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

drAbreu commited on Jan 19, 2023

Commit

d43a2a9

•

1 Parent(s): aad3b94

Update sd-nlp-non-tokenized.py

Files changed (1) hide show

sd-nlp-non-tokenized.py +1 -0

sd-nlp-non-tokenized.py CHANGED Viewed

@@ -213,6 +213,7 @@ class SourceDataNLP(datasets.GeneratorBasedBuilder):
             # logger.info("⏳ Generating examples from = %s", filepath)
             for id_, row in enumerate(f):
                 data = json.loads(row)
                 if self.config.name == "NER":
                     labels = data["label_ids"]["entity_types"]
                     tag_mask = [0 if tag == "O" else 1 for tag in labels]

             # logger.info("⏳ Generating examples from = %s", filepath)
             for id_, row in enumerate(f):
                 data = json.loads(row)
+                print(data.keys())
                 if self.config.name == "NER":
                     labels = data["label_ids"]["entity_types"]
                     tag_mask = [0 if tag == "O" else 1 for tag in labels]