Update README.md

README.md

@@ -47,11 +47,11 @@ size_categories:
 # 🎨 ColorBench
 [**📖 Paper**](https://arxiv.org/abs/2504.10514) | [**💻 GitHub**](https://github.com/tianyi-lab/ColorBench)
 
-ColorBench is a **multimodal dataset** to comprehensively assess capabilities of VLMs in color understanding, including color perception, reasoning, and robustness, introduced in ["ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness"](todo).
+ColorBench is a **multimodal dataset** to comprehensively assess capabilities of VLMs in color understanding, including color perception, reasoning, and robustness, introduced in ["ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness"](https://arxiv.org/abs/2504.10514).
 
 It provides:
 - **More than 5,800 image-text questions** covering diverse application scenarios and practical challenges for VLMs evaluation.
-- **3 categories and 11 tasks** for various color-centric capabilities evaluation including Perception (Color Recognition, Color Extraction and Object Recognition), Reasoning (Color Proportion, Color Comparison, Color Counting, and more.) and Robustness. 
+- **3 categories and 11 tasks** for various color-centric capabilities evaluation including Perception (Color Recognition, Color Extraction and Object Recognition), Reasoning (Color Proportion, Color Comparison, Color Counting, and more) and Robustness. 
 
 ## 📃 Instruction
 The data/test*.parquet files contain the dataset annotations and images pre-loaded for processing with HF Datasets.
@@ -70,11 +70,11 @@ The dataset contains the following fields:
 | idx        | Global index of the sample in the dataset                                   |
 | id         | Index of the sample in each task                                            |
 | type       | Type of category: Perception, Reasoning, or Robustness                      |
-| task       | Type of task: Colo Recognition, Color Extraction, Color Counting , and more |
+| task       | Type of task: Colo Recognition, Color Extraction, Color Counting, and more |
 | filename   | Path to the image                                                           |
 | image_url  | Source of the image                                                         |
 | prompt     | Prompt with question and choices pre-formatted                              |
-| question   | Question asked about the image                                              |
+| question   | Question about the image                                                    |
 | choices    | Answer choices for the question                                             |
 | answer     | Correct answer to the question                                              |
 | image      | Image object (PIL.Image)                                                    |