Datasets:

EMBO
/

sd-nlp-non-tokenized

Tasks:

Token Classification

Text Classification

Sub-tasks:

multi-class-classification

named-entity-recognition

Languages:

Size:

License:

Dataset card Files Files and versions Community

drAbreu commited on Jan 19, 2023

Commit

79106e5

•

1 Parent(s): b25600c

Update sd-nlp-non-tokenized.py

Files changed (1) hide show

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

sd-nlp-non-tokenized.py CHANGED Viewed

@@ -49,7 +49,7 @@ class SourceDataNLP(datasets.GeneratorBasedBuilder):
     _SEMANTIC_SMALL_MOL_ROLES_LABEL_NAMES = ["O", "B-CONTROLLED_VAR", "I-CONTROLLED_VAR", "B-MEASURED_VAR", "I-MEASURED_VAR"]
     _BORING_LABEL_NAMES = ["O", "B-BORING", "I-BORING"]
     _PANEL_START_NAMES = ["O", "B-PANEL_START", "I-PANEL_START"]
-    _ROLES_NAMES = ["O", "B-CONTROLLED_VAR", "I-CONTROLLED_VAR", "B-MEASURED_VAR", "I-MEASURED_VAR"]
     _CITATION = """\
     @Unpublished{

     _SEMANTIC_SMALL_MOL_ROLES_LABEL_NAMES = ["O", "B-CONTROLLED_VAR", "I-CONTROLLED_VAR", "B-MEASURED_VAR", "I-MEASURED_VAR"]
     _BORING_LABEL_NAMES = ["O", "B-BORING", "I-BORING"]
     _PANEL_START_NAMES = ["O", "B-PANEL_START", "I-PANEL_START"]
+    _ROLES_NAMES = ["O", "CONTROLLED_VAR", "MEASURED_VAR"]
     _CITATION = """\
     @Unpublished{