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README.md
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# UroLlmEvalSet
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##
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This dataset contains 149 short textual descriptions in German medical language about the diagnosis and medical history of patients with prostate cancer.
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The prostate cancer diagnosis is not present in all of the texts and many texts also contain other tumor diagnoses.
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The texts are labeled with the three-character ICD-10 codes of the diagnoses and with the date of the initial diagnosis of the tumor.
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'label': [ # Multiple labels (diagnosis/date pairs) may be present for the text.
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{
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'diagnosis': string # ICD-code of tumor diagnosis
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'date': string # Date of initial diagnosis of this tumor
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}
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]
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}
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```
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## Loading the data set
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```{python}
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## Benchmarking LLMs for tumor documentation
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This dataset
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The code for running the `UroLlmEval` benchmark can be found here:
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https://github.com/stefan-m-lenz/UroLlmEval
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## License
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## Citation and further information
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Further information about the dataset and about the benchmark can be found in the following article:
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# UroLlmEvalSet
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## Content
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This dataset contains 149 short textual descriptions in German medical language about the diagnosis and medical history of patients with prostate cancer.
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The prostate cancer diagnosis is not present in all of the texts and many texts also contain other tumor diagnoses.
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The texts are labeled with the three-character ICD-10 codes of the diagnoses and with the date of the initial diagnosis of the tumor.
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'label': [ # Multiple labels (diagnosis/date pairs) may be present for the text.
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{
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'diagnosis': string # ICD-code of tumor diagnosis
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'date': string # Date of initial diagnosis of this tumor
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}
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]
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}
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```
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## Loading the data set
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```{python}
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## Benchmarking LLMs for tumor documentation
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This dataset was created for a benchmark to evaluate LLMs for tumor documentation.
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The code for running the `UroLlmEval` benchmark can be found here:
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https://github.com/stefan-m-lenz/UroLlmEval
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## License
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The dataset is released under terms and conditions defined in the [data set LICENSE](LICENSE).
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As this data set is for primarily intended for
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## Citation and further information
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Further information about the dataset and about the benchmark can be found in the following article:
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