fix(dataset): 展示训练任务名称

backend/app/db/platform_store.py

@@ -1151,12 +1151,25 @@ class PlatformStore:
 
     def datasets(self) -> list[dict[str, Any]]:
         with self.connect() as conn:
-            rows = conn.execute("SELECT * FROM datasets ORDER BY create_time DESC").fetchall()
+            rows = conn.execute(
+                """SELECT dataset.*, task.name AS task_name
+                   FROM datasets dataset
+                   LEFT JOIN data_process_tasks task
+                     ON task.id=COALESCE(dataset.source_task_id, dataset.task_id)
+                   ORDER BY dataset.create_time DESC"""
+            ).fetchall()
             return [self._dataset(conn, row) for row in rows]
 
     def dataset(self, dataset_id: str) -> dict[str, Any]:
         with self.connect() as conn:
-            row = conn.execute("SELECT * FROM datasets WHERE id=?", (dataset_id,)).fetchone()
+            row = conn.execute(
+                """SELECT dataset.*, task.name AS task_name
+                   FROM datasets dataset
+                   LEFT JOIN data_process_tasks task
+                     ON task.id=COALESCE(dataset.source_task_id, dataset.task_id)
+                   WHERE dataset.id=?""",
+                (dataset_id,),
+            ).fetchone()
             if not row:
                 raise KeyError(dataset_id)
             return self._dataset(conn, row)

backend/tests/test_platform_dataset_metadata.py

@@ -1,6 +1,46 @@
 from __future__ import annotations
 
-from app.db.platform_store import dataset_file_version_summary, parse_size_bytes
+from contextlib import contextmanager
+from typing import Any, Iterator
+
+from app.db.platform_store import PlatformStore, dataset_file_version_summary, parse_size_bytes
+
+
+class _DatasetCursor:
+    def __init__(self, rows: list[dict[str, Any]]) -> None:
+        self.rows = rows
+
+    def fetchall(self) -> list[dict[str, Any]]:
+        return self.rows
+
+
+class _DatasetConnection:
+    def __init__(self) -> None:
+        self.queries: list[str] = []
+
+    def execute(self, sql: str, params: tuple[Any, ...] | None = None) -> _DatasetCursor:
+        self.queries.append(sql)
+        if "FROM datasets dataset" in sql:
+            return _DatasetCursor(
+                [
+                    {
+                        "id": "dataset-train",
+                        "name": "cash-数据集-训练集",
+                        "type": "train",
+                        "storage_type": "local",
+                        "source": "task",
+                        "task_id": "task-cash",
+                        "source_task_id": "task-cash",
+                        "task_name": "cash",
+                        "size": "0 B",
+                        "size_bytes": 0,
+                        "metadata": "{}",
+                    }
+                ]
+            )
+        if "FROM dataset_files" in sql or "FROM dataset_records" in sql:
+            return _DatasetCursor([])
+        raise AssertionError(f"unexpected query: {sql}")
 
 
 def test_parse_size_bytes_supports_legacy_units() -> None:
@@ -44,3 +84,20 @@ def test_dataset_file_version_summary_uses_normalized_version_number_as_fallback
 
     assert summary["current_version_no"] == 1
     assert summary["version_count"] == 0
+
+
+def test_dataset_list_exposes_source_task_name() -> None:
+    store = PlatformStore.__new__(PlatformStore)
+    conn = _DatasetConnection()
+
+    @contextmanager
+    def connect() -> Iterator[_DatasetConnection]:
+        yield conn
+
+    store.connect = connect  # type: ignore[method-assign]
+
+    [dataset] = store.datasets()
+
+    assert dataset["task_name"] == "cash"
+    assert dataset["name"] == "cash-数据集-训练集"
+    assert any("task.name AS task_name" in query for query in conn.queries)

frontend/scripts/regression-dataset-task-tab.mjs

@@ -18,6 +18,7 @@ const [typesSource, dataSource, viewSource, tablePageSource] = await Promise.all
 
 assert.match(typesSource, /export type DatasetSource = 'upload' \| 'task'/)
 assert.match(typesSource, /source\?: DatasetSource/)
+assert.match(typesSource, /task_name\?: string/)
 
 assert.equal((dataSource.match(/source: 'upload'/g) || []).length, 6)
 assert.equal((dataSource.match(/source: 'task'/g) || []).length, 4)
@@ -31,6 +32,7 @@ for (const name of [
   const datasetLine = dataSource.split('\n').find((line) => line.includes(`name: '${name}'`))
   assert.ok(datasetLine, `缺少数据任务 Mock：${name}`)
   assert.match(datasetLine, /source: 'task'/, `${name} 必须标记为数据任务来源`)
+  assert.match(datasetLine, /task_name: '/, `${name} 必须提供来源任务名称`)
 }
 
 assert.match(viewSource, /route\.query\.tab === 'task' \? 'task' : 'upload'/)
@@ -42,7 +44,9 @@ assert.match(
 )
 assert.match(viewSource, /return dataList\.value\.filter\(\(item\) => item\.source !== 'task'\)/)
 assert.doesNotMatch(viewSource, /数据任务产生的数据集[\s\S]*?return \[\]/)
-assert.match(viewSource, /:search-fields="\['task_id', 'name'\]"/, '数据任务搜索应支持任务 ID')
+assert.match(viewSource, /:search-fields="activeTab === 'task' \? \['task_id', 'task_name'\] : \['name'\]"/, '搜索字段应与当前页签展示的名称一致')
+assert.match(viewSource, /activeTab === 'task' \? '训练任务名称' : '数据集名称'/, '数据任务页应展示训练任务名称表头')
+assert.match(viewSource, /activeTab === 'task' \? \(row\.task_name \|\| '-'\) : row\.name/, '数据任务页应展示接口返回的来源任务名称')
 assert.match(viewSource, /formatMegabytes\(row\.size_bytes, row\.size\)/, '数据集大小应统一转换为 MB')
 assert.match(viewSource, /<el-table-column label="版本"/, '描述列应替换为真实版本列')
 assert.doesNotMatch(viewSource, /<el-table-column label="描述"/, '列表不应继续显示描述列')

frontend/src/mock/data.ts

@@ -272,10 +272,10 @@ export const mockDatasets: DatasetItem[] = ([
   { id: 4, name: '金融评测集', type: 'eval', storage_type: 'local', source: 'upload', size: '32 MB', count: 1200, description: '金融领域评测', create_time: '2026-01-10T09:15:00Z' },
   { id: 5, name: '通用能力评测', type: 'eval', storage_type: 'local', source: 'upload', size: '64 MB', count: 3500, description: '通用能力评测数据集', create_time: '2026-01-12T11:30:00Z' },
   { id: 6, name: '医疗问答-训练集', type: 'train', storage_type: 'local', source: 'upload', size: '180 MB', count: 9800, description: '医疗问答对', create_time: '2026-02-01T15:00:00Z' },
-  { id: 7, name: '客服对话清洗集', type: 'train', storage_type: 'minio', source: 'task', task_id: 183921, size: '96 MB', count: 18240, description: '由客服问答数据清洗任务生成', create_time: '2026-07-08T06:28:00Z' },
+  { id: 7, name: '客服对话清洗集', type: 'train', storage_type: 'minio', source: 'task', task_id: 183921, task_name: '客服问答数据清洗任务', size: '96 MB', count: 18240, description: '由客服问答数据清洗任务生成', create_time: '2026-07-08T06:28:00Z' },
-  { id: 8, name: '通用指令构造集', type: 'train', storage_type: 'local', source: 'task', task_id: 492015, size: '148 MB', count: 12600, description: '由指令微调数据构造任务生成', create_time: '2026-07-09T01:42:00Z' },
+  { id: 8, name: '通用指令构造集', type: 'train', storage_type: 'local', source: 'task', task_id: 492015, task_name: '指令微调数据构造任务', size: '148 MB', count: 12600, description: '由指令微调数据构造任务生成', create_time: '2026-07-09T01:42:00Z' },
-  { id: 9, name: '用户反馈脱敏集', type: 'test', storage_type: 'minio', source: 'task', task_id: 731948, size: '72 MB', count: 9340, description: '由敏感信息脱敏任务生成', create_time: '2026-07-09T09:18:00Z' },
+  { id: 9, name: '用户反馈脱敏集', type: 'test', storage_type: 'minio', source: 'task', task_id: 731948, task_name: '敏感信息脱敏任务', size: '72 MB', count: 9340, description: '由敏感信息脱敏任务生成', create_time: '2026-07-09T09:18:00Z' },
-  { id: 10, name: '多轮对话增强集', type: 'eval', storage_type: 'local', source: 'task', task_id: 582012, size: '41 MB', count: 2780, description: '由多轮对话拼接任务生成', create_time: '2026-07-10T02:06:00Z' },
+  { id: 10, name: '多轮对话增强集', type: 'eval', storage_type: 'local', source: 'task', task_id: 582012, task_name: '多轮对话拼接任务', size: '41 MB', count: 2780, description: '由多轮对话拼接任务生成', create_time: '2026-07-10T02:06:00Z' },
 ] satisfies DatasetItem[]).map((dataset) => ({
   ...dataset,
   files: dataset.files?.length

frontend/src/types/index.ts

@@ -80,6 +80,7 @@ export interface DatasetItem {
   storage_type: DatasetStorage | string
   source?: DatasetSource
   task_id?: string | number
+  task_name?: string
   size?: string | number
   size_bytes?: number
   count?: number

frontend/src/views/dataset/DatasetListView.vue

@@ -149,7 +149,7 @@ onMounted(loadData)
     :data="filteredDataList"
     :loading="loading"
     searchable
-    :search-fields="['task_id', 'name']"
+    :search-fields="activeTab === 'task' ? ['task_id', 'task_name'] : ['name']"
     :multi-select="activeTab === 'task' && batchMode"
     :show-batch-bar="false"
     :create-text="activeTab === 'upload' ? '上传数据集' : ''"
@@ -199,7 +199,15 @@ onMounted(loadData)
 
     <template #columns>
       <el-table-column v-if="activeTab === 'task'" label="任务ID" prop="task_id" align="center" width="100" />
-      <el-table-column label="数据集名称" prop="name" align="center" />
+      <el-table-column
+        :label="activeTab === 'task' ? '训练任务名称' : '数据集名称'"
+        align="center"
+        show-overflow-tooltip
+      >
+        <template #default="{ row }">
+          {{ activeTab === 'task' ? (row.task_name || '-') : row.name }}
+        </template>
+      </el-table-column>
       <el-table-column label="数据类型" align="center" width="110">
         <template #default="{ row }">
           <el-tag type="primary" size="small">{{ DATASET_TYPE_MAP[String(row.type).toLowerCase()] || row.type || '-' }}</el-tag>