Datasets:

EMBO
/

sd-nlp-non-tokenized

Tasks:

Token Classification

Text Classification

Sub-tasks:

multi-class-classification

named-entity-recognition

Languages:

Multilinguality:

Size Categories:

Language Creators:

expert-generated

Annotations Creators:

expert-generated

Tags:

License:

Dataset card Viewer Files Files and versions Community

Dr. Jorge Abreu Vicente commited on May 17, 2022

Commit

0ecdee3

•

1 Parent(s): 16e01d5

Update sd-nlp-non-tokenized.py

Files changed (1) hide show

sd-nlp-non-tokenized.py +1 -4

sd-nlp-non-tokenized.py CHANGED Viewed

@@ -145,7 +145,7 @@ class SourceDataNLP(datasets.GeneratorBasedBuilder):
         return datasets.DatasetInfo(
             description=self._DESCRIPTION,
             features=features,
-            supervised_keys=("input_ids", "labels"),
             homepage=self._HOMEPAGE,
             license=self._LICENSE,
             citation=self._CITATION,
@@ -197,7 +197,6 @@ class SourceDataNLP(datasets.GeneratorBasedBuilder):
                     yield id_, {
                         "words": data["words"],
                         "labels": labels,
-                        "tag_mask": tag_mask,
                     }
                 elif self.config.name == "GENEPROD_ROLES":
                     labels = data["label_ids"]["entity_types"]
@@ -206,7 +205,6 @@ class SourceDataNLP(datasets.GeneratorBasedBuilder):
                     yield id_, {
                         "words": data["words"],
                         "labels": data["label_ids"]["geneprod_roles"],
-                        "tag_mask": tag_mask,
                     }
                 elif self.config.name == "SMALL_MOL_ROLES":
                     labels = data["words"]["entity_types"]
@@ -215,7 +213,6 @@ class SourceDataNLP(datasets.GeneratorBasedBuilder):
                     yield id_, {
                         "words": data["words"],
                         "labels": data["label_ids"]["small_mol_roles"],
-                        "tag_mask": tag_mask,
                     }
                 elif self.config.name == "BORING":
                     yield id_, {"words": data["words"], "labels": data["label_ids"]["boring"]}

         return datasets.DatasetInfo(
             description=self._DESCRIPTION,
             features=features,
+            supervised_keys=("words", "label_ids"),
             homepage=self._HOMEPAGE,
             license=self._LICENSE,
             citation=self._CITATION,
                     yield id_, {
                         "words": data["words"],
                         "labels": labels,
                     }
                 elif self.config.name == "GENEPROD_ROLES":
                     labels = data["label_ids"]["entity_types"]
                     yield id_, {
                         "words": data["words"],
                         "labels": data["label_ids"]["geneprod_roles"],
                     }
                 elif self.config.name == "SMALL_MOL_ROLES":
                     labels = data["words"]["entity_types"]
                     yield id_, {
                         "words": data["words"],
                         "labels": data["label_ids"]["small_mol_roles"],
                     }
                 elif self.config.name == "BORING":
                     yield id_, {"words": data["words"], "labels": data["label_ids"]["boring"]}