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feat: implement chunk structure card and related hooks for dataset creation; update translations and refactor pipeline template fetching
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@ -5,14 +5,17 @@ import {
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} from '@/app/components/base/icons/src/vender/knowledge'
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import { EffectColor, type Option } from './types'
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import { ChunkingMode } from '@/models/datasets'
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import { useTranslation } from 'react-i18next'
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export const useChunkStructure = () => {
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const { t } = useTranslation()
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const GeneralOption: Option = {
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id: ChunkingMode.text,
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icon: <GeneralChunk className='size-[18px]' />,
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iconActiveColor: 'text-util-colors-indigo-indigo-600',
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title: 'General',
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description: 'General text chunking mode, the chunks retrieved and recalled are the same.',
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description: t('datasetCreation.stepTwo.generalTip'),
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effectColor: EffectColor.indigo,
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showEffectColor: true,
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}
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@ -21,7 +24,7 @@ export const useChunkStructure = () => {
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icon: <ParentChildChunk className='size-[18px]' />,
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iconActiveColor: 'text-util-colors-blue-light-blue-light-500',
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title: 'Parent-Child',
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description: 'When using the parent-child mode, the child-chunk is used for retrieval and the parent-chunk is used for recall as context.',
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description: t('datasetCreation.stepTwo.parentChildTip'),
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effectColor: EffectColor.blueLight,
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showEffectColor: true,
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}
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@ -29,7 +32,7 @@ export const useChunkStructure = () => {
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id: ChunkingMode.qa,
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icon: <QuestionAndAnswer className='size-[18px]' />,
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title: 'Q&A',
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description: 'When using structured Q&A data, you can create documents that pair questions with answers. These documents are indexed based on the question portion, allowing the system to retrieve relevant answers based on query similarity',
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description: t('datasetCreation.stepTwo.qaTip'),
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}
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const options = [
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