Update README.md

README.md

@@ -116,39 +116,44 @@ configs:
     path: data/sg_what_relation-*
 ---
 
-# Dataset Card for TaskMeAnything-v1-imageqa-random
-<h2 align="center"> TaskMeAnything-v1-imageqa-random dataset</h2>
+# Dataset Card for TaskMeAnything-v1-imageqa-2024
+<h2 align="center"> TaskMeAnything-v1-imageqa-2024 benchmark dataset</h2>
 
 <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 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.
+## TaskMeAnything-v1-2024
+[TaskMeAnything-v1-imageqa-2024](https://huggingface.co/datasets/weikaih/TaskMeAnything-v1-imageqa-2024) is a benchmark for reflecting the current progress of MLMs by `automatically` finding tasks that SOTA MLMs struggle with using the TaskMeAnything Top-K queries. 
+This benchmark includes 3,279 2d questions, 7,095 3d questions, and 1,896 real image questions that the TaskMeAnything algorithm automatically approximated as challenging for over 12 popular MLMs.
 
-## Load TaskMeAnything-v1-Random ImageQA Dataset
+
+The dataset contains 19 splits, while each splits contains 400+ 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-v1-2024 ImageQA Dataset
 ```
 import datasets
 
-dataset_name = 'weikaih/TaskMeAnything-v1-imageqa-random'
+dataset_name = 'weikaih/TaskMeAnything-v1-imageqa-2024'
 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`.
+where `TASK_GENERATOR_SPLIT` is one of the task generators, eg, `2024_2d_how_many`.
 
 ## Evaluation Results
 
 ### Overall
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/9x9dloN9fKRBj-VUJijXB.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/_KadJKJSHhZXXfIfePaUg.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/-DrQ90FuGatJE4CuHsWS9.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/6D33K2tSc1OYF4_f6YJ63.png)
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/oVZlgtlqDVR_oQj32ZeEj.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/eKzh5ghGNVrCluVmnkZW0.png)
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/UEbtq1FIPfvvoYdk6UIf0.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65cb0dcc4913057ac82a7a31/sm8dAmjxsXmJu8oeqLaeQ.png)
 
 ## Out-of-Scope Use
 This dataset should not be used for training models.