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@@ -35,7 +35,7 @@ We have also developed a web demo to enable others to easily test the pretrained
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  ### [Accessing dataset](https://github.com/raidionics/LyNoS#accessing-dataset)
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- The dataset contains 15 CTs with corresponding lymph nodes, azygos, esophagus, and subclavian carotid arteries. The folder structure is described below.
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  The easiest way to access the data is through Python with Hugging Face's [datasets](https://pypi.org/project/datasets/) package:
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  ```
 
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  ### [Accessing dataset](https://github.com/raidionics/LyNoS#accessing-dataset)
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+ The dataset contains 15 CTs with corresponding lymph nodes, azygos, esophagus, and subclavian carotid arteries manual annotations. The folder structure is described below.
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  The easiest way to access the data is through Python with Hugging Face's [datasets](https://pypi.org/project/datasets/) package:
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  ```