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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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157 lines
3.7 KiB
157 lines
3.7 KiB
import abc
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from django.contrib.auth.models import User
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from django.db import models
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from polymorphic.models import PolymorphicModel
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DOCUMENT_CLASSIFICATION = 'DocumentClassification'
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SEQUENCE_LABELING = 'SequenceLabeling'
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SEQ2SEQ = 'Seq2seq'
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SPEECH2TEXT = 'Speech2text'
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IMAGE_CLASSIFICATION = 'ImageClassification'
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INTENT_DETECTION_AND_SLOT_FILLING = 'IntentDetectionAndSlotFilling'
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PROJECT_CHOICES = (
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(DOCUMENT_CLASSIFICATION, 'document classification'),
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(SEQUENCE_LABELING, 'sequence labeling'),
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(SEQ2SEQ, 'sequence to sequence'),
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(INTENT_DETECTION_AND_SLOT_FILLING, 'intent detection and slot filling'),
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(SPEECH2TEXT, 'speech to text'),
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(IMAGE_CLASSIFICATION, 'image classification')
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)
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class Project(PolymorphicModel):
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name = models.CharField(max_length=100)
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description = models.TextField(default='')
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guideline = models.TextField(default='', blank=True)
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created_at = models.DateTimeField(auto_now_add=True)
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updated_at = models.DateTimeField(auto_now=True)
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created_by = models.ForeignKey(
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User,
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on_delete=models.SET_NULL,
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null=True,
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)
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project_type = models.CharField(max_length=30, choices=PROJECT_CHOICES)
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random_order = models.BooleanField(default=False)
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collaborative_annotation = models.BooleanField(default=False)
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single_class_classification = models.BooleanField(default=False)
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@property
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@abc.abstractmethod
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def is_text_project(self) -> bool:
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return False
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@property
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def can_define_label(self) -> bool:
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"""Whether or not the project can define label(ignoring the type of label)"""
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return False
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@property
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def can_define_relation(self) -> bool:
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"""Whether or not the project can define relation."""
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return False
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@property
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def can_define_category(self) -> bool:
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"""Whether or not the project can define category."""
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return False
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@property
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def can_define_span(self) -> bool:
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"""Whether or not the project can define span."""
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return False
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def __str__(self):
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return self.name
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class TextClassificationProject(Project):
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@property
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def is_text_project(self) -> bool:
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return True
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@property
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def can_define_label(self) -> bool:
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return True
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@property
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def can_define_category(self) -> bool:
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return True
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class SequenceLabelingProject(Project):
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allow_overlapping = models.BooleanField(default=False)
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grapheme_mode = models.BooleanField(default=False)
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@property
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def is_text_project(self) -> bool:
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return True
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@property
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def can_define_label(self) -> bool:
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return True
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@property
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def can_define_span(self) -> bool:
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return True
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class Seq2seqProject(Project):
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@property
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def is_text_project(self) -> bool:
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return True
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class IntentDetectionAndSlotFillingProject(Project):
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@property
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def is_text_project(self) -> bool:
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return True
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@property
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def can_define_label(self) -> bool:
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return True
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@property
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def can_define_category(self) -> bool:
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return True
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@property
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def can_define_span(self) -> bool:
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return True
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class Speech2textProject(Project):
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@property
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def is_text_project(self) -> bool:
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return False
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class ImageClassificationProject(Project):
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@property
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def is_text_project(self) -> bool:
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return False
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@property
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def can_define_label(self) -> bool:
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return True
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@property
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def can_define_category(self) -> bool:
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return True
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class Tag(models.Model):
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text = models.TextField()
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project = models.ForeignKey(
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to=Project,
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on_delete=models.CASCADE,
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related_name='tags'
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)
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def __str__(self):
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return self.text
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