Updated the schema of the dataset to contain the indices of the words that are keywords

keyword_pubmed.py

@@ -10,7 +10,7 @@ import datasets
 
 class KeywordPubmedDataset(datasets.GeneratorBasedBuilder):
 
-    VERSION = datasets.Version("1.0.0")
+    VERSION = datasets.Version("1.1.0")
 
 
 
@@ -28,6 +28,7 @@ class KeywordPubmedDataset(datasets.GeneratorBasedBuilder):
                     "sentence": datasets.Value("string"),
                     "pmcid": datasets.Value("string"),
                     "keyword_rank": datasets.Value("int32"),
+                    "keyword_indices": datasets.Sequence(datasets.Value("int32"))
                 }
             )
         else:
@@ -36,6 +37,7 @@ class KeywordPubmedDataset(datasets.GeneratorBasedBuilder):
                     "sentence": datasets.Value("string"),
                     "pmcid": datasets.Value("string"),
                     "keyword_rank": datasets.Value("int32"),
+                    "keyword_indices": datasets.Sequence(datasets.Value("int32"))
                 }
             )
         return datasets.DatasetInfo(
@@ -101,14 +103,16 @@ class KeywordPubmedDataset(datasets.GeneratorBasedBuilder):
                         sentence = sentence.strip()
                         if sentence: # Ignore blanks
                             sentence = re.sub("\s+", " ", sentence)
-                            has_keyword,  rank = self._has_keyword(sentence, keywords, ranks) 
+                            kw_indices,  rank = self._keyword_indices(sentence, keywords, ranks)
+                            has_keyword  = rank > -1
                             if self.config.name == "sentence":
                                 # Yields examples as (key, example) tuples
                                 if has_keyword:
                                     yield item_ix, {
                                         "sentence": sentence,
                                         "keyword_rank": rank,
-                                        "pmcid": pmcid
+                                        "pmcid": pmcid,
+                                        "keyword_indices": kw_indices
                                     }
                                     item_ix += 1
 
@@ -116,18 +120,24 @@ class KeywordPubmedDataset(datasets.GeneratorBasedBuilder):
                                 yield item_ix, {
                                     "sentence": sentence,
                                     "keyword_rank": rank,
-                                    "pmcid": pmcid
+                                    "pmcid": pmcid,
+                                    "keyword_indices": kw_indices
                                 }
                                 item_ix += 1
 
-    def _has_keyword(self, sentence, keywords, ranks):
+    def _keyword_indices(self, sentence, keywords, ranks):
         # Lowercase and split the sentence
         words = sentence.lower().split()
+        indices = list()
+        top_rank = -1
         # Check every word until it finds a keyword
-        for word in words:
+        for w_ix, word in enumerate(words):
             if word in keywords:
-                return True, ranks[word]
-        return False, -1
+                indices.append(w_ix)
+                rank = ranks[word]
+                if rank < top_rank or top_rank == -1:
+                    top_rank = rank
+        return indices, top_rank
 
 
 if __name__  == "__main__":