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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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108 lines
2.3 KiB
108 lines
2.3 KiB
<template>
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<v-combobox
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v-model="annotatedLabels"
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chips
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:items="labels"
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item-text="text"
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hide-details
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hide-selected
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multiple
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class="pt-0"
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:search-input.sync="search"
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@change="search=''"
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>
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<template v-slot:selection="{ attrs, item, select, selected }">
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<v-chip
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v-bind="attrs"
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:input-value="selected"
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:color="item.backgroundColor"
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:text-color="$contrastColor(item.backgroundColor)"
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close
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@click="select"
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@click:close="remove(item)"
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>
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<v-avatar
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left
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color="white"
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class="black--text font-weight-bold"
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>
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{{ item.suffixKey }}
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</v-avatar>
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{{ item.text }}
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</v-chip>
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</template>
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<template v-slot:item="{ item }">
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<v-chip
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:color="item.backgroundColor"
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:text-color="$contrastColor(item.backgroundColor)"
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>
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<v-avatar
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left
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color="white"
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class="black--text font-weight-bold"
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>
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{{ item.suffixKey }}
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</v-avatar>
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{{ item.text }}
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</v-chip>
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</template>
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</v-combobox>
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</template>
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<script>
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export default {
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props: {
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labels: {
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type: Array,
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default: () => [],
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required: true
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},
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annotations: {
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type: Array,
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default: () => ([]),
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required: true
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}
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},
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data() {
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return {
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search: ''
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}
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},
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computed: {
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annotatedLabels: {
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get() {
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const labelIds = this.annotations.map(item => item.label)
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return this.labels.filter(item => labelIds.includes(item.id))
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},
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set(newValue) {
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if (newValue.length > this.annotations.length) {
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const label = newValue[newValue.length - 1]
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if (typeof label === 'object') {
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this.add(label)
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} else {
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newValue.pop()
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}
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} else {
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const label = this.annotatedLabels.find(x => !newValue.some(y => y.id === x.id))
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if (typeof label === 'object') {
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this.remove(label)
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}
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}
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}
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}
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},
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methods: {
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add(label) {
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this.$emit('add', label.id)
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},
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remove(label) {
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const annotation = this.annotations.find(item => item.label === label.id)
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this.$emit('remove', annotation.id)
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}
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}
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}
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</script>
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