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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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129 lines
3.7 KiB
129 lines
3.7 KiB
import "reflect-metadata"
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import { Expose, Type } from 'class-transformer'
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export type ProjectType = 'DocumentClassification' | 'SequenceLabeling' | 'Seq2seq' | 'IntentDetectionAndSlotFilling' | 'ImageClassification' | 'Speech2text'
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export class ProjectReadItem {
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id: number;
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name: string;
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description: string;
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guideline: string;
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users: number[];
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tags: Object[];
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@Expose({ name: 'project_type' })
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projectType: ProjectType;
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@Expose({ name: 'updated_at' })
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updatedAt: string;
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@Expose({ name: 'random_order' })
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randomOrder: boolean;
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@Expose({ name: 'collaborative_annotation' })
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collaborative_annotation: boolean;
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@Expose({ name: 'single_class_classification' })
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exclusiveCategories: boolean;
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@Expose({ name: 'resourcetype' })
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resourceType: string;
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@Expose({ name: 'allow_overlapping' })
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allowOverlapping: boolean;
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@Expose({ name: 'grapheme_mode' })
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graphemeMode: boolean;
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@Expose({ name: 'is_text_project'})
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isTextProject: boolean;
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@Expose({ name: 'can_define_label' })
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canDefineLabel: boolean;
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@Expose({ name: 'can_define_relation' })
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canDefineRelation: boolean;
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@Expose({ name: 'can_define_span'})
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canDefineSpan: boolean;
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@Expose({ name: 'can_define_category' })
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canDefineCategory: boolean;
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get annotationPageLink(): string {
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const mapping = {
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DocumentClassification: 'text-classification',
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SequenceLabeling : 'sequence-labeling',
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Seq2seq : 'sequence-to-sequence',
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IntentDetectionAndSlotFilling: 'intent-detection-and-slot-filling',
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ImageClassification : 'image-classification',
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Speech2text : 'speech-to-text',
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}
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const url = `/projects/${this.id}/${mapping[this.projectType]}`
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return url
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}
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get taskNames(): string[] {
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if (this.projectType === 'IntentDetectionAndSlotFilling') {
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return [
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'DocumentClassification',
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'SequenceLabeling',
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]
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}
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return [this.projectType]
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}
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}
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export class ProjectItemList {
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count: number;
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next: string | null;
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prev: string | null;
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@Type(() => ProjectReadItem)
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@Expose({ name: 'results' })
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items: ProjectReadItem[];
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}
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export class ProjectWriteItem {
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constructor(
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public id: number,
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public name: string,
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public description: string,
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public guideline: string,
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public project_type: ProjectType,
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public random_order: boolean,
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public collaborative_annotation: boolean,
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public single_class_classification: boolean,
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public allow_overlapping: boolean,
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public grapheme_mode: boolean
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) {}
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get resourceType(): string {
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const mapping = {
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DocumentClassification: 'TextClassificationProject',
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SequenceLabeling : 'SequenceLabelingProject',
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Seq2seq : 'Seq2seqProject',
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IntentDetectionAndSlotFilling: 'IntentDetectionAndSlotFillingProject',
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ImageClassification : 'ImageClassificationProject',
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Speech2text : 'Speech2textProject',
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}
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return mapping[this.project_type]
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}
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toObject(): Object {
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return {
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id: this.id,
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name: this.name,
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description: this.description,
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guideline: this.guideline,
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project_type: this.project_type,
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random_order: this.random_order,
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collaborative_annotation: this.collaborative_annotation,
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single_class_classification: this.single_class_classification,
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allow_overlapping: this.allow_overlapping,
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grapheme_mode: this.grapheme_mode,
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resourcetype: this.resourceType
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}
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}
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}
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