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Emphasized on the Community Annotations Downloads section for dataset downloading

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  1. README.md +1 -1
  2. mimicause.py +4 -3
README.md CHANGED
@@ -26,7 +26,7 @@ pretty_name: MIMICause
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  ### Dataset Summary
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- MIMICause Dataset is a dataset for representation and automatic extraction of causal relation types from clinical notes. The MIMICause dataset requires manual download of the mimicause.zip file from the community annotated datasets section of the n2c2 dataset on the [Harvard's DBMI Data Portal](https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/) after signing their agreement forms, which is a quick and easy procedure.
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  The dataset has 2714 samples having both explicit and implicit causality in which entities are in the same sentence or different sentences. The nine semantic causal relations (with directionality) between entitities E1 and E2 in a text snippets are -- (1) Cause(E1,E2) (2) Cause(E2,E1) (3) Enable(E1,E2) (4) Enable(E2,E1) (5) Prevent(E1,E2) (6) Prevent(E2,E1) (7) Hinder(E1,E2) (8) Hinder(E2,E1) (9) Other.
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  ### Dataset Summary
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+ MIMICause Dataset is a dataset for representation and automatic extraction of causal relation types from clinical notes. The MIMICause dataset requires manual download of the mimicause.zip file from the **Community Annotations Downloads** section of the n2c2 dataset on the [Harvard's DBMI Data Portal](https://portal.dbmi.hms.harvard.edu/projects/n2c2-nlp/) after signing their agreement forms, which is a quick and easy procedure.
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  The dataset has 2714 samples having both explicit and implicit causality in which entities are in the same sentence or different sentences. The nine semantic causal relations (with directionality) between entitities E1 and E2 in a text snippets are -- (1) Cause(E1,E2) (2) Cause(E2,E1) (3) Enable(E1,E2) (4) Enable(E2,E1) (5) Prevent(E1,E2) (6) Prevent(E2,E1) (7) Hinder(E1,E2) (8) Hinder(E2,E1) (9) Other.
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mimicause.py CHANGED
@@ -41,9 +41,10 @@ class MIMICAUSE(datasets.GeneratorBasedBuilder):
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  VERSION = datasets.utils.Version("1.0.0")
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  manual_download_instructions = (
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  "The MIMICause dataset requires manual download of the mimicause.zip "
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- f"file from the DBMI Data Portal ({_DOWNLOAD_URL}) after signing their"
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- " agreement forms, which is a quick and easy procedure. Then provide "
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- "the path of the downloaded mimicause.zip file."
 
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  )
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  def _info(self):
 
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  VERSION = datasets.utils.Version("1.0.0")
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  manual_download_instructions = (
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  "The MIMICause dataset requires manual download of the mimicause.zip "
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+ "file from the Community Annotations Downloads of the DBMI Data Portal"
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+ f" ({_DOWNLOAD_URL}) after signing their agreement forms, which is a "
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+ "quick and easy procedure. Then provide the path of the downloaded "
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+ "mimicause.zip file."
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  )
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  def _info(self):