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Update README.md

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@@ -19,20 +19,20 @@ To work with the MedHallu dataset, please install the Hugging Face `datasets` li
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  ```bash
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  pip install datasets
 
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  ## How to Use MedHallu
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- - **Downloading the Dataset:**
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- ```python3
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- from datasets import load_dataset
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- # Load the 'pqa_labeled' split: 1,000 high-quality, human-annotated samples.
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- medhallu_labeled = load_dataset("UTAustin-AIHealth/MedHallu", "pqa_labeled")
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-
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- # Load the 'pqa_artificial' split: 9,000 samples generated via an automated pipeline.
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- medhallu_artificial = load_dataset("UTAustin-AIHealth/MedHallu", "pqa_artificial")
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- ```
 
 
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  ---
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@@ -56,3 +56,6 @@ If you find MedHallu useful in your research, please consider citing our work:
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  year={2025},
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  publisher={}
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  }
 
 
 
 
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  ```bash
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  pip install datasets
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+ ```
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  ## How to Use MedHallu
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+ **Downloading the Dataset:**
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+ ```python3
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+ from datasets import load_dataset
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+ # Load the 'pqa_labeled' split: 1,000 high-quality, human-annotated samples.
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+ medhallu_labeled = load_dataset("UTAustin-AIHealth/MedHallu", "pqa_labeled")
 
 
 
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+ # Load the 'pqa_artificial' split: 9,000 samples generated via an automated pipeline.
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+ medhallu_artificial = load_dataset("UTAustin-AIHealth/MedHallu", "pqa_artificial")
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+ ```
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  ---
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  year={2025},
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  publisher={}
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  }
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+
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+ ## Contact
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+ For further information or inquiries about MedHallu, please reach out at [email protected]