{"question_id": "tabular_000000::difficulty=1-hop", "question": "What is the value of 'ticker' in row 0?", "answer": "BET", "modality": "tabular", "data_id": "finance_stock_prices", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000001::difficulty=1-hop", "question": "What is the value of 'period' in row 0?", "answer": "2023-01-01 00:00:00", "modality": "tabular", "data_id": "finance_stock_prices", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000002::difficulty=1-hop", "question": "What is the value of 'close_price' in row 0?", "answer": "90.21", "modality": "tabular", "data_id": "finance_stock_prices", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000003::difficulty=1-hop", "question": "Which 'ticker' has the highest 'close_price' value?", "answer": "BET", "modality": "tabular", "data_id": "finance_stock_prices", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000004::difficulty=1-hop", "question": "Which 'ticker' has the lowest 'trade_volume_k' value?", "answer": "DLT", "modality": "tabular", "data_id": "finance_stock_prices", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000005::difficulty=1-hop", "question": "Which 'ticker' has the highest 'daily_return_pct' value?", "answer": "CRX", "modality": "tabular", "data_id": "finance_stock_prices", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000006::difficulty=1-hop", "question": "Which 'ticker' has the lowest 'close_price' value?", "answer": "BET", "modality": "tabular", "data_id": "finance_stock_prices", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000007::difficulty=1-hop", "question": "Which 'ticker' has the highest 'trade_volume_k' value?", "answer": "BET", "modality": "tabular", "data_id": "finance_stock_prices", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000008::difficulty=2-hop", "question": "Is 'close_price' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "finance_stock_prices", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000009::difficulty=2-hop", "question": "Is 'trade_volume_k' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "finance_stock_prices", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000010::difficulty=2-hop", "question": "What is the sum of 'close_price' across all rows? Round to 2 decimals.", "answer": "2826.23", "modality": "tabular", "data_id": "finance_stock_prices", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000011::difficulty=2-hop", "question": "How many rows have 'close_price' strictly greater than 119.37?", "answer": "13", "modality": "tabular", "data_id": "finance_stock_prices", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000012::difficulty=2-hop", "question": "What is the average of 'trade_volume_k' across all rows? Round to 2 decimals.", "answer": "2854.92", "modality": "tabular", "data_id": "finance_stock_prices", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000013::difficulty=2-hop", "question": "How many rows have 'trade_volume_k' strictly greater than 3365.8?", "answer": "10", "modality": "tabular", "data_id": "finance_stock_prices", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000014::difficulty=2-hop", "question": "What is the median of 'daily_return_pct' across all rows? Round to 2 decimals.", "answer": "-0.66", "modality": "tabular", "data_id": "finance_stock_prices", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000015::difficulty=3-hop", "question": "Which column has the higher average value: 'close_price' or 'trade_volume_k'?", "answer": "trade_volume_k", "modality": "tabular", "data_id": "finance_stock_prices", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000016::difficulty=3-hop", "question": "Which 'ticker' entry deviates most from the mean of 'close_price'?", "answer": "BET", "modality": "tabular", "data_id": "finance_stock_prices", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000017::difficulty=3-hop", "question": "Do 'close_price' and 'trade_volume_k' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "finance_stock_prices", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000018::difficulty=3-hop", "question": "Which 'ticker' entry deviates most from the mean of 'trade_volume_k'?", "answer": "DLT", "modality": "tabular", "data_id": "finance_stock_prices", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000019::difficulty=3-hop", "question": "Do 'trade_volume_k' and 'daily_return_pct' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "finance_stock_prices", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000020::difficulty=3-hop", "question": "Which 'ticker' entry deviates most from the mean of 'daily_return_pct'?", "answer": "CRX", "modality": "tabular", "data_id": "finance_stock_prices", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000021::difficulty=counterfactual", "question": "If all values in 'close_price' were increased by 10%, would it still exceed 'trade_volume_k' on average?", "answer": "no", "modality": "tabular", "data_id": "finance_stock_prices", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000022::difficulty=counterfactual", "question": "If all values in 'close_price' were multiplied by 1.2, would 'close_price' remain above 'trade_volume_k' on average?", "answer": "yes", "modality": "tabular", "data_id": "finance_stock_prices", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000023::difficulty=counterfactual", "question": "If all values in 'trade_volume_k' were multiplied by 0.85, would 'trade_volume_k' remain above 'daily_return_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "finance_stock_prices", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000024::difficulty=counterfactual", "question": "If all values in 'daily_return_pct' were multiplied by 1.2, would 'daily_return_pct' remain above 'close_price' on average?", "answer": "yes", "modality": "tabular", "data_id": "finance_stock_prices", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Monthly stock activity for a set of listed companies.", "column_descriptions": {"ticker": "Stock ticker symbol.", "period": "Month represented by the row.", "close_price": "End-of-month close price in USD.", "trade_volume_k": "Monthly traded volume in thousands of shares.", "daily_return_pct": "Average daily return percentage in that month.", "market_segment": "Portfolio segment assignment."}}, "data_format": "dataframe_records", "data": [{"ticker": "BET", "period": "2023-01-01T00:00:00.000", "close_price": 90.21, "trade_volume_k": 4342, "daily_return_pct": -0.3, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-02-01T00:00:00.000", "close_price": 102.03, "trade_volume_k": 4226, "daily_return_pct": -0.19, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-03-01T00:00:00.000", "close_price": 105.53, "trade_volume_k": 2490, "daily_return_pct": -2.38, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-04-01T00:00:00.000", "close_price": 94.98, "trade_volume_k": 1945, "daily_return_pct": -2.65, "market_segment": "growth"}, {"ticker": "CRX", "period": "2023-05-01T00:00:00.000", "close_price": 106.81, "trade_volume_k": 2516, "daily_return_pct": 0.52, "market_segment": "income"}, {"ticker": "CRX", "period": "2023-06-01T00:00:00.000", "close_price": 112.42, "trade_volume_k": 3619, "daily_return_pct": 3.75, "market_segment": "growth"}, {"ticker": "DLT", "period": "2023-07-01T00:00:00.000", "close_price": 100.6, "trade_volume_k": 1883, "daily_return_pct": -2.49, "market_segment": "value"}, {"ticker": "BET", "period": "2023-08-01T00:00:00.000", "close_price": 110.69, "trade_volume_k": 1780, "daily_return_pct": -0.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2023-09-01T00:00:00.000", "close_price": 112.94, "trade_volume_k": 3909, "daily_return_pct": -1.15, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-10-01T00:00:00.000", "close_price": 121.18, "trade_volume_k": 3382, "daily_return_pct": -1.12, "market_segment": "value"}, {"ticker": "DLT", "period": "2023-11-01T00:00:00.000", "close_price": 117.82, "trade_volume_k": 826, "daily_return_pct": 3.26, "market_segment": "growth"}, {"ticker": "ALP", "period": "2023-12-01T00:00:00.000", "close_price": 121.4, "trade_volume_k": 3301, "daily_return_pct": 2.57, "market_segment": "value"}, {"ticker": "BET", "period": "2024-01-01T00:00:00.000", "close_price": 119.07, "trade_volume_k": 2406, "daily_return_pct": -3.78, "market_segment": "income"}, {"ticker": "BET", "period": "2024-02-01T00:00:00.000", "close_price": 120.45, "trade_volume_k": 3869, "daily_return_pct": 3.52, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-03-01T00:00:00.000", "close_price": 120.8, "trade_volume_k": 3866, "daily_return_pct": 1.63, "market_segment": "value"}, {"ticker": "BET", "period": "2024-04-01T00:00:00.000", "close_price": 126.42, "trade_volume_k": 1719, "daily_return_pct": -1.55, "market_segment": "value"}, {"ticker": "CRX", "period": "2024-05-01T00:00:00.000", "close_price": 124.68, "trade_volume_k": 1357, "daily_return_pct": -1.01, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-06-01T00:00:00.000", "close_price": 119.92, "trade_volume_k": 4105, "daily_return_pct": -2.65, "market_segment": "income"}, {"ticker": "DLT", "period": "2024-07-01T00:00:00.000", "close_price": 127.47, "trade_volume_k": 3811, "daily_return_pct": 1.27, "market_segment": "value"}, {"ticker": "ALP", "period": "2024-08-01T00:00:00.000", "close_price": 131.16, "trade_volume_k": 995, "daily_return_pct": -2.06, "market_segment": "income"}, {"ticker": "CRX", "period": "2024-09-01T00:00:00.000", "close_price": 129.35, "trade_volume_k": 3882, "daily_return_pct": -1.25, "market_segment": "value"}, {"ticker": "BET", "period": "2024-10-01T00:00:00.000", "close_price": 137.03, "trade_volume_k": 3183, "daily_return_pct": 2.26, "market_segment": "growth"}, {"ticker": "BET", "period": "2024-11-01T00:00:00.000", "close_price": 136.1, "trade_volume_k": 2447, "daily_return_pct": -0.29, "market_segment": "income"}, {"ticker": "BET", "period": "2024-12-01T00:00:00.000", "close_price": 137.17, "trade_volume_k": 2659, "daily_return_pct": -3.26, "market_segment": "income"}], "data_columns": ["ticker", "period", "close_price", "trade_volume_k", "daily_return_pct", "market_segment"], "source": "synthetic"}
{"question_id": "tabular_000025::difficulty=1-hop", "question": "What is the value of 'business_unit' in row 0?", "answer": "cloud", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000026::difficulty=1-hop", "question": "What is the value of 'quarter_start' in row 0?", "answer": "2021-01-01 00:00:00", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000027::difficulty=1-hop", "question": "What is the value of 'revenue_musd' in row 0?", "answer": "380.21", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000028::difficulty=1-hop", "question": "Which 'business_unit' has the highest 'revenue_musd' value?", "answer": "services", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000029::difficulty=1-hop", "question": "Which 'business_unit' has the lowest 'operating_margin_pct' value?", "answer": "services", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000030::difficulty=1-hop", "question": "Which 'business_unit' has the highest 'opex_musd' value?", "answer": "ads", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000031::difficulty=1-hop", "question": "Which 'business_unit' has the lowest 'revenue_musd' value?", "answer": "cloud", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000032::difficulty=2-hop", "question": "Is 'revenue_musd' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000033::difficulty=2-hop", "question": "Is 'operating_margin_pct' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000034::difficulty=2-hop", "question": "What is the sum of 'revenue_musd' across all rows? Round to 2 decimals.", "answer": "6132.62", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000035::difficulty=2-hop", "question": "How many rows have 'revenue_musd' strictly greater than 311.75?", "answer": "11", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000036::difficulty=2-hop", "question": "What is the average of 'operating_margin_pct' across all rows? Round to 2 decimals.", "answer": "16.19", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000037::difficulty=2-hop", "question": "How many rows have 'operating_margin_pct' strictly greater than 17.5?", "answer": "8", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000038::difficulty=2-hop", "question": "What is the median of 'opex_musd' across all rows? Round to 2 decimals.", "answer": "102.62", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000039::difficulty=2-hop", "question": "How many rows have 'opex_musd' strictly greater than 100.93?", "answer": "10", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000040::difficulty=3-hop", "question": "Which column has the higher average value: 'revenue_musd' or 'operating_margin_pct'?", "answer": "revenue_musd", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000041::difficulty=3-hop", "question": "Which 'business_unit' entry deviates most from the mean of 'revenue_musd'?", "answer": "cloud", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000042::difficulty=3-hop", "question": "Do 'revenue_musd' and 'operating_margin_pct' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000043::difficulty=3-hop", "question": "Which 'business_unit' entry deviates most from the mean of 'operating_margin_pct'?", "answer": "services", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000044::difficulty=3-hop", "question": "Do 'operating_margin_pct' and 'opex_musd' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000045::difficulty=3-hop", "question": "Which 'business_unit' entry deviates most from the mean of 'opex_musd'?", "answer": "services", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000046::difficulty=counterfactual", "question": "If all values in 'revenue_musd' were increased by 10%, would it still exceed 'operating_margin_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000047::difficulty=counterfactual", "question": "If all values in 'revenue_musd' were multiplied by 1.2, would 'revenue_musd' remain above 'operating_margin_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000048::difficulty=counterfactual", "question": "If all values in 'operating_margin_pct' were multiplied by 0.85, would 'operating_margin_pct' remain above 'opex_musd' on average?", "answer": "yes", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000049::difficulty=counterfactual", "question": "If all values in 'opex_musd' were multiplied by 1.2, would 'opex_musd' remain above 'revenue_musd' on average?", "answer": "yes", "modality": "tabular", "data_id": "finance_revenue_mix", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "finance", "description": "Quarterly revenue and margin observations by business unit.", "column_descriptions": {"business_unit": "Revenue-generating business unit.", "quarter_start": "Quarter start date.", "revenue_musd": "Revenue in million USD.", "operating_margin_pct": "Operating margin percentage.", "opex_musd": "Operating expenses in million USD.", "region": "Primary region for the revenue mix."}}, "data_format": "dataframe_records", "data": [{"business_unit": "cloud", "quarter_start": "2021-01-01T00:00:00.000", "revenue_musd": 380.21, "operating_margin_pct": 25.9, "opex_musd": 121.69, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2021-04-01T00:00:00.000", "revenue_musd": 346.27, "operating_margin_pct": 14.15, "opex_musd": 99.59, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2021-07-01T00:00:00.000", "revenue_musd": 312.17, "operating_margin_pct": 11.43, "opex_musd": 114.05, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2021-10-01T00:00:00.000", "revenue_musd": 214.0, "operating_margin_pct": 19.17, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2022-01-01T00:00:00.000", "revenue_musd": 211.93, "operating_margin_pct": 20.92, "opex_musd": 106.17, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2022-04-01T00:00:00.000", "revenue_musd": 279.89, "operating_margin_pct": 21.44, "opex_musd": 86.53, "region": "NA"}, {"business_unit": "cloud", "quarter_start": "2022-07-01T00:00:00.000", "revenue_musd": 286.32, "operating_margin_pct": 10.48, "opex_musd": 108.1, "region": "LATAM"}, {"business_unit": "devices", "quarter_start": "2022-10-01T00:00:00.000", "revenue_musd": 325.62, "operating_margin_pct": 21.75, "opex_musd": 89.49, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-01-01T00:00:00.000", "revenue_musd": 462.78, "operating_margin_pct": 6.27, "opex_musd": 104.3, "region": "LATAM"}, {"business_unit": "services", "quarter_start": "2023-04-01T00:00:00.000", "revenue_musd": 348.06, "operating_margin_pct": 15.9, "opex_musd": 100.93, "region": "EU"}, {"business_unit": "services", "quarter_start": "2023-07-01T00:00:00.000", "revenue_musd": 311.24, "operating_margin_pct": 18.24, "opex_musd": 72.05, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2023-10-01T00:00:00.000", "revenue_musd": 120.0, "operating_margin_pct": 17.01, "opex_musd": 119.3, "region": "NA"}, {"business_unit": "services", "quarter_start": "2024-01-01T00:00:00.000", "revenue_musd": 271.7, "operating_margin_pct": 7.53, "opex_musd": 105.88, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2024-04-01T00:00:00.000", "revenue_musd": 290.5, "operating_margin_pct": 14.25, "opex_musd": 121.79, "region": "EU"}, {"business_unit": "devices", "quarter_start": "2024-07-01T00:00:00.000", "revenue_musd": 329.79, "operating_margin_pct": 18.62, "opex_musd": 87.8, "region": "EU"}, {"business_unit": "cloud", "quarter_start": "2024-10-01T00:00:00.000", "revenue_musd": 264.86, "operating_margin_pct": 12.47, "opex_musd": 95.76, "region": "NA"}, {"business_unit": "devices", "quarter_start": "2025-01-01T00:00:00.000", "revenue_musd": 360.03, "operating_margin_pct": 14.81, "opex_musd": 119.0, "region": "LATAM"}, {"business_unit": "ads", "quarter_start": "2025-04-01T00:00:00.000", "revenue_musd": 327.76, "operating_margin_pct": 25.87, "opex_musd": 124.3, "region": "APAC"}, {"business_unit": "ads", "quarter_start": "2025-07-01T00:00:00.000", "revenue_musd": 318.7, "operating_margin_pct": 16.04, "opex_musd": 95.11, "region": "LATAM"}, {"business_unit": "cloud", "quarter_start": "2025-10-01T00:00:00.000", "revenue_musd": 370.79, "operating_margin_pct": 11.47, "opex_musd": 96.31, "region": "APAC"}], "data_columns": ["business_unit", "quarter_start", "revenue_musd", "operating_margin_pct", "opex_musd", "region"], "source": "synthetic"}
{"question_id": "tabular_000050::difficulty=1-hop", "question": "What is the value of 'patient_group' in row 0?", "answer": "A", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, 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"2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000051::difficulty=1-hop", "question": "What is the value of 'week' in row 0?", "answer": "2024-01-07 00:00:00", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, 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"2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000052::difficulty=1-hop", "question": "What is the value of 'heart_rate_bpm' in row 0?", "answer": "71.8", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, 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{"question_id": "tabular_000053::difficulty=1-hop", "question": "Which 'patient_group' has the highest 'heart_rate_bpm' value?", "answer": "C", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, 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"2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, 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{"question_id": "tabular_000054::difficulty=1-hop", "question": "Which 'patient_group' has the lowest 'systolic_bp' value?", "answer": "A", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000055::difficulty=1-hop", "question": "Which 'patient_group' has the highest 'glucose_mg_dl' value?", "answer": "D", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, 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{"question_id": "tabular_000056::difficulty=1-hop", "question": "Which 'patient_group' has the lowest 'heart_rate_bpm' value?", "answer": "C", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000057::difficulty=1-hop", "question": "Which 'patient_group' has the highest 'systolic_bp' value?", "answer": "D", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000058::difficulty=2-hop", "question": "Is 'heart_rate_bpm' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000059::difficulty=2-hop", "question": "Is 'systolic_bp' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000060::difficulty=2-hop", "question": "What is the sum of 'heart_rate_bpm' across all rows? Round to 2 decimals.", "answer": "2294.0", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000061::difficulty=2-hop", "question": "How many rows have 'heart_rate_bpm' strictly greater than 76.94?", "answer": "16", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000062::difficulty=2-hop", "question": "What is the average of 'systolic_bp' across all rows? Round to 2 decimals.", "answer": "122.73", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000063::difficulty=2-hop", "question": "How many rows have 'systolic_bp' strictly greater than 124.52?", "answer": "12", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000064::difficulty=2-hop", "question": "What is the median of 'glucose_mg_dl' across all rows? Round to 2 decimals.", "answer": "102.15", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000065::difficulty=3-hop", "question": "Which column has the higher average value: 'heart_rate_bpm' or 'systolic_bp'?", "answer": "systolic_bp", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000066::difficulty=3-hop", "question": "Which 'patient_group' entry deviates most from the mean of 'heart_rate_bpm'?", "answer": "C", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000067::difficulty=3-hop", "question": "Do 'heart_rate_bpm' and 'systolic_bp' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000068::difficulty=3-hop", "question": "Which 'patient_group' entry deviates most from the mean of 'systolic_bp'?", "answer": "D", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000069::difficulty=3-hop", "question": "Do 'systolic_bp' and 'glucose_mg_dl' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000070::difficulty=3-hop", "question": "Which 'patient_group' entry deviates most from the mean of 'glucose_mg_dl'?", "answer": "A", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", "heart_rate_bpm": 82.4, "systolic_bp": 139.9, "glucose_mg_dl": 103.3, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-21T00:00:00.000", "heart_rate_bpm": 63.6, "systolic_bp": 108.9, "glucose_mg_dl": 127.0, "risk_band": "low"}, {"patient_group": "C", "week": "2024-07-28T00:00:00.000", "heart_rate_bpm": 88.1, "systolic_bp": 118.2, "glucose_mg_dl": 103.7, "risk_band": "high"}], "data_columns": ["patient_group", "week", "heart_rate_bpm", "systolic_bp", "glucose_mg_dl", "risk_band"], "source": "synthetic"}
{"question_id": "tabular_000071::difficulty=counterfactual", "question": "If all values in 'heart_rate_bpm' were increased by 10%, would it still exceed 'systolic_bp' on average?", "answer": "no", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": "2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", "week": "2024-07-14T00:00:00.000", 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{"question_id": "tabular_000072::difficulty=counterfactual", "question": "If all values in 'heart_rate_bpm' were multiplied by 1.2, would 'heart_rate_bpm' remain above 'systolic_bp' on average?", "answer": "yes", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": 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"risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 66.1, "systolic_bp": 125.8, "glucose_mg_dl": 134.2, "risk_band": "high"}, {"patient_group": "C", "week": "2024-06-02T00:00:00.000", "heart_rate_bpm": 72.0, "systolic_bp": 124.7, "glucose_mg_dl": 103.5, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-06-09T00:00:00.000", "heart_rate_bpm": 82.7, "systolic_bp": 122.8, "glucose_mg_dl": 136.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-16T00:00:00.000", "heart_rate_bpm": 85.7, "systolic_bp": 128.9, "glucose_mg_dl": 111.6, "risk_band": "low"}, {"patient_group": "C", "week": "2024-06-23T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 109.5, "glucose_mg_dl": 101.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-06-30T00:00:00.000", "heart_rate_bpm": 78.5, "systolic_bp": 125.6, "glucose_mg_dl": 102.7, "risk_band": "medium"}, {"patient_group": "C", "week": "2024-07-07T00:00:00.000", "heart_rate_bpm": 65.0, "systolic_bp": 117.5, "glucose_mg_dl": 127.1, "risk_band": "high"}, {"patient_group": "D", 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{"question_id": "tabular_000073::difficulty=counterfactual", "question": "If all values in 'systolic_bp' were multiplied by 0.85, would 'systolic_bp' remain above 'glucose_mg_dl' on average?", "answer": "yes", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, "glucose_mg_dl": 54.9, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-01-14T00:00:00.000", "heart_rate_bpm": 83.5, "systolic_bp": 122.7, "glucose_mg_dl": 121.6, "risk_band": "high"}, {"patient_group": "C", "week": "2024-01-21T00:00:00.000", "heart_rate_bpm": 85.1, "systolic_bp": 111.2, "glucose_mg_dl": 95.5, "risk_band": "low"}, {"patient_group": "A", "week": "2024-01-28T00:00:00.000", "heart_rate_bpm": 70.3, "systolic_bp": 134.4, "glucose_mg_dl": 86.9, "risk_band": "low"}, {"patient_group": "D", "week": "2024-02-04T00:00:00.000", "heart_rate_bpm": 70.1, "systolic_bp": 142.6, "glucose_mg_dl": 130.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-11T00:00:00.000", "heart_rate_bpm": 77.6, "systolic_bp": 109.0, "glucose_mg_dl": 107.1, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-02-18T00:00:00.000", "heart_rate_bpm": 76.9, "systolic_bp": 117.5, "glucose_mg_dl": 78.3, "risk_band": "medium"}, {"patient_group": "A", "week": 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"risk_band": "low"}, {"patient_group": "C", "week": "2024-04-14T00:00:00.000", "heart_rate_bpm": 73.0, "systolic_bp": 120.1, "glucose_mg_dl": 93.3, "risk_band": "high"}, {"patient_group": "C", "week": "2024-04-21T00:00:00.000", "heart_rate_bpm": 95.4, "systolic_bp": 118.0, "glucose_mg_dl": 87.6, "risk_band": "medium"}, {"patient_group": "B", "week": "2024-04-28T00:00:00.000", "heart_rate_bpm": 77.7, "systolic_bp": 138.8, "glucose_mg_dl": 109.1, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-05T00:00:00.000", "heart_rate_bpm": 62.9, "systolic_bp": 134.6, "glucose_mg_dl": 96.7, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-12T00:00:00.000", "heart_rate_bpm": 84.9, "systolic_bp": 131.8, "glucose_mg_dl": 98.3, "risk_band": "medium"}, {"patient_group": "D", "week": "2024-05-19T00:00:00.000", "heart_rate_bpm": 65.8, "systolic_bp": 122.3, "glucose_mg_dl": 74.4, "risk_band": "low"}, {"patient_group": "C", "week": "2024-05-26T00:00:00.000", "heart_rate_bpm": 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{"question_id": "tabular_000074::difficulty=counterfactual", "question": "If all values in 'glucose_mg_dl' were multiplied by 1.2, would 'glucose_mg_dl' remain above 'heart_rate_bpm' on average?", "answer": "yes", "modality": "tabular", "data_id": "healthcare_patient_vitals", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Weekly aggregate patient vital signs from outpatient monitoring.", "column_descriptions": {"patient_group": "An anonymized patient cohort.", "week": "Observation week.", "heart_rate_bpm": "Average heart rate in beats per minute.", "systolic_bp": "Average systolic blood pressure.", "glucose_mg_dl": "Average blood glucose level.", "risk_band": "Clinical risk grouping."}}, "data_format": "dataframe_records", "data": [{"patient_group": "A", "week": "2024-01-07T00:00:00.000", "heart_rate_bpm": 71.8, "systolic_bp": 118.5, 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"2024-02-25T00:00:00.000", "heart_rate_bpm": 81.5, "systolic_bp": 105.0, "glucose_mg_dl": 111.5, "risk_band": "high"}, {"patient_group": "B", "week": "2024-03-03T00:00:00.000", "heart_rate_bpm": 71.5, "systolic_bp": 124.4, "glucose_mg_dl": 110.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-10T00:00:00.000", "heart_rate_bpm": 74.7, "systolic_bp": 122.7, "glucose_mg_dl": 98.8, "risk_band": "low"}, {"patient_group": "C", "week": "2024-03-17T00:00:00.000", "heart_rate_bpm": 78.1, "systolic_bp": 131.7, "glucose_mg_dl": 67.8, "risk_band": "high"}, {"patient_group": "A", "week": "2024-03-24T00:00:00.000", "heart_rate_bpm": 78.8, "systolic_bp": 119.4, "glucose_mg_dl": 56.7, "risk_band": "high"}, {"patient_group": "D", "week": "2024-03-31T00:00:00.000", "heart_rate_bpm": 85.3, "systolic_bp": 107.2, "glucose_mg_dl": 81.3, "risk_band": "high"}, {"patient_group": "A", "week": "2024-04-07T00:00:00.000", "heart_rate_bpm": 63.5, "systolic_bp": 128.2, "glucose_mg_dl": 62.6, 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{"question_id": "tabular_000075::difficulty=1-hop", "question": "What is the value of 'clinic' in row 0?", "answer": "south", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000076::difficulty=1-hop", "question": "What is the value of 'test_date' in row 0?", "answer": "2024-02-01 00:00:00", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000077::difficulty=1-hop", "question": "What is the value of 'hemoglobin_g_dl' in row 0?", "answer": "14.81", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000078::difficulty=1-hop", "question": "Which 'clinic' has the highest 'hemoglobin_g_dl' value?", "answer": "west", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000079::difficulty=1-hop", "question": "Which 'clinic' has the lowest 'ldl_mg_dl' value?", "answer": "north", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000080::difficulty=1-hop", "question": "Which 'clinic' has the highest 'creatinine_mg_dl' value?", "answer": "west", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000081::difficulty=1-hop", "question": "Which 'clinic' has the lowest 'hemoglobin_g_dl' value?", "answer": "west", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000082::difficulty=2-hop", "question": "Is 'hemoglobin_g_dl' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000083::difficulty=2-hop", "question": "Is 'ldl_mg_dl' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000084::difficulty=2-hop", "question": "What is the sum of 'hemoglobin_g_dl' across all rows? Round to 2 decimals.", "answer": "255.1", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000085::difficulty=2-hop", "question": "How many rows have 'hemoglobin_g_dl' strictly greater than 13.85?", "answer": "9", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000086::difficulty=2-hop", "question": "What is the average of 'ldl_mg_dl' across all rows? Round to 2 decimals.", "answer": "105.55", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000087::difficulty=2-hop", "question": "How many rows have 'ldl_mg_dl' strictly greater than 117.47?", "answer": "7", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000088::difficulty=2-hop", "question": "What is the median of 'creatinine_mg_dl' across all rows? Round to 2 decimals.", "answer": "1.04", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000089::difficulty=2-hop", "question": "How many rows have 'creatinine_mg_dl' strictly greater than 1.01?", "answer": "10", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000090::difficulty=3-hop", "question": "Which column has the higher average value: 'hemoglobin_g_dl' or 'ldl_mg_dl'?", "answer": "ldl_mg_dl", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000091::difficulty=3-hop", "question": "Which 'clinic' entry deviates most from the mean of 'hemoglobin_g_dl'?", "answer": "west", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000092::difficulty=3-hop", "question": "Do 'hemoglobin_g_dl' and 'ldl_mg_dl' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000093::difficulty=3-hop", "question": "Which 'clinic' entry deviates most from the mean of 'ldl_mg_dl'?", "answer": "west", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000094::difficulty=3-hop", "question": "Do 'ldl_mg_dl' and 'creatinine_mg_dl' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000095::difficulty=3-hop", "question": "Which 'clinic' entry deviates most from the mean of 'creatinine_mg_dl'?", "answer": "south", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000096::difficulty=counterfactual", "question": "If all values in 'hemoglobin_g_dl' were increased by 10%, would it still exceed 'ldl_mg_dl' on average?", "answer": "no", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000097::difficulty=counterfactual", "question": "If all values in 'hemoglobin_g_dl' were multiplied by 1.2, would 'hemoglobin_g_dl' remain above 'ldl_mg_dl' on average?", "answer": "yes", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000098::difficulty=counterfactual", "question": "If all values in 'ldl_mg_dl' were multiplied by 0.85, would 'ldl_mg_dl' remain above 'creatinine_mg_dl' on average?", "answer": "yes", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000099::difficulty=counterfactual", "question": "If all values in 'creatinine_mg_dl' were multiplied by 1.2, would 'creatinine_mg_dl' remain above 'hemoglobin_g_dl' on average?", "answer": "yes", "modality": "tabular", "data_id": "healthcare_lab_results", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "healthcare", "description": "Routine laboratory panel results across clinics.", "column_descriptions": {"clinic": "Clinic where the panel was processed.", "test_date": "Date of test panel.", "hemoglobin_g_dl": "Hemoglobin concentration.", "ldl_mg_dl": "Low-density lipoprotein value.", "creatinine_mg_dl": "Creatinine measurement.", "lab_flag": "Clinical interpretation of panel status."}}, "data_format": "dataframe_records", "data": [{"clinic": "south", "test_date": "2024-02-01T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 138.84, "creatinine_mg_dl": 1.12, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-02T00:00:00.000", "hemoglobin_g_dl": 16.1, "ldl_mg_dl": 124.06, "creatinine_mg_dl": 0.51, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-03T00:00:00.000", "hemoglobin_g_dl": 14.81, "ldl_mg_dl": 117.36, "creatinine_mg_dl": 0.88, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-04T00:00:00.000", "hemoglobin_g_dl": 13.63, "ldl_mg_dl": 83.45, "creatinine_mg_dl": 1.06, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-05T00:00:00.000", "hemoglobin_g_dl": 14.85, "ldl_mg_dl": 158.35, "creatinine_mg_dl": 0.97, "lab_flag": "critical"}, {"clinic": "north", "test_date": "2024-02-06T00:00:00.000", "hemoglobin_g_dl": 13.67, "ldl_mg_dl": 57.73, "creatinine_mg_dl": 1.27, "lab_flag": "borderline"}, {"clinic": "north", "test_date": "2024-02-07T00:00:00.000", "hemoglobin_g_dl": 13.2, "ldl_mg_dl": 124.22, "creatinine_mg_dl": 1.17, "lab_flag": "normal"}, {"clinic": "west", "test_date": "2024-02-08T00:00:00.000", "hemoglobin_g_dl": 16.23, "ldl_mg_dl": 106.71, "creatinine_mg_dl": 0.75, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-09T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 159.97, "creatinine_mg_dl": 1.4, "lab_flag": "critical"}, {"clinic": "west", "test_date": "2024-02-10T00:00:00.000", "hemoglobin_g_dl": 12.02, "ldl_mg_dl": 82.93, "creatinine_mg_dl": 1.03, "lab_flag": "borderline"}, {"clinic": "west", "test_date": "2024-02-11T00:00:00.000", "hemoglobin_g_dl": 10.94, "ldl_mg_dl": 71.28, "creatinine_mg_dl": 0.79, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-12T00:00:00.000", "hemoglobin_g_dl": 13.6, "ldl_mg_dl": 98.19, "creatinine_mg_dl": 1.34, "lab_flag": "normal"}, {"clinic": "north", "test_date": "2024-02-13T00:00:00.000", "hemoglobin_g_dl": 14.82, "ldl_mg_dl": 100.55, "creatinine_mg_dl": 1.4, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-14T00:00:00.000", "hemoglobin_g_dl": 15.01, "ldl_mg_dl": 63.62, "creatinine_mg_dl": 1.26, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-15T00:00:00.000", "hemoglobin_g_dl": 13.85, "ldl_mg_dl": 108.71, "creatinine_mg_dl": 0.66, "lab_flag": "critical"}, {"clinic": "south", "test_date": "2024-02-16T00:00:00.000", "hemoglobin_g_dl": 12.28, "ldl_mg_dl": 117.91, "creatinine_mg_dl": 0.9, "lab_flag": "borderline"}, {"clinic": "south", "test_date": "2024-02-17T00:00:00.000", "hemoglobin_g_dl": 15.81, "ldl_mg_dl": 65.64, "creatinine_mg_dl": 1.19, "lab_flag": "critical"}, {"clinic": "east", "test_date": "2024-02-18T00:00:00.000", "hemoglobin_g_dl": 15.62, "ldl_mg_dl": 120.43, "creatinine_mg_dl": 0.94, "lab_flag": "critical"}], "data_columns": ["clinic", "test_date", "hemoglobin_g_dl", "ldl_mg_dl", "creatinine_mg_dl", "lab_flag"], "source": "synthetic"}
{"question_id": "tabular_000100::difficulty=1-hop", "question": "What is the value of 'classroom' in row 0?", "answer": "10B", "modality": "tabular", "data_id": "education_student_scores", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000101::difficulty=1-hop", "question": "What is the value of 'exam_date' in row 0?", "answer": "2024-03-15 00:00:00", "modality": "tabular", "data_id": "education_student_scores", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000102::difficulty=1-hop", "question": "What is the value of 'math_score' in row 0?", "answer": "81.0", "modality": "tabular", "data_id": "education_student_scores", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000103::difficulty=1-hop", "question": "Which 'classroom' has the highest 'math_score' value?", "answer": "10B", "modality": "tabular", "data_id": "education_student_scores", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000104::difficulty=1-hop", "question": "Which 'classroom' has the lowest 'science_score' value?", "answer": "9B", "modality": "tabular", "data_id": "education_student_scores", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000105::difficulty=1-hop", "question": "Which 'classroom' has the highest 'reading_score' value?", "answer": "9A", "modality": "tabular", "data_id": "education_student_scores", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000106::difficulty=1-hop", "question": "Which 'classroom' has the lowest 'math_score' value?", "answer": "10B", "modality": "tabular", "data_id": "education_student_scores", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000107::difficulty=1-hop", "question": "Which 'classroom' has the highest 'science_score' value?", "answer": "9B", "modality": "tabular", "data_id": "education_student_scores", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000108::difficulty=2-hop", "question": "Is 'math_score' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "education_student_scores", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000109::difficulty=2-hop", "question": "Is 'science_score' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "education_student_scores", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000110::difficulty=2-hop", "question": "What is the sum of 'math_score' across all rows? Round to 2 decimals.", "answer": "1970.7", "modality": "tabular", "data_id": "education_student_scores", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000111::difficulty=2-hop", "question": "How many rows have 'math_score' strictly greater than 76.03?", "answer": "14", "modality": "tabular", "data_id": "education_student_scores", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000112::difficulty=2-hop", "question": "What is the average of 'science_score' across all rows? Round to 2 decimals.", "answer": "77.33", "modality": "tabular", "data_id": "education_student_scores", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000113::difficulty=2-hop", "question": "How many rows have 'science_score' strictly greater than 82.2?", "answer": "10", "modality": "tabular", "data_id": "education_student_scores", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000114::difficulty=2-hop", "question": "What is the median of 'reading_score' across all rows? Round to 2 decimals.", "answer": "79.05", "modality": "tabular", "data_id": "education_student_scores", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000115::difficulty=3-hop", "question": "Which column has the higher average value: 'math_score' or 'science_score'?", "answer": "science_score", "modality": "tabular", "data_id": "education_student_scores", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000116::difficulty=3-hop", "question": "Which 'classroom' entry deviates most from the mean of 'math_score'?", "answer": "10B", "modality": "tabular", "data_id": "education_student_scores", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000117::difficulty=3-hop", "question": "Do 'math_score' and 'science_score' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "education_student_scores", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000118::difficulty=3-hop", "question": "Which 'classroom' entry deviates most from the mean of 'science_score'?", "answer": "9B", "modality": "tabular", "data_id": "education_student_scores", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000119::difficulty=3-hop", "question": "Do 'science_score' and 'reading_score' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "education_student_scores", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000120::difficulty=3-hop", "question": "Which 'classroom' entry deviates most from the mean of 'reading_score'?", "answer": "9A", "modality": "tabular", "data_id": "education_student_scores", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-02T00:00:00.000", "math_score": 86.1, "science_score": 77.1, "reading_score": 83.0, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-08-09T00:00:00.000", "math_score": 76.2, "science_score": 73.2, "reading_score": 80.3, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-08-16T00:00:00.000", "math_score": 68.6, "science_score": 90.3, "reading_score": 79.2, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-08-23T00:00:00.000", "math_score": 87.1, "science_score": 85.4, "reading_score": 74.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-08-30T00:00:00.000", "math_score": 70.5, "science_score": 75.3, "reading_score": 84.3, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-09-06T00:00:00.000", "math_score": 67.2, "science_score": 74.3, "reading_score": 86.3, "support_program": "tutoring"}], "data_columns": ["classroom", "exam_date", "math_score", "science_score", "reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000121::difficulty=counterfactual", "question": "If all values in 'math_score' were increased by 10%, would it still exceed 'science_score' on average?", "answer": "yes", "modality": "tabular", "data_id": "education_student_scores", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-21T00:00:00.000", "math_score": 75.8, "science_score": 85.3, "reading_score": 100.0, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-06-28T00:00:00.000", "math_score": 92.7, "science_score": 77.8, "reading_score": 78.0, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-07-05T00:00:00.000", "math_score": 77.6, "science_score": 83.2, "reading_score": 87.6, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-07-12T00:00:00.000", "math_score": 71.4, "science_score": 72.4, "reading_score": 78.9, "support_program": "lab"}, {"classroom": "9A", "exam_date": "2024-07-19T00:00:00.000", "math_score": 58.9, "science_score": 59.8, "reading_score": 73.9, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-07-26T00:00:00.000", "math_score": 35.0, "science_score": 75.4, "reading_score": 73.8, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": 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"reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000122::difficulty=counterfactual", "question": "If all values in 'math_score' were multiplied by 1.2, would 'math_score' remain above 'science_score' on average?", "answer": "no", "modality": "tabular", "data_id": "education_student_scores", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-03-22T00:00:00.000", "math_score": 76.0, "science_score": 64.5, "reading_score": 75.4, "support_program": "lab"}, {"classroom": "9B", "exam_date": "2024-03-29T00:00:00.000", "math_score": 67.5, "science_score": 97.3, "reading_score": 91.7, "support_program": "none"}, {"classroom": "9B", "exam_date": "2024-04-05T00:00:00.000", "math_score": 61.7, "science_score": 84.7, "reading_score": 90.7, "support_program": "tutoring"}, {"classroom": "10A", "exam_date": "2024-04-12T00:00:00.000", "math_score": 69.6, "science_score": 64.3, "reading_score": 64.0, "support_program": "tutoring"}, {"classroom": "10B", "exam_date": "2024-04-19T00:00:00.000", "math_score": 96.7, "science_score": 84.7, "reading_score": 94.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-04-26T00:00:00.000", "math_score": 87.7, "science_score": 73.5, "reading_score": 69.5, "support_program": "lab"}, {"classroom": "10B", "exam_date": "2024-05-03T00:00:00.000", "math_score": 76.1, "science_score": 90.0, "reading_score": 66.0, "support_program": "tutoring"}, {"classroom": "9A", "exam_date": "2024-05-10T00:00:00.000", "math_score": 89.6, "science_score": 82.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-17T00:00:00.000", "math_score": 82.9, "science_score": 79.6, "reading_score": 85.9, "support_program": "tutoring"}, {"classroom": "9B", "exam_date": "2024-05-24T00:00:00.000", "math_score": 83.7, "science_score": 49.2, "reading_score": 70.8, "support_program": "none"}, {"classroom": "10B", "exam_date": "2024-05-31T00:00:00.000", "math_score": 76.9, "science_score": 90.9, "reading_score": 78.0, "support_program": "none"}, {"classroom": "9A", "exam_date": "2024-06-07T00:00:00.000", "math_score": 72.5, "science_score": 89.5, "reading_score": 79.8, "support_program": "lab"}, {"classroom": "10A", "exam_date": "2024-06-14T00:00:00.000", "math_score": 81.7, "science_score": 63.6, "reading_score": 85.1, 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"reading_score", "support_program"], "source": "synthetic"}
{"question_id": "tabular_000123::difficulty=counterfactual", "question": "If all values in 'science_score' were multiplied by 0.85, would 'science_score' remain above 'reading_score' on average?", "answer": "yes", "modality": "tabular", "data_id": "education_student_scores", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": 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{"question_id": "tabular_000124::difficulty=counterfactual", "question": "If all values in 'reading_score' were multiplied by 1.2, would 'reading_score' remain above 'math_score' on average?", "answer": "yes", "modality": "tabular", "data_id": "education_student_scores", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Assessment outcomes across school classrooms.", "column_descriptions": {"classroom": "Student classroom section.", "exam_date": "Date of classroom assessment.", "math_score": "Average math score.", "science_score": "Average science score.", "reading_score": "Average reading score.", "support_program": "Instructional support track."}}, "data_format": "dataframe_records", "data": [{"classroom": "10B", "exam_date": "2024-03-15T00:00:00.000", "math_score": 81.0, "science_score": 67.1, "reading_score": 75.4, "support_program": 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{"question_id": "tabular_000125::difficulty=1-hop", "question": "What is the value of 'school' in row 0?", "answer": "central_high", "modality": "tabular", "data_id": "education_attendance", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000126::difficulty=1-hop", "question": "What is the value of 'month' in row 0?", "answer": "2023-09-01 00:00:00", "modality": "tabular", "data_id": "education_attendance", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000127::difficulty=1-hop", "question": "What is the value of 'attendance_pct' in row 0?", "answer": "95.17", "modality": "tabular", "data_id": "education_attendance", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000128::difficulty=1-hop", "question": "Which 'school' has the highest 'attendance_pct' value?", "answer": "central_high", "modality": "tabular", "data_id": "education_attendance", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000129::difficulty=1-hop", "question": "Which 'school' has the lowest 'late_arrivals' value?", "answer": "central_high", "modality": "tabular", "data_id": "education_attendance", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000130::difficulty=1-hop", "question": "Which 'school' has the highest 'disciplinary_events' value?", "answer": "central_high", "modality": "tabular", "data_id": "education_attendance", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000131::difficulty=1-hop", "question": "Which 'school' has the lowest 'attendance_pct' value?", "answer": "north_high", "modality": "tabular", "data_id": "education_attendance", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000132::difficulty=2-hop", "question": "Is 'attendance_pct' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "education_attendance", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000133::difficulty=2-hop", "question": "Is 'late_arrivals' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "education_attendance", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000134::difficulty=2-hop", "question": "What is the sum of 'attendance_pct' across all rows? Round to 2 decimals.", "answer": "2042.3", "modality": "tabular", "data_id": "education_attendance", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000135::difficulty=2-hop", "question": "How many rows have 'attendance_pct' strictly greater than 92.04?", "answer": "12", "modality": "tabular", "data_id": "education_attendance", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000136::difficulty=2-hop", "question": "What is the average of 'late_arrivals' across all rows? Round to 2 decimals.", "answer": "41.91", "modality": "tabular", "data_id": "education_attendance", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000137::difficulty=2-hop", "question": "How many rows have 'late_arrivals' strictly greater than 51.6?", "answer": "9", "modality": "tabular", "data_id": "education_attendance", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000138::difficulty=2-hop", "question": "What is the median of 'disciplinary_events' across all rows? Round to 2 decimals.", "answer": "9.0", "modality": "tabular", "data_id": "education_attendance", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000139::difficulty=2-hop", "question": "How many rows have 'disciplinary_events' strictly greater than 8.45?", "answer": "12", "modality": "tabular", "data_id": "education_attendance", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000140::difficulty=3-hop", "question": "Which column has the higher average value: 'attendance_pct' or 'late_arrivals'?", "answer": "attendance_pct", "modality": "tabular", "data_id": "education_attendance", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000141::difficulty=3-hop", "question": "Which 'school' entry deviates most from the mean of 'attendance_pct'?", "answer": "north_high", "modality": "tabular", "data_id": "education_attendance", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000142::difficulty=3-hop", "question": "Do 'attendance_pct' and 'late_arrivals' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "education_attendance", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000143::difficulty=3-hop", "question": "Which 'school' entry deviates most from the mean of 'late_arrivals'?", "answer": "central_high", "modality": "tabular", "data_id": "education_attendance", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000144::difficulty=3-hop", "question": "Do 'late_arrivals' and 'disciplinary_events' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "education_attendance", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000145::difficulty=3-hop", "question": "Which 'school' entry deviates most from the mean of 'disciplinary_events'?", "answer": "central_high", "modality": "tabular", "data_id": "education_attendance", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000146::difficulty=counterfactual", "question": "If all values in 'attendance_pct' were increased by 10%, would it still exceed 'late_arrivals' on average?", "answer": "yes", "modality": "tabular", "data_id": "education_attendance", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000147::difficulty=counterfactual", "question": "If all values in 'attendance_pct' were multiplied by 1.2, would 'attendance_pct' remain above 'late_arrivals' on average?", "answer": "yes", "modality": "tabular", "data_id": "education_attendance", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000148::difficulty=counterfactual", "question": "If all values in 'late_arrivals' were multiplied by 0.85, would 'late_arrivals' remain above 'disciplinary_events' on average?", "answer": "yes", "modality": "tabular", "data_id": "education_attendance", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000149::difficulty=counterfactual", "question": "If all values in 'disciplinary_events' were multiplied by 1.2, would 'disciplinary_events' remain above 'attendance_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "education_attendance", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "education", "description": "Monthly attendance and behavior indicators by school.", "column_descriptions": {"school": "School identifier.", "month": "Month of attendance reporting.", "attendance_pct": "Attendance percentage.", "late_arrivals": "Number of late arrivals.", "disciplinary_events": "Count of recorded behavior incidents.", "term": "Academic term."}}, "data_format": "dataframe_records", "data": [{"school": "central_high", "month": "2023-09-01T00:00:00.000", "attendance_pct": 95.17, "late_arrivals": 11, "disciplinary_events": 2, "term": "fall"}, {"school": "central_high", "month": "2023-10-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 37, "disciplinary_events": 14, "term": "winter"}, {"school": "north_high", "month": "2023-11-01T00:00:00.000", "attendance_pct": 85.22, "late_arrivals": 58, "disciplinary_events": 7, "term": "winter"}, {"school": "central_high", "month": "2023-12-01T00:00:00.000", "attendance_pct": 96.85, "late_arrivals": 57, "disciplinary_events": 10, "term": "fall"}, {"school": "north_high", "month": "2024-01-01T00:00:00.000", "attendance_pct": 94.22, "late_arrivals": 33, "disciplinary_events": 8, "term": "winter"}, {"school": "central_high", "month": "2024-02-01T00:00:00.000", "attendance_pct": 95.03, "late_arrivals": 27, "disciplinary_events": 6, "term": "spring"}, {"school": "north_high", "month": "2024-03-01T00:00:00.000", "attendance_pct": 86.85, "late_arrivals": 69, "disciplinary_events": 11, "term": "spring"}, {"school": "north_high", "month": "2024-04-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 51, "disciplinary_events": 5, "term": "spring"}, {"school": "central_high", "month": "2024-05-01T00:00:00.000", "attendance_pct": 90.11, "late_arrivals": 9, "disciplinary_events": 9, "term": "winter"}, {"school": "north_high", "month": "2024-06-01T00:00:00.000", "attendance_pct": 91.68, "late_arrivals": 61, "disciplinary_events": 7, "term": "fall"}, {"school": "west_high", "month": "2024-07-01T00:00:00.000", "attendance_pct": 87.2, "late_arrivals": 55, "disciplinary_events": 12, "term": "fall"}, {"school": "central_high", "month": "2024-08-01T00:00:00.000", "attendance_pct": 90.47, "late_arrivals": 73, "disciplinary_events": 14, "term": "spring"}, {"school": "central_high", "month": "2024-09-01T00:00:00.000", "attendance_pct": 90.99, "late_arrivals": 36, "disciplinary_events": 15, "term": "fall"}, {"school": "north_high", "month": "2024-10-01T00:00:00.000", "attendance_pct": 86.56, "late_arrivals": 29, "disciplinary_events": 9, "term": "fall"}, {"school": "north_high", "month": "2024-11-01T00:00:00.000", "attendance_pct": 92.91, "late_arrivals": 52, "disciplinary_events": 4, "term": "fall"}, {"school": "central_high", "month": "2024-12-01T00:00:00.000", "attendance_pct": 100.0, "late_arrivals": 71, "disciplinary_events": 6, "term": "spring"}, {"school": "central_high", "month": "2025-01-01T00:00:00.000", "attendance_pct": 91.28, "late_arrivals": 18, "disciplinary_events": 12, "term": "spring"}, {"school": "central_high", "month": "2025-02-01T00:00:00.000", "attendance_pct": 96.33, "late_arrivals": 16, "disciplinary_events": 8, "term": "spring"}, {"school": "north_high", "month": "2025-03-01T00:00:00.000", "attendance_pct": 86.65, "late_arrivals": 52, "disciplinary_events": 9, "term": "fall"}, {"school": "west_high", "month": "2025-04-01T00:00:00.000", "attendance_pct": 92.48, "late_arrivals": 49, "disciplinary_events": 4, "term": "winter"}, {"school": "central_high", "month": "2025-05-01T00:00:00.000", "attendance_pct": 96.63, "late_arrivals": 32, "disciplinary_events": 12, "term": "spring"}, {"school": "north_high", "month": "2025-06-01T00:00:00.000", "attendance_pct": 95.67, "late_arrivals": 26, "disciplinary_events": 15, "term": "spring"}], "data_columns": ["school", "month", "attendance_pct", "late_arrivals", "disciplinary_events", "term"], "source": "synthetic"}
{"question_id": "tabular_000150::difficulty=1-hop", "question": "What is the value of 'store' in row 0?", "answer": "store_03", "modality": "tabular", "data_id": "retail_daily_sales", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000151::difficulty=1-hop", "question": "What is the value of 'date' in row 0?", "answer": "2024-01-01 00:00:00", "modality": "tabular", "data_id": "retail_daily_sales", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000152::difficulty=1-hop", "question": "What is the value of 'transactions' in row 0?", "answer": "378", "modality": "tabular", "data_id": "retail_daily_sales", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000153::difficulty=1-hop", "question": "Which 'store' has the highest 'transactions' value?", "answer": "store_04", "modality": "tabular", "data_id": "retail_daily_sales", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, 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{"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, 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{"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000154::difficulty=1-hop", "question": "Which 'store' has the lowest 'gross_sales_usd' value?", "answer": "store_03", "modality": "tabular", "data_id": "retail_daily_sales", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, 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{"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000155::difficulty=1-hop", "question": "Which 'store' has the highest 'discount_usd' value?", "answer": "store_04", "modality": "tabular", "data_id": "retail_daily_sales", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, 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{"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000156::difficulty=1-hop", "question": "Which 'store' has the lowest 'transactions' value?", "answer": "store_02", "modality": "tabular", "data_id": "retail_daily_sales", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000157::difficulty=1-hop", "question": "Which 'store' has the highest 'gross_sales_usd' value?", "answer": "store_03", "modality": "tabular", "data_id": "retail_daily_sales", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000158::difficulty=2-hop", "question": "Is 'transactions' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "retail_daily_sales", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000159::difficulty=2-hop", "question": "Is 'gross_sales_usd' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "retail_daily_sales", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000160::difficulty=2-hop", "question": "What is the sum of 'transactions' across all rows? Round to 2 decimals.", "answer": "12011.0", "modality": "tabular", "data_id": "retail_daily_sales", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000161::difficulty=2-hop", "question": "How many rows have 'transactions' strictly greater than 353.9?", "answer": "19", "modality": "tabular", "data_id": "retail_daily_sales", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000162::difficulty=2-hop", "question": "What is the average of 'gross_sales_usd' across all rows? Round to 2 decimals.", "answer": "12141.55", "modality": "tabular", "data_id": "retail_daily_sales", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000163::difficulty=2-hop", "question": "How many rows have 'gross_sales_usd' strictly greater than 12391.46?", "answer": "14", "modality": "tabular", "data_id": "retail_daily_sales", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000164::difficulty=2-hop", "question": "What is the median of 'discount_usd' across all rows? Round to 2 decimals.", "answer": "757.26", "modality": "tabular", "data_id": "retail_daily_sales", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000165::difficulty=3-hop", "question": "Which column has the higher average value: 'transactions' or 'gross_sales_usd'?", "answer": "gross_sales_usd", "modality": "tabular", "data_id": "retail_daily_sales", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000166::difficulty=3-hop", "question": "Which 'store' entry deviates most from the mean of 'transactions'?", "answer": "store_02", "modality": "tabular", "data_id": "retail_daily_sales", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000167::difficulty=3-hop", "question": "Do 'transactions' and 'gross_sales_usd' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "retail_daily_sales", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000168::difficulty=3-hop", "question": "Which 'store' entry deviates most from the mean of 'gross_sales_usd'?", "answer": "store_03", "modality": "tabular", "data_id": "retail_daily_sales", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, 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{"question_id": "tabular_000169::difficulty=3-hop", "question": "Do 'gross_sales_usd' and 'discount_usd' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "retail_daily_sales", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, 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"2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, 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{"question_id": "tabular_000170::difficulty=3-hop", "question": "Which 'store' entry deviates most from the mean of 'discount_usd'?", "answer": "store_04", "modality": "tabular", "data_id": "retail_daily_sales", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", 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"channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000171::difficulty=counterfactual", "question": "If all values in 'transactions' were increased by 10%, would it still exceed 'gross_sales_usd' on average?", "answer": "no", "modality": "tabular", "data_id": "retail_daily_sales", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000172::difficulty=counterfactual", "question": "If all values in 'transactions' were multiplied by 1.2, would 'transactions' remain above 'gross_sales_usd' on average?", "answer": "yes", "modality": "tabular", "data_id": "retail_daily_sales", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000173::difficulty=counterfactual", "question": "If all values in 'gross_sales_usd' were multiplied by 0.85, would 'gross_sales_usd' remain above 'discount_usd' on average?", "answer": "yes", "modality": "tabular", "data_id": "retail_daily_sales", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000174::difficulty=counterfactual", "question": "If all values in 'discount_usd' were multiplied by 1.2, would 'discount_usd' remain above 'transactions' on average?", "answer": "yes", "modality": "tabular", "data_id": "retail_daily_sales", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily retail sales activity across channels.", "column_descriptions": {"store": "Store location code.", "date": "Calendar date of sales record.", "transactions": "Number of completed transactions.", "gross_sales_usd": "Gross sales value in USD.", "discount_usd": "Discount value granted in USD.", "channel": "Primary shopping channel."}}, "data_format": "dataframe_records", "data": [{"store": "store_03", "date": "2024-01-01T00:00:00.000", "transactions": 378, "gross_sales_usd": 10255.04, "discount_usd": 796.14, "channel": "online"}, {"store": "store_02", "date": "2024-01-02T00:00:00.000", "transactions": 120, "gross_sales_usd": 10637.27, "discount_usd": 744.46, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-03T00:00:00.000", "transactions": 397, "gross_sales_usd": 11150.42, "discount_usd": 577.93, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-04T00:00:00.000", "transactions": 278, "gross_sales_usd": 10931.17, "discount_usd": 837.27, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-05T00:00:00.000", "transactions": 353, "gross_sales_usd": 8969.84, "discount_usd": 846.43, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-06T00:00:00.000", "transactions": 402, "gross_sales_usd": 12789.58, "discount_usd": 684.67, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-07T00:00:00.000", "transactions": 205, "gross_sales_usd": 9942.82, "discount_usd": 663.59, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-08T00:00:00.000", "transactions": 380, "gross_sales_usd": 12185.2, "discount_usd": 716.14, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-09T00:00:00.000", "transactions": 392, "gross_sales_usd": 11596.99, "discount_usd": 714.34, "channel": "online"}, {"store": "store_04", "date": "2024-01-10T00:00:00.000", "transactions": 455, "gross_sales_usd": 13312.54, "discount_usd": 669.04, "channel": "online"}, {"store": "store_03", "date": "2024-01-11T00:00:00.000", "transactions": 374, "gross_sales_usd": 11579.88, "discount_usd": 824.57, "channel": "online"}, {"store": "store_03", "date": "2024-01-12T00:00:00.000", "transactions": 162, "gross_sales_usd": 13017.82, "discount_usd": 738.8, "channel": "online"}, {"store": "store_04", "date": "2024-01-13T00:00:00.000", "transactions": 244, "gross_sales_usd": 11309.22, "discount_usd": 857.24, "channel": "online"}, {"store": "store_03", "date": "2024-01-14T00:00:00.000", "transactions": 517, "gross_sales_usd": 12955.57, "discount_usd": 994.62, "channel": "online"}, {"store": "store_02", "date": "2024-01-15T00:00:00.000", "transactions": 236, "gross_sales_usd": 11965.46, "discount_usd": 771.0, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-16T00:00:00.000", "transactions": 275, "gross_sales_usd": 10470.67, "discount_usd": 672.59, "channel": "pickup"}, {"store": "store_03", "date": "2024-01-17T00:00:00.000", "transactions": 469, "gross_sales_usd": 17078.42, "discount_usd": 1001.41, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-18T00:00:00.000", "transactions": 358, "gross_sales_usd": 16633.4, "discount_usd": 1060.81, "channel": "online"}, {"store": "store_02", "date": "2024-01-19T00:00:00.000", "transactions": 441, "gross_sales_usd": 14909.5, "discount_usd": 897.98, "channel": "pickup"}, {"store": "store_01", "date": "2024-01-20T00:00:00.000", "transactions": 352, "gross_sales_usd": 11360.55, "discount_usd": 557.15, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-21T00:00:00.000", "transactions": 509, "gross_sales_usd": 14705.68, "discount_usd": 769.0, "channel": "in_store"}, {"store": "store_04", "date": "2024-01-22T00:00:00.000", "transactions": 168, "gross_sales_usd": 12757.54, "discount_usd": 757.26, "channel": "online"}, {"store": "store_01", "date": "2024-01-23T00:00:00.000", "transactions": 436, "gross_sales_usd": 14905.39, "discount_usd": 958.34, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-24T00:00:00.000", "transactions": 228, "gross_sales_usd": 11754.07, "discount_usd": 768.81, "channel": "in_store"}, {"store": "store_01", "date": "2024-01-25T00:00:00.000", "transactions": 356, "gross_sales_usd": 10354.43, "discount_usd": 967.78, "channel": "online"}, {"store": "store_02", "date": "2024-01-26T00:00:00.000", "transactions": 383, "gross_sales_usd": 11271.71, "discount_usd": 572.89, "channel": "pickup"}, {"store": "store_04", "date": "2024-01-27T00:00:00.000", "transactions": 274, "gross_sales_usd": 13927.63, "discount_usd": 921.9, "channel": "pickup"}, {"store": "store_02", "date": "2024-01-28T00:00:00.000", "transactions": 156, "gross_sales_usd": 11148.66, "discount_usd": 789.12, "channel": "in_store"}, {"store": "store_03", "date": "2024-01-29T00:00:00.000", "transactions": 527, "gross_sales_usd": 10022.5, "discount_usd": 658.54, "channel": "online"}, {"store": "store_04", "date": "2024-01-30T00:00:00.000", "transactions": 544, "gross_sales_usd": 12700.84, "discount_usd": 652.96, "channel": "online"}, {"store": "store_02", "date": "2024-01-31T00:00:00.000", "transactions": 386, "gross_sales_usd": 13870.99, "discount_usd": 464.07, "channel": "pickup"}, {"store": "store_04", "date": "2024-02-01T00:00:00.000", "transactions": 262, "gross_sales_usd": 12821.66, "discount_usd": 880.22, "channel": "in_store"}, {"store": "store_04", "date": "2024-02-02T00:00:00.000", "transactions": 270, "gross_sales_usd": 10623.69, "discount_usd": 706.82, "channel": "pickup"}, {"store": "store_01", "date": "2024-02-03T00:00:00.000", "transactions": 269, "gross_sales_usd": 10569.18, "discount_usd": 604.97, "channel": "online"}, {"store": "store_01", "date": "2024-02-04T00:00:00.000", "transactions": 455, "gross_sales_usd": 10468.78, "discount_usd": 530.06, "channel": "pickup"}], "data_columns": ["store", "date", "transactions", "gross_sales_usd", "discount_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000175::difficulty=1-hop", "question": "What is the value of 'category' in row 0?", "answer": "home", "modality": "tabular", "data_id": "retail_inventory", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000176::difficulty=1-hop", "question": "What is the value of 'snapshot_week' in row 0?", "answer": "2024-01-07 00:00:00", "modality": "tabular", "data_id": "retail_inventory", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000177::difficulty=1-hop", "question": "What is the value of 'units_in_stock' in row 0?", "answer": "809", "modality": "tabular", "data_id": "retail_inventory", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000178::difficulty=1-hop", "question": "Which 'category' has the highest 'units_in_stock' value?", "answer": "home", "modality": "tabular", "data_id": "retail_inventory", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000179::difficulty=1-hop", "question": "Which 'category' has the lowest 'units_sold' value?", "answer": "home", "modality": "tabular", "data_id": "retail_inventory", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000180::difficulty=1-hop", "question": "Which 'category' has the highest 'backorder_units' value?", "answer": "apparel", "modality": "tabular", "data_id": "retail_inventory", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000181::difficulty=1-hop", "question": "Which 'category' has the lowest 'units_in_stock' value?", "answer": "apparel", "modality": "tabular", "data_id": "retail_inventory", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000182::difficulty=2-hop", "question": "Is 'units_in_stock' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "retail_inventory", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000183::difficulty=2-hop", "question": "Is 'units_sold' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "retail_inventory", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000184::difficulty=2-hop", "question": "What is the sum of 'units_in_stock' across all rows? Round to 2 decimals.", "answer": "16224.0", "modality": "tabular", "data_id": "retail_inventory", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000185::difficulty=2-hop", "question": "How many rows have 'units_in_stock' strictly greater than 758.3?", "answer": "10", "modality": "tabular", "data_id": "retail_inventory", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000186::difficulty=2-hop", "question": "What is the average of 'units_sold' across all rows? Round to 2 decimals.", "answer": "492.89", "modality": "tabular", "data_id": "retail_inventory", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000187::difficulty=2-hop", "question": "How many rows have 'units_sold' strictly greater than 590.0?", "answer": "8", "modality": "tabular", "data_id": "retail_inventory", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000188::difficulty=2-hop", "question": "What is the median of 'backorder_units' across all rows? Round to 2 decimals.", "answer": "56.0", "modality": "tabular", "data_id": "retail_inventory", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000189::difficulty=2-hop", "question": "How many rows have 'backorder_units' strictly greater than 54.2?", "answer": "10", "modality": "tabular", "data_id": "retail_inventory", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000190::difficulty=3-hop", "question": "Which column has the higher average value: 'units_in_stock' or 'units_sold'?", "answer": "units_in_stock", "modality": "tabular", "data_id": "retail_inventory", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000191::difficulty=3-hop", "question": "Which 'category' entry deviates most from the mean of 'units_in_stock'?", "answer": "home", "modality": "tabular", "data_id": "retail_inventory", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000192::difficulty=3-hop", "question": "Do 'units_in_stock' and 'units_sold' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "retail_inventory", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000193::difficulty=3-hop", "question": "Which 'category' entry deviates most from the mean of 'units_sold'?", "answer": "apparel", "modality": "tabular", "data_id": "retail_inventory", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000194::difficulty=3-hop", "question": "Do 'units_sold' and 'backorder_units' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "retail_inventory", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000195::difficulty=3-hop", "question": "Which 'category' entry deviates most from the mean of 'backorder_units'?", "answer": "apparel", "modality": "tabular", "data_id": "retail_inventory", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000196::difficulty=counterfactual", "question": "If all values in 'units_in_stock' were increased by 10%, would it still exceed 'units_sold' on average?", "answer": "yes", "modality": "tabular", "data_id": "retail_inventory", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000197::difficulty=counterfactual", "question": "If all values in 'units_in_stock' were multiplied by 1.2, would 'units_in_stock' remain above 'units_sold' on average?", "answer": "yes", "modality": "tabular", "data_id": "retail_inventory", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000198::difficulty=counterfactual", "question": "If all values in 'units_sold' were multiplied by 0.85, would 'units_sold' remain above 'backorder_units' on average?", "answer": "yes", "modality": "tabular", "data_id": "retail_inventory", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000199::difficulty=counterfactual", "question": "If all values in 'backorder_units' were multiplied by 1.2, would 'backorder_units' remain above 'units_in_stock' on average?", "answer": "yes", "modality": "tabular", "data_id": "retail_inventory", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Inventory and fulfillment snapshots for retail categories.", "column_descriptions": {"category": "Product category.", "snapshot_week": "Week of inventory snapshot.", "units_in_stock": "Units physically available.", "units_sold": "Units sold during the snapshot period.", "backorder_units": "Units pending supplier fulfillment.", "supplier_tier": "Supplier relationship tier."}}, "data_format": "dataframe_records", "data": [{"category": "home", "snapshot_week": "2024-01-07T00:00:00.000", "units_in_stock": 809, "units_sold": 671, "backorder_units": 134, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-01-14T00:00:00.000", "units_in_stock": 269, "units_sold": 644, "backorder_units": 139, "supplier_tier": "silver"}, {"category": "grocery", "snapshot_week": "2024-01-21T00:00:00.000", "units_in_stock": 1173, "units_sold": 260, "backorder_units": 111, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-01-28T00:00:00.000", "units_in_stock": 2066, "units_sold": 518, "backorder_units": 8, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-02-04T00:00:00.000", "units_in_stock": 128, "units_sold": 586, "backorder_units": 46, "supplier_tier": "gold"}, {"category": "electronics", "snapshot_week": "2024-02-11T00:00:00.000", "units_in_stock": 558, "units_sold": 618, "backorder_units": 104, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-02-18T00:00:00.000", "units_in_stock": 779, "units_sold": 151, "backorder_units": 21, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-02-25T00:00:00.000", "units_in_stock": 756, "units_sold": 901, "backorder_units": 33, "supplier_tier": "silver"}, {"category": "electronics", "snapshot_week": "2024-03-03T00:00:00.000", "units_in_stock": 1308, "units_sold": 432, "backorder_units": 117, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-03-10T00:00:00.000", "units_in_stock": 262, "units_sold": 591, "backorder_units": 52, "supplier_tier": "gold"}, {"category": "grocery", "snapshot_week": "2024-03-17T00:00:00.000", "units_in_stock": 294, "units_sold": 336, "backorder_units": 23, "supplier_tier": "gold"}, {"category": "home", "snapshot_week": "2024-03-24T00:00:00.000", "units_in_stock": 979, "units_sold": 728, "backorder_units": 20, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-03-31T00:00:00.000", "units_in_stock": 793, "units_sold": 307, "backorder_units": 60, "supplier_tier": "bronze"}, {"category": "home", "snapshot_week": "2024-04-07T00:00:00.000", "units_in_stock": 176, "units_sold": 128, "backorder_units": 54, "supplier_tier": "silver"}, {"category": "home", "snapshot_week": "2024-04-14T00:00:00.000", "units_in_stock": 2105, "units_sold": 507, "backorder_units": 80, "supplier_tier": "bronze"}, {"category": "apparel", "snapshot_week": "2024-04-21T00:00:00.000", "units_in_stock": 1450, "units_sold": 320, "backorder_units": 56, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-04-28T00:00:00.000", "units_in_stock": 610, "units_sold": 664, "backorder_units": 5, "supplier_tier": "gold"}, {"category": "apparel", "snapshot_week": "2024-05-05T00:00:00.000", "units_in_stock": 744, "units_sold": 782, "backorder_units": 93, "supplier_tier": "silver"}, {"category": "apparel", "snapshot_week": "2024-05-12T00:00:00.000", "units_in_stock": 965, "units_sold": 221, "backorder_units": 60, "supplier_tier": "silver"}], "data_columns": ["category", "snapshot_week", "units_in_stock", "units_sold", "backorder_units", "supplier_tier"], "source": "synthetic"}
{"question_id": "tabular_000200::difficulty=1-hop", "question": "What is the value of 'city' in row 0?", "answer": "seaport", "modality": "tabular", "data_id": "environment_weather", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000201::difficulty=1-hop", "question": "What is the value of 'date' in row 0?", "answer": "2024-04-01 00:00:00", "modality": "tabular", "data_id": "environment_weather", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000202::difficulty=1-hop", "question": "What is the value of 'temperature_c' in row 0?", "answer": "18.5", "modality": "tabular", "data_id": "environment_weather", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000203::difficulty=1-hop", "question": "Which 'city' has the highest 'temperature_c' value?", "answer": "lakeside", "modality": "tabular", "data_id": "environment_weather", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000204::difficulty=1-hop", "question": "Which 'city' has the lowest 'rainfall_mm' value?", "answer": "seaport", "modality": "tabular", "data_id": "environment_weather", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000205::difficulty=1-hop", "question": "Which 'city' has the highest 'temperature_c' value?", "answer": "lakeside", "modality": "tabular", "data_id": "environment_weather", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000206::difficulty=1-hop", "question": "Which 'city' has the lowest 'rainfall_mm' value?", "answer": "seaport", "modality": "tabular", "data_id": "environment_weather", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000207::difficulty=1-hop", "question": "Which 'city' has the highest 'temperature_c' value?", "answer": "lakeside", "modality": "tabular", "data_id": "environment_weather", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000208::difficulty=2-hop", "question": "Is 'temperature_c' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "environment_weather", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000209::difficulty=2-hop", "question": "Is 'rainfall_mm' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "environment_weather", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000210::difficulty=2-hop", "question": "What is the sum of 'temperature_c' across all rows? Round to 2 decimals.", "answer": "574.5", "modality": "tabular", "data_id": "environment_weather", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000211::difficulty=2-hop", "question": "How many rows have 'temperature_c' strictly greater than 18.57?", "answer": "15", "modality": "tabular", "data_id": "environment_weather", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000212::difficulty=2-hop", "question": "What is the average of 'rainfall_mm' across all rows? Round to 2 decimals.", "answer": "5.48", "modality": "tabular", "data_id": "environment_weather", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000213::difficulty=2-hop", "question": "How many rows have 'rainfall_mm' strictly greater than 4.66?", "answer": "11", "modality": "tabular", "data_id": "environment_weather", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000214::difficulty=2-hop", "question": "What is the median of 'temperature_c' across all rows? Round to 2 decimals.", "answer": "19.15", "modality": "tabular", "data_id": "environment_weather", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000215::difficulty=3-hop", "question": "Which column has the higher average value: 'temperature_c' or 'rainfall_mm'?", "answer": "temperature_c", "modality": "tabular", "data_id": "environment_weather", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000216::difficulty=3-hop", "question": "Which 'city' entry deviates most from the mean of 'temperature_c'?", "answer": "lakeside", "modality": "tabular", "data_id": "environment_weather", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000217::difficulty=3-hop", "question": "Do 'temperature_c' and 'rainfall_mm' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "environment_weather", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000218::difficulty=3-hop", "question": "Which 'city' entry deviates most from the mean of 'rainfall_mm'?", "answer": "lakeside", "modality": "tabular", "data_id": "environment_weather", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000219::difficulty=3-hop", "question": "Do 'rainfall_mm' and 'temperature_c' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "environment_weather", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000220::difficulty=3-hop", "question": "Which 'city' entry deviates most from the mean of 'temperature_c'?", "answer": "lakeside", "modality": "tabular", "data_id": "environment_weather", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000221::difficulty=counterfactual", "question": "If all values in 'temperature_c' were increased by 10%, would it still exceed 'rainfall_mm' on average?", "answer": "yes", "modality": "tabular", "data_id": "environment_weather", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000222::difficulty=counterfactual", "question": "If all values in 'temperature_c' were multiplied by 1.2, would 'temperature_c' remain above 'rainfall_mm' on average?", "answer": "yes", "modality": "tabular", "data_id": "environment_weather", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000223::difficulty=counterfactual", "question": "If all values in 'rainfall_mm' were multiplied by 0.85, would 'rainfall_mm' remain above 'temperature_c' on average?", "answer": "yes", "modality": "tabular", "data_id": "environment_weather", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000224::difficulty=counterfactual", "question": "If all values in 'temperature_c' were multiplied by 1.2, would 'temperature_c' remain above 'rainfall_mm' on average?", "answer": "yes", "modality": "tabular", "data_id": "environment_weather", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Daily weather observations across cities.", "column_descriptions": {"city": "City name.", "date": "Date of weather measurement.", "temperature_c": "Average daily temperature in Celsius.", "rainfall_mm": "Daily rainfall in millimeters.", "humidity_pct": "Average humidity percentage.", "weather_type": "Dominant weather category."}}, "data_format": "dataframe_records", "data": [{"city": "seaport", "date": "2024-04-01T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 3.7, "humidity_pct": 55.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-02T00:00:00.000", "temperature_c": 18.5, "rainfall_mm": 5.3, "humidity_pct": 47.4, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-03T00:00:00.000", "temperature_c": 14.7, "rainfall_mm": 3.3, "humidity_pct": 69.8, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-04T00:00:00.000", "temperature_c": 37.7, "rainfall_mm": 3.0, "humidity_pct": 69.7, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-05T00:00:00.000", "temperature_c": 18.1, "rainfall_mm": 11.3, "humidity_pct": 67.7, "weather_type": "sunny"}, {"city": "ridgeview", "date": "2024-04-06T00:00:00.000", "temperature_c": 13.1, "rainfall_mm": 1.5, "humidity_pct": 73.9, "weather_type": "rainy"}, {"city": "ridgeview", "date": "2024-04-07T00:00:00.000", "temperature_c": 12.2, "rainfall_mm": 9.3, "humidity_pct": 64.6, "weather_type": "stormy"}, {"city": "lakeside", "date": "2024-04-08T00:00:00.000", "temperature_c": 32.4, "rainfall_mm": 4.9, "humidity_pct": 57.2, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-09T00:00:00.000", "temperature_c": 25.3, "rainfall_mm": 2.8, "humidity_pct": 57.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-10T00:00:00.000", "temperature_c": 17.8, "rainfall_mm": 2.6, "humidity_pct": 48.2, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-11T00:00:00.000", "temperature_c": 29.6, "rainfall_mm": 5.7, "humidity_pct": 37.8, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-12T00:00:00.000", "temperature_c": 23.7, "rainfall_mm": 1.4, "humidity_pct": 53.9, "weather_type": "stormy"}, {"city": "ridgeview", "date": "2024-04-13T00:00:00.000", "temperature_c": 9.7, "rainfall_mm": 3.4, "humidity_pct": 60.4, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-14T00:00:00.000", "temperature_c": 21.1, "rainfall_mm": 18.3, "humidity_pct": 77.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-15T00:00:00.000", "temperature_c": 17.5, "rainfall_mm": 4.6, "humidity_pct": 56.3, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-16T00:00:00.000", "temperature_c": 24.6, "rainfall_mm": 11.1, "humidity_pct": 58.9, "weather_type": "cloudy"}, {"city": "seaport", "date": "2024-04-17T00:00:00.000", "temperature_c": 18.3, "rainfall_mm": 4.5, "humidity_pct": 67.9, "weather_type": "sunny"}, {"city": "lakeside", "date": "2024-04-18T00:00:00.000", "temperature_c": 23.8, "rainfall_mm": 10.2, "humidity_pct": 70.4, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-19T00:00:00.000", "temperature_c": 25.0, "rainfall_mm": 5.2, "humidity_pct": 51.9, "weather_type": "rainy"}, {"city": "seaport", "date": "2024-04-20T00:00:00.000", "temperature_c": 13.7, "rainfall_mm": 1.4, "humidity_pct": 50.1, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-21T00:00:00.000", "temperature_c": 16.7, "rainfall_mm": 3.5, "humidity_pct": 47.6, "weather_type": "rainy"}, {"city": "lakeside", "date": "2024-04-22T00:00:00.000", "temperature_c": 19.0, "rainfall_mm": 4.1, "humidity_pct": 43.3, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-23T00:00:00.000", "temperature_c": 20.8, "rainfall_mm": 4.3, "humidity_pct": 44.7, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-24T00:00:00.000", "temperature_c": 12.7, "rainfall_mm": 8.6, "humidity_pct": 43.5, "weather_type": "cloudy"}, {"city": "lakeside", "date": "2024-04-25T00:00:00.000", "temperature_c": 19.3, "rainfall_mm": 4.5, "humidity_pct": 70.5, "weather_type": "sunny"}, {"city": "seaport", "date": "2024-04-26T00:00:00.000", "temperature_c": 20.6, "rainfall_mm": 4.1, "humidity_pct": 52.4, "weather_type": "stormy"}, {"city": "seaport", "date": "2024-04-27T00:00:00.000", "temperature_c": 29.2, "rainfall_mm": 6.2, "humidity_pct": 63.9, "weather_type": "cloudy"}, {"city": "ridgeview", "date": "2024-04-28T00:00:00.000", "temperature_c": 20.9, "rainfall_mm": 4.6, "humidity_pct": 72.2, "weather_type": "rainy"}], "data_columns": ["city", "date", "temperature_c", "rainfall_mm", "humidity_pct", "weather_type"], "source": "synthetic"}
{"question_id": "tabular_000225::difficulty=1-hop", "question": "What is the value of 'station' in row 0?", "answer": "station_s", "modality": "tabular", "data_id": "environment_pollution", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000226::difficulty=1-hop", "question": "What is the value of 'month' in row 0?", "answer": "2023-01-01 00:00:00", "modality": "tabular", "data_id": "environment_pollution", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000227::difficulty=1-hop", "question": "What is the value of 'pm25' in row 0?", "answer": "28.5", "modality": "tabular", "data_id": "environment_pollution", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000228::difficulty=1-hop", "question": "Which 'station' has the highest 'pm25' value?", "answer": "station_n", "modality": "tabular", "data_id": "environment_pollution", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000229::difficulty=1-hop", "question": "Which 'station' has the lowest 'no2' value?", "answer": "station_e", "modality": "tabular", "data_id": "environment_pollution", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000230::difficulty=1-hop", "question": "Which 'station' has the highest 'ozone' value?", "answer": "station_e", "modality": "tabular", "data_id": "environment_pollution", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000231::difficulty=1-hop", "question": "Which 'station' has the lowest 'pm25' value?", "answer": "station_e", "modality": "tabular", "data_id": "environment_pollution", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000232::difficulty=2-hop", "question": "Is 'pm25' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "environment_pollution", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000233::difficulty=2-hop", "question": "Is 'no2' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "environment_pollution", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000234::difficulty=2-hop", "question": "What is the sum of 'pm25' across all rows? Round to 2 decimals.", "answer": "866.42", "modality": "tabular", "data_id": "environment_pollution", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000235::difficulty=2-hop", "question": "How many rows have 'pm25' strictly greater than 34.78?", "answer": "13", "modality": "tabular", "data_id": "environment_pollution", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000236::difficulty=2-hop", "question": "What is the average of 'no2' across all rows? Round to 2 decimals.", "answer": "42.11", "modality": "tabular", "data_id": "environment_pollution", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000237::difficulty=2-hop", "question": "How many rows have 'no2' strictly greater than 43.12?", "answer": "10", "modality": "tabular", "data_id": "environment_pollution", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000238::difficulty=2-hop", "question": "What is the median of 'ozone' across all rows? Round to 2 decimals.", "answer": "28.21", "modality": "tabular", "data_id": "environment_pollution", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000239::difficulty=2-hop", "question": "How many rows have 'ozone' strictly greater than 26.77?", "answer": "13", "modality": "tabular", "data_id": "environment_pollution", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000240::difficulty=3-hop", "question": "Which column has the higher average value: 'pm25' or 'no2'?", "answer": "no2", "modality": "tabular", "data_id": "environment_pollution", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000241::difficulty=3-hop", "question": "Which 'station' entry deviates most from the mean of 'pm25'?", "answer": "station_n", "modality": "tabular", "data_id": "environment_pollution", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000242::difficulty=3-hop", "question": "Do 'pm25' and 'no2' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "environment_pollution", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000243::difficulty=3-hop", "question": "Which 'station' entry deviates most from the mean of 'no2'?", "answer": "station_n", "modality": "tabular", "data_id": "environment_pollution", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000244::difficulty=3-hop", "question": "Do 'no2' and 'ozone' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "environment_pollution", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000245::difficulty=3-hop", "question": "Which 'station' entry deviates most from the mean of 'ozone'?", "answer": "station_e", "modality": "tabular", "data_id": "environment_pollution", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000246::difficulty=counterfactual", "question": "If all values in 'pm25' were increased by 10%, would it still exceed 'no2' on average?", "answer": "no", "modality": "tabular", "data_id": "environment_pollution", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000247::difficulty=counterfactual", "question": "If all values in 'pm25' were multiplied by 1.2, would 'pm25' remain above 'no2' on average?", "answer": "no", "modality": "tabular", "data_id": "environment_pollution", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000248::difficulty=counterfactual", "question": "If all values in 'no2' were multiplied by 0.85, would 'no2' remain above 'ozone' on average?", "answer": "yes", "modality": "tabular", "data_id": "environment_pollution", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000249::difficulty=counterfactual", "question": "If all values in 'ozone' were multiplied by 1.2, would 'ozone' remain above 'pm25' on average?", "answer": "yes", "modality": "tabular", "data_id": "environment_pollution", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "environment", "description": "Monthly air-quality pollutant readings by monitoring station.", "column_descriptions": {"station": "Monitoring station identifier.", "month": "Reporting month.", "pm25": "Fine particulate concentration.", "no2": "Nitrogen dioxide concentration.", "ozone": "Ground-level ozone concentration.", "air_quality_band": "Categorized air quality status."}}, "data_format": "dataframe_records", "data": [{"station": "station_s", "month": "2023-01-01T00:00:00.000", "pm25": 28.5, "no2": 41.15, "ozone": 30.6, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-02-01T00:00:00.000", "pm25": 58.4, "no2": 73.01, "ozone": 22.61, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-03-01T00:00:00.000", "pm25": 24.35, "no2": 53.83, "ozone": 21.81, "air_quality_band": "unhealthy"}, {"station": "station_n", "month": "2023-04-01T00:00:00.000", "pm25": 30.33, "no2": 23.21, "ozone": 22.18, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-05-01T00:00:00.000", "pm25": 41.22, "no2": 41.94, "ozone": 17.0, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-06-01T00:00:00.000", "pm25": 29.52, "no2": 45.43, "ozone": 23.41, "air_quality_band": "unhealthy"}, {"station": "station_w", "month": "2023-07-01T00:00:00.000", "pm25": 23.76, "no2": 48.81, "ozone": 28.27, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2023-08-01T00:00:00.000", "pm25": 37.08, "no2": 37.62, "ozone": 26.02, "air_quality_band": "moderate"}, {"station": "station_n", "month": "2023-09-01T00:00:00.000", "pm25": 31.78, "no2": 36.14, "ozone": 31.0, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-10-01T00:00:00.000", "pm25": 33.41, "no2": 40.98, "ozone": 37.74, "air_quality_band": "good"}, {"station": "station_e", "month": "2023-11-01T00:00:00.000", "pm25": 26.05, "no2": 21.55, "ozone": 12.75, "air_quality_band": "good"}, {"station": "station_n", "month": "2023-12-01T00:00:00.000", "pm25": 54.5, "no2": 46.89, "ozone": 28.16, "air_quality_band": "good"}, {"station": "station_n", "month": "2024-01-01T00:00:00.000", "pm25": 27.6, "no2": 41.9, "ozone": 36.06, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-02-01T00:00:00.000", "pm25": 38.35, "no2": 41.07, "ozone": 31.34, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-03-01T00:00:00.000", "pm25": 40.3, "no2": 31.37, "ozone": 9.68, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-04-01T00:00:00.000", "pm25": 16.76, "no2": 47.41, "ozone": 36.07, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-05-01T00:00:00.000", "pm25": 33.97, "no2": 55.8, "ozone": 21.51, "air_quality_band": "unhealthy"}, {"station": "station_s", "month": "2024-06-01T00:00:00.000", "pm25": 37.6, "no2": 36.55, "ozone": 22.12, "air_quality_band": "moderate"}, {"station": "station_e", "month": "2024-07-01T00:00:00.000", "pm25": 40.71, "no2": 31.14, "ozone": 35.46, "air_quality_band": "good"}, {"station": "station_w", "month": "2024-08-01T00:00:00.000", "pm25": 36.28, "no2": 42.02, "ozone": 36.43, "air_quality_band": "good"}, {"station": "station_s", "month": "2024-09-01T00:00:00.000", "pm25": 51.97, "no2": 47.69, "ozone": 31.25, "air_quality_band": "unhealthy"}, {"station": "station_e", "month": "2024-10-01T00:00:00.000", "pm25": 39.14, "no2": 45.67, "ozone": 36.08, "air_quality_band": "good"}, {"station": "station_e", "month": "2024-11-01T00:00:00.000", "pm25": 46.61, "no2": 43.4, "ozone": 37.42, "air_quality_band": "moderate"}, {"station": "station_w", "month": "2024-12-01T00:00:00.000", "pm25": 38.23, "no2": 35.97, "ozone": 25.15, "air_quality_band": "unhealthy"}], "data_columns": ["station", "month", "pm25", "no2", "ozone", "air_quality_band"], "source": "synthetic"}
{"question_id": "tabular_000250::difficulty=1-hop", "question": "What is the value of 'player_role' in row 0?", "answer": "forward", "modality": "tabular", "data_id": "sports_player_stats", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000251::difficulty=1-hop", "question": "What is the value of 'game_date' in row 0?", "answer": "2024-01-03 00:00:00", "modality": "tabular", "data_id": "sports_player_stats", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000252::difficulty=1-hop", "question": "What is the value of 'points' in row 0?", "answer": "27", "modality": "tabular", "data_id": "sports_player_stats", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000253::difficulty=1-hop", "question": "Which 'player_role' has the highest 'points' value?", "answer": "center", "modality": "tabular", "data_id": "sports_player_stats", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000254::difficulty=1-hop", "question": "Which 'player_role' has the lowest 'assists' value?", "answer": "forward", "modality": "tabular", "data_id": "sports_player_stats", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000255::difficulty=1-hop", "question": "Which 'player_role' has the highest 'rebounds' value?", "answer": "center", "modality": "tabular", "data_id": "sports_player_stats", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000256::difficulty=1-hop", "question": "Which 'player_role' has the lowest 'points' value?", "answer": "center", "modality": "tabular", "data_id": "sports_player_stats", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000257::difficulty=1-hop", "question": "Which 'player_role' has the highest 'assists' value?", "answer": "center", "modality": "tabular", "data_id": "sports_player_stats", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000258::difficulty=2-hop", "question": "Is 'points' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "sports_player_stats", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000259::difficulty=2-hop", "question": "Is 'assists' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "sports_player_stats", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000260::difficulty=2-hop", "question": "What is the sum of 'points' across all rows? Round to 2 decimals.", "answer": "609.0", "modality": "tabular", "data_id": "sports_player_stats", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000261::difficulty=2-hop", "question": "How many rows have 'points' strictly greater than 23.0?", "answer": "13", "modality": "tabular", "data_id": "sports_player_stats", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000262::difficulty=2-hop", "question": "What is the average of 'assists' across all rows? Round to 2 decimals.", "answer": "8.2", "modality": "tabular", "data_id": "sports_player_stats", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000263::difficulty=2-hop", "question": "How many rows have 'assists' strictly greater than 10.0?", "answer": "9", "modality": "tabular", "data_id": "sports_player_stats", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000264::difficulty=2-hop", "question": "What is the median of 'rebounds' across all rows? Round to 2 decimals.", "answer": "10.0", "modality": "tabular", "data_id": "sports_player_stats", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000265::difficulty=2-hop", "question": "How many rows have 'rebounds' strictly greater than 9.6?", "answer": "14", "modality": "tabular", "data_id": "sports_player_stats", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000266::difficulty=3-hop", "question": "Which column has the higher average value: 'points' or 'assists'?", "answer": "points", "modality": "tabular", "data_id": "sports_player_stats", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000267::difficulty=3-hop", "question": "Which 'player_role' entry deviates most from the mean of 'points'?", "answer": "center", "modality": "tabular", "data_id": "sports_player_stats", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000268::difficulty=3-hop", "question": "Do 'points' and 'assists' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "sports_player_stats", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000269::difficulty=3-hop", "question": "Which 'player_role' entry deviates most from the mean of 'assists'?", "answer": "forward", "modality": "tabular", "data_id": "sports_player_stats", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000270::difficulty=3-hop", "question": "Do 'assists' and 'rebounds' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "sports_player_stats", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000271::difficulty=3-hop", "question": "Which 'player_role' entry deviates most from the mean of 'rebounds'?", "answer": "forward", "modality": "tabular", "data_id": "sports_player_stats", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000272::difficulty=counterfactual", "question": "If all values in 'points' were increased by 10%, would it still exceed 'assists' on average?", "answer": "yes", "modality": "tabular", "data_id": "sports_player_stats", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000273::difficulty=counterfactual", "question": "If all values in 'points' were multiplied by 1.2, would 'points' remain above 'assists' on average?", "answer": "yes", "modality": "tabular", "data_id": "sports_player_stats", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000274::difficulty=counterfactual", "question": "If all values in 'assists' were multiplied by 0.85, would 'assists' remain above 'rebounds' on average?", "answer": "yes", "modality": "tabular", "data_id": "sports_player_stats", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Player-level game performance records.", "column_descriptions": {"player_role": "Primary player role.", "game_date": "Date of game.", "points": "Points scored in game.", "assists": "Assists recorded in game.", "rebounds": "Rebounds recorded in game.", "home_away": "Whether game was home or away."}}, "data_format": "dataframe_records", "data": [{"player_role": "forward", "game_date": "2024-01-03T00:00:00.000", "points": 27, "assists": 8, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-06T00:00:00.000", "points": 23, "assists": 5, "rebounds": 17, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-09T00:00:00.000", "points": 31, "assists": 13, "rebounds": 8, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-12T00:00:00.000", "points": 24, "assists": 6, "rebounds": 17, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-15T00:00:00.000", "points": 30, "assists": 13, "rebounds": 4, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-18T00:00:00.000", "points": 10, "assists": 12, "rebounds": 10, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-21T00:00:00.000", "points": 21, "assists": 2, "rebounds": 16, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-01-24T00:00:00.000", "points": 23, "assists": 1, "rebounds": 17, "home_away": "home"}, {"player_role": "center", "game_date": "2024-01-27T00:00:00.000", "points": 33, "assists": 11, "rebounds": 16, "home_away": "away"}, {"player_role": "center", "game_date": "2024-01-30T00:00:00.000", "points": 24, "assists": 13, "rebounds": 14, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-02T00:00:00.000", "points": 18, "assists": 12, "rebounds": 5, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-02-05T00:00:00.000", "points": 21, "assists": 10, "rebounds": 13, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-08T00:00:00.000", "points": 21, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-02-11T00:00:00.000", "points": 20, "assists": 1, "rebounds": 5, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-14T00:00:00.000", "points": 15, "assists": 6, "rebounds": 10, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-02-17T00:00:00.000", "points": 30, "assists": 10, "rebounds": 16, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-20T00:00:00.000", "points": 26, "assists": 9, "rebounds": 11, "home_away": "away"}, {"player_role": "forward", "game_date": "2024-02-23T00:00:00.000", "points": 9, "assists": 4, "rebounds": 11, "home_away": "home"}, {"player_role": "center", "game_date": "2024-02-26T00:00:00.000", "points": 8, "assists": 2, "rebounds": 4, "home_away": "away"}, {"player_role": "center", "game_date": "2024-02-29T00:00:00.000", "points": 23, "assists": 12, "rebounds": 2, "home_away": "home"}, {"player_role": "guard", "game_date": "2024-03-03T00:00:00.000", "points": 37, "assists": 9, "rebounds": 7, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-06T00:00:00.000", "points": 30, "assists": 3, "rebounds": 2, "home_away": "away"}, {"player_role": "center", "game_date": "2024-03-09T00:00:00.000", "points": 41, "assists": 13, "rebounds": 5, "home_away": "home"}, {"player_role": "forward", "game_date": "2024-03-12T00:00:00.000", "points": 38, "assists": 7, "rebounds": 16, "home_away": "away"}, {"player_role": "guard", "game_date": "2024-03-15T00:00:00.000", "points": 26, "assists": 10, "rebounds": 16, "home_away": "home"}], "data_columns": ["player_role", "game_date", "points", "assists", "rebounds", "home_away"], "source": "synthetic"}
{"question_id": "tabular_000275::difficulty=1-hop", "question": "What is the value of 'team' in row 0?", "answer": "lynx", "modality": "tabular", "data_id": "sports_team_results", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000276::difficulty=1-hop", "question": "What is the value of 'match_week' in row 0?", "answer": "2024-02-04 00:00:00", "modality": "tabular", "data_id": "sports_team_results", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000277::difficulty=1-hop", "question": "What is the value of 'goals_for' in row 0?", "answer": "5", "modality": "tabular", "data_id": "sports_team_results", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000278::difficulty=1-hop", "question": "Which 'team' has the highest 'goals_for' value?", "answer": "lynx", "modality": "tabular", "data_id": "sports_team_results", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000279::difficulty=1-hop", "question": "Which 'team' has the lowest 'goals_against' value?", "answer": "hawks", "modality": "tabular", "data_id": "sports_team_results", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000280::difficulty=1-hop", "question": "Which 'team' has the highest 'possession_pct' value?", "answer": "lynx", "modality": "tabular", "data_id": "sports_team_results", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000281::difficulty=1-hop", "question": "Which 'team' has the lowest 'goals_for' value?", "answer": "orcas", "modality": "tabular", "data_id": "sports_team_results", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000282::difficulty=2-hop", "question": "Is 'goals_for' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "sports_team_results", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000283::difficulty=2-hop", "question": "Is 'goals_against' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "sports_team_results", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000284::difficulty=2-hop", "question": "What is the sum of 'goals_for' across all rows? Round to 2 decimals.", "answer": "45.0", "modality": "tabular", "data_id": "sports_team_results", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000285::difficulty=2-hop", "question": "How many rows have 'goals_for' strictly greater than 1.65?", "answer": "10", "modality": "tabular", "data_id": "sports_team_results", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000286::difficulty=2-hop", "question": "What is the average of 'goals_against' across all rows? Round to 2 decimals.", "answer": "2.44", "modality": "tabular", "data_id": "sports_team_results", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000287::difficulty=2-hop", "question": "How many rows have 'goals_against' strictly greater than 3.0?", "answer": "5", "modality": "tabular", "data_id": "sports_team_results", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000288::difficulty=2-hop", "question": "What is the median of 'possession_pct' across all rows? Round to 2 decimals.", "answer": "47.8", "modality": "tabular", "data_id": "sports_team_results", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000289::difficulty=3-hop", "question": "Which column has the higher average value: 'goals_for' or 'goals_against'?", "answer": "goals_for", "modality": "tabular", "data_id": "sports_team_results", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000290::difficulty=3-hop", "question": "Which 'team' entry deviates most from the mean of 'goals_for'?", "answer": "lynx", "modality": "tabular", "data_id": "sports_team_results", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000291::difficulty=3-hop", "question": "Do 'goals_for' and 'goals_against' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "sports_team_results", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000292::difficulty=3-hop", "question": "Which 'team' entry deviates most from the mean of 'goals_against'?", "answer": "hawks", "modality": "tabular", "data_id": "sports_team_results", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000293::difficulty=3-hop", "question": "Do 'goals_against' and 'possession_pct' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "sports_team_results", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000294::difficulty=3-hop", "question": "Which 'team' entry deviates most from the mean of 'possession_pct'?", "answer": "rangers", "modality": "tabular", "data_id": "sports_team_results", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000295::difficulty=3-hop", "question": "Do 'possession_pct' and 'goals_for' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "sports_team_results", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000296::difficulty=counterfactual", "question": "If all values in 'goals_for' were increased by 10%, would it still exceed 'goals_against' on average?", "answer": "yes", "modality": "tabular", "data_id": "sports_team_results", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000297::difficulty=counterfactual", "question": "If all values in 'goals_for' were multiplied by 1.2, would 'goals_for' remain above 'goals_against' on average?", "answer": "yes", "modality": "tabular", "data_id": "sports_team_results", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000298::difficulty=counterfactual", "question": "If all values in 'goals_against' were multiplied by 0.85, would 'goals_against' remain above 'possession_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "sports_team_results", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000299::difficulty=counterfactual", "question": "If all values in 'possession_pct' were multiplied by 1.2, would 'possession_pct' remain above 'goals_for' on average?", "answer": "yes", "modality": "tabular", "data_id": "sports_team_results", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "sports", "description": "Weekly match outcomes and team performance stats.", "column_descriptions": {"team": "Team name.", "match_week": "Week of match.", "goals_for": "Goals scored by team.", "goals_against": "Goals conceded by team.", "possession_pct": "Average possession percentage.", "result": "Match outcome category."}}, "data_format": "dataframe_records", "data": [{"team": "lynx", "match_week": "2024-02-04T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 58.6, "result": "loss"}, {"team": "lynx", "match_week": "2024-02-11T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 47.5, "result": "draw"}, {"team": "orcas", "match_week": "2024-02-18T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 47.6, "result": "draw"}, {"team": "hawks", "match_week": "2024-02-25T00:00:00.000", "goals_for": 1, "goals_against": 2, "possession_pct": 43.0, "result": "win"}, {"team": "orcas", "match_week": "2024-03-03T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 52.2, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-10T00:00:00.000", "goals_for": 5, "goals_against": 4, "possession_pct": 47.5, "result": "loss"}, {"team": "rangers", "match_week": "2024-03-17T00:00:00.000", "goals_for": 1, "goals_against": 4, "possession_pct": 54.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-03-24T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 50.0, "result": "draw"}, {"team": "lynx", "match_week": "2024-03-31T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 60.1, "result": "win"}, {"team": "orcas", "match_week": "2024-04-07T00:00:00.000", "goals_for": 0, "goals_against": 4, "possession_pct": 49.9, "result": "loss"}, {"team": "rangers", "match_week": "2024-04-14T00:00:00.000", "goals_for": 3, "goals_against": 2, "possession_pct": 36.7, "result": "draw"}, {"team": "rangers", "match_week": "2024-04-21T00:00:00.000", "goals_for": 5, "goals_against": 1, "possession_pct": 48.0, "result": "loss"}, {"team": "orcas", "match_week": "2024-04-28T00:00:00.000", "goals_for": 2, "goals_against": 2, "possession_pct": 44.5, "result": "win"}, {"team": "hawks", "match_week": "2024-05-05T00:00:00.000", "goals_for": 1, "goals_against": 0, "possession_pct": 46.4, "result": "win"}, {"team": "hawks", "match_week": "2024-05-12T00:00:00.000", "goals_for": 4, "goals_against": 1, "possession_pct": 51.2, "result": "win"}, {"team": "rangers", "match_week": "2024-05-19T00:00:00.000", "goals_for": 4, "goals_against": 3, "possession_pct": 40.1, "result": "loss"}, {"team": "hawks", "match_week": "2024-05-26T00:00:00.000", "goals_for": 4, "goals_against": 2, "possession_pct": 49.5, "result": "draw"}, {"team": "rangers", "match_week": "2024-06-02T00:00:00.000", "goals_for": 1, "goals_against": 3, "possession_pct": 35.0, "result": "win"}], "data_columns": ["team", "match_week", "goals_for", "goals_against", "possession_pct", "result"], "source": "synthetic"}
{"question_id": "tabular_000300::difficulty=1-hop", "question": "What is the value of 'region' in row 0?", "answer": "east", "modality": "tabular", "data_id": "demographics_census", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000301::difficulty=1-hop", "question": "What is the value of 'census_year' in row 0?", "answer": "2010-01-01 00:00:00", "modality": "tabular", "data_id": "demographics_census", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000302::difficulty=1-hop", "question": "What is the value of 'population_k' in row 0?", "answer": "3334", "modality": "tabular", "data_id": "demographics_census", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000303::difficulty=1-hop", "question": "Which 'region' has the highest 'population_k' value?", "answer": "south", "modality": "tabular", "data_id": "demographics_census", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000304::difficulty=1-hop", "question": "Which 'region' has the lowest 'median_age' value?", "answer": "west", "modality": "tabular", "data_id": "demographics_census", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000305::difficulty=1-hop", "question": "Which 'region' has the highest 'urbanization_pct' value?", "answer": "west", "modality": "tabular", "data_id": "demographics_census", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000306::difficulty=1-hop", "question": "Which 'region' has the lowest 'population_k' value?", "answer": "west", "modality": "tabular", "data_id": "demographics_census", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000307::difficulty=1-hop", "question": "Which 'region' has the highest 'median_age' value?", "answer": "north", "modality": "tabular", "data_id": "demographics_census", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000308::difficulty=2-hop", "question": "Is 'population_k' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "demographics_census", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000309::difficulty=2-hop", "question": "Is 'median_age' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "demographics_census", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000310::difficulty=2-hop", "question": "What is the sum of 'population_k' across all rows? Round to 2 decimals.", "answer": "37121.0", "modality": "tabular", "data_id": "demographics_census", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000311::difficulty=2-hop", "question": "How many rows have 'population_k' strictly greater than 1496.0?", "answer": "11", "modality": "tabular", "data_id": "demographics_census", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000312::difficulty=2-hop", "question": "What is the average of 'median_age' across all rows? Round to 2 decimals.", "answer": "37.97", "modality": "tabular", "data_id": "demographics_census", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000313::difficulty=2-hop", "question": "How many rows have 'median_age' strictly greater than 40.6?", "answer": "8", "modality": "tabular", "data_id": "demographics_census", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000314::difficulty=2-hop", "question": "What is the median of 'urbanization_pct' across all rows? Round to 2 decimals.", "answer": "62.3", "modality": "tabular", "data_id": "demographics_census", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000315::difficulty=2-hop", "question": "How many rows have 'urbanization_pct' strictly greater than 62.1?", "answer": "11", "modality": "tabular", "data_id": "demographics_census", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000316::difficulty=3-hop", "question": "Which column has the higher average value: 'population_k' or 'median_age'?", "answer": "population_k", "modality": "tabular", "data_id": "demographics_census", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000317::difficulty=3-hop", "question": "Which 'region' entry deviates most from the mean of 'population_k'?", "answer": "south", "modality": "tabular", "data_id": "demographics_census", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000318::difficulty=3-hop", "question": "Do 'population_k' and 'median_age' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "demographics_census", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000319::difficulty=3-hop", "question": "Which 'region' entry deviates most from the mean of 'median_age'?", "answer": "north", "modality": "tabular", "data_id": "demographics_census", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000320::difficulty=3-hop", "question": "Do 'median_age' and 'urbanization_pct' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "demographics_census", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000321::difficulty=3-hop", "question": "Which 'region' entry deviates most from the mean of 'urbanization_pct'?", "answer": "west", "modality": "tabular", "data_id": "demographics_census", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000322::difficulty=counterfactual", "question": "If all values in 'population_k' were increased by 10%, would it still exceed 'median_age' on average?", "answer": "yes", "modality": "tabular", "data_id": "demographics_census", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000323::difficulty=counterfactual", "question": "If all values in 'population_k' were multiplied by 1.2, would 'population_k' remain above 'median_age' on average?", "answer": "yes", "modality": "tabular", "data_id": "demographics_census", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000324::difficulty=counterfactual", "question": "If all values in 'median_age' were multiplied by 0.85, would 'median_age' remain above 'urbanization_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "demographics_census", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Census-style demographic snapshots by region and year.", "column_descriptions": {"region": "Geographic region.", "census_year": "Reference census year.", "population_k": "Population in thousands.", "median_age": "Median age of residents.", "urbanization_pct": "Population share in urban areas.", "growth_tier": "Population growth classification."}}, "data_format": "dataframe_records", "data": [{"region": "east", "census_year": "2010-01-01T00:00:00.000", "population_k": 3334, "median_age": 30.5, "urbanization_pct": 53.9, "growth_tier": "stable"}, {"region": "west", "census_year": "2011-01-01T00:00:00.000", "population_k": 277, "median_age": 35.3, "urbanization_pct": 81.2, "growth_tier": "declining"}, {"region": "north", "census_year": "2012-01-01T00:00:00.000", "population_k": 1925, "median_age": 47.4, "urbanization_pct": 60.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2013-01-01T00:00:00.000", "population_k": 2937, "median_age": 31.7, "urbanization_pct": 55.4, "growth_tier": "growing"}, {"region": "east", "census_year": "2014-01-01T00:00:00.000", "population_k": 859, "median_age": 31.0, "urbanization_pct": 50.1, "growth_tier": "growing"}, {"region": "south", "census_year": "2015-01-01T00:00:00.000", "population_k": 2354, "median_age": 38.6, "urbanization_pct": 56.9, "growth_tier": "growing"}, {"region": "central", "census_year": "2016-01-01T00:00:00.000", "population_k": 2257, "median_age": 42.0, "urbanization_pct": 73.4, "growth_tier": "growing"}, {"region": "west", "census_year": "2017-01-01T00:00:00.000", "population_k": 1146, "median_age": 30.0, "urbanization_pct": 69.7, "growth_tier": "declining"}, {"region": "central", "census_year": "2018-01-01T00:00:00.000", "population_k": 2522, "median_age": 43.8, "urbanization_pct": 60.7, "growth_tier": "declining"}, {"region": "north", "census_year": "2019-01-01T00:00:00.000", "population_k": 676, "median_age": 45.8, "urbanization_pct": 51.8, "growth_tier": "declining"}, {"region": "east", "census_year": "2020-01-01T00:00:00.000", "population_k": 635, "median_age": 31.3, "urbanization_pct": 56.9, "growth_tier": "declining"}, {"region": "south", "census_year": "2021-01-01T00:00:00.000", "population_k": 3408, "median_age": 41.9, "urbanization_pct": 69.8, "growth_tier": "growing"}, {"region": "west", "census_year": "2022-01-01T00:00:00.000", "population_k": 2696, "median_age": 40.7, "urbanization_pct": 80.7, "growth_tier": "growing"}, {"region": "west", "census_year": "2023-01-01T00:00:00.000", "population_k": 216, "median_age": 44.3, "urbanization_pct": 70.5, "growth_tier": "stable"}, {"region": "north", "census_year": "2024-01-01T00:00:00.000", "population_k": 794, "median_age": 35.9, "urbanization_pct": 63.2, "growth_tier": "growing"}, {"region": "west", "census_year": "2025-01-01T00:00:00.000", "population_k": 2179, "median_age": 29.7, "urbanization_pct": 51.0, "growth_tier": "declining"}, {"region": "central", "census_year": "2026-01-01T00:00:00.000", "population_k": 1496, "median_age": 40.6, "urbanization_pct": 67.0, "growth_tier": "growing"}, {"region": "east", "census_year": "2027-01-01T00:00:00.000", "population_k": 1857, "median_age": 44.1, "urbanization_pct": 62.1, "growth_tier": "stable"}, {"region": "west", "census_year": "2028-01-01T00:00:00.000", "population_k": 3237, "median_age": 37.6, "urbanization_pct": 72.9, "growth_tier": "stable"}, {"region": "north", "census_year": "2029-01-01T00:00:00.000", "population_k": 1091, "median_age": 34.9, "urbanization_pct": 62.3, "growth_tier": "growing"}, {"region": "east", "census_year": "2030-01-01T00:00:00.000", "population_k": 1225, "median_age": 40.3, "urbanization_pct": 62.3, "growth_tier": "stable"}], "data_columns": ["region", "census_year", "population_k", "median_age", "urbanization_pct", "growth_tier"], "source": "synthetic"}
{"question_id": "tabular_000325::difficulty=1-hop", "question": "What is the value of 'district' in row 0?", "answer": "D4", "modality": "tabular", "data_id": "demographics_income", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000326::difficulty=1-hop", "question": "What is the value of 'survey_date' in row 0?", "answer": "2024-01-07 00:00:00", "modality": "tabular", "data_id": "demographics_income", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000327::difficulty=1-hop", "question": "What is the value of 'median_income_usd' in row 0?", "answer": "42731.23", "modality": "tabular", "data_id": "demographics_income", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000328::difficulty=1-hop", "question": "Which 'district' has the highest 'median_income_usd' value?", "answer": "D4", "modality": "tabular", "data_id": "demographics_income", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000329::difficulty=1-hop", "question": "Which 'district' has the lowest 'unemployment_pct' value?", "answer": "D3", "modality": "tabular", "data_id": "demographics_income", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000330::difficulty=1-hop", "question": "Which 'district' has the highest 'household_size' value?", "answer": "D1", "modality": "tabular", "data_id": "demographics_income", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000331::difficulty=1-hop", "question": "Which 'district' has the lowest 'median_income_usd' value?", "answer": "D4", "modality": "tabular", "data_id": "demographics_income", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000332::difficulty=2-hop", "question": "Is 'median_income_usd' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "demographics_income", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000333::difficulty=2-hop", "question": "Is 'unemployment_pct' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "demographics_income", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000334::difficulty=2-hop", "question": "What is the sum of 'median_income_usd' across all rows? Round to 2 decimals.", "answer": "1193243.65", "modality": "tabular", "data_id": "demographics_income", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000335::difficulty=2-hop", "question": "How many rows have 'median_income_usd' strictly greater than 59519.27?", "answer": "11", "modality": "tabular", "data_id": "demographics_income", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000336::difficulty=2-hop", "question": "What is the average of 'unemployment_pct' across all rows? Round to 2 decimals.", "answer": "5.16", "modality": "tabular", "data_id": "demographics_income", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000337::difficulty=2-hop", "question": "How many rows have 'unemployment_pct' strictly greater than 5.16?", "answer": "8", "modality": "tabular", "data_id": "demographics_income", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000338::difficulty=2-hop", "question": "What is the median of 'household_size' across all rows? Round to 2 decimals.", "answer": "2.76", "modality": "tabular", "data_id": "demographics_income", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000339::difficulty=3-hop", "question": "Which column has the higher average value: 'median_income_usd' or 'unemployment_pct'?", "answer": "median_income_usd", "modality": "tabular", "data_id": "demographics_income", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000340::difficulty=3-hop", "question": "Which 'district' entry deviates most from the mean of 'median_income_usd'?", "answer": "D4", "modality": "tabular", "data_id": "demographics_income", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000341::difficulty=3-hop", "question": "Do 'median_income_usd' and 'unemployment_pct' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "demographics_income", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000342::difficulty=3-hop", "question": "Which 'district' entry deviates most from the mean of 'unemployment_pct'?", "answer": "D4", "modality": "tabular", "data_id": "demographics_income", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000343::difficulty=3-hop", "question": "Do 'unemployment_pct' and 'household_size' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "demographics_income", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000344::difficulty=3-hop", "question": "Which 'district' entry deviates most from the mean of 'household_size'?", "answer": "D3", "modality": "tabular", "data_id": "demographics_income", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000345::difficulty=3-hop", "question": "Do 'household_size' and 'median_income_usd' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "demographics_income", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000346::difficulty=counterfactual", "question": "If all values in 'median_income_usd' were increased by 10%, would it still exceed 'unemployment_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "demographics_income", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000347::difficulty=counterfactual", "question": "If all values in 'median_income_usd' were multiplied by 1.2, would 'median_income_usd' remain above 'unemployment_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "demographics_income", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000348::difficulty=counterfactual", "question": "If all values in 'unemployment_pct' were multiplied by 0.85, would 'unemployment_pct' remain above 'household_size' on average?", "answer": "yes", "modality": "tabular", "data_id": "demographics_income", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000349::difficulty=counterfactual", "question": "If all values in 'household_size' were multiplied by 1.2, would 'household_size' remain above 'median_income_usd' on average?", "answer": "yes", "modality": "tabular", "data_id": "demographics_income", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "demographics", "description": "Socioeconomic district indicators from household surveys.", "column_descriptions": {"district": "Surveyed district code.", "survey_date": "Date of survey period.", "median_income_usd": "Median household income in USD.", "unemployment_pct": "District unemployment percentage.", "household_size": "Average household size.", "housing_type": "Dominant housing tenure type."}}, "data_format": "dataframe_records", "data": [{"district": "D4", "survey_date": "2024-01-07T00:00:00.000", "median_income_usd": 42731.23, "unemployment_pct": 8.5, "household_size": 2.73, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-01-21T00:00:00.000", "median_income_usd": 55177.17, "unemployment_pct": 5.69, "household_size": 2.47, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-02-04T00:00:00.000", "median_income_usd": 61470.08, "unemployment_pct": 3.75, "household_size": 3.19, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-02-18T00:00:00.000", "median_income_usd": 56190.75, "unemployment_pct": 3.88, "household_size": 2.94, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-03-03T00:00:00.000", "median_income_usd": 68751.44, "unemployment_pct": 5.14, "household_size": 3.05, "housing_type": "mixed"}, {"district": "D4", "survey_date": "2024-03-17T00:00:00.000", "median_income_usd": 76411.26, "unemployment_pct": 4.68, "household_size": 2.06, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-03-31T00:00:00.000", "median_income_usd": 56101.78, "unemployment_pct": 6.08, "household_size": 1.87, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-04-14T00:00:00.000", "median_income_usd": 55669.81, "unemployment_pct": 4.31, "household_size": 3.01, "housing_type": "rented"}, {"district": "D1", "survey_date": "2024-04-28T00:00:00.000", "median_income_usd": 59361.51, "unemployment_pct": 6.55, "household_size": 3.4, "housing_type": "rented"}, {"district": "D2", "survey_date": "2024-05-12T00:00:00.000", "median_income_usd": 56119.43, "unemployment_pct": 5.2, "household_size": 3.06, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-05-26T00:00:00.000", "median_income_usd": 59648.35, "unemployment_pct": 5.69, "household_size": 3.28, "housing_type": "owned"}, {"district": "D5", "survey_date": "2024-06-09T00:00:00.000", "median_income_usd": 50579.95, "unemployment_pct": 7.01, "household_size": 2.8, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-06-23T00:00:00.000", "median_income_usd": 73033.45, "unemployment_pct": 6.47, "household_size": 2.5, "housing_type": "rented"}, {"district": "D3", "survey_date": "2024-07-07T00:00:00.000", "median_income_usd": 59773.77, "unemployment_pct": 5.14, "household_size": 2.94, "housing_type": "rented"}, {"district": "D5", "survey_date": "2024-07-21T00:00:00.000", "median_income_usd": 63194.41, "unemployment_pct": 4.88, "household_size": 2.91, "housing_type": "owned"}, {"district": "D1", "survey_date": "2024-08-04T00:00:00.000", "median_income_usd": 64503.48, "unemployment_pct": 5.09, "household_size": 2.1, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-08-18T00:00:00.000", "median_income_usd": 42764.47, "unemployment_pct": 3.62, "household_size": 2.25, "housing_type": "mixed"}, {"district": "D3", "survey_date": "2024-09-01T00:00:00.000", "median_income_usd": 62233.57, "unemployment_pct": 2.73, "household_size": 2.11, "housing_type": "owned"}, {"district": "D3", "survey_date": "2024-09-15T00:00:00.000", "median_income_usd": 67012.73, "unemployment_pct": 3.83, "household_size": 1.66, "housing_type": "rented"}, {"district": "D4", "survey_date": "2024-09-29T00:00:00.000", "median_income_usd": 62515.01, "unemployment_pct": 5.04, "household_size": 1.93, "housing_type": "mixed"}], "data_columns": ["district", "survey_date", "median_income_usd", "unemployment_pct", "household_size", "housing_type"], "source": "synthetic"}
{"question_id": "tabular_000350::difficulty=1-hop", "question": "What is the value of 'corridor' in row 0?", "answer": "C18", "modality": "tabular", "data_id": "transportation_traffic", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000351::difficulty=1-hop", "question": "What is the value of 'day' in row 0?", "answer": "2024-05-01 00:00:00", "modality": "tabular", "data_id": "transportation_traffic", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000352::difficulty=1-hop", "question": "What is the value of 'vehicle_count' in row 0?", "answer": "5545", "modality": "tabular", "data_id": "transportation_traffic", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000353::difficulty=1-hop", "question": "Which 'corridor' has the highest 'vehicle_count' value?", "answer": "A12", "modality": "tabular", "data_id": "transportation_traffic", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, 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{"question_id": "tabular_000354::difficulty=1-hop", "question": "Which 'corridor' has the lowest 'avg_speed_kmh' value?", "answer": "D03", "modality": "tabular", "data_id": "transportation_traffic", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, 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{"question_id": "tabular_000355::difficulty=1-hop", "question": "Which 'corridor' has the highest 'vehicle_count' value?", "answer": "A12", "modality": "tabular", "data_id": "transportation_traffic", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, 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{"question_id": "tabular_000356::difficulty=1-hop", "question": "Which 'corridor' has the lowest 'avg_speed_kmh' value?", "answer": "D03", "modality": "tabular", "data_id": "transportation_traffic", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, 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"avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000357::difficulty=1-hop", "question": "Which 'corridor' has the highest 'vehicle_count' value?", "answer": "A12", "modality": "tabular", "data_id": "transportation_traffic", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000358::difficulty=2-hop", "question": "Is 'vehicle_count' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "transportation_traffic", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000359::difficulty=2-hop", "question": "Is 'avg_speed_kmh' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "transportation_traffic", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000360::difficulty=2-hop", "question": "What is the sum of 'vehicle_count' across all rows? Round to 2 decimals.", "answer": "181714.0", "modality": "tabular", "data_id": "transportation_traffic", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000361::difficulty=2-hop", "question": "How many rows have 'vehicle_count' strictly greater than 5150.65?", "answer": "18", "modality": "tabular", "data_id": "transportation_traffic", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000362::difficulty=2-hop", "question": "What is the average of 'avg_speed_kmh' across all rows? Round to 2 decimals.", "answer": "58.04", "modality": "tabular", "data_id": "transportation_traffic", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000363::difficulty=2-hop", "question": "How many rows have 'avg_speed_kmh' strictly greater than 58.5?", "answer": "13", "modality": "tabular", "data_id": "transportation_traffic", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000364::difficulty=2-hop", "question": "What is the median of 'vehicle_count' across all rows? Round to 2 decimals.", "answer": "5352.5", "modality": "tabular", "data_id": "transportation_traffic", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000365::difficulty=2-hop", "question": "How many rows have 'vehicle_count' strictly greater than 5150.65?", "answer": "18", "modality": "tabular", "data_id": "transportation_traffic", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000366::difficulty=3-hop", "question": "Which column has the higher average value: 'vehicle_count' or 'avg_speed_kmh'?", "answer": "vehicle_count", "modality": "tabular", "data_id": "transportation_traffic", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000367::difficulty=3-hop", "question": "Which 'corridor' entry deviates most from the mean of 'vehicle_count'?", "answer": "A12", "modality": "tabular", "data_id": "transportation_traffic", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000368::difficulty=3-hop", "question": "Do 'vehicle_count' and 'avg_speed_kmh' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "transportation_traffic", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000369::difficulty=3-hop", "question": "Which 'corridor' entry deviates most from the mean of 'avg_speed_kmh'?", "answer": "A12", "modality": "tabular", "data_id": "transportation_traffic", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000370::difficulty=3-hop", "question": "Do 'avg_speed_kmh' and 'vehicle_count' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "transportation_traffic", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000371::difficulty=3-hop", "question": "Which 'corridor' entry deviates most from the mean of 'vehicle_count'?", "answer": "A12", "modality": "tabular", "data_id": "transportation_traffic", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000372::difficulty=counterfactual", "question": "If all values in 'vehicle_count' were increased by 10%, would it still exceed 'avg_speed_kmh' on average?", "answer": "yes", "modality": "tabular", "data_id": "transportation_traffic", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000373::difficulty=counterfactual", "question": "If all values in 'vehicle_count' were multiplied by 1.2, would 'vehicle_count' remain above 'avg_speed_kmh' on average?", "answer": "yes", "modality": "tabular", "data_id": "transportation_traffic", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": "congested"}, {"corridor": "B07", "day": "2024-05-02T00:00:00.000", "vehicle_count": 5346, "avg_speed_kmh": 62.11, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-03T00:00:00.000", "vehicle_count": 2209, "avg_speed_kmh": 53.45, "incident_count": 7, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-04T00:00:00.000", "vehicle_count": 6605, "avg_speed_kmh": 66.92, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-05T00:00:00.000", "vehicle_count": 8933, "avg_speed_kmh": 46.35, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-06T00:00:00.000", "vehicle_count": 6199, "avg_speed_kmh": 79.49, "incident_count": 5, "traffic_state": "moderate"}, {"corridor": "B07", "day": "2024-05-07T00:00:00.000", "vehicle_count": 4494, "avg_speed_kmh": 65.37, "incident_count": 0, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-08T00:00:00.000", "vehicle_count": 5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000374::difficulty=counterfactual", "question": "If all values in 'avg_speed_kmh' were multiplied by 0.85, would 'avg_speed_kmh' remain above 'vehicle_count' on average?", "answer": "yes", "modality": "tabular", "data_id": "transportation_traffic", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "transportation", "description": "Daily roadway traffic and incident indicators.", "column_descriptions": {"corridor": "Road corridor identifier.", "day": "Observation day.", "vehicle_count": "Total observed vehicles.", "avg_speed_kmh": "Average speed in km/h.", "incident_count": "Traffic incidents observed.", "traffic_state": "Categorized traffic condition."}}, "data_format": "dataframe_records", "data": [{"corridor": "C18", "day": "2024-05-01T00:00:00.000", "vehicle_count": 5545, "avg_speed_kmh": 56.32, "incident_count": 2, "traffic_state": 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5155, "avg_speed_kmh": 64.1, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-09T00:00:00.000", "vehicle_count": 8030, "avg_speed_kmh": 54.75, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-10T00:00:00.000", "vehicle_count": 9790, "avg_speed_kmh": 65.59, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-11T00:00:00.000", "vehicle_count": 3571, "avg_speed_kmh": 69.92, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "D03", "day": "2024-05-12T00:00:00.000", "vehicle_count": 4127, "avg_speed_kmh": 73.17, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-13T00:00:00.000", "vehicle_count": 9753, "avg_speed_kmh": 55.61, "incident_count": 8, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-14T00:00:00.000", "vehicle_count": 6741, "avg_speed_kmh": 59.03, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "D03", "day": "2024-05-15T00:00:00.000", "vehicle_count": 1966, "avg_speed_kmh": 44.96, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-16T00:00:00.000", "vehicle_count": 5849, "avg_speed_kmh": 49.86, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "C18", "day": "2024-05-17T00:00:00.000", "vehicle_count": 6427, "avg_speed_kmh": 54.06, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "B07", "day": "2024-05-18T00:00:00.000", "vehicle_count": 5068, "avg_speed_kmh": 61.06, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-19T00:00:00.000", "vehicle_count": 4291, "avg_speed_kmh": 54.58, "incident_count": 4, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-20T00:00:00.000", "vehicle_count": 7253, "avg_speed_kmh": 69.57, "incident_count": 3, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-21T00:00:00.000", "vehicle_count": 6261, "avg_speed_kmh": 47.61, "incident_count": 5, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-22T00:00:00.000", "vehicle_count": 9803, "avg_speed_kmh": 56.56, "incident_count": 8, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-23T00:00:00.000", "vehicle_count": 8791, "avg_speed_kmh": 65.26, "incident_count": 0, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-24T00:00:00.000", "vehicle_count": 2835, "avg_speed_kmh": 57.71, "incident_count": 7, "traffic_state": "free_flow"}, {"corridor": "A12", "day": "2024-05-25T00:00:00.000", "vehicle_count": 3873, "avg_speed_kmh": 55.96, "incident_count": 6, "traffic_state": "moderate"}, {"corridor": "C18", "day": "2024-05-26T00:00:00.000", "vehicle_count": 4172, "avg_speed_kmh": 52.27, "incident_count": 1, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-27T00:00:00.000", "vehicle_count": 5359, "avg_speed_kmh": 54.76, "incident_count": 8, "traffic_state": "congested"}, {"corridor": "A12", "day": "2024-05-28T00:00:00.000", "vehicle_count": 2870, "avg_speed_kmh": 47.39, "incident_count": 0, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-05-29T00:00:00.000", "vehicle_count": 6966, "avg_speed_kmh": 49.49, "incident_count": 4, "traffic_state": "free_flow"}, {"corridor": "C18", "day": "2024-05-30T00:00:00.000", "vehicle_count": 5048, "avg_speed_kmh": 63.65, "incident_count": 4, "traffic_state": "moderate"}, {"corridor": "A12", "day": "2024-05-31T00:00:00.000", "vehicle_count": 4717, "avg_speed_kmh": 55.73, "incident_count": 6, "traffic_state": "congested"}, {"corridor": "D03", "day": "2024-06-01T00:00:00.000", "vehicle_count": 3667, "avg_speed_kmh": 44.63, "incident_count": 7, "traffic_state": "free_flow"}], "data_columns": ["corridor", "day", "vehicle_count", "avg_speed_kmh", "incident_count", "traffic_state"], "source": "synthetic"}
{"question_id": "tabular_000375::difficulty=1-hop", "question": "What is the value of 'zone' in row 0?", "answer": "east_grid", "modality": "tabular", "data_id": "energy_grid_load", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000376::difficulty=1-hop", "question": "What is the value of 'hour_start' in row 0?", "answer": "2024-06-01 00:00:00", "modality": "tabular", "data_id": "energy_grid_load", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000377::difficulty=1-hop", "question": "What is the value of 'load_mw' in row 0?", "answer": "1132.98", "modality": "tabular", "data_id": "energy_grid_load", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000378::difficulty=1-hop", "question": "Which 'zone' has the highest 'load_mw' value?", "answer": "north_grid", "modality": "tabular", "data_id": "energy_grid_load", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000379::difficulty=1-hop", "question": "Which 'zone' has the lowest 'renewable_share_pct' value?", "answer": "east_grid", "modality": "tabular", "data_id": "energy_grid_load", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000380::difficulty=1-hop", "question": "Which 'zone' has the highest 'spot_price_usd' value?", "answer": "east_grid", "modality": "tabular", "data_id": "energy_grid_load", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000381::difficulty=1-hop", "question": "Which 'zone' has the lowest 'load_mw' value?", "answer": "south_grid", "modality": "tabular", "data_id": "energy_grid_load", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000382::difficulty=2-hop", "question": "Is 'load_mw' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "energy_grid_load", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000383::difficulty=2-hop", "question": "Is 'renewable_share_pct' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "energy_grid_load", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000384::difficulty=2-hop", "question": "What is the sum of 'load_mw' across all rows? Round to 2 decimals.", "answer": "21677.71", "modality": "tabular", "data_id": "energy_grid_load", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000385::difficulty=2-hop", "question": "How many rows have 'load_mw' strictly greater than 885.34?", "answer": "13", "modality": "tabular", "data_id": "energy_grid_load", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000386::difficulty=2-hop", "question": "What is the average of 'renewable_share_pct' across all rows? Round to 2 decimals.", "answer": "39.68", "modality": "tabular", "data_id": "energy_grid_load", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000387::difficulty=2-hop", "question": "How many rows have 'renewable_share_pct' strictly greater than 41.71?", "answer": "10", "modality": "tabular", "data_id": "energy_grid_load", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000388::difficulty=2-hop", "question": "What is the median of 'spot_price_usd' across all rows? Round to 2 decimals.", "answer": "76.18", "modality": "tabular", "data_id": "energy_grid_load", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000389::difficulty=3-hop", "question": "Which column has the higher average value: 'load_mw' or 'renewable_share_pct'?", "answer": "load_mw", "modality": "tabular", "data_id": "energy_grid_load", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000390::difficulty=3-hop", "question": "Which 'zone' entry deviates most from the mean of 'load_mw'?", "answer": "south_grid", "modality": "tabular", "data_id": "energy_grid_load", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000391::difficulty=3-hop", "question": "Do 'load_mw' and 'renewable_share_pct' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "energy_grid_load", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000392::difficulty=3-hop", "question": "Which 'zone' entry deviates most from the mean of 'renewable_share_pct'?", "answer": "north_grid", "modality": "tabular", "data_id": "energy_grid_load", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000393::difficulty=3-hop", "question": "Do 'renewable_share_pct' and 'spot_price_usd' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "energy_grid_load", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000394::difficulty=3-hop", "question": "Which 'zone' entry deviates most from the mean of 'spot_price_usd'?", "answer": "east_grid", "modality": "tabular", "data_id": "energy_grid_load", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000395::difficulty=3-hop", "question": "Do 'spot_price_usd' and 'load_mw' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "energy_grid_load", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000396::difficulty=counterfactual", "question": "If all values in 'load_mw' were increased by 10%, would it still exceed 'renewable_share_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "energy_grid_load", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000397::difficulty=counterfactual", "question": "If all values in 'load_mw' were multiplied by 1.2, would 'load_mw' remain above 'renewable_share_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "energy_grid_load", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000398::difficulty=counterfactual", "question": "If all values in 'renewable_share_pct' were multiplied by 0.85, would 'renewable_share_pct' remain above 'spot_price_usd' on average?", "answer": "yes", "modality": "tabular", "data_id": "energy_grid_load", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000399::difficulty=counterfactual", "question": "If all values in 'spot_price_usd' were multiplied by 1.2, would 'spot_price_usd' remain above 'load_mw' on average?", "answer": "yes", "modality": "tabular", "data_id": "energy_grid_load", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "energy", "description": "Hourly electricity load and market indicators by grid zone.", "column_descriptions": {"zone": "Electric grid zone.", "hour_start": "Hour block start timestamp.", "load_mw": "Average load in megawatts.", "renewable_share_pct": "Share of renewable generation.", "spot_price_usd": "Spot market price in USD per MWh.", "demand_band": "Demand period classification."}}, "data_format": "dataframe_records", "data": [{"zone": "east_grid", "hour_start": "2024-06-01T00:00:00.000", "load_mw": 1132.98, "renewable_share_pct": 55.4, "spot_price_usd": 78.02, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T01:00:00.000", "load_mw": 873.69, "renewable_share_pct": 41.27, "spot_price_usd": 64.17, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T02:00:00.000", "load_mw": 1131.86, "renewable_share_pct": 26.87, "spot_price_usd": 87.08, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T03:00:00.000", "load_mw": 910.93, "renewable_share_pct": 38.12, "spot_price_usd": 45.51, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T04:00:00.000", "load_mw": 960.73, "renewable_share_pct": 33.43, "spot_price_usd": 86.96, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T05:00:00.000", "load_mw": 925.95, "renewable_share_pct": 34.16, "spot_price_usd": 83.87, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T06:00:00.000", "load_mw": 944.74, "renewable_share_pct": 38.32, "spot_price_usd": 69.37, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T07:00:00.000", "load_mw": 822.15, "renewable_share_pct": 14.45, "spot_price_usd": 60.75, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T08:00:00.000", "load_mw": 852.37, "renewable_share_pct": 46.7, "spot_price_usd": 70.05, "demand_band": "peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T09:00:00.000", "load_mw": 877.7, "renewable_share_pct": 25.53, "spot_price_usd": 77.41, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T10:00:00.000", "load_mw": 960.76, "renewable_share_pct": 39.82, "spot_price_usd": 67.66, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T11:00:00.000", "load_mw": 857.78, "renewable_share_pct": 33.75, "spot_price_usd": 75.12, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T12:00:00.000", "load_mw": 899.54, "renewable_share_pct": 43.66, "spot_price_usd": 77.05, "demand_band": "off_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T13:00:00.000", "load_mw": 1136.63, "renewable_share_pct": 68.49, "spot_price_usd": 78.18, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T14:00:00.000", "load_mw": 710.11, "renewable_share_pct": 46.67, "spot_price_usd": 71.5, "demand_band": "mid_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T15:00:00.000", "load_mw": 1125.26, "renewable_share_pct": 26.69, "spot_price_usd": 111.65, "demand_band": "peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T16:00:00.000", "load_mw": 795.3, "renewable_share_pct": 30.32, "spot_price_usd": 67.07, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T17:00:00.000", "load_mw": 991.09, "renewable_share_pct": 40.16, "spot_price_usd": 54.64, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T18:00:00.000", "load_mw": 689.13, "renewable_share_pct": 46.66, "spot_price_usd": 77.45, "demand_band": "mid_peak"}, {"zone": "north_grid", "hour_start": "2024-06-01T19:00:00.000", "load_mw": 1052.61, "renewable_share_pct": 41.82, "spot_price_usd": 76.31, "demand_band": "off_peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T20:00:00.000", "load_mw": 611.25, "renewable_share_pct": 54.24, "spot_price_usd": 64.83, "demand_band": "off_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T21:00:00.000", "load_mw": 963.17, "renewable_share_pct": 26.36, "spot_price_usd": 76.04, "demand_band": "peak"}, {"zone": "east_grid", "hour_start": "2024-06-01T22:00:00.000", "load_mw": 844.81, "renewable_share_pct": 50.35, "spot_price_usd": 89.82, "demand_band": "mid_peak"}, {"zone": "south_grid", "hour_start": "2024-06-01T23:00:00.000", "load_mw": 607.17, "renewable_share_pct": 49.1, "spot_price_usd": 99.26, "demand_band": "off_peak"}], "data_columns": ["zone", "hour_start", "load_mw", "renewable_share_pct", "spot_price_usd", "demand_band"], "source": "synthetic"}
{"question_id": "tabular_000400::difficulty=1-hop", "question": "What is the value of 'farm_zone' in row 0?", "answer": "zone_2", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000401::difficulty=1-hop", "question": "What is the value of 'harvest_month' in row 0?", "answer": "2023-04-01 00:00:00", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000402::difficulty=1-hop", "question": "What is the value of 'yield_ton' in row 0?", "answer": "94.65", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000403::difficulty=1-hop", "question": "Which 'farm_zone' has the highest 'yield_ton' value?", "answer": "zone_2", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000404::difficulty=1-hop", "question": "Which 'farm_zone' has the lowest 'rainfall_mm' value?", "answer": "zone_4", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000405::difficulty=1-hop", "question": "Which 'farm_zone' has the highest 'fertilizer_kg' value?", "answer": "zone_3", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000406::difficulty=1-hop", "question": "Which 'farm_zone' has the lowest 'yield_ton' value?", "answer": "zone_3", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000407::difficulty=1-hop", "question": "Which 'farm_zone' has the highest 'rainfall_mm' value?", "answer": "zone_2", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000408::difficulty=2-hop", "question": "Is 'yield_ton' generally increasing or decreasing across rows?", "answer": "decreasing", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000409::difficulty=2-hop", "question": "Is 'rainfall_mm' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000410::difficulty=2-hop", "question": "What is the sum of 'yield_ton' across all rows? Round to 2 decimals.", "answer": "1570.5", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000411::difficulty=2-hop", "question": "How many rows have 'yield_ton' strictly greater than 90.81?", "answer": "9", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000412::difficulty=2-hop", "question": "What is the average of 'rainfall_mm' across all rows? Round to 2 decimals.", "answer": "79.75", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000413::difficulty=2-hop", "question": "How many rows have 'rainfall_mm' strictly greater than 88.95?", "answer": "7", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000414::difficulty=2-hop", "question": "What is the median of 'fertilizer_kg' across all rows? Round to 2 decimals.", "answer": "168.83", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000415::difficulty=2-hop", "question": "How many rows have 'fertilizer_kg' strictly greater than 163.24?", "answer": "9", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000416::difficulty=3-hop", "question": "Which column has the higher average value: 'yield_ton' or 'rainfall_mm'?", "answer": "yield_ton", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000417::difficulty=3-hop", "question": "Which 'farm_zone' entry deviates most from the mean of 'yield_ton'?", "answer": "zone_3", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000418::difficulty=3-hop", "question": "Do 'yield_ton' and 'rainfall_mm' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000419::difficulty=3-hop", "question": "Which 'farm_zone' entry deviates most from the mean of 'rainfall_mm'?", "answer": "zone_4", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000420::difficulty=3-hop", "question": "Do 'rainfall_mm' and 'fertilizer_kg' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000421::difficulty=3-hop", "question": "Which 'farm_zone' entry deviates most from the mean of 'fertilizer_kg'?", "answer": "zone_3", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000422::difficulty=counterfactual", "question": "If all values in 'yield_ton' were increased by 10%, would it still exceed 'rainfall_mm' on average?", "answer": "yes", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000423::difficulty=counterfactual", "question": "If all values in 'yield_ton' were multiplied by 1.2, would 'yield_ton' remain above 'rainfall_mm' on average?", "answer": "yes", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000424::difficulty=counterfactual", "question": "If all values in 'rainfall_mm' were multiplied by 0.85, would 'rainfall_mm' remain above 'fertilizer_kg' on average?", "answer": "yes", "modality": "tabular", "data_id": "agriculture_crop_yield", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "agriculture", "description": "Monthly crop yield and input factors by farm zone.", "column_descriptions": {"farm_zone": "Agricultural zone identifier.", "harvest_month": "Month of harvest record.", "yield_ton": "Crop yield in tons.", "rainfall_mm": "Rainfall in mm over period.", "fertilizer_kg": "Fertilizer applied in kilograms.", "crop_type": "Dominant crop type."}}, "data_format": "dataframe_records", "data": [{"farm_zone": "zone_2", "harvest_month": "2023-04-01T00:00:00.000", "yield_ton": 94.65, "rainfall_mm": 44.5, "fertilizer_kg": 105.75, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2023-05-01T00:00:00.000", "yield_ton": 67.67, "rainfall_mm": 65.35, "fertilizer_kg": 213.34, "crop_type": "soy"}, {"farm_zone": "zone_3", "harvest_month": "2023-06-01T00:00:00.000", "yield_ton": 32.13, "rainfall_mm": 101.86, "fertilizer_kg": 161.84, "crop_type": "soy"}, {"farm_zone": "zone_2", "harvest_month": "2023-07-01T00:00:00.000", "yield_ton": 137.7, "rainfall_mm": 64.22, "fertilizer_kg": 168.83, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-08-01T00:00:00.000", "yield_ton": 91.6, "rainfall_mm": 93.65, "fertilizer_kg": 190.81, "crop_type": "wheat"}, {"farm_zone": "zone_2", "harvest_month": "2023-09-01T00:00:00.000", "yield_ton": 81.99, "rainfall_mm": 79.4, "fertilizer_kg": 152.96, "crop_type": "soy"}, {"farm_zone": "zone_4", "harvest_month": "2023-10-01T00:00:00.000", "yield_ton": 93.9, "rainfall_mm": 56.42, "fertilizer_kg": 205.14, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-11-01T00:00:00.000", "yield_ton": 90.61, "rainfall_mm": 81.78, "fertilizer_kg": 179.85, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2023-12-01T00:00:00.000", "yield_ton": 133.14, "rainfall_mm": 99.72, "fertilizer_kg": 234.32, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-01-01T00:00:00.000", "yield_ton": 98.94, "rainfall_mm": 83.61, "fertilizer_kg": 90.0, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-02-01T00:00:00.000", "yield_ton": 70.09, "rainfall_mm": 85.23, "fertilizer_kg": 106.31, "crop_type": "corn"}, {"farm_zone": "zone_4", "harvest_month": "2024-03-01T00:00:00.000", "yield_ton": 87.02, "rainfall_mm": 32.71, "fertilizer_kg": 151.79, "crop_type": "wheat"}, {"farm_zone": "zone_4", "harvest_month": "2024-04-01T00:00:00.000", "yield_ton": 80.82, "rainfall_mm": 69.98, "fertilizer_kg": 229.74, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-05-01T00:00:00.000", "yield_ton": 108.04, "rainfall_mm": 91.43, "fertilizer_kg": 139.36, "crop_type": "rice"}, {"farm_zone": "zone_3", "harvest_month": "2024-06-01T00:00:00.000", "yield_ton": 96.4, "rainfall_mm": 103.5, "fertilizer_kg": 187.33, "crop_type": "rice"}, {"farm_zone": "zone_2", "harvest_month": "2024-07-01T00:00:00.000", "yield_ton": 133.08, "rainfall_mm": 109.49, "fertilizer_kg": 126.1, "crop_type": "wheat"}, {"farm_zone": "zone_3", "harvest_month": "2024-08-01T00:00:00.000", "yield_ton": 72.72, "rainfall_mm": 92.85, "fertilizer_kg": 240.97, "crop_type": "rice"}], "data_columns": ["farm_zone", "harvest_month", "yield_ton", "rainfall_mm", "fertilizer_kg", "crop_type"], "source": "synthetic"}
{"question_id": "tabular_000425::difficulty=1-hop", "question": "What is the value of 'line' in row 0?", "answer": "line_c", "modality": "tabular", "data_id": "manufacturing_quality", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000426::difficulty=1-hop", "question": "What is the value of 'inspection_date' in row 0?", "answer": "2024-01-01 00:00:00", "modality": "tabular", "data_id": "manufacturing_quality", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000427::difficulty=1-hop", "question": "What is the value of 'units_produced' in row 0?", "answer": "1291", "modality": "tabular", "data_id": "manufacturing_quality", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000428::difficulty=1-hop", "question": "Which 'line' has the highest 'units_produced' value?", "answer": "line_b", "modality": "tabular", "data_id": "manufacturing_quality", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000429::difficulty=1-hop", "question": "Which 'line' has the lowest 'defect_rate_pct' value?", "answer": "line_b", "modality": "tabular", "data_id": "manufacturing_quality", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000430::difficulty=1-hop", "question": "Which 'line' has the highest 'downtime_hours' value?", "answer": "line_a", "modality": "tabular", "data_id": "manufacturing_quality", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000431::difficulty=1-hop", "question": "Which 'line' has the lowest 'units_produced' value?", "answer": "line_b", "modality": "tabular", "data_id": "manufacturing_quality", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000432::difficulty=2-hop", "question": "Is 'units_produced' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "manufacturing_quality", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000433::difficulty=2-hop", "question": "Is 'defect_rate_pct' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "manufacturing_quality", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000434::difficulty=2-hop", "question": "What is the sum of 'units_produced' across all rows? Round to 2 decimals.", "answer": "38159.0", "modality": "tabular", "data_id": "manufacturing_quality", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000435::difficulty=2-hop", "question": "How many rows have 'units_produced' strictly greater than 1301.5?", "answer": "15", "modality": "tabular", "data_id": "manufacturing_quality", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000436::difficulty=2-hop", "question": "What is the average of 'defect_rate_pct' across all rows? Round to 2 decimals.", "answer": "2.76", "modality": "tabular", "data_id": "manufacturing_quality", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000437::difficulty=2-hop", "question": "How many rows have 'defect_rate_pct' strictly greater than 2.93?", "answer": "11", "modality": "tabular", "data_id": "manufacturing_quality", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000438::difficulty=2-hop", "question": "What is the median of 'downtime_hours' across all rows? Round to 2 decimals.", "answer": "3.19", "modality": "tabular", "data_id": "manufacturing_quality", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000439::difficulty=3-hop", "question": "Which column has the higher average value: 'units_produced' or 'defect_rate_pct'?", "answer": "units_produced", "modality": "tabular", "data_id": "manufacturing_quality", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000440::difficulty=3-hop", "question": "Which 'line' entry deviates most from the mean of 'units_produced'?", "answer": "line_b", "modality": "tabular", "data_id": "manufacturing_quality", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000441::difficulty=3-hop", "question": "Do 'units_produced' and 'defect_rate_pct' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "manufacturing_quality", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000442::difficulty=3-hop", "question": "Which 'line' entry deviates most from the mean of 'defect_rate_pct'?", "answer": "line_b", "modality": "tabular", "data_id": "manufacturing_quality", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000443::difficulty=3-hop", "question": "Do 'defect_rate_pct' and 'downtime_hours' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "manufacturing_quality", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000444::difficulty=3-hop", "question": "Which 'line' entry deviates most from the mean of 'downtime_hours'?", "answer": "line_a", "modality": "tabular", "data_id": "manufacturing_quality", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000445::difficulty=3-hop", "question": "Do 'downtime_hours' and 'units_produced' appear positively or negatively correlated?", "answer": "positive", "modality": "tabular", "data_id": "manufacturing_quality", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000446::difficulty=counterfactual", "question": "If all values in 'units_produced' were increased by 10%, would it still exceed 'defect_rate_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "manufacturing_quality", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000447::difficulty=counterfactual", "question": "If all values in 'units_produced' were multiplied by 1.2, would 'units_produced' remain above 'defect_rate_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "manufacturing_quality", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000448::difficulty=counterfactual", "question": "If all values in 'defect_rate_pct' were multiplied by 0.85, would 'defect_rate_pct' remain above 'downtime_hours' on average?", "answer": "yes", "modality": "tabular", "data_id": "manufacturing_quality", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-22T00:00:00.000", "units_produced": 1306, "defect_rate_pct": 2.48, "downtime_hours": 4.12, "shift": "swing"}], "data_columns": ["line", "inspection_date", "units_produced", "defect_rate_pct", "downtime_hours", "shift"], "source": "synthetic"}
{"question_id": "tabular_000449::difficulty=counterfactual", "question": "If all values in 'downtime_hours' were multiplied by 1.2, would 'downtime_hours' remain above 'units_produced' on average?", "answer": "yes", "modality": "tabular", "data_id": "manufacturing_quality", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "manufacturing", "description": "Quality-control and production metrics by manufacturing line.", "column_descriptions": {"line": "Production line identifier.", "inspection_date": "Date of quality inspection.", "units_produced": "Units produced during interval.", "defect_rate_pct": "Defective units percentage.", "downtime_hours": "Equipment downtime hours.", "shift": "Operational shift label."}}, "data_format": "dataframe_records", "data": [{"line": "line_c", "inspection_date": "2024-01-01T00:00:00.000", "units_produced": 1291, "defect_rate_pct": 2.22, "downtime_hours": 1.54, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-03T00:00:00.000", "units_produced": 1276, "defect_rate_pct": 1.85, "downtime_hours": 3.17, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-05T00:00:00.000", "units_produced": 1054, "defect_rate_pct": 3.55, "downtime_hours": 6.18, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-01-07T00:00:00.000", "units_produced": 1288, "defect_rate_pct": 2.82, "downtime_hours": 3.53, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-09T00:00:00.000", "units_produced": 868, "defect_rate_pct": 3.89, "downtime_hours": 3.15, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-11T00:00:00.000", "units_produced": 1230, "defect_rate_pct": 2.34, "downtime_hours": 3.02, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-01-13T00:00:00.000", "units_produced": 1280, "defect_rate_pct": 0.89, "downtime_hours": 4.99, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-15T00:00:00.000", "units_produced": 874, "defect_rate_pct": 2.96, "downtime_hours": 5.11, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-17T00:00:00.000", "units_produced": 564, "defect_rate_pct": 3.47, "downtime_hours": 1.96, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-19T00:00:00.000", "units_produced": 1426, "defect_rate_pct": 2.46, "downtime_hours": 4.92, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-21T00:00:00.000", "units_produced": 1137, "defect_rate_pct": 1.76, "downtime_hours": 3.09, "shift": "day"}, {"line": "line_c", "inspection_date": "2024-01-23T00:00:00.000", "units_produced": 843, "defect_rate_pct": 1.4, "downtime_hours": 1.87, "shift": "night"}, {"line": "line_c", "inspection_date": "2024-01-25T00:00:00.000", "units_produced": 1947, "defect_rate_pct": 2.88, "downtime_hours": 3.41, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-01-27T00:00:00.000", "units_produced": 1594, "defect_rate_pct": 2.17, "downtime_hours": 2.72, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-01-29T00:00:00.000", "units_produced": 1912, "defect_rate_pct": 3.21, "downtime_hours": 3.08, "shift": "swing"}, {"line": "line_c", "inspection_date": "2024-01-31T00:00:00.000", "units_produced": 1740, "defect_rate_pct": 4.34, "downtime_hours": 3.77, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-02T00:00:00.000", "units_produced": 1862, "defect_rate_pct": 1.81, "downtime_hours": 4.42, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-04T00:00:00.000", "units_produced": 1377, "defect_rate_pct": 2.43, "downtime_hours": 1.49, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-06T00:00:00.000", "units_produced": 1661, "defect_rate_pct": 3.12, "downtime_hours": 2.1, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-08T00:00:00.000", "units_produced": 1983, "defect_rate_pct": 3.99, "downtime_hours": 4.84, "shift": "day"}, {"line": "line_a", "inspection_date": "2024-02-10T00:00:00.000", "units_produced": 1653, "defect_rate_pct": 3.58, "downtime_hours": 3.77, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-12T00:00:00.000", "units_produced": 2084, "defect_rate_pct": 2.67, "downtime_hours": 3.24, "shift": "swing"}, {"line": "line_b", "inspection_date": "2024-02-14T00:00:00.000", "units_produced": 798, "defect_rate_pct": 2.31, "downtime_hours": 3.19, "shift": "day"}, {"line": "line_b", "inspection_date": "2024-02-16T00:00:00.000", "units_produced": 1721, "defect_rate_pct": 2.39, "downtime_hours": 1.27, "shift": "night"}, {"line": "line_b", "inspection_date": "2024-02-18T00:00:00.000", "units_produced": 1456, "defect_rate_pct": 3.62, "downtime_hours": 3.05, "shift": "swing"}, {"line": "line_a", "inspection_date": "2024-02-20T00:00:00.000", "units_produced": 1934, "defect_rate_pct": 3.78, "downtime_hours": 5.07, "shift": "night"}, {"line": "line_b", "inspection_date": 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{"question_id": "tabular_000450::difficulty=1-hop", "question": "What is the value of 'hotel_class' in row 0?", "answer": "luxury", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000451::difficulty=1-hop", "question": "What is the value of 'week_start' in row 0?", "answer": "2024-01-07 00:00:00", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000452::difficulty=1-hop", "question": "What is the value of 'occupancy_pct' in row 0?", "answer": "94.58", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000453::difficulty=1-hop", "question": "Which 'hotel_class' has the highest 'occupancy_pct' value?", "answer": "luxury", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
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{"question_id": "tabular_000459::difficulty=2-hop", "question": "Is 'average_daily_rate_usd' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000460::difficulty=2-hop", "question": "What is the sum of 'occupancy_pct' across all rows? Round to 2 decimals.", "answer": "1150.88", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000461::difficulty=2-hop", "question": "How many rows have 'occupancy_pct' strictly greater than 67.6?", "answer": "9", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000462::difficulty=2-hop", "question": "What is the average of 'average_daily_rate_usd' across all rows? Round to 2 decimals.", "answer": "149.4", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000463::difficulty=2-hop", "question": "How many rows have 'average_daily_rate_usd' strictly greater than 173.99?", "answer": "6", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000464::difficulty=2-hop", "question": "What is the median of 'booking_lead_days' across all rows? Round to 2 decimals.", "answer": "19.0", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000465::difficulty=2-hop", "question": "How many rows have 'booking_lead_days' strictly greater than 16.5?", "answer": "9", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000466::difficulty=3-hop", "question": "Which column has the higher average value: 'occupancy_pct' or 'average_daily_rate_usd'?", "answer": "average_daily_rate_usd", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000467::difficulty=3-hop", "question": "Which 'hotel_class' entry deviates most from the mean of 'occupancy_pct'?", "answer": "luxury", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000468::difficulty=3-hop", "question": "Do 'occupancy_pct' and 'average_daily_rate_usd' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000469::difficulty=3-hop", "question": "Which 'hotel_class' entry deviates most from the mean of 'average_daily_rate_usd'?", "answer": "luxury", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000470::difficulty=3-hop", "question": "Do 'average_daily_rate_usd' and 'booking_lead_days' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000471::difficulty=3-hop", "question": "Which 'hotel_class' entry deviates most from the mean of 'booking_lead_days'?", "answer": "luxury", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000472::difficulty=counterfactual", "question": "If all values in 'occupancy_pct' were increased by 10%, would it still exceed 'average_daily_rate_usd' on average?", "answer": "no", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000473::difficulty=counterfactual", "question": "If all values in 'occupancy_pct' were multiplied by 1.2, would 'occupancy_pct' remain above 'average_daily_rate_usd' on average?", "answer": "yes", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
{"question_id": "tabular_000474::difficulty=counterfactual", "question": "If all values in 'average_daily_rate_usd' were multiplied by 0.85, would 'average_daily_rate_usd' remain above 'booking_lead_days' on average?", "answer": "yes", "modality": "tabular", "data_id": "tourism_hotel_occupancy", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "tourism", "description": "Weekly hotel occupancy and booking behavior indicators.", "column_descriptions": {"hotel_class": "Hotel market segment.", "week_start": "Start date of reporting week.", "occupancy_pct": "Occupied room percentage.", "average_daily_rate_usd": "Average daily room rate in USD.", "booking_lead_days": "Average booking lead time in days.", "segment": "Guest segment."}}, "data_format": "dataframe_records", "data": [{"hotel_class": "luxury", "week_start": "2024-01-07T00:00:00.000", "occupancy_pct": 94.58, "average_daily_rate_usd": 173.99, "booking_lead_days": 15, "segment": "leisure"}, {"hotel_class": "midscale", "week_start": "2024-01-14T00:00:00.000", "occupancy_pct": 76.79, "average_daily_rate_usd": 95.12, "booking_lead_days": 21, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-01-21T00:00:00.000", "occupancy_pct": 67.57, "average_daily_rate_usd": 114.29, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-01-28T00:00:00.000", "occupancy_pct": 63.11, "average_daily_rate_usd": 161.97, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "midscale", "week_start": "2024-02-04T00:00:00.000", "occupancy_pct": 55.73, "average_daily_rate_usd": 137.64, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-02-11T00:00:00.000", "occupancy_pct": 67.61, "average_daily_rate_usd": 179.23, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-18T00:00:00.000", "occupancy_pct": 89.9, "average_daily_rate_usd": 79.37, "booking_lead_days": 38, "segment": "leisure"}, {"hotel_class": "luxury", "week_start": "2024-02-25T00:00:00.000", "occupancy_pct": 67.04, "average_daily_rate_usd": 135.93, "booking_lead_days": 9, "segment": "leisure"}, {"hotel_class": "economy", "week_start": "2024-03-03T00:00:00.000", "occupancy_pct": 62.91, "average_daily_rate_usd": 143.36, "booking_lead_days": 26, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-03-10T00:00:00.000", "occupancy_pct": 72.41, "average_daily_rate_usd": 124.77, "booking_lead_days": 25, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-17T00:00:00.000", "occupancy_pct": 66.62, "average_daily_rate_usd": 175.36, "booking_lead_days": 17, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-03-24T00:00:00.000", "occupancy_pct": 76.58, "average_daily_rate_usd": 119.08, "booking_lead_days": 3, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-03-31T00:00:00.000", "occupancy_pct": 62.27, "average_daily_rate_usd": 175.54, "booking_lead_days": 31, "segment": "business"}, {"hotel_class": "midscale", "week_start": "2024-04-07T00:00:00.000", "occupancy_pct": 76.18, "average_daily_rate_usd": 186.27, "booking_lead_days": 3, "segment": "group"}, {"hotel_class": "luxury", "week_start": "2024-04-14T00:00:00.000", "occupancy_pct": 74.22, "average_daily_rate_usd": 194.19, "booking_lead_days": 39, "segment": "business"}, {"hotel_class": "economy", "week_start": "2024-04-21T00:00:00.000", "occupancy_pct": 77.36, "average_daily_rate_usd": 194.21, "booking_lead_days": 7, "segment": "business"}], "data_columns": ["hotel_class", "week_start", "occupancy_pct", "average_daily_rate_usd", "booking_lead_days", "segment"], "source": "synthetic"}
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{"question_id": "tabular_000476::difficulty=1-hop", "question": "What is the value of 'day' in row 0?", "answer": "2024-03-01 00:00:00", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000477::difficulty=1-hop", "question": "What is the value of 'impressions_k' in row 0?", "answer": "366", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "value_extraction", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000478::difficulty=1-hop", "question": "Which 'campaign' has the highest 'impressions_k' value?", "answer": "new_users", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000479::difficulty=1-hop", "question": "Which 'campaign' has the lowest 'click_through_rate_pct' value?", "answer": "new_users", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000480::difficulty=1-hop", "question": "Which 'campaign' has the highest 'conversion_rate_pct' value?", "answer": "new_users", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000481::difficulty=1-hop", "question": "Which 'campaign' has the lowest 'revenue_usd' value?", "answer": "retargeting", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "ranking", "difficulty": "1-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000482::difficulty=2-hop", "question": "Is 'impressions_k' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000483::difficulty=2-hop", "question": "Is 'click_through_rate_pct' generally increasing or decreasing across rows?", "answer": "increasing", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "trend_analysis", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000484::difficulty=2-hop", "question": "What is the sum of 'impressions_k' across all rows? Round to 2 decimals.", "answer": "11885.0", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000485::difficulty=2-hop", "question": "How many rows have 'impressions_k' strictly greater than 487.2?", "answer": "13", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000486::difficulty=2-hop", "question": "What is the average of 'click_through_rate_pct' across all rows? Round to 2 decimals.", "answer": "3.69", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000487::difficulty=2-hop", "question": "How many rows have 'click_through_rate_pct' strictly greater than 3.86?", "answer": "9", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "filtering", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000488::difficulty=2-hop", "question": "What is the median of 'conversion_rate_pct' across all rows? Round to 2 decimals.", "answer": "2.4", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "aggregation", "difficulty": "2-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000489::difficulty=3-hop", "question": "Which column has the higher average value: 'impressions_k' or 'click_through_rate_pct'?", "answer": "impressions_k", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "comparison", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000490::difficulty=3-hop", "question": "Which 'campaign' entry deviates most from the mean of 'impressions_k'?", "answer": "new_users", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000491::difficulty=3-hop", "question": "Do 'impressions_k' and 'click_through_rate_pct' appear positively or negatively correlated?", "answer": "negative", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "correlation", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000492::difficulty=3-hop", "question": "Which 'campaign' entry deviates most from the mean of 'click_through_rate_pct'?", "answer": "retargeting", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "outlier_detection", "difficulty": "3-hop", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": 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{"question_id": "tabular_000496::difficulty=counterfactual", "question": "If all values in 'impressions_k' were increased by 10%, would it still exceed 'click_through_rate_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "comparison", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, 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"email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 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{"question_id": "tabular_000497::difficulty=counterfactual", "question": "If all values in 'impressions_k' were multiplied by 1.2, would 'impressions_k' remain above 'click_through_rate_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, 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"revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": 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{"question_id": "tabular_000498::difficulty=counterfactual", "question": "If all values in 'click_through_rate_pct' were multiplied by 0.85, would 'click_through_rate_pct' remain above 'conversion_rate_pct' on average?", "answer": "yes", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 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{"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "tabular_000499::difficulty=counterfactual", "question": "If all values in 'conversion_rate_pct' were multiplied by 1.2, would 'conversion_rate_pct' remain above 'revenue_usd' on average?", "answer": "yes", "modality": "tabular", "data_id": "ecommerce_campaign_performance", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["bar_chart", "heatmap", "table_image", "scatter_plot", "text_only"], "metadata": {"domain": "retail", "description": "Daily digital campaign performance and monetization metrics.", "column_descriptions": {"campaign": "Campaign identifier.", "day": "Reporting day.", "impressions_k": "Ad impressions in thousands.", "click_through_rate_pct": "CTR percentage.", "conversion_rate_pct": "Conversion percentage.", "revenue_usd": "Attributed revenue in USD.", "channel": "Acquisition channel."}}, "data_format": "dataframe_records", "data": [{"campaign": "spring_launch", "day": "2024-03-01T00:00:00.000", "impressions_k": 366, "click_through_rate_pct": 2.73, "conversion_rate_pct": 1.74, "revenue_usd": 10321.34, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-02T00:00:00.000", "impressions_k": 596, "click_through_rate_pct": 2.88, "conversion_rate_pct": 2.16, "revenue_usd": 9542.32, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-03T00:00:00.000", "impressions_k": 598, "click_through_rate_pct": 5.19, "conversion_rate_pct": 1.44, "revenue_usd": 8323.69, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-04T00:00:00.000", "impressions_k": 783, "click_through_rate_pct": 2.92, "conversion_rate_pct": 1.95, "revenue_usd": 10266.04, "channel": "email"}, {"campaign": "spring_launch", "day": "2024-03-05T00:00:00.000", "impressions_k": 488, "click_through_rate_pct": 3.82, "conversion_rate_pct": 2.4, "revenue_usd": 6223.4, "channel": "social"}, {"campaign": "vip_loyalty", "day": "2024-03-06T00:00:00.000", "impressions_k": 640, "click_through_rate_pct": 4.41, "conversion_rate_pct": 2.44, "revenue_usd": 7357.85, "channel": "affiliate"}, {"campaign": "spring_launch", "day": "2024-03-07T00:00:00.000", "impressions_k": 471, "click_through_rate_pct": 2.55, "conversion_rate_pct": 2.33, "revenue_usd": 10959.68, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-08T00:00:00.000", "impressions_k": 761, "click_through_rate_pct": 3.33, "conversion_rate_pct": 2.88, "revenue_usd": 8189.76, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-09T00:00:00.000", "impressions_k": 480, "click_through_rate_pct": 5.83, "conversion_rate_pct": 3.43, "revenue_usd": 5780.42, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-10T00:00:00.000", "impressions_k": 751, "click_through_rate_pct": 3.27, "conversion_rate_pct": 2.49, "revenue_usd": 15495.65, "channel": "affiliate"}, {"campaign": "vip_loyalty", "day": "2024-03-11T00:00:00.000", "impressions_k": 638, "click_through_rate_pct": 3.2, "conversion_rate_pct": 2.08, "revenue_usd": 10338.8, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-12T00:00:00.000", "impressions_k": 87, "click_through_rate_pct": 3.4, "conversion_rate_pct": 2.98, "revenue_usd": 13248.63, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-13T00:00:00.000", "impressions_k": 170, "click_through_rate_pct": 3.49, "conversion_rate_pct": 2.06, "revenue_usd": 11612.36, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-14T00:00:00.000", "impressions_k": 342, "click_through_rate_pct": 5.03, "conversion_rate_pct": 3.11, "revenue_usd": 4435.47, "channel": "search"}, {"campaign": "spring_launch", "day": "2024-03-15T00:00:00.000", "impressions_k": 335, "click_through_rate_pct": 4.16, "conversion_rate_pct": 2.9, "revenue_usd": 10225.38, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-16T00:00:00.000", "impressions_k": 256, "click_through_rate_pct": 2.02, "conversion_rate_pct": 3.69, "revenue_usd": 7881.09, "channel": "email"}, {"campaign": "vip_loyalty", "day": "2024-03-17T00:00:00.000", "impressions_k": 441, "click_through_rate_pct": 4.31, "conversion_rate_pct": 1.54, "revenue_usd": 5238.73, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-18T00:00:00.000", "impressions_k": 785, "click_through_rate_pct": 3.37, "conversion_rate_pct": 3.02, "revenue_usd": 9536.17, "channel": "email"}, {"campaign": "new_users", "day": "2024-03-19T00:00:00.000", "impressions_k": 631, "click_through_rate_pct": 4.01, "conversion_rate_pct": 2.66, "revenue_usd": 7178.95, "channel": "social"}, {"campaign": "spring_launch", "day": "2024-03-20T00:00:00.000", "impressions_k": 712, "click_through_rate_pct": 4.05, "conversion_rate_pct": 2.33, "revenue_usd": 9897.62, "channel": "affiliate"}, {"campaign": "retargeting", "day": "2024-03-21T00:00:00.000", "impressions_k": 234, "click_through_rate_pct": 4.2, "conversion_rate_pct": 2.43, "revenue_usd": 9738.53, "channel": "social"}, {"campaign": "retargeting", "day": "2024-03-22T00:00:00.000", "impressions_k": 629, "click_through_rate_pct": 3.55, "conversion_rate_pct": 2.27, "revenue_usd": 11568.11, "channel": "search"}, {"campaign": "retargeting", "day": "2024-03-23T00:00:00.000", "impressions_k": 691, "click_through_rate_pct": 3.09, "conversion_rate_pct": 2.4, "revenue_usd": 3476.97, "channel": "search"}], "data_columns": ["campaign", "day", "impressions_k", "click_through_rate_pct", "conversion_rate_pct", "revenue_usd", "channel"], "source": "synthetic"}
{"question_id": "timeseries_000000::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-000", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000001::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "4", "modality": "timeseries", "data_id": "timeseries-000", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000002::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "55", "modality": "timeseries", "data_id": "timeseries-000", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000003::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-000", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000004::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "34.778", "modality": "timeseries", "data_id": "timeseries-000", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000005::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "18.880", "modality": "timeseries", "data_id": "timeseries-000", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000006::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "linear_trend", "modality": "timeseries", "data_id": "timeseries-000", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000007::difficulty=1-hop", "question": "Is the final value higher or lower than the first value?", "answer": "lower", "modality": "timeseries", "data_id": "timeseries-000", "task": "endpoint_comparison", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000008::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "17.038", "modality": "timeseries", "data_id": "timeseries-000", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000009::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-000", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000010::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-000", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000011::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "-6.330", "modality": "timeseries", "data_id": "timeseries-000", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000012::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "10", "modality": "timeseries", "data_id": "timeseries-000", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000013::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "above", "modality": "timeseries", "data_id": "timeseries-000", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000014::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-000", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000015::difficulty=2-hop", "question": "How many sign changes are in first-order differences?", "answer": "40", "modality": "timeseries", "data_id": "timeseries-000", "task": "oscillation_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000016::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "17.382", "modality": "timeseries", "data_id": "timeseries-000", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000017::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "4", "modality": "timeseries", "data_id": "timeseries-000", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000018::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-000", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000019::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-000", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000020::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-000", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000021::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-000", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000022::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-000", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000023::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-000", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000024::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-000", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "retail", "pattern_type": "linear_trend", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [34.7777, 33.1309, 33.3947, 33.8618, 35.2251, 31.2575, 33.0326, 30.2655, 30.1584, 29.8957, 31.7861, 30.4127, 28.7364, 29.9252, 30.9148, 31.3477, 27.6153, 27.3875, 29.2758, 28.0561, 28.5472, 28.7912, 29.5193, 27.168, 29.469, 28.0143, 24.7139, 26.8546, 27.2357, 25.6004, 27.2099, 27.8393, 25.5382, 27.696, 29.433, 26.0496, 27.2415, 25.3065, 22.8673, 24.4737, 25.2562, 22.0619, 24.4965, 24.2927, 24.6112, 22.0532, 22.9892, 23.4516, 24.223, 25.8043, 21.9089, 23.6803, 20.3069, 23.1352, 21.494, 18.1875, 26.205, 19.2533, 21.4418, 18.5533, 21.7095, 20.3781, 18.8802], "source": "synthetic"}
{"question_id": "timeseries_000025::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-001", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000026::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "88", "modality": "timeseries", "data_id": "timeseries-001", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000027::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "25", "modality": "timeseries", "data_id": "timeseries-001", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000028::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-001", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000029::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "82.644", "modality": "timeseries", "data_id": "timeseries-001", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000030::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "73.409", "modality": "timeseries", "data_id": "timeseries-001", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000031::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "seasonal", "modality": "timeseries", "data_id": "timeseries-001", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000032::difficulty=1-hop", "question": "Is the final value higher or lower than the first value?", "answer": "lower", "modality": "timeseries", "data_id": "timeseries-001", "task": "endpoint_comparison", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000033::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "27.255", "modality": "timeseries", "data_id": "timeseries-001", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000034::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-001", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000035::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-001", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000036::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "1.596", "modality": "timeseries", "data_id": "timeseries-001", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000037::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "40", "modality": "timeseries", "data_id": "timeseries-001", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000038::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "above", "modality": "timeseries", "data_id": "timeseries-001", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000039::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-001", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000040::difficulty=2-hop", "question": "How many sign changes are in first-order differences?", "answer": "36", "modality": "timeseries", "data_id": "timeseries-001", "task": "oscillation_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000041::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "72.701", "modality": "timeseries", "data_id": "timeseries-001", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000042::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "25", "modality": "timeseries", "data_id": "timeseries-001", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000043::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-001", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000044::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-001", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000045::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-001", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000046::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-001", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000047::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-001", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000048::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-001", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000049::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-001", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "energy", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [82.644, 76.2335, 74.6766, 69.6495, 67.1461, 63.2676, 59.6951, 61.8012, 60.8266, 64.3777, 65.9141, 71.7492, 74.1768, 79.9451, 81.7258, 82.0981, 83.0423, 82.4264, 80.1264, 78.2959, 74.5088, 70.5268, 65.9656, 64.6647, 62.9215, 59.1759, 63.655, 64.9262, 64.7777, 69.66, 74.6427, 79.2403, 82.5445, 83.8936, 83.7696, 83.9505, 83.8607, 77.0009, 75.7951, 71.677, 66.3315, 62.8577, 64.277, 62.6262, 62.9543, 61.8715, 66.4759, 71.3176, 75.2668, 78.6602, 79.7217, 84.1526, 84.2408, 83.6905, 81.8966, 76.7344, 75.1901, 71.6094, 68.6571, 65.4597, 59.9808, 60.7904, 61.7125, 64.3423, 66.0105, 70.6935, 73.735, 77.0713, 82.2887, 83.3797, 82.9739, 83.2808, 81.0414, 79.6084, 75.1275, 71.4418, 67.5295, 62.4077, 63.8076, 61.5496, 61.9064, 63.8688, 64.3318, 70.1801, 74.8262, 76.808, 80.0357, 82.8391, 86.4312, 84.0479, 83.4766, 77.8446, 74.7455, 70.4928, 66.8958, 66.0041, 61.6673, 62.2572, 60.1483, 63.644, 66.2979, 72.424, 74.5352, 76.5857, 80.4238, 82.6872, 83.7309, 84.7006, 83.3689, 80.3725, 73.9266, 72.0915, 66.7502, 64.2346, 62.7627, 60.8985, 63.1069, 64.9222, 69.5412, 69.5744, 75.3741, 77.3515, 79.7991, 82.7722, 84.4206, 83.6815, 82.2015, 77.2529, 75.3704, 71.3594, 66.2925, 65.0971, 62.7047, 62.2421, 62.9978, 63.7595, 66.7167, 70.2784, 74.9586, 79.5994, 80.4586, 85.1336, 83.6883, 82.4838, 81.7855, 79.4542, 73.945, 72.1894, 66.8356, 63.4648, 62.5719, 60.7726, 62.0592, 63.8227, 67.0584, 70.7115, 74.4931, 77.5142, 81.6651, 84.4109, 84.0032, 82.8021, 83.7783, 80.1851, 74.1172, 73.4089], "source": "synthetic"}
{"question_id": "timeseries_000050::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-002", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000051::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "134", "modality": "timeseries", "data_id": "timeseries-002", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000052::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "10", "modality": "timeseries", "data_id": "timeseries-002", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000053::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-002", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000054::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "57.016", "modality": "timeseries", "data_id": "timeseries-002", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000055::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "62.307", "modality": "timeseries", "data_id": "timeseries-002", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000056::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "trend_seasonal", "modality": "timeseries", "data_id": "timeseries-002", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000057::difficulty=1-hop", "question": "Is the final value higher or lower than the first value?", "answer": "higher", "modality": "timeseries", "data_id": "timeseries-002", "task": "endpoint_comparison", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000058::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "16.552", "modality": "timeseries", "data_id": "timeseries-002", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000059::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-002", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000060::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-002", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000061::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "2.315", "modality": "timeseries", "data_id": "timeseries-002", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000062::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "29", "modality": "timeseries", "data_id": "timeseries-002", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000063::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "below", "modality": "timeseries", "data_id": "timeseries-002", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000064::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-002", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000065::difficulty=2-hop", "question": "How many sign changes are in first-order differences?", "answer": "54", "modality": "timeseries", "data_id": "timeseries-002", "task": "oscillation_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000066::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "61.227", "modality": "timeseries", "data_id": "timeseries-002", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000067::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "134", "modality": "timeseries", "data_id": "timeseries-002", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000068::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-002", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000069::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-002", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000070::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-002", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000071::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-002", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000072::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-002", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000073::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-002", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000074::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-002", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "telecom", "pattern_type": "trend_seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [57.0156, 56.509, 58.4622, 59.4546, 57.475, 56.6651, 52.4146, 51.4075, 48.926, 53.7443, 48.834, 53.7433, 58.2047, 59.7411, 61.155, 60.3264, 56.9477, 54.1373, 51.7743, 49.9167, 48.8817, 53.098, 54.5422, 56.6989, 59.4437, 60.7334, 58.3716, 54.5953, 54.9605, 52.5627, 51.031, 50.9825, 51.9043, 56.0152, 58.8702, 58.301, 61.7363, 61.5511, 56.3885, 55.8792, 50.6848, 52.1909, 53.3593, 51.6624, 54.6937, 58.7664, 60.5316, 59.6681, 58.4401, 56.3591, 54.3682, 53.2299, 50.3852, 53.3356, 52.7557, 56.4571, 59.4583, 61.7526, 58.239, 60.6663, 58.0174, 56.7926, 53.9877, 52.2186, 53.9735, 53.4242, 55.6953, 62.1333, 58.7151, 62.0139, 60.6185, 59.3503, 54.7661, 52.4664, 52.1667, 51.7858, 54.5449, 59.4812, 61.5465, 62.4567, 62.9848, 59.4132, 59.9607, 55.6076, 53.3526, 51.4632, 53.2, 54.2327, 56.5012, 59.3057, 62.3418, 61.3571, 59.4003, 59.5375, 56.5679, 53.3726, 53.3048, 53.1623, 56.8197, 56.7467, 58.5238, 62.2116, 62.8485, 61.1717, 58.1765, 55.3931, 53.6865, 54.6061, 55.4651, 56.3569, 58.8179, 59.9776, 61.6768, 62.6389, 62.3645, 61.1611, 57.4974, 55.5082, 52.8174, 53.9887, 54.2338, 58.171, 62.8681, 61.4952, 62.2156, 60.2512, 60.0069, 56.7866, 55.1847, 54.587, 56.0345, 56.7419, 58.63, 60.3691, 65.3862, 63.7438, 62.1857, 62.6875, 58.2431, 55.8175, 55.0396, 54.7402, 56.1304, 57.4394, 61.488, 64.2322, 63.3866, 62.3067], "source": "synthetic"}
{"question_id": "timeseries_000075::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-003", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000076::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "1", "modality": "timeseries", "data_id": "timeseries-003", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000077::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "105", "modality": "timeseries", "data_id": "timeseries-003", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000078::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-003", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000079::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "112.723", "modality": "timeseries", "data_id": "timeseries-003", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000080::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "82.539", "modality": "timeseries", "data_id": "timeseries-003", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000081::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "random_walk", "modality": "timeseries", "data_id": "timeseries-003", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000082::difficulty=1-hop", "question": "Is the final value higher or lower than the first value?", "answer": "lower", "modality": "timeseries", "data_id": "timeseries-003", "task": "endpoint_comparison", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000083::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "37.325", "modality": "timeseries", "data_id": "timeseries-003", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000084::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-003", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000085::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-003", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000086::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "-17.477", "modality": "timeseries", "data_id": "timeseries-003", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000087::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "34", "modality": "timeseries", "data_id": "timeseries-003", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000088::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "below", "modality": "timeseries", "data_id": "timeseries-003", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000089::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-003", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000090::difficulty=2-hop", "question": "How many sign changes are in first-order differences?", "answer": "51", "modality": "timeseries", "data_id": "timeseries-003", "task": "oscillation_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000091::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "82.528", "modality": "timeseries", "data_id": "timeseries-003", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000092::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "1", "modality": "timeseries", "data_id": "timeseries-003", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000093::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-003", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000094::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-003", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000095::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-003", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000096::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-003", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000097::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-003", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000098::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-003", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000099::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-003", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "finance", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [112.7233, 116.124, 114.1924, 112.1937, 110.6663, 109.979, 109.5366, 110.0175, 110.4789, 109.6117, 108.6091, 107.597, 107.1446, 107.5622, 110.0835, 109.6671, 110.2895, 111.4046, 111.8919, 114.6474, 112.9315, 109.2096, 107.9015, 107.5926, 109.2299, 110.8222, 111.5483, 112.2025, 110.7172, 112.7478, 109.576, 110.6901, 109.7279, 107.6798, 103.8589, 103.494, 103.0335, 103.8199, 101.5874, 104.7879, 103.1555, 101.5046, 99.4241, 97.6683, 98.1629, 98.6441, 98.4805, 99.236, 99.3153, 98.3683, 94.8336, 92.7987, 90.4912, 88.7813, 88.2873, 86.6825, 89.3154, 88.7248, 88.2762, 88.6154, 87.2144, 90.8745, 94.1928, 90.236, 90.4509, 91.335, 92.9474, 94.297, 94.5288, 95.8588, 93.5563, 93.3807, 92.3835, 96.0018, 95.6856, 94.5755, 92.6931, 91.9341, 92.7527, 90.4614, 87.2141, 82.5368, 81.2815, 79.3766, 80.6457, 82.6453, 80.0605, 82.9683, 84.9466, 85.8285, 89.2015, 89.6238, 88.835, 90.1154, 87.428, 88.0083, 87.1031, 85.836, 87.1748, 86.9132, 89.8987, 91.7154, 88.2839, 84.0677, 81.7257, 78.7995, 81.4655, 82.5773, 83.603, 80.8376, 81.2772, 84.3372, 82.6597, 81.4546, 82.5497, 82.5389], "source": "synthetic"}
{"question_id": "timeseries_000100::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-004", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000101::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "102", "modality": "timeseries", "data_id": "timeseries-004", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000102::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "19", "modality": "timeseries", "data_id": "timeseries-004", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000103::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "37", "modality": "timeseries", "data_id": "timeseries-004", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000104::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "31.495", "modality": "timeseries", "data_id": "timeseries-004", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000105::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "54.190", "modality": "timeseries", "data_id": "timeseries-004", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000106::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "step_function", "modality": "timeseries", "data_id": "timeseries-004", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000107::difficulty=1-hop", "question": "Is the final value higher or lower than the first value?", "answer": "higher", "modality": "timeseries", "data_id": "timeseries-004", "task": "endpoint_comparison", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000108::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "27.636", "modality": "timeseries", "data_id": "timeseries-004", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000109::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-004", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000110::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-004", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000111::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "15.050", "modality": "timeseries", "data_id": "timeseries-004", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000112::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "29", "modality": "timeseries", "data_id": "timeseries-004", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000113::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "above", "modality": "timeseries", "data_id": "timeseries-004", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000114::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-004", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000115::difficulty=2-hop", "question": "How many sign changes are in first-order differences?", "answer": "72", "modality": "timeseries", "data_id": "timeseries-004", "task": "oscillation_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000116::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "56.479", "modality": "timeseries", "data_id": "timeseries-004", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000117::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "19", "modality": "timeseries", "data_id": "timeseries-004", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000118::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-004", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000119::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-004", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000120::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-004", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000121::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-004", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000122::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-004", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000123::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-004", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000124::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-004", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "manufacturing", "pattern_type": "step_function", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [31.4947, 32.0474, 31.417, 30.9392, 30.2003, 30.6681, 31.279, 30.2345, 30.9464, 30.8829, 30.7383, 33.1106, 31.7277, 32.5688, 31.34, 30.0652, 30.1013, 31.9679, 30.6312, 29.5702, 29.7025, 30.8672, 32.4521, 32.3469, 32.0845, 31.9935, 29.8265, 31.7134, 31.7761, 30.9559, 32.6451, 33.0325, 29.9157, 30.8408, 30.9892, 30.1041, 30.8465, 47.8299, 47.5381, 44.311, 46.9803, 47.0578, 44.4465, 47.5419, 45.0007, 46.6671, 46.9871, 44.6186, 46.4959, 45.8597, 43.9862, 43.937, 45.1697, 46.7376, 43.6848, 46.2983, 46.1415, 45.6553, 46.5391, 44.2906, 46.0329, 45.1389, 44.9359, 46.2678, 48.3839, 44.8856, 44.0943, 46.2192, 45.3893, 46.0675, 45.0437, 45.7768, 46.3506, 45.9973, 46.5594, 53.275, 54.3593, 52.8443, 54.773, 54.776, 55.3471, 53.5544, 53.3643, 53.6585, 54.04, 55.5725, 54.4759, 54.7122, 53.5052, 54.7313, 54.04, 53.8048, 52.4811, 53.6396, 54.3815, 53.2349, 53.1307, 53.6399, 52.46, 55.4865, 53.8143, 54.9471, 57.2063, 54.0534, 51.6364, 53.1946, 51.8637, 54.9909, 54.1467, 53.5134, 54.4472, 53.3802, 54.3358, 51.9008, 54.19], "source": "synthetic"}
{"question_id": "timeseries_000125::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-005", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000126::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "82", "modality": "timeseries", "data_id": "timeseries-005", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000127::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "132", "modality": "timeseries", "data_id": "timeseries-005", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000128::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "57", "modality": "timeseries", "data_id": "timeseries-005", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000129::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "64.825", "modality": "timeseries", "data_id": "timeseries-005", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000130::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "73.660", "modality": "timeseries", "data_id": "timeseries-005", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000131::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "spike_anomaly", "modality": "timeseries", "data_id": "timeseries-005", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000132::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "36.366", "modality": "timeseries", "data_id": "timeseries-005", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000133::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-005", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000134::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-005", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000135::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "4.395", "modality": "timeseries", "data_id": "timeseries-005", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000136::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "25", "modality": "timeseries", "data_id": "timeseries-005", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000137::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "above", "modality": "timeseries", "data_id": "timeseries-005", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000138::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-005", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000139::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "73.063", "modality": "timeseries", "data_id": "timeseries-005", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000140::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "132", "modality": "timeseries", "data_id": "timeseries-005", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000141::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-005", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000142::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-005", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000143::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-005", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000144::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-005", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000145::difficulty=3-hop", "question": "Is the median of local maxima greater than overall median?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-005", "task": "local_peak_median_relation", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000146::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-005", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000147::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-005", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000148::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-005", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000149::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-005", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "infrastructure", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [64.8247, 63.664, 62.786, 64.4112, 65.2539, 66.0783, 66.7305, 63.1425, 64.2932, 65.4473, 65.1361, 66.0103, 65.8488, 65.2124, 66.1319, 66.8713, 66.8828, 66.1284, 64.509, 65.9596, 65.7108, 66.4868, 68.2827, 66.6737, 66.1379, 65.4767, 65.2263, 66.5594, 67.5497, 65.0779, 65.6865, 66.0109, 65.9763, 66.0926, 67.1879, 65.0664, 68.5185, 67.3066, 67.3161, 66.2095, 67.9228, 66.5479, 68.6022, 66.9351, 67.3938, 69.1725, 67.4769, 67.5171, 68.669, 67.063, 66.9933, 67.5106, 67.4886, 67.3058, 69.8937, 66.4167, 67.8497, 81.3001, 65.9311, 67.2155, 66.5671, 67.9468, 69.8355, 67.4018, 68.5784, 68.7544, 68.4102, 68.2869, 68.7587, 67.5349, 70.3439, 68.6966, 69.2223, 67.5053, 69.7509, 68.9117, 70.2009, 68.7115, 70.2345, 67.7291, 70.0151, 68.5548, 83.8511, 71.6197, 68.9014, 67.5456, 70.5172, 70.0043, 69.2796, 70.132, 69.8838, 69.2302, 70.8527, 69.4376, 68.5336, 70.4821, 70.4583, 71.6831, 71.519, 70.9286, 69.9923, 71.3415, 69.3388, 69.4549, 69.3072, 69.3444, 70.0747, 70.9615, 69.6643, 72.1063, 70.7475, 72.3816, 68.6125, 69.9672, 72.1331, 71.5754, 70.4311, 71.1547, 70.3543, 72.6339, 70.5647, 70.7356, 71.7525, 71.1114, 72.9513, 72.2259, 71.3092, 70.6413, 72.0095, 71.4615, 73.4695, 72.1939, 47.4854, 71.6558, 73.8102, 71.9146, 71.5722, 72.3857, 72.3616, 74.0964, 72.4026, 72.773, 72.0992, 72.9794, 72.9629, 74.147, 73.1795, 73.4018, 74.0609, 74.9145, 73.3644, 73.4946, 72.6741, 71.2878, 73.913, 73.0324, 73.5541, 73.0261, 74.1316, 72.852, 73.4921, 73.0237, 74.9516, 72.7501, 73.0662, 73.1354, 74.9932, 74.1672, 74.8129, 75.9957, 75.598, 74.0625, 73.7458, 75.1092, 74.739, 74.2375, 75.4284, 74.2577, 73.6604], "source": "synthetic"}
{"question_id": "timeseries_000150::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-006", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000151::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "56", "modality": "timeseries", "data_id": "timeseries-006", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000152::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "3", "modality": "timeseries", "data_id": "timeseries-006", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000153::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "24", "modality": "timeseries", "data_id": "timeseries-006", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000154::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "34.365", "modality": "timeseries", "data_id": "timeseries-006", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000155::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "39.279", "modality": "timeseries", "data_id": "timeseries-006", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000156::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "gradual_drift", "modality": "timeseries", "data_id": "timeseries-006", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000157::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "7.809", "modality": "timeseries", "data_id": "timeseries-006", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000158::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-006", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000159::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-006", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000160::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "3.354", "modality": "timeseries", "data_id": "timeseries-006", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000161::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "13", "modality": "timeseries", "data_id": "timeseries-006", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000162::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "below", "modality": "timeseries", "data_id": "timeseries-006", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000163::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-006", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000164::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "37.979", "modality": "timeseries", "data_id": "timeseries-006", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000165::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "56", "modality": "timeseries", "data_id": "timeseries-006", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000166::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-006", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000167::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-006", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000168::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-006", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000169::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-006", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000170::difficulty=3-hop", "question": "Is the median of local maxima greater than overall median?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-006", "task": "local_peak_median_relation", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000171::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-006", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000172::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-006", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000173::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-006", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000174::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-006", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "iot", "pattern_type": "gradual_drift", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [34.3648, 36.4375, 37.1624, 33.6294, 35.8599, 36.9579, 35.9532, 35.7983, 35.9819, 34.8377, 35.5541, 35.2068, 34.8708, 34.8307, 35.9382, 34.9314, 36.2337, 35.5359, 37.3718, 35.1156, 35.8605, 34.3599, 34.687, 35.3752, 35.9466, 34.992, 37.7663, 35.2541, 33.789, 35.2743, 34.9957, 37.3703, 36.6439, 36.7633, 39.0708, 39.0084, 37.9777, 38.0628, 39.0538, 39.0559, 38.2174, 37.5415, 38.2486, 37.8474, 39.28, 39.2098, 39.5089, 37.1835, 39.6497, 39.4057, 38.1813, 38.96, 39.3277, 39.4247, 41.3447, 38.9376, 41.4389, 39.9695, 40.1168, 38.1932, 40.5797, 39.2794], "source": "synthetic"}
{"question_id": "timeseries_000175::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-007", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000176::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "145", "modality": "timeseries", "data_id": "timeseries-007", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000177::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "19", "modality": "timeseries", "data_id": "timeseries-007", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000178::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-007", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000179::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "78.854", "modality": "timeseries", "data_id": "timeseries-007", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000180::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "73.710", "modality": "timeseries", "data_id": "timeseries-007", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000181::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "multimodal", "modality": "timeseries", "data_id": "timeseries-007", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000182::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "29.188", "modality": "timeseries", "data_id": "timeseries-007", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000183::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-007", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000184::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-007", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000185::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "0.179", "modality": "timeseries", "data_id": "timeseries-007", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000186::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "30", "modality": "timeseries", "data_id": "timeseries-007", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000187::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "below", "modality": "timeseries", "data_id": "timeseries-007", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000188::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-007", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000189::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "73.569", "modality": "timeseries", "data_id": "timeseries-007", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000190::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "19", "modality": "timeseries", "data_id": "timeseries-007", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000191::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-007", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000192::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-007", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000193::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-007", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000194::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-007", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000195::difficulty=3-hop", "question": "Is the median of local maxima greater than overall median?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-007", "task": "local_peak_median_relation", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000196::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-007", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000197::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-007", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000198::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-007", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000199::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-007", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "transport", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [78.8537, 81.8637, 82.6793, 84.2592, 79.2559, 78.2629, 75.3, 69.4545, 67.3679, 64.9685, 66.6165, 67.9233, 69.0974, 69.7654, 69.5771, 69.9475, 62.2188, 60.701, 59.3988, 56.5008, 59.2966, 60.9147, 66.1318, 66.3083, 71.5409, 74.6753, 72.8078, 71.0695, 72.3879, 70.6224, 71.1611, 71.9279, 77.0477, 79.0093, 82.2915, 82.3384, 85.4457, 83.2352, 79.0403, 75.774, 74.8583, 72.5752, 72.0553, 71.3475, 73.5279, 75.1341, 73.5778, 73.6511, 70.6311, 67.6294, 62.8086, 62.3826, 59.6267, 58.905, 61.2901, 63.0062, 63.3842, 65.4953, 68.6229, 68.8548, 67.9714, 63.3344, 64.6473, 64.2009, 67.052, 70.925, 73.801, 78.7847, 82.1012, 81.7133, 81.2168, 82.6028, 78.2498, 76.3197, 74.8761, 73.8039, 75.8129, 74.6185, 79.301, 79.8699, 80.9201, 77.0729, 73.1848, 68.9618, 66.9345, 62.4585, 63.011, 63.5875, 65.4737, 67.64, 67.0441, 69.2974, 65.6551, 64.2983, 62.328, 58.5178, 59.127, 63.0711, 63.9074, 70.0006, 70.0008, 74.6099, 77.4417, 76.4542, 77.5225, 75.3343, 74.3606, 72.749, 76.2477, 76.4479, 79.9702, 82.37, 84.4183, 81.9191, 82.3511, 78.1072, 74.0783, 71.1014, 72.3935, 68.3861, 67.6005, 68.7268, 69.8562, 70.7412, 68.8477, 68.1367, 66.185, 60.2587, 58.1928, 59.65, 60.6192, 60.7531, 64.1252, 68.3811, 68.1369, 73.0382, 73.8947, 71.6536, 70.0052, 68.5682, 70.2299, 69.7584, 73.2776, 78.5312, 81.945, 85.6887, 81.8652, 84.2725, 81.7105, 79.0067, 76.0844, 74.8488, 74.5747, 73.851, 73.7098], "source": "synthetic"}
{"question_id": "timeseries_000200::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-008", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000201::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "6", "modality": "timeseries", "data_id": "timeseries-008", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000202::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "67", "modality": "timeseries", "data_id": "timeseries-008", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000203::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-008", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000204::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "22.208", "modality": "timeseries", "data_id": "timeseries-008", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000205::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "14.364", "modality": "timeseries", "data_id": "timeseries-008", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000206::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "linear_trend", "modality": "timeseries", "data_id": "timeseries-008", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000207::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "14.532", "modality": "timeseries", "data_id": "timeseries-008", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000208::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-008", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000209::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-008", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000210::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "-4.799", "modality": "timeseries", "data_id": "timeseries-008", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000211::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "13", "modality": "timeseries", "data_id": "timeseries-008", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000212::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "above", "modality": "timeseries", "data_id": "timeseries-008", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000213::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-008", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000214::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "13.625", "modality": "timeseries", "data_id": "timeseries-008", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000215::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "6", "modality": "timeseries", "data_id": "timeseries-008", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000216::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-008", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000217::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-008", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000218::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-008", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000219::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-008", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000220::difficulty=3-hop", "question": "Is the median of local maxima greater than overall median?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-008", "task": "local_peak_median_relation", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000221::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-008", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000222::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-008", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000223::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-008", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000224::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-008", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "healthcare", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [22.2082, 21.4584, 22.9858, 25.7789, 24.8115, 20.4838, 26.8541, 25.1639, 21.1654, 22.688, 21.0212, 19.6876, 20.8119, 24.1756, 18.9408, 24.6745, 20.3771, 22.6415, 21.3835, 19.3413, 20.3252, 22.2112, 20.4188, 22.5496, 19.049, 19.5396, 20.1281, 21.6669, 20.5973, 21.0279, 21.1174, 22.7228, 19.0676, 18.5675, 19.7922, 18.694, 20.4199, 18.8124, 18.3992, 17.6498, 16.4086, 21.9046, 15.9546, 21.2564, 19.455, 16.1236, 19.4063, 18.0382, 17.7968, 17.3442, 17.7781, 18.5772, 18.9193, 16.6565, 17.8248, 14.9761, 16.6834, 15.3729, 18.5034, 18.0785, 15.807, 12.3377, 17.1718, 16.0477, 17.0952, 13.5845, 16.6241, 12.3216, 14.1588, 16.3429, 15.6303, 14.6603, 13.415, 16.026, 14.902, 12.5997, 15.5198, 16.693, 15.1029, 14.3639], "source": "synthetic"}
{"question_id": "timeseries_000225::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-009", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000226::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "59", "modality": "timeseries", "data_id": "timeseries-009", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000227::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "22", "modality": "timeseries", "data_id": "timeseries-009", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000228::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-009", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000229::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "88.103", "modality": "timeseries", "data_id": "timeseries-009", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000230::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "75.997", "modality": "timeseries", "data_id": "timeseries-009", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000231::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "seasonal", "modality": "timeseries", "data_id": "timeseries-009", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000232::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "30.296", "modality": "timeseries", "data_id": "timeseries-009", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000233::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-009", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000234::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-009", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000235::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "-0.420", "modality": "timeseries", "data_id": "timeseries-009", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000236::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "16", "modality": "timeseries", "data_id": "timeseries-009", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000237::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "above", "modality": "timeseries", "data_id": "timeseries-009", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000238::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-009", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000239::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "71.761", "modality": "timeseries", "data_id": "timeseries-009", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000240::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "22", "modality": "timeseries", "data_id": "timeseries-009", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000241::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-009", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000242::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-009", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000243::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-009", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000244::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-009", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000245::difficulty=3-hop", "question": "Is the median of local maxima greater than overall median?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-009", "task": "local_peak_median_relation", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000246::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-009", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000247::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-009", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000248::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-009", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000249::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-009", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "web", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [88.1027, 83.7327, 82.9813, 77.4388, 70.1436, 64.2193, 61.0741, 58.7128, 62.2089, 63.0095, 70.9797, 75.8588, 78.8988, 85.4369, 88.589, 86.1703, 85.5393, 82.054, 75.5495, 68.6798, 65.2352, 61.0885, 58.3719, 59.8157, 64.5699, 71.7864, 77.0441, 80.9931, 85.2033, 87.8968, 88.0296, 84.6881, 81.3354, 75.3561, 69.0219, 63.7998, 59.2385, 59.7719, 59.2665, 64.3643, 69.1701, 75.7165, 80.3179, 86.8297, 86.8121, 88.6488, 86.9998, 83.202, 75.4801, 68.6892, 65.8106, 60.4386, 60.7227, 61.2409, 65.1715, 70.1691, 75.8273, 82.3021, 84.8532, 88.6674, 88.5514, 86.6495, 80.2337, 75.9973], "source": "synthetic"}
{"question_id": "timeseries_000250::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-010", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000251::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "128", "modality": "timeseries", "data_id": "timeseries-010", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000252::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "10", "modality": "timeseries", "data_id": "timeseries-010", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000253::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-010", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000254::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "65.299", "modality": "timeseries", "data_id": "timeseries-010", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000255::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "98.192", "modality": "timeseries", "data_id": "timeseries-010", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000256::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "trend_seasonal", "modality": "timeseries", "data_id": "timeseries-010", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000257::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "37.345", "modality": "timeseries", "data_id": "timeseries-010", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000258::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-010", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000259::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-010", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000260::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "11.835", "modality": "timeseries", "data_id": "timeseries-010", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000261::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "24", "modality": "timeseries", "data_id": "timeseries-010", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000262::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "below", "modality": "timeseries", "data_id": "timeseries-010", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000263::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-010", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000264::difficulty=2-hop", "question": "How many sign changes are in first-order differences?", "answer": "42", "modality": "timeseries", "data_id": "timeseries-010", "task": "oscillation_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000265::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "102.111", "modality": "timeseries", "data_id": "timeseries-010", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000266::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "128", "modality": "timeseries", "data_id": "timeseries-010", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000267::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-010", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000268::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-010", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000269::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-010", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000270::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-010", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000271::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-010", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000272::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-010", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000273::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-010", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000274::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-010", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "cloud", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [65.2995, 69.0466, 69.9548, 72.5968, 74.0241, 72.8585, 67.0962, 67.5031, 65.5398, 62.9007, 60.847, 64.1824, 67.145, 64.7307, 67.225, 73.6546, 73.2122, 77.7341, 75.2887, 74.6036, 72.2856, 71.2117, 70.671, 66.5311, 63.1879, 65.8554, 66.047, 69.0568, 72.1813, 76.0046, 74.5402, 78.4459, 78.9886, 79.1897, 76.239, 75.6578, 69.1885, 71.1926, 67.8753, 67.1449, 67.6979, 71.1827, 74.385, 78.496, 80.7238, 82.4933, 81.9393, 81.4315, 79.2956, 75.8709, 74.9393, 72.0608, 70.2275, 68.9298, 73.5322, 75.866, 77.6346, 80.0977, 83.6076, 84.589, 86.3208, 82.0498, 82.0499, 79.2188, 75.206, 72.5952, 73.3745, 75.0269, 75.4844, 77.3798, 79.6235, 82.3488, 85.9711, 89.7337, 87.9221, 86.2599, 84.8722, 82.5738, 77.7059, 77.1274, 75.5431, 77.7678, 75.6496, 80.1722, 83.018, 85.0427, 87.4674, 90.1473, 90.8647, 88.0132, 87.7153, 83.678, 82.5607, 80.9659, 78.1711, 78.4867, 81.32, 82.4856, 82.2009, 87.3242, 89.9576, 93.4836, 93.8626, 89.8429, 92.3944, 85.9748, 83.5168, 78.7033, 83.5319, 81.9094, 81.394, 83.9276, 88.0715, 91.6916, 92.3948, 96.4564, 95.6136, 94.8466, 91.9404, 93.4148, 90.6543, 84.488, 83.7851, 84.063, 87.7764, 86.4821, 89.549, 94.2739, 98.1924], "source": "synthetic"}
{"question_id": "timeseries_000275::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-011", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000276::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "103", "modality": "timeseries", "data_id": "timeseries-011", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000277::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "10", "modality": "timeseries", "data_id": "timeseries-011", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000278::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-011", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000279::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "121.899", "modality": "timeseries", "data_id": "timeseries-011", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000280::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "184.061", "modality": "timeseries", "data_id": "timeseries-011", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000281::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "random_walk", "modality": "timeseries", "data_id": "timeseries-011", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000282::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "80.370", "modality": "timeseries", "data_id": "timeseries-011", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000283::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-011", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000284::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-011", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000285::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "31.833", "modality": "timeseries", "data_id": "timeseries-011", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000286::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "15", "modality": "timeseries", "data_id": "timeseries-011", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000287::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "above", "modality": "timeseries", "data_id": "timeseries-011", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000288::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-011", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000289::difficulty=2-hop", "question": "How many sign changes are in first-order differences?", "answer": "92", "modality": "timeseries", "data_id": "timeseries-011", "task": "oscillation_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000290::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "184.903", "modality": "timeseries", "data_id": "timeseries-011", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000291::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "10", "modality": "timeseries", "data_id": "timeseries-011", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000292::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-011", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000293::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-011", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000294::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-011", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000295::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-011", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000296::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-011", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000297::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-011", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000298::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-011", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000299::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-011", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "economics", "pattern_type": "random_walk", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [121.8991, 123.1776, 119.6186, 117.4975, 118.3074, 116.22, 114.2125, 114.7994, 113.5949, 113.8492, 112.975, 114.3508, 118.9038, 120.8392, 125.3991, 124.4487, 128.0714, 128.5555, 129.1479, 130.79, 133.4395, 132.8769, 132.5921, 132.2547, 129.3825, 130.3525, 134.0401, 134.0443, 139.2443, 136.6727, 139.5844, 139.0476, 137.3647, 141.5165, 140.8863, 142.3759, 141.7246, 142.4324, 142.777, 144.8293, 145.2131, 147.7183, 144.4929, 141.9427, 143.8828, 145.5198, 147.5324, 149.1818, 149.6536, 147.6968, 147.5858, 147.0784, 149.5998, 148.1341, 150.6311, 149.9488, 153.0276, 154.6664, 155.7792, 156.217, 156.1401, 156.6777, 158.9685, 157.5785, 161.2613, 161.7867, 159.1662, 156.9511, 158.2832, 157.8162, 156.5443, 157.5632, 160.2489, 161.4528, 161.9003, 159.8489, 163.4669, 165.3887, 163.7673, 165.6237, 166.0582, 168.2024, 171.6726, 175.9209, 177.7374, 178.2884, 178.9937, 179.2486, 179.4491, 182.3151, 180.775, 180.3058, 180.0969, 178.5745, 181.0648, 182.1944, 184.9394, 183.234, 185.3077, 186.9527, 189.464, 190.942, 191.9396, 193.3454, 190.5505, 190.9819, 188.8116, 185.9345, 181.7788, 182.2957, 183.7535, 179.5441, 180.3386, 178.4973, 176.1767, 177.0441, 177.9025, 180.112, 177.2069, 176.737, 179.1433, 178.7688, 177.066, 177.1385, 178.3258, 178.8257, 177.3378, 177.1417, 174.1965, 173.3103, 170.7735, 173.1907, 175.2888, 175.0868, 177.0644, 176.8234, 178.3631, 177.8154, 177.4315, 178.2471, 174.7575, 174.5122, 172.5476, 175.3314, 175.3493, 174.5488, 173.0724, 174.3685, 173.9953, 173.1571, 173.1823, 172.6028, 174.6736, 175.8807, 174.8545, 173.5809, 174.2095, 174.5492, 176.8815, 177.0426, 175.5976, 176.1861, 175.2928, 175.1787, 176.916, 178.173, 180.69, 181.4692, 184.9904, 183.3934, 185.9244, 183.7295, 183.0812, 184.4306, 184.4838, 183.66, 183.2575, 182.1001, 185.6626, 186.5011, 187.4675, 184.7036, 185.4148, 185.4737, 185.6995, 185.073, 185.2239, 183.3351, 186.8976, 186.922, 186.8826, 184.4089, 183.782, 181.5767, 182.057, 183.2198, 184.0614], "source": "synthetic"}
{"question_id": "timeseries_000300::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-012", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000301::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "106", "modality": "timeseries", "data_id": "timeseries-012", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000302::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "67", "modality": "timeseries", "data_id": "timeseries-012", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000303::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "53", "modality": "timeseries", "data_id": "timeseries-012", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000304::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "44.371", "modality": "timeseries", "data_id": "timeseries-012", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000305::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "44.687", "modality": "timeseries", "data_id": "timeseries-012", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000306::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "step_function", "modality": "timeseries", "data_id": "timeseries-012", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000307::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "21.563", "modality": "timeseries", "data_id": "timeseries-012", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000308::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-012", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000309::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-012", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000310::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "0.246", "modality": "timeseries", "data_id": "timeseries-012", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000311::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "0", "modality": "timeseries", "data_id": "timeseries-012", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000312::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "above", "modality": "timeseries", "data_id": "timeseries-012", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000313::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-012", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000314::difficulty=2-hop", "question": "How many sign changes are in first-order differences?", "answer": "108", "modality": "timeseries", "data_id": "timeseries-012", "task": "oscillation_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000315::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "45.918", "modality": "timeseries", "data_id": "timeseries-012", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000316::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "67", "modality": "timeseries", "data_id": "timeseries-012", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000317::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-012", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000318::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-012", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000319::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-012", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000320::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-012", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000321::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-012", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000322::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-012", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000323::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-012", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000324::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-012", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "logistics", "pattern_type": "step_function", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [44.3708, 44.9844, 44.8475, 43.9929, 43.2867, 45.6731, 43.2616, 45.2581, 42.4457, 44.28, 43.9408, 44.0569, 43.7153, 44.1024, 44.2965, 43.4484, 43.7737, 43.0556, 44.0776, 44.2931, 42.7656, 43.9264, 43.821, 44.549, 42.0579, 44.9302, 45.8913, 42.1431, 43.3591, 43.0672, 44.1198, 44.3867, 45.6746, 43.9056, 42.0524, 43.4457, 43.5551, 41.8933, 44.4905, 43.5571, 44.1774, 42.4812, 44.2207, 43.7936, 45.1237, 43.2463, 45.4872, 44.7855, 42.8712, 44.3106, 44.4578, 43.9472, 40.9351, 24.9219, 28.0427, 27.266, 26.8943, 26.4283, 25.9265, 27.9396, 26.7148, 25.852, 27.6518, 28.0534, 27.3273, 25.8406, 27.2856, 24.4404, 25.1035, 26.5397, 26.1823, 25.4398, 28.3138, 28.365, 25.6219, 29.0347, 28.9181, 26.4735, 26.5726, 27.8647, 26.1662, 25.1395, 28.0325, 28.1262, 26.1079, 25.4383, 25.2612, 26.4419, 26.7265, 25.8084, 25.613, 27.0386, 27.1849, 26.4798, 25.9671, 27.2486, 26.8695, 26.4727, 25.9535, 26.925, 27.1212, 25.8782, 25.8479, 27.5231, 26.8786, 26.8741, 46.0033, 42.6783, 44.9382, 44.5704, 44.3625, 44.4447, 43.5339, 44.7576, 45.0845, 44.9913, 42.9058, 45.3933, 44.0546, 45.4131, 44.3881, 44.2514, 42.3093, 44.4569, 43.7583, 44.5607, 43.9973, 44.5627, 42.0606, 43.5575, 45.0466, 42.3172, 40.7952, 42.8999, 42.8004, 44.4032, 45.5292, 42.984, 44.1127, 43.599, 44.4325, 44.6023, 44.155, 44.4068, 43.5687, 43.3763, 43.8854, 43.6397, 42.6514, 45.0048, 44.0001, 42.6422, 45.0584, 42.9667, 44.4945, 44.0631, 44.0059, 43.9193, 43.9741, 43.4569, 44.6873], "source": "synthetic"}
{"question_id": "timeseries_000325::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-013", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000326::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "27", "modality": "timeseries", "data_id": "timeseries-013", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000327::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "144", "modality": "timeseries", "data_id": "timeseries-013", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000328::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "27", "modality": "timeseries", "data_id": "timeseries-013", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000329::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "73.952", "modality": "timeseries", "data_id": "timeseries-013", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000330::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "66.442", "modality": "timeseries", "data_id": "timeseries-013", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000331::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "spike_anomaly", "modality": "timeseries", "data_id": "timeseries-013", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000332::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "45.441", "modality": "timeseries", "data_id": "timeseries-013", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000333::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-013", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000334::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-013", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000335::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "-4.093", "modality": "timeseries", "data_id": "timeseries-013", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000336::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "6", "modality": "timeseries", "data_id": "timeseries-013", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000337::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "above", "modality": "timeseries", "data_id": "timeseries-013", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000338::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-013", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000339::difficulty=2-hop", "question": "How many sign changes are in first-order differences?", "answer": "111", "modality": "timeseries", "data_id": "timeseries-013", "task": "oscillation_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000340::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "68.103", "modality": "timeseries", "data_id": "timeseries-013", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000341::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "27", "modality": "timeseries", "data_id": "timeseries-013", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000342::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-013", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000343::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-013", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000344::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-013", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000345::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-013", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000346::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-013", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000347::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-013", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000348::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-013", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000349::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-013", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "security", "pattern_type": "spike_anomaly", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [73.9521, 71.5068, 71.6209, 72.0606, 71.0137, 72.9911, 71.7235, 72.5265, 72.2515, 71.2924, 72.8417, 71.2262, 72.1408, 69.9142, 72.1224, 72.7736, 70.7181, 71.2322, 70.0317, 72.5446, 71.9869, 70.6027, 69.1282, 69.3209, 70.9513, 69.0104, 71.4744, 93.067, 71.9969, 70.0184, 71.7512, 70.7599, 71.3701, 69.6993, 70.9615, 70.8815, 70.0616, 70.2245, 71.8381, 70.4156, 71.5382, 71.1983, 71.6425, 71.9268, 70.9889, 70.4332, 71.4949, 69.1521, 70.9458, 71.5964, 70.711, 70.6064, 69.5172, 71.7117, 72.6397, 70.5253, 71.1544, 71.1103, 69.7895, 70.3329, 70.5682, 70.6347, 69.3328, 70.8434, 68.692, 69.3084, 69.6879, 67.6723, 71.3044, 70.1837, 68.6276, 68.8482, 69.2394, 69.9295, 70.9392, 69.8943, 67.9565, 69.1887, 69.392, 69.5316, 71.2109, 68.5693, 66.6638, 70.4162, 68.9115, 70.9911, 68.8246, 68.2609, 69.2264, 69.6143, 69.1801, 68.8796, 69.9534, 68.7887, 67.7198, 68.5099, 66.4938, 69.6565, 69.0983, 67.4092, 69.0661, 67.561, 69.5572, 67.945, 68.0237, 68.6827, 66.5269, 67.13, 69.1205, 68.1195, 68.9018, 67.5761, 69.7528, 68.2142, 68.3272, 65.7296, 67.3074, 68.1936, 68.2004, 67.8052, 65.2923, 68.1553, 66.9981, 66.3342, 67.2762, 66.759, 67.4052, 67.4471, 67.6199, 65.9852, 66.424, 67.7857, 67.0824, 67.1169, 65.7186, 67.5983, 67.0504, 66.6769, 66.5191, 67.4693, 67.1819, 49.9698, 66.612, 65.94, 47.6263, 65.822, 65.65, 66.0043, 66.5213, 65.4332, 66.8893, 66.3884, 66.2125, 66.1863, 66.351, 64.8529, 65.1744, 66.2436, 64.9329, 65.7698, 65.4429, 65.4836, 64.7808, 66.4421], "source": "synthetic"}
{"question_id": "timeseries_000350::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-014", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000351::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "157", "modality": "timeseries", "data_id": "timeseries-014", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000352::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "65", "modality": "timeseries", "data_id": "timeseries-014", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000353::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "63", "modality": "timeseries", "data_id": "timeseries-014", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000354::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "27.471", "modality": "timeseries", "data_id": "timeseries-014", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000355::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "44.677", "modality": "timeseries", "data_id": "timeseries-014", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000356::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "gradual_drift", "modality": "timeseries", "data_id": "timeseries-014", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000357::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "21.144", "modality": "timeseries", "data_id": "timeseries-014", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000358::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-014", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000359::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-014", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000360::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "10.235", "modality": "timeseries", "data_id": "timeseries-014", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000361::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "34", "modality": "timeseries", "data_id": "timeseries-014", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000362::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "below", "modality": "timeseries", "data_id": "timeseries-014", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000363::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-014", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000364::difficulty=2-hop", "question": "How many sign changes are in first-order differences?", "answer": "97", "modality": "timeseries", "data_id": "timeseries-014", "task": "oscillation_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000365::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "45.375", "modality": "timeseries", "data_id": "timeseries-014", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000366::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "157", "modality": "timeseries", "data_id": "timeseries-014", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000367::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-014", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000368::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-014", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000369::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-014", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000370::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-014", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000371::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-014", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000372::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-014", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000373::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-014", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000374::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-014", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "mlops", "pattern_type": "gradual_drift", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [27.4715, 26.2923, 24.1403, 26.6099, 25.2899, 25.9591, 25.1631, 26.3146, 25.3789, 26.2557, 26.8325, 25.4125, 24.8615, 24.7914, 25.6883, 26.5582, 26.4951, 24.9666, 26.6021, 25.9528, 27.1909, 24.7439, 27.8671, 26.1553, 25.0904, 25.5342, 24.7065, 27.185, 27.4566, 24.3354, 26.1648, 24.9956, 24.5693, 24.9382, 26.3939, 26.627, 26.5719, 25.6439, 24.8034, 25.663, 25.0819, 26.1009, 27.2634, 25.3851, 26.3225, 26.1687, 24.8938, 24.0236, 25.427, 25.3979, 26.3005, 26.3287, 26.8366, 26.2409, 26.5503, 26.4849, 26.8469, 26.8382, 28.4048, 26.2795, 28.0443, 26.4506, 27.5215, 27.122, 25.0087, 23.5332, 26.5532, 26.7109, 28.4146, 28.6292, 28.3096, 27.9464, 27.2379, 26.8151, 28.5635, 27.7961, 27.7627, 28.9697, 28.5576, 30.2878, 29.0825, 29.4822, 29.8563, 29.3276, 30.9899, 28.8472, 31.232, 30.5945, 30.4885, 30.4692, 31.3001, 31.5262, 33.9872, 31.5709, 31.5702, 32.7024, 31.5987, 33.0294, 33.0053, 31.1237, 34.5686, 34.877, 32.637, 33.2742, 33.3076, 33.9685, 33.531, 34.1184, 33.9927, 34.1732, 35.1292, 34.123, 35.449, 35.0057, 35.0136, 35.2874, 35.2379, 37.3637, 36.3846, 37.1484, 38.3112, 39.8829, 36.8627, 36.718, 36.4595, 38.8275, 37.4331, 38.9371, 37.5128, 38.1408, 38.1477, 39.5839, 39.0148, 38.782, 38.8732, 40.3712, 40.5974, 39.1481, 40.8294, 40.8727, 42.8453, 40.5983, 39.7111, 41.6268, 41.8181, 42.5126, 41.4524, 41.5898, 41.6966, 43.0654, 42.5774, 41.7638, 43.4158, 44.2369, 43.4827, 42.3378, 43.9789, 44.6768], "source": "synthetic"}
{"question_id": "timeseries_000375::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-015", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000376::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "65", "modality": "timeseries", "data_id": "timeseries-015", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000377::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "141", "modality": "timeseries", "data_id": "timeseries-015", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000378::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-015", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000379::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "61.798", "modality": "timeseries", "data_id": "timeseries-015", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000380::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "48.674", "modality": "timeseries", "data_id": "timeseries-015", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000381::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "multimodal", "modality": "timeseries", "data_id": "timeseries-015", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000382::difficulty=1-hop", "question": "Is the final value higher or lower than the first value?", "answer": "lower", "modality": "timeseries", "data_id": "timeseries-015", "task": "endpoint_comparison", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000383::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "29.767", "modality": "timeseries", "data_id": "timeseries-015", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000384::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-015", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000385::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-015", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000386::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "0.627", "modality": "timeseries", "data_id": "timeseries-015", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000387::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "30", "modality": "timeseries", "data_id": "timeseries-015", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000388::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "below", "modality": "timeseries", "data_id": "timeseries-015", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000389::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-015", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000390::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "44.698", "modality": "timeseries", "data_id": "timeseries-015", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000391::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "65", "modality": "timeseries", "data_id": "timeseries-015", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000392::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-015", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000393::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-015", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000394::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-015", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000395::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-015", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000396::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-015", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000397::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-015", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000398::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-015", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000399::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-015", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "renewables", "pattern_type": "multimodal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [61.7982, 66.3488, 69.8761, 66.2946, 63.2643, 58.3306, 55.0558, 50.5007, 52.6547, 55.2239, 57.9651, 56.833, 55.875, 52.1144, 46.9689, 42.4554, 40.9795, 44.455, 49.423, 49.5365, 54.8809, 54.8656, 52.6965, 51.4624, 47.8612, 50.6302, 54.1059, 57.0644, 65.022, 69.5365, 67.1416, 65.3666, 60.115, 56.5687, 59.5771, 57.6935, 60.1643, 61.4432, 65.4419, 62.1145, 58.1704, 51.2651, 46.5722, 44.5027, 46.029, 48.7061, 53.1741, 51.5911, 53.6184, 49.3781, 46.6405, 44.9836, 45.515, 48.4182, 52.3074, 59.2263, 60.0819, 62.7465, 60.6499, 58.3718, 58.4054, 54.8636, 58.0861, 61.8003, 65.4628, 70.1009, 64.9225, 62.4643, 55.4241, 52.2773, 50.4371, 50.2434, 53.4854, 53.3773, 54.2231, 53.3054, 49.5526, 44.3464, 41.8742, 40.7436, 45.4203, 46.1658, 54.9667, 52.991, 58.4855, 55.0502, 51.8759, 50.283, 51.4443, 54.2948, 60.6709, 67.0186, 68.7184, 68.1154, 64.4731, 57.6504, 55.89, 55.6645, 57.1935, 59.5954, 63.1152, 63.2808, 59.3581, 54.0417, 48.8531, 45.0152, 44.4582, 46.0, 43.9966, 50.1018, 53.5562, 54.0814, 51.1049, 45.5173, 45.7762, 44.5768, 51.1197, 54.1161, 59.956, 66.0484, 64.3839, 63.1506, 57.6273, 57.3108, 56.9447, 59.9107, 59.8919, 66.7115, 66.5263, 65.8987, 61.9737, 54.3189, 50.1174, 49.0539, 47.6058, 50.1959, 52.0405, 55.5394, 51.1697, 50.358, 44.4031, 40.3336, 41.777, 43.6659, 48.9548, 52.0916, 54.8013, 59.1698, 57.2356, 53.3816, 52.3098, 53.8548, 53.9942, 61.6656, 64.738, 66.5542, 67.8985, 63.8547, 57.8986, 56.7146, 52.4622, 55.9272, 55.0955, 60.5925, 59.5175, 57.8335, 52.6497, 48.6738], "source": "synthetic"}
{"question_id": "timeseries_000400::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-016", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000401::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "118", "modality": "timeseries", "data_id": "timeseries-016", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000402::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "4", "modality": "timeseries", "data_id": "timeseries-016", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000403::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-016", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000404::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "73.937", "modality": "timeseries", "data_id": "timeseries-016", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000405::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "107.891", "modality": "timeseries", "data_id": "timeseries-016", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000406::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "linear_trend", "modality": "timeseries", "data_id": "timeseries-016", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000407::difficulty=1-hop", "question": "Is the final value higher or lower than the first value?", "answer": "higher", "modality": "timeseries", "data_id": "timeseries-016", "task": "endpoint_comparison", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000408::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "36.304", "modality": "timeseries", "data_id": "timeseries-016", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000409::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-016", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000410::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-016", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000411::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "17.021", "modality": "timeseries", "data_id": "timeseries-016", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000412::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "27", "modality": "timeseries", "data_id": "timeseries-016", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000413::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "below", "modality": "timeseries", "data_id": "timeseries-016", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000414::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-016", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000415::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "108.342", "modality": "timeseries", "data_id": "timeseries-016", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000416::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "4", "modality": "timeseries", "data_id": "timeseries-016", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000417::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-016", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000418::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-016", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000419::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-016", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000420::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-016", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000421::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-016", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000422::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-016", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000423::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-016", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000424::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-016", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "operations", "pattern_type": "linear_trend", "sampling_rate": "daily", "sampling_info": "uniform daily intervals"}, "data_format": "timeseries_list", "data": [73.9374, 76.0053, 76.6556, 76.2508, 72.4475, 75.7134, 78.3981, 76.8121, 76.5052, 77.2279, 78.384, 78.9492, 77.4563, 77.8676, 77.7384, 80.6011, 79.1048, 80.765, 81.252, 79.6679, 80.8224, 81.4178, 80.8133, 81.3749, 84.1265, 82.0134, 83.3145, 83.1392, 84.1676, 83.5287, 86.1094, 84.3883, 81.526, 85.0796, 83.8635, 81.4466, 85.3464, 84.0056, 83.4097, 85.3255, 85.7386, 86.9439, 85.6531, 89.3508, 85.6333, 88.3239, 86.7894, 85.0021, 88.9616, 86.3091, 85.4343, 87.5655, 91.9262, 91.522, 85.6219, 89.6178, 89.8558, 90.3295, 91.1386, 88.9911, 91.424, 92.9145, 90.8328, 89.172, 93.2002, 93.6309, 91.4211, 93.1177, 96.6769, 94.7105, 95.5298, 93.808, 93.8737, 91.4705, 93.1785, 96.3012, 96.9518, 95.2746, 95.1867, 97.5821, 96.5496, 97.93, 96.734, 97.643, 99.3292, 101.1839, 98.3695, 98.9505, 98.3936, 101.4197, 99.7058, 98.8528, 95.3229, 101.9707, 99.4139, 100.3617, 100.7025, 101.5966, 100.8453, 99.7865, 101.8168, 102.5205, 100.5677, 102.5419, 102.6991, 103.6915, 102.9422, 104.0588, 102.8649, 108.1915, 103.711, 104.6752, 105.2442, 106.2045, 104.8759, 105.5323, 105.9775, 105.5907, 108.7517, 107.4759, 108.6717, 105.7613, 105.0368, 107.2438, 107.4646, 107.4388, 107.8906], "source": "synthetic"}
{"question_id": "timeseries_000425::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-017", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000426::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "64", "modality": "timeseries", "data_id": "timeseries-017", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000427::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "17", "modality": "timeseries", "data_id": "timeseries-017", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000428::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-017", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000429::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "52.996", "modality": "timeseries", "data_id": "timeseries-017", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000430::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "61.222", "modality": "timeseries", "data_id": "timeseries-017", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000431::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "seasonal", "modality": "timeseries", "data_id": "timeseries-017", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000432::difficulty=1-hop", "question": "Is the final value higher or lower than the first value?", "answer": "higher", "modality": "timeseries", "data_id": "timeseries-017", "task": "endpoint_comparison", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000433::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "20.646", "modality": "timeseries", "data_id": "timeseries-017", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000434::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-017", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000435::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-017", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000436::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "-0.659", "modality": "timeseries", "data_id": "timeseries-017", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000437::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "15", "modality": "timeseries", "data_id": "timeseries-017", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000438::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "above", "modality": "timeseries", "data_id": "timeseries-017", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000439::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-017", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000440::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "57.889", "modality": "timeseries", "data_id": "timeseries-017", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000441::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "17", "modality": "timeseries", "data_id": "timeseries-017", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000442::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-017", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000443::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-017", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000444::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-017", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000445::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-017", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000446::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-017", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000447::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-017", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000448::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-017", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000449::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-017", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "aviation", "pattern_type": "seasonal", "sampling_rate": "hourly", "sampling_info": "uniform hourly intervals"}, "data_format": "timeseries_list", "data": [52.9958, 55.1292, 55.9533, 61.8558, 59.7373, 63.1019, 64.7471, 66.5278, 67.2051, 65.2523, 63.9148, 62.2301, 60.1994, 56.6772, 51.3154, 51.6789, 51.0451, 48.3047, 50.4494, 50.1221, 55.1626, 57.6899, 58.8787, 62.0053, 65.1303, 65.7744, 67.2876, 67.5565, 66.6696, 63.9561, 62.3971, 58.3621, 56.7124, 52.7609, 52.4673, 51.9818, 50.1087, 50.8045, 52.2828, 51.448, 56.5777, 57.9244, 62.1921, 63.9134, 67.0693, 67.3611, 66.5675, 67.4284, 64.1415, 61.1762, 61.0074, 55.6907, 55.1887, 53.3863, 51.6507, 50.8253, 50.9095, 50.1041, 52.6441, 56.4024, 56.7671, 61.5358, 63.7708, 64.689, 68.9504, 66.829, 65.5103, 64.5551, 61.2218], "source": "synthetic"}
{"question_id": "timeseries_000450::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-018", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000451::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "163", "modality": "timeseries", "data_id": "timeseries-018", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000452::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "7", "modality": "timeseries", "data_id": "timeseries-018", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000453::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "none", "modality": "timeseries", "data_id": "timeseries-018", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000454::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "38.010", "modality": "timeseries", "data_id": "timeseries-018", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000455::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "48.952", "modality": "timeseries", "data_id": "timeseries-018", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000456::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "trend_seasonal", "modality": "timeseries", "data_id": "timeseries-018", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000457::difficulty=1-hop", "question": "Is the final value higher or lower than the first value?", "answer": "higher", "modality": "timeseries", "data_id": "timeseries-018", "task": "endpoint_comparison", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000458::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "30.560", "modality": "timeseries", "data_id": "timeseries-018", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000459::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-018", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000460::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-018", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000461::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "6.579", "modality": "timeseries", "data_id": "timeseries-018", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000462::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "32", "modality": "timeseries", "data_id": "timeseries-018", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000463::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "below", "modality": "timeseries", "data_id": "timeseries-018", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000464::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-018", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000465::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "43.721", "modality": "timeseries", "data_id": "timeseries-018", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000466::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "7", "modality": "timeseries", "data_id": "timeseries-018", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000467::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-018", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000468::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-018", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000469::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-018", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000470::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-018", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000471::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-018", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000472::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-018", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000473::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-018", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000474::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-018", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "networking", "pattern_type": "trend_seasonal", "sampling_rate": "minute", "sampling_info": "uniform minute intervals"}, "data_format": "timeseries_list", "data": [38.0101, 38.6824, 45.296, 41.0358, 43.4642, 37.0012, 32.6671, 27.3921, 27.8752, 32.5912, 37.2636, 42.5261, 47.3884, 44.6904, 43.3028, 37.7264, 31.328, 30.2923, 29.4099, 32.8009, 39.5948, 41.4683, 46.4636, 47.0471, 42.8249, 37.415, 35.4142, 32.222, 29.8488, 35.2618, 38.0703, 45.05, 48.2519, 46.5927, 42.565, 39.7252, 34.8418, 33.2749, 32.0143, 34.7062, 42.1223, 41.9744, 47.736, 46.1813, 43.3045, 39.4848, 34.6067, 31.64, 34.8474, 33.4531, 38.9056, 44.2934, 49.9113, 46.0533, 44.8566, 41.335, 34.1588, 31.317, 30.3616, 37.352, 40.3905, 44.428, 47.76, 48.983, 45.4007, 39.8214, 35.649, 33.299, 33.6366, 34.7844, 41.8011, 47.7814, 50.9545, 48.4949, 45.7951, 39.6847, 36.4104, 33.4674, 34.7942, 37.2448, 42.8842, 47.2869, 48.9603, 52.2213, 47.3163, 42.3442, 37.9681, 32.8751, 33.687, 36.5891, 42.9235, 48.9964, 52.0352, 51.1647, 49.1791, 43.5747, 38.8324, 37.5177, 36.073, 38.8808, 44.908, 49.5268, 50.8448, 53.1858, 46.8499, 44.3732, 36.9991, 38.0631, 35.7283, 39.7954, 44.4662, 50.7507, 52.0754, 52.5436, 48.1979, 46.1144, 40.4416, 36.8436, 36.211, 41.7417, 46.1665, 49.4865, 53.5291, 55.5467, 51.576, 46.3401, 39.5866, 38.3082, 37.0353, 42.0183, 46.8447, 50.7041, 54.8119, 54.1487, 50.5644, 48.0017, 42.3443, 38.9728, 41.1856, 40.853, 46.7192, 52.4078, 54.6175, 54.6211, 52.369, 46.42, 39.7405, 39.2442, 39.187, 43.6138, 45.8646, 50.9331, 54.6391, 55.3616, 51.4147, 47.9852, 42.1126, 37.1491, 40.2634, 42.5172, 47.8763, 54.7155, 54.1131, 57.9521, 52.8811, 48.3533, 44.0066, 40.7325, 41.1164, 44.7242, 49.5023, 53.2167, 54.7568, 57.2636, 54.1837, 48.9521], "source": "synthetic"}
{"question_id": "timeseries_000475::difficulty=1-hop", "question": "Does this series show periodic/seasonal behavior?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-019", "task": "seasonality_detection", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000476::difficulty=1-hop", "question": "At which timestep does the maximum value occur?", "answer": "20", "modality": "timeseries", "data_id": "timeseries-019", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000477::difficulty=1-hop", "question": "At which timestep does the minimum value occur?", "answer": "67", "modality": "timeseries", "data_id": "timeseries-019", "task": "peak_identification", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000478::difficulty=1-hop", "question": "At approximately which timestep does a significant change occur?", "answer": "38", "modality": "timeseries", "data_id": "timeseries-019", "task": "change_point", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000479::difficulty=1-hop", "question": "What is the first value in the series?", "answer": "33.141", "modality": "timeseries", "data_id": "timeseries-019", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000480::difficulty=1-hop", "question": "What is the last value in the series?", "answer": "29.928", "modality": "timeseries", "data_id": "timeseries-019", "task": "value_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000481::difficulty=1-hop", "question": "What is the pattern type label for this dataset?", "answer": "step_function", "modality": "timeseries", "data_id": "timeseries-019", "task": "pattern_label_lookup", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000482::difficulty=1-hop", "question": "Is the final value higher or lower than the first value?", "answer": "lower", "modality": "timeseries", "data_id": "timeseries-019", "task": "endpoint_comparison", "difficulty": "1-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000483::difficulty=2-hop", "question": "What is the range (max - min) of values?", "answer": "14.914", "modality": "timeseries", "data_id": "timeseries-019", "task": "range_query", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000484::difficulty=2-hop", "question": "Is this series more volatile in the first or second half?", "answer": "first half", "modality": "timeseries", "data_id": "timeseries-019", "task": "volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000485::difficulty=2-hop", "question": "Is the mean of the second half higher than the first half?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-019", "task": "mean_half_comparison", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000486::difficulty=2-hop", "question": "By how much does second-half mean exceed first-half mean?", "answer": "0.006", "modality": "timeseries", "data_id": "timeseries-019", "task": "mean_shift_magnitude", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000487::difficulty=2-hop", "question": "How many timesteps are above mean plus one standard deviation?", "answer": "10", "modality": "timeseries", "data_id": "timeseries-019", "task": "threshold_count", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000488::difficulty=2-hop", "question": "Is the median value above or below the overall mean?", "answer": "above", "modality": "timeseries", "data_id": "timeseries-019", "task": "median_mean_relation", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000489::difficulty=2-hop", "question": "Is the average absolute change larger in first or second half?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-019", "task": "change_volatility", "difficulty": "2-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000490::difficulty=3-hop", "question": "Based on the most recent change, what is the next expected value?", "answer": "25.885", "modality": "timeseries", "data_id": "timeseries-019", "task": "forecasting", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000491::difficulty=3-hop", "question": "Which timestep appears most anomalous relative to the sequence average?", "answer": "67", "modality": "timeseries", "data_id": "timeseries-019", "task": "anomaly_detection", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000492::difficulty=3-hop", "question": "Do both halves move in the same trend direction?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-019", "task": "split_trend_consistency", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000493::difficulty=3-hop", "question": "Does the peak occur after the trough?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-019", "task": "peak_trough_order", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000494::difficulty=3-hop", "question": "Is normalized amplitude (range/|mean|) greater than 1.0?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-019", "task": "normalized_amplitude", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000495::difficulty=3-hop", "question": "Which half has larger mean absolute first difference?", "answer": "second half", "modality": "timeseries", "data_id": "timeseries-019", "task": "half_change_intensity", "difficulty": "3-hop", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000496::difficulty=counterfactual", "question": "If each point increased by 5, would the trend direction change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-019", "task": "pattern_classification", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000497::difficulty=counterfactual", "question": "If every value increased by 10%, would max index change?", "answer": "no", "modality": "timeseries", "data_id": "timeseries-019", "task": "counterfactual_scale_peak", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000498::difficulty=counterfactual", "question": "If we add 5 only to second half, would second-half mean exceed first-half mean?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-019", "task": "counterfactual_half_shift", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "timeseries_000499::difficulty=counterfactual", "question": "If the series were multiplied by -1, would max and min indices swap?", "answer": "yes", "modality": "timeseries", "data_id": "timeseries-019", "task": "counterfactual_sign_flip", "difficulty": "counterfactual", "viz_methods": ["line_plot", "gaf", "recurrence_plot", "heatmap", "text_only"], "metadata": {"domain": "insurance", "pattern_type": "step_function", "sampling_rate": "weekly", "sampling_info": "uniform weekly intervals"}, "data_format": "timeseries_list", "data": [33.141, 33.1943, 32.1015, 33.9684, 32.6296, 30.6704, 31.1219, 33.1645, 33.6008, 33.1858, 30.9196, 33.3611, 33.138, 31.4609, 32.4324, 32.4774, 32.9389, 31.7412, 31.8462, 31.7209, 34.0116, 31.6564, 31.4566, 31.7411, 31.3463, 31.2726, 32.6799, 31.0831, 31.7663, 29.9829, 32.9356, 32.7225, 33.2956, 33.9771, 30.5382, 32.1648, 30.2958, 29.0266, 21.9929, 21.3239, 21.8609, 22.1248, 20.5777, 21.8129, 23.0694, 20.5735, 20.2778, 21.7982, 20.864, 19.7251, 23.0597, 22.4495, 19.3086, 19.4438, 19.2658, 20.6554, 21.4656, 21.5578, 22.2358, 21.554, 20.9626, 21.1653, 23.107, 20.8712, 21.8002, 21.4494, 21.1183, 19.0973, 20.7658, 21.5993, 21.7568, 21.2357, 19.1346, 21.3097, 22.0428, 22.2668, 22.3414, 29.3847, 32.18, 30.3234, 31.0194, 33.644, 30.811, 30.1198, 32.1692, 29.3325, 31.8391, 32.6016, 33.8075, 31.8184, 31.1478, 32.3313, 29.2697, 30.3812, 30.6867, 32.2904, 33.3223, 30.5296, 31.115, 31.0367, 31.02, 30.5291, 31.6255, 32.3234, 31.1546, 32.0184, 31.4042, 31.256, 31.7116, 30.874, 29.4839, 30.1391, 31.36, 29.8168, 31.6114, 31.6165, 33.9706, 29.9276], "source": "synthetic"}
{"question_id": "graph_000000::difficulty=1-hop", "question": "Are node 0 and node 23 connected?", "answer": "yes", "modality": "graph", "data_id": "citation_network_small", "task": "connectivity", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000001::difficulty=1-hop", "question": "What is the degree of node 0?", "answer": "5", "modality": "graph", "data_id": "citation_network_small", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000002::difficulty=1-hop", "question": "What is the degree of node 12?", "answer": "0", "modality": "graph", "data_id": "citation_network_small", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000003::difficulty=1-hop", "question": "What is the degree of node 23?", "answer": "5", "modality": "graph", "data_id": "citation_network_small", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000004::difficulty=1-hop", "question": "How many edges does this graph have?", "answer": "35", "modality": "graph", "data_id": "citation_network_small", "task": "edge_count", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000005::difficulty=1-hop", "question": "How many immediate neighbors does node 4 have?", "answer": "6", "modality": "graph", "data_id": "citation_network_small", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000006::difficulty=1-hop", "question": "How many immediate neighbors does node 6 have?", "answer": "6", "modality": "graph", "data_id": "citation_network_small", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000007::difficulty=2-hop", "question": "What is the shortest path length between node 0 and node 23?", "answer": "2", "modality": "graph", "data_id": "citation_network_small", "task": "shortest_path", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000008::difficulty=2-hop", "question": "Which node has the highest degree?", "answer": "4", "modality": "graph", "data_id": "citation_network_small", "task": "degree_query", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000009::difficulty=2-hop", "question": "What is the approximate clustering coefficient of the graph?", "answer": "0.096", "modality": "graph", "data_id": "citation_network_small", "task": "clustering", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000010::difficulty=2-hop", "question": "Is this graph bipartite?", "answer": "no", "modality": "graph", "data_id": "citation_network_small", "task": "bipartite_check", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000011::difficulty=2-hop", "question": "Does this graph contain a cycle?", "answer": "yes", "modality": "graph", "data_id": "citation_network_small", "task": "cycle_detection", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000012::difficulty=2-hop", "question": "Is there a path between node 0 and node 1?", "answer": "yes", "modality": "graph", "data_id": "citation_network_small", "task": "connectivity", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000013::difficulty=2-hop", "question": "Is there a path between node 0 and node 2?", "answer": "yes", "modality": "graph", "data_id": "citation_network_small", "task": "connectivity", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000014::difficulty=2-hop", "question": "Is there a path between node 0 and node 3?", "answer": "yes", "modality": "graph", "data_id": "citation_network_small", "task": "connectivity", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000015::difficulty=3-hop", "question": "What fraction of nodes belong to the largest connected component?", "answer": "0.833", "modality": "graph", "data_id": "citation_network_small", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000016::difficulty=3-hop", "question": "Which node has the highest betweenness centrality?", "answer": "4", "modality": "graph", "data_id": "citation_network_small", "task": "centrality", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000017::difficulty=3-hop", "question": "What is the diameter of the graph (or largest component)?", "answer": "5", "modality": "graph", "data_id": "citation_network_small", "task": "diameter", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000018::difficulty=3-hop", "question": "What is the average degree among node 0, node 12, and node 23?", "answer": "3.333", "modality": "graph", "data_id": "citation_network_small", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000019::difficulty=3-hop", "question": "How many nodes are in the largest connected component?", "answer": "20", "modality": "graph", "data_id": "citation_network_small", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000020::difficulty=3-hop", "question": "What is the average degree of the graph?", "answer": "2.917", "modality": "graph", "data_id": "citation_network_small", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000021::difficulty=counterfactual", "question": "If one bridge edge were removed, would the number of connected components likely increase?", "answer": "yes", "modality": "graph", "data_id": "citation_network_small", "task": "community", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000022::difficulty=counterfactual", "question": "If an edge were added between node 0 and node 23, would they be directly connected?", "answer": "yes", "modality": "graph", "data_id": "citation_network_small", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000023::difficulty=counterfactual", "question": "If the edge between node 0 and node 23 were removed, would the number of connected components increase?", "answer": "no", "modality": "graph", "data_id": "citation_network_small", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
{"question_id": "graph_000024::difficulty=counterfactual", "question": "If one random edge were removed, would the total edge count decrease by one?", "answer": "yes", "modality": "graph", "data_id": "citation_network_small", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "scholarly", "topology_type": "erdos_renyi", "num_nodes": 24, "num_edges": 35}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}], "edges": [{"source": 0, "target": 2}, {"source": 0, "target": 8}, {"source": 0, "target": 10}, {"source": 0, "target": 13}, {"source": 0, "target": 20}, {"source": 1, "target": 5}, {"source": 1, "target": 6}, {"source": 1, "target": 20}, {"source": 1, "target": 23}, {"source": 2, "target": 4}, {"source": 3, "target": 5}, {"source": 4, "target": 7}, {"source": 4, "target": 8}, {"source": 4, "target": 9}, {"source": 4, "target": 13}, {"source": 4, "target": 19}, {"source": 5, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 10}, {"source": 6, "target": 15}, {"source": 6, "target": 18}, {"source": 6, "target": 20}, {"source": 8, "target": 13}, {"source": 8, "target": 18}, {"source": 9, "target": 15}, {"source": 9, "target": 22}, {"source": 10, "target": 23}, {"source": 11, "target": 21}, {"source": 13, "target": 17}, {"source": 13, "target": 23}, {"source": 14, "target": 19}, {"source": 16, "target": 21}, {"source": 17, "target": 19}, {"source": 19, "target": 23}, {"source": 22, "target": 23}]}, "source": "synthetic"}
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{"question_id": "graph_000056::difficulty=1-hop", "question": "How many immediate neighbors does node 5 have?", "answer": "9", "modality": "graph", "data_id": "sensor_reliability_sparse", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "iot", "topology_type": "erdos_renyi", "num_nodes": 68, "num_edges": 126}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 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{"question_id": "graph_000082::difficulty=2-hop", "question": "What is the shortest path length between node 0 and node 37?", "answer": "2", "modality": "graph", "data_id": "social_influencer_core", "task": "shortest_path", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
{"question_id": "graph_000083::difficulty=2-hop", "question": "Which node has the highest degree?", "answer": "4", "modality": "graph", "data_id": "social_influencer_core", "task": "degree_query", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
{"question_id": "graph_000084::difficulty=2-hop", "question": "What is the approximate clustering coefficient of the graph?", "answer": "0.223", "modality": "graph", "data_id": "social_influencer_core", "task": "clustering", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
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{"question_id": "graph_000090::difficulty=3-hop", "question": "What fraction of nodes belong to the largest connected component?", "answer": "1.0", "modality": "graph", "data_id": "social_influencer_core", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
{"question_id": "graph_000091::difficulty=3-hop", "question": "Which node has the highest betweenness centrality?", "answer": "4", "modality": "graph", "data_id": "social_influencer_core", "task": "centrality", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
{"question_id": "graph_000092::difficulty=3-hop", "question": "What is the diameter of the graph (or largest component)?", "answer": "5", "modality": "graph", "data_id": "social_influencer_core", "task": "diameter", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
{"question_id": "graph_000093::difficulty=3-hop", "question": "What is the average degree among node 0, node 19, and node 37?", "answer": "5.000", "modality": "graph", "data_id": "social_influencer_core", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
{"question_id": "graph_000094::difficulty=3-hop", "question": "How many nodes are in the largest connected component?", "answer": "38", "modality": "graph", "data_id": "social_influencer_core", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
{"question_id": "graph_000095::difficulty=3-hop", "question": "What is the average degree of the graph?", "answer": "3.789", "modality": "graph", "data_id": "social_influencer_core", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
{"question_id": "graph_000096::difficulty=counterfactual", "question": "If one bridge edge were removed, would the number of connected components likely increase?", "answer": "yes", "modality": "graph", "data_id": "social_influencer_core", "task": "community", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
{"question_id": "graph_000097::difficulty=counterfactual", "question": "If an edge were added between node 0 and node 37, would they be directly connected?", "answer": "yes", "modality": "graph", "data_id": "social_influencer_core", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
{"question_id": "graph_000098::difficulty=counterfactual", "question": "If the edge between node 0 and node 37 were removed, would the number of connected components increase?", "answer": "no", "modality": "graph", "data_id": "social_influencer_core", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
{"question_id": "graph_000099::difficulty=counterfactual", "question": "If one random edge were removed, would the total edge count decrease by one?", "answer": "yes", "modality": "graph", "data_id": "social_influencer_core", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "social", "topology_type": "barabasi_albert", "num_nodes": 38, "num_edges": 72}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 10}, {"source": 0, "target": 17}, {"source": 0, "target": 19}, {"source": 0, "target": 25}, {"source": 0, "target": 27}, {"source": 1, "target": 8}, {"source": 1, "target": 10}, {"source": 1, "target": 11}, {"source": 1, "target": 14}, {"source": 1, "target": 15}, {"source": 1, "target": 16}, {"source": 1, "target": 21}, {"source": 1, "target": 35}, {"source": 2, "target": 3}, {"source": 2, "target": 5}, {"source": 2, "target": 8}, {"source": 2, "target": 13}, {"source": 2, "target": 23}, {"source": 2, "target": 27}, {"source": 2, "target": 33}, {"source": 3, "target": 4}, {"source": 3, "target": 6}, {"source": 3, "target": 7}, {"source": 3, "target": 9}, {"source": 3, "target": 11}, {"source": 3, "target": 32}, {"source": 4, "target": 5}, {"source": 4, "target": 17}, {"source": 4, "target": 19}, {"source": 4, "target": 24}, {"source": 4, "target": 28}, {"source": 4, "target": 30}, {"source": 4, "target": 31}, {"source": 4, "target": 33}, {"source": 4, "target": 34}, {"source": 4, "target": 35}, {"source": 4, "target": 37}, {"source": 5, "target": 9}, {"source": 5, "target": 12}, {"source": 5, "target": 18}, {"source": 7, "target": 23}, {"source": 7, "target": 25}, {"source": 7, "target": 28}, {"source": 7, "target": 31}, {"source": 8, "target": 14}, {"source": 10, "target": 12}, {"source": 11, "target": 13}, {"source": 11, "target": 15}, {"source": 11, "target": 18}, {"source": 11, "target": 21}, {"source": 11, "target": 22}, {"source": 11, "target": 30}, {"source": 12, "target": 20}, {"source": 14, "target": 29}, {"source": 15, "target": 16}, {"source": 17, "target": 20}, {"source": 18, "target": 22}, {"source": 18, "target": 29}, {"source": 21, "target": 24}, {"source": 21, "target": 32}, {"source": 22, "target": 26}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 27, "target": 34}, {"source": 32, "target": 36}, {"source": 33, "target": 37}]}, "source": "synthetic"}
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{"question_id": "graph_000206::difficulty=1-hop", "question": "How many immediate neighbors does node 28 have?", "answer": "6", "modality": "graph", "data_id": "warehouse_robot_links", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000207::difficulty=2-hop", "question": "What is the shortest path length between node 0 and node 47?", "answer": "1", "modality": "graph", "data_id": "warehouse_robot_links", "task": "shortest_path", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000208::difficulty=2-hop", "question": "Which node has the highest degree?", "answer": "14", "modality": "graph", "data_id": "warehouse_robot_links", "task": "degree_query", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000209::difficulty=2-hop", "question": "What is the approximate clustering coefficient of the graph?", "answer": "0.226", "modality": "graph", "data_id": "warehouse_robot_links", "task": "clustering", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
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{"question_id": "graph_000215::difficulty=3-hop", "question": "What fraction of nodes belong to the largest connected component?", "answer": "1.0", "modality": "graph", "data_id": "warehouse_robot_links", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000216::difficulty=3-hop", "question": "Which node has the highest betweenness centrality?", "answer": "24", "modality": "graph", "data_id": "warehouse_robot_links", "task": "centrality", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000217::difficulty=3-hop", "question": "What is the diameter of the graph (or largest component)?", "answer": "6", "modality": "graph", "data_id": "warehouse_robot_links", "task": "diameter", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000218::difficulty=3-hop", "question": "What is the average degree among node 0, node 24, and node 47?", "answer": "4.000", "modality": "graph", "data_id": "warehouse_robot_links", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000219::difficulty=3-hop", "question": "How many nodes are in the largest connected component?", "answer": "48", "modality": "graph", "data_id": "warehouse_robot_links", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000220::difficulty=3-hop", "question": "What is the average degree of the graph?", "answer": "4.000", "modality": "graph", "data_id": "warehouse_robot_links", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000221::difficulty=counterfactual", "question": "If one bridge edge were removed, would the number of connected components likely increase?", "answer": "yes", "modality": "graph", "data_id": "warehouse_robot_links", "task": "community", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000222::difficulty=counterfactual", "question": "If an edge were added between node 0 and node 47, would they be directly connected?", "answer": "yes", "modality": "graph", "data_id": "warehouse_robot_links", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000223::difficulty=counterfactual", "question": "If the edge between node 0 and node 47 were removed, would the number of connected components increase?", "answer": "no", "modality": "graph", "data_id": "warehouse_robot_links", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000224::difficulty=counterfactual", "question": "If one random edge were removed, would the total edge count decrease by one?", "answer": "yes", "modality": "graph", "data_id": "warehouse_robot_links", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "robotics", "topology_type": "watts_strogatz", "num_nodes": 48, "num_edges": 96}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}], "edges": [{"source": 0, "target": 47}, {"source": 0, "target": 46}, {"source": 0, "target": 13}, {"source": 0, "target": 24}, {"source": 1, "target": 2}, {"source": 1, "target": 3}, {"source": 1, "target": 47}, {"source": 1, "target": 16}, {"source": 2, "target": 4}, {"source": 2, "target": 29}, {"source": 3, "target": 4}, {"source": 3, "target": 5}, {"source": 3, "target": 35}, {"source": 4, "target": 37}, {"source": 4, "target": 18}, {"source": 4, "target": 21}, {"source": 5, "target": 7}, {"source": 5, "target": 30}, {"source": 6, "target": 7}, {"source": 6, "target": 8}, {"source": 6, "target": 32}, {"source": 7, "target": 8}, {"source": 7, "target": 9}, {"source": 8, "target": 10}, {"source": 8, "target": 28}, {"source": 9, "target": 10}, {"source": 9, "target": 11}, {"source": 9, "target": 25}, {"source": 10, "target": 11}, {"source": 10, "target": 12}, {"source": 11, "target": 12}, {"source": 11, "target": 13}, {"source": 12, "target": 13}, {"source": 12, "target": 14}, {"source": 13, "target": 14}, {"source": 13, "target": 15}, {"source": 14, "target": 15}, {"source": 14, "target": 16}, {"source": 14, "target": 43}, {"source": 14, "target": 45}, {"source": 15, "target": 16}, {"source": 15, "target": 17}, {"source": 16, "target": 18}, {"source": 17, "target": 18}, {"source": 17, "target": 19}, {"source": 18, "target": 20}, {"source": 18, "target": 23}, {"source": 19, "target": 20}, {"source": 19, "target": 21}, {"source": 20, "target": 21}, {"source": 20, "target": 22}, {"source": 20, "target": 42}, {"source": 21, "target": 28}, {"source": 22, "target": 24}, {"source": 22, "target": 40}, {"source": 22, "target": 34}, {"source": 23, "target": 24}, {"source": 23, "target": 32}, {"source": 23, "target": 28}, {"source": 24, "target": 25}, {"source": 24, "target": 31}, {"source": 25, "target": 26}, {"source": 26, "target": 27}, {"source": 26, "target": 28}, {"source": 27, "target": 28}, {"source": 27, "target": 29}, {"source": 28, "target": 29}, {"source": 29, "target": 30}, {"source": 29, "target": 31}, {"source": 30, "target": 31}, {"source": 30, "target": 32}, {"source": 31, "target": 32}, {"source": 31, "target": 33}, {"source": 32, "target": 34}, {"source": 33, "target": 34}, {"source": 33, "target": 35}, {"source": 34, "target": 35}, {"source": 35, "target": 36}, {"source": 36, "target": 37}, {"source": 36, "target": 38}, {"source": 37, "target": 38}, {"source": 37, "target": 39}, {"source": 38, "target": 40}, {"source": 38, "target": 43}, {"source": 39, "target": 40}, {"source": 39, "target": 41}, {"source": 40, "target": 41}, {"source": 40, "target": 42}, {"source": 41, "target": 42}, {"source": 41, "target": 43}, {"source": 42, "target": 43}, {"source": 43, "target": 45}, {"source": 44, "target": 45}, {"source": 44, "target": 46}, {"source": 45, "target": 46}, {"source": 46, "target": 47}]}, "source": "synthetic"}
{"question_id": "graph_000225::difficulty=1-hop", "question": "Are node 0 and node 44 connected?", "answer": "yes", "modality": "graph", "data_id": "energy_distribution_tree", "task": "connectivity", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
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{"question_id": "graph_000227::difficulty=1-hop", "question": "What is the degree of node 22?", "answer": "1", "modality": "graph", "data_id": "energy_distribution_tree", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000228::difficulty=1-hop", "question": "What is the degree of node 44?", "answer": "4", "modality": "graph", "data_id": "energy_distribution_tree", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000229::difficulty=1-hop", "question": "How many edges does this graph have?", "answer": "44", "modality": "graph", "data_id": "energy_distribution_tree", "task": "edge_count", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000230::difficulty=1-hop", "question": "How many immediate neighbors does node 4 have?", "answer": "4", "modality": "graph", "data_id": "energy_distribution_tree", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000231::difficulty=1-hop", "question": "How many immediate neighbors does node 18 have?", "answer": "4", "modality": "graph", "data_id": "energy_distribution_tree", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000232::difficulty=2-hop", "question": "What is the shortest path length between node 0 and node 44?", "answer": "6", "modality": "graph", "data_id": "energy_distribution_tree", "task": "shortest_path", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000233::difficulty=2-hop", "question": "Which node has the highest degree?", "answer": "4", "modality": "graph", "data_id": "energy_distribution_tree", "task": "degree_query", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000234::difficulty=2-hop", "question": "What is the approximate clustering coefficient of the graph?", "answer": "0.000", "modality": "graph", "data_id": "energy_distribution_tree", "task": "clustering", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000235::difficulty=2-hop", "question": "Is this graph bipartite?", "answer": "yes", "modality": "graph", "data_id": "energy_distribution_tree", "task": "bipartite_check", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000236::difficulty=2-hop", "question": "Does this graph contain a cycle?", "answer": "no", "modality": "graph", "data_id": "energy_distribution_tree", "task": "cycle_detection", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000237::difficulty=2-hop", "question": "Is there a path between node 0 and node 1?", "answer": "yes", "modality": "graph", "data_id": "energy_distribution_tree", "task": "connectivity", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000238::difficulty=2-hop", "question": "Is there a path between node 0 and node 2?", "answer": "yes", "modality": "graph", "data_id": "energy_distribution_tree", "task": "connectivity", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000239::difficulty=2-hop", "question": "Is there a path between node 0 and node 3?", "answer": "yes", "modality": "graph", "data_id": "energy_distribution_tree", "task": "connectivity", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000240::difficulty=3-hop", "question": "What fraction of nodes belong to the largest connected component?", "answer": "1.0", "modality": "graph", "data_id": "energy_distribution_tree", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000241::difficulty=3-hop", "question": "Which node has the highest betweenness centrality?", "answer": "32", "modality": "graph", "data_id": "energy_distribution_tree", "task": "centrality", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000242::difficulty=3-hop", "question": "What is the diameter of the graph (or largest component)?", "answer": "13", "modality": "graph", "data_id": "energy_distribution_tree", "task": "diameter", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000243::difficulty=3-hop", "question": "What is the average degree among node 0, node 22, and node 44?", "answer": "2.333", "modality": "graph", "data_id": "energy_distribution_tree", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000244::difficulty=3-hop", "question": "How many nodes are in the largest connected component?", "answer": "45", "modality": "graph", "data_id": "energy_distribution_tree", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000245::difficulty=3-hop", "question": "What is the average degree of the graph?", "answer": "1.956", "modality": "graph", "data_id": "energy_distribution_tree", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000246::difficulty=counterfactual", "question": "If one bridge edge were removed, would the number of connected components likely increase?", "answer": "no", "modality": "graph", "data_id": "energy_distribution_tree", "task": "community", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000247::difficulty=counterfactual", "question": "If an edge were added between node 0 and node 44, would they be directly connected?", "answer": "yes", "modality": "graph", "data_id": "energy_distribution_tree", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000248::difficulty=counterfactual", "question": "If the edge between node 0 and node 44 were removed, would the number of connected components increase?", "answer": "no", "modality": "graph", "data_id": "energy_distribution_tree", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
{"question_id": "graph_000249::difficulty=counterfactual", "question": "If one random edge were removed, would the total edge count decrease by one?", "answer": "yes", "modality": "graph", "data_id": "energy_distribution_tree", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "utilities", "topology_type": "tree", "num_nodes": 45, "num_edges": 44}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}], "edges": [{"source": 0, "target": 27}, {"source": 0, "target": 1}, {"source": 1, "target": 24}, {"source": 1, "target": 42}, {"source": 2, "target": 41}, {"source": 3, "target": 5}, {"source": 3, "target": 19}, {"source": 4, "target": 6}, {"source": 4, "target": 11}, {"source": 4, "target": 22}, {"source": 4, "target": 18}, {"source": 7, "target": 18}, {"source": 8, "target": 35}, {"source": 9, "target": 28}, {"source": 9, "target": 40}, {"source": 10, "target": 40}, {"source": 10, "target": 12}, {"source": 12, "target": 42}, {"source": 12, "target": 37}, {"source": 13, "target": 43}, {"source": 14, "target": 43}, {"source": 15, "target": 36}, {"source": 15, "target": 32}, {"source": 16, "target": 18}, {"source": 16, "target": 21}, {"source": 16, "target": 44}, {"source": 17, "target": 19}, {"source": 17, "target": 36}, {"source": 18, "target": 35}, {"source": 20, "target": 39}, {"source": 20, "target": 43}, {"source": 20, "target": 21}, {"source": 23, "target": 25}, {"source": 23, "target": 29}, {"source": 26, "target": 39}, {"source": 29, "target": 40}, {"source": 30, "target": 44}, {"source": 31, "target": 44}, {"source": 32, "target": 33}, {"source": 32, "target": 37}, {"source": 32, "target": 44}, {"source": 34, "target": 41}, {"source": 37, "target": 38}, {"source": 37, "target": 41}]}, "source": "synthetic"}
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{"question_id": "graph_000266::difficulty=3-hop", "question": "Which node has the highest betweenness centrality?", "answer": "7", "modality": "graph", "data_id": "file_system_hierarchy", "task": "centrality", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "storage", "topology_type": "tree", "num_nodes": 96, "num_edges": 95}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}, {"id": 71}, {"id": 72}, {"id": 73}, {"id": 74}, {"id": 75}, {"id": 76}, {"id": 77}, {"id": 78}, {"id": 79}, {"id": 80}, {"id": 81}, {"id": 82}, {"id": 83}, {"id": 84}, {"id": 85}, {"id": 86}, {"id": 87}, {"id": 88}, {"id": 89}, {"id": 90}, {"id": 91}, {"id": 92}, {"id": 93}, {"id": 94}, {"id": 95}], "edges": [{"source": 0, "target": 84}, {"source": 0, "target": 61}, {"source": 1, "target": 75}, {"source": 1, "target": 26}, {"source": 1, "target": 7}, {"source": 2, "target": 6}, {"source": 2, "target": 10}, {"source": 3, "target": 58}, {"source": 4, "target": 48}, {"source": 5, "target": 63}, {"source": 5, "target": 60}, {"source": 7, "target": 73}, {"source": 7, "target": 61}, {"source": 7, "target": 70}, {"source": 8, "target": 71}, {"source": 9, "target": 10}, {"source": 9, "target": 84}, {"source": 10, "target": 12}, {"source": 10, "target": 28}, {"source": 10, "target": 92}, {"source": 11, "target": 13}, {"source": 11, "target": 35}, {"source": 11, "target": 70}, {"source": 11, "target": 36}, {"source": 14, "target": 43}, {"source": 15, "target": 27}, {"source": 16, "target": 33}, {"source": 16, "target": 27}, {"source": 17, "target": 30}, {"source": 17, "target": 66}, {"source": 17, "target": 79}, {"source": 18, "target": 25}, {"source": 19, "target": 54}, {"source": 19, "target": 64}, {"source": 19, "target": 48}, {"source": 20, "target": 74}, {"source": 20, "target": 36}, {"source": 21, "target": 40}, {"source": 22, "target": 42}, {"source": 23, "target": 31}, {"source": 23, "target": 36}, {"source": 23, "target": 85}, {"source": 24, "target": 43}, {"source": 25, "target": 49}, {"source": 26, "target": 91}, {"source": 27, "target": 44}, {"source": 29, "target": 67}, {"source": 29, "target": 49}, {"source": 29, "target": 87}, {"source": 32, "target": 37}, {"source": 32, "target": 58}, {"source": 34, "target": 57}, {"source": 35, "target": 52}, {"source": 36, "target": 71}, {"source": 36, "target": 65}, {"source": 38, "target": 69}, {"source": 38, "target": 43}, {"source": 39, "target": 77}, {"source": 39, "target": 79}, {"source": 40, "target": 60}, {"source": 41, "target": 47}, {"source": 42, "target": 69}, {"source": 43, "target": 76}, {"source": 43, "target": 75}, {"source": 44, "target": 90}, {"source": 45, "target": 48}, {"source": 46, "target": 48}, {"source": 46, "target": 73}, {"source": 47, "target": 59}, {"source": 49, "target": 68}, {"source": 49, "target": 59}, {"source": 49, "target": 85}, {"source": 50, "target": 63}, {"source": 51, "target": 68}, {"source": 53, "target": 83}, {"source": 53, "target": 92}, {"source": 55, "target": 83}, {"source": 56, "target": 95}, {"source": 57, "target": 94}, {"source": 58, "target": 60}, {"source": 59, "target": 88}, {"source": 60, "target": 75}, {"source": 62, "target": 82}, {"source": 65, "target": 80}, {"source": 67, "target": 86}, {"source": 68, "target": 82}, {"source": 70, "target": 79}, {"source": 72, "target": 73}, {"source": 74, "target": 89}, {"source": 77, "target": 94}, {"source": 78, "target": 87}, {"source": 78, "target": 95}, {"source": 81, "target": 87}, {"source": 84, "target": 90}, {"source": 90, "target": 93}]}, "source": "synthetic"}
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{"question_id": "graph_000268::difficulty=3-hop", "question": "What is the average degree among node 0, node 48, and node 95?", "answer": "2.667", "modality": "graph", "data_id": "file_system_hierarchy", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "storage", "topology_type": "tree", "num_nodes": 96, "num_edges": 95}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}, {"id": 71}, {"id": 72}, {"id": 73}, {"id": 74}, {"id": 75}, {"id": 76}, {"id": 77}, {"id": 78}, {"id": 79}, {"id": 80}, {"id": 81}, {"id": 82}, {"id": 83}, {"id": 84}, {"id": 85}, {"id": 86}, {"id": 87}, {"id": 88}, {"id": 89}, {"id": 90}, {"id": 91}, {"id": 92}, {"id": 93}, {"id": 94}, {"id": 95}], "edges": [{"source": 0, "target": 84}, {"source": 0, "target": 61}, {"source": 1, "target": 75}, {"source": 1, "target": 26}, {"source": 1, "target": 7}, {"source": 2, "target": 6}, {"source": 2, "target": 10}, {"source": 3, "target": 58}, {"source": 4, "target": 48}, {"source": 5, "target": 63}, {"source": 5, "target": 60}, {"source": 7, "target": 73}, {"source": 7, "target": 61}, {"source": 7, "target": 70}, {"source": 8, "target": 71}, {"source": 9, "target": 10}, {"source": 9, "target": 84}, {"source": 10, "target": 12}, {"source": 10, "target": 28}, {"source": 10, "target": 92}, {"source": 11, "target": 13}, {"source": 11, "target": 35}, {"source": 11, "target": 70}, {"source": 11, "target": 36}, {"source": 14, "target": 43}, {"source": 15, "target": 27}, {"source": 16, "target": 33}, {"source": 16, "target": 27}, {"source": 17, "target": 30}, {"source": 17, "target": 66}, {"source": 17, "target": 79}, {"source": 18, "target": 25}, {"source": 19, "target": 54}, {"source": 19, "target": 64}, {"source": 19, "target": 48}, {"source": 20, "target": 74}, {"source": 20, "target": 36}, {"source": 21, "target": 40}, {"source": 22, "target": 42}, {"source": 23, "target": 31}, {"source": 23, "target": 36}, {"source": 23, "target": 85}, {"source": 24, "target": 43}, {"source": 25, "target": 49}, {"source": 26, "target": 91}, {"source": 27, "target": 44}, {"source": 29, "target": 67}, {"source": 29, "target": 49}, {"source": 29, "target": 87}, {"source": 32, "target": 37}, {"source": 32, "target": 58}, {"source": 34, "target": 57}, {"source": 35, "target": 52}, {"source": 36, "target": 71}, {"source": 36, "target": 65}, {"source": 38, "target": 69}, {"source": 38, "target": 43}, {"source": 39, "target": 77}, {"source": 39, "target": 79}, {"source": 40, "target": 60}, {"source": 41, "target": 47}, {"source": 42, "target": 69}, {"source": 43, "target": 76}, {"source": 43, "target": 75}, {"source": 44, "target": 90}, {"source": 45, "target": 48}, {"source": 46, "target": 48}, {"source": 46, "target": 73}, {"source": 47, "target": 59}, {"source": 49, "target": 68}, {"source": 49, "target": 59}, {"source": 49, "target": 85}, {"source": 50, "target": 63}, {"source": 51, "target": 68}, {"source": 53, "target": 83}, {"source": 53, "target": 92}, {"source": 55, "target": 83}, {"source": 56, "target": 95}, {"source": 57, "target": 94}, {"source": 58, "target": 60}, {"source": 59, "target": 88}, {"source": 60, "target": 75}, {"source": 62, "target": 82}, {"source": 65, "target": 80}, {"source": 67, "target": 86}, {"source": 68, "target": 82}, {"source": 70, "target": 79}, {"source": 72, "target": 73}, {"source": 74, "target": 89}, {"source": 77, "target": 94}, {"source": 78, "target": 87}, {"source": 78, "target": 95}, {"source": 81, "target": 87}, {"source": 84, "target": 90}, {"source": 90, "target": 93}]}, "source": "synthetic"}
{"question_id": "graph_000269::difficulty=3-hop", "question": "How many nodes are in the largest connected component?", "answer": "96", "modality": "graph", "data_id": "file_system_hierarchy", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "storage", "topology_type": "tree", "num_nodes": 96, "num_edges": 95}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}, {"id": 71}, {"id": 72}, {"id": 73}, {"id": 74}, {"id": 75}, {"id": 76}, {"id": 77}, {"id": 78}, {"id": 79}, {"id": 80}, {"id": 81}, {"id": 82}, {"id": 83}, {"id": 84}, {"id": 85}, {"id": 86}, {"id": 87}, {"id": 88}, {"id": 89}, {"id": 90}, {"id": 91}, {"id": 92}, {"id": 93}, {"id": 94}, {"id": 95}], "edges": [{"source": 0, "target": 84}, {"source": 0, "target": 61}, {"source": 1, "target": 75}, {"source": 1, "target": 26}, {"source": 1, "target": 7}, {"source": 2, "target": 6}, {"source": 2, "target": 10}, {"source": 3, "target": 58}, {"source": 4, "target": 48}, {"source": 5, "target": 63}, {"source": 5, "target": 60}, {"source": 7, "target": 73}, {"source": 7, "target": 61}, {"source": 7, "target": 70}, {"source": 8, "target": 71}, {"source": 9, "target": 10}, {"source": 9, "target": 84}, {"source": 10, "target": 12}, {"source": 10, "target": 28}, {"source": 10, "target": 92}, {"source": 11, "target": 13}, {"source": 11, "target": 35}, {"source": 11, "target": 70}, {"source": 11, "target": 36}, {"source": 14, "target": 43}, {"source": 15, "target": 27}, {"source": 16, "target": 33}, {"source": 16, "target": 27}, {"source": 17, "target": 30}, {"source": 17, "target": 66}, {"source": 17, "target": 79}, {"source": 18, "target": 25}, {"source": 19, "target": 54}, {"source": 19, "target": 64}, {"source": 19, "target": 48}, {"source": 20, "target": 74}, {"source": 20, "target": 36}, {"source": 21, "target": 40}, {"source": 22, "target": 42}, {"source": 23, "target": 31}, {"source": 23, "target": 36}, {"source": 23, "target": 85}, {"source": 24, "target": 43}, {"source": 25, "target": 49}, {"source": 26, "target": 91}, {"source": 27, "target": 44}, {"source": 29, "target": 67}, {"source": 29, "target": 49}, {"source": 29, "target": 87}, {"source": 32, "target": 37}, {"source": 32, "target": 58}, {"source": 34, "target": 57}, {"source": 35, "target": 52}, {"source": 36, "target": 71}, {"source": 36, "target": 65}, {"source": 38, "target": 69}, {"source": 38, "target": 43}, {"source": 39, "target": 77}, {"source": 39, "target": 79}, {"source": 40, "target": 60}, {"source": 41, "target": 47}, {"source": 42, "target": 69}, {"source": 43, "target": 76}, {"source": 43, "target": 75}, {"source": 44, "target": 90}, {"source": 45, "target": 48}, {"source": 46, "target": 48}, {"source": 46, "target": 73}, {"source": 47, "target": 59}, {"source": 49, "target": 68}, {"source": 49, "target": 59}, {"source": 49, "target": 85}, {"source": 50, "target": 63}, {"source": 51, "target": 68}, {"source": 53, "target": 83}, {"source": 53, "target": 92}, {"source": 55, "target": 83}, {"source": 56, "target": 95}, {"source": 57, "target": 94}, {"source": 58, "target": 60}, {"source": 59, "target": 88}, {"source": 60, "target": 75}, {"source": 62, "target": 82}, {"source": 65, "target": 80}, {"source": 67, "target": 86}, {"source": 68, "target": 82}, {"source": 70, "target": 79}, {"source": 72, "target": 73}, {"source": 74, "target": 89}, {"source": 77, "target": 94}, {"source": 78, "target": 87}, {"source": 78, "target": 95}, {"source": 81, "target": 87}, {"source": 84, "target": 90}, {"source": 90, "target": 93}]}, "source": "synthetic"}
{"question_id": "graph_000270::difficulty=3-hop", "question": "What is the average degree of the graph?", "answer": "1.979", "modality": "graph", "data_id": "file_system_hierarchy", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "storage", "topology_type": "tree", "num_nodes": 96, "num_edges": 95}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}, {"id": 71}, {"id": 72}, {"id": 73}, {"id": 74}, {"id": 75}, {"id": 76}, {"id": 77}, {"id": 78}, {"id": 79}, {"id": 80}, {"id": 81}, {"id": 82}, {"id": 83}, {"id": 84}, {"id": 85}, {"id": 86}, {"id": 87}, {"id": 88}, {"id": 89}, {"id": 90}, {"id": 91}, {"id": 92}, {"id": 93}, {"id": 94}, {"id": 95}], "edges": [{"source": 0, "target": 84}, {"source": 0, "target": 61}, {"source": 1, "target": 75}, {"source": 1, "target": 26}, {"source": 1, "target": 7}, {"source": 2, "target": 6}, {"source": 2, "target": 10}, {"source": 3, "target": 58}, {"source": 4, "target": 48}, {"source": 5, "target": 63}, {"source": 5, "target": 60}, {"source": 7, "target": 73}, {"source": 7, "target": 61}, {"source": 7, "target": 70}, {"source": 8, "target": 71}, {"source": 9, "target": 10}, {"source": 9, "target": 84}, {"source": 10, "target": 12}, {"source": 10, "target": 28}, {"source": 10, "target": 92}, {"source": 11, "target": 13}, {"source": 11, "target": 35}, {"source": 11, "target": 70}, {"source": 11, "target": 36}, {"source": 14, "target": 43}, {"source": 15, "target": 27}, {"source": 16, "target": 33}, {"source": 16, "target": 27}, {"source": 17, "target": 30}, {"source": 17, "target": 66}, {"source": 17, "target": 79}, {"source": 18, "target": 25}, {"source": 19, "target": 54}, {"source": 19, "target": 64}, {"source": 19, "target": 48}, {"source": 20, "target": 74}, {"source": 20, "target": 36}, {"source": 21, "target": 40}, {"source": 22, "target": 42}, {"source": 23, "target": 31}, {"source": 23, "target": 36}, {"source": 23, "target": 85}, {"source": 24, "target": 43}, {"source": 25, "target": 49}, {"source": 26, "target": 91}, {"source": 27, "target": 44}, {"source": 29, "target": 67}, {"source": 29, "target": 49}, {"source": 29, "target": 87}, {"source": 32, "target": 37}, {"source": 32, "target": 58}, {"source": 34, "target": 57}, {"source": 35, "target": 52}, {"source": 36, "target": 71}, {"source": 36, "target": 65}, {"source": 38, "target": 69}, {"source": 38, "target": 43}, {"source": 39, "target": 77}, {"source": 39, "target": 79}, {"source": 40, "target": 60}, {"source": 41, "target": 47}, {"source": 42, "target": 69}, {"source": 43, "target": 76}, {"source": 43, "target": 75}, {"source": 44, "target": 90}, {"source": 45, "target": 48}, {"source": 46, "target": 48}, {"source": 46, "target": 73}, {"source": 47, "target": 59}, {"source": 49, "target": 68}, {"source": 49, "target": 59}, {"source": 49, "target": 85}, {"source": 50, "target": 63}, {"source": 51, "target": 68}, {"source": 53, "target": 83}, {"source": 53, "target": 92}, {"source": 55, "target": 83}, {"source": 56, "target": 95}, {"source": 57, "target": 94}, {"source": 58, "target": 60}, {"source": 59, "target": 88}, {"source": 60, "target": 75}, {"source": 62, "target": 82}, {"source": 65, "target": 80}, {"source": 67, "target": 86}, {"source": 68, "target": 82}, {"source": 70, "target": 79}, {"source": 72, "target": 73}, {"source": 74, "target": 89}, {"source": 77, "target": 94}, {"source": 78, "target": 87}, {"source": 78, "target": 95}, {"source": 81, "target": 87}, {"source": 84, "target": 90}, {"source": 90, "target": 93}]}, "source": "synthetic"}
{"question_id": "graph_000271::difficulty=counterfactual", "question": "If one bridge edge were removed, would the number of connected components likely increase?", "answer": "no", "modality": "graph", "data_id": "file_system_hierarchy", "task": "community", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "storage", "topology_type": "tree", "num_nodes": 96, "num_edges": 95}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}, {"id": 71}, {"id": 72}, {"id": 73}, {"id": 74}, {"id": 75}, {"id": 76}, {"id": 77}, {"id": 78}, {"id": 79}, {"id": 80}, {"id": 81}, {"id": 82}, {"id": 83}, {"id": 84}, {"id": 85}, {"id": 86}, {"id": 87}, {"id": 88}, {"id": 89}, {"id": 90}, {"id": 91}, {"id": 92}, {"id": 93}, {"id": 94}, {"id": 95}], "edges": [{"source": 0, "target": 84}, {"source": 0, "target": 61}, {"source": 1, "target": 75}, {"source": 1, "target": 26}, {"source": 1, "target": 7}, {"source": 2, "target": 6}, {"source": 2, "target": 10}, {"source": 3, "target": 58}, {"source": 4, "target": 48}, {"source": 5, "target": 63}, {"source": 5, "target": 60}, {"source": 7, "target": 73}, {"source": 7, "target": 61}, {"source": 7, "target": 70}, {"source": 8, "target": 71}, {"source": 9, "target": 10}, {"source": 9, "target": 84}, {"source": 10, "target": 12}, {"source": 10, "target": 28}, {"source": 10, "target": 92}, {"source": 11, "target": 13}, {"source": 11, "target": 35}, {"source": 11, "target": 70}, {"source": 11, "target": 36}, {"source": 14, "target": 43}, {"source": 15, "target": 27}, {"source": 16, "target": 33}, {"source": 16, "target": 27}, {"source": 17, "target": 30}, {"source": 17, "target": 66}, {"source": 17, "target": 79}, {"source": 18, "target": 25}, {"source": 19, "target": 54}, {"source": 19, "target": 64}, {"source": 19, "target": 48}, {"source": 20, "target": 74}, {"source": 20, "target": 36}, {"source": 21, "target": 40}, {"source": 22, "target": 42}, {"source": 23, "target": 31}, {"source": 23, "target": 36}, {"source": 23, "target": 85}, {"source": 24, "target": 43}, {"source": 25, "target": 49}, {"source": 26, "target": 91}, {"source": 27, "target": 44}, {"source": 29, "target": 67}, {"source": 29, "target": 49}, {"source": 29, "target": 87}, {"source": 32, "target": 37}, {"source": 32, "target": 58}, {"source": 34, "target": 57}, {"source": 35, "target": 52}, {"source": 36, "target": 71}, {"source": 36, "target": 65}, {"source": 38, "target": 69}, {"source": 38, "target": 43}, {"source": 39, "target": 77}, {"source": 39, "target": 79}, {"source": 40, "target": 60}, {"source": 41, "target": 47}, {"source": 42, "target": 69}, {"source": 43, "target": 76}, {"source": 43, "target": 75}, {"source": 44, "target": 90}, {"source": 45, "target": 48}, {"source": 46, "target": 48}, {"source": 46, "target": 73}, {"source": 47, "target": 59}, {"source": 49, "target": 68}, {"source": 49, "target": 59}, {"source": 49, "target": 85}, {"source": 50, "target": 63}, {"source": 51, "target": 68}, {"source": 53, "target": 83}, {"source": 53, "target": 92}, {"source": 55, "target": 83}, {"source": 56, "target": 95}, {"source": 57, "target": 94}, {"source": 58, "target": 60}, {"source": 59, "target": 88}, {"source": 60, "target": 75}, {"source": 62, "target": 82}, {"source": 65, "target": 80}, {"source": 67, "target": 86}, {"source": 68, "target": 82}, {"source": 70, "target": 79}, {"source": 72, "target": 73}, {"source": 74, "target": 89}, {"source": 77, "target": 94}, {"source": 78, "target": 87}, {"source": 78, "target": 95}, {"source": 81, "target": 87}, {"source": 84, "target": 90}, {"source": 90, "target": 93}]}, "source": "synthetic"}
{"question_id": "graph_000272::difficulty=counterfactual", "question": "If an edge were added between node 0 and node 95, would they be directly connected?", "answer": "yes", "modality": "graph", "data_id": "file_system_hierarchy", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "storage", "topology_type": "tree", "num_nodes": 96, "num_edges": 95}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}, {"id": 71}, {"id": 72}, {"id": 73}, {"id": 74}, {"id": 75}, {"id": 76}, {"id": 77}, {"id": 78}, {"id": 79}, {"id": 80}, {"id": 81}, {"id": 82}, {"id": 83}, {"id": 84}, {"id": 85}, {"id": 86}, {"id": 87}, {"id": 88}, {"id": 89}, {"id": 90}, {"id": 91}, {"id": 92}, {"id": 93}, {"id": 94}, {"id": 95}], "edges": [{"source": 0, "target": 84}, {"source": 0, "target": 61}, {"source": 1, "target": 75}, {"source": 1, "target": 26}, {"source": 1, "target": 7}, {"source": 2, "target": 6}, {"source": 2, "target": 10}, {"source": 3, "target": 58}, {"source": 4, "target": 48}, {"source": 5, "target": 63}, {"source": 5, "target": 60}, {"source": 7, "target": 73}, {"source": 7, "target": 61}, {"source": 7, "target": 70}, {"source": 8, "target": 71}, {"source": 9, "target": 10}, {"source": 9, "target": 84}, {"source": 10, "target": 12}, {"source": 10, "target": 28}, {"source": 10, "target": 92}, {"source": 11, "target": 13}, {"source": 11, "target": 35}, {"source": 11, "target": 70}, {"source": 11, "target": 36}, {"source": 14, "target": 43}, {"source": 15, "target": 27}, {"source": 16, "target": 33}, {"source": 16, "target": 27}, {"source": 17, "target": 30}, {"source": 17, "target": 66}, {"source": 17, "target": 79}, {"source": 18, "target": 25}, {"source": 19, "target": 54}, {"source": 19, "target": 64}, {"source": 19, "target": 48}, {"source": 20, "target": 74}, {"source": 20, "target": 36}, {"source": 21, "target": 40}, {"source": 22, "target": 42}, {"source": 23, "target": 31}, {"source": 23, "target": 36}, {"source": 23, "target": 85}, {"source": 24, "target": 43}, {"source": 25, "target": 49}, {"source": 26, "target": 91}, {"source": 27, "target": 44}, {"source": 29, "target": 67}, {"source": 29, "target": 49}, {"source": 29, "target": 87}, {"source": 32, "target": 37}, {"source": 32, "target": 58}, {"source": 34, "target": 57}, {"source": 35, "target": 52}, {"source": 36, "target": 71}, {"source": 36, "target": 65}, {"source": 38, "target": 69}, {"source": 38, "target": 43}, {"source": 39, "target": 77}, {"source": 39, "target": 79}, {"source": 40, "target": 60}, {"source": 41, "target": 47}, {"source": 42, "target": 69}, {"source": 43, "target": 76}, {"source": 43, "target": 75}, {"source": 44, "target": 90}, {"source": 45, "target": 48}, {"source": 46, "target": 48}, {"source": 46, "target": 73}, {"source": 47, "target": 59}, {"source": 49, "target": 68}, {"source": 49, "target": 59}, {"source": 49, "target": 85}, {"source": 50, "target": 63}, {"source": 51, "target": 68}, {"source": 53, "target": 83}, {"source": 53, "target": 92}, {"source": 55, "target": 83}, {"source": 56, "target": 95}, {"source": 57, "target": 94}, {"source": 58, "target": 60}, {"source": 59, "target": 88}, {"source": 60, "target": 75}, {"source": 62, "target": 82}, {"source": 65, "target": 80}, {"source": 67, "target": 86}, {"source": 68, "target": 82}, {"source": 70, "target": 79}, {"source": 72, "target": 73}, {"source": 74, "target": 89}, {"source": 77, "target": 94}, {"source": 78, "target": 87}, {"source": 78, "target": 95}, {"source": 81, "target": 87}, {"source": 84, "target": 90}, {"source": 90, "target": 93}]}, "source": "synthetic"}
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{"question_id": "graph_000293::difficulty=3-hop", "question": "What is the average degree among node 0, node 32, and node 63?", "answer": "2.333", "modality": "graph", "data_id": "city_blocks_grid", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "urban", "topology_type": "grid", "num_nodes": 64, "num_edges": 112}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}], "edges": [{"source": 0, "target": 8}, {"source": 0, "target": 1}, {"source": 1, "target": 9}, {"source": 1, "target": 2}, {"source": 2, "target": 10}, {"source": 2, "target": 3}, {"source": 3, "target": 11}, {"source": 3, "target": 4}, {"source": 4, "target": 12}, {"source": 4, "target": 5}, {"source": 5, "target": 13}, {"source": 5, "target": 6}, {"source": 6, "target": 14}, {"source": 6, "target": 7}, {"source": 7, "target": 15}, {"source": 8, "target": 16}, {"source": 8, "target": 9}, {"source": 9, "target": 17}, {"source": 9, "target": 10}, {"source": 10, "target": 18}, {"source": 10, "target": 11}, {"source": 11, "target": 19}, {"source": 11, "target": 12}, {"source": 12, "target": 20}, {"source": 12, "target": 13}, {"source": 13, "target": 21}, {"source": 13, "target": 14}, {"source": 14, "target": 22}, {"source": 14, "target": 15}, {"source": 15, "target": 23}, {"source": 16, "target": 24}, {"source": 16, "target": 17}, {"source": 17, "target": 25}, {"source": 17, "target": 18}, {"source": 18, "target": 26}, {"source": 18, "target": 19}, {"source": 19, "target": 27}, {"source": 19, "target": 20}, {"source": 20, "target": 28}, {"source": 20, "target": 21}, {"source": 21, "target": 29}, {"source": 21, "target": 22}, {"source": 22, "target": 30}, {"source": 22, "target": 23}, {"source": 23, "target": 31}, {"source": 24, "target": 32}, {"source": 24, "target": 25}, {"source": 25, "target": 33}, {"source": 25, "target": 26}, {"source": 26, "target": 34}, {"source": 26, "target": 27}, {"source": 27, "target": 35}, {"source": 27, "target": 28}, {"source": 28, "target": 36}, {"source": 28, "target": 29}, {"source": 29, "target": 37}, {"source": 29, "target": 30}, {"source": 30, "target": 38}, {"source": 30, "target": 31}, {"source": 31, "target": 39}, {"source": 32, "target": 40}, {"source": 32, "target": 33}, {"source": 33, "target": 41}, {"source": 33, "target": 34}, {"source": 34, "target": 42}, {"source": 34, "target": 35}, {"source": 35, "target": 43}, {"source": 35, "target": 36}, {"source": 36, "target": 44}, {"source": 36, "target": 37}, {"source": 37, "target": 45}, {"source": 37, "target": 38}, {"source": 38, "target": 46}, {"source": 38, "target": 39}, {"source": 39, "target": 47}, {"source": 40, "target": 48}, {"source": 40, "target": 41}, {"source": 41, "target": 49}, {"source": 41, "target": 42}, {"source": 42, "target": 50}, {"source": 42, "target": 43}, {"source": 43, "target": 51}, {"source": 43, "target": 44}, {"source": 44, "target": 52}, {"source": 44, "target": 45}, {"source": 45, "target": 53}, {"source": 45, "target": 46}, {"source": 46, "target": 54}, {"source": 46, "target": 47}, {"source": 47, "target": 55}, {"source": 48, "target": 56}, {"source": 48, "target": 49}, {"source": 49, "target": 57}, {"source": 49, "target": 50}, {"source": 50, "target": 58}, {"source": 50, "target": 51}, {"source": 51, "target": 59}, {"source": 51, "target": 52}, {"source": 52, "target": 60}, {"source": 52, "target": 53}, {"source": 53, "target": 61}, {"source": 53, "target": 54}, {"source": 54, "target": 62}, {"source": 54, "target": 55}, {"source": 55, "target": 63}, {"source": 56, "target": 57}, {"source": 57, "target": 58}, {"source": 58, "target": 59}, {"source": 59, "target": 60}, {"source": 60, "target": 61}, {"source": 61, "target": 62}, {"source": 62, "target": 63}]}, "source": "synthetic"}
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{"question_id": "graph_000295::difficulty=3-hop", "question": "What is the average degree of the graph?", "answer": "3.500", "modality": "graph", "data_id": "city_blocks_grid", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "urban", "topology_type": "grid", "num_nodes": 64, "num_edges": 112}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}], "edges": [{"source": 0, "target": 8}, {"source": 0, "target": 1}, {"source": 1, "target": 9}, {"source": 1, "target": 2}, {"source": 2, "target": 10}, {"source": 2, "target": 3}, {"source": 3, "target": 11}, {"source": 3, "target": 4}, {"source": 4, "target": 12}, {"source": 4, "target": 5}, {"source": 5, "target": 13}, {"source": 5, "target": 6}, {"source": 6, "target": 14}, {"source": 6, "target": 7}, {"source": 7, "target": 15}, {"source": 8, "target": 16}, {"source": 8, "target": 9}, {"source": 9, "target": 17}, {"source": 9, "target": 10}, {"source": 10, "target": 18}, {"source": 10, "target": 11}, {"source": 11, "target": 19}, {"source": 11, "target": 12}, {"source": 12, "target": 20}, {"source": 12, "target": 13}, {"source": 13, "target": 21}, {"source": 13, "target": 14}, {"source": 14, "target": 22}, {"source": 14, "target": 15}, {"source": 15, "target": 23}, {"source": 16, "target": 24}, {"source": 16, "target": 17}, {"source": 17, "target": 25}, {"source": 17, "target": 18}, {"source": 18, "target": 26}, {"source": 18, "target": 19}, {"source": 19, "target": 27}, {"source": 19, "target": 20}, {"source": 20, "target": 28}, {"source": 20, "target": 21}, {"source": 21, "target": 29}, {"source": 21, "target": 22}, {"source": 22, "target": 30}, {"source": 22, "target": 23}, {"source": 23, "target": 31}, {"source": 24, "target": 32}, {"source": 24, "target": 25}, {"source": 25, "target": 33}, {"source": 25, "target": 26}, {"source": 26, "target": 34}, {"source": 26, "target": 27}, {"source": 27, "target": 35}, {"source": 27, "target": 28}, {"source": 28, "target": 36}, {"source": 28, "target": 29}, {"source": 29, "target": 37}, {"source": 29, "target": 30}, {"source": 30, "target": 38}, {"source": 30, "target": 31}, {"source": 31, "target": 39}, {"source": 32, "target": 40}, {"source": 32, "target": 33}, {"source": 33, "target": 41}, {"source": 33, "target": 34}, {"source": 34, "target": 42}, {"source": 34, "target": 35}, {"source": 35, "target": 43}, {"source": 35, "target": 36}, {"source": 36, "target": 44}, {"source": 36, "target": 37}, {"source": 37, "target": 45}, {"source": 37, "target": 38}, {"source": 38, "target": 46}, {"source": 38, "target": 39}, {"source": 39, "target": 47}, {"source": 40, "target": 48}, {"source": 40, "target": 41}, {"source": 41, "target": 49}, {"source": 41, "target": 42}, {"source": 42, "target": 50}, {"source": 42, "target": 43}, {"source": 43, "target": 51}, {"source": 43, "target": 44}, {"source": 44, "target": 52}, {"source": 44, "target": 45}, {"source": 45, "target": 53}, {"source": 45, "target": 46}, {"source": 46, "target": 54}, {"source": 46, "target": 47}, {"source": 47, "target": 55}, {"source": 48, "target": 56}, {"source": 48, "target": 49}, {"source": 49, "target": 57}, {"source": 49, "target": 50}, {"source": 50, "target": 58}, {"source": 50, "target": 51}, {"source": 51, "target": 59}, {"source": 51, "target": 52}, {"source": 52, "target": 60}, {"source": 52, "target": 53}, {"source": 53, "target": 61}, {"source": 53, "target": 54}, {"source": 54, "target": 62}, {"source": 54, "target": 55}, {"source": 55, "target": 63}, {"source": 56, "target": 57}, {"source": 57, "target": 58}, {"source": 58, "target": 59}, {"source": 59, "target": 60}, {"source": 60, "target": 61}, {"source": 61, "target": 62}, {"source": 62, "target": 63}]}, "source": "synthetic"}
{"question_id": "graph_000296::difficulty=counterfactual", "question": "If one bridge edge were removed, would the number of connected components likely increase?", "answer": "yes", "modality": "graph", "data_id": "city_blocks_grid", "task": "community", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "urban", "topology_type": "grid", "num_nodes": 64, "num_edges": 112}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}], "edges": [{"source": 0, "target": 8}, {"source": 0, "target": 1}, {"source": 1, "target": 9}, {"source": 1, "target": 2}, {"source": 2, "target": 10}, {"source": 2, "target": 3}, {"source": 3, "target": 11}, {"source": 3, "target": 4}, {"source": 4, "target": 12}, {"source": 4, "target": 5}, {"source": 5, "target": 13}, {"source": 5, "target": 6}, {"source": 6, "target": 14}, {"source": 6, "target": 7}, {"source": 7, "target": 15}, {"source": 8, "target": 16}, {"source": 8, "target": 9}, {"source": 9, "target": 17}, {"source": 9, "target": 10}, {"source": 10, "target": 18}, {"source": 10, "target": 11}, {"source": 11, "target": 19}, {"source": 11, "target": 12}, {"source": 12, "target": 20}, {"source": 12, "target": 13}, {"source": 13, "target": 21}, {"source": 13, "target": 14}, {"source": 14, "target": 22}, {"source": 14, "target": 15}, {"source": 15, "target": 23}, {"source": 16, "target": 24}, {"source": 16, "target": 17}, {"source": 17, "target": 25}, {"source": 17, "target": 18}, {"source": 18, "target": 26}, {"source": 18, "target": 19}, {"source": 19, "target": 27}, {"source": 19, "target": 20}, {"source": 20, "target": 28}, {"source": 20, "target": 21}, {"source": 21, "target": 29}, {"source": 21, "target": 22}, {"source": 22, "target": 30}, {"source": 22, "target": 23}, {"source": 23, "target": 31}, {"source": 24, "target": 32}, {"source": 24, "target": 25}, {"source": 25, "target": 33}, {"source": 25, "target": 26}, {"source": 26, "target": 34}, {"source": 26, "target": 27}, {"source": 27, "target": 35}, {"source": 27, "target": 28}, {"source": 28, "target": 36}, {"source": 28, "target": 29}, {"source": 29, "target": 37}, {"source": 29, "target": 30}, {"source": 30, "target": 38}, {"source": 30, "target": 31}, {"source": 31, "target": 39}, {"source": 32, "target": 40}, {"source": 32, "target": 33}, {"source": 33, "target": 41}, {"source": 33, "target": 34}, {"source": 34, "target": 42}, {"source": 34, "target": 35}, {"source": 35, "target": 43}, {"source": 35, "target": 36}, {"source": 36, "target": 44}, {"source": 36, "target": 37}, {"source": 37, "target": 45}, {"source": 37, "target": 38}, {"source": 38, "target": 46}, {"source": 38, "target": 39}, {"source": 39, "target": 47}, {"source": 40, "target": 48}, {"source": 40, "target": 41}, {"source": 41, "target": 49}, {"source": 41, "target": 42}, {"source": 42, "target": 50}, {"source": 42, "target": 43}, {"source": 43, "target": 51}, {"source": 43, "target": 44}, {"source": 44, "target": 52}, {"source": 44, "target": 45}, {"source": 45, "target": 53}, {"source": 45, "target": 46}, {"source": 46, "target": 54}, {"source": 46, "target": 47}, {"source": 47, "target": 55}, {"source": 48, "target": 56}, {"source": 48, "target": 49}, {"source": 49, "target": 57}, {"source": 49, "target": 50}, {"source": 50, "target": 58}, {"source": 50, "target": 51}, {"source": 51, "target": 59}, {"source": 51, "target": 52}, {"source": 52, "target": 60}, {"source": 52, "target": 53}, {"source": 53, "target": 61}, {"source": 53, "target": 54}, {"source": 54, "target": 62}, {"source": 54, "target": 55}, {"source": 55, "target": 63}, {"source": 56, "target": 57}, {"source": 57, "target": 58}, {"source": 58, "target": 59}, {"source": 59, "target": 60}, {"source": 60, "target": 61}, {"source": 61, "target": 62}, {"source": 62, "target": 63}]}, "source": "synthetic"}
{"question_id": "graph_000297::difficulty=counterfactual", "question": "If an edge were added between node 0 and node 63, would they be directly connected?", "answer": "yes", "modality": "graph", "data_id": "city_blocks_grid", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "urban", "topology_type": "grid", "num_nodes": 64, "num_edges": 112}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}], "edges": [{"source": 0, "target": 8}, {"source": 0, "target": 1}, {"source": 1, "target": 9}, {"source": 1, "target": 2}, {"source": 2, "target": 10}, {"source": 2, "target": 3}, {"source": 3, "target": 11}, {"source": 3, "target": 4}, {"source": 4, "target": 12}, {"source": 4, "target": 5}, {"source": 5, "target": 13}, {"source": 5, "target": 6}, {"source": 6, "target": 14}, {"source": 6, "target": 7}, {"source": 7, "target": 15}, {"source": 8, "target": 16}, {"source": 8, "target": 9}, {"source": 9, "target": 17}, {"source": 9, "target": 10}, {"source": 10, "target": 18}, {"source": 10, "target": 11}, {"source": 11, "target": 19}, {"source": 11, "target": 12}, {"source": 12, "target": 20}, {"source": 12, "target": 13}, {"source": 13, "target": 21}, {"source": 13, "target": 14}, {"source": 14, "target": 22}, {"source": 14, "target": 15}, {"source": 15, "target": 23}, {"source": 16, "target": 24}, {"source": 16, "target": 17}, {"source": 17, "target": 25}, {"source": 17, "target": 18}, {"source": 18, "target": 26}, {"source": 18, "target": 19}, {"source": 19, "target": 27}, {"source": 19, "target": 20}, {"source": 20, "target": 28}, {"source": 20, "target": 21}, {"source": 21, "target": 29}, {"source": 21, "target": 22}, {"source": 22, "target": 30}, {"source": 22, "target": 23}, {"source": 23, "target": 31}, {"source": 24, "target": 32}, {"source": 24, "target": 25}, {"source": 25, "target": 33}, {"source": 25, "target": 26}, {"source": 26, "target": 34}, {"source": 26, "target": 27}, {"source": 27, "target": 35}, {"source": 27, "target": 28}, {"source": 28, "target": 36}, {"source": 28, "target": 29}, {"source": 29, "target": 37}, {"source": 29, "target": 30}, {"source": 30, "target": 38}, {"source": 30, "target": 31}, {"source": 31, "target": 39}, {"source": 32, "target": 40}, {"source": 32, "target": 33}, {"source": 33, "target": 41}, {"source": 33, "target": 34}, {"source": 34, "target": 42}, {"source": 34, "target": 35}, {"source": 35, "target": 43}, {"source": 35, "target": 36}, {"source": 36, "target": 44}, {"source": 36, "target": 37}, {"source": 37, "target": 45}, {"source": 37, "target": 38}, {"source": 38, "target": 46}, {"source": 38, "target": 39}, {"source": 39, "target": 47}, {"source": 40, "target": 48}, {"source": 40, "target": 41}, {"source": 41, "target": 49}, {"source": 41, "target": 42}, {"source": 42, "target": 50}, {"source": 42, "target": 43}, {"source": 43, "target": 51}, {"source": 43, "target": 44}, {"source": 44, "target": 52}, {"source": 44, "target": 45}, {"source": 45, "target": 53}, {"source": 45, "target": 46}, {"source": 46, "target": 54}, {"source": 46, "target": 47}, {"source": 47, "target": 55}, {"source": 48, "target": 56}, {"source": 48, "target": 49}, {"source": 49, "target": 57}, {"source": 49, "target": 50}, {"source": 50, "target": 58}, {"source": 50, "target": 51}, {"source": 51, "target": 59}, {"source": 51, "target": 52}, {"source": 52, "target": 60}, {"source": 52, "target": 53}, {"source": 53, "target": 61}, {"source": 53, "target": 54}, {"source": 54, "target": 62}, {"source": 54, "target": 55}, {"source": 55, "target": 63}, {"source": 56, "target": 57}, {"source": 57, "target": 58}, {"source": 58, "target": 59}, {"source": 59, "target": 60}, {"source": 60, "target": 61}, {"source": 61, "target": 62}, {"source": 62, "target": 63}]}, "source": "synthetic"}
{"question_id": "graph_000298::difficulty=counterfactual", "question": "If the edge between node 0 and node 63 were removed, would the number of connected components increase?", "answer": "no", "modality": "graph", "data_id": "city_blocks_grid", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "urban", "topology_type": "grid", "num_nodes": 64, "num_edges": 112}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}], "edges": [{"source": 0, "target": 8}, {"source": 0, "target": 1}, {"source": 1, "target": 9}, {"source": 1, "target": 2}, {"source": 2, "target": 10}, {"source": 2, "target": 3}, {"source": 3, "target": 11}, {"source": 3, "target": 4}, {"source": 4, "target": 12}, {"source": 4, "target": 5}, {"source": 5, "target": 13}, {"source": 5, "target": 6}, {"source": 6, "target": 14}, {"source": 6, "target": 7}, {"source": 7, "target": 15}, {"source": 8, "target": 16}, {"source": 8, "target": 9}, {"source": 9, "target": 17}, {"source": 9, "target": 10}, {"source": 10, "target": 18}, {"source": 10, "target": 11}, {"source": 11, "target": 19}, {"source": 11, "target": 12}, {"source": 12, "target": 20}, {"source": 12, "target": 13}, {"source": 13, "target": 21}, {"source": 13, "target": 14}, {"source": 14, "target": 22}, {"source": 14, "target": 15}, {"source": 15, "target": 23}, {"source": 16, "target": 24}, {"source": 16, "target": 17}, {"source": 17, "target": 25}, {"source": 17, "target": 18}, {"source": 18, "target": 26}, {"source": 18, "target": 19}, {"source": 19, "target": 27}, {"source": 19, "target": 20}, {"source": 20, "target": 28}, {"source": 20, "target": 21}, {"source": 21, "target": 29}, {"source": 21, "target": 22}, {"source": 22, "target": 30}, {"source": 22, "target": 23}, {"source": 23, "target": 31}, {"source": 24, "target": 32}, {"source": 24, "target": 25}, {"source": 25, "target": 33}, {"source": 25, "target": 26}, {"source": 26, "target": 34}, {"source": 26, "target": 27}, {"source": 27, "target": 35}, {"source": 27, "target": 28}, {"source": 28, "target": 36}, {"source": 28, "target": 29}, {"source": 29, "target": 37}, {"source": 29, "target": 30}, {"source": 30, "target": 38}, {"source": 30, "target": 31}, {"source": 31, "target": 39}, {"source": 32, "target": 40}, {"source": 32, "target": 33}, {"source": 33, "target": 41}, {"source": 33, "target": 34}, {"source": 34, "target": 42}, {"source": 34, "target": 35}, {"source": 35, "target": 43}, {"source": 35, "target": 36}, {"source": 36, "target": 44}, {"source": 36, "target": 37}, {"source": 37, "target": 45}, {"source": 37, "target": 38}, {"source": 38, "target": 46}, {"source": 38, "target": 39}, {"source": 39, "target": 47}, {"source": 40, "target": 48}, {"source": 40, "target": 41}, {"source": 41, "target": 49}, {"source": 41, "target": 42}, {"source": 42, "target": 50}, {"source": 42, "target": 43}, {"source": 43, "target": 51}, {"source": 43, "target": 44}, {"source": 44, "target": 52}, {"source": 44, "target": 45}, {"source": 45, "target": 53}, {"source": 45, "target": 46}, {"source": 46, "target": 54}, {"source": 46, "target": 47}, {"source": 47, "target": 55}, {"source": 48, "target": 56}, {"source": 48, "target": 49}, {"source": 49, "target": 57}, {"source": 49, "target": 50}, {"source": 50, "target": 58}, {"source": 50, "target": 51}, {"source": 51, "target": 59}, {"source": 51, "target": 52}, {"source": 52, "target": 60}, {"source": 52, "target": 53}, {"source": 53, "target": 61}, {"source": 53, "target": 54}, {"source": 54, "target": 62}, {"source": 54, "target": 55}, {"source": 55, "target": 63}, {"source": 56, "target": 57}, {"source": 57, "target": 58}, {"source": 58, "target": 59}, {"source": 59, "target": 60}, {"source": 60, "target": 61}, {"source": 61, "target": 62}, {"source": 62, "target": 63}]}, "source": "synthetic"}
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{"question_id": "graph_000306::difficulty=1-hop", "question": "How many immediate neighbors does node 12 have?", "answer": "4", "modality": "graph", "data_id": "factory_floor_grid", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000307::difficulty=2-hop", "question": "What is the shortest path length between node 0 and node 49?", "answer": "13", "modality": "graph", "data_id": "factory_floor_grid", "task": "shortest_path", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
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{"question_id": "graph_000309::difficulty=2-hop", "question": "What is the approximate clustering coefficient of the graph?", "answer": "0.000", "modality": "graph", "data_id": "factory_floor_grid", "task": "clustering", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000310::difficulty=2-hop", "question": "Is this graph bipartite?", "answer": "yes", "modality": "graph", "data_id": "factory_floor_grid", "task": "bipartite_check", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000311::difficulty=2-hop", "question": "Does this graph contain a cycle?", "answer": "yes", "modality": "graph", "data_id": "factory_floor_grid", "task": "cycle_detection", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
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{"question_id": "graph_000314::difficulty=2-hop", "question": "Is there a path between node 0 and node 3?", "answer": "yes", "modality": "graph", "data_id": "factory_floor_grid", "task": "connectivity", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000315::difficulty=3-hop", "question": "What fraction of nodes belong to the largest connected component?", "answer": "1.0", "modality": "graph", "data_id": "factory_floor_grid", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000316::difficulty=3-hop", "question": "Which node has the highest betweenness centrality?", "answer": "25", "modality": "graph", "data_id": "factory_floor_grid", "task": "centrality", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000317::difficulty=3-hop", "question": "What is the diameter of the graph (or largest component)?", "answer": "13", "modality": "graph", "data_id": "factory_floor_grid", "task": "diameter", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000318::difficulty=3-hop", "question": "What is the average degree among node 0, node 25, and node 49?", "answer": "2.667", "modality": "graph", "data_id": "factory_floor_grid", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000319::difficulty=3-hop", "question": "How many nodes are in the largest connected component?", "answer": "50", "modality": "graph", "data_id": "factory_floor_grid", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000320::difficulty=3-hop", "question": "What is the average degree of the graph?", "answer": "3.400", "modality": "graph", "data_id": "factory_floor_grid", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000321::difficulty=counterfactual", "question": "If one bridge edge were removed, would the number of connected components likely increase?", "answer": "yes", "modality": "graph", "data_id": "factory_floor_grid", "task": "community", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000322::difficulty=counterfactual", "question": "If an edge were added between node 0 and node 49, would they be directly connected?", "answer": "yes", "modality": "graph", "data_id": "factory_floor_grid", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000323::difficulty=counterfactual", "question": "If the edge between node 0 and node 49 were removed, would the number of connected components increase?", "answer": "no", "modality": "graph", "data_id": "factory_floor_grid", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000324::difficulty=counterfactual", "question": "If one random edge were removed, would the total edge count decrease by one?", "answer": "yes", "modality": "graph", "data_id": "factory_floor_grid", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "manufacturing", "topology_type": "grid", "num_nodes": 50, "num_edges": 85}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}], "edges": [{"source": 0, "target": 10}, {"source": 0, "target": 1}, {"source": 1, "target": 11}, {"source": 1, "target": 2}, {"source": 2, "target": 12}, {"source": 2, "target": 3}, {"source": 3, "target": 13}, {"source": 3, "target": 4}, {"source": 4, "target": 14}, {"source": 4, "target": 5}, {"source": 5, "target": 15}, {"source": 5, "target": 6}, {"source": 6, "target": 16}, {"source": 6, "target": 7}, {"source": 7, "target": 17}, {"source": 7, "target": 8}, {"source": 8, "target": 18}, {"source": 8, "target": 9}, {"source": 9, "target": 19}, {"source": 10, "target": 20}, {"source": 10, "target": 11}, {"source": 11, "target": 21}, {"source": 11, "target": 12}, {"source": 12, "target": 22}, {"source": 12, "target": 13}, {"source": 13, "target": 23}, {"source": 13, "target": 14}, {"source": 14, "target": 24}, {"source": 14, "target": 15}, {"source": 15, "target": 25}, {"source": 15, "target": 16}, {"source": 16, "target": 26}, {"source": 16, "target": 17}, {"source": 17, "target": 27}, {"source": 17, "target": 18}, {"source": 18, "target": 28}, {"source": 18, "target": 19}, {"source": 19, "target": 29}, {"source": 20, "target": 30}, {"source": 20, "target": 21}, {"source": 21, "target": 31}, {"source": 21, "target": 22}, {"source": 22, "target": 32}, {"source": 22, "target": 23}, {"source": 23, "target": 33}, {"source": 23, "target": 24}, {"source": 24, "target": 34}, {"source": 24, "target": 25}, {"source": 25, "target": 35}, {"source": 25, "target": 26}, {"source": 26, "target": 36}, {"source": 26, "target": 27}, {"source": 27, "target": 37}, {"source": 27, "target": 28}, {"source": 28, "target": 38}, {"source": 28, "target": 29}, {"source": 29, "target": 39}, {"source": 30, "target": 40}, {"source": 30, "target": 31}, {"source": 31, "target": 41}, {"source": 31, "target": 32}, {"source": 32, "target": 42}, {"source": 32, "target": 33}, {"source": 33, "target": 43}, {"source": 33, "target": 34}, {"source": 34, "target": 44}, {"source": 34, "target": 35}, {"source": 35, "target": 45}, {"source": 35, "target": 36}, {"source": 36, "target": 46}, {"source": 36, "target": 37}, {"source": 37, "target": 47}, {"source": 37, "target": 38}, {"source": 38, "target": 48}, {"source": 38, "target": 39}, {"source": 39, "target": 49}, {"source": 40, "target": 41}, {"source": 41, "target": 42}, {"source": 42, "target": 43}, {"source": 43, "target": 44}, {"source": 44, "target": 45}, {"source": 45, "target": 46}, {"source": 46, "target": 47}, {"source": 47, "target": 48}, {"source": 48, "target": 49}]}, "source": "synthetic"}
{"question_id": "graph_000325::difficulty=1-hop", "question": "Are node 0 and node 31 connected?", "answer": "yes", "modality": "graph", "data_id": "broadcast_hub_star", "task": "connectivity", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000326::difficulty=1-hop", "question": "What is the degree of node 0?", "answer": "31", "modality": "graph", "data_id": "broadcast_hub_star", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000327::difficulty=1-hop", "question": "What is the degree of node 16?", "answer": "1", "modality": "graph", "data_id": "broadcast_hub_star", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000328::difficulty=1-hop", "question": "What is the degree of node 31?", "answer": "1", "modality": "graph", "data_id": "broadcast_hub_star", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000329::difficulty=1-hop", "question": "How many edges does this graph have?", "answer": "31", "modality": "graph", "data_id": "broadcast_hub_star", "task": "edge_count", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000330::difficulty=1-hop", "question": "How many immediate neighbors does node 0 have?", "answer": "31", "modality": "graph", "data_id": "broadcast_hub_star", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000331::difficulty=1-hop", "question": "How many immediate neighbors does node 1 have?", "answer": "1", "modality": "graph", "data_id": "broadcast_hub_star", "task": "degree_query", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000332::difficulty=2-hop", "question": "What is the shortest path length between node 0 and node 31?", "answer": "1", "modality": "graph", "data_id": "broadcast_hub_star", "task": "shortest_path", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000333::difficulty=2-hop", "question": "Which node has the highest degree?", "answer": "0", "modality": "graph", "data_id": "broadcast_hub_star", "task": "degree_query", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000334::difficulty=2-hop", "question": "What is the approximate clustering coefficient of the graph?", "answer": "0.000", "modality": "graph", "data_id": "broadcast_hub_star", "task": "clustering", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000335::difficulty=2-hop", "question": "Is this graph bipartite?", "answer": "yes", "modality": "graph", "data_id": "broadcast_hub_star", "task": "bipartite_check", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000336::difficulty=2-hop", "question": "Does this graph contain a cycle?", "answer": "no", "modality": "graph", "data_id": "broadcast_hub_star", "task": "cycle_detection", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000337::difficulty=2-hop", "question": "Is there a path between node 0 and node 1?", "answer": "yes", "modality": "graph", "data_id": "broadcast_hub_star", "task": "connectivity", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000338::difficulty=2-hop", "question": "Is there a path between node 0 and node 2?", "answer": "yes", "modality": "graph", "data_id": "broadcast_hub_star", "task": "connectivity", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000339::difficulty=2-hop", "question": "Is there a path between node 0 and node 3?", "answer": "yes", "modality": "graph", "data_id": "broadcast_hub_star", "task": "connectivity", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000340::difficulty=3-hop", "question": "What fraction of nodes belong to the largest connected component?", "answer": "1.0", "modality": "graph", "data_id": "broadcast_hub_star", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000341::difficulty=3-hop", "question": "Which node has the highest betweenness centrality?", "answer": "0", "modality": "graph", "data_id": "broadcast_hub_star", "task": "centrality", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000342::difficulty=3-hop", "question": "What is the diameter of the graph (or largest component)?", "answer": "2", "modality": "graph", "data_id": "broadcast_hub_star", "task": "diameter", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000343::difficulty=3-hop", "question": "What is the average degree among node 0, node 16, and node 31?", "answer": "11.000", "modality": "graph", "data_id": "broadcast_hub_star", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000344::difficulty=3-hop", "question": "How many nodes are in the largest connected component?", "answer": "32", "modality": "graph", "data_id": "broadcast_hub_star", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000345::difficulty=3-hop", "question": "What is the average degree of the graph?", "answer": "1.938", "modality": "graph", "data_id": "broadcast_hub_star", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000346::difficulty=counterfactual", "question": "If one bridge edge were removed, would the number of connected components likely increase?", "answer": "no", "modality": "graph", "data_id": "broadcast_hub_star", "task": "community", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000347::difficulty=counterfactual", "question": "If an edge were added between node 0 and node 31, would they be directly connected?", "answer": "yes", "modality": "graph", "data_id": "broadcast_hub_star", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000348::difficulty=counterfactual", "question": "If the edge between node 0 and node 31 were removed, would the number of connected components increase?", "answer": "yes", "modality": "graph", "data_id": "broadcast_hub_star", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000349::difficulty=counterfactual", "question": "If one random edge were removed, would the total edge count decrease by one?", "answer": "yes", "modality": "graph", "data_id": "broadcast_hub_star", "task": "counterfactual", "difficulty": "counterfactual", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "telecom", "topology_type": "star", "num_nodes": 32, "num_edges": 31}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}]}, "source": "synthetic"}
{"question_id": "graph_000350::difficulty=1-hop", "question": "Are node 0 and node 70 connected?", "answer": "yes", "modality": "graph", "data_id": "airline_hub_star", "task": "connectivity", "difficulty": "1-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "aviation", "topology_type": "star", "num_nodes": 71, "num_edges": 70}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}, {"source": 0, "target": 32}, {"source": 0, "target": 33}, {"source": 0, "target": 34}, {"source": 0, "target": 35}, {"source": 0, "target": 36}, {"source": 0, "target": 37}, {"source": 0, "target": 38}, {"source": 0, "target": 39}, {"source": 0, "target": 40}, {"source": 0, "target": 41}, {"source": 0, "target": 42}, {"source": 0, "target": 43}, {"source": 0, "target": 44}, {"source": 0, "target": 45}, {"source": 0, "target": 46}, {"source": 0, "target": 47}, {"source": 0, "target": 48}, {"source": 0, "target": 49}, {"source": 0, "target": 50}, {"source": 0, "target": 51}, {"source": 0, "target": 52}, {"source": 0, "target": 53}, {"source": 0, "target": 54}, {"source": 0, "target": 55}, {"source": 0, "target": 56}, {"source": 0, "target": 57}, {"source": 0, "target": 58}, {"source": 0, "target": 59}, {"source": 0, "target": 60}, {"source": 0, "target": 61}, {"source": 0, "target": 62}, {"source": 0, "target": 63}, {"source": 0, "target": 64}, {"source": 0, "target": 65}, {"source": 0, "target": 66}, {"source": 0, "target": 67}, {"source": 0, "target": 68}, {"source": 0, "target": 69}, {"source": 0, "target": 70}]}, "source": "synthetic"}
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{"question_id": "graph_000357::difficulty=2-hop", "question": "What is the shortest path length between node 0 and node 70?", "answer": "1", "modality": "graph", "data_id": "airline_hub_star", "task": "shortest_path", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "aviation", "topology_type": "star", "num_nodes": 71, "num_edges": 70}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}, {"source": 0, "target": 32}, {"source": 0, "target": 33}, {"source": 0, "target": 34}, {"source": 0, "target": 35}, {"source": 0, "target": 36}, {"source": 0, "target": 37}, {"source": 0, "target": 38}, {"source": 0, "target": 39}, {"source": 0, "target": 40}, {"source": 0, "target": 41}, {"source": 0, "target": 42}, {"source": 0, "target": 43}, {"source": 0, "target": 44}, {"source": 0, "target": 45}, {"source": 0, "target": 46}, {"source": 0, "target": 47}, {"source": 0, "target": 48}, {"source": 0, "target": 49}, {"source": 0, "target": 50}, {"source": 0, "target": 51}, {"source": 0, "target": 52}, {"source": 0, "target": 53}, {"source": 0, "target": 54}, {"source": 0, "target": 55}, {"source": 0, "target": 56}, {"source": 0, "target": 57}, {"source": 0, "target": 58}, {"source": 0, "target": 59}, {"source": 0, "target": 60}, {"source": 0, "target": 61}, {"source": 0, "target": 62}, {"source": 0, "target": 63}, {"source": 0, "target": 64}, {"source": 0, "target": 65}, {"source": 0, "target": 66}, {"source": 0, "target": 67}, {"source": 0, "target": 68}, {"source": 0, "target": 69}, {"source": 0, "target": 70}]}, "source": "synthetic"}
{"question_id": "graph_000358::difficulty=2-hop", "question": "Which node has the highest degree?", "answer": "0", "modality": "graph", "data_id": "airline_hub_star", "task": "degree_query", "difficulty": "2-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "aviation", "topology_type": "star", "num_nodes": 71, "num_edges": 70}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}, {"source": 0, "target": 32}, {"source": 0, "target": 33}, {"source": 0, "target": 34}, {"source": 0, "target": 35}, {"source": 0, "target": 36}, {"source": 0, "target": 37}, {"source": 0, "target": 38}, {"source": 0, "target": 39}, {"source": 0, "target": 40}, {"source": 0, "target": 41}, {"source": 0, "target": 42}, {"source": 0, "target": 43}, {"source": 0, "target": 44}, {"source": 0, "target": 45}, {"source": 0, "target": 46}, {"source": 0, "target": 47}, {"source": 0, "target": 48}, {"source": 0, "target": 49}, {"source": 0, "target": 50}, {"source": 0, "target": 51}, {"source": 0, "target": 52}, {"source": 0, "target": 53}, {"source": 0, "target": 54}, {"source": 0, "target": 55}, {"source": 0, "target": 56}, {"source": 0, "target": 57}, {"source": 0, "target": 58}, {"source": 0, "target": 59}, {"source": 0, "target": 60}, {"source": 0, "target": 61}, {"source": 0, "target": 62}, {"source": 0, "target": 63}, {"source": 0, "target": 64}, {"source": 0, "target": 65}, {"source": 0, "target": 66}, {"source": 0, "target": 67}, {"source": 0, "target": 68}, {"source": 0, "target": 69}, {"source": 0, "target": 70}]}, "source": "synthetic"}
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{"question_id": "graph_000366::difficulty=3-hop", "question": "Which node has the highest betweenness centrality?", "answer": "0", "modality": "graph", "data_id": "airline_hub_star", "task": "centrality", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "aviation", "topology_type": "star", "num_nodes": 71, "num_edges": 70}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}, {"source": 0, "target": 32}, {"source": 0, "target": 33}, {"source": 0, "target": 34}, {"source": 0, "target": 35}, {"source": 0, "target": 36}, {"source": 0, "target": 37}, {"source": 0, "target": 38}, {"source": 0, "target": 39}, {"source": 0, "target": 40}, {"source": 0, "target": 41}, {"source": 0, "target": 42}, {"source": 0, "target": 43}, {"source": 0, "target": 44}, {"source": 0, "target": 45}, {"source": 0, "target": 46}, {"source": 0, "target": 47}, {"source": 0, "target": 48}, {"source": 0, "target": 49}, {"source": 0, "target": 50}, {"source": 0, "target": 51}, {"source": 0, "target": 52}, {"source": 0, "target": 53}, {"source": 0, "target": 54}, {"source": 0, "target": 55}, {"source": 0, "target": 56}, {"source": 0, "target": 57}, {"source": 0, "target": 58}, {"source": 0, "target": 59}, {"source": 0, "target": 60}, {"source": 0, "target": 61}, {"source": 0, "target": 62}, {"source": 0, "target": 63}, {"source": 0, "target": 64}, {"source": 0, "target": 65}, {"source": 0, "target": 66}, {"source": 0, "target": 67}, {"source": 0, "target": 68}, {"source": 0, "target": 69}, {"source": 0, "target": 70}]}, "source": "synthetic"}
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{"question_id": "graph_000368::difficulty=3-hop", "question": "What is the average degree among node 0, node 35, and node 70?", "answer": "24.000", "modality": "graph", "data_id": "airline_hub_star", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "aviation", "topology_type": "star", "num_nodes": 71, "num_edges": 70}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}, {"source": 0, "target": 32}, {"source": 0, "target": 33}, {"source": 0, "target": 34}, {"source": 0, "target": 35}, {"source": 0, "target": 36}, {"source": 0, "target": 37}, {"source": 0, "target": 38}, {"source": 0, "target": 39}, {"source": 0, "target": 40}, {"source": 0, "target": 41}, {"source": 0, "target": 42}, {"source": 0, "target": 43}, {"source": 0, "target": 44}, {"source": 0, "target": 45}, {"source": 0, "target": 46}, {"source": 0, "target": 47}, {"source": 0, "target": 48}, {"source": 0, "target": 49}, {"source": 0, "target": 50}, {"source": 0, "target": 51}, {"source": 0, "target": 52}, {"source": 0, "target": 53}, {"source": 0, "target": 54}, {"source": 0, "target": 55}, {"source": 0, "target": 56}, {"source": 0, "target": 57}, {"source": 0, "target": 58}, {"source": 0, "target": 59}, {"source": 0, "target": 60}, {"source": 0, "target": 61}, {"source": 0, "target": 62}, {"source": 0, "target": 63}, {"source": 0, "target": 64}, {"source": 0, "target": 65}, {"source": 0, "target": 66}, {"source": 0, "target": 67}, {"source": 0, "target": 68}, {"source": 0, "target": 69}, {"source": 0, "target": 70}]}, "source": "synthetic"}
{"question_id": "graph_000369::difficulty=3-hop", "question": "How many nodes are in the largest connected component?", "answer": "71", "modality": "graph", "data_id": "airline_hub_star", "task": "community", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "aviation", "topology_type": "star", "num_nodes": 71, "num_edges": 70}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}, {"source": 0, "target": 32}, {"source": 0, "target": 33}, {"source": 0, "target": 34}, {"source": 0, "target": 35}, {"source": 0, "target": 36}, {"source": 0, "target": 37}, {"source": 0, "target": 38}, {"source": 0, "target": 39}, {"source": 0, "target": 40}, {"source": 0, "target": 41}, {"source": 0, "target": 42}, {"source": 0, "target": 43}, {"source": 0, "target": 44}, {"source": 0, "target": 45}, {"source": 0, "target": 46}, {"source": 0, "target": 47}, {"source": 0, "target": 48}, {"source": 0, "target": 49}, {"source": 0, "target": 50}, {"source": 0, "target": 51}, {"source": 0, "target": 52}, {"source": 0, "target": 53}, {"source": 0, "target": 54}, {"source": 0, "target": 55}, {"source": 0, "target": 56}, {"source": 0, "target": 57}, {"source": 0, "target": 58}, {"source": 0, "target": 59}, {"source": 0, "target": 60}, {"source": 0, "target": 61}, {"source": 0, "target": 62}, {"source": 0, "target": 63}, {"source": 0, "target": 64}, {"source": 0, "target": 65}, {"source": 0, "target": 66}, {"source": 0, "target": 67}, {"source": 0, "target": 68}, {"source": 0, "target": 69}, {"source": 0, "target": 70}]}, "source": "synthetic"}
{"question_id": "graph_000370::difficulty=3-hop", "question": "What is the average degree of the graph?", "answer": "1.972", "modality": "graph", "data_id": "airline_hub_star", "task": "degree_query", "difficulty": "3-hop", "viz_methods": ["node_link", "adjacency_matrix", "circular_layout", "text_only"], "metadata": {"domain": "aviation", "topology_type": "star", "num_nodes": 71, "num_edges": 70}, "data_format": "networkx_node_link", "data": {"directed": false, "multigraph": false, "graph": {}, "nodes": [{"id": 0}, {"id": 1}, {"id": 2}, {"id": 3}, {"id": 4}, {"id": 5}, {"id": 6}, {"id": 7}, {"id": 8}, {"id": 9}, {"id": 10}, {"id": 11}, {"id": 12}, {"id": 13}, {"id": 14}, {"id": 15}, {"id": 16}, {"id": 17}, {"id": 18}, {"id": 19}, {"id": 20}, {"id": 21}, {"id": 22}, {"id": 23}, {"id": 24}, {"id": 25}, {"id": 26}, {"id": 27}, {"id": 28}, {"id": 29}, {"id": 30}, {"id": 31}, {"id": 32}, {"id": 33}, {"id": 34}, {"id": 35}, {"id": 36}, {"id": 37}, {"id": 38}, {"id": 39}, {"id": 40}, {"id": 41}, {"id": 42}, {"id": 43}, {"id": 44}, {"id": 45}, {"id": 46}, {"id": 47}, {"id": 48}, {"id": 49}, {"id": 50}, {"id": 51}, {"id": 52}, {"id": 53}, {"id": 54}, {"id": 55}, {"id": 56}, {"id": 57}, {"id": 58}, {"id": 59}, {"id": 60}, {"id": 61}, {"id": 62}, {"id": 63}, {"id": 64}, {"id": 65}, {"id": 66}, {"id": 67}, {"id": 68}, {"id": 69}, {"id": 70}], "edges": [{"source": 0, "target": 1}, {"source": 0, "target": 2}, {"source": 0, "target": 3}, {"source": 0, "target": 4}, {"source": 0, "target": 5}, {"source": 0, "target": 6}, {"source": 0, "target": 7}, {"source": 0, "target": 8}, {"source": 0, "target": 9}, {"source": 0, "target": 10}, {"source": 0, "target": 11}, {"source": 0, "target": 12}, {"source": 0, "target": 13}, {"source": 0, "target": 14}, {"source": 0, "target": 15}, {"source": 0, "target": 16}, {"source": 0, "target": 17}, {"source": 0, "target": 18}, {"source": 0, "target": 19}, {"source": 0, "target": 20}, {"source": 0, "target": 21}, {"source": 0, "target": 22}, {"source": 0, "target": 23}, {"source": 0, "target": 24}, {"source": 0, "target": 25}, {"source": 0, "target": 26}, {"source": 0, "target": 27}, {"source": 0, "target": 28}, {"source": 0, "target": 29}, {"source": 0, "target": 30}, {"source": 0, "target": 31}, {"source": 0, "target": 32}, {"source": 0, "target": 33}, {"source": 0, "target": 34}, {"source": 0, "target": 35}, {"source": 0, "target": 36}, {"source": 0, "target": 37}, {"source": 0, "target": 38}, {"source": 0, "target": 39}, {"source": 0, "target": 40}, {"source": 0, "target": 41}, {"source": 0, "target": 42}, {"source": 0, "target": 43}, {"source": 0, "target": 44}, {"source": 0, "target": 45}, {"source": 0, "target": 46}, {"source": 0, "target": 47}, {"source": 0, "target": 48}, {"source": 0, "target": 49}, {"source": 0, "target": 50}, {"source": 0, "target": 51}, {"source": 0, "target": 52}, {"source": 0, "target": 53}, {"source": 0, "target": 54}, {"source": 0, "target": 55}, {"source": 0, "target": 56}, {"source": 0, "target": 57}, {"source": 0, "target": 58}, {"source": 0, "target": 59}, {"source": 0, "target": 60}, {"source": 0, "target": 61}, {"source": 0, "target": 62}, {"source": 0, "target": 63}, {"source": 0, "target": 64}, {"source": 0, "target": 65}, {"source": 0, "target": 66}, {"source": 0, "target": 67}, {"source": 0, "target": 68}, {"source": 0, "target": 69}, {"source": 0, "target": 70}]}, "source": "synthetic"}
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