Update DEFT2021.py
Browse files- DEFT2021.py +39 -0
DEFT2021.py
CHANGED
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@@ -41,6 +41,39 @@ _SPECIALITIES = ['immunitaire', 'endocriniennes', 'blessures', 'chimiques', 'eta
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_LABELS_BASE = ['anatomie', 'date', 'dose', 'duree', 'examen', 'frequence', 'mode', 'moment', 'pathologie', 'sosy', 'substance', 'traitement', 'valeur']
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class DEFT2021(datasets.GeneratorBasedBuilder):
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DEFAULT_CONFIG_NAME = "ner"
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@@ -65,6 +98,11 @@ class DEFT2021(datasets.GeneratorBasedBuilder):
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"specialities_one_hot": datasets.Sequence(
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datasets.Value("float"),
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),
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}
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)
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@@ -624,6 +662,7 @@ class DEFT2021(datasets.GeneratorBasedBuilder):
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"document_id": h['document_id'],
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"tokens": h['tokens'],
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"ner_tags": h['ner_tags'],
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})
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key += 1
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_LABELS_BASE = ['anatomie', 'date', 'dose', 'duree', 'examen', 'frequence', 'mode', 'moment', 'pathologie', 'sosy', 'substance', 'traitement', 'valeur']
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class StringIndex:
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def __init__(self, vocab):
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self.vocab_struct = {}
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print("Start building the index!")
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for t in vocab:
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if len(t) == 0:
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continue
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# Index terms by their first letter and length
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key = (t[0], len(t))
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if (key in self.vocab_struct) == False:
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self.vocab_struct[key] = []
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self.vocab_struct[key].append(t)
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print("Finished building the index!")
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def find(self, t):
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key = (t[0], len(t))
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if (key in self.vocab_struct) == False:
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return "is_oov"
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return "is_not_oov" if t in self.vocab_struct[key] else "is_oov"
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_VOCAB = StringIndex(vocab=open("./vocabulary_nachos_lowercased.txt","r").read().split("\n"))
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class DEFT2021(datasets.GeneratorBasedBuilder):
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DEFAULT_CONFIG_NAME = "ner"
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"specialities_one_hot": datasets.Sequence(
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datasets.Value("float"),
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),
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"is_oov": datasets.Sequence(
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datasets.features.ClassLabel(
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names=['is_not_oov', 'is_oov'],
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),
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),
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}
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)
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"document_id": h['document_id'],
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"tokens": h['tokens'],
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"ner_tags": h['ner_tags'],
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"is_oov": [_VOCAB.find(tt) for tt in h['tokens']]
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})
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key += 1
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