Update README.md

README.md

@@ -9,60 +9,91 @@ size_categories:
 # Dataset Card for Dataset Name
 
 This is the BalanceCC benchmark published in [CCEdit](https://arxiv.org/pdf/2309.16496.pdf), containing 100 videos with varied attributes, designed to offer a comprehensive platform
-for evaluating video editing, focusing on both controllability and creativity.
+for evaluating **generative video editing**, focusing on both controllability and creativity.
 
 ## Dataset Details
 
 ### Dataset Description
 
-<!-- Provide a longer summary of what this dataset is. -->
-
-
+Our objective is to develop a benchmark dataset specifically designed for tasks involving controllable and creative video editing.
+Therefore, we collected 100 videos from different categories, including Animal, Human, Object, and Landscape. 
+In addition, for each source video, we provided a text description and graded Camera Motion, Object Motion, and Scene Complexity on a scale from 1 to 3. 
+For each video, there are four types of edit along with corresponding target prompts and Fantasy Levels (also ranging from 1 to 3), namely Style Change, Object Change, Background Change, and Compound Change. 
+Our aim in doing so is to better compare the strengths and weaknesses of different methods and their areas of expertise, as well as to assist researchers in advancing their techniques.
 
 ## Dataset Structure
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+**BalanceCC**
+- BalanceCC.json
+- miniBalanceCC.json
+- StatisticalResults.png
+- Result
+  - Animal
+  - Human
+  - Landscape
+  - Object
 
 [More Information Needed]
 
 
 ### Annotations
 
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+BalanceCC.json and miniBalanceCC.json are lists of dictionaries. Each component includes "Video Name", "Video Type", "Original Prompt", "Editing", "Camera Motion", "Object Motion", and "Scene Complexity".
+"Editing" is a list that contains dictionaries of different editing targets with "Editing Type", "Target Prompt", and "Fantasy Level".
+Here is an example:
+```
+[
+    {
+        "Video Name": "blackswan",
+        "Video Type": "Animal",
+        "Original Prompt": "A black swan swimming in a pond with lush greenery in the background.",
+        "Editing": [
+            { 
+                "Editing Type": "Style Change",
+                "Target Prompt": "A black swan swimming in a pond with lush greenery in the background, oil painting style.",
+                "Fantasy Level": 1
+            },
+            { 
+                "Editing Type": "Object Change",
+                "Target Prompt": "A majestic flamingo swimming in a pond with lush greenery in the background.",
+                "Fantasy Level": 1
+            },
+            { 
+                "Editing Type": "Background Change",
+                "Target Prompt": "A black swan swimming in a crystal clear lake surrounded by snow-capped mountains.",
+                "Fantasy Level": 2
+            },
+            { 
+                "Editing Type": "Multiple Change",
+                "Target Prompt": "A duck made of origami floating on a pond under a cherry blossom tree in full bloom.",
+                "Fantasy Level": 3
+            }
+        ],
+        "Camera Motion": 2,
+        "Object Motion": 2,
+        "Scene Complexity": 2
+    },
+    ...
+]
+```
+
 
 #### Annotation process
 
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
+The annotation process is conducted via GPT-4V and human revision. Please refer to our paper for detailed information.
 
-[More Information Needed]
 
 
 ## Citation
-
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Dataset Card Authors [optional]
-
-[More Information Needed]
+```
+@article{feng2023ccedit,
+  title={Ccedit: Creative and controllable video editing via diffusion models},
+  author={Feng, Ruoyu and Weng, Wenming and Wang, Yanhui and Yuan, Yuhui and Bao, Jianmin and Luo, Chong and Chen, Zhibo and Guo, Baining},
+  journal={arXiv preprint arXiv:2309.16496},
+  year={2023}
+}
+```
 
 ## Dataset Card Contact
 
-[More Information Needed]
+[Ruoyu Feng](ustcfry@mail.ustc.edu.cn)