Update README.md

README.md

@@ -117,14 +117,15 @@ configs:
 ---
 
 # Dataset Card for TaskMeAnything-v1-imageqa-random
-<h5 align="center">
+<h2 align="center"> TaskMeAnything-v1-imageqa-random dataset</h2>
 
-<!-- [[**📖 Paper**]() ** | [**🤗 TaskMeAnything-v1-Random**]() | [**🤗 TaskMeAnything-DB**]() | [**🤗 TaskMeAnything-UI**]() -->
-
-</h5>
+<h2 align="center"> <a href="https://www.task-me-anything.org/">🌐 Website</a> | <a href="https://arxiv.org/abs/2406.11775">📑 Paper</a> | <a href="https://huggingface.co/collections/jieyuz2/taskmeanything-664ebf028ab2524c0380526a">🤗 Huggingface</a> | <a href="https://huggingface.co/spaces/zixianma/TaskMeAnything-UI">💻 Interface</a></h2>
+    
+<h5 align="center"> If you like our project, please give us a star ⭐ on GitHub for latest update.  </h2>
 
 ## TaskMeAnything-v1-Random
-[TaskMeAnything-v1-imageqa-random](https://huggingface.co/datasets/weikaih/TaskMeAnything-v1-imageqa-random) is a dataset which randomly sampled questions from TaskMeAnything-v1, including 5,700 ImageQA questions. The dataset contains 19 splits, while each splits contains 300 questions from a specific task generator in TaskMeAnything-v1. For each row of dataset, it includes: image, question, options, answer and its corresponding task plan.
+[TaskMeAnything-v1-imageqa-random](https://huggingface.co/datasets/weikaih/TaskMeAnything-v1-imageqa-random) is a dataset which using
+randomly sampled questions from TaskMeAnything-v1, including 5,700 ImageQA questions. The dataset contains 19 splits, while each splits contains 300 questions from a specific task generator in TaskMeAnything-v1. For each row of dataset, it includes: image, question, options, answer and its corresponding task plan.
 
 ## Load TaskMeAnything-v1-Random ImageQA Dataset
 ```
@@ -135,6 +136,20 @@ dataset = datasets.load_dataset(dataset_name, split = TASK_GENERATOR_SPLIT)
 ```
 where `TASK_GENERATOR_SPLIT` is one of the task generators, eg, `random_2d_how_many`.
 
+## Evaluation Results
+
+### Overall
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/9x9dloN9fKRBj-VUJijXB.png)
+
+### Breakdown performance on each task types
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/8gq7G9Ky228eooi9Mt4ep.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/ux-4o12LCDdyqGSLFl2CX.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/oVZlgtlqDVR_oQj32ZeEj.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/UEbtq1FIPfvvoYdk6UIf0.png)
+
 ## Out-of-Scope Use
 This dataset should not be used for training models.
 
@@ -150,9 +165,12 @@ The project is not liable for any damages or losses resulting from the use of th
 - Jieyu Zhang: [email protected]
 
 ## Citation
-
 **BibTeX:**
-
 ```bibtex
-
+@article{zhang2024task,
+  title={Task Me Anything},
+  author={Zhang, Jieyu and Huang, Weikai and Ma, Zixian and Michel, Oscar and He, Dong and Gupta, Tanmay and Ma, Wei-Chiu and Farhadi, Ali and Kembhavi, Aniruddha and Krishna, Ranjay},
+  journal={arXiv preprint arXiv:2406.11775},
+  year={2024}
+}
 ```