables on `uuid`. Each Event row stores its original
 video timestamps, an event ID starting at 1, its tar reference, byte size, and
 SHA-256. The HF table split names identify data views, not experimental train/test
 assignments.
+
+## Citation
+
+If you use MEV in your research, please cite:
+
+```bibtex
+@misc{mev2026,
+  title  = {MEV: A Multi-Event Video Dataset for Long-Take Generation},
+  author = {Zhu, Peiyuan and Xie, Shaoan and Shen, Yifan and Tian, Wen and
+            Li, Zijian and Chen, Guangyi and Zhang, Kun},
+  year   = {2026},
+  url    = {https://mev-dataset.github.io/}
+}
+```