Update SemEval2018_Task7.py

SemEval2018_Task7.py

@@ -1,7 +1,3 @@
-# I am trying to understand to the following code. Do not use this for any purpose as I do not support this.
-# Use the original source from https://huggingface.co/datasets/DFKI-SLT/SemEval2018_Task7/blob/main/SemEval2018_Task7.py
-
-
 # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -24,7 +20,6 @@ import datasets
 import xml.dom.minidom
 import xml.etree.ElementTree as ET
 
-# Find for instance the citation on arxiv or on the dataset repo/website
 _CITATION = """\
 @inproceedings{gabor-etal-2018-semeval,
     title = "{S}em{E}val-2018 Task 7: Semantic Relation Extraction and Classification in Scientific Papers",
@@ -52,7 +47,6 @@ _CITATION = """\
 }
 """
 
-# You can copy an official description
 _DESCRIPTION = """\
 This paper describes the first task on semantic relation extraction and classification in scientific paper
 abstracts at SemEval 2018. The challenge focuses on domain-specific semantic relations and includes three 
@@ -63,10 +57,8 @@ limited to scientific or bio-medical information extraction. The task attracted
 with 158 submissions across different scenarios.
 """
 
-# Add a link to an official homepage for the dataset here
 _HOMEPAGE = "https://github.com/gkata/SemEval2018Task7/tree/testing"
 
-# Add the licence for the dataset here if you can find it
 _LICENSE = ""
 
 # Add link to the official dataset URLs here
@@ -193,18 +185,10 @@ class Semeval2018Task7(datasets.GeneratorBasedBuilder):
         )
 
         return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
             description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-            features=features,  # Here we define them above because they are different between the two configurations
-            # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
-            # specify them. They'll be used if as_supervised=True in builder.as_dataset.
-            # supervised_keys=("sentence", "label"),
-            # Homepage of the dataset for documentation
+            features=features,
             homepage=_HOMEPAGE,
-            # License for the dataset if available
             license=_LICENSE,
-            # Citation for the dataset
             citation=_CITATION,
         )
 
@@ -267,15 +251,7 @@ class Semeval2018Task7(datasets.GeneratorBasedBuilder):
                 if arg_id not in text_id_to_relations_map:
                   text_id_to_relations_map[arg_id] = [relation]
                 else:
-                  text_id_to_relations_map[arg_id].append(relation)
-                  #print("result", text_id_to_relations_map)
-
-                #for arg_id, values in text_id_to_relations_map.items():
-                  #print(f"ID: {arg_id}")
-                 # for value in values:
-                  #  (value)
-
-                
+                  text_id_to_relations_map[arg_id].append(relation) 
 
         doc2 = ET.parse(text_filepath)
         root = doc2.getroot()
@@ -284,7 +260,6 @@ class Semeval2018Task7(datasets.GeneratorBasedBuilder):
           if child.find("title")==None: 
             continue
           text_id = child.attrib
-          #print("text_id", text_id)
 
           if child.find("abstract")==None: 
             continue