tidy up

CoarseWSD-20.py

@@ -1,5 +1,5 @@
 
-# @title cwsd20 code
+
 import json
 import datasets
 import os
@@ -22,9 +22,6 @@ to provide an ideal setting for evaluating WSD models (e.g. no senses in test se
 from training), both quantitavely and qualitatively.
 """
 
-path = "data/apple/train.data.txt"
-
-
 _WORDS = ["apple", "arm", "bank", "bass",
          "bow", "chair", "club", "crane",
          "deck", "digit", "hood", "java",
@@ -55,15 +52,6 @@ class CWSD20(datasets.GeneratorBasedBuilder):
                   "idx": datasets.Value("int32"),
                   "sentence": datasets.Value("string"),
                   "label": datasets.features.ClassLabel(names=label_classes)
-                  # datasets.features.ClassLabel(names=self.config.label_classes)
-                  # "label":  datasets.Value("int32")
-                  # "idx": datasets.Value("int32"),
-                  # "word": datasets.Value("string"),
-                  # "start1": datasets.Value("int32"),
-                  # "start2": datasets.Value("int32"),
-                  # "end1": datasets.Value("int32"),
-                  # "end2": datasets.Value("int32"),
-                  # "label": datasets.Value("int32")
               }
           ),
           # If there's a common (input, target) tuple from the features,
@@ -71,7 +59,7 @@ class CWSD20(datasets.GeneratorBasedBuilder):
           # builder.as_dataset.
           supervised_keys=None,
           # Homepage of the dataset for documentation
-          homepage="https://github.com/google-research-datasets/boolean-questions",
+          homepage="https://github.com/danlou/bert-disambiguation.git",
           citation=_CITATION,
       )
 
@@ -98,7 +86,6 @@ class CWSD20(datasets.GeneratorBasedBuilder):
 
           for id_, (exi, lbi) in enumerate(zip(exf, lbf)):
             example = {}
-            # 'word', 'sentence1', 'sentence2', 'start1', 'start2', 'end1', 'end2', 'idx', 'label'
             parts = exi.split("\t")
             idx = parts[0]
             sent = parts[1]