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README.md

@@ -194,7 +194,7 @@ tags:
 
 ## Dataset Description
 
-We introduce **EMMA (Enhanced MultiModal reAsoning)**, a benchmark targeting organic multimodal reasoning across mathematics, physics, chemistry, and coding. 
+**EMMA (Enhanced MultiModal reAsoning)** is a benchmark targeting organic multimodal reasoning across mathematics, physics, chemistry, and coding. 
 EMMA tasks demand advanced cross-modal reasoning that cannot be solved by thinking separately in each modality, offering an enhanced test suite for MLLMs' reasoning capabilities.
 
 EMMA is composed of 2,788 problems, of which 1,796 are newly constructed, across four domains. Within each subject, we further provide fine-grained labels for each question based on the specific skills it measures.
@@ -209,18 +209,6 @@ EMMA is composed of 2,788 problems, of which 1,796 are newly constructed, across
 - Code: https://github.com/hychaochao/EMMA
 - Project: https://emma-benchmark.github.io/
 
-## Dataset Usage
-
-### Data Downloading
-
-You can download the dataset by the following command (Taking downloading math data as an example):
-
-```python
-from datasets import load_dataset
-
-dataset = load_dataset("luckychao/EMMA", "Math", split="test")
-```
-
 
 ### Data Format
 
@@ -247,10 +235,6 @@ The dataset is provided in jsonl format and contains the following attributes:
 }
 ```
 
-### Automatic Evaluation
-
- To automatically evaluate a model on the dataset, please refer to our GitHub repository [here](https://github.com/hychaochao/EMMA).
-
 ## Citation
 
 ```