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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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83 lines
2.1 KiB
83 lines
2.1 KiB
<template>
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<v-content>
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<v-container fluid>
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<v-row justify="center">
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<v-col cols="12" md="9">
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<v-card
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class="title mb-5"
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>
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<v-card-text class="title">
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{{ currentDoc.text }}
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</v-card-text>
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</v-card>
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<seq2seq-box
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:text="currentDoc.text"
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:annotations="currentDoc.annotations"
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:delete-annotation="_deleteAnnotation"
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:update-annotation="_updateAnnotation"
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:create-annotation="_createAnnotation"
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/>
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</v-col>
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<v-col cols="12" md="3">
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<metadata-box :metadata="JSON.parse(currentDoc.meta)" />
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</v-col>
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</v-row>
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</v-container>
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</v-content>
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</template>
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<script>
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import MetadataBox from '@/components/organisms/annotation/MetadataBox'
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import Seq2seqBox from '~/components/organisms/annotation/Seq2seqBox'
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export default {
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layout: 'demo',
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components: {
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Seq2seqBox,
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MetadataBox
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},
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data() {
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return {
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currentDoc: {
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id: 8,
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text: 'If it had not been for his help, I would have failed.',
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annotations: [
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{
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id: 17,
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text: "S'il ne m'avait pas aidé, j'aurais échoué.",
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user: 1,
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document: 8
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},
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{
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id: 18,
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text: "S'il ne m'avait pas aidée, j'aurais échoué.",
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user: 1,
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document: 8
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}
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],
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meta: '{"wikiPageId":2}',
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annotation_approver: null
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}
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}
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},
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methods: {
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_deleteAnnotation(annotationId) {
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this.currentDoc.annotations = this.currentDoc.annotations.filter(item => item.id !== annotationId)
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},
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_updateAnnotation(annotationId, text) {
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const index = this.currentDoc.annotations.findIndex(item => item.id === annotationId)
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this.currentDoc.annotations[index].text = text
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},
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_createAnnotation(text) {
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const payload = {
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id: Math.floor(Math.random() * Math.floor(Number.MAX_SAFE_INTEGER)),
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text
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}
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this.currentDoc.annotations.push(payload)
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}
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}
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}
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</script>
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