[
  {
    "id": "train-001",
    "type": "数据查询",
    "input": {
      "query": "查询昨日热门选题的表现数据",
      "metrics": ["view_count", "retention_rate", "engagement"]
    },
    "expected": {
      "topics": [
        {"id": "T001", "name": "霸总重生", "view_count": 150000, "retention_rate": 0.45, "engagement": 8.2},
        {"id": "T002", "name": "甜宠校花", "view_count": 120000, "retention_rate": 0.52, "engagement": 7.8}
      ]
    },
    "evaluation": {
      "data_accuracy": 10,
      "analysis_depth": 8,
      "report_quality": 9,
      "tool_usage": 10
    }
  },
  {
    "id": "train-002",
    "type": "趋势分析",
    "input": {
      "topic": "军事题材",
      "period": "7d",
      "metrics": ["popularity", "growth_rate"]
    },
    "expected": {
      "trend": [
        {"date": "2026-03-21", "popularity": 65},
        {"date": "2026-03-22", "popularity": 68},
        {"date": "2026-03-23", "popularity": 72},
        {"date": "2026-03-24", "popularity": 70},
        {"date": "2026-03-25", "popularity": 75},
        {"date": "2026-03-26", "popularity": 78},
        {"date": "2026-03-27", "popularity": 82}
      ],
      "growth_rate": 0.262
    },
    "evaluation": {
      "data_accuracy": 9,
      "analysis_depth": 9,
      "report_quality": 8,
      "tool_usage": 9
    }
  },
  {
    "id": "train-003",
    "type": "A/B测试分析",
    "input": {
      "experimentId": "exp-20260327-001",
      "variants": ["A", "B"]
    },
    "expected": {
      "variant_a": {"conversion_rate": 0.032, "sample_size": 5000},
      "variant_b": {"conversion_rate": 0.041, "sample_size": 5000},
      "statistical_significance": 0.023,
      "conclusion": "B变体显著优于A (p<0.05)"
    },
    "evaluation": {
      "data_accuracy": 9,
      "analysis_depth": 10,
      "report_quality": 8,
      "tool_usage": 9
    }
  },
  {
    "id": "train-004",
    "type": "用户反馈分析",
    "input": {
      "source": "in-app",
      "dateRange": "2026-03-20~2026-03-27",
      "sentiment": true
    },
    "expected": {
      "total_feedback": 1250,
      "positive_rate": 0.68,
      "negative_rate": 0.15,
      "neutral_rate": 0.17,
      "keywords": ["剧情", "画面", "配音", "流畅"]
    },
    "evaluation": {
      "data_accuracy": 9,
      "analysis_depth": 9,
      "report_quality": 9,
      "tool_usage": 9
    }
  },
  {
    "id": "train-005",
    "type": "报表导出",
    "input": {
      "reportType": "weekly",
      "format": "excel",
      "dateRange": "2026-03-20~2026-03-27"
    },
    "expected": {
      "file_url": "/exports/weekly_report_2026_03_27.xlsx",
      "sheets": ["Overview", "Topics", "Users", "Revenue"]
    },
    "evaluation": {
      "data_accuracy": 10,
      "analysis_depth": 7,
      "report_quality": 8,
      "tool_usage": 10
    }
  },
  {
    "id": "train-006",
    "type": "异常检测",
    "input": {
      "metric": "daily_active_users",
      "threshold": 0.15,
      "period": "24h"
    },
    "expected": {
      "anomaly_detected": true,
      "timestamp": "2026-03-27T14:00:00Z",
      "deviation": 0.22,
      "possible_causes": ["推广活动结束", "竞品上线新功能", "服务器波动"]
    },
    "evaluation": {
      "data_accuracy": 9,
      "analysis_depth": 9,
      "report_quality": 9,
      "tool_usage": 8
    }
  },
  {
    "id": "train-007",
    "type": "竞品对比",
    "input": {
      "competitors": ["app-a", "app-b"],
      "metrics": ["downloads", "revenue", "rating"]
    },
    "expected": {
      "comparison": [
        {"metric": "downloads", "us": 850000, "app_a": 920000, "app_b": 780000},
        {"metric": "revenue", "us": 125000, "app_a": 140000, "app_b": 95000},
        {"metric": "rating", "us": 4.5, "app_a": 4.3, "app_b": 4.6}
      ],
      "gap_analysis": "我们在下载量上落后竞品A 8%，但收入差距较小"
    },
    "evaluation": {
      "data_accuracy": 9,
      "analysis_depth": 9,
      "report_quality": 9,
      "tool_usage": 9
    }
  },
  {
    "id": "train-008",
    "type": "预测分析",
    "input": {
      "topic": "娱乐八卦",
      "forecast_period": "3d",
      "model": "linear_regression"
    },
    "expected": {
      "predictions": [
        {"date": "2026-03-28", "value": 78, "confidence": 0.85},
        {"date": "2026-03-29", "value": 82, "confidence": 0.82},
        {"date": "2026-03-30", "value": 86, "confidence": 0.79}
      ],
      "model_accuracy": 0.87
    },
    "evaluation": {
      "data_accuracy": 8,
      "analysis_depth": 9,
      "report_quality": 8,
      "tool_usage": 8
    }
  }
]