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Multi-EuP

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Jinruiy commited on Nov 20, 2023

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@@ -80,7 +80,7 @@ The Multi-EuP dataset contains two files, debate coprpus<https://huggingface.co/
 ### Debate Corpus Fileds
-The debate instance and attributes showing as below. See the [Multi-EuP debate viewer](https://huggingface.co/datasets/unimelb-nlp/Multi-EuP/viewer/default/train) to explore more examples.
 - `TEXT`: A string representing the content of the debate speech.
 - `NAME`: A string containing the name of the MEP who presented the speech.
@@ -103,7 +103,7 @@ The debate instance and attributes showing as below. See the [Multi-EuP debate v
 ### MEP info Fileds
-The 705 MEP information dictinary were constructed as below:
 - `fullName`: A string representing the full name of the MEP.
 - `politicalGroup`: A string indicating the political group affiliation of the MEP.

 ### Debate Corpus Fileds
+The debate instance and attributes are displayed below. See the [Multi-EuP debate viewer](https://huggingface.co/datasets/unimelb-nlp/Multi-EuP/viewer/default/train) to explore more examples.
 - `TEXT`: A string representing the content of the debate speech.
 - `NAME`: A string containing the name of the MEP who presented the speech.
 ### MEP info Fileds
+The information dictionary for the 705 MEPs was constructed as follows:
 - `fullName`: A string representing the full name of the MEP.
 - `politicalGroup`: A string indicating the political group affiliation of the MEP.