Update sd-nlp-non-tokenized.py

sd-nlp-non-tokenized.py

@@ -195,7 +195,7 @@ class SourceDataNLP(datasets.GeneratorBasedBuilder):
                     labels = data["label_ids"]["entity_types"]
                     tag_mask = [0 if tag == "O" else 1 for tag in labels]
                     yield id_, {
-                        "input_ids": data["input_ids"],
+                        "words": data["words"],
                         "labels": labels,
                         "tag_mask": tag_mask,
                     }
@@ -204,26 +204,25 @@ class SourceDataNLP(datasets.GeneratorBasedBuilder):
                     geneprod = ["B-GENEPROD", "I-GENEPROD", "B-PROTEIN", "I-PROTEIN", "B-GENE", "I-GENE"]
                     tag_mask = [1 if t in geneprod else 0 for t in labels]
                     yield id_, {
-                        "input_ids": data["input_ids"],
+                        "words": data["words"],
                         "labels": data["label_ids"]["geneprod_roles"],
                         "tag_mask": tag_mask,
                     }
                 elif self.config.name == "SMALL_MOL_ROLES":
-                    labels = data["label_ids"]["entity_types"]
+                    labels = data["words"]["entity_types"]
                     small_mol = ["B-SMALL_MOLECULE", "I-SMALL_MOLECULE"]
                     tag_mask = [1 if t in small_mol else 0 for t in labels]
                     yield id_, {
-                        "input_ids": data["input_ids"],
+                        "words": data["words"],
                         "labels": data["label_ids"]["small_mol_roles"],
                         "tag_mask": tag_mask,
                     }
                 elif self.config.name == "BORING":
-                    yield id_, {"input_ids": data["input_ids"], "labels": data["label_ids"]["boring"]}
+                    yield id_, {"words": data["words"], "labels": data["label_ids"]["boring"]}
                 elif self.config.name == "PANELIZATION":
                     labels = data["label_ids"]["panel_start"]
                     tag_mask = [1 if t == "B-PANEL_START" else 0 for t in labels]
                     yield id_, {
-                        "input_ids": data["input_ids"],
+                        "input_ids": data["words"],
                         "labels": data["label_ids"]["panel_start"],
-                        "tag_mask": tag_mask,
                     }