Fix task_categories (image-to-video/text-to-video) and BibTeX with real authors for single-blind submission

README.md

@@ -1,8 +1,8 @@
 ---
 license: cc-by-4.0
 task_categories:
-  - video-text-to-text
-  - video-classification
+  - image-to-video
+  - text-to-video
 language:
   - en
 size_categories:
@@ -15,11 +15,6 @@ tags:
   - image-to-video
   - evaluation
   - benchmark
-configs:
-  - config_name: default
-    data_files:
-      - split: test
-        path: "Multi-*/Multi-*_task/Multi-*_*/question_metadata.json"
 ---
 
 # VBVR-MultiStep-Bench
@@ -105,11 +100,10 @@ Wan2.2-I2V-A14B (Apache-2.0) is referenced as a baseline model and a fine-tuning
 
 ```bibtex
 @inproceedings{vbvr_multistep_2026,
-  title={Could Video Generation Models Solve Long-Horizon Multi-Step Reasoning Tasks?},
-  author={Anonymous},
-  booktitle={NeurIPS Datasets and Benchmarks},
-  year={2026},
-  note={Under review.}
+  title  = {Could Video Generation Models Solve Long-Horizon Multi-Step Reasoning Tasks?},
+  author = {Wang, Maijunxian and Zhou, Yifan and Zhang, Alvin and Ge, Jiahui and Wen, Shaoyue and Mei, Lantao and Guo, Lingzi and Wang, Ruisi and Cai, Zhongang and Luo, Dezhi and Lin, Juyi and Ma, Qianli and Huang, Lianyu and Hong, Zelong and Gao, Qingying and Zhao, Tianqi and Hou, Jianheng and Zhang, Danyang and Sun, Haoran and Wang, Runming and Xiao, Weihang and Xing, Hanwen and Jiao, Yizheng and Xu, Pengcheng and Tong, Jingqi and Uzunoglu, Arda and Yu, Fengyuan and Ji, Ran and Zhao, Zehong and Yang, Xue and Khashabi, Daniel and Deng, Hokin},
+  year   = {2026},
+  note   = {Under review at NeurIPS 2026 Datasets and Benchmarks Track}
 }
 ```
 
@@ -117,11 +111,11 @@ The parent VBVR suite:
 
 ```bibtex
 @inproceedings{wang2026vbvr,
-  title={A Very Big Video Reasoning Suite},
-  author={Wang, Maijunxian and others},
-  booktitle={ICML},
-  year={2026},
-  url={https://icml.cc/virtual/2026/poster/65709}
+  title     = {A Very Big Video Reasoning Suite},
+  author    = {Wang, Maijunxian and others},
+  booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
+  year      = {2026},
+  url       = {https://icml.cc/virtual/2026/poster/65709}
 }
 ```