49 lines
1.6 KiB
JSON
49 lines
1.6 KiB
JSON
{
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"dataset_id": "rag-core-v1",
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"kind": "rag",
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"version": "1.0.0",
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"description": "基础中文笔记检索集（对应 backend/data/vault 内置语料，重建索引后即可复现）",
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"cases": [
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{
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"case_id": "rag-vector-sim",
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"query": "向量数据库如何进行相似度检索",
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"expected_note_ids": ["note_c1454740a0e55ef5"],
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"expected_block_ids": ["blk_07c4c6bce0ec4d12", "blk_605fb3593809f224"],
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"citation_required": true,
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"tags": ["向量数据库", "检索"]
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},
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{
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"case_id": "rag-python-func",
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"query": "Python 如何定义函数",
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"expected_note_ids": ["note_424c3742c6f0e555"],
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"expected_block_ids": ["blk_45d48cae2fed40fe", "blk_0768d9c25c2ecf07"],
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"citation_required": true,
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"tags": ["python"]
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},
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{
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"case_id": "rag-citation",
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"query": "搜索结果如何定位到原文位置",
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"expected_note_ids": ["note_0c619caa30b1614c"],
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"expected_block_ids": ["blk_3f6fcead71c25fc6", "blk_9af7b12e9ce909fc"],
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"citation_required": true,
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"tags": ["RAG"]
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},
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{
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"case_id": "rag-hybrid",
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"query": "混合检索怎么融合全文和向量",
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"expected_note_ids": ["note_c1454740a0e55ef5"],
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"expected_block_ids": ["blk_82b45418dba9f720"],
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"citation_required": true,
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"tags": ["检索"]
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},
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{
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"case_id": "rag-tech-stack",
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"query": "这个项目用什么后端和检索技术",
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"expected_note_ids": ["note_3327e6cf18f3701f"],
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"expected_block_ids": ["blk_feb2a9c42e7d31ad"],
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"citation_required": false,
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"tags": ["项目"]
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}
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]
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}
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