[ { "sub_set": "OChartR", "id": "ochartr_en_0", "image_path": "OChartR/img/en_0_smartdraw.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text. Sort in alphabetical order according to state names.", "answer": "Expected Revenue for 2024\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n States Revenue ($)\n
\n Washington\n \n 753,046\n
\n Montana\n \n 49,082\n
\n North Dakota\n \n 38,152\n
\n Minnesota\n \n 62,017\n
\n Wisconsin\n \n 25,271\n
\n Maine\n \n 32,348\n
\n Oregon\n \n 34,352\n
\n Wyoming\n \n 46,792\n
\n South Dakota\n \n 51,752\n
\n Utah\n \n 39,112\n
\n Colorado\n \n 37,791\n
\n Missouri\n \n 48,211\n
\n lllinois\n \n 35,435\n
\n Virqinia\n \n 132,385\n
\n California\n \n 43,120\n
\n Kansas\n \n 48,46\n
\n Arkansas\n \n 41,278\n
\n North Carolina\n \n 47,493\n
\n Arizona\n \n 41,162\n
\n New Mexico\n \n 32,439\n
\n Oklahoma\n \n 88,92\n
\n South Carolina\n \n 40,542\n
\n Alaska\n \n 2,135\n
\n Texas\n \n 78,901\n
\n Louisiana\n \n 90,123\n
\n Alabama\n \n 94,154\n
\n Florida\n \n 19,504\n
\n Hawaii\n \n 985\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_10", "image_path": "OChartR/img/en_10_oecd.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Figure 2.4. The eight sub-categories of initiatives\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Teaching youth\n \n 29%\n
\n Teaching businesses\n \n 9%\n
\n Teaching individuals\n \n 5%\n
\n Information campaigns\n \n 18%\n
\n Building a positive\n
\n relationship\n 		\n 13%\n
\n Tailored communication\n \n 5%\n
\n Assisting in using tools\n
\n and services\n 		\n 10%\n
\n Offering direct assistance\n \n 11%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_11", "image_path": "OChartR/img/en_11_sec.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Cash, deposits with banks, and investment securities\\[($B)^{4}\\]\n \n Liquid assets($B)\n \n Average loans/Cash, deposits with banks, and investment securities(%)\n \n Average loans/Liquid assets(%)\n
\n 2005\n \n $106\n \n N/A\n \n 387%\n \n N/A\n
\n 2006\n \n $146\n \n N/A\n \n 311%\n \n N/A\n
\n 2007\n \n $137\n \n N/A\n \n 350%\n \n N/A\n
\n 2008\n \n $371\n \n N/A\n \n 159%\n \n N/A\n
\n 2009\n \n $450\n \n N/A\n \n 152%\n \n N/A\n
\n 2010\n \n $366\n \n N/A\n \n 192%\n \n N/A\n
\n 2011\n \n $510\n \n N/A\n \n 136%\n \n N/A\n
\n 2012\n \n $547\n \n N/A\n \n 132%\n \n N/A\n
\n 2013\n \n N/A\n \n $804\n \n N/A\n \n 90%\n
\n 2014\n \n N/A\n \n $921\n \n N/A\n \n 80%\n
\n 2015\n \n N/A\n \n $745\n \n N/A\n \n 106%\n
\n 2016\n \n N/A\n \n $786\n \n N/A\n \n 110%\n
\n 2017\n \n N/A\n \n $768\n \n N/A\n \n 118%\n
\n 2018\n \n N/A\n \n $755\n \n N/A\n \n 129%\n
\n 2019\n \n N/A\n \n $860\n \n N/A\n \n 115%\n
\n 2020\n \n N/A\n \n $1,437\n \n N/A\n \n 70%\n
\n 2021\n \n N/A\n \n $1,652\n \n N/A\n \n 63%\n
\n 2022\n \n N/A\n \n $1,430\n \n N/A\n \n 77%\n
\n 2023\n \n N/A\n \n $1,447\n \n N/A\n \n 86%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_12", "image_path": "OChartR/img/en_12_oecd.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \"High-potential\"\n
\n households\n 		\n 41.7%\n
\n Have already\n
\n invested\n 		\n -9.6%\n
\n Not feasible\n
\n to invest\n 		\n -4.2%\n
\n Plan to\n
\n invest soon\n 		\n -2.9%\n
\n Cannot afford\n
\n to invest\n 		\n -10.4%\n
\n Not interested\n
\n in investing\n 		\n 14.6%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_13", "image_path": "OChartR/img/en_13_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Fig. 3.11. Prevalence of physical and/or sexual intimate partner violence against ever-partnered women aged 15-49 years,\\nby World Bank country income group and globally, 2018\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Lifetime prevalence (%)\n \n Past 12months prevalence (%)\n
\n Low-income\n
\n countries\n 		\n 36\n \n 22\n
\n Lower-middle-income\n
\n countries\n 		\n 32\n \n 17\n
\n Upper-middle-income\n
\n countries\n 		\n 22\n \n 9\n
\n High income\n
\n countries\n 		\n 22\n \n 6\n
\n Global\n \n 27\n \n 13\n
\nNotes: The income grouping refers to the World Bank analytical income of economies as of 1 July 2020, based on the 2019 gross national income per capita estimates\\ncalculated using the World Bank Atlas method.\n\nSource: Violence against women prevalence estimates, 2018: Global, regional and national prevalence estimates for intimate partner violence against women, and global\\nand regional prevalence estimates for nonpartner sexual violence against women (42).\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_14", "image_path": "OChartR/img/en_14_wb.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "FIGURE 1.10 Limited Progress in Expanding Financial Services Use in EMDEs Continuing\\nthe Gap between AEs and EMDEs, 2011-21\n \nAccess and use of financial services as share of total population (percent)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n High-income economies\n \n Developing economies\n
\n Account ownership\n \n 2011\n \n 88\n \n 42\n
\n 2014\n \n 93\n \n 55\n
\n 2017\n \n 94\n \n 63\n
\n 2021\n \n 96\n \n 71\n
\n Savings\n \n 2011\n \n 44\n \n 17\n
\n 2014\n \n 50\n \n 22\n
\n 2017\n \n 55\n \n 20\n
\n 2021\n \n 58\n \n 25\n
\n Credit\n \n 2014\n \n 50\n \n 22\n
\n 2017\n \n 55\n \n 20\n
\n 2021\n \n 58\n \n 25\n
\n Digital payment\n \n 2014\n \n 86\n \n 32\n
\n 2017\n \n 91\n \n 44\n
\n 2021\n \n 95\n \n 57\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_15", "image_path": "OChartR/img/en_15_sec.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n 2023\n \n 2022\n
\n % of total riskevents bycount\n \n Internal fraud\n \n 0.2\n \n 0.2\n
\n External fraud\n \n 85.1\n \n 85.9\n
\n Execution delivery\n
\n and process management\n 		\n 14.1\n \n 13.6\n
\n Employment practices\n
\n and workplace safety\n 		\n 0.1\n \n 0\n
\n Damage to physical assets\n \n 0.2\n \n 0.1\n
\n Clients,products\n
\n and business practices\n 		\n 0.1\n \n 0\n
\n Business disruption\n
\n and system failures\n 		\n 0.2\n \n 0.2\n
\n % of total risk events by value\n \n Internal fraud\n \n 0.4\n \n 0.4\n
\n External fraud\n \n 56\n \n 47.4\n
\n Execution delivery\n
\n and process management\n 		\n 39.7\n \n 51.6\n
\n Employment practices\n
\n and workplace safety\n 		\n 0\n \n 0\n
\n Damage to physical assets\n \n 1.8\n \n 0.2\n
\n Clients,products\n
\n and business practices\n 		\n 0.9\n \n 0.1\n
\n Business disruption\n
\n and system failures\n 		\n 1.2\n \n 0.2\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_16", "image_path": "OChartR/img/en_16_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Fig. 2.6. Under-five mortality rate (per 1000 live births), by WHO region and global, 1990, 2000 and 2020\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Under-five mortality rate (per 1000 live births)\n
\n \n 1990\n \n 2000\n \n 2020\n
\n Africa\n \n 762\n \n 149.9\n \n 79\n
\n Americas\n \n 43.1\n \n 26.4\n \n 13.2\n
\n Eastern Mediterranean\n \n 103.2\n \n 80.4\n \n 44.7\n
\n Europe\n \n 30.5\n \n 21\n \n 7.5\n
\n South-East Asia\n \n 118.7\n \n 83.7\n \n 30.4\n
\n Western Pacific\n \n 51.6\n \n 35\n \n 10.8\n
\n Global\n \n 93.2\n \n 75.8\n \n 36.6\n
\nSource: United Nations Inter-agency Group for Child Mortality Estimation. Levels and trends in child mortality: report 2021 (4).\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_17", "image_path": "OChartR/img/en_17_ILO.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Figure ES1. Distribution of occupations among key workers by country income group\\n(percentage)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Technicians and other support workers\n \n Transport\n \n Cleaning and sanitation\n \n Manual\n \n Security\n \n Retail\n \n Health\n \n Food systems\n
\n High income\n \n 9.2\n \n 10.4\n \n 7.5\n \n 17.8\n \n 7.5\n \n 17.6\n \n 20.1\n \n 10.1\n
\n Upper-middle\n
\n income\n 		\n 5.7\n \n 11.1\n \n 5.8\n \n 15.3\n \n 8.3\n \n 18.6\n \n 7.0\n \n 28.7\n
\n Lower-middle\n
\n income\n 		\n 2.8\n \n 8.1\n \n 5.0\n \n 10.1\n \n 3.9\n \n 20.0\n \n 3.3\n \n 47.3\n
\n LOW\n
\n income\n 		\n 1.7\n \n 3.7\n \n 2.8\n \n 6.4\n \n 2.1\n \n 22.0\n \n 1.7\n \n 59.8\n
\nNote: Due to data limitation, the \"technicians and other support workers\" category includes key personal service workers\\n(ISCO code 51), including those that fall under other occupational groups (for example, food systems workers, such as cooks).\n\nSource: Analysis based on ILO Harmonized Microdata (ILOSTAT). See Appendix for more details.\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_18", "image_path": "OChartR/img/en_18_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Fig. 2.15. Changes in age-standardized mortality rates for major noncommunicable diseases, by type and WHO region, 2019\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Africa\n \n Americas\n \n Eastern Mediterranean\n \n Europe\n \n South-East Asia\n \n Western Pacific\n \n Global\n
\n Change in ASR (%)\n
\n Cardiovascular diseases\n \n -21.3\n \n -32.5\n \n -15\n \n -42.2\n \n -15.7\n \n -21.7\n \n -27.4\n
\n Diabetes mellitus\n \n -11.9\n \n 2.3\n \n 20.2\n \n -10.6\n \n 4.7\n \n -3.3\n \n 3.3\n
\n Malignant neoplasms\n \n -3.7\n \n -21.3\n \n 3.3\n \n -20.2\n \n -3.5\n \n -18.7\n \n -16.4\n
\n Respiratory diseases\n \n -30.7\n \n -18.8\n \n -28.9\n \n -31.4\n \n -30.2\n \n -55.9\n \n -36.5\n
\n Change in deaths (%)\n
\n Cardiovascular diseases\n \n 31.4\n \n 14.9\n \n 54.1\n \n -14\n \n 56.2\n \n 47.4\n \n 25.1\n
\n Diabetes mellitus\n \n 48.1\n \n 71.5\n \n 118.9\n \n 30.9\n \n 91.6\n \n 72.9\n \n 72.3\n
\n Malignant neoplasms\n \n 65.3\n \n 30.6\n \n 86.4\n \n 10.3\n \n 65.8\n \n 41.1\n \n 36.8\n
\n Respiratory diseases\n \n 15.3\n \n 39.7\n \n 28.6\n \n 3.3\n \n 33.4\n \n -14.8\n \n 10\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_19", "image_path": "OChartR/img/en_19_ILO.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "▶ Figure A1. Presence of key occupations within essential and non-essential sectors (percentage)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Key\n \n Other\n
\n Food systems\n \n 89.5\n \n 10.5\n
\n Health\n \n 81.9\n \n 18.1\n
\n Retail\n \n 87.6\n \n 12.4\n
\n Security\n \n 84.6\n \n 15.4\n
\n Manual\n \n 33.5\n \n 66.5\n
\n Cleaning and\n
\n sanitation\n 		\n 48.5\n \n 51.5\n
\n Transport\n \n 36.9\n \n 13.1\n
\n Technicians and other\n
\n support workers\n 		\n 32.0\n \n 68.0\n
\nSource: ILO calculations based on the 90 countries and territories listed in table A6.\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_1", "image_path": "OChartR/img/en_1_ILO.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "▶ Figure 4.7 Public social protection expenditure (excluding health) on children\\n(percentage of GDP) and share of children aged 0 to 15 in total population (percentage),\\nby region, subregion and income level, 2023 or latest available year\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Public social protection expenditure for children\n
\n (excluding healthcare) (% of GDP)\n 		\n Share of children 0-15 in total population (%)\n
\n World\n \n 0.7\n \n 25.3\n
\n High-income\n \n 1.0\n \n 16.0\n
\n Upper-middle-income\n \n 0.4\n \n 19.7\n
\n Lower-middle-income\n \n 0.2\n \n 29.3\n
\n Low-income\n \n 0.2\n \n 42.7\n
\n Africa\n \n 0.5\n \n 40.2\n
\n Northern Africa\n \n 0.9\n \n 32.5\n
\n Sub-Saharan Africa\n \n 0.4\n \n 41.8\n
\n Americas\n \n 0.4\n \n 21.2\n
\n Latin America and the Caribbean\n \n 0.8\n \n 23.2\n
\n Northem America\n \n 0.3\n \n 17.7\n
\n Arab States\n \n 0.003\n \n 32.0\n
\n Asia and the Pacific\n \n 0.5\n \n 22.7\n
\n Eastem Asia\n \n 0.5\n \n 16.6\n
\n South-Eastem Asia and the Pacific\n \n 1.1\n \n 24.4\n
\n Southem Asia\n \n 0.05\n \n 27.0\n
\n Europe and CentralAsia\n \n 1.6\n \n 17.9\n
\n Central and Western Asia\n \n 0.5\n \n 26.6\n
\n Eastem Europe\n \n 1.8\n \n 16.6\n
\n Northem, Southem and Westem Europe\n \n 1.7\n \n 15.2\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_20", "image_path": "OChartR/img/en_20_lib.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n GPS\n \n GLONASS\n \n Compass\n \n Galileo\n
\n 97.44%\n \n 1.57%\n \n 0.40%\n \n 0.59%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_21", "image_path": "OChartR/img/en_21_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Fig. 2.4. Composition of causes of death, by WHO region, World Bank income group and global, 2000 and 2019\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n Communicable, maternal, perinatal and nutritional conditions\n
\n Percentage (%)\n 		\n Injuries\n
\n Percentage (%)\n 		\n Noncommunicable diseases\n
\n Percentage (%)\n
\n Africa\n \n 2000\n \n 68.3\n \n 7.6\n \n 24.2\n
\n 2019\n \n 52.9\n \n 9.9\n \n 37.1\n
\n Americas\n \n 2000\n \n 13.2\n \n 9.6\n \n 77.2\n
\n 2019\n \n 9,7\n \n 9.1\n \n 81.3\n
\n Eastern Mediterranean\n \n 2000\n \n 39.5\n \n 8.4\n \n 52.1\n
\n 2019\n \n 24.3\n \n 9.5\n \n 66.2\n
\n Europe\n \n 2000\n \n 5.9\n \n 7.6\n \n 86.5\n
\n 2019\n \n 5.3\n \n 5.1\n \n 89.6\n
\n South-East Asia\n \n 2000\n \n 44.5\n \n 8.8\n \n 46.7\n
\n 2019\n \n 22.6\n \n 8.8\n \n 68.6\n
\n Western Pacific\n \n 2000\n \n 11.8\n \n 9.3\n \n 78.9\n
\n 2019\n \n 6.4\n \n 6.8\n \n 86.8\n
\n LICs\n \n 2000\n \n 65.4\n \n 8\n \n 26.6\n
\n 2019\n \n 46.8\n \n 11\n \n 42.2\n
\n LMICs\n \n 2000\n \n 47.6\n \n 8.2\n \n 44.1\n
\n 2019\n \n 28.6\n \n 8.8\n \n 62.6\n
\n UMICs\n \n 2000\n \n 13.9\n \n 10.4\n \n 75.7\n
\n 2019\n \n 8.2\n \n 7.7\n \n 84.2\n
\n HICs\n \n 2000\n \n 6.6\n \n 6.1\n \n 87.3\n
\n 2019\n \n 6.6\n \n 5.6\n \n 87.8\n
\n Global\n \n 2000\n \n 30.7\n \n 8.5\n \n 60.8\n
\n 2019\n \n 18.4\n \n 8\n \n 73.6\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_22", "image_path": "OChartR/img/en_22_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 2018\n \n 2019\n
\n 1. Legislation and Financing\n \n 62\n \n 66\n
\n 2. IHR Coordination and National IHR Focal Point Functions\n \n 67\n \n 70\n
\n 3. Zoonotic events and the human-animal interface\n \n 63\n \n 67\n
\n 4. Food safety\n \n 61\n \n 64\n
\n 5. Laboratory\n \n 70\n \n 71\n
\n 6. Surveillance\n \n 71\n \n 73\n
\n 7. Human resources\n \n 63\n \n 63\n
\n 8. National Health Emergency Framework\n \n 59\n \n 62\n
\n 9. Health service provision\n \n 60\n \n 62\n
\n 10. Risk communication\n \n 57\n \n 60\n
\n Il. Points of entry\n \n 52\n \n 56\n
\n 12. Chemical events\n \n 50\n \n 54\n
\n 13. Radiation emergencies\n \n 52\n \n 55\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_23", "image_path": "OChartR/img/en_23_ILO.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "▶ Figure 3.10, panel B. Change in total wage bill during 2020 and 2021 relative to 2019,\\nselected countries (percentage)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Change in 2020 relative to 2019\n \n Change in 2021 relative to 2019\n \n Sum of changes: 2020 & 2021\n
\n Peru\n \n -26.3\n \n -26\n \n -38.8\n
\n Colombia\n \n -23.4\n \n -9.4\n \n -32.8\n
\n Bolivia (Plurinational State of)\n \n -19.8\n \n -12.4\n \n -32.2\n
\n Dominican Republic\n \n -12.3\n \n -15.2\n \n -27.5\n
\n Ecuador\n \n -15.0\n \n -11.3\n \n -26.3\n
\n Panama\n \n -18.0\n \n -8.1\n \n -26.2\n
\n Viet Nam\n \n -17.5\n \n -8.3\n \n -25.8\n
\n Costa Rica\n \n -13.9\n \n -9.4\n \n -23.3\n
\n Indonesia\n \n -5.5\n \n -9.4\n \n -14.9\n
\n Argentina\n \n -10.7\n \n -3.3\n \n -14.0\n
\n Uruguay\n \n -7.2\n \n -6.3\n \n -13.5\n
\n Philippines\n \n -8.4\n \n -4.9\n \n -13.4\n
\n Brazil\n \n -4.9\n \n -7.0\n \n -11.9\n
\n Paraguay\n \n -6.5\n \n -3.3\n \n -9.9\n
\n United States\n \n -2.5\n \n -1.0\n \n -3.5\n
\n Switzerland\n \n 2.7\n \n 1.2\n \n 3.9\n
\n Canada\n \n -0.7\n \n 4.8\n \n 4.1\n
\n Mexico\n \n -1.1\n \n 5.3\n \n 4.2\n
\n Thailand\n \n 0.9\n \n 3.5\n \n 4.4\n
\n Portugal\n \n 4.3\n \n 9.9\n \n 14.2\n
\n United Kingdom\n \n 7.0\n \n 8.5\n \n 15.6\n
\nNote: The chart shows countries with data up to the end of 2021, Countries are arranged by descending order of the\\nsum of total wage bill changes in 2020 and 2021.\n\nSource: ILO estimates. See Appendix I for the sources of survey data used in this report.\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_24", "image_path": "OChartR/img/en_24_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Progress towards UHC will be seriously constrained without improvement in the quality of health care\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Health care associated\n
\n nfecion rate\n 		\n NA\n
\n Children prescribed\n
\n antibiotics for common\n
\n cold\n 		\n NA\n
\n Antenatal care\n
\n coverage\n
\n (4 visits)\n 		\n 58%\n
\n Children with\n
\n diarrhoea received\n
\n 0RS or equivalent\n
\n advice\n 		\n 61%\n
\n TB treaimet success\n
\n rate for new and\n
\n relapse case\n 		\n 75%\n
\n Hypertensives are\n
\n treated and controlled\n 		\n 8%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_25", "image_path": "OChartR/img/en_25_sec.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n FixedPay\n \n Pension and benefits1\n \n Annual bonus\n \n LTIP\n \n Potential outcome of a 50% shareprce\n
\n increase onthe LTIP\n 		\n Total\n
\n Group Chief Executive\n \n Minimum\n \n 93%\n \n 7%\n \n 0\n \n 0\n \n 0\n \n 3.15\n
\n Mid-point\n \n 45%\n \n 3%\n \n 21%\n \n 31%\n \n 0\n \n 6.59\n
\n Maximum\n \n 29%\n \n 2%\n \n 28%\n \n 41%\n \n 0\n \n 10.02\n
\n Maximum with illustrative share price increase applied to LTIp\n \n 24%\n \n 2%\n \n 23%\n \n 34%\n \n 17%\n \n 12.08\n
\n Group Finance Director\n \n Minimum\n \n 94%\n \n 6%\n \n 0\n \n 0\n \n 0\n \n 1.96\n
\n Mid-point\n \n 46%\n \n 3%\n \n 20%\n \n 31%\n \n 0\n \n 4.02\n
\n Maximum\n \n 30%\n \n 2%\n \n 27%\n \n 41%\n \n 0\n \n 6.09\n
\n Maximum with illustrative share price increase applied to LTIp\n \n 25%\n \n 1%\n \n 23%\n \n 34%\n \n 17%\n \n 7.33\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_26", "image_path": "OChartR/img/en_26_oecd.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Electical & electronics\n \n 40%\n
\n Petroleum\n
\n products &\n
\n LNG\n 		\n 14%\n
\n Agro-food\n
\n products\n 		\n 9%\n
\n Telecomm\n
\n unications\n 		\n 4%\n
\n Misc. manufactured\n
\n articles\n 		\n 4%\n
\n Office machines\n \n 4%\n
\n Prof. &\n
\n scientific\n
\n equipment\n 		\n 4%\n
\n Non-ferrous\n
\n metals\n 		\n 3%\n
\n Organic\n
\n chemicas\n 		\n 2%\n
\n Iron & steel\n \n 2%\n
\n Other\n \n 14%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_27", "image_path": "OChartR/img/en_27_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Projected additional people (millions)\n \n 2023\n
\n Target\n
\n Healthier Populations\n \n 900m\n \n Shortfall:\n \n 100m\n \n
\n Universal Health Coverage\n \n 290m\n \n Shortfall:\n
\n 710m\n
\n Health Emergencies Protection\n \n 920m\n \n Shortfall:\n
\n 80m\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_28", "image_path": "OChartR/img/en_28_oecd.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Figure 2.1. Fuel type of reported purchase intentions\n\nLeft panel displays purchase intentions for all vehicle types. Right panel displays purchase intentions among those\\nintending to purchase an ICE vehicle.\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Gasoline\n \n Diesel\n \n LNG/CNG/LPG\n \n HEV\n \n PHEV\n \n BEV\n \n HFC\n
\n All types (sample size = 7159)\n \n 35%\n \n 7%\n \n 2%\n \n 24%\n \n 13%\n \n 15%\n \n 4%\n
\n Only ICE cars (sample size = 4855)\n \n 52%\n \n 11%\n \n 2%\n \n 35%\n \n 0\n \n 0\n \n 0\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_29", "image_path": "OChartR/img/en_29_oecd.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Age\n
\n OECD\n \n 47.78\n \n 39.23\n
\n Korea\n \n 51.22\n \n 45.48\n
\n Iceland\n \n 48.37\n \n 43.14\n
\n Japan\n \n 51.25\n \n 42.96\n
\n Norway\n \n 47.95\n \n 42.09\n
\n Spain\n \n 49.03\n \n 41.92\n
\n Luxembourg\n \n 49.89\n \n 41.72\n
\n Germany\n \n 47.32\n \n 41.55\n
\n Canada\n \n 49.38\n \n 41.07\n
\n Sweden\n \n 49.93\n \n 40.69\n
\n United States\n \n 49.58\n \n 40.60\n
\n United Kingdom\n \n 49.15\n \n 40.45\n
\n Belgium\n \n 45.73\n \n 40.27\n
\n France\n \n 45.43\n \n 40.14\n
\n Finland\n \n 48.28\n \n 40.13\n
\n Switzerland\n \n 47.36\n \n 40.10\n
\n Italy\n \n 46.56\n \n 40.10\n
\n Greece\n \n 44.63\n \n 39.90\n
\n Ireland\n \n 50.04\n \n 39.71\n
\n New Zealand\n \n 48.72\n \n 39.67\n
\n Israel\n \n 45.00\n \n 39.35\n
\n Ausrtia\n \n 46.69\n \n 39.12\n
\n Portugal\n \n 47.19\n \n 39.05\n
\n Denmark\n \n 47.65\n \n 38.88\n
\n Chile\n \n 49.29\n \n 38.60\n
\n Hungary\n \n 46.09\n \n 38.49\n
\n Turkiye\n \n 42.58\n \n 38.13\n
\n Slovenia\n \n 46.43\n \n 38.07\n
\n Czechia\n \n 47.61\n \n 37.98\n
\n Netherlands\n \n 46.55\n \n 37.82\n
\n Colombia\n \n 46.07\n \n 37.61\n
\n Slovak Republic\n \n 45.40\n \n 37.51\n
\n Poland\n \n 44.79\n \n 37.43\n
\n Estonia\n \n 48.44\n \n 36.98\n
\n Mexico\n \n 43.43\n \n 36.71\n
\n Latvia\n \n 47.39\n \n 36.32\n
\n Costa Rica\n \n 41.81\n \n 35.47\n
\n Lithuania\n \n 46.85\n \n 35.14\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_2", "image_path": "OChartR/img/en_2_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n African Region\n \n 771000\n
\n South-East Asia Region\n \n 266 000\n
\n Eastern\n
\n Mediterranean\n
\n Region\n 		\n 86 000\n
\n Western\n
\n Pacific\n
\n Region\n 		\n 83 000\n
\n European Region\n \n 18 000\n
\n Region of\n
\n the Americas\n 		\n 8 000\n
\n South-East Asia Region\n \n 225 000\n
\n Eastern\n
\n Mediterranean\n
\n Region\n 		\n 183 000\n
\n Region of the Americas\n \n 176 000\n
\n African Region\n \n 172 000\n
\n European Region\n \n 126 000\n
\n Western Pacific\n
\n Region\n 		\n 98 000\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_30", "image_path": "OChartR/img/en_30_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n 2018\n \n 2019\n \n 2020\n
\n Core capacities\n \n 1. Legislation and Financing\n \n 62\n \n 65\n \n 67\n
\n 2. IHR Coordination and\n
\n National IHR Focal\n
\n Point Functions\n 		\n 67\n \n 70\n \n 71\n
\n 3. Zoonotic events\n
\n and the human-animal\n
\n Interface\n 		\n 65\n \n 67\n \n 67\n
\n 4. Food safety\n \n 59\n \n 63\n \n 65\n
\n 5. Laboratory\n \n 69\n \n 71\n \n 74\n
\n 6. Surveillance\n \n 72\n \n 73\n \n 75\n
\n 7. Human resources\n \n 63\n \n 63\n \n 65\n
\n 8. National Health\n
\n Emergency Framework\n 		\n 58\n \n 61\n \n 65\n
\n 9. Health Service Provision\n \n 58\n \n 61\n \n 64\n
\n 10. Risk Communication\n \n 57\n \n 59\n \n 64\n
\n 11. Points of entry\n \n 53\n \n 55\n \n 57\n
\n 12. Chemical events\n \n 51\n \n 52\n \n 52\n
\n 13. Radiation emergencies\n \n 52\n \n 54\n \n 55\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_31", "image_path": "OChartR/img/en_31_oecd.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Figure 2.11. Distribution of mobilised private finance for water in Africa by country (average 2012-2020)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n USD Millions\n
\n Angola\n \n 176.6\n
\n Ghana\n \n 25.1\n
\n Côte d'Ivoire\n \n 6.9\n
\n Morocco\n \n 6.1\n
\n Kenya\n \n 2.7\n
\n Malawi\n \n 2.7\n
\n Rwanda\n \n 1.9\n
\n South Africa\n \n 1.7\n
\n Cameroon\n \n 1.2\n
\n Nigeria\n \n 0.8\n
\n Senegal\n \n 0.6\n
\n Gambia\n \n 0.5\n
\n Ethiopia\n \n 0.3\n
\n Madagascar\n \n 0.19\n
\n Mozambique\n \n 0.12\n
\n Somalia\n \n 0.10\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_32", "image_path": "OChartR/img/en_32_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Distribution of COVID-19 vaccine doses by WHO regions\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n % global cases\n
\n %\n 		\n %global deaths\n
\n %\n 		\n % global doses\n
\n %\n
\n AMR\n \n 41\n \n 48\n \n 30\n
\n EUR\n \n 34\n \n 34\n \n 24\n
\n SEAR\n \n 15\n \n 9\n \n 16\n
\n EMR\n \n 6\n \n 6\n \n 4\n
\n AFR\n \n 2\n \n 3\n \n 1\n
\n WPR\n \n 2\n \n 1\n \n 26\n
\nSource: WHO Coronavirus (COVID-19) surveillance dashboard (6).\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_33", "image_path": "OChartR/img/en_33_IEA.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "FIGURE 6.3 • RENEWABLES' SHARE IN TOTAL FINAL ENERGY CONSUMPTION IN 2022 AND UNDER IEA SCENARIOS BY 2030\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n Fossil fuels without CCUS\n \n Direct renewables\n \n Traditional use of biomass\n \n Indirect renewables\n \n Other low-carbon\n
\n 2022\n \n Electricity generation\n \n 62%\n \n 28%\n \n 0\n \n 0\n \n 10%\n
\n Buildings heat\n \n 62%\n \n 8%\n \n 25%\n \n 3%\n \n 2%\n
\n Industry heat\n \n 88%\n \n 10%\n \n 0\n \n N/A\n \n N/A\n
\n Road transport\n \n 95%\n \n 5%\n \n 0\n \n 0\n \n 0\n
\n Total Final Energy\n
\n Consumption\n 		\n 79%\n \n 6%\n \n 6%\n \n 6%\n \n 3%\n
\n 2030 STEPS\n \n Electricity generation\n \n 47%\n \n 43%\n \n 0\n \n 0\n \n 9%\n
\n Buildings heat\n \n 60%\n \n 11%\n \n 20%\n \n 7%\n \n 2%\n
\n Industry heat\n \n 82%\n \n 11%\n \n 0\n \n 6%\n \n 1%\n
\n Road transport\n \n 92%\n \n 6%\n \n 0\n \n 2%\n \n 0\n
\n Total Final Energy\n
\n Consumption\n 		\n 74%\n \n 7%\n \n 4%\n \n 12%\n \n 3%\n
\n 2030 NZE\n \n Electricity generation\n \n 29%\n \n 59%\n \n 0\n \n 0\n \n 12%\n
\n Buildings heat\n \n 58%\n \n 25%\n \n 0\n \n 14%\n \n 3%\n
\n Industry heat\n \n 67%\n \n 14%\n \n 0\n \n 14%\n \n 5%\n
\n Road transport\n \n 83%\n \n 11%\n \n 0\n \n 5%\n \n 1%\n
\n Total Final Energy\n
\n Consumption\n 		\n 63%\n \n 13%\n \n 0\n \n 19%\n \n 5%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_34", "image_path": "OChartR/img/en_34_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Extremely\n
\n overcrowded\n
\n (>5 peopleperroom)\n
\n Median (%)\n 		\n Moderately\n
\n overcrowded\n
\n (>2-5 peopleperroom)\n 		\n Uncrowded\n
\n (≤ 2people per room)\n
\n Median (%)\n
\n Physical distancing\n
\n Intentionally avoiding contact with other people all the\n
\n time or most of the time(%)\n
\n Median (%)\n 		\n 65.3%\n \n 71.2%\n \n 79.2%\n
\n Handwashing\n
\n Washing hands with soap and water or using hand\n
\n sanitizer 3+ times in the last24 hrs (%)\n 		\n 81.5%\n \n 88.7%\n \n 92.5%\n
\n Mask wearing\n
\n Wearing amask all the time or most of the time when in publicinthe last 7days (%)\n 		\n 73.5%\n \n 80.2%\n \n 86.8%\n
\nNote: Overcrowding is measured by the number of persons per room used for sleeping. The number of people per room considers rooms used for sleeping.\n\nSource: WHO calculations using COVID-19 World Symptoms Survey data.\n\nFig. 1.11. Combined data for preventive indicators: physical distancing, handwashing and wearing masks, by 'household crowding' in 35 HICs\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_35", "image_path": "OChartR/img/en_35_oecd.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Figure 3. Persons employed by age in 2018\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Percentage of total employed population\n
\n \n Low-age workers\n \n Mid-age workers\n \n High-age workers\n
\n Italy\n \n 36\n \n 52\n \n 12\n
\n Lithuania\n \n 36\n \n 46\n \n 17\n
\n Latvia\n \n 35\n \n 48\n \n 17\n
\n Portugal\n \n 34\n \n 51\n \n 15\n
\n Finland\n \n 34\n \n 45\n \n 21\n
\n Estonia\n \n 34\n \n 47\n \n 19\n
\n Sweden\n \n 33\n \n 45\n \n 22\n
\n United States\n \n 33\n \n 43\n \n 24\n
\n Bulgaria\n \n 33\n \n 53\n \n 14\n
\n Canada\n \n 33\n \n 43\n \n 24\n
\n Netherlands\n \n 32\n \n 42\n \n 26\n
\n Norway\n \n 32\n \n 45\n \n 23\n
\n Spain\n \n 31\n \n 55\n \n 14\n
\n Greece\n \n 31\n \n 56\n \n 13\n
\n France\n \n 31\n \n 50\n \n 19\n
\n Belgium\n \n 30\n \n 51\n \n 19\n
\n United Kingdom\n \n 30\n \n 47\n \n 23\n
\n Hungary\n \n 29\n \n 54\n \n 17\n
\n Slovak Republic\n \n 28\n \n 54\n \n 17\n
\n Romania\n \n 28\n \n 56\n \n 16\n
\n Poland\n \n 27\n \n 54\n \n 19\n
\nSource: Authors estimates based on EU-LFS, EU-SES, STATCAN LFS, CPS and OECD Productivity Statistics (database).\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_36", "image_path": "OChartR/img/en_36_sec.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Assets Entrusted to Us by Our Clients\n\n2005-2023\n\nDeposits and client \\[assets^{1}\\]\n\n($ in billions)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Client assets\n \n Wholesale deposits\n \n Consumer deposits\n
\n 2005\n \n $1,107\n \n $364\n \n $191\n
\n 2006\n \n $1,296\n \n $425\n \n $214\n
\n 2007\n \n $1,513\n \n $520\n \n $221\n
\n 2008\n \n $1,415\n \n $648\n \n $361\n
\n 2009\n \n $1,743\n \n $573\n \n $365\n
\n 2010\n \n $1,881\n \n $558\n \n $372\n
\n 2011\n \n $1,883\n \n $730\n \n $398\n
\n 2012\n \n $2,061\n \n $755\n \n $439\n
\n 2013\n \n $2,329\n \n $824\n \n $464\n
\n 2014\n \n $2,376\n \n $861\n \n $503\n
\n 2015\n \n $2,353\n \n $722\n \n $558\n
\n 2016\n \n $2,427\n \n $757\n \n $618\n
\n 2017\n \n $2,783\n \n $784\n \n $660\n
\n 2018\n \n $2,740\n \n $792\n \n $679\n
\n 2019\n \n $3,258\n \n $844\n \n $718\n
\n 2020\n \n $3,781\n \n $1,186\n \n $959\n
\n 2021\n \n $4,488\n \n $1,314\n \n $1,148\n
\n 2022\n \n $4,240\n \n $1,209\n \n $1,132\n
\n 2023\n \n $5,292\n \n $1,306\n \n $1,095\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_37", "image_path": "OChartR/img/en_37_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n \n Number of years\n
\n \n \n Year\n \n Lost HALE\n \n HALE\n
\n Male\n \n AFR\n \n 2000\n \n 6\n \n 45\n
\n 2005\n \n 6.3\n \n 47.6\n
\n 2010\n \n 6.7\n \n 51\n
\n 2015\n \n 7.1\n \n 53.4\n
\n 2019\n \n 7.4\n \n 55\n
\n AMR\n \n 2000\n \n 8.6\n \n 62.5\n
\n 2005\n \n 9\n \n 63.5\n
\n 2010\n \n 9.1\n \n 63.4\n
\n 2015\n \n 9.4\n \n 64.6\n
\n 2019\n \n 9.7\n \n 64.8\n
\n EMR\n \n 2000\n \n 7.2\n \n 56.3\n
\n 2005\n \n 7.4\n \n 57\n
\n 2010\n \n 7.6\n \n 58.4\n
\n 2015\n \n 7.8\n \n 59\n
\n 2019\n \n 8.1\n \n 60.2\n
\n EUR\n \n 2000\n \n 7.5\n \n 61\n
\n 2005\n \n 7.6\n \n 62\n
\n 2010\n \n 8\n \n 64.2\n
\n 2015\n \n 8.2\n \n 65.6\n
\n 2019\n \n 8.5\n \n 66.6\n
\n SEAR\n \n 2000\n \n 7.8\n \n 54.4\n
\n 2005\n \n 8.2\n \n 56.4\n
\n 2010\n \n 8.3\n \n 58.1\n
\n 2015\n \n 8.6\n \n 60.1\n
\n 2019\n \n 8.8\n \n 61.1\n
\n WPR\n \n 2000\n \n 6.9\n \n 62.9\n
\n 2005\n \n 7\n \n 63.9\n
\n 2010\n \n 7.2\n \n 65.4\n
\n 2015\n \n 7.5\n \n 66.5\n
\n 2019\n \n 7.7\n \n 67\n
\n Global\n \n 2000\n \n 7.3\n \n 57.1\n
\n 2005\n \n 7.5\n \n 58.5\n
\n 2010\n \n 7.7\n \n 60.2\n
\n 2015\n \n 8.1\n \n 61.7\n
\n 2019\n \n 8.3\n \n 62.5\n
\n Female\n \n AFR\n \n 2000\n \n 7.7\n \n 46.6\n
\n 2005\n \n 8\n \n 48.8\n
\n 2010\n \n 8.7\n \n 52.6\n
\n 2015\n \n 9.2\n \n 55.5\n
\n 2019\n \n 9.6\n \n 57.1\n
\n AMR\n \n 2000\n \n 11.4\n \n 65.7\n
\n 2005\n \n 11.7\n \n 66.4\n
\n 2010\n \n 11.8\n \n 66.6\n
\n 2015\n \n 12.1\n \n 67.4\n
\n 2019\n \n 12.3\n \n 67.5\n
\n EMR\n \n 2000\n \n 9.7\n \n 57\n
\n 2005\n \n 9.9\n \n 57.8\n
\n 2010\n \n 10.2\n \n 59.1\n
\n 2015\n \n 10.3\n \n 59.8\n
\n 2019\n \n 10.6\n \n 60.7\n
\n EUR\n \n 2000\n \n 10.3\n \n 66.4\n
\n 2005\n \n 10.4\n \n 67.2\n
\n 2010\n \n 10.8\n \n 68.5\n
\n 2015\n \n 11\n \n 69.3\n
\n 2019\n \n 11.3\n \n 70\n
\n SEAR\n \n 2000\n \n 9.8\n \n 54.7\n
\n 2005\n \n 10.3\n \n 57.1\n
\n 2010\n \n 10.7\n \n 59.3\n
\n 2015\n \n 10.9\n \n 60.8\n
\n 2019\n \n 11.2\n \n 61.9\n
\n WPR\n \n 2000\n \n 9.5\n \n 65.8\n
\n 2005\n \n 9.7\n \n 67\n
\n 2010\n \n 10\n \n 68.8\n
\n 2015\n \n 10.4\n \n 69.9\n
\n 2019\n \n 10.6\n \n 70.2\n
\n Global\n \n 2000\n \n 9.7\n \n 59.6\n
\n 2005\n \n 10\n \n 61\n
\n 2010\n \n 10.3\n \n 62.9\n
\n 2015\n \n 10.7\n \n 64.2\n
\n 2019\n \n 11\n \n 64.9\n
\nFig. 2.1. Life expectancy and healthy life expectancy, by sex, global and WHO region, 2000-2019\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_38", "image_path": "OChartR/img/en_38_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Sustainable Development Goal group\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Deaths per 1000 llve births\n
\n \n Neonatal mortality rate\n \n Under-five mortality rate\n
\n Sub-Saharan Africa\n \n 27\n \n 76\n
\n Northern Africaand\n
\n Western Asia\n 		\n 14\n \n 26\n
\n Central and Southern\n
\n Asia\n 		\n 24\n \n 38\n
\n Eastern and South-\n
\n Eastern Asia\n 		\n 7\n \n 14\n
\n Latin America and the\n
\n Carbbean\n 		\n 9\n \n 16\n
\n Oceania\n \n 10\n \n 20\n
\n Europe and Northem\n
\n America\n 		\n 3\n \n 5\n
\nSource: Levels and trends in child mortality: Report 2020. Estimates developed by the United Nations Inter-agency Group for Child Mortality Estimation (2).\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_39", "image_path": "OChartR/img/en_39_oecd.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Figure A B.2. CoGs are crucial for the development of a long-term vision for the country\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n CoG leads\n \n Shared lead\n \n Vares greatly\n \n Line Ministry leads\n
\n Development of strategic doauments, plans and instruments\n \n 8%\n \n 38%\n \n 15%\n \n 38%\n
\n Implementation of selected strategic documents plans and instruments\n
\n (e.g. cross-cutting priorities)\n 		\n 12%\n \n 19%\n \n 12%\n \n 54%\n
\n Undertaking futures thinking, foresight or modelling\n \n 19%\n \n 35%\n \n 27%\n \n 12%\n
\n Promoting accountability for the delivery of strategic priorities for\n
\n government (eg. through a man date letter)\n 		\n 31%\n \n 23%\n \n 12%\n \n 8%\n
\n Coordination of the development of strategic documents, plans and\n
\n instruments\n 		\n 35%\n \n 31%\n \n 19%\n \n 15%\n
\n Ensuring alignment of strategic priorities for gov emment and/or\n
\n documents with the public administration's performance framework\n 		\n 35%\n \n 31%\n \n 12%\n \n 15%\n
\n Mandating line departments to develop strategic plans in different cross-\n
\n cutting areas\n 		\n 38%\n \n 12%\n \n 19%\n \n 12%\n
\n Setting standards, requirements, or guidance for line ministries or\n
\n agencies\n 		\n 42%\n \n 31%\n \n 15%\n \n 12%\n
\n Identification and setting policy priorities for government\n \n 58%\n \n 38%\n \n 4%\n \n 0\n
\n Formulating long-term vision for government\n \n 69%\n \n 12%\n \n 12%\n \n 8%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_3", "image_path": "OChartR/img/en_3_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Figure 2.1 Percentage change in the number of new HIV infections per 1000 uninfected population, \\[^{a}\\]2015-2022,\\nand number of new HIV infections, 2022, globally and by WHO region\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Percentage change in Hlvincidencerate(2015-2022)\n \n Number of new\n
\n HIV infections\n
\n (thousands),\n
\n 2022\n
\n African Region\n \n -53%\n \n 660\n
\n Global\n \n -32%\n \n 1 300\n
\n South-East Asia Region\n \n -31%\n \n 110\n
\n Region of the Americas\n \n -7%\n \n 160\n
\n Western Pacific Region\n \n 7%\n \n 140\n
\n European Region\n \n 10%\n \n 180\n
\n Easter Mediterranean\n
\n Region\n 		\n 45%\n \n 56\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_40", "image_path": "OChartR/img/en_40_sec.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "SELECT FINANCIAL HIGHLIGHTS\n\n($ in billions)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n TOTAL PAYMENTS REVENUE\\[^{1}\\]\n \n MIDDLE MARKET EXPANSION\n \n TOTAL REVENUE\n \n NET INCOME\n
\n 2021\n \n $3.7\n \n $1.2\n \n $10.0\n \n $5.2\n
\n 2022\n \n $5.7\n \n $1.5\n \n $11.5\n \n $4.2\n
\n 2023\n \n $8.3\n \n $2.2\n \n $15.5\n \n $6.1\n
\n\\[^{1}\\]In the third quarter of 2023, certain revenue from CIB Markets products\\nwas reclassified from Payments to Investment Banking. Prior period\\namounts have been revised to conform with current presentation.\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_41", "image_path": "OChartR/img/en_41_wb.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Hypothetical increase in NPL ratio (pp)\n
\n \n AII EMDEs\n
\n Percent of banks\n 		\n High and upper-middle-income\n
\n EMDES\n
\n Percent of banks\n 		\n Low and lower-middle-income\n
\n EMDES\n
\n Percent of banks\n
\n 5\n \n 6\n \n 3\n \n 20\n
\n 10\n \n 16\n \n 13\n \n 28\n
\n 15\n \n 17\n \n 16\n \n 19\n
\n 20\n \n 13\n \n 14\n \n 10\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_42", "image_path": "OChartR/img/en_42_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "b)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Nigeria\n \n 23%\n
\n Democratic Republic of the Congo\n \n 11%\n
\n United Republic of Tanzania\n \n 5%\n
\n Niger\n \n 4%\n
\n Mozambique\n \n 4%\n
\n Burkinac Faso\n \n 4%\n
\n Angola\n \n 3%\n
\n Uganda\n \n 3%\n
\n Kenya\n \n 3%\n
\n Mali\n \n 3%\n
\n Cameroon\n \n 3%\n
\n Ghana\n \n 3%\n
\n Côte d'Ivoire\n \n 2%\n
\n Chad\n \n 2%\n
\n Guinea\n \n 2%\n
\n Zambia\n \n 2%\n
\n India\n \n 2%\n
\n Benin\n \n 2%\n
\n Sierra Leone\n \n 2%\n
\n Malawi\n \n 2%\n
\n Ethiopia\n \n 1%\n
\n Sudan\n \n 1%\n
\n South Sudan\n \n 1%\n
\n Burundi\n \n 1%\n
\n Togo\n \n 1%\n
\n Madagascar\n \n 1%\n
\n Senegal\n \n 1%\n
\n Central African Republic\n \n 1%\n
\n Rwanda\n \n 1%\n
\n Papua New Guinea\n \n 1%\n
\n Indonesia\n \n 1%\n
\nSource: World malaria report 2020 (18).\n\nFig. 2.10. b) Global distribution of malaria deaths, by country, 2019\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_43", "image_path": "OChartR/img/en_43_sec.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "The Firm's Basel Ill Standardized\\nCET1 capital ratio as of\\nDecember 31, 2023: 15.0%\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n Capital conservation\n
\n buffer incl.GSIB & sCB\n 		\n Fixed capital\n
\n conservation buffer\n 		\n Stress capital buffer\n \n GSIB surcharge\n \n Minimum requirement\n
\n 4Q22\n \n Standardized\n \n 12.00%\n \n 4.00%\n \n 0.00%\n \n 3.50%\n \n 4.50%\n
\n Advanced\n \n 10.50%\n \n 0.00%\n \n 2.50%\n \n 3.50%\n \n 4.51%\n
\n 1Q23\n \n Standardized\n \n 12.50%\n \n 4.00%\n \n 0%\n \n 4.00%\n \n 4.52%\n
\n Advanced\n \n 11.00%\n \n 0.00%\n \n 2.50%\n \n 4.00%\n \n 4.53%\n
\n 4Q23\n \n Standardized\n \n 11.40%\n \n 2.90%\n \n 0.00%\n \n 4.00%\n \n 4.54%\n
\n Advanced\n \n 11.00%\n \n 0.00%\n \n 2.50%\n \n 4.00%\n \n 4.55%\n
\n 1Q24\n \n Standardized\n \n 11.90%\n \n 2.90%\n \n 0.00%\n \n 4.50%\n \n 4.56%\n
\n Advanced\n \n 11.50%\n \n 0.00%\n \n 2.50%\n \n 4.50%\n \n 4.57%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_44", "image_path": "OChartR/img/en_44_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n A\n
\n Change in ASR (%)\n 		\n B\n
\n Change in ASR (%)\n 		\n C\n
\n Change in ASR (%)\n 		\n D\n
\n Change in ASR (%)\n 		\n E\n
\n Change in ASR (%)\n
\n Cardiovascular diseases\n \n -15.4\n \n -18.9\n \n -27.7\n \n -43.4\n \n -27.4\n
\n Diabetes mellitus\n \n -13.5\n \n 12.8\n \n 3.4\n \n -18.9\n \n 3.3\n
\n Malignant neoplasms\n \n -2.9\n \n -5.1\n \n -17.2\n \n -23.4\n \n -16.4\n
\n Respiratory diseases\n \n -26.1\n \n -26\n \n -54.1\n \n -15.8\n \n -36.5\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_45", "image_path": "OChartR/img/en_45_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n People living with HIV who know their status\n
\n Percentage (%)\n 		\n People living with HlV who are on treatment\n
\n Percentage (%)\n 		\n People living with HlV who are virally suppressed\n
\n Percentage (%)\n
\n African Region\n \n 88\n \n 78\n \n 72\n
\n Region of the\n
\n Americas\n 		\n 85\n \n 74\n \n 66\n
\n Eastern\n
\n Mediterranean\n
\n Region\n 		\n 41\n \n 27\n \n 24\n
\n European\n
\n Region\n 		\n 73\n \n 63\n \n 60\n
\n South-East Asia\n
\n Region\n 		\n 74\n \n 63\n \n 55\n
\n Western Pacific\n
\n Region\n 		\n 88\n \n 79\n \n 76\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_46", "image_path": "OChartR/img/en_46_sec.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Deferral rate in %\n \n Deferred Compensation\n \n Upfront Cash\n
\n 2014\n \n 52%\n \n 1.4\n \n 1.3\n
\n 2015\n \n 49%\n \n 1.2\n \n 1.2\n
\n 2016\n \n 28%\n \n 0.1\n \n 0.4\n
\n 2017\n \n 42%\n \n 0.9\n \n 1.3\n
\n 2018\n \n 37%\n \n 0.7\n \n 1.2\n
\n 2019\n \n 36%\n \n 0.6\n \n 1.0\n
\n 2020\n \n 47%\n \n 0.9\n \n 1.0\n
\n 2021\n \n 48%\n \n 1.0\n \n 1.1\n
\n 2022\n \n 45%\n \n 1.0\n \n 1.2\n
\n 2023\n \n 43%\n \n 0.1\n \n 1.1\n
\nDue to rounding, numbers presented may not add up precisely to the totals.\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_47", "image_path": "OChartR/img/en_47_wb.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "FIGURE 2.1 Debt Levels Are Rising While Domestic Investors Are Gaining Significance,\\nParticularly in Low-Income Contexts\n\nShare of sovereign debt to GDP by sovereign investor types and income group (percent of\\nGDP)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Increase in domestic bank holdings of government debt\n \n \n Domestic banks\n
\n Percent\n 		\n Domestic other\n
\n Percent\n 		\n Foreignofficial\n
\n Percent\n 		\n Foreign private\n
\n Percent\n
\n High-and upper-middle-income\n
\n EMDES\n
\n 		\n 2012\n \n 8\n \n 15\n \n 15\n \n 7\n
\n 2019\n \n 9\n \n 15\n \n 13\n \n 10\n
\n 2022\n \n 12\n \n 17\n \n 14\n \n 10\n
\n Lower-middle-income\n
\n EMDES\n 		\n 2012\n \n 7\n \n 10\n \n 18\n \n 2\n
\n 2019\n \n 9\n \n 13\n \n 22\n \n 7\n
\n 2022\n \n 10\n \n 16\n \n 24\n \n 6\n
\n Low-income EMDEs\n \n 2012\n \n 3\n \n 15\n \n 17\n \n 0\n
\n 2019\n \n 8\n \n 28\n \n 27\n \n 2\n
\n 2022\n \n 9\n \n 25\n \n 27\n \n 3\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_48", "image_path": "OChartR/img/en_48_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n \n 2000\n
\n Deaths per 100 000 population\n 		\n 2019\n
\n Deaths per 100 000 population\n
\n Interpersonal violence\n \n Both Sexes\n \n LICs\n \n 10.1\n \n 8.6\n
\n LMICs\n \n 6.7\n \n 5.4\n
\n UMICs\n \n 10.6\n \n 8\n
\n HICs\n \n 2.9\n \n 2.4\n
\n Global\n \n 7.9\n \n 6.2\n
\n Female\n \n LICs\n \n 4.6\n \n 4\n
\n LMICs\n \n 3.4\n \n 2.6\n
\n UMICs\n \n 3.9\n \n 2.5\n
\n HICs\n \n 1.6\n \n 1.1\n
\n Global\n \n 3.4\n \n 2.5\n
\n Male\n \n LICs\n \n 15.7\n \n 13.2\n
\n LMICs\n \n 9.9\n \n 8.1\n
\n UMICs\n \n 17.2\n \n 13.4\n
\n HICs\n \n 4.4\n \n 3.7\n
\n Global\n \n 12.3\n \n 9.9\n
\n Road injury\n \n Both Sexes\n \n LICs\n \n 27.5\n \n 28.3\n
\n LMICs\n \n 17.9\n \n 17.3\n
\n UMICs\n \n 21\n \n 16.8\n
\n HICs\n \n 14\n \n 8.4\n
\n Global\n \n 19.1\n \n 16.7\n
\n Female\n \n LICs\n \n 17.9\n \n 17\n
\n LMICs\n \n 9.7\n \n 8.9\n
\n UMICs\n \n 11.1\n \n 7.9\n
\n HICs\n \n 7.7\n \n 4.4\n
\n Global\n \n 10.4\n \n 8.5\n
\n Male\n \n LICs\n \n 37.3\n \n 39.8\n
\n LMICs\n \n 25.7\n \n 25.5\n
\n UMICs\n \n 30.7\n \n 25.7\n
\n HICs\n \n 20.5\n \n 12.4\n
\n Global\n \n 27.6\n \n 24.8\n
\n Self-harm\n \n Both Sexes\n \n LICs\n \n 8\n \n 6.1\n
\n LMICs\n \n 12.6\n \n 9.2\n
\n UMICs\n \n 13.6\n \n 8.1\n
\n HICs\n \n 14\n \n 13.3\n
\n Global\n \n 13\n \n 9.2\n
\n Female\n \n LICs\n \n 4.9\n \n 3.4\n
\n LMICs\n \n 10.1\n \n 6.7\n
\n UMICs\n \n 10\n \n 4.7\n
\n HICs\n \n 6.9\n \n 6.8\n
\n Global\n \n 9.2\n \n 5.7\n
\n Male\n \n LICs\n \n 11.1\n \n 8.8\n
\n LMICs\n \n 15\n \n 11.7\n
\n UMICs\n \n 17.2\n \n 11.3\n
\n HICs\n \n 21.2\n \n 19.9\n
\n Global\n \n 16.7\n \n 12.6\n
\n Unintentional poisonings\n \n Both Sexes\n \n LICs\n \n 3.5\n \n 2.3\n
\n LMICs\n \n 1.4\n \n 0.9\n
\n UMICs\n \n 1.7\n \n 1.3\n
\n HICs\n \n 0.5\n \n 0.4\n
\n Global\n \n 1.5\n \n 1.1\n
\n Female\n \n LICs\n \n 2.4\n \n 1.7\n
\n LMICs\n \n 1\n \n 0.7\n
\n UMICs\n \n 1.2\n \n 1\n
\n HICs\n \n 0.3\n \n 0.3\n
\n Global\n \n 1.1\n \n 0.8\n
\n Male\n \n LICs\n \n 4.6\n \n 3\n
\n LMICs\n \n 1.7\n \n 1.1\n
\n UMICs\n \n 2.3\n \n 1.6\n
\n HICs\n \n 0.7\n \n 0.5\n
\n Global\n \n 2\n \n 1.4\n
\nSource: WHO Global Health Estimates, 2019 (1).\n\nFig. 2.14. Crude death rate for all ages combined by injury type, by sex, 2000 and 2019\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_49", "image_path": "OChartR/img/en_49_sec.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Gender diversity data\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Male\n \n Female\n
\n Holdings\n
\n Board\n 		\n 53%\n \n 47%\n
\n Group\n
\n Executives\n 		\n 79%\n \n 21%\n
\n Combined\n
\n Group\n
\n Executives and\n
\n direct reports\\[^{1}\\]\n 		\n 66%\n \n 34%\n
\n Subsidiary\n
\n directors\\[^{2}\\]\n 		\n 65%\n \n 35%\n
\n Senior\n
\n leadership\\[^{3}\\]\n 		\n 66%\n \n 34%\n
\n Middle\n
\n management\\[^{3}\\]\n 		\n 62%\n \n 38%\n
\n Junior\n
\n management\\[^{3}\\]\n 		\n 51%\n \n 49%\n
\n All employees\n \n 48%\n \n 52%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_4", "image_path": "OChartR/img/en_4_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Figure 3.2 Probability of survival to 60 years of age, WHO regions and global, 1950-2048\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Probability of survival to 60 years (%)\n
\n \n 1950\n \n 2000\n \n 2019\n \n 2020\n \n 2048\n
\n African Region\n \n 34.1\n \n 51\n \n 70.4\n \n 65\n \n 74.1\n
\n Americas\n \n 59.9\n \n 84\n \n 87\n \n 84.4\n \n 91.4\n
\n Eastern Mediterranean Region\n \n 33.9\n \n 72.5\n \n 79.6\n \n 80\n \n 85.4\n
\n European Region\n \n 68.4\n \n 81.7\n \n 88.8\n \n 87.8\n \n 92.9\n
\n South-East Asia Region\n \n 35.9\n \n 70.8\n \n 81.3\n \n 80\n \n 88.3\n
\n Western Pacifc\n \n 40.6\n \n 83.7\n \n 89.7\n \n 90.2\n \n 93.6\n
\n Western Pacifc\n \n 46\n \n 74.8\n \n 83.1\n \n 81.4\n \n 86.2\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_5", "image_path": "OChartR/img/en_5_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Nigeria\n \n 26.6%\n
\n Democratic Republic of the Congo\n \n 12.3%\n
\n Uganda\n \n 5.1%\n
\n Mozambique\n \n 4.1%\n
\n Angola\n \n 3.4%\n
\n Burkina Faso\n \n 3.3%\n
\n Niger\n \n 3.2%\n
\n United Republic of Tanzania\n \n 3.1%\n
\n Mal\n \n 3.1%\n
\n Côte d'Ivoire\n \n 3.0%\n
\n Cameroon\n \n 2.7%\n
\n Ghana\n \n 2.2%\n
\n Benin\n \n 2.0%\n
\n Guinea\n \n 1.8%\n
\n Malawi\n \n 1.7%\n
\n Ethiopia\n \n 1.7%\n
\n India\n \n 1.7%\n
\n Madagascar\n \n 1.6%\n
\n Burundi\n \n 1.5%\n
\n Zambia\n \n 1.4%\n
\n Chad\n \n 1.4%\n
\n Kenya\n \n 1.3%\n
\n Sudan\n \n 1.3%\n
\n South Sudan\n \n 1.2%\n
\n Rwanda\n \n 1.2%\n
\n Sierra Leone\n \n 1.1%\n
\n Togo\n \n 0.8%\n
\n Liberia\n \n 0.8%\n
\n Central African Republic\n \n 0.79%\n
\n Others\n \n 4.4%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_6", "image_path": "OChartR/img/en_6_sec.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "NEO CAP versus Net Income & Non-GAAP Operating Income\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n CEO CAP\n
\n CAP($M)\n 		\n Other NEOs Average CAP\n
\n CAP($M)\n 		\n Net Income\n
\n Net Income & Non-GAAP Operating Income ($M)\n 		\n Non-GAAP Operating Income\n
\n Net Income & Non-GAAP Operating Income ($M)\n
\n Fiscal 2021\n \n $79.6\n \n $27.9\n \n $6,803\n \n $4,332\n
\n Fiscal 2022\n \n $105.5\n \n $38.5\n \n $12,690\n \n $9,752\n
\n Fiscal 2023\n \n ($4.1)\n \n ($1.4)\n \n $9,040\n \n $4,368\n
\n Fiscal 2024\n \n $234.1\n \n $85.6\n \n $37,134\n \n $29,760\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_7", "image_path": "OChartR/img/en_7_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Figure 1.13 Total excess deaths by WHO region, 1 January 2020 to 31 December 2021\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Reported COVID-19\n
\n Deaths (inmillions)\n 		\n Excess deaths not captured in reported COViD-19 deaths\n
\n Deaths (inmillions)\n
\n African Region\n \n 0.2\n \n 0.8(UI 0.5-1.1)\n
\n Region of the\n
\n Americas\n 		\n 2.4\n \n 3.2(UI 3.2-3.3)\n
\n Eastern\n
\n Mediterranean\n
\n Region\n 		\n 0.3\n \n 13(UI 1.1-1.5)\n
\n European\n
\n Region\n 		\n 1.7\n \n 32(UI 3.1-3.2)\n
\n South-East Asia\n
\n Region\n 		\n 0.7\n \n 6.1(UI 4.7-78)\n
\n Western Pacific\n
\n Region\n 		\n 0.2\n \n 0.2(UI 0-0.4)\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_8", "image_path": "OChartR/img/en_8_sec.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n SY PSUs\n \n MY PSUs\n \n RSUs\n \n Variable Cash\n \n Base Salary\n
\n CEO Fiscal 2024 Target Pay Mix(1)\n \n 44%\n \n 44%\n \n 0\n \n 8%\n \n 4%\n
\n Other NEO Fiscal 2024 Target Pay Mix(1)(2)\n \n 49%\n \n 4%\n \n 35%\n \n 3%\n \n 8%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_en_9", "image_path": "OChartR/img/en_9_who.jpeg", "prompt": "Please organize the data from the chart into tabular form and output it in HTML format. Use '
' for the line break symbol in the text. Text outside the chart is output in plain text.", "answer": "Fig. A1.2. Average percentage of countries reporting disruptions for\\nspecific services, by service delivery setting, May to November 2021\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Percentage of countries\n
\n \n 5-25% disrupted\n \n 26-50% disrupted\n \n More than 50% disrupted\n
\n AVERAGE DISRUPTION OF PRIMARY CARE\n \n 23\n \n 13\n \n 13\n
\n Routine scheduled primary care clnicservices(n=33)\n \n 21\n \n 15\n \n 15\n
\n Unscheduled primary care clinic services(n=31)\n \n 26\n \n 13\n \n 13\n
\n Prescription renewals for chronic medications(n=34)\n \n 21\n \n 12\n \n 12\n
\n AVERAGE DISRUPTION OF EMERGENCY CRITICAL AND OPERATIVE CARE\n \n 22\n \n 8\n \n 13\n
\n Electivesurgeries(n=28)\n \n 32\n \n 7\n \n 14\n
\n Ambulance services(n=32)\n \n 19\n \n 9\n \n 16\n
\n Emergencysurgeries(n=32)\n \n 25\n \n 3\n \n 9\n
\n 24-hour emergency room/unit services(n=34)\n \n 12\n \n 12\n \n 12\n
\n AVERAGE DISRUPTION OF REHABILITATIVE AND PALLIATIVE CARE\n \n 28\n \n 5\n \n 14\n
\n Palliative services(n=27)\n \n 33\n \n 4\n \n 11\n
\n Rehabilitative services(n=30)\n \n 23\n \n 7\n \n 17\n
\n AVERAGE DISRUPTION OF COMMUNITY CARE\n \n 24\n \n 9\n \n 17\n
\n Outreach services(n=28)\n \n 25\n \n 7\n \n 18\n
\n Health post and home visits by CHWs(n=30)\n \n 23\n \n 10\n \n 17\n
\n Appointments with specialists(n=30)\n \n 17\n \n 20\n \n 17\n
\n Hospital inpatient services(n=34)\n \n 21\n \n 9\n \n 12\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_0", "image_path": "OChartR/img/zh_0_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 广东\n \n 北京\n \n 上海\n \n 浙江\n \n 江苏\n
\n 31%\n \n 32%\n \n 19%\n \n 6%\n \n 12%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_10", "image_path": "OChartR/img/zh_10_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 测试成绩（百分制）\n
\n 一\n \n 60\n
\n 二\n \n 55\n
\n 三\n \n 45\n
\n 四\n \n 65\n
\n 五\n \n 70\n
\n 六\n \n 80\n
\n 七\n \n 85\n
\n 八\n \n 80\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_11", "image_path": "OChartR/img/zh_11_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 吸收\n \n 释放\n
\n 12:00\n \n 50\n \n 0\n
\n 16:00\n \n 65\n \n 0\n
\n 18:00\n \n 0\n \n 0\n
\n 19:00\n \n 0\n \n 12\n
\n 5:00\n \n 0\n \n 12\n
\n 6:00\n \n 0\n \n 0\n
\n 9:00\n \n 75\n \n 0\n
\n 12:00\n \n 65\n \n 0\n
\n第34题图\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_12", "image_path": "OChartR/img/zh_12_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 浙江\n \n 38.39%\n
\n 河北\n \n 0.89%\n
\n 辽宁\n \n 1.79%\n
\n 江苏\n \n 1.79%\n
\n 天津\n \n 1.79%\n
\n 湖北\n \n 2.68%\n
\n 上海\n \n 3.57%\n
\n 河南\n \n 6.25%\n
\n 海南\n \n 7.14%\n
\n 北京\n \n 7.14%\n
\n 广东\n \n 18.75%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_13", "image_path": "OChartR/img/zh_13_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 点击数\n
\n “培训课程设计与开发”\n \n 135\n
\n “教育技术学研究方法”\n \n 393\n
\n “教育管理与绩效技术”\n \n 322\n
\n “教学设计原理与方法”\n \n 341\n
\n 综合实践\n \n 434\n
\n 课程群简介\n \n 189\n
\n 课程地图\n \n 154\n
\n 帮助中心\n \n 90\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_14", "image_path": "OChartR/img/zh_14_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "图0.7 岗位流失对在内陆工作的低技术男性劳动力影响更大，而增加的岗位更可能是沿海地区城市\\n的技术型工作\n\nCGE NZP 情景下，相对于2018年，流失与增加岗位的分布，假设岗位特征不变\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n a）收缩行业的工人特征（相对于2018年的百分比变化）\n \n b）扩张行业的工人特征（相对2018年的百分比变化）\n
\n 性别\n \n 男\n \n 63.9\n \n 58.3\n
\n 女\n \n 36.1\n \n 41.7\n
\n 城市/农村\n \n 城市\n \n 51.8\n \n 75.6\n
\n 农村\n \n 48.2\n \n 24.4\n
\n 地区\n \n 沿海\n \n 41.6\n \n 43.1\n
\n 内陆\n \n 58.4\n \n 56.9\n
\n 技术性\n \n 技术\n \n 7.5\n \n 35.0\n
\n 半技术\n \n 15.3\n \n 22.8\n
\n 无技术\n \n 77.2\n \n 42.2\n
\n来源与注释：世界银行的计算，CGE 模型对2030年相对于2018年的分析结果，并结合基于2018年中国家庭追\\n踪调查的家庭调查数据得出的平均行业特征。行业特征保持在2018年的水平。\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_15", "image_path": "OChartR/img/zh_15_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n \n 累积FDI流出量的比例（百分比）\n
\n 中东和北非地区\n \n 第一产业\n \n 煤炭、石油和天然气\n \n 20.7\n
\n 其他第一产业\n \n 4.5\n
\n 制造业\n \n 化工\n \n 9.2\n
\n 其他制造业\n \n 7.8\n
\n 塑料\n \n 7.8\n
\n 建筑与建材\n \n 7.2\n
\n 食品和烟草\n \n 4.5\n
\n 服务业\n \n 其他服务业\n \n 11.0\n
\n 通信\n \n 9.3\n
\n 金融服务\n \n 9.1\n
\n 房地产\n \n 8.9\n
\n 南亚地区\n \n 第一产业\n \n 煤炭、石油和天然气\n \n 24.4\n
\n 金属\n \n 8.3\n
\n 其他第一产业\n \n 0.4\n
\n 制造业\n \n 其他制造业\n \n 19.0\n
\n 化工\n \n 7.3\n
\n 汽车代工\n \n 4.4\n
\n 服务业\n \n 其他服务业\n \n 12.1\n
\n 通信\n \n 7.3\n
\n 金融服务\n \n 5.9\n
\n 软件和IT服务\n \n 5.9\n
\n 房地产\n \n 5.0\n
\n 撒哈拉以南非洲地区\n \n 第一产业\n \n 煤炭、石油和天然气\n \n 27.8\n
\n 金属\n \n 11.6\n
\n 其他第一产业\n \n 2.0\n
\n 制造业\n \n 其他制造业\n \n 11.2\n
\n 建筑与建材\n \n 4.8\n
\n 食品和烟草\n \n 2.9\n
\n 服务业\n \n 通信\n \n 11.8\n
\n 金融服务\n \n 10.1\n
\n 其他服务业\n \n 9.6\n
\n 房地产\n \n 5.7\n
\n 医疗\n \n 2.4\n
\n图 4C.1 发展中国家 ORDI 在不同产业中的分布（续）\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_16", "image_path": "OChartR/img/zh_16_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 撒哈拉以南非洲\n \n 386亿美元\n
\n 欧洲和中亚\n \n 362亿美元\n
\n 南亚\n \n 154亿美元\n
\n 东亚和太平洋\n \n 130亿美元\n
\n 拉美和加勒比\n \n 182亿美元\n
\n 中东和北非\n \n 68亿美元\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_17", "image_path": "OChartR/img/zh_17_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n 并购\n \n 绿地\n
\n \n \n 发达国家\n \n 发展中国家\n \n 发达国家\n \n 发展中国家\n
\n 第一产业\n \n 煤炭、石油和天然气\n \n 37\n \n 36\n \n 63\n \n 64\n
\n 金属\n \n 46\n \n 50\n \n 54\n \n 50\n
\n 矿产\n \n 40\n \n 62\n \n 60\n \n 38\n
\n 制造业\n \n 航空航天\n \n 38\n \n 16\n \n 62\n \n 84\n
\n 汽车零部件\n \n 39\n \n 56\n \n 61\n \n 44\n
\n 汽车代工\n \n 0\n \n 0\n \n 100\n \n 100\n
\n 饮料\n \n 87\n \n 85\n \n 13\n \n 15\n
\n 生物技术\n \n 88\n \n 69\n \n 12\n \n 31\n
\n 建筑与建材\n \n 61\n \n 50\n \n 39\n \n 50\n
\n 商用机器和设备\n \n 34\n \n 43\n \n 66\n \n 57\n
\n 陶瓷与玻璃\n \n 53\n \n 24\n \n 47\n \n 76\n
\n 化工\n \n 36\n \n 20\n \n 64\n \n 80\n
\n 电子消费品\n \n 35\n \n 23\n \n 65\n \n 77\n
\n 消费品\n \n 47\n \n 46\n \n 53\n \n 54\n
\n 电子元件\n \n 33\n \n 35\n \n 67\n \n 65\n
\n 发动机和涡轮机\n \n 50\n \n 45\n \n 50\n \n 55\n
\n 食品和烟草\n \n 62\n \n 56\n \n 38\n \n 44\n
\n 工业机械、设备和工具\n \n 66\n \n 47\n \n 34\n \n 53\n
\n 医疗器械\n \n 83\n \n 60\n \n 17\n \n 40\n
\n 非汽车运输工具代工\n \n 36\n \n 35\n \n 64\n \n 65\n
\n 纸张、印刷和包装\n \n 62\n \n 31\n \n 38\n \n 69\n
\n 药品\n \n 83\n \n 70\n \n 17\n \n 30\n
\n 塑料\n \n 36\n \n 48\n \n 64\n \n 52\n
\n 橡胶\n \n 42\n \n 29\n \n 58\n \n 71\n
\n 半导体\n \n 30\n \n 81\n \n 70\n \n 19\n
\n 空间与国防\n \n 69\n \n 34\n \n 31\n \n 66\n
\n 纺织品\n \n 27\n \n 29\n \n 73\n \n 71\n
\n 木制品\n \n 64\n \n 28\n \n 36\n \n 72\n
\n 服务业\n \n 可替代/可再生能源\n \n 5\n \n 9\n \n 95\n \n 91\n
\n 商业\n \n 66\n \n 57\n \n 34\n \n 43\n
\n 通信\n \n 69\n \n 60\n \n 31\n \n 40\n
\n 金融服务业\n \n 80\n \n 66\n \n 20\n \n 34\n
\n 保健\n \n 87\n \n 78\n \n 13\n \n 22\n
\n 酒店与旅游\n \n 31\n \n 25\n \n 69\n \n 75\n
\n 休闲娱乐\n \n 62\n \n 66\n \n 38\n \n 34\n
\n 房地产\n \n 47\n \n 30\n \n 53\n \n 70\n
\n 软件和IT服务\n \n 66\n \n 48\n \n 34\n \n 52\n
\n 交通运输\n \n 80\n \n 68\n \n 20\n \n 32\n
\n 仓储和储存\n \n 12\n \n 22\n \n 88\n \n 78\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_18", "image_path": "OChartR/img/zh_18_who.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 安全管理的饮用水设施\n \n 安全管理的卫生设施\n \n 用肥皂水和水洗手的设施\n
\n 非洲地区\n \n 32\n \n 23\n \n 28\n
\n 美洲地区\n \n 81\n \n 52\n \n N/A\n
\n 东地中海地区\n \n 56\n \n N/A\n \n 81\n
\n 欧洲地区\n \n 92\n \n 70\n \n N/A\n
\n 东南亚地区\n \n N/A\n \n 46\n \n 71\n
\n 西太平洋地区\n \n N/A\n \n 65\n \n N/A\n
\n 全球\n \n 74\n \n 54\n \n 71\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_19", "image_path": "OChartR/img/zh_19_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "最重要的动机\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 市场追求型\n \n 71\n
\n 效率寻找型\n \n 13\n
\n 协调全球价值链\n \n 6\n
\n 自然资源寻找型\n \n 4\n
\n 战略资产寻找型\n \n 1\n
\n 以上都不是\n \n 5\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_1", "image_path": "OChartR/img/zh_1_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 深圳\n \n 61.43%\n
\n 揭阳\n \n 0.25%\n
\n 云浮\n \n 0.25%\n
\n 清远\n \n 0.25%\n
\n 佛山\n \n 3.69%\n
\n 东莞\n \n 5.41%\n
\n 广州\n \n 23.83%\n
\n 惠州\n \n 2.46%\n
\n 珠海\n \n 1.47%\n
\n 中山\n \n 0.49%\n
\n 江门\n \n 0.49%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_20", "image_path": "OChartR/img/zh_20_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "调查对象的比例（百分比）\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 不知道\n \n 没有\n \n 考虑延迟或取消\n \n 严重延迟投资\n \n 取消投资计划\n \n 撤出现有投资\n
\n 公共机构事务处理上缺乏\n
\n 透明度和可预测性（50%）\n 		\n 1\n \n 23\n \n 24\n \n 27\n \n 14\n \n 11\n
\n 法律和监管的突然变化对\n
\n 公司产生负面影响（49%）\n 		\n 1\n \n 27\n \n 25\n \n 25\n \n 11\n \n 11\n
\n 在取得必要的政府许可和批准\n
\n 以启动或经营时延迟（47%）\n 		\n 1\n \n 20\n \n 17\n \n 37\n \n 13\n \n 12\n
\n 货币转移和货币兑换\n
\n 能力的限制（42%）\n 		\n 3\n \n 26\n \n 20\n \n 29\n \n 11\n \n 11\n
\n 政府违约（13%）\n \n 2\n \n 14\n \n 23\n \n 26\n \n 20\n \n 15\n
\n 政府强制征用或占用财产资产（5%）\n \n 3\n \n 33\n \n 5\n \n 10\n \n 13\n \n 36\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_21", "image_path": "OChartR/img/zh_21_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 优先发展\n
\n 领域1\n 		\n 4.17\n
\n 优先发展\n
\n 领域2\n 		\n 3.65\n
\n 优先发展\n
\n 领域3\n 		\n 3.83\n
\n 优先发展\n
\n 领域4\n 		\n 3.64\n
\n 应用\n \n 3.39\n
\n 基础发展领域\n \n 3.75\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_22", "image_path": "OChartR/img/zh_22_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 欧洲和中亚\n \n 362\n
\n 亿美元\n
\n 东亚和太平洋\n \n 130\n
\n 亿美元\n
\n 中东和北非\n \n 68\n
\n 亿美元\n
\n 南亚\n \n 154\n
\n 亿美元\n
\n 非洲\n \n 386\n
\n 亿美元\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_23", "image_path": "OChartR/img/zh_23_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 一组\n \n 二组\n \n 三组\n \n 四组\n \n 五组\n \n 六组\n \n 七组\n
\n 3,601\n \n 18,051\n \n 94,024\n \n 271,732\n \n 224,405\n \n 130,058\n \n 2,227\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_24", "image_path": "OChartR/img/zh_24_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "图 19 五个行业占中国温室气候排放总量的96%\n\n2018 年温室气候排放量细分（%）\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 温室气体排放量\n
\n 发电与供热\n \n 45\n
\n 工业\n \n 33\n
\n 交通\n \n 8\n
\n 建筑物\n \n 5\n
\n 农业、土地利用、土地利用\n
\n 变化和林业（LULUCF）\n 		\n 6\n
\n 其他\n \n 4\n
\n来源：世界银行利用 CAIT 的排放数据计算。注：工业指制造业、建筑业和工业加工行业的排放量总和。\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_25", "image_path": "OChartR/img/zh_25_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 净利润增长\n \n 稀释每股收益\n \n 有形普通股权收益率\n
\n 2005\n \n ＄8.5\n \n ＄2.35\n \n 15%\n
\n 2006\n \n ＄14.4\n \n ＄4.00\n \n 24%\n
\n 2007\n \n ＄15.4\n \n ＄4.33\n \n 22%\n
\n 2008\n \n ＄5.6\n \n ＄1.35\n \n 6%\n
\n 2009\n \n ＄11.7\n \n ＄2.26\n \n 10%\n
\n 2010\n \n ＄17.4\n \n ＄3.96\n \n 15%\n
\n 2011\n \n ＄19.0\n \n ＄4.48\n \n 15%\n
\n 2012\n \n ＄21.3\n \n ＄5.19\n \n 15%\n
\n 2013\n \n ＄17.9\n \n ＄4.34\n \n 11%\n
\n 2014\n \n ＄21.7\n \n ＄5.29\n \n 13%\n
\n 2015\n \n ＄24.4\n \n ＄6.00\n \n 13%\n
\n 2016\n \n ＄24.7\n \n ＄6.19\n \n 13%\n
\n 2017\n \n ＄24.4\n \n ＄6.31\n \n 12%\n
\n 2018\n \n ＄32.5\n \n ＄9.00\n \n 17%\n
\n 2019\n \n ＄36.4\n \n ＄10.72\n \n 19%\n
\n 2020\n \n ＄29.1\n \n ＄8.88\n \n 14%\n
\n 2021\n \n ＄39.1\n \n ＄15.36\n \n 23%\n
\n 2022\n \n ＄37.7\n \n ＄12.09\n \n 18%\n
\n 2023\n \n ＄49.6\n \n ＄16.23\n \n 21%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_26", "image_path": "OChartR/img/zh_26_who.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 超过25%\n \n 超过10%但低于25%\n \n 超过10%\n
\n 2000\n \n 1.9\n \n 7.7\n \n 9.6\n
\n 2005\n \n 2.6\n \n 8.5\n \n 11.1\n
\n 2010\n \n 2.7\n \n 8.7\n \n 11.4\n
\n 2015\n \n 3.3\n \n 9.4\n \n 12.7\n
\n 2017\n \n 3.6\n \n 9.4\n \n 13.0\n
\n 2019\n \n 3.8\n \n 9.7\n \n 13.5\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_27", "image_path": "OChartR/img/zh_27_who.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 低于10%\n \n 10%至25%\n \n 超过25%\n \n 没有回答\n
\n 2022\n \n 39.1\n \n 23.9\n \n 25.0\n \n 12.0\n
\n 2023\n \n 58.0\n \n 29.2\n \n 12.9\n \n 0\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_28", "image_path": "OChartR/img/zh_28_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 担保余额总额（10亿美元）\n \n 净担保余额（10亿美元）\n
\n 2019财年\n \n 23.3\n \n 8.3\n
\n 2020财年\n \n 22.6\n \n 9.2\n
\n 2021财年\n \n 23.0\n \n 9.1\n
\n 2022财年\n \n 24.4\n \n 9.0\n
\n 2023财年\n \n 27.9\n \n 9.5\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_29", "image_path": "OChartR/img/zh_29_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "獨立性權重\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 獨立非執行董事\n \n 非執行董事\n \n 執行董事\n
\n 董事會\n \n 75%\n \n 17%\n \n 8%\n
\n 審核委員會\n \n 100%\n \n 0\n \n 0\n
\n 薪酬委員會\n \n 80%\n \n 20%\n \n 0\n
\n 提名及企業管治委員會\n \n 80%\n \n 0\n \n 20%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_2", "image_path": "OChartR/img/zh_2_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 广州\n \n 4家\n
\n 深圳\n \n 9家\n
\n 佛山\n \n 5家\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_30", "image_path": "OChartR/img/zh_30_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "再保险组合（10亿美元）和再保险比例（%）\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 再保险余额\n \n 再保险余额占总承保余额比例\n
\n 2019财年\n \n 14.9\n \n 64%\n
\n 2020财年\n \n 13.2\n \n 58%\n
\n 2021财年\n \n 13.6\n \n 59%\n
\n 2022财年\n \n 15.1\n \n 62%\n
\n 2023财年\n \n 18\n \n 65%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_31", "image_path": "OChartR/img/zh_31_who.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 缺失年龄\n \n 缺失性别\n
\n 非洲地区\n \n 99.6\n \n 99.3\n
\n 美洲地区\n \n 50.5\n \n 2.5\n
\n 东地中海地区\n \n 6.3\n \n 5.4\n
\n 欧洲地区\n \n 0.3\n \n 0.2\n
\n 东南亚地区\n \n 0.2\n \n 0\n
\n 西太平洋地区\n \n 0.3\n \n 0.4\n
\n 全球\n \n 44.2\n \n 8\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_32", "image_path": "OChartR/img/zh_32_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 男\n \n 女\n
\n 18-24\n \n 60\n \n 47\n
\n 25-34\n \n 30\n \n 36\n
\n 35-44\n \n 37\n \n 28\n
\n 45-54\n \n 46\n \n 24\n
\n 55-64\n \n 26\n \n 24\n
\n 64及以上\n \n 24\n \n 18\n
\n图 6-1 调查样本的年龄性别分布\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_33", "image_path": "OChartR/img/zh_33_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 有形账面价值\n \n 平均股价\n
\n 2005\n \n $16.45\n \n $36.07\n
\n 2006\n \n $18.88\n \n $43.93\n
\n 2007\n \n $21.96\n \n $47.75\n
\n 2008\n \n $22.52\n \n $39.83\n
\n 2009\n \n $27.09\n \n $35.49\n
\n 2010\n \n $30.12\n \n $40.36\n
\n 2011\n \n $33.62\n \n $39.36\n
\n 2012\n \n $38.68\n \n $39.22\n
\n 2013\n \n $40.72\n \n $51.88\n
\n 2014\n \n $44.60\n \n $58.17\n
\n 2015\n \n $48.13\n \n $63.83\n
\n 2016\n \n $51.44\n \n $65.62\n
\n 2017\n \n $53.56\n \n $92.01\n
\n 2018\n \n $56.33\n \n $110.72\n
\n 2019\n \n $60.98\n \n $113.80\n
\n 2020\n \n $66.11\n \n $106.52\n
\n 2021\n \n $71.53\n \n $155.61\n
\n 2022\n \n $73.12\n \n $128.13\n
\n 2023\n \n $86.08\n \n $144.05\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_34", "image_path": "OChartR/img/zh_34_oecd.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 个人所得税\n \n 增值税\n \n 企业所得税\n \n 社会保障缴款\n \n 其他商品和服务税\n \n 其他税\n
\n 经合组织\n \n 24\n \n 10\n \n 26\n \n 21\n \n 11\n \n 9\n
\n 拉美和加勒比地区\n \n 9\n \n 15\n \n 17\n \n 30\n \n 20\n \n 8\n
\n 亚太地区平均\n \n 16\n \n 18\n \n 7\n \n 26\n \n 26\n \n 7\n
\n 非洲地区平均\n \n 17\n \n 19\n \n 8\n \n 28\n \n 24\n \n 4\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_35", "image_path": "OChartR/img/zh_35_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 净冲销\n \n 覆盖比率\n
\n 2013\n \n 7,897\n \n 0.87%\n
\n 2014\n \n 4,383\n \n 0.49%\n
\n 2015\n \n 4,338\n \n 0.50%\n
\n 2016\n \n 3,821\n \n 0.43%\n
\n 2017\n \n 3,979\n \n 0.44%\n
\n 2018\n \n 3,763\n \n 0.41%\n
\n 2019\n \n 3,648\n \n 0.38%\n
\n 2020\n \n 4,121\n \n 0.42%\n
\n 2021\n \n 2,243\n \n 0.25%\n
\n 2022\n \n 2,172\n \n 0.21%\n
\n 2023\n \n 3,799\n \n 0.36%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_36", "image_path": "OChartR/img/zh_36_oecd.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 担保\n \n 多边发展机构\n \n 简单共同融资\n \n 银团贷款\n \n 集合投资工具中的股份\n \n 多条信贷额度\n
\n 水部门\n \n 87%\n \n 7%\n \n 4%\n \n 0\n \n 1%\n \n 1%\n
\n 所有其他部门\n \n 35%\n \n 27%\n \n 4%\n \n 7%\n \n 8%\n \n 19%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_37", "image_path": "OChartR/img/zh_37_who.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 消瘦\n \n 超重\n
\n 非洲\n \n 5.8\n \n 4.2\n
\n 美洲\n \n 0.7\n \n 8\n
\n 东地中海\n \n 7.4\n \n 7.7\n
\n 欧洲\n \n 0\n \n 7.9\n
\n 东南亚\n \n 14.5\n \n 3.3\n
\n 西太平洋\n \n 2.1\n \n 7.5\n
\n 全球\n \n 6.7\n \n 5.7\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_38", "image_path": "OChartR/img/zh_38_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "晶圓銷售按應用分類\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 智能手機\n \n 電腦與平板\n \n 消費電子\n \n 互聯與可穿戴\n \n 工業與汽車\n
\n 2022\n \n 27%\n \n 18%\n \n 27%\n \n 18%\n \n 10%\n
\n 2023\n \n 27%\n \n 27%\n \n 25%\n \n 12%\n \n 9%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_39", "image_path": "OChartR/img/zh_39_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 撒哈拉以南地区\n \n 中东和北非地区\n \n 南亚地区\n \n 拉丁美洲和加勒比地区\n \n 欧洲和中亚地区\n \n 东亚和太平洋地区\n
\n 年\\国家\n \n 南非\n \n 沙特阿拉伯\n \n 印度\n \n 巴西\n \n 墨西哥\n \n 智利\n \n 哥伦比亚\n \n 阿根廷\n \n 委内瑞拉\n \n 俄罗斯联邦\n \n 土耳其\n \n 匈牙利\n \n 波兰\n \n 希腊\n \n 哈萨克斯坦\n \n 中国\n \n 马来西亚\n \n 泰国\n \n 菲律宾\n \n 印度尼西亚\n
\n 2015\n \n 5.8\n \n 2.3\n \n 4.9\n \n 6.5\n \n 5.4\n \n 3.1\n \n 1.7\n \n 1.3\n \n 0.9\n \n 9.0\n \n 1.6\n \n 1.4\n \n 1.0\n \n 0.9\n \n 0.8\n \n 36.0\n \n 4.9\n \n 2.4\n \n 1.5\n \n 1.1\n
\n 1995\n \n 16.1\n \n 2.0\n \n 0.3\n \n 30.7\n \n 2.9\n \n 1.9\n \n 0.7\n \n 7.4\n \n 2.4\n \n 2.3\n \n 1.0\n \n 0.2\n \n 0.4\n \n 2.0\n \n 0.0\n \n 12.3\n \n 3.5\n \n 1.6\n \n 0.2\n \n 4.1\n
\n占发展中国家总OFDI存量的比例（百分比）\n\n图 4.4 最主要的发展中国家对外投资者\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_3", "image_path": "OChartR/img/zh_3_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 深圳\n \n 250\n
\n 广州\n \n 97\n
\n 东莞\n \n 22\n
\n 佛山\n \n 15\n
\n 惠州\n \n 10\n
\n 珠海\n \n 6\n
\n 中山\n \n 2\n
\n 江门\n \n 2\n
\n 揭阳\n \n 1\n
\n 云浮\n \n 1\n
\n 清远\n \n 1\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_40", "image_path": "OChartR/img/zh_40_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 巴克莱银行\n \n 富时100指数\n
\n 2013\n \n 100\n \n 100\n
\n 2014\n \n 92\n \n 101\n
\n 2015\n \n 85\n \n 99\n
\n 2016\n \n 89\n \n 118\n
\n 2017\n \n 82\n \n 133\n
\n 2018\n \n 62\n \n 121\n
\n 2019\n \n 78\n \n 142\n
\n 2020\n \n 63\n \n 126\n
\n 2021\n \n 82\n \n 149\n
\n 2022\n \n 72\n \n 155\n
\n 2023\n \n 73\n \n 167\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_41", "image_path": "OChartR/img/zh_41_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 甘肃\n \n 中国\n
\n 农村居民人均可\n
\n 支配收入（元）\n 		\n 7456.9\n \n 12363\n
\n 城镇居民人均可\n
\n 支配收入（元）\n 		\n 25693.5\n \n 33616\n
\n 农村生活消费支\n
\n 出（元）\n 		\n 7487\n \n 10130\n
\n 城市居民生活消\n
\n 费支出（元）\n 		\n 19539.2\n \n 23079\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_42", "image_path": "OChartR/img/zh_42_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 员工流动率\n
\n 2015\n \n 15%\n
\n 2016\n \n 14%\n
\n 2017\n \n 12%\n
\n 2018\n \n 12%\n
\n 2019\n \n 11%\n
\n 2020\n \n 7%\n
\n 2021\n \n 12%\n
\n 2022\n \n 13%\n
\n 2023\n \n 8%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_43", "image_path": "OChartR/img/zh_43_wb.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 就业\n \n 每个工人的物质资本\n \n 每个工人的人力资本\n \n 全要素生产率\n
\n 1978-1987\n \n 4.1\n \n 2.3\n \n 0.7\n \n 2.9\n
\n 1988-1997\n \n 3.6\n \n 2.8\n \n 0.8\n \n 2.8\n
\n 1998-2007\n \n 3.3\n \n 5.5\n \n 0.4\n \n 0.8\n
\n 2008-2017\n \n 1.3\n \n 6.4\n \n 0.4\n \n 0.1\n
\n 2018-2021\n \n 1.2\n \n 4.6\n \n 0.4\n \n -0.5\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_44", "image_path": "OChartR/img/zh_44_ILO.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "(b)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 低于最低工资\n \n 按最低工资计算\n \n 高于最低工资\n \n 其他非工资劳动者\n
\n D1\n \n 19\n \n 2\n \n 0\n \n 20\n
\n D2\n \n 17\n \n 7\n \n 1\n \n 12\n
\n D3\n \n 14\n \n 16\n \n 3\n \n 9\n
\n D4\n \n 12\n \n 17\n \n 5\n \n 6\n
\n D5\n \n 9\n \n 17\n \n 9\n \n 12\n
\n D6\n \n 9\n \n 11\n \n 12\n \n 9\n
\n D7\n \n 6\n \n 12\n \n 14\n \n 9\n
\n D8\n \n 6\n \n 9\n \n 17\n \n 9\n
\n D9\n \n 4\n \n 5\n \n 19\n \n 6\n
\n D10\n \n 4\n \n 4\n \n 20\n \n 9\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_45", "image_path": "OChartR/img/zh_45_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "資產結構\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 客戶貸款及墊款淨額\n \n 投資\n \n 現金及存放中央銀行款項\n \n 存放和拆放同業及\n
\n 其他金融機構款項\n 		\n 買入返售款項\n \n 其他\n
\n 2023\n \n 56.8%\n \n 26.5%\n \n 9.0%\n \n 2.5%\n \n 2.7%\n \n 2.2%\n
\n 2022\n \n 57.0%\n \n 26.6%\n \n 8.7%\n \n 3.0%\n \n 2.5%\n \n 2.5%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_46", "image_path": "OChartR/img/zh_46_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "按貸款客戶行業劃分的境內分行公司類貸款\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 交通運輸、倉儲和郵政業\n \n 製造業\n \n 租賃和商務服務業\n \n 水利、環境和公共設施管理業\n \n 電力、熱力、燃氣及水生產和供應業\n \n 房地產業\n \n 批發和零售業\n \n 建築業\n \n 科教文衛\n \n 採礦業\n \n 其他\n
\n 24.1%\n \n 15.8%\n \n 15.5%\n \n 11.6%\n \n 10.7%\n \n 5.1%\n \n 4.6%\n \n 2.9%\n \n 2.6%\n \n 2.0%\n \n 5.1%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_47", "image_path": "OChartR/img/zh_47_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 貸款增量（億元）\n \n 同比多增（億元）\n \n 工行貸款增速\n \n 全部金融機構貸款增速\n
\n 2019\n \n 13,323\n \n 1,723\n \n 9.8%\n \n 12.3%\n
\n 2020\n \n 18,815\n \n 5,491\n \n 12.6%\n \n 12.8%\n
\n 2021\n \n 21,247\n \n 2,433\n \n 12.6%\n \n 11.6%\n
\n 2022\n \n 25,530\n \n 4,283\n \n 13.5%\n \n 11.1%\n
\n 2023\n \n 29,086\n \n 3,555\n \n 13.5%\n \n 10.6%\n
\n註：上圖為境內人民幣貸款增長情況。\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_48", "image_path": "OChartR/img/zh_48_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "員工業務部門結構如下圖所示：（包括勘探開採•煉油、營銷分銷、化工、科研和其他）\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 營銷及分銷\n \n 119,212人\n \n 佔32.4％\n
\n 科研\n \n 6,506人\n \n 佔1.8％\n
\n 其他\n \n 4,392人\n \n 佔1.2％\n
\n 勘探及開採\n \n 117,344人\n \n 佔31.9％\n
\n 煉油\n \n 55,357人\n \n 佔15.0％\n
\n 化工\n \n 65,198人\n \n 佔17.7％\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_49", "image_path": "OChartR/img/zh_49_sec.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "保费收入结构（百万元）\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 2023\n \n 2022\n
\n 续期保费\n \n 430,567\n \n 430,423\n
\n 趸交保费\n \n 21,737\n \n 14,077\n
\n 短期险保费\n \n 76,503\n \n 74,264\n
\n 首年期交保费\n \n 112,573\n \n 96,426\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_4", "image_path": "OChartR/img/zh_4_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 企业数\n
\n 广州\n \n 48家\n
\n 深圳\n \n 225家\n
\n 东莞\n \n 18家\n
\n 惠州\n \n 5家\n
\n 佛山\n \n 3家\n
\n 珠海\n \n 3家\n
\n 中山\n \n 2家\n
\n 梅州\n \n 1家\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_5", "image_path": "OChartR/img/zh_5_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 教法\n \n 50%\n
\n 有趣帮事\n \n 38.2%\n
\n 字、词、概念\n \n 11.8%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_6", "image_path": "OChartR/img/zh_6_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 经常\n \n 83.3%\n
\n 有时\n \n 16.7%\n
\n 较少\n \n 0\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_7", "image_path": "OChartR/img/zh_7_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 已在尝试\n \n 8.3%\n
\n 听说过\n \n 62.5%\n
\n 没听说过\n \n 29.2%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_8", "image_path": "OChartR/img/zh_8_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 实验设计\n \n 62%\n
\n 实验操作\n \n 22%\n
\n 问题解认\n \n 1%\n
\n 问题解析\n \n 15%\n
\n", "type": "Chart" }, { "sub_set": "OChartR", "id": "ochartr_zh_9", "image_path": "OChartR/img/zh_9_lib.jpeg", "prompt": "请将图表中的数据汇编为表格数据，用HTML格式输出。文本的换行符号用‘
’。图表外的文字用普通文本输出。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 平均发言次数\n
\n 组别\n \n 第一学期末\n \n 第二学期末\n
\n 全脑实验班\n \n 7.6\n \n 9\n
\n 合作对照班\n \n 6.4\n \n 8.2\n
\n 普通对照班\n \n 5.2\n \n 3\n
\n", "type": "Chart" }, { "sub_set": "OChemR", "id": "ochemr_smiles_0", "image_path": "OChemR/img/0_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "Fc1ccc(CC2CCC3(CC2)OOCCCOO3)cc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_10", "image_path": "OChemR/img/10_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "N#Cc1cc2ccccc2c2ccccc12", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_11", "image_path": "OChemR/img/11_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "O=C(O)C1C(C(=O)O)C1(c1ccccc1)c1ccccc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_12", "image_path": "OChemR/img/12_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "NC(C[n+]1ccccc1)(P(=O)(O)O)P(=O)(O)O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_13", "image_path": "OChemR/img/13_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C=CCN1C(=O)OC2(CCCCC2)C1(C)O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_14", "image_path": "OChemR/img/14_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CN1CCC2(CC1)c1ccccc1-c1ccccc12", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_15", "image_path": "OChemR/img/15_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "CC(NCc1ccncc1)C12CC3CC(CC(C3)C1)C2", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_16", "image_path": "OChemR/img/16_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CCNc1nc(NC(C)C)nc(NC(C)(C)C)n1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_17", "image_path": "OChemR/img/17_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "CC(C)Nc1c2ccccc2nc2ccccc12", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_18", "image_path": "OChemR/img/18_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "N#C[C@@H]1[C@@H]2C=C[C@@H](C2)[C@]21C(=O)Nc1ccccc21", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_19", "image_path": "OChemR/img/19_lib_fischer.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "OCC(O)C(O)C(O)C(O)C=O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_1", "image_path": "OChemR/img/1_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C=C(C)[C@]1(O)CC[C@@]2(C)CCC[C@@](C)(N=C=S)[C@@H]2C1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_20", "image_path": "OChemR/img/20_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "C[C@@H](O)C1CC[C@H]2[C@@H]3CCC4=CC(=O)CCC4(C)[C@H]3CCC12C(=O)C=[N+]=[N-]", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_21", "image_path": "OChemR/img/21_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "Cn1c(=O)n(C)c2cc(S(=O)(=O)NCCc3ccccc3)ccc12", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_22", "image_path": "OChemR/img/22_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "COc1cc2c3c(c1OC)C1(C=CC(=O)C=C1)C[C@H]3N(C)CC2", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_23", "image_path": "OChemR/img/23_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "N[C@@H](CSC1(c2ccccc2)c2ccccc2-c2ccccc12)C(=O)O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_24", "image_path": "OChemR/img/24_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CCCCCCCC/C=C\\CCCCCCCC(=O)Nc1ncnc2c1ncn2CCOCP(=O)([O-])[O-]", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_25", "image_path": "OChemR/img/25_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "Cn1cc(CN2CCCC32CCN(Cc2nccn2C)CC3)cn1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_26", "image_path": "OChemR/img/26_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CN1CCC[C@H]1C(=O)N1CC[C@@H](OCCOc2ncc(c3nc(C#N)nc4c3ccn4C)cc2C(F)(F)F)C1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_27", "image_path": "OChemR/img/27_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "N=C(N)NCCNC(=O)c1cc2c(NCCCCCN)c3c(c(NCCCCCN)c2o1)C(=O)c1ccccc1C3=O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_28", "image_path": "OChemR/img/28_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CC[C@H](C)[C@H](NC(=S)Nc1cccc([N+](=O)[O-])c1)C(=O)N[C@H](Cc1ccccc1)C(=O)Nc1ccc(C)c(C)c1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_29", "image_path": "OChemR/img/29_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "Clc1ccc(OCc2nn3c(CCc4nnc5sc(COc6ccc(Cl)cc6)nn45)nnc3s2)cc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_2", "image_path": "OChemR/img/2_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "C=CS(=O)(=O)Cc1ccc2no[n+]([O-])c2c1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_30", "image_path": "OChemR/img/30_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "COc1ccc(/C(=N\\NC(=O)NN)C(c2ccc(OC)cc2)C2(O)C(=O)Nc3c(Cl)cc(Cl)cc32)cc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_31", "image_path": "OChemR/img/31_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "CN1CCC(N2C(=O)Cc3ccc(-c4ccc(C[C@@H](C#N)NC(=O)[C@H]5N[C@@H]6CC[C@H]5C6)c(F)c4)cc32)CC1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_32", "image_path": "OChemR/img/32_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CC(C)CC1=C(OC2(CC(C)C)C(=O)c3ccccc3-c3nc4ccccc4nc32)C(=O)c2ccccc2C1=O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_33", "image_path": "OChemR/img/33_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C[C@@H](NS(=O)(=O)c1ccc(c2c(C#N)c3ccc(OC(F)F)cc3n2C2CCC2)nc1)C(F)(F)F", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_34", "image_path": "OChemR/img/34_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "[BH3-]P(=O)(OC[C@H]1O[C@@H](n2cnc3c(N)ncnc23)[C@H](O)[C@@H]1O)OP(=O)([O-])OP(=O)([O-])[O-]", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_35", "image_path": "OChemR/img/35_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "COc1cc2c(cc1S(=O)(=O)c1ccc(NC(=O)c3ccc4ccccc4c3)cc1)CCN(C)CC2", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_36", "image_path": "OChemR/img/36_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CC(=O)Nc1cccc(S(=O)(=O)Nc2ccc(-c3ccccc3)n(CC(=O)NC(C(=O)C(F)(F)F)C(C)C)c2=O)c1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_37", "image_path": "OChemR/img/37_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "COc1cc2c(Nc3ccc(c4nc5ccccc5s4)c(F)c3)ncnc2cc1OCCCN1CCN(C)CC1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_38", "image_path": "OChemR/img/38_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CCCCC1(C(NC(=O)c2ccccc2Cl)c2ccncc2)C(=O)N(c2ccccc2)N(c2ccccc2)C1=O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_39", "image_path": "OChemR/img/39_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "Cc1nc2ccccc2n1[C@@H]1C[C@@H]2CC[C@H](C1)N2CCCC1(c2ccccc2)CCN(C(=O)OC(C)(C)C)CC1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_3", "image_path": "OChemR/img/3_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C[C@@H]1CN(C2(C(=O)N3CCNCC3)Cc3ccccc3C2)C[C@H](C)O1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_40", "image_path": "OChemR/img/40_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CC[C@H](C)[C@@H]1NCCOc2ccccc2/C=C\\CNC(=O)[C@H](COC)NC(=O)C2(CCCC2)NC1=O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_41", "image_path": "OChemR/img/41_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "CC(Cc1ccc(Cl)cc1Cl)C(=O)NC1N=C(c2ccc(C(=O)N)cc2)c2ccccc2N(C)C1=O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_42", "image_path": "OChemR/img/42_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CCCCCCCC[P+](CCCCCCCC)(CCCCCCCC)CCCCCCCC", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_43", "image_path": "OChemR/img/43_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "Cc1ncnc(C)c1C(=O)N1C[C@H]2CN(CCC(c3cccc(F)c3)C3CCN(S(=O)(=O)c4ccccc4)CC3)C[C@H]2C1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_44", "image_path": "OChemR/img/44_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CCOC(=O)C1=C(N)N(Nc2ccc(Br)cc2)C2=C(C(=O)CC(C)(C)C2)C1c1cc2cc(C)ccc2nc1Cl", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_45", "image_path": "OChemR/img/45_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C=C1CN2CC(=C)CN(C1)CS(=O)(=O)N1CC(=C)CN(CC(=C)C1)S(=O)(=O)N1CC(=C)CN(CC(=C)C1)S(=O)(=O)C2", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_46", "image_path": "OChemR/img/46_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "O=C(NNc1ccccc1)c1ccc(NC(=S)Nc2ccc(NC(=S)Nc3ccc(C(=O)NNc4ccccc4)cc3)cc2)cc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_47", "image_path": "OChemR/img/47_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "CC1(C)CCC2=C(C1=O)C(c1ccc(C3C4=C(CCC(C)(C)C4=O)OC4=C3C(=O)C(C)(C)CC4)cc1)C1=C(CCC(C)(C)C1=O)O2", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_48", "image_path": "OChemR/img/48_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "C=CC(=O)Nc1cc2c(Nc3ccc(Br)cc3F)ncnc2cc1OCCOCCOC(=O)CC(=O)OCC", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_49", "image_path": "OChemR/img/49_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "O=C(OCCI)[C@H]1[C@H](c2ccc(O)cc2)[C@H](C(=O)OCCI)[C@H]1c1ccc(O)cc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_4", "image_path": "OChemR/img/4_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "Nc1nc(=S)[nH]c2c1C(c1ccccc1)c1ccccc1O2", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_50", "image_path": "OChemR/img/50_lib_fischer.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "OC1OC(O)C(O)C(O)C1O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_51", "image_path": "OChemR/img/51_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "COc1cc(/C=C/2\\CN(C)CC3=C2Nc2nc(SC)[nH]c(=O)c2C3c2cc(OC)c(OC)c(OC)c2)cc(OC)c1OC", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_52", "image_path": "OChemR/img/52_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CCOc1ccc(CN(C)C)cc1NC(=O)[C@H](NC(=O)N1CCC(C(=O)c2ccccn2)CC1)[C@@H](C)c1c[nH]c2ccccc12", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_53", "image_path": "OChemR/img/53_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "OC[C@]12C3N(Cc4ccccc4)C4[C@](CO)(C5N(Cc6ccccc6)C1[C@]3(CO)[C@@H](c1ccccc1)[C@@]45CO)[C@@H]2c1ccccc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_54", "image_path": "OChemR/img/54_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "Cn1ccc2cc(C(=O)NCC34CC5CC(CC(C5)C3)C4)c(C(=O)N[C@@H](Cc3ccccc3)C(=O)Nc3cc(C(=O)O)cc(C(=O)O)c3)cc21", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_55", "image_path": "OChemR/img/55_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "CCOC1=C2CN(S(=O)(=O)c3ccc(C)cc3)[C@H](c3ccccc3)C[C@@H]2N(S(=O)(=O)c2ccccc2C)[C@H](c2ccccc2)C1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_56", "image_path": "OChemR/img/56_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CN(C)c1ccc(CC(=O)Nc2nnc(CCSCCc3nnc(NC(=O)Cc4ccc(N(C)C)cc4)s3)s2)cc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_57", "image_path": "OChemR/img/57_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "Cn1cnc(CC(=O)NC(CCS(C)(=O)=O)C(=O)N[C@H]2C[C@H]3CC[C@]2(CS(=O)(=O)N2CCC4(CCc5ccccc54)CC2)C3(C)C)c1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_58", "image_path": "OChemR/img/58_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "OC1C[N+]2(Cc3ccc(CCc4ccc(C[N+]56CCC(CC5)C(O)C6)cc4)cc3)CCC1CC2", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_59", "image_path": "OChemR/img/59_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "COc1ccc(-c2ccc(Cn3c(CC(C)(C)C(=O)O)c(SC(C)(C)C)c4cc(OCc5ccccn5)ccc43)cc2)nn1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_5", "image_path": "OChemR/img/5_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C=C1C(=O)O[C@H]2[C@H]1C[C@@H](OC(=O)/C(C)=C\\C)[C@@](C)(O)[C@@]13O[C@@H]1[C@@H]1O[C@]1(C)[C@H]23", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_60", "image_path": "OChemR/img/60_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "Cc1ccc(N2N=C(c3ccccc3)C(c3ccccc3)C32CCC2(C3=O)C(c3ccccc3)C(=NN2c2ccc(C)cc2)c2ccccc2)cc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_61", "image_path": "OChemR/img/61_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "CCCCCCCCCCCCCCCC(=O)c1ccc([C@H]2CC[C@H]([N+](C)(C)CCC)CC2)cc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_62", "image_path": "OChemR/img/62_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "Cc1c(CN2CCC(Nc3ncnc4sc(CC(F)(F)F)cc34)CC2)ccc2c1cc(C#N)n2CCC1CCN(S(=O)(=O)N)CC1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_63", "image_path": "OChemR/img/63_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "Cc1ccc(S(=O)(=O)N2C[C@H]3C(=O)C[C@@H](c4ccc(Cl)cc4)N(S(=O)(=O)c4ccccc4C)[C@H]3C[C@H]2c2ccccc2)cc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_64", "image_path": "OChemR/img/64_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CCCCCCCCCCCCCCCCOCCCOP(=O)([O-])CO[C@H](COC)Cn1cnc2c(OC)ncnc21", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_65", "image_path": "OChemR/img/65_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "CC(=O)OCC1OC(SC2=N/C(=C\\c3cccs3)/C(=O)N2c2ccccc2)C(OC(=O)C)C(OC(=O)C)C1OC(=O)C", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_66", "image_path": "OChemR/img/66_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "COc1ccc(/C=C/c2ccc(C(=O)Nc3cc(C(=O)Nc4cc(C(=O)NCCN5CCOCC5)n(C)c4)n(C(C)C)c3)cn2)cc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_67", "image_path": "OChemR/img/67_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "O=C(N[C@@](Cc1ccccc1)(c1cc(F)cc(OC(F)(F)C(F)F)c1)c1ccc(Cl)cn1)N1CCC[C@@H]1C(F)(F)F", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_68", "image_path": "OChemR/img/68_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CCOC(=O)c1ccc(NC(=O)N[C@@H](Cc2ccccc2)C(=O)NC2CCN(Cc3ccc(OCCCN(C)C)cc3)C2)cc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_69", "image_path": "OChemR/img/69_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C#CCCCC1OC(=O)CCNC(=O)[C@@H](Cc2ccccc2)N(C)C(=O)[C@H](C(C)C)OC(=O)[C@H]([C@H](C)CC)NC(=O)C1(C)C", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_6", "image_path": "OChemR/img/6_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "O=[N+]([O-])c1ccc(OC2C(n3ccnc3)CCCC2n2ccnc2)c(F)c1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_70", "image_path": "OChemR/img/70_csdb_rd.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CCOC(=O)Cc1nnc(Nc2ccc3c(c2)NC(=O)[C@H](C)CCC[C@H](N2CCC(c4c(F)ccc(Cl)c4F)=CC2=O)c2cc-3ccn2)o1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_71", "image_path": "OChemR/img/71_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C[C@@H]1CCCCO[C@@H](CN(C)CC2CC2)[C@@H](C)CN([C@H](C)CO)C(=O)c2cc(NS(=O)(=O)c3cccs3)ccc2O1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_72", "image_path": "OChemR/img/72_lib_fischer.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "OCC(=O)C(O)C(O)C(O)CO", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_73", "image_path": "OChemR/img/73_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "NCC12C3C4C5C3C1C5C24", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_74", "image_path": "OChemR/img/74_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "c1cc(C2CN(C3CCCC3)C2)n[nH]1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_75", "image_path": "OChemR/img/75_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "N#CC12CNCC1CN=N2", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_76", "image_path": "OChemR/img/76_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "C1CC2C3CC4CC(C3)CC2(CN1)C4", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_77", "image_path": "OChemR/img/77_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "OCC[N+]1(C2CC2)CC1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_78", "image_path": "OChemR/img/78_pubchem_chemfig.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "O=C1c2ccccc2C(=O)c2c1c(O)c1c(=O)c(C(=O)O)cn(C3CC3)c1c2O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_79", "image_path": "OChemR/img/79_pubchem_chemfig.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "CCS(=O)(=O)[C@H]1[C@H](c2ccc(F)cc2)[C@@]1(CN)CO", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_7", "image_path": "OChemR/img/7_csdb_rd.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "N#CC(C#N)=C(C#N)C#N", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_80", "image_path": "OChemR/img/80_pubchem_chemfig.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "COc1cccc(CN(C(=O)CCCN(c2cccc(C)c2C)S(C)(=O)=O)[C@@H](Cc2ccccc2)C(=O)NC2CCCCC2)c1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_81", "image_path": "OChemR/img/81_pubchem_chemfig.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "O=C(NC1CC1)N[C@H]1[C@H]2CC[C@@H](C2)[C@H]1CO", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_82", "image_path": "OChemR/img/82_pubchem_chemfig.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "B1CCCCBCCCC1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_83", "image_path": "OChemR/img/83_pubchem_chemfig.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C=CCC12CC(=C)C1=CC(C)(C)CC2=O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_84", "image_path": "OChemR/img/84_pubchem_chemfig.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "[O-]N1CCN1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_85", "image_path": "OChemR/img/85_pubchem_chemfig.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "O=C1OC[C@H]2C[C@@H]1[C@@H]1OCO[C@H]21", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_86", "image_path": "OChemR/img/86_pubchem_chemfig.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "C=c1[nH]c(=C)o1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_87", "image_path": "OChemR/img/87_pubchem_chemfig.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C#C[OH+]C#C", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_88", "image_path": "OChemR/img/88_pubchem_chemfig.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "c1ccc2c(c1)CN1CCN3Cc4ccccc4O[P+]34N=P1(N=P(N1CCCC1)(N1CCCC1)[N-]4)O2", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_89", "image_path": "OChemR/img/89_pubchem_chemfig.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "COc1cc(-c2oc3cc(O[C@@H]4O[C@H](CO)[C@@H](O)[C@H](O)[C@H]4O)cc(O)c3c(=O)c2O[C@@H]2O[C@H](CO[C@@H]3O[C@@H](C)[C@H](O)[C@@H](O)[C@H]3O)[C@@H](O)[C@H](O)[C@H]2O)cc(OC)c1O", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_8", "image_path": "OChemR/img/8_csdb_ob.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CCN1CCC23CC4CC(CC(C4)C2C1)C3", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_90", "image_path": "OChemR/img/90_pubchem_chemfig.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "Cc1ccc(C2(c3ccc(C)o3)C(=O)Nc3c(Cl)ccc(Cl)c32)o1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_91", "image_path": "OChemR/img/91_pubchem_chemfig.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C=C(C)C(=O)O[C@@H]1C[C@H]2CC[C@]1(C(OC)(c1ccccc1)c1ccccc1)C2(C)C", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_92", "image_path": "OChemR/img/92_pubchem_chemfig.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CCc1cc[n+](C(c2ccccc2)(c2ccccc2)c2ccccc2)cc1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_93", "image_path": "OChemR/img/93_pubchem_chemfig.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C(\\c1ccccc1)=c1\\c2ccccc2/c(=C\\c2ccccc2)c2cc3/c(=C\\c4ccccc4)c4cc5/c(=C/c6ccccc6)c6cc7/c(=C/c8ccccc8)c8ccccc8/c(=C\\c8ccccc8)c7cc6/c(=C\\c6ccccc6)c5cc4/c(=C/c4ccccc4)c3cc12", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_94", "image_path": "OChemR/img/94_pubchem_chemfig.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "NCC1(CN(CCO)C2CCC2)CCCC1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_95", "image_path": "OChemR/img/95_pubchem_chemfig.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C[C@H]1OC[C@@]2(CN3CCC2C3)O1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_96", "image_path": "OChemR/img/96_pubchem_chemfig.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "IN1C=C=NN=C1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_97", "image_path": "OChemR/img/97_pubchem_chemfig.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C1=C(C2CN2)C1", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_98", "image_path": "OChemR/img/98_pubchem_chemfig.jpeg", "prompt": "Please output the chemical structure in the figure in SMILES format. Output the SMILES sequence briefly and do not output other content.", "answer": "CC1C2Oc3c(Cl)cccc3C12", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_99", "image_path": "OChemR/img/99_latex_chemfig.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "C1=Cc2cc3ccc(cc4ccc(cc5nc(cc1n2)C=C5)[nH]4)[nH]3", "type": "Chem" }, { "sub_set": "OChemR", "id": "ochemr_smiles_9", "image_path": "OChemR/img/9_csdb_ob.jpeg", "prompt": "请将图中的化学结构式用SMILES格式输出。简短输出SMILES序列，不要输出其他内容。", "answer": "CC(C)C1=NN=CC1C1CC2CCC(C1)N2", "type": "Chem" }, { "sub_set": "OFloChR", "id": "oflochr_en_0", "image_path": "OFloChR/img/en_0_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Customer
Inquiry
Processing\nDichotomous Flowchart\n```mermaid\nflowchart TD\nA([Receive customer inquiry]) --> B([Categorize inquiry])\nB --> C([Is it about product
features?])\nB --> D([Is it a general
question?])\nB --> E([Is it about pricing?])\nB --> F([Is it about delivery?])\nC --> |Yes| G([Prepare product
spec sheet])\nG --> K([Forward to sales
team])\nD --> |Yes| H([Check FAQ
database])\nD --> |No| F\nE --> |Yes| I([Generate price
quote])\nI --> L([Send to customer])\nF --> |Yes| J([Check shipping
status])\nJ --> M([Update customer])\nC --> |No| D\nE --> |No| D\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_10", "image_path": "OFloChR/img/en_10_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "```mermaid\nflowchart TD\nA((1)) --> |\"Define project scope: 1 day(s)\"| B((2))\nB --> |\"Create presentation materials: 5
day(s)\"| C((4))\nB --> |\"Develop store layout: 7
day(s)\"| E((5))\nB --> |\"Draft initial design: 4 day(s)\"| D((3))\nC --> |\"Review
presentation
materials: 2
day(s)\"| F((7))\nD --> |\"Finalize
prototype: 4
day(s)\"| G((6))\nG --> H((8))\nF --> |\"Publish
presentation: 1
day(s)\"| I((9))\nE --> |\"Test store layout: 2 day(s)\"| I\nH --> I\nI --> |\"Showcase final design: 2 day(s)\"| J((10))\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_11", "image_path": "OFloChR/img/en_11_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "HOW TO
Write a Project
Proposal\n```mermaid\nflowchart TD\nA((STEP
1)) --> B(Determine project goals and scope)\nB --> C((STEP
2))\nC --> D(Assess resources and requirements)\nD --> E((STEP
3))\nE --> F(Develop the project plan)\nF --> G((STEP
4))\nG --> H(Prepare necessary documentation)\nH --> I((STEP
5))\nI --> J(Write the proposal sections)\nJ --> K((STEP
6))\nK --> L(Prepare the cover and abstract)\nL --> M((STEP
7))\nM --> N(Integrate all materials into the final
proposal document)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_12", "image_path": "OFloChR/img/en_12_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "User Engagement Platform\n```mermaid\nflowchart TD\nA(Create
Account) --> B(Upload
Profile
Picture)\nB --> |Visitor| A\nB --> C(Complete
User Survey)\nC --> |Incomplete| C\nC --> |Complete| D(Select
Interests)\nB --> D\nD --> E(Set
Notification
Preferences)\nE --> F(Browse and
Save Content)\nF --> |Successful
Save| G(View
Recommendations)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_13", "image_path": "OFloChR/img/en_13_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Library Management System Access Workflow\n```mermaid\nflowchart TD\nA((Home
Page)) --> |USER| C(Admin Access)\nA --> |USER| D(Member
Access)\nC --> G(Enter
Username &
Password)\nD --> G\nG --> |Success| H(Proceed to
'Settings' Page)\nH --> K(Add or
Remove
Members)\nK --> L(Generate
Summary
Report)\nL --> M((Logout))\nG --> |Authentication
Failed| J(Authentication
Failed)\nD --> |Authenticated| E(Proceed to
'Profile' Page)\nE --> B(View Recent
Activities)\nB --> F(Manage
Subscriptions)\nF --> I(Update
Account
Details)\nI --> M\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_14", "image_path": "OFloChR/img/en_14_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Project Proposal Submission Workflow\n```mermaid\nflowchart TD\nA(Review Project
Proposal) --> |All documents
are complete| B(Upload
Documents to
System)\nB --> C(Send
'Submission
Successful'
Notification)\nC --> D(Await Approval)\nD --> F{Approved?}\nF --> |Yes| I(Proceed to Next
Phase)\nF --> |No| H(Review
Comments and
Resubmit)\nH --> |After 14 Days| J(Send Reminder
for Revision)\nH --> G(Contact Team
Lead)\nA --> |Incomplete
documents| E(Request Missing
Documents)\nE --> G\nE --> B\nG --> B\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_15", "image_path": "OFloChR/img/en_15_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Project Proposal Review Preparation\n```mermaid\nflowchart TD\nA[Idea has been generated] --> |Y| B[Has the proposal been
written?]\nB --> |Y| E[Summarize key points of the
proposal]\nB --> |N| D[Write the proposal]\nD --> E\nE --> |Y| F[Have stakeholders reviewed
he proposal?]\nE --> |N| G[Send the proposal for
stakeholder review]\nA --> |N| C[Brainstorm new ideas]\nC --> B\nF --> |Y| H[Gather feedback and revise]\nH --> |Y| I[Hold a follow-up meeting
with stakeholders]\nF --> G\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_16", "image_path": "OFloChR/img/en_16_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Product Development
Cycle\n```mermaid\nflowchart TD\nA(Product
Development) <--> C(Team
Collaboration)\nA <--> D(Resource
Allocation)\nA <--> F(Feedback)\nC <--> D\nC <--> F\nD <--> F\nB[Innovative ideas
Streamlined
processes Positive
user feedback] --> C\nD --> E[Increased
efficiency
Enhanced product
quality Improved
satisfaction]\nE --> B\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_17", "image_path": "OFloChR/img/en_17_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "WORKSHOP\nCOORDINATION EPC\n```mermaid\nflowchart TD\nA{{Prepare
Workshop
Topics}} --> C[Coordinate
Speakers]\nB[Audience
Research] --> C\nC --> D([Send
Invitations])\nC --> E{{Finalize
Speaker List}}\nE --> G[Plan Session
Structure]\nF[Confirm Venue] --> G\nG --> H([Workshop
Logistics
Team])\nG --> I[Complete
Session Plans]\nI --> L[Technical
Setup]\nI --> J([Logistics
Coordination])\nK{{Adjust Plans}} --> L\nL --> N([Critical
Decision])\nN --> M{{Review Setup}}\nM --> K\nN --> O{{Proceed with
Workshop}}\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_18", "image_path": "OFloChR/img/en_18_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Purchasing Office\n```mermaid\nflowchart TD\nA[Customer Requests
Service] --> D[Assess Customer
Needs]\nD --> G[Communicate with
Service Providers]\nG --> B[Receive Service
Quote]\nB --> E[Prepare Contract]\nE --> H[Review Contract]\nH --> C[Confirm Contract
Terms]\nC --> F[Execute Service]\nF --> I[Service Completed]\nI --> J([Customer Confirms Service])\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_19", "image_path": "OFloChR/img/en_19_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Marketing Campaign
Management
Process\n```mermaid\nflowchart TD\nA(In need of a marketing
campaign manager) --> B(Collect proposals from
various advertising
agencies)\nB --> C(Evaluate the received
proposals from your team)\nC --> D[Select the most promising
campaign]\nD --> E(Organize a kick-off
meeting with the selected
agency)\nE --> F(Was the campaign
proposal approved?)\nF --> |No| G(Agency is no longer
considered/send feedback
email)\nF --> |Yes| I(Share the approval details)\nF --> H(Plan the next steps with
the approved agency)\nH --> J(Campaign strategy is
finalized)\nJ --> L(Prepare the contract for
the agency)\nL --> N(Is the contract signed?)\nN --> |Yes| O[Monitor the campaign
progress]\nN --> |Yes| P[Conduct campaign
analysis]\nI --> K(Review the agency's past
performance)\nK --> M(Confirm the agency and
finalize the contract)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_1", "image_path": "OFloChR/img/en_1_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Product Launch Plan\nDichotomous Flowchart\n```mermaid\nflowchart TD\nA(Design and Prototyping) --> |Not
satisfa-
ctory| B(Is product design
complete and
approved?)\nB -->|Yes| D(Prepare market research
materials)\nD --> C(Develop production plan)\nC --> F(Is production plan
complete?)\nF --> I(Start small-scale
production)\nF -->|No| L(Refine
production
plan)\nD --> G(Contact suppliers)\nG --> J(Have suppliers
confirmed cooperation?)\nJ -->|Yes| M(Sign
contracts)\nJ -->|No| N(Find
alternative
suppliers)\nD --> E(Prepare product manual)\nE --> H(Write and review
manual)\nH --> K(Does the manual need
revisions?)\nK -->|Yes| O(Mark
areas for
revision)\nK -->|No| P(Print
manual)\nO --> H\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_20", "image_path": "OFloChR/img/en_20_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Revised Mermaid\nFLOWCHART\n```mermaid\nflowchart TD\nA((Project
Initiation)) --> B((Requirements
Analysis))\nB --> D((Solution
Design))\nD --> C((Resource
Allocation))\nC --> F((Implementation
Phase))\nD --> H((Testing
Phase))\nH --> E((Feedback
Collection))\nH --> I((Optimization))\nH --> K((Evaluation
and
Summary))\nH --> J((Project
Completion))\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_21", "image_path": "OFloChR/img/en_21_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "EXPENSE REIMBURSEMENT\nPROCESS\n```mermaid\nflowchart TD\nA([Employee
initiates
reimbursement
request]) --> |Continue| B[Reimbursement
request
submitted]\nB --> |Continue| E[Request
received by
finance
department]\nE --> |Is the
request
complete?| F{{Expenses
Valid?}}\nF --> |Incomplete| C([Notify employee of missing information])\nF --> |Complete| G[Process
approved
reimbursement
request]\nG --> |Continue| H[Approved
request
received by
finance]\nH --> |Continue| J[Record
reimbursement
details]\nJ --> |Proceed to
payment| I[Initiate
payment to
employee]\nI --> D([Notify employee
of payment
status])\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_22", "image_path": "OFloChR/img/en_22_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Design Project\nWorkflow\n```mermaid\nflowchart TD\nA[I want to
brainstorm design\\ideas] --> E[Create initial\\designs using\\Photoshop]\nC[I want to outline\\my brochure
content] --> E\nI[I want to refine and
edit raw images] --> E\nK[I want to finalize
my poster design] --> E\nG --> E\nA --> H[Plan design
elements using
Illustrator]\nH --> B[I want to develop
vector graphics]\nH --> D[I want to create
unique patterns]\nH --> G[I want to explore
different
typography styles]\nH --> J[I want to design a
cohesive set of
icons]\nH --> K\nH --> L[I want to create
minimal graphics]\nF[I want to create
digital art] --> K\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_23", "image_path": "OFloChR/img/en_23_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Step-by-Step
Investment Decision
Workflow\n```mermaid\nflowchart TD\nA[Are you planning your
investment strategy?] --> |YES| B[Identify the reason
for investing]\nA --> |NO| C[Reevaluate your
financial goals]\nB --> D[Diversify your portfolio]\nD --> G[Understand your
chosen investments]\nB --> E[Avoid FOMO-driven
decisions]\nE --> F[Conduct thorough
market research]\nG --> |NO| F\nG --> |YES!| H[Ensure you have enough
savings for essential funds]\nH --> |NO| J[It's time to build savings
before taking risks]\nH --> I[Assess your risk tolerance]\nI --> |NO| J\nI --> |YES| K[Proceed with
investing]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_24", "image_path": "OFloChR/img/en_24_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Logo Design
Process\n```mermaid\nflowchart TD\nA(Do you understand
the purpose of your logo?) --> |NO| B(Research the
importance of a logo)\nB <--> |YES| C(Have you outlined
your design goals?)\nC --> |NO| D(Identify key elements
to include in the logo)\nC --> |YES| E(Do you have a color
scheme in mind?)\nD <--> |YES| E\nE --> |NO| F(Choose a color
palette that reflects
your brand)\nE --> G(Have you created
initial sketches for the
logo?)\nF <--> G\nG --> |NO| H(Start sketching logo
concepts)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_25", "image_path": "OFloChR/img/en_25_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Event Registration and
Coordination Process\n```mermaid\nflowchart TD\nA(ATTENDEE) --> |Register| C((Confirm
Registration))\nC --> |Send Confirmation| A\nC --> |Forward| H(Event
Coordinator)\nC --> G(Registration
List)\nG --> E((Prepare Event
Report))\nE --> I[Event
Manager]\nI --> F((Review
Registrations))\nF --> B(Vendor
Coordination)\nF --> D((Resource
Allocation))\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_26", "image_path": "OFloChR/img/en_26_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "System Update
Workflow\n```mermaid\nflowchart TD\nA[System
Bootup] --> B(Check for
Updates)\nA --> C(Load
Configurations)\nA --> D(Verify System
Integrity)\nC --> E(Apply Saved
Settings)\nC --> F(Restore
Default
Settings)\nD --> G[Initiate Update
Process]\nE --> G\nB --> G\nG --> H(Download and
Install Updates)\nH --> F\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_27", "image_path": "OFloChR/img/en_27_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "```mermaid\nflowchart TD\nA(What do you prioritize in a
laptop?) --> B{High-end
Performance}\nA --> C{Balanced
Performance and
Price}\nB --> D(Do you need your laptop for
professional software?)\nC --> E(How essential is battery life
for you?)\nD --> F((Yes))\nD --> G(I can compromise
on software
compatibility)\nE --> H(Fairly essential)\nE --> I(Crucially essential)\nG --> J(Are you okay with
bulky designs for
better cooling?)\nH --> K(Do you travel often
with your laptop?)\nI --> L(Are you focused on
gaming performance?)\nJ --> M((Yes))\nJ --> N((No))\nK --> O((Yes))\nK --> P((No))\nL --> Q((Yes))\nL --> R((No))\nO --> S(How important are built-in
laptop ports?)\nS --> T(I’m okay with fewer ports
and using adapters)\nS --> U(I need all essential ports
available)\nT --> V(You Should buy a
MacBook)\nU --> W(You Should buy a
Windows Laptop)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_28", "image_path": "OFloChR/img/en_28_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Exploring the
Right Field for
You\nHow I choose?\n```mermaid\nflowchart TD\nA([Enjoy solving complex
problems?]) --> |Yes| C([What type of challenges
interest you?])\nA --> |No| D[Consider exploring alternative
career fields.]\nB([Do you prefer working
alone or in teams?]) --> |Yes| C\nB --> |No| D\nC --> E[Technical,
Analytical
, Strategic]\nC --> F[Creative,
Organizational,
Process-
Oriented]\nF --> G([Prefer leadership roles in creative or operational
fields?])\nE --> H[You excel at
developing
structured solutions]\nH --> |Yes| K[Consider becoming a
Software Engineer/Data
Scientist/Systems Analyst]\nH --> |No| L[Consider pursuing
roles like Researcher
or Data Analyst]\nG --> |Yes| I[Consider roles
such as Project
Manager or
Operations
Director]\nG --> |No| J[Explore paths
like Systems
Architect or
Process
Consultant]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_29", "image_path": "OFloChR/img/en_29_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Housing Decision\nChoosing the
Right Living
Environment\n```mermaid\nflowchart TD\nA([Are you looking for a quiet
neighborhood?]) -.-> |Yes| B([Do you prefer living close to nature?])\nA -.-> |No| C([Are you interested in urban living?])\nB -.-> |Yes| D([Can you accept longer commutes?])\nB -.-> |No| E([Do you enjoy having amenities and services
nearby?])\nC -.-> |Yes| E\nC -.-> |No| D\nD -.-> |No| B\nD -.-> |Yes| F([Do you value privacy and larger living
spaces?])\nE -.-> |Yes| I([Your best choice is living in the city,
enjoying convenient services and facilities])\nE -.-> |No| F\nF -.-> |Yes| G([Your best choice is living in the countryside,
enjoying privacy and spacious living areas])\nF -.-> |No| H([Your best choice is living in the suburbs,
balancing nature and convenience])\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_2", "image_path": "OFloChR/img/en_2_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Choosing New
Interests: Your
Hobby Guide\n```mermaid\nflowchart TD\nA((Do you want a
new hobby to
explore?)) -->|YES| B((Do you prefer
indoor or
outdoor
activities?))\nA -->|NO| J[Consider
a relaxing
vacation]\nB -->|YES| C((Painting or
crafting))\nC --> J\nB -->|YES| E((Reading
or
writing))\nE --> I[Book club]\nB -->|NO| D((Do you enjoy
being active?))\nD -->|NO| F((Do you prefer
low-energy
hobbies?))\nF -->|YES| I\nF -->|NO| J\nD -->|YES| H((Do you want to
learn a new
sport?))\nH -->|YES| G((What level do
you want to
achieve?))\nG -->|BEGIN
NER| M[Tennis]\nG -->|ADVANC
ED| L[Rock climbing]\nH -->|NO| K((Do you want
to explore
nature?))\nK -->|YES| N[Birdwatching]\nK -->|NO| M\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_30", "image_path": "OFloChR/img/en_30_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "MESSAGE SENDING
PROCESS ON MOBILE
DEVICE\n```mermaid\nflowchart TD\nA([IDLE]) --> |ACTIVATE
SCREEN| B([ENTER PIN CODE])\nB --> |PIN
CORRECT| C([GO TO CONTACTS])\nC --> E([OPEN CONTACT
DETAILS])\nE --> H([SEND MESSAGE
CLICKED])\nH --> |VERIFY
PHONE
NUMBER
VALIDITY| G([VALID PHONE
NUMBER])\nG --> |NO| F([DISPLAY ERROR:
MESSAGE NOT SENT])\nG --> |YES| D([MESSAGE SENT
SUCCESSFULLY])\nD --> A\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_31", "image_path": "OFloChR/img/en_31_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Home Lighting System\n```mermaid\nflowchart TD\nA[Power Off] --> B[Turn On Lights]\nB --> C[User Adjusts Brightness]\nC --> D[Set Desired Light Level]\nD --> F[Lighting Adjustment Complete]\nF --> E[Lights Are On]\nF --> A\nE --> H[Power Surge?]\nH --> G[Power Surge Detected]\nH --> K[System Overload]\nG --> J[Trigger Safety Protocol]\nK --> J\nJ --> I[Power Restored?]\nI --> E\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_32", "image_path": "OFloChR/img/en_32_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "User Input and Database Query
Process\n```mermaid\nflowchart TD\nA[Prompt: Enter
your input] -->|Active| B[User Provides
Input]\nB --> C[Extract Key
Information]\nC --> E[Check Against
Database]\nE --> D[Deliver
Outcome]\nD --> A\nE --> F[Ask for More
Information]\nF --> |Processing
Input| B\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_33", "image_path": "OFloChR/img/en_33_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Online Health Consultation Process\n```mermaid\nflowchart TD\nB((Access
Health
Dashboard)) --> A[Find
Health
Advisor]\nB --> C[Complete
Wellness
Assessment]\nE[Did you find the
recommendations
helpful?] --> |NO| A\nE --> |YES| G[Schedule a
Consultation]\nG --> J[Initial Evaluation]\nJ --> I[Diagnostic Imaging]\nI --> H[Treatment Plan]\nH --> F[Is follow-up
necessary?]\nF --> |YES| G\nF --> |NO| D((Finish))\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_34", "image_path": "OFloChR/img/en_34_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Elevator Call Process\n```mermaid\nflowchart TD\nB((Elevator
Doors
Open)) --> |WAIT| A(Entrance Hall)\nA --> C(Selects Desired
Floor)\nE(Any Other Level) --> C\nC --> |Elevator
Departing| D(Arrives at
Selected Floor)\nD --> |WAIT| F(Elevator Pauses
at Selected
Floor)\nG{Is the Elevator
Requested?} --> |Yes| D\nG --> |No| A\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_35", "image_path": "OFloChR/img/en_35_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Online Order Processing\nFLOW\n```mermaid\nflowchart TD\nA((Order Generated)) --> B((Confirm
Customer
Information))\nB --> F((Is information
correct?))\nF --> J((Correct Customer
Information))\nF --> C((Choose Delivery
Method))\nC --> D((Calculate
Shipping Cost))\nD --> E((Order Review
Complete))\nE --> I((Is all inventory
confirmed?))\nI --> H((Is payment
method valid?))\nH --> L((Is coupon valid?))\nH --> G((Follow up with
unpaid customers))\nL --> M((Begin Shipping
Preparation))\nL --> K((Confirm Order
Processing))\nM --> N((Send Shipping
Notification))\nK --> N\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_36", "image_path": "OFloChR/img/en_36_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Restaurant Menu
Update\n```mermaid\nflowchart TD\nA(Market Research) --> B(Select New Dish
Type)\nB --> C(Is it a Seasonal
Dish?)\nC --> |Yes| D(Create Seasonal
Dish Display)\nC --> |No| E(Create Standard
Dish Display)\nD --> F(Write Region-
Specific Dish
Descriptions)\nF --> G(Is Everything
Ready?)\nE --> H(Write General Dish
Descriptions)\nH --> G\nG --> I(QA & Publish Menu)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_37", "image_path": "OFloChR/img/en_37_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Event Management\n```mermaid\nflowchart TD\nA(Start) --> B(Budgeting)\nB --> C(Setup Venue)\nC --> D(Wrap-up
Event)\nA --> E(Define Event
Scope)\nE --> F(Adjust Event
Details)\nF --> G(Coordinate
Event
Logistics)\nG --> H(Evaluate
Event
Success)\nH --> L(Document
Key
Takeaways)\nI(Identify
Safety
Measures
and
Compliance) --> J(Evaluate Safety
Risks)\nJ --> K(Monitor
Safety
Protocols)\nK --> L\nM(Draft Initial
Event Plan) --> O(Revise Event
Plan)\nO --> P(Oversee
Event
Execution)\nP --> Q(Compile Event
Documentation)\nQ --> L\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_38", "image_path": "OFloChR/img/en_38_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Employee Development
Journey\n```mermaid\nflowchart TD\nA(Initial Trainin
Session) --> B(Assign Mentor)\nB --> C(Feedback Session)\nC --> D(Positive Feedback)\nD --> H(Complete
Certification)\nD --> G(Prepare for Exit
Interview)\nH --> L(Submit Project
Portfolio)\nL --> K(Prepare for Exit
Interview)\nK --> F(Career Path
Discussion)\nF --> J(Advanced Skills
Workshop)\nJ --> E(Integration into
Team)\nE --> I(First Month
Review)\nI --> M(Three Month
Progress
Assessment)\nM --> N(Six Month
Performance
Evaluation)\nN --> O(One Year
Reflection)\nO --> P(Development
Journey Complete)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_39", "image_path": "OFloChR/img/en_39_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Product
Development\n```mermaid\nflowchart TD\nG(Requirement
Analysis) --> J(Design
Solution)\nJ --> K(User Testing
Feedback)\nJ --> I(Create Product
Prototype)\nI --> F(Implement Feature
Modules)\nF --> D(Is there a market
demand?)\nD --> |YES| C(Is the business
model clear?)\nK --> H(Iterate and
Optimize Design)\nH --> E(Are user pain
points identified?)\nE --> |NO| C\nC --> B(Is the target
audience defined?)\nB --> A(Market Strategy/Promotion
Plan)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_3", "image_path": "OFloChR/img/en_3_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Essentials for Launching a New Solution\nDICHOTOMOUS FLOWCHART\n```mermaid\nflowchart TD\nA(Identify key
challenges) --> B(Conduct thorough
analysis);\nB --> D(Can you grasp the
overall vision?)\nD --> |Yes| F(Design the solution)\nD --> |No| B\nF --> H(Consult
specialists,
conduct a poll)\nH --> J(Are users
interested in the
solution?)\nJ --> |Yes| K(Refine solution
based on insights)\nJ --> |No| F\nK --> I(Begin
development)\nI --> G(Advertise and
Publicize)\nG --> E(Implement value
propositions in
phased releases)\nE --> C(Gather user
insights)\nC --> H\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_40", "image_path": "OFloChR/img/en_40_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "New Employee
Onboarding Process\n```mermaid\nflowchart TD\nA(New position
opened) --> C(Need external
recruitment?)\nC --> |No| B(Evaluate
internal
candidates)\nC --> |Yes| D(Post job
advertisement)\nD --> G(Screen resumes)\nG --> I(Schedule
interviews)\nI --> E(Select suitable
candidate?)\nB --> E\nE --> |Yes| F(Provide role-
specific training)\nF --> H(Evaluate
training
effectiveness)\nE --> |No| J(Reassess hiring
needs)\nJ --> K(Consider
internal
transfers)\nK --> L(Team
integration
activities)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_41", "image_path": "OFloChR/img/en_41_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Revenue Optimization Strategy\n```mermaid\nflowchart TD\nC(Analyze cost-saving
opportunities) --> B(Evaluate current
expenditure levels)\nB --> A(Review previous budgeting
data)\nC --> D(Is there potential
to reduce costs?)\nD --> |No| E(Develop new budget
strategies)\nD --> |Yes| H(Cut unnecessary expenses)\nC --> F(Implement subscription
model)\nF --> G(Do we have customer
testimonials?)\nG --> |No| K(Collect feedback from
existing customers)\nG --> |Yes| I(Launch marketing
campaign)\nI --> J(Adjust strategy based on
results)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_42", "image_path": "OFloChR/img/en_42_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Referral Program
Implementation Flow\n```mermaid\nflowchart TD\nA(STEP 1 Embed tracking
script in your HTML?) --> B(Navigate to your
platform)\nB --> C(Register using your
registration form)\nD(STEP 3 Append
tracking parameters to
the URL) --> C\nC --> E(Redirected to your
Confirmation page)\nE --> F(Automatically enrolled
in the rewards
program)\nF --> G(Receives a Welcome
email with unique link)\nH(STEP 4 Insert widget
code on your page) --> I(View rewards widget
on Confirmation)\nF --> I\nI --> J(Copy unique referral
link)\nJ --> K(Invited user registers
using your registration
form)\nK --> B\nK --> L(Reward notification
sent to the referrer)\nL --> |Rewards widget data refreshed| I\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_43", "image_path": "OFloChR/img/en_43_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Daily Productivity
Decision\n```mermaid\nflowchart TD\nA(Start Here) --> B(Is it a
workday?)\nB --> |Yes| C(Do you
have a
project
deadline
today?)\nC --> |Yes| D(Organize
your tasks
for the day.)\nD --> H(Time to
enjoy a cup
of coffee!)\nB --> |No| F(Do you
have
personal
errands to
run?)\nF --> E(Do you plan
to relax at
home?)\nE --> |No| I(Will you meet
friends later?)\nE --> |Yes| K(Enjoy your
downtime
at home.)\nI --> |No| H\nI --> |Yes| J(Plan your
outing and
have fun.)\nC --> |No| G(Will you
work on self
-improvement
today?)\nG --> |No| K\nF --> |Yes| K\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_44", "image_path": "OFloChR/img/en_44_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Customer Feedback Handling Process\n```mermaid\nflowchart TD\nB[Customer submits feedback. Is
further confirmation of
feedback details needed?] --> |YES| A[Contact customer to
confirm specific details of
the feedback.]\nB --> |NO| C[Begin processing
feedback. Is additional
support material
required?]\nC --> |YES| D[Gather necessary
support materials.
Preparation time is
2 to 4 business
days.]\nC --> |NO| E[Process feedback directly.
Expected processing time
is 4 to 6 business days.]\nD --> G[Review feedback
processing results. Does
the handling meet
customer expectations?]\nE --> G\nG --> |YES| K[Notify customer that
processing is complete. Is
follow-up needed?]\nG --> |NO| I[Adjust handling
plan. Forward
feedback to the
relevant
department for
corrections.]\nI --> G\nH[Customer
feedback
results have
been sent] --> F[Conduct satisfaction
survey. Customer
completes the survey
within 1 week.]\nH --> J[No satisfaction
survey conducted. Is
a follow-up email
needed?]\nJ --> |YES| F\nJ --> |NO| K\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_45", "image_path": "OFloChR/img/en_45_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Kettle Boiling Process\n```mermaid\nflowchart TD\nB(Thermostat
Activated) --> |Start Heating| A(Ready)\nB --> E(Heating Element
On)\nB --> |Vent
Open| E\nE --> G(Water in Kettle)\nG --> F(Timer Set)\nF --> D(Vent Closed)\nD --> C(Water Boiled)\nC --> |Timer
Goes Off| A\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_46", "image_path": "OFloChR/img/en_46_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Event Planning Process\nFlowchart\n```mermaid\nflowchart TD\nC(Plan Event) --> |Yes| A(Have the organizers
confirmed the venue?)\nC --> |No| B(Confirm budget and
availability)\nC --> E(Identify main activities
and backup activities)\nE --> G(Create event schedule)\nG --> H(Do the activities require
equipment?)\nH --> |Yes| D(Work with suppliers to
arrange rentals)\nD --> J(Finalize event plan)\nH --> |No| J\nG --> F(Do you have all
necessary permits?)\nF --> |Yes| I(Communicate with
authorities about event
details)\nF --> |No| J\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_47", "image_path": "OFloChR/img/en_47_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Event Planning Process\n```mermaid\nflowchart TD\nA[Initial brainstorming
session for event
ideas] --> C[Collaborate with
sponsors to outline
event goals]\nC --> E[Develop event
agenda in phases]\nE --> G[Is the event theme
finalized?]\nG --> |Yes| B[Is marketing strategy
needed?]\nG --> |No| H[Add to future
planning list]\nB --> |Yes| D[Create promotional
materials]\nB --> |No| F[Set timelines for
logistics]\nD --> F\nF --> I[Prepare briefing for
volunteers]\nI --> J[Mark event as ready]\nL --> |No| H\nL --> |Yes| F\nM[Are there any
unforeseen
challenges?] --> J\nM --> |Yes| K[Coordinate with the
team to prioritize
challenges]\nK --> L[Is the challenge
significant?]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_48", "image_path": "OFloChR/img/en_48_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Recipe Creation Process\n```mermaid\nflowchart TD\nA[Is this a new recipe idea?] --> |yes!| B(Start with basic
ingredients!)\nA --> |no| C([Do you have a tried-and-
true recipe on hand?])\nC --> |yes!| D[Consult a Cooking
Expert Risks of altering
include: Loss of flavor
Overcooked ingredients
Unbalanced textures]\nC --> |no| E([Do you have a lot of
cooking experience?])\nE --> |yes!| F[Check if your previous
recipes can be adapted
to this new idea.]\nE --> |no| G([Have you invested a lot in
kitchen tools?])\nF -.-> G\nG --> |no| H(GO FOR IT!
Experiment with your
cooking techniques
for this new recipe.)\nG --> |yes!| I([Are you using a complex
cooking method?])\nI --> |no| J[Consider Trying! Think
about trying a new cooking
method. You'll lose some
familiarity but gain new
skills and flavors.]\nI --> |yes!| K[Decision Point! If your
current method works well
and you're satisfied with
your results, consider
sticking with it.]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_49", "image_path": "OFloChR/img/en_49_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "PROJECT PROGRESS
ANALYSIS PROCES\n```mermaid\nflowchart TD\nA(\"Identify project status
(meeting)\") --> |ON TRACK| B(\"Review resource
allocation
(spreadsheet)\")\nA --> |DELAYED| C(\"Analyze project
timeline (Gantt
chart)\")\nB --> |OVERALLOCATED| D(RESOURCE
ISSUES)\nB --> |ALLOCATED| E(RESOURCE
OPTIMIZATION)\nC --> |BEHIND SCHEDULE| F(TASK ISSUES)\nC --> |ON SCHEDULE| G(PROGRESS
MONITORING)\nD --> H(\"Which resources
are stretched?
(team input)\")\nH --> K(Assess
workload - Is
the overload
temporary?)\nK --> |YES| N(Reassign tasks)\nK --> |NO| P(Hire
additional
resources)\nE --> J(\"Which resources
can be optimized?
(review current
tasks)\")\nF --> Q(Check for external
factors affecting
timelines. Use
feedback and data
analysis to identify
issues.)\nG --> I(\"Verify by
reviewing
progress reports
(checklists)
expect them to
be positive\")\nI --> L(\"Identify tasks
(checklists) -
which are
causing delays?\")\nL --> M(Assess history -
Is the delay an
anomaly?)\nM --> |YES| O(Reassign tasks)\nM --> |NO| R(Consider
extending
deadlines)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_4", "image_path": "OFloChR/img/en_4_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Is Your Employee Onboarding
Process Effective?\nGoals and Support\n```mermaid\nflowchart TD\nA[Does your company
have a structured
onboarding plan for
new employees?] --> |Yes| B[Are all department
heads aligned on the
onboarding
objectives and
expectations?]\nB --> |No| C(Conduct a meeting
with department
heads to align on
objectives and
expectations for
onboarding)\nB --> |Yes| F[Do you have a
system to track new
employee progress
throughout the
onboarding process?]\nC --> F\nF --> |No| E(Set up a system to
track employee
progress through
feedback and
reviews.)\nF --> |Yes| I[Do you know what
skills and resources
your new employees
need to succeed?]\nE --> I\nI --> |Yes| J[Have you asked the new
employees what additional
support they might need?]\nI --> |No| N(Conduct one-on-one
meetings and
surveys to assess
employee needs and
concerns. Use the
findings to tailor
support.)\nJ --> |Yes| L[Do their needs align
with your onboarding
objectives and
company's long-term
goals?]\nJ --> |No| N\nN --> L\nL --> |Yes| M([Excellent! Continue with the
onboarding process and
provide additional resources
as needed.])\nL --> |No| K[It seems like you need
to reassess your
onboarding strategy
and adjust objectives.]\nK --> H\nH --> B\nA --> |No| D[No worries. Let's start by
developing a comprehensive
onboarding plan.]\nD --> H(Create an
onboarding plan
that includes
objectives,
timeline, and
resources to help
new employees
integrate
successfully.)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_5", "image_path": "OFloChR/img/en_5_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "PREPARING
ADVENTURE
TOOLS\nFor your grand expedition\n```mermaid\nflowchart TD\nE(Adventure
Plan
Development) --> F(Is there
treasure to
uncover
here?)\nF --> |N| J(Review the
plan and
search for
a new map)\nJ --> F\nF --> |Y| G(Can I
complete
this
adventure
on my own?)\nG --> |Y| D(Gear up
and
embark on
the
adventure)\nD --> B(Record
adventure
findings)\nB --> C(Discover
treasure)\nC --> |N| A(Adjust
the route)\nA --> B\nC --> |Y| K[Cheer!
Continue the
adventure and
explore more]\nD --> |Y| H(Can I hire
some help?)\nH --> |N| I(Do I want to
change
direction and
continue the
adventure?)\nI --> |N| L[Adventure
ends]\nI --> |Y| J\nG --> |N| H\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_6", "image_path": "OFloChR/img/en_6_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Payment Services Support
Representative\n```mermaid\nflowchart TD\nA[Customer requests support] --> B[Is the request about account
access?]\nB --> |Y| E[Verify identity with security
questions]\nE --> H[Gather user account details]\nH --> J[Check account status]\nJ --> M[Notify customer via email]\nA --> C[Is the request regarding
transaction issues?]\nC --> |Y| F[Review transaction history]\nF --> I[Determine transaction
location]\nI --> K[Is the transaction from a
flagged region?]\nK --> N[Notify customer about
restrictions]\nK --> |N| O[Ask for more details on the
transaction]\nA --> D[Is the request about product
features?]\nD --> |Y| G[Is the inquiry for general
suggestions?]\nG --> |Y| L[Send feedback form for
improvements]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_7", "image_path": "OFloChR/img/en_7_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "Product Launch Decision
Guide\n```mermaid\nflowchart TD\nA[ARE YOU
PLANNING A
PRODUCT
LAUNCH?] --> |Yes, we just
started| B[HOW MANY
TIMES HAVE YOU
CHANGED THE
LAUNCH DATE?]\nA --> |Yes, it's been in
the works for a
while| C[DO YOU WORK
FROM THE
OFFICE MOST OF
THE TIME?]\nB --> D([At least twice])\nB --> E[We’ve stayed pretty
consistent]\nD --> |Yes, it’s been
stressful| I[Maybe reconsider
the timeline and
reassess priorities.]\nD --> |No, we’re
confident now| H[IS THIS DELAY
DUE TO SUPPLY
CHAIN ISSUES?]\nH --> K[Nope, it's all
internal]\nH --> L[Yes, it is affecting
our timelines]\nK --> O[Move forward with
the current schedule,
you're well-prepared.]\nL --> P[Hold off on the
launch until
logistics
stabilize.]\nE --> F[HAVE YOU STOPPED
TESTING YOUR
PRODUCT
REGULARLY?]\nF --> |No| H\nF --> |Yes| J[ARE YOU
READY FOR A
FULL-SCALE
LAUNCH?]\nJ --> M[Not really, we
need more time]\nM --> Q[Take it slow and
prepare thoroughly,
starting with soft
launches.]\nJ --> N[Yes, we’re
all set and
excited]\nN --> S[Great! Go
ahead and launch.]\nC --> |Yes, we basically
live at the office| J\nC --> |Not always| G[DO YOU MIND
WORKING
REMOTELY
MORE OFTEN?]\nG --> |Not at all| J\nG --> |It’s
difficult| R[You'll need to
adjust, remote
work is
inevitable.]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_8", "image_path": "OFloChR/img/en_8_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "HOW TO PREPARE
FOR A PRODUCT
LAUNCH DAY\n```mermaid\nflowchart TD\nA(HOW TO PREPARE
FOR A PRODUCT
LAUNCH DAY) --> C[HAVE YOU ASSIGNED THE
TASKS TO YOUR TEAM?]\nC --> |Yes| E[HAVE YOU DOUBLE-
CHECKED ALL ppDELIVERABLES?]\nC --> |No| B[DO YOU HAVE A TEAM OR
ARE YOU DOING THIS
ALONE?]\nE --> G[MAKE SURE TO
HAVE A BACKUP
PLAN]\nG --> |YES, I HAVE| E\nG --> H[IS YOUR TIMELINE
TOO TIGHT TO
ADJUST?]\nH --> |Yes,
unfortunately| K[RECONSIDER YOUR
DEADLINES OR
EXPECT DELAYS]\nE --> I(GREAT! NOW FINALIZE
YOUR PRESENTATION
AND PLAN THE DEMO.)\nB --> |Yes| I\nB --> |No| D[ARE YOU USING
OUTSOURCING
SERVICES TO ASSIST?]\nD --> F[SO YOU'RE DOING
EVERYTHING
YOURSELF, HOPE
YOU HAVE EXTRA
TIME!]\nD --> |Yes| I\nF --> J[ARE YOU SURE
YOU HAVE ALL THERESOURCES YOU
NEED?]\nJ --> |Yes, but
barely| L[CONSIDER
EXPANDING YOUR
TEAM OR EXPECT
OVERWORK]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_en_9", "image_path": "OFloChR/img/en_9_flowchart.jpeg", "prompt": "Please recognize and parse the flowchart in the figure and output it in Mermaid format. Text outside the flowchart is output in plain text. Use '
' as the line break symbol for text.", "answer": "```mermaid\nflowchart TD\nA[Plan new event] --> B(Need a
theme?)\nB --> C[Research
audience,
event goals]\nC --> D[Develop
event plan]\nD --> |Yes| E[Announce
event details]\nD --> |Yes| G[Coordinate
with
logistics
team]\nD --> |No| H[Hire external
event coordinator]\nH --> I(Event
preparation)\nG --> I\nB --> F[Adapt previous
event template]\nF --> I\nI -.-> J[Set objectives
and key
deliverables]\nJ -.-> K[Review
budget and
resource
availability]\nK -.-> L[Need more
resources?]\nL -.-> |Yes| N[Secure
resources and
monitor
progress]\nL -.-> |No| M[Track event
execution]\nN -.-> M\nM -.-> Q[Event
objectives met]\nQ --> |No| L\nQ -.-> |Yes| P[Evaluate event
success]\nP -.-> O[Review
strategies and
participant
feedback]\nO -.-> J\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_0", "image_path": "OFloChR/img/zh_0_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "组合模板灌注砼施工\n```mermaid\nflowchart TD\nA[施工测量] --> B[初期支护基面处理]\nB --> C[铺设防水层]\nC --> D[安装仰拱钢筋]\nD --> E[安装加固仰拱衬砌拱架]\nE --> F[安装模板、浇筑仰拱砼]\nF --> G[拆模]\nG --> H[隧底砼填充]\nH --> |下一循环| C\nH --> I[安装边墙、拱部钢筋]\nI --> J[定中线、标高、拼装衬砌台架]\nJ --> K[顶拱拱架就位固定]\nK --> L[边墙端架就位固定]\nL --> M[检查各部位尺寸]\nM --> N[安装模板、浇筑边墙、拱部砼]\nN --> O[砼养护]\nO --> P[松开墙架顶调节杆]\nO --> Q[衬砌背后注浆]\nP --> R[拆除墙部模板]\nR --> S[松开拱架调节杆]\nS --> T[拆除拱部模板]\nT --> |下一循环| I\nU[钢筋制作] --> D\nU --> I\nV[施工缝处理] --> J\n```\n图5.4.33 组合", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_10", "image_path": "OFloChR/img/zh_10_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[确定问题] <--> B[必要时重复
所有步骤]\nA[确定问题] <--> C[分析问题]\nB <--> D[在新的情形中
运用所学知识]\nC <--> E[形成假设]\nD <--> F[总结所学知识/
成果展示与评价]\nE <--> G[确定已知]\nF <--> H[还有哪些
知识未学？]\nG <--> I[确定所
需信息]\nI <--> J[确定资源]\nJ <--> K[收集新的
信息]\nK <--> L[整理新
的信息]\nK <--> M[资源评价]\nL --> N[问题完成？]\nN --> |是| H\nN --> |否| B\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_11", "image_path": "OFloChR/img/zh_11_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[开挖左侧上台阶土方] --> B[支立拱部格栅、中隔壁和横联]\nB --> C[喷射混凝土]\nC --> D[开挖左侧下台阶土方]\nD --> E[支立墙底格栅、中隔壁和横联]\nE --> F[喷射混凝土]\nF --> G[开挖右侧上台阶土方]\nG --> H[支立拱部格栅]\nH --> I[喷射混凝土]\nI --> J[开挖左侧下台阶土方]\nJ --> K[支立墙底格栅]\nK --> L[喷射混凝土]\nL -.-> |循环| A\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_12", "image_path": "OFloChR/img/zh_12_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA((开始)) --> B[\"参数初始化$N_{ed}$，$N_{re}$，$N_{c}$，$P_{ed}$，S， $N_{s}$\"]\nB --> C{\"迁移次数
$N_{ed}$达到？\"}\nC --> |否| D{\"繁殖次数
$N_{re}$达到？\"}\nC --> |是| E(算
法
结
束
)\nD --> |是| F[按选定概率
进行迁移]\nD --> |否| G{\"趋化次数
$N_{c}$达到？\"}\nF --> C\nG --> |否| H[随机
变向]\nG --> |是| I[群内
差分
繁殖]\nH --> |位优| J[\"游动
（$N_{s}$）\"]\nJ --> G\nI --> D\n```\n图5-2 细菌觅食优化算法流程", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_13", "image_path": "OFloChR/img/zh_13_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA([START]) --> B[/输入 x,y,z/]\nB --> C{x+y≤z}\nC --> |T| D[/输出“不能构成三角形”/]\nC --> |F| E[\"|x-y|>2\"]\nD --> F([END])\nE --> |T| D\nE --> |F| G[\"$p\\Leftarrow (x+y+z)/2$
$A\\Leftarrow \\sqrt{p(p+x)(p+y)(p+z)}$\"]\nG --> H[/输出 \"A=\";A/]\nH --> F\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_14", "image_path": "OFloChR/img/zh_14_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[指导评价] --> B[发现问题]\nA[指导评价] --> C[分析问题]\nA[指导评价] --> D[解决问题]\nA[指导评价] --> E[展示成果]\nB --> F[提出问题]\nB --> C\nC --> G[设计方案]\nC --> D\nD --> H[动手实验]\nD --> E\nE --> I[总结反思]\nF --> G\nG --> H\nH --> I\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_15", "image_path": "OFloChR/img/zh_15_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[历史数据分析] --> B[重大事故]\nB --> C[频率估算]\nB --> D[后果估算]\nC --> E[风险计算]\nD --> E\nE --> F[风险评价]\nF --> G{评价结论}\nG --> |Y| H((结束))\nG --> |N| I[风险减缓]\nI --> J[危害分析]\nJ --> B\nK[有关标准] --> F\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_16", "image_path": "OFloChR/img/zh_16_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[信息源] --> B[选择信息]\nB --> C[概念分析]\nC --> D[词汇替换]\nD --> F[信息数据库]\nF <--> E[初步检索结果集]\nE --> I[相关性判断与反馈]\nI --> H[获取所需信息]\nN[信息用户] --> O[信息需求]\nO --> P[检索提问]\nP --> M[概念分析]\nM --> L[词汇替换]\nL --> K[构造检索式]\nK --> J[检索词与标引
词匹配运算]\nG[系统检索语言] --> D\nG --> L\nJ --> F\nI --> P\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_17", "image_path": "OFloChR/img/zh_17_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "环境风险评估\n```mermaid\nflowchart TD\nA[有毒物质泄露到大气中] --> B[储存罐破裂]\nA --> C[保险控制失效]\nB --> D((正常操作
条件下储
存罐破裂))\nB --> E[储存罐
压力超
过设计
极限值]\nC --> F[压力超
过了保险阀所
能承受的压力]\nC --> G((由于没有
水而无法
冷却))\nE --> H[储存罐温度上升
到设计极限值]\nE --> I((安全阀不
能开启))\nH --> K[冷冻
控制失效]\nH --> J[手动制冷失效]\nJ --> L[阻塞
水管]\nJ --> M[操作
者失误]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_18", "image_path": "OFloChR/img/zh_18_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[调查研究分层教学方面的文献资料，对现有支持分层教学的系统进行考察
研究，与中学教师交流，了解教学一线对分层教学的实际需要，确定研究
方向] --> B[为课题的开展进行理论方面的研究与准备，通过与一线教师沟通，得到一
组系统功能的基本需求，结合当前WEB应用系统的开发方向和本人的
系统开发能力，进行系统开发的可行性研究，最终明确系统的开发方向、功能
与规模]\nB --> C[系统开发的需要分析、总体设计（系统架构设计和数据库设计）]\nC --> D[各子模块的详细设计（界面、编码）]\nD --> F[系统原型版本]\nF --> G[教师试用、学生试用，提出修改意见]\nG --> H[收集、整理
开发笔记，
记录系统运
行数据，开展论文
腹稿工作]\nH --> J[大规模测
试、正式
使用]\nH --> N[论文撰写]\nI[编译生成可发布的运行版本] --> J\nJ --> K[获取运行数
据，观察、
分析使用效果]\nJ --> L[与一线教师讨
论、反思]\nJ --> N\nN --> O[论文定稿]\nK --> M[代码优化、性
能调整]\nL --> N\nL --> M\nG --> E[修改]\nM --> E\nE --> C\nE --> D\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_19", "image_path": "OFloChR/img/zh_19_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA((开始)) --> B[\"参数初始化$N_{ed}$，$N_{re}$，$N_{c}$，$P_{ed}$，S，$N_s$\"]\nB --> D{\"迁移次数
$N_{ed}$达到？\"}\nD --> |是| E(终
止
算
法)\nD --> |否| F{\"繁殖次数
$N_{re}$达到？\"}\nF --> |是| C[按选定概率
进行迁移]\nC --> D\nF --> |否| G{\"趋化次数
$N_c$达到？\"}\nG --> |是| H[细胞
繁殖]\nG --> |否| J[选定环境
感知方向]\nH --> F\nJ --> |位置 更新| I[\"游动
（$N_{s}$）\"]\nI --> G\n```\n图4-1 环境感知BFO算法逻辑流程", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_1", "image_path": "OFloChR/img/zh_1_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA(开始) --> B[x0，y0置S-P表格0-1矩阵左下角坐标值；i=SN-1；]\nB --> C[\"y0=y0+DY*YI[i]\"]\nC --> D{i>=0}\nD --> |NO| E(结束)\nD --> |YES| F[以x0，y0为起点，（x0-DX），y0为终点画线]\nF --> G[x0=x0-DX；i=i-1]\nG --> H{i>=0}\nH --> |NO| D\nH --> |YES| I[\"n=YI[i+1]-YI[i]\"]\nI --> J{n<0}\nJ --> |NO| K{n>0}\nJ --> |YES| L[应用程序出现错误，转向出错信息页
面。这种错误是由“按学生得分排
序”模块引起，即其给出的学生排序
没有按得分由高到低排列]\nK --> |NO| D\nK --> |YES| M[以x0，y0为起点，x0，（y0+DY*n）为终点画线]\nM --> N[y0=y0+DY*n]\nN --> D\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_20", "image_path": "OFloChR/img/zh_20_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[计算S，H及
排斥积分，
令F=H] --> B[\"解$FC=\\epsilon SC$
求C及对角
矩阵$\\wedge$\"]\nB --> C[构成密度
矩阵P]\nC --> D[构成F
计算E]\nD --> E[判断
是否自治]\nE --> |是| F[终止]\nE --> |否| B\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_21", "image_path": "OFloChR/img/zh_21_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[事前的学习研究] --> B[确定培训技能、编写教案]\nB --> C[提供示范]\nC --> D[微型课：微型课堂
角色
准确记录]\nD --> E[反馈评价：重放录像
自我分析
讨论分析]\nE --> F[修改教案]\nF --> G[教学实习]\nF --> D\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_22", "image_path": "OFloChR/img/zh_22_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[原始文献
（一次文献）] --> |文献整理| B[二次文献]\nA --> |重组、浓缩| C[三次文献]\nB --> D[书目
题录
索引
文摘]\nC --> E[词典
名录
指南
手册
年鉴]\nC --> F[评述
论文丛集
百科全书]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_23", "image_path": "OFloChR/img/zh_23_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[施工准备] --> D[人工挖孔桩]\nB[交通疏解] --> D\nC[管线改迁] --> D\nD --> E[开挖基坑（采用土钉墙）、施工横梁]\nE --> F[垫层、脚手架、凿毛、植筋、绑扎钢筋]\nF --> G[预应力托换梁施工（后张法）]\nG --> H[托换千斤顶安装、顶升]\nI[监控量测] --> H[托换千斤顶安装、顶升]\nH --> J[截桩、浇筑砼、拆除脚手架、回填、恢复地面]\nJ --> K[施工暗挖隧道]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_24", "image_path": "OFloChR/img/zh_24_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[施工准备] --> B[冻结孔施工]\nA --> C[冻结站安装]\nB --> D[冻结运转积极冻结和维护冻结]\nC --> D\nB --> E[开挖准备]\nC --> E\nE --> F[开挖、临时支护]\nF --> G[永久支护]\nD --> H[融沉注浆充填]\nG --> H\nH --> I[冻结孔封堵]\nH --> J[冷冻站系统拆除]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_25", "image_path": "OFloChR/img/zh_25_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[零件到达] --> B[粗加工]\nB --> C{检验}\nC --> D[返修加工]\nC --> |合格| G[精加工]\nD --> E{返修检验}\nE --> F[废品]\nE --> |合格| G\nF --> |不合格| H{最后检验}\nG --> H\nH --> |合格| I[成品]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_26", "image_path": "OFloChR/img/zh_26_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[设定初始土压力值P] --> B[设定推进千斤顶速度]\nB --> C[起动设备掘进]\nC --> D{检查扭矩是否为正}\nD --> |是| B\nD --> |否| F[\"量测土压仓内压力$p_{1}$\"]\nF --> H{\"$P_{1}$与P相比较\"}\nH --> |\"$P_{1}$>P\"| E[增大出土量]\nH --> |\"$P_{1}$ C\nG --> C\nH --> |\"$P_{1}=P_{0}$\"| I{地层沉降监测}\nI --> |正常| J[进入正常循环作业]\nJ --> |隆起、沉陷| A\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_27", "image_path": "OFloChR/img/zh_27_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[登录] --> B[学生用户控制中心]\nA --> C[教师用户控制中心]\nB --> D[课程学习]\nB --> E[答题查询分析]\nC --> F[教学设计]\nC --> G[同步教学]\nC --> H[S-P分析]\nC --> I[系统设置]\nC --> J[资源管理]\nD --> K[课程单元选择]\nD --> L[答题]\nD --> M[答题参考]\nF --> N[浏览查询]\nF --> O[登记教案]\nF --> P[教案属性设置]\nF --> Q[教案内容编辑]\nG --> R[课程单元选择]\nG --> S[同步参数设置]\nH --> T[课程单元模块选择]\nH --> U[群体/个体选择]\nH --> V[参数设置]\nH --> W[分析]\nW --> X[常规统计分析]\nW --> Y[S-P分析]\nX --> Z[显示分析数据]\nX --> AA[图形显示]\nY --> AB[显示S-P图像]\nJ --> AC[阅读理解]\nJ --> AD[单项选择]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_28", "image_path": "OFloChR/img/zh_28_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA(任务开始) --> C(研究化学新课标)\nB(相关资料搜集) --> C\nD(前期技术准备) --> C\nC --> E(需求分析和专题选取)\nE --> G(网站的教学设计)\nF(专题结构化知识分析) --> G\nH(功能模块的设计) --> G\nG --> J(系统开发实施)\nI(开发技术路线选取) --> J\nK(功能模块实现、建造网站原型) --> J\nJ --> |Yes| L{运行调试通过否？}\nL --> |No| G\nL --> |Yes| M{教学实践、评价通过否？}\nM --> |No 配合行动研究进行多轮反复| G\nM --> N(网站发布、任务结束)\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_29", "image_path": "OFloChR/img/zh_29_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[葡萄糖] --> |EMP| B[丙酮酸]\nB --> |磷酸烯醇式丙酮酸羧
化酶或丙酮酸羧化酶| C[草酰乙酸]\nB --> |丙酮酸脱氢酶复合体| D[乙酰CoA]\nC --> |柠檬酸合成酶| E[柠檬酸]\nD --> |柠檬酸合成酶| E\nE --> F[TCA循环]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_2", "image_path": "OFloChR/img/zh_2_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[设备材料进场] --> B[锚索组装]\nA --> C[钻机就位]\nB --> D[\"锚索尺寸及
质量检验\"]\nC --> E[钻孔]\nD --> F[穿索]\nE --> F\nF --> G[锚固段注浆]\nG --> H[自由段注浆]\nH --> I[补充注浆（N次）]\nI --> J[张拉]\nJ --> K[补充张拉]\nK --> L[锚头防护处理]\nL --> M[结束，进入维护阶段]\nN[\"钻孔位置、角度、
孔径、倾角的测量\"] --> C\nO[钻孔质量检验] --> F\nP[注浆体试件强度] --> |合格| G\nQ[间隔2 ~ 4小时] --> H\nR[安装锚具] --> I\nS[张拉系统标定] --> J\nT[预应力梁值确定] --> K\n```\n图8.4.5", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_30", "image_path": "OFloChR/img/zh_30_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA((开始)) --> B[\"参数初始化$L_{max}$，$N_{s}$，$S_{min}$，$S_{max}$\"]\nB --> C[\"细菌状态标定(Life,Dis,Clone)\"]\nC --> D{\"最大循环
$L_{max}$达到？\"}\nD --> |是| E(算法结束)\nD --> |否| F[细菌随机
翻转]\nF --> H{适应度增加？}\nH --> |否| J[增加细菌退
化次数Dis]\nJ --> I{执行Dis和
Life判断}\nI --> G[细菌消亡
Dis、Life]\nG --> D\nJ --> L[增加细菌
寿命Life]\nH --> |是| K[细菌游动Run]\nK --> M{游动Ns步？}\nM --> |是| N[标定Clone进行
细菌繁殖]\nN --> L\nM --> |否| L\n```\n图6-12 菌落生态自由分布觅食优化算法流程", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_31", "image_path": "OFloChR/img/zh_31_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[击昏和致死] --> B[放血]\nB --> C[吞噬细胞
停止活动]\nB --> D[缺氧]\nC --> E[微生物生长]\nD --> F[氧化还原电位降低]\nF --> H[\"呼吸停止
$CO_{2}+H_{2}O+37ATP$\"]\nF --> I[糖酵解开始]\nF --> Q[蛋白质变性；
酶失活；
肌浆内质网变性]\nG[糖原] --> H\nJ[甘油三酯+磷脂] --> S[游离脂肪酸]\nO[脂酶] --> S[游离脂肪酸]\nS -->W[脂类的氧化]\nW --> Y[肉的质量]\nH --> K[ATP+肌酸磷酸降低]\nK --> P[僵直]\nP --> T[代谢物和其他风
味前物质的蓄积]\nT --> Y\nQ --> Y\nI --> L[糖原]\nL --> M[乳酸]\nL --> R[pH下降]\nN[+3ATP] --> R\nR --> U[组织蛋白酶释出]\nE --> V[微生物酶]\nU --> X[蛋白质分解]\nV --> X\nX --> Y\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_32", "image_path": "OFloChR/img/zh_32_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "教学系统的设计与实现 865\n```mermaid\nflowchart TD\nA([开始]) --> B[\"i=0;j=0;CS[]和CP[]清零\"]\nB --> C{i D[\"CS[i]=CS[i]+SP[i][j];CP[j]
=CP[j]+SP[i][j];j=j+1\"]\nD --> E{j |NO| F[j=0;i=i+1]\nE --> |YES| C\nF --> C\nC --> |NO| G[G=0;i=0;j=0;YI和YJ清零]\nG --> H{i |YES| I{\"SP[i][j] |YES| J[\"SP[i][j]=0\"]\nJ --> L[j=j+1]\nI --> |NO| K[\"SP[i][j]=1;YI[i]=YI[i]+1;
YJ[j]=YJ[j]+1;G=G+1\"]\nK --> L\nL --> N{j |NO| M[j=0;i=i+1]\nM --> H\nN --> |YES| H\nH --> |NO| O[j=SN-1]\nO --> P{j>0}\nP --> |YES| R[i=0]\nR --> S{i>j-1}\nS --> |YES| Q[j=j-1]\nQ --> P\nS --> |NO| T{\"YI[i]>YI[i+1]\"}\nT --> |NO| U[\"n=YI[i];YI[i]=YI[i+1];YI[i+1]=n;m=0\"]\nU --> V{m |YES| W[\"n=SP[i][m];SP[i][m]=SP[i+1][m];
SP[i+1][m]=n;m=m+1\"]\nW --> V\nT --> |YES| X[i=i+1]\nV --> |NO| X[i=i+1]\nX --> S\nP --> |NO| Y[计算学生的得分率和问题的正答率*]\nY --> Z[按问题的被正答率排序*]\nZ --> AA[i=0]\nAA --> AB{i>SN-1}\nAB --> |NO| AC[j=0;x1=0]\nAC --> AD{\"j |YES| AE{\"SP[i][j]=0\"}\nAE --> |NO| AG[j=j+1]\nAE --> |YES| AF[\"x1=x1+YJ[j]\"]\nAF --> AG\nAG --> AD\nAD --> |NO| AH[\"j=YI[i]:x2=0\"]\nAH --> AI{j |YES| AJ{\"SP[i][j]<1\"}\nAJ --> |NO| AL[j=j+1]\nAJ --> |YES| AK[\"x2=x2+YJ[i]\"]\nAK --> AL\nAL --> AI\nAI --> |NO| AM[j=0;x3=0]\nAM --> AN{\"j |YES| AO[\"x3=x3+yJ[j];j=j+1\"]\nAO --> AN\nAN --> NO --> AP[\"CS[i]=(x1-x2)/(x3-(YI[i]/PN)*G)\"]\nAP --> AQ[i=i+1]\nAQ --> AB\nAB --> AR[计算各题目的问题警告系数*]\nAR --> AS([结束])\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_33", "image_path": "OFloChR/img/zh_33_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA(开始) --> B[初始化参数生成初始种群，
计算个体适应度]\nB --> C[将粒子当前位置设为个体极值pbest，
所有粒子中最好粒子位置设为全局
极值gbest]\nC --> D[利用pbest和gbest更新粒子位置和速
度，计算每个粒子的适应度]\nD --> E{当前位置优于个体极值？}\nE --> |是| F[将当前位置设为个体极值]\nF --> G{当前位置优于全局极
值？}\nG --> |是| H[将当前位置设为全局极值]\nE --> |否| I{满足终止条件？}\nG --> |否| I\nH --> I\nI --> |是| J(结束)\nI --> |否| D\n```\n图2-2 粒子群算法逻辑流程", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_34", "image_path": "OFloChR/img/zh_34_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA(开始) --> B[初始化参数、寄生群和宿主群,k=0]\nB --> C[计算适应度,确定两个种群个体极值pbest、全体最优值gbest]\nC --> D{K |是| E[更新个体速度和位置，寄生群进行精英学习]\nE --> F[计算适应度,更新pbest,gbest]\nF --> G{\"Mod(k,t)=0\"}\nG --> |否| D\nG --> |是| H[寄生群和宿主群发生寄生行为]\nH --> I[宿主群通过高频变异获得免疫]\nI --> D\nD --> |否| J(结束)\n```\n图7-52 PSOPI算法流程图", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_35", "image_path": "OFloChR/img/zh_35_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "环保指施落实等阶段。\n```mermaid\nflowchart TD\nA[自然资源开发项目初步工程分析和环境概况调查] --> B[生态环境基本特征分析]\nA --> C[工程调查与分析]\nB --> D[划分评价级别和确定评价范围]\nC --> D\nD --> E[关键问题识别和评价因子筛选]\nE --> G[编制评价大纲中的生态环境篇章]\nF[公众参与] --> E\nH[生态环境状况调查] <--> I[确定生态影响评价
标准或保护目标值]\nH --> J[自然环境]\nH --> K[社会环境]\nH --> L[公众参与]\nH --> M[水、气、渣、噪
声等环境质量]\nI --> M\nJ --> N[现状评价]\nK --> N\nL --> N\nM --> O[质量评价]\nM --> N\nO --> N\nN --> |目标调整| I\nN --> P[重要环境因子再确认]\nE --> P\nI --> P\nI --> Q[生态影响预测]\nQ --> R[替代方案]\nR --> S[对策与建议]\nS --> T[结论]\nT --> U[结束]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_36", "image_path": "OFloChR/img/zh_36_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nB((开始)) --> A[\"细菌趋化算子(1:S)\"]\nA --> C{\"生命周期$N_{c}$完成？\"}\nC --> |是| D[计算细菌能量并按能量排序]\nC --> |否| A\nD --> F{\"繁殖周期$N_{re}$完成？\"}\nF --> |是| E(结束)\nF --> |否| G(繁殖操作
能量高的细菌替代能量低的细菌)\nG --> C\n```\n图2-9 细菌繁殖算子逻辑流程", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_37", "image_path": "OFloChR/img/zh_37_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[质量保证] --> B[取样]\nA --> C[样品前处
理与保存]\nA --> D[定性检测
定量测定]\nA --> E[数据
处理]\nB --> C\nC --> D\nD --> E\nE --> F[结果]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_38", "image_path": "OFloChR/img/zh_38_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[砂岩] --> J[煅烧]\nB[硅砂] --> K[选矿]\nC[石灰石] --> L[粗碎]\nD[白云石] --> M[粗碎]\nE[萤石] --> N[水洗]\nF[纯碱] --> O[拆包]\nG[芒硝] --> P[拆包]\nH[煤粉] --> Q[筛分]\nI[碎玻璃] --> R[洗涤]\nJ --> S[水冷]\nK --> T[干燥]\nL --> U[粉碎]\nM --> V[粉碎]\nN --> W[粗碎]\nO --> X[粉碎]\nP --> Y[粉碎]\nR --> Z[破碎]\nS --> AA[粗碎]\nT --> AB[筛分]\nU --> AC[筛分]\nV --> AD[筛分]\nW --> AF[粉碎]\nX --> AG[筛分]\nY --> AH[筛分]\nAA --> AI[粉碎]\nAF[粉碎] --> AJ[筛分]\nAI --> AK[筛分]\nAK --> AL[粉库]\nAB --> AM[粉库]\nAC --> AN[粉库]\nAD --> AO[粉库]\nAJ --> AP[粉库]\nAG --> AQ[粉库]\nAH --> AR[粉库]\nQ --> AS[粉库]\nZ --> AT[粉库]\nAL --> AU[称量]\nAM --> AU\nAN --> AU\nAO --> AU\nAP --> AU\nAQ --> AU\nAR --> AV[称量]\nAS --> AV\nAT --> AW[称量]\nAU --> AX[混合]\nAV --> BC[混合]\nBC --> AX\nAW --> AX\nAY[水] --> AX\nAX --> AZ[运输]\nAZ --> BA[窑头料仓]\nBA --> BB[投料机]\n```\n图8.1-2 配合料制备的工艺流程", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_39", "image_path": "OFloChR/img/zh_39_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[开题论证 确立课题] --> B[制定方案 分工任务]\nB --> C[调查研究]\nB --> D[行动研究]\nB --> E[文献研究]\nC --> F[实践探究]\nD --> F[实践探究]\nE --> F[实践探究]\nF --> G[数学互动
交流课型]\nF --> H[主体阅
读课型]\nF --> I[数学发现
探究课型]\nF --> J[数学活
动课型]\nF --> K[数学问题
教学课型]\nG --> L[教学理念]\nH --> L\nI --> L\nJ --> L\nK --> L\nG --> M[教案设计]\nH --> M\nI --> M\nJ --> M\nK --> M\nG --> N[教学评价]\nH --> N\nI --> N\nJ --> N\nK --> N\nL --> O[验证反思]\nM --> O\nN --> O\nO --> P[总结课题]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_3", "image_path": "OFloChR/img/zh_3_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[葡萄糖] --> B[PRPP]\nB --> |PRPP转酰胺酶| C[PRA]\nC --> D[AICAR]\nD --> E[IMP]\nE -.-> F[SAMP]\nE --> G[XMP]\nE -.-> H[肌苷]\nF --> I[AMP]\nG --> J[GMP]\nJ --> K[鸟苷]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_40", "image_path": "OFloChR/img/zh_40_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA(开始) --> B[\"随机生成一个向量$y_0 = (y_{01}, y_{02}, \\cdots, y_{0n}),y_{0,j}\\in (0,1)$\"]\nB --> C[i=1]\nC --> D[\"迭代生成第i个向量：$y_{i}=(y_{i,1}, y_{i,2}, \\cdots, y_{i,n}), y_{i,j} =\\alpha y_{i,j-1} \\cdot (1 - y_{i,j-1})$\"]\nD --> E[i=i+1]\nE --> F{i |是| D\nF --> |否| G[\"将向量映射到定义区域，假设第i个个体为$x_{i}=(x_{i,1},x_{i,2},\\ldots,x_{i,n})$，
则$x_{i,j}=x_{min}+y_{i,j}\\cdot(x_{max}-x_{min})$\"]\nG --> H[计算 M 个个体目标值]\nH --> I[选择最好的m个个体作为初始群体]\nI --> J(结束)\n```\n图3-3 混沌初始化逻辑方框图", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_41", "image_path": "OFloChR/img/zh_41_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA(生产准备) --> B[冻结站基础]\nB --> C[冻结站安装]\nD[设备试压]\nC --> F[试压、保温]\nE[冻结器安装] --> H[充氟、试运]\nF --> H\nG[冷冻孔检验] --> H\nI[冷却水供给] --> H\nH --> K[积极冻结]\nK --> L[维护冻结]\nL --> N(冻结结束)\nJ[检测] --> H\nJ --> K\nJ --> L\nK -.-> M[开挖与结构施工]\nM -.-> N\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_42", "image_path": "OFloChR/img/zh_42_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[1.定义问题] --> B[2.构造模型]\nA --> C[3.收集数据]\nB --> C\nC --> B\nB --> D{4.验证模型}\nC --> D\nD --> B\nD --> A\nD -- |Y| E[5.设计仿真试验]\nE --> F{6.试运行}\nF -- |N| E\nF -- |N| B\nF -- |N| C\nF -- |N| A\nF --> G[7.仿真运行和分析]\nG --> H[8.结论]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_43", "image_path": "OFloChR/img/zh_43_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA((开始)) --> C{i>S？}\nC --> |是| B(结束)\nC --> |否| D[生成随机数]\nD --> E{\"Rand>$P_{ed}$\"}\nE --> |是| B(结束)\nE --> |否| F[迁移操作
细菌随机初始化]\nF --> H{\"迁移周期$N_{ed}$完成？\"}\nH --> |是| G(输出结果)\nH --> |否| C\n```\n图2-10 细菌迁移算子逻辑流程", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_44", "image_path": "OFloChR/img/zh_44_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[检查高压火花（中心高压线与接线的间隙为12.5mm）] --> |正常| B[检查IC信号是否断路]\nB --> |不正常| C[修理配线]\nB --> |正常| D[检查ECU上IC端接地电压为4.5~5.0V
（拔下点火器插接器，点火开关至于“ON”）]\nD --> |正常| E[更换点火器]\nA --> |不正常| F[检查点火线圈，点火器分电器插头]\nF --> |松动| G[坚固插头]\nF --> |正常| H[检查高压线的电阻]\nH --> |异常| I[更换高压线]\nH --> |正常| J[检查IC的电压（0.5~1.0V）]\nJ --> |正常| K[检查点火器的电源电压9~14V]\nK --> |不正常| L[检查点火器电源电路]\nK --> |正常| M[检查初级电路是否有断路或短路]\nM --> |不正常| N[检修配线及插接器]\nM --> |正常| O[检查点火线圈]\nO --> |不正常| P[更换点火线圈]\nO --> |正常| Q[检查点火器]\nJ --> |不正常| R[检查点火器与ECU之间的IC信号是否有断路或短路]\nR --> |不正常| S[检修配线及插接器]\nR --> |正常| T[检查曲轴位置传感器]\nT --> |不正常| U[更换曲轴位置传感器]\nT --> |正常| V[更换ECU]\n```\n故障诊断流程", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_45", "image_path": "OFloChR/img/zh_45_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[具有环境风险的工程项目] --> B{使用的
化学物品是否都是无害的}\nB --> |否| C{是否所有的
有害化学物品可能出现的最
大剂量均低于阈值}\nC --> |否| E{是否低于
强制性要求的风险水平
（10倍阀值）}\nB --> |是| D[不必进行环
境风险评价]\nC --> |是| D\nE --> |是| F[建议做环境
风险评价]\nE --> |否| G[必须进行环境风险评估]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_46", "image_path": "OFloChR/img/zh_46_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nK[来水] --> |256.8| A[固体制剂车间用具]\nK --> |256.8| B[提取车间提取罐用水]\nK --> |256.8| D[固体制剂车间地面]\nK --> |256.8| E[提取车间地面冲洗]\nK --> |256.8| F[提取罐蒸煮用水]\nK --> |256.8| G[纯化水车间]\nA --> |21.25 5.1| C[污水]\nC --> |276.52| I[进污水管]\nG --> H[进雨水]\nK --> J[树脂淋洗、再生]\nK --> L[淋浴用水]\nK --> N[生活用水]\nK --> O[冷却水系统补充水]\nK --> P[浇地、绿化用水]\nK --> Q[其他用水（喷泉）]\nJ --> |151.3| M[污水]\nL --> |12.75 151.3| M\nN --> |151.3| M\nM --> I\nO --> |\"$\\uparrow$ 蒸发 定期排污 276.52\"| I\nP --> |\"$\\uparrow$ 蒸发 276.52\"| I\nQ --> |\"$\\uparrow$ 蒸发 276.52\"| I\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_47", "image_path": "OFloChR/img/zh_47_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[现象:不论发动机停转或运转，充电指示灯均亮或始终不亮] --> B[检测:在发动机停转时，接通点火开关，检测其点火开关15号接线柱
对地电压，看它是否为12V]\nB --> C[12V]\nB --> D[0V]\nC --> E[拔开插件T，将非通往发电机
一端的蓝色导线接地]\nD --> F[检查蓄电池 “+” 接柱到点火开
关30接柱间导线，也可用试灯
测接柱30是否有电压]\nE --> G[充电指
示灯亮]\nE --> H[充电指
示灯不亮]\nF --> I[试灯亮]\nF --> J[试灯不亮]\nG --> K[1.通往发电机一端的
蓝色导线与发电机D+接
柱接触不良
2.发电机故障；励磁
绕组短路。电刷磨损接
触不良
3.调节器故障，大功
率管短路]\nH --> L[1.蓝色导线与
中央线路板线束
D4的接点接触不良
2.中央线路板
内部故障
3.充电指示灯
坏]\nI --> M[点火开关
故障]\nJ --> N[蓄电池故
障或连接
线路有问
题]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_48", "image_path": "OFloChR/img/zh_48_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA((开始)) --> B[\"参数初始化:$N_{ed}$，$N_{re}$，$N_{c}$，$P_{ed}$，S，$N_s$\"]\nB--> D{\"迁移次数
$N_{ed}$达到？\"}\nD --> |是| E(算
法
结
束)\nD --> |否| F{\"繁殖次数
$N_{re}$达到？\"}\nF --> |是| C[按选定概率
进行迁移]\nC --> D\nF --> |否| G{\"趋化次数
$N_{c}$达到？\"}\nG --> |是| H[高斯
分布
繁殖]\nH --> F\nG --> |否| J[随机
变向]\nJ --> |位优| I[\"游动
（$N_s$）\"]\nI --> G\n```\n图6-1 改进细菌觅食优化算法流程图", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_49", "image_path": "OFloChR/img/zh_49_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nB[场地移交] --> C[连续墙施工]\nC --> D[破除洞门]\nD --> E[洞门处回填素
混凝土]\nE --> F[安装钢套筒]\nA[钢套筒制作] --> F\nF --> G[钢套筒填料、加压并封
闭检测]\nG --> H[刀盘碰连续墙]\nH --> I[盾构机掘削通过素
混凝土进入钢套筒]\nI --> J[盾尾补注浆]\nJ --> K[排空钢套筒中泥浆]\nK --> L[打开加料孔试水]\nL --> M[拆开钢套筒]\nM --> N[吊出盾构机]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_4", "image_path": "OFloChR/img/zh_4_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[水样接种到乳糖液管，
在37°C培养48h] --> B[产气，移种于]\nA --> C[不产气，水样阴性，
无大肠杆菌群细菌]\nB --> D[（1）
远藤氏琼脂平板
在37°C培养24h]\nB --> E[（2）
亮绿乳糖胆盐液管
在37°C培养48h]\nD --> F[典型或准典型菌
落，移种于]\nD --> G[无典型、准典型
菌落，水样阴性]\nE --> H[产气，
移种于]\nE --> I[不产气，
水样阴性]\nF --> J[营养琼脂斜面和乳糖液管，
在37°C培养48h]\nH --> D\nJ --> K[产气，从琼脂面取样
做革兰氏染色，镜检]\nJ --> L[不产气，水样阴性]\nK --> M[仅见革兰氏阴性杆菌，水样阳
性，水样有大肠杆菌群细菌]\nK --> N[见到芽孢或仅见革兰氏阳性杆
菌，水样阴性]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_5", "image_path": "OFloChR/img/zh_5_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[金属或合金] --> C[细粉碎]\nB[陶瓷原料] --> D[细粉碎]\nC --> E[均匀混合]\nD --> E\nD --> F[成型]\nE --> G[热压]\nE --> H[成型]\nF --> I[烧成多孔骨架]\nG --> J[加工]\nH --> K[干燥]\nI --> L[用金属浸渍]\nK --> M[烧结]\nL --> N[加工]\nM --> O[加工]\n```\n（a）热压法 （b）粉末烧结法 （c）浸渍法\n图5.2-2 金属陶瓷制造工艺", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_6", "image_path": "OFloChR/img/zh_6_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[建设项目工程概况（参阅有关文件）] --> B[确定噪声环境影响评价工作等级，编
写环境影响评价大纲的噪声部分]\nB --> C[环境噪声现状调查和测量]\nC --> D[噪声源
调查]\nC --> E[环境噪声
现状调查
及测量]\nC --> F[受影响
人口调
查]\nD --> G[环境噪声现状评价]\nE --> G\nF --> G\nG --> H[噪声级预测、受影响人口预测]\nH --> I[噪声环境影响
评价]\nI --> J[噪声影响评价专题报告]\nK[评价范围内现场踏勘] --> B\nK --> L[建设项目工程分析（与噪声
有关的内容）]\nL --> H\nL --> M[噪声防治
对策]\nM --> I\nN[噪声管理法规
与标准] --> G\nN --> I\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_7", "image_path": "OFloChR/img/zh_7_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA(开始) --> B[编码和初始化种群]\nB --> C[个体适应度评价]\nC --> D[实施种群内遗传操作]\nD --> E[选择操作]\nD --> F[交叉操作]\nD --> G[变异操作]\nE --> H[新旧个体交换]\nF --> H\nG --> H\nH --> I{终止条件？}\nI --> |是| J[结果输出]\nI --> |否| C\nJ --> K(结束)\n```\n图3-1 遗传算法逻辑流程", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_8", "image_path": "OFloChR/img/zh_8_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[施工准备] --> B[测量放线]\nB --> |下洞先施工，并经临时型钢钢架加
固后施工上洞上下相距50m| C[下洞开挖初支]\nB --> |下洞先施工，并经临时型钢钢架加
固后施工上洞上下相距50m| D[上洞开挖初支]\nC --> |相距5m左右| E[上半断面开挖]\nC --> |相距5m左右| F[下半断面开挖]\nD --> |相距5m左右| G[下半断面开挖]\nD --> |相距5m左右| H[上半断面开挖]\nE --> I[拱部初期支护]\nF --> J[下半断面
初期支护]\nG --> K[下半断面
初期支护]\nH --> L[拱部初期支护]\nI --> M[下一循环]\nJ --> M\nK --> N[下一循环]\nL --> N\nM --> O[二衬施工]\nN --> O\nO --> |下洞二衬先施工| P[下洞二衬施工]\nO --> |下洞二衬先施工| Q[上洞二衬施工]\nP --> R[仰拱基面处理及防水施做]\nQ --> S[仰拱基面处理及防水施做]\nR --> T[仰拱钢筋绑扎]\nS --> U[仰拱钢筋绑扎]\nT --> V[仰拱砼浇筑及养护]\nU --> W[仰拱砼浇筑及养护]\nV --> X[拱墙基面处理及防水施做]\nW --> Y[拱墙基面处理及防水施做]\nX --> Z[拱墙钢筋绑扎]\nY --> AA[拱墙钢筋绑扎]\nZ --> AB[台车测量就位]\nAA --> AC[台车测量就位]\nAB --> AD[仰拱砼浇筑及养护]\nAC --> AE[仰拱砼浇筑及养护]\nAD --> AF[下一单元砼浇筑]\nAE --> AG[下一单元砼浇筑]\nAF --> AH[工程竣工]\nAG --> AH[工程竣工]\n```", "type": "FlowChart" }, { "sub_set": "OFloChR", "id": "oflochr_zh_9", "image_path": "OFloChR/img/zh_9_flowchart.jpeg", "prompt": "请识别并解析图中的流程图，用mermaid格式输出。流程图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "```mermaid\nflowchart TD\nA[计算所有细菌的适应度] --> B{大于种群平
均适应度？}\nB --> |是| C[选定细菌
中心方向]\nB --> |否| D[选定最优
细菌方向]\nC --> E{适应度
变好？}\nD --> E\nE --> |否| F[选定随机方向]\nE --> |是| G[\"游动
（$N_{s}$）\"]\nF --> H{适应度
变好？}\nH --> |否| I[选定随机方向
的反方向]\nH --> |是| G\n```\n图4-2 细菌环境感知趋化流程", "type": "FlowChart" }, { "sub_set": "OMMapR", "id": "ommapr_en_0", "image_path": "OMMapR/img/en_0_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Definite Integral\n ├─1.Concept\n ├>2. Existence conditions\n │ ├─2.1. Darboux Sum Theory\n │ └─2.2. Riemann Sum Theory\n ├>3. Property\n │ ├─3.1. First Mean Value Theorem for Integrals\n │ └─3.2. Taylor's Theorem with the Integral Remainder\n ├>4. Summary\n │ ├─4.1. Sandwich Theorem\n │ ├>4.2. Auxiliary
function
technique\n │ │ ├─4.2.1. Extend the domain\n │ │ ├─4.2.2. Take the positive and negative parts of the function\n │ │ └─4.2.3. Auxiliary function with endpoint values equal to zero\n │ └─4.3. Absolute value inequality\n └>5. Application\n ├─5.1. Calculate the area of a curved region\n ├─5.2. Calculate the volume of a solid shape\n ├─5.3. Calculate the length of a curve\n ├─5.4. Calculate the surface area of a solid shape\n └─5.5. Calculate the centroid position", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_10", "image_path": "OMMapR/img/en_10_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Cybersecurity Measures\n ├>Threat Prevention\n │ ├─Firewalls\n │ ├─Intrusion Detection Systems (IDS)\n │ ├─Antivirus Software\n │ └─Secure Configuration\n ├>Vulnerability Management\n │ ├─Penetration Testing\n │ ├─Patch Management\n │ └─Risk Assessment\n ├>Data Protection\n │ ├─Encryption\n │ ├─Access Controls\n │ ├─Data Loss Prevention(DLP)\n │ └─Data Backup and Recovery\n └>Cloud Security\n ├─Cloud Security Posture Management
(CSPM)\n └─Cloud Workload Protection Platforms
(CWPP)", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_11", "image_path": "OMMapR/img/en_11_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Entrepreneurshi
p and Innovation\n ├>Idea Generation\n │ ├─Brainstorming
Sessions\n │ ├─Market Research\n │ ├─Trend Analysis\n │ └─Customer
Feedback\n ├>Legal and
Regulatory\n │ ├─Business
Registration\n │ ├>Intellectual
Property\n │ │ ├─Patents\n │ │ ├─Trademarks\n │ │ └─Copyrights\n │ ├─Compliance\n │ └─Taxation\n └>Marketing and
Branding\n ├─Brand Identity\n ├>Digital
Marketing\n │ ├─SEO\n │ ├─Social Media\n │ └─Content
Marketing\n ├─Public Relations\n └─Guerilla
Marketing", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_12", "image_path": "OMMapR/img/en_12_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>New Media\n ├>Digital Platforms\n │ ├>Social Media Networks\n │ │ ├─Facebook\n │ │ ├─Twitter\n │ │ ├─LinkedIn\n │ │ └─TikTok\n │ ├>Content Sharing Platforms\n │ │ ├─YouTube\n │ │ ├─Vimeo\n │ │ └─Twitch\n │ ├>Blogging Platforms\n │ │ ├─WordPress\n │ │ ├─Medium\n │ │ └─Substack\n │ └>Messaging Apps\n │ ├─WhatsApp\n │ └─Telegram\n ├>Content Creation\n │ ├>Written Content\n │ │ ├─Articles\n │ │ ├─Blog Posts\n │ │ └─Newsletters\n │ ├─Visual Content\n │ ├─Audio Content\n │ ├─Video Content\n │ └─Interactive Content\n ├>Digital Marketing Strategies\n │ ├>Content Marketing\n │ │ ├─Storytelling\n │ │ ├─Thought Leadership\n │ │ └─User-Generated Content\n │ ├─Social Media Marketing\n │ ├─Search Engine Optimization (SEO)\n │ ├>Email Marketing\n │ │ ├─Personalization\n │ │ └─Automation\n │ └>Analytics and Data-Driven Strategies\n │ ├─Web Analytics\n │ ├─Social Media Insights\n │ └─Conversion Rate Optimization\n ├>Technological Innovations\n │ ├─Artificial Intelligence\n │ ├─Virtual and Augmented Reality\n │ ├─Blockchain and Cryptocurrencies\n │ ├─Internet of Things\n │ └>5G Technology\n │ ├─High-Speed Content Delivery\n │ └─Real-time Interactivity\n └>Social and Ethical Considerations\n ├>Privacy and Data Protection\n │ ├>GDPR Compliance\n │ │ ├─Data Minimization\n │ │ ├─Right to be Forgotten\n │ │ └─Cross-border Data Transfer\n │ ├─Data Encryption\n │ └>User Consent Management\n │ └─Cookie Management\n ├>Digital Divide\n │ ├─Access Inequality\n │ └─Digital Literacy\n ├─Misinformation and Fake News\n ├>Community Guidelines\n │ ├─Hate Speech Policies\n │ ├─Copyright Infringement Rules\n │ └─Age-appropriate Content\n └─User Reporting Systems", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_13", "image_path": "OMMapR/img/en_13_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>AI in Artistic Creation\n ├>AI's Role in Creative Processes\n │ ├>Historical Context of AI in Art\n │ │ ├─Early Experiments and Pioneers\n │ │ └─Evolution of AI Art Tools\n │ ├>AI Used in Art\n │ │ ├─Machine Learning Algorithms\n │ │ ├─Neural Networks\n │ │ └─Generative Adversarial Networks\n │ └─Ethical Considerations\n ├>Applications in Various Art Forms\n │ ├>Visual Arts\n │ │ ├─Painting and Drawing\n │ │ ├─Photography and Image Manipulation\n │ │ └─Sculpture and 3D Modeling\n │ ├─Music Composition\n │ ├─Literature and Poetry\n │ ├>Performance Arts\n │ │ ├─AI in Choreography\n │ │ └─Interactive AI Performances\n │ └>Film and Animation\n │ ├─AI-Driven Special Effects\n │ └─Automated Video Editing\n ├>Art World and Creative Industries\n │ ├─Changing Artistic Practices\n │ ├─Art Market Implications\n │ └─Education and Skill Development\n └>Future Prospects and Challenges\n ├>Advancements in AI Technology\n │ ├>More Sophisticated Creative AI\n │ │ ├─Self-improving AI art systems\n │ │ ├─Cross-domain artistic AI\n │ │ └─Quantum computing in creative AI\n │ └─Enhanced Human-AI Collaboration Tools\n ├>Potential Societal Impacts\n │ ├─Democratization of Art Creation\n │ └─Redefining Creativity and Artistic Value\n ├>Preservation and Archiving of AI Art\n │ ├─Technical Challenges\n │ └─Cultural Significance\n └>Ethical and Philosophical Questions\n ├>AI Consciousness and Creativity\n │ ├─Philosophical debates on machine consciousness\n │ ├─Measuring and defining AI creativity\n │ └─Ethical implications of creative AI\n └─The Future Role of Human Artists", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_14", "image_path": "OMMapR/img/en_14_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Development Process\n ├>REQUIREMENTS GATHERING\n │ └>Requirements Collection Team\n │ ├─Requirements collection\n │ └─Confirm test environment, test cases, acceptance requirements\n ├>REQUIREMENTS ANALYSIS\n │ └>System Engineer\n │ ├─Requirements assessment, analysis, decomposition\n │ ├─Requirements program design, development task decomposition\n │ └─Version plan formulation\n ├>VERSION DEVELOPMENT\n │ └>Technical development team\n │ ├─Clarify technical implementation details\n │ └─Formulate specific developers\n ├>VERSION INTEGRATION TESTING\n │ └>Software testing team\n │ ├─Requirements, business and process analysis\n │ ├─Perform version integration for each module\n │ ├─Version compilation and integration\n │ └─Version compilation and integration\n └>GO LIVE\n └>Submission team\n ├─Docking acceptance\n └─Submit final report", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_15", "image_path": "OMMapR/img/en_15_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Lifelong Learning\n ├>Foundations\n │ ├>Definition\n │ │ ├─Continuous education throughout life\n │ │ ├─Formal vs. informal learning\n │ │ └─Self-directed learning\n │ ├>Historical Perspective\n │ │ ├─Historical Perspective\n │ │ └─Key thinkers and influencers\n │ └─Societal Importance\n ├>Strategies and Methods\n │ ├>Self-Assessment and Goal Setting\n │ │ ├─Identifying personal learning needs\n │ │ └─Creating personal learning plans\n │ ├>Learning Techniques\n │ │ ├─Creating personal learning plans\n │ │ ├─Spaced repetition and retrieval practice\n │ │ └─Collaborative learning and discussion\n │ └>Learning Techniques\n │ └─Learning Techniques\n ├>Different Life Stages\n │ ├─Early Childhood and School Years\n │ ├─Early Childhood and School Years\n │ ├─Mid-Career Learning\n │ └─Mid-Career Learning\n └>Others\n ├>Access and Equity Issues\n │ └─Geographic and cultural limitations\n ├>Recognition and Accreditation\n │ ├─Recognition and Accreditation\n │ ├─Microcredentials and digital badges\n │ └─Microcredentials and digital badges\n ├>Adapting to Technological Changes\n │ ├─AI and automation in education\n │ ├─Personalized learning through data analytics\n │ └─Virtual and augmented reality in skill development\n ├─Policy and Institutional Support\n ├─Policy and Institutional Support\n └─Corporate support for employee development", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_16", "image_path": "OMMapR/img/en_16_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Junk Food\n ├>Types and Characteristics\n │ ├─Fast Food\n │ ├─Snacks and Confectionery\n │ ├─Sugary Drinks\n │ └─Processed and Packaged Foods\n ├>Health Impacts\n │ ├─Nutritional Deficiencies\n │ ├─Obesity and Weight Gain\n │ ├─Chronic Diseases\n │ └─Mental Health Effects\n ├>Socio-Economic Factors\n │ ├─Affordability and Accessibility\n │ └─Food Industry Practices\n └>Strategies to Reduce\n ├─Education and Awareness\n ├─Policy and Regulation\n ├>Promoting Healthy Alternatives\n │ ├─Developing healthier convenience foods\n │ └─Community gardens and local food initiatives\n └>Personal Strategies\n ├─Meal planning and preparation\n ├─Reading food labels\n └─Mindful eating practices", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_17", "image_path": "OMMapR/img/en_17_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Myers-briggs Type Indicator\n ├>Basic Concepts\n │ ├>Four Dichotomies\n │ │ ├─Extraversion (E) vs. Introversion (I)\n │ │ ├─Sensing (S) vs. Intuition (N)\n │ │ ├─Thinking (T) vs. Feeling (F)\n │ │ └─Judging (J) vs. Perceiving (P)\n │ ├─16types\n │ └─Type Dynamics\n ├>History\n │ ├─Jung's\n │ └─Myers and Briggs\n ├>Applications\n │ ├─Career Counseling\n │ ├─Team Building\n │ └─Relationship\n └─Reliability", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_18", "image_path": "OMMapR/img/en_18_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Napoleon Bonaparte\n ├>Rise to Power\n │ ├>Early Life\n │ │ ├─Birth in Corsica\n │ │ ├─Education at military schools\n │ │ └─Early military successes in Italy and Egypt\n │ ├>French Revolution\n │ │ ├─Napoleon's role in suppressing royalist rebellion\n │ │ ├─Appointment as commander of the Army of Italy\n │ │ └─Coup of 18 Brumaire\n │ ├>Consulate Period\n │ │ ├─Establishment of the Consulate government\n │ │ ├─Reforms in law, education, and finance\n │ │ └─Concordat with the Catholic Church\n │ ├─Coronation as Emperor\n │ ├─Self-coronation\n │ ├─Creation of the Napoleonic nobility\n │ └─Expansion of the French Empire\n ├>Military Campaigns and Conquests\n │ ├>Italian Campaigns\n │ │ ├─First Italian Campaign\n │ │ ├─Second Italian Campaign\n │ │ └─Creation of satellite republics\n │ ├>Egyptian Expedition\n │ │ ├─Battle of the Pyramids\n │ │ ├─Scientific discoveries and cultural impact\n │ │ └─Naval defeat at the Battle of the Nile\n │ ├>European Campaigns\n │ │ ├─Victories at Austerlitz, Jena, and Wagram\n │ │ ├─Peninsular War in Spain\n │ │ └─Russian Campaign and retreat from Moscow\n │ └─Hundred Days and Waterloo\n ├>Domestic Policies and Reforms\n │ ├>Legal Reforms\n │ │ ├─Napoleonic Code\n │ │ └─Civil rights and property laws\n │ ├>Economic Policies\n │ │ ├─Creation of the Bank of France\n │ │ ├─Continental System against British trade\n │ │ └─Infrastructure development\n │ ├>Educational Reforms\n │ │ ├─Founding of the University of France\n │ │ └─Promotion of scientific research\n │ ├─Administrative Reforms\n │ ├─Prefectural system\n │ └─Meritocracy in civil service\n └>Political Influence\n ├─Spread of revolutionary ideals across Europe\n ├─Nationalism and the concept of nation-states\n └─Influence on modern European political systems", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_19", "image_path": "OMMapR/img/en_19_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Music and Emotion\n ├>Music Genres\n │ ├>Classical Music\n │ │ ├─Soothing the Mind\n │ │ └─Enhancing Focus\n │ ├>Rock Music\n │ │ ├─Stimulating Energy\n │ │ └─Releasing Stress\n │ └─Electronic Music\n ├>Emotional States\n │ ├>Happiness\n │ │ ├─Boosting Well-being\n │ │ └─Enhancing Social Interaction\n │ └>Sadness\n │ ├─Healing the Soul\n │ └─Promoting Emotional Expression\n ├>Music Therapy\n │ ├>Individual Therapy\n │ │ ├─Personalized Music Selection\n │ │ └─Emotional Support\n │ └─Group Therapy\n ├>Music and Responses\n │ └>Heart Rate Variations\n │ ├─Synchronization with Music Tempo\n │ ├─States of Relaxation or Excitement\n │ ├─Music's Impact on Stress Hormones\n │ └─Music-Induced Endorphin Release\n └>Emotion Regulation Strategies\n ├>Daily Applications\n │ ├─Background Music Selection\n │ └─Emotional Journaling with Music\n └>Professional Guidance\n ├─Consultation with Music Therapists\n └─Participation in Emotion Workshops", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_1", "image_path": "OMMapR/img/en_1_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Dataset\n ├>train\n │ ├>composition\n │ │ ├─tdcsfog/\n │ │ ├─defog/\n │ │ └─notype/\n │ └>fields\n │ ├>AccV\n │ │ └─vertical\n │ ├>AccML\n │ │ └─mediolateral\n │ ├>AccAP\n │ │ └─anteroposterior\n │ ├─StartHesitation\n │ ├─Turn\n │ ├─Walking\n │ └>Task\n │ └─annotated or not\n └>test\n ├>composition\n │ ├─time\n │ └─accelerometer\n └>fields\n ├─Time\n ├─AccV\n ├─AccML\n └─AccAP", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_20", "image_path": "OMMapR/img/en_20_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Home Safety Knowledge\n ├>Fire Safety\n │ ├>Smoke Detectors\n │ │ ├─Regular Testing\n │ │ └─Proper Placement\n │ ├>Fire Extinguishers\n │ │ ├─Types and Uses\n │ │ └─Types and Uses\n │ └>Escape Plans\n │ ├─Designing Routes\n │ ├─Practice Drills\n │ └─Emergency Contacts\n ├>Security Systems\n │ ├>Home Alarms\n │ │ ├─Home Alarms\n │ │ └─Monitoring Services\n │ └>CCTV Cameras\n │ ├─Placement Strategies\n │ ├─Data Privacy\n │ └─System Integration\n ├>First Aid and CPR\n │ ├>Basic First Aid\n │ │ ├─Minor Wounds\n │ │ ├─Burns and Scalds\n │ │ └─Allergic Reactions\n │ └>CPR and AED\n │ ├─Adult and Child CPR\n │ ├─AED Usage\n │ └─Regular Training\n ├>Childproofing\n │ ├>Safety Gates\n │ │ └─Stairway Protection\n │ ├>Locks and Latches\n │ │ ├─Cabinet and Drawer Safety\n │ │ └─Window and Door Security\n │ └>Toys and Equipment\n │ ├─Age-Appropriate Selection\n │ ├─Recall Checks\n │ └─Proper Storage\n ├>Natural Disaster
Preparedness\n │ ├>Earthquakes\n │ │ ├─Drop, Cover, and Hold On\n │ │ └─Secure Furniture\n │ └>Floods\n │ ├─Floods\n │ ├─Evacuation Plans\n │ └─Insurance Coverage\n └>Cybersecurity\n ├>Secure Networks\n │ ├─Password Protection\n │ ├─Firewall Installation\n │ └─Regular Updates\n └>Personal Information\n ├─Online Privacy\n ├─Social Media Safety\n └─Identity Theft Prevention", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_21", "image_path": "OMMapR/img/en_21_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Work-Life Balance\n ├>Time Management\n │ ├>Prioritization\n │ │ ├─Task Importance\n │ │ └─Deadline Awareness\n │ └>Scheduling\n │ ├─Work Hours\n │ ├─Personal Time\n │ └─Personal Time\n ├>BOUNDARIES SETTING\n │ ├>Workplace Boundaries\n │ │ ├─Communication Expectations\n │ │ └─Overtime Limits\n │ └>Personal Boundaries\n │ ├─Family Time\n │ ├─Hobbies and Interests\n │ └─Digital Detox\n ├>Self-Care Practices\n │ ├>Physical Health\n │ │ ├─Regular Exercise\n │ │ └─Healthy Eating\n │ ├>Mental Well-being\n │ │ ├─Meditation and Mindfulness\n │ │ └─Therapy and Counseling\n │ └>Rest and Relaxation\n │ ├─Adequate Sleep\n │ ├─Vacations and Breaks\n │ └─Hobbies for Stress Relief\n └>Support Systems\n ├─Professional Support\n ├─Social Support\n └>Personal Development\n ├─Life Coaching\n ├─Continuing Education\n └─Goal Setting and Reflection", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_22", "image_path": "OMMapR/img/en_22_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Children's Literature Themes\n ├>Fantasy and Adventure\n │ ├>Magical Worlds\n │ │ ├─Enchanted Forests\n │ │ ├─Mystical Trees\n │ │ └─Hidden Paths\n │ └>Mystical Creatures\n │ ├─Talking Animals\n │ ├─Shapeshifter\n │ └─Elemental Beings\n ├>Classic Tales\n │ └>Fairy Tales\n │ ├>Princes and Princesses\n │ │ ├─Royal Quests\n │ │ └─Courtly Intrigues\n │ └>Witches and Wizards\n │ ├─Magical Spells\n │ └─Enchantments and Curses\n └>Coming of Age\n └>Personal Growth\n ├>Self-Discovery\n │ ├─Identity Exploration\n │ └─Personal Values\n ├>Emotional Development\n │ ├─Managing Emotions\n │ └─Building Empathy\n └>Identity Formation\n ├>Cultural Identity\n │ ├─Heritage and Traditions\n │ └─Cultural Integration\n └>Gender Identity\n ├─Gender Roles\n └─Gender Expression", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_23", "image_path": "OMMapR/img/en_23_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Fashion Trends\n ├>Sustainable Fashion\n │ ├>Eco-Friendly Materials\n │ │ ├─Organic Cotton\n │ │ ├─Recycled Fabrics\n │ │ └─Vegan Leather\n │ └>Ethical Production\n │ ├─Fair Trade Practices\n │ ├─Local Manufacturing\n │ └>Transparency in Supply Chains\n │ ├─Certifications\n │ ├─Consumer Awareness\n │ └─Brand Accountability\n ├>Digital Fashion\n │ ├>Virtual Try-Ons\n │ │ ├─Augmented Reality\n │ │ └─3D Modeling\n │ ├>Fashion Tech Wearables\n │ │ ├─Smart Clothing\n │ │ └─Wearable Tech Accessories\n │ └>Online Shopping Innovations\n │ ├─Personalized Recommendations\n │ ├─Virtual Showrooms\n │ └─Social Media Shopping\n ├>Streetwear Influence\n │ ├>Athleisure\n │ │ ├─Comfortable Activewear\n │ │ └─Casual Sportswear\n │ ├>Street Art and Fashion\n │ │ ├─Graffiti-Inspired Designs\n │ │ ├─Urban Aesthetics\n │ │ └>Artist Collaborations\n │ │ ├─Fashion x Art Crossover\n │ │ ├─Limited Edition Artwear\n │ │ └─Cultural Commentary\n │ └>Limited Edition Drops\n │ ├─Collaborative Collections\n │ └─Hype Culture\n └>Vintage Revivals\n ├>Retro Styles\n │ ├─1970s Bohemian\n │ ├─1980s Power Suits\n │ └─1990s Grunge\n ├>Antique Fashion Shows\n │ ├─Vintage Fashion Weeks\n │ └─Heritage Brands\n └>Sustainable Vintage Shopping\n ├─Thrift Stores\n ├─Consignment Boutiques\n └─Circular Fashion Platforms", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_24", "image_path": "OMMapR/img/en_24_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Weekly Schedule\n ├>MONDAY\n │ ├─Work Commute\n │ ├─Morning Meeting\n │ ├─Project Planning\n │ ├─Team Collaboration\n │ ├─Gym Session\n │ └─Dinner with Family\n ├>TUESDAY\n │ ├─Client Meeting\n │ ├─Breakfast Briefing\n │ ├─Presentation Preparation\n │ └─Presentation Preparation\n ├>WEDNESDAY\n │ ├─Project Review\n │ ├─Team Huddle\n │ ├─Creative Brainstorming\n │ ├─Lunch with Colleagues\n │ ├─Yoga Class\n │ └─Movie Night\n ├>THURSDAY\n │ ├─Strategy Development\n │ ├─Industry Research\n │ ├─Product Testing\n │ ├─Feedback Session\n │ ├─Cooking Dinner\n │ └─Phone Call with Friends\n ├>FRIDAY\n │ ├─Weekly Wrap-Up\n │ ├─Performance Review\n │ ├─Pre-Weekend Relaxation\n │ └─Preparation for Weekend\n └>WEEKEND\n ├─Home Organization\n ├─Prep Meals for the Week\n ├─Wind-Down Routine\n └─Early Night for a Fresh Start", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_25", "image_path": "OMMapR/img/en_25_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Books\n ├>Indicators\n │ ├>Learning A-Z\n │ │ ├─LEVEL CORRELATION CHART\n │ │ └─TEXT LEVELING SYSTEM\n │ └>Scholastic\n │ └─Reading Leveling Resource Chart\n ├>Source\n │ ├>Physical Book\n │ │ ├>Library\n │ │ │ ├─Schools\n │ │ │ └─Public and Private Libraries\n │ │ ├>Publisher\n │ │ │ ├>Networks\n │ │ │ │ ├─Amazon\n │ │ │ │ ├─Learning A-Z\n │ │ │ │ └─Scholastic\n │ │ │ └─Bookstore\n │ │ └─Medieval Books\n │ └>E-Books\n │ ├>Library\n │ │ ├─Schools\n │ │ └─Public and Private Libraries\n │ ├>Publishers\n │ │ ├─Internet\n │ │ └─Bookstores\n │ ├>Online Shop\n │ │ ├─Amazon\n │ │ ├─Learning A-Z\n │ │ └─Scholastic\n │ └─Download\n ├>Platforms\n │ ├─Physical Book\n │ ├>Mobile Devices\n │ │ ├─Kindle\n │ │ ├─Tablet\n │ │ └─Phones\n │ └>Personal Computer\n │ ├─Desktop\n │ └─Laptops\n └>Mechanism\n ├─LitPro\n └─Learning A-Z", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_26", "image_path": "OMMapR/img/en_26_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Nutrients\n ├>Macronutrients\n │ ├>Proteins\n │ │ ├─Muscle Building\n │ │ ├─Enzyme Production\n │ │ └>Hormone Regulation\n │ │ ├─Growth Hormones\n │ │ └─Insulin\n │ ├>Carbohydrates\n │ │ ├>Energy Provision\n │ │ │ ├─Quick Energy Sources\n │ │ │ └─Endurance Support\n │ │ ├─Blood Sugar Regulation\n │ │ └─Digestion and Absorption\n │ └>Fats\n │ ├─Essential Fatty Acids\n │ ├─Energy Storage\n │ ├─Cell Membrane Structure\n │ └─Vitamin Absorption\n ├>Micronutrients\n │ ├>Vitamins\n │ │ ├─A\n │ │ ├─C\n │ │ └─D\n │ └>Minerals\n │ ├>Calcium\n │ │ ├─Bone Density\n │ │ └─Nerve Function\n │ ├>Iron\n │ │ ├─Red Blood Cell Production\n │ │ └─Energy Metabolism\n │ └─Potassium\n ├>Dietary Fiber\n │ ├>Soluble Fiber\n │ │ ├─Cholesterol Management\n │ │ └─Blood Sugar Control\n │ └>Insoluble Fiber\n │ ├>Digestive Health\n │ │ ├─Intestinal Movement\n │ │ └─Prebiotic Effects\n │ └>Prebiotic Effects\n │ ├─Satiation\n │ └─Calorie Intake Reduction\n └>Water\n ├>Hydration\n │ ├─Digestive Health\n │ └─Body Temperature Regulation\n ├>Fluid Balance\n │ ├─Electrolyte Maintenance\n │ └─Cell Function\n └>Waste Elimination\n ├─Kidney Function\n └─Digestive Health", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_27", "image_path": "OMMapR/img/en_27_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>AI in Medical Diagnostics\n ├>Image Analysis\n │ ├>Radiology\n │ │ ├─CT Scan Interpretation\n │ │ └─CT Scan Interpretation\n │ ├>Pathology\n │ │ ├─Histopathological Slide Analysis\n │ │ └─Cytological Smear Classification\n │ └>Ophthalmology\n │ ├─Retinal Image Diagnosis\n │ └─Ocular Disease Detection\n ├>Predictive Analytics\n │ ├─Disease Risk Assessment\n │ ├─Prognosis Modeling\n │ └>Personalized Medicine\n │ ├─Therapeutic Response Prediction\n │ └─Drug Interaction Simulation\n ├>Natural Language Processing\n │ ├─Electronic Health Records\n │ ├─Medical Literature Review\n │ └─Medical Literature Review\n ├>Machine Learning Algorithms\n │ ├>Diagnostic Support Systems\n │ │ ├─Symptom-Based Disease Prediction\n │ │ └─Differential Diagnosis Assistance\n │ ├>Anomaly Detection\n │ │ ├─Tumor Growth Monitoring\n │ │ └─Infection Progression Tracking\n │ └─Feature Extraction\n ├>Robotic Surgery\n │ ├─Precision Instrument Control\n │ ├─Intraoperative Imaging\n │ └─Surgical Outcome Optimization\n ├>Telemedicine\n │ ├>Remote Diagnostics\n │ │ ├─Online Consultations\n │ │ └─Digital Health Monitoring\n │ └>Disease Surveillance\n │ ├─Epidemiological Tracking\n │ └─Outbreak Prediction Systems\n ├>Genomic Analysis\n │ ├>Genetic Testing\n │ │ ├─Hereditary Disease Screening\n │ │ └─Pharmacogenomics\n │ ├>Cancer Genomics\n │ │ ├─Tumor Mutation Profiling\n │ │ └─Tumor Mutation Profiling\n │ └>Gene Therapy Design\n │ ├─CRISPR-Cas9 Applications\n │ └─Gene Expression Modulation\n └>AI-Enhanced Tools\n ├>AI-Enhanced Tools\n │ ├─Treatment Plan Optimization\n │ └─Patient Management Systems\n ├─Data-Driven Insights\n └─Interdisciplinary Integration", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_28", "image_path": "OMMapR/img/en_28_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Electric Vehicles on Carbon Emissions Reduction\n ├>Emission Reduction at the Tailpipe\n │ ├>Zero Emissions Vehicles\n │ │ ├─Direct Emission Comparison\n │ │ ├─Urban Air Quality Improvement\n │ │ ├─Greenhouse Gas Emission Elimination\n │ │ └─Noise Pollution Reduction\n │ └>Regulatory Compliance\n │ ├─Emission Standards\n │ ├─Clean Air Policies\n │ ├─Fleet Decarbonization Targets\n │ └─Zero-Emission Vehicle Mandates\n ├>Energy Efficiency\n │ ├>Battery Technology Advancements\n │ │ ├─Energy Density Increases\n │ │ ├─Charging Speed Improvements\n │ │ ├─Thermal Management Systems\n │ │ └─Battery Lifespan Extension\n │ └>Powertrain Efficiency\n │ ├─Motor and Inverter Efficiency\n │ └─Regenerative Braking Systems\n ├>Renewable Energy Integration\n │ ├─Solar-Charged EVs\n │ ├>Wind Energy Utilization\n │ │ ├─Wind-Powered Charging Infrastructure\n │ │ ├─Offshore Wind Farms\n │ │ └─Transmission Grid Upgrades\n │ └─Smart Grids and EVs\n ├>Lifecycle Analysis\n │ ├>Manufacturing Emissions\n │ │ ├─Battery Production Impact\n │ │ ├─Material Sourcing and Extraction\n │ │ └─Manufacturing Process Optimization\n │ ├>Operational Emissions\n │ │ ├─Fuel Cycle Analysis\n │ │ └─Maintenance and Service Emissions\n │ └>End-of-Life Management\n │ ├─Battery Recycling Programs\n │ ├─Vehicle Disposal and Recycling\n │ ├─Second-Life Applications for Batteries\n │ └─Circular Economy Strategies\n ├>Economic Incentives\n │ ├>Government Subsidies\n │ │ ├─Tax Incentives for EV Purchase\n │ │ ├─Low-Emission Vehicle Rebates\n │ │ └─Research and Development Funding\n │ ├─Carbon Pricing Mechanisms\n │ └─Investment in EV Infrastructure\n ├>Public Perception and Adoption\n │ ├>Public Perception and Adoption\n │ │ └─Community Engagement Programs\n │ └>Market Trends\n │ ├─Sales Growth Statistics\n │ ├─EV Model Diversification\n │ └─Global Market Analysis\n └>Technological Innovations\n ├>Technological Innovations\n │ ├─Solid-State Batteries\n │ ├─Fast-Charging Technologies\n │ ├─Battery Swap Stations\n │ └─Wireless Charging Developments\n ├─Wireless Charging\n └>Autonomous Electric Vehicles\n ├─Self-Driving Technology Integration\n ├>Shared Autonomous EV Fleets\n │ ├─Reduced Vehicle Emissions per Capita\n │ ├─Optimized Routing for Efficiency\n │ └─Data-Driven Fleet Management\n └>Integration with Smart City Initiatives\n ├─Traffic Congestion Reduction\n └─Dynamic Parking Solutions", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_29", "image_path": "OMMapR/img/en_29_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Smart Home Technology\n ├>Security and Safety Enhancements\n │ ├>Smart Locks\n │ │ ├─Keyless Entry Systems\n │ │ └─Access Control Management\n │ ├>Surveillance Cameras\n │ │ ├─Motion Detection Alerts\n │ │ └─Remote Monitoring Capabilities\n │ └>Smart Sensors\n │ ├─Smoke and Carbon Monoxide Detection\n │ ├─Water Leak Sensors\n │ ├─Glass Break Detection\n │ └─Environmental Sensors\n ├>Convenience and Comfort\n │ ├>Voice Assistants\n │ │ ├─Hands-Free Operations\n │ │ └─Multi-Device Control\n │ ├>Automated Appliances\n │ │ ├─Smart Refrigerators\n │ │ ├─Programmable Cookers\n │ │ └─Robotic Vacuum Cleaners\n │ └>Lighting and Climate Control\n │ ├─Mood Lighting Scenarios\n │ ├─Humidity Regulation\n │ └─Air Quality Management\n └>Energy Efficiency and Sustainability\n ├>Smart Thermostats\n │ ├─Automated Temperature Control\n │ └─Energy Usage Optimization\n ├─Automated Lighting\n └>Renewable Energy Integration\n ├─Solar Panel Systems\n ├─Battery Storage Solutions\n └─Smart Grid Connectivity", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_2", "image_path": "OMMapR/img/en_2_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Social Media Marketing\n ├─Introduction to Social
Media Marketing\n ├>Engagement Strategies\n │ ├─Responding to
Comments\n │ └─Running Contests\n ├>Performance Tracking\n │ ├─Reach and Impressions\n │ ├─Engagement Metrics\n │ └─Conversion Rates\n ├>Social Media Platforms\n │ ├─Facebook\n │ ├─Instagram\n │ ├─Twitter\n │ └─Linkedln\n ├>Content Types\n │ ├─Text Posts\n │ ├─Images and Graphics\n │ └─Videos\n └>Content Calendar\n ├─Monthly Themes\n └─Weekly Posting Schedule", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_30", "image_path": "OMMapR/img/en_30_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Social Media on Adolescent Mental Health\n ├>Positive Effects\n │ ├>Social Connection\n │ │ ├─Online Communities\n │ │ └─Peer Support Networks\n │ ├>Self-Expression\n │ │ ├─Creative Outlets\n │ │ ├─Personal Branding\n │ │ └─Identity Exploration\n │ └>Educational Resources\n │ ├─Learning Platforms\n │ ├─Information Sharing\n │ └─Mental Health Awareness Campaigns\n ├>Negative Effects\n │ ├─Cyberbullying\n │ ├>Body Image Issues\n │ │ ├─Social Comparison\n │ │ ├─Beauty Standards\n │ │ └─Self-Esteem Decline\n │ └>Addiction and Overuse\n │ ├─Excessive Screen Time\n │ ├─Fear of Missing Out (FOMO)\n │ ├─Impaired Social Skills\n │ └─Sleep Disruption\n ├>Mental Health Support\n │ ├>Online Counseling\n │ │ ├─Teletherapy Services\n │ │ └─Anonymous Support Chats\n │ ├─Community Engagement\n │ └>Crisis Intervention\n │ ├─Suicide Prevention Networks\n │ ├─Immediate Response Teams\n │ ├─Helpline Integration\n │ └─Post-Crisis Support\n └>Parental and Educational Guidance\n ├>Digital Literacy Education\n │ ├─Media Education in Schools\n │ ├─Parent-Child Communication\n │ └─Online Safety Workshops\n ├>Monitoring and Boundaries\n │ ├─Parental Control Tools\n │ ├─Screen Time Agreements\n │ └─Privacy and Data Sharing Discussions\n └>Resilience Building\n ├─Emotional Intelligence Training\n ├─Coping Mechanism Development\n ├─Positive Psychology Practices\n └─Stress Management Techniques", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_31", "image_path": "OMMapR/img/en_31_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>The Process of Slow Reading\n ├>Comprehension Enhancement\n │ ├>Comprehension Enhancement\n │ │ ├─Focused Attention\n │ │ └─Text Analysis\n │ ├>Critical Thinking\n │ │ ├─Question Formulation\n │ │ ├─Argument Evaluation\n │ │ └─Idea Synthesis\n │ └─Memory Retention\n ├>Mindfulness and Presence\n │ ├─Conscious Reading\n │ ├─Emotional Connection\n │ └─Stress Reduction\n └>Reading Strategies\n ├>Annotation and Highlighting\n │ ├─Margin Notes\n │ └─Textual Critique\n ├─Pace Control\n └>Discussion and Sharing\n ├─Book Club Participation\n ├─Peer-to-Peer Dialogue\n └>Online Reading Communities\n ├─Virtual Book Discussions\n └─Literary Blog Interactions", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_32", "image_path": "OMMapR/img/en_32_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Reading Plan\n ├>Selection of Reading Material\n │ ├─Interest-Driven Choices\n │ ├─Diverse Authorship\n │ └─Balanced Content\n ├>Schedule and Time Management\n │ ├─Daily Reading Time\n │ ├─Weekly Reading Goals\n │ └─Reading Breaks\n └>Reading Environment and Tools\n ├─Comfortable Reading Spaces\n ├─Discussion Forums\n ├─Progress Tracking\n ├─Note-Taking Tools\n └─Reading Aids", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_33", "image_path": "OMMapR/img/en_33_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Autonomous Vehicle\n ├>Sensors and Perception Systems\n │ ├>LiDAR\n │ │ ├─High-Resolution Mapping\n │ │ └─Obstacle Detection and Localization\n │ ├─Radar\n │ └>Cameras and Vision Systems\n │ ├─Traffic Sign Recognition\n │ ├─Pedestrian and Cyclist Detection\n │ └─Lane Detection and Tracking\n ├>AI and Machine Learning\n │ ├─Behavioral Algorithms\n │ ├─Deep Learning Models\n │ └─Neural Networks\n ├>Control Systems and Actuators\n │ ├─Electronic Control Units (ECUs)\n │ ├>Actuator Precision\n │ │ ├─Steering and Throttle Control\n │ │ └─Braking System Integration\n │ └─Vehicle Dynamics Management\n ├>High-Precision Mapping\n │ ├─Topographical Data Collection\n │ ├─Infrastructure and Landmark Identification\n │ ├─Crowdsourced Data Integration\n │ ├─Cloud-Based Map Management\n │ ├─Virtual Perimeter Establishment\n │ ├─Local Context Awareness\n │ └─Dynamic Route Adjustment\n └>Communication Technologies\n ├─Vehicle-to-Vehicle (V2V) Communication\n └─Vehicle-to-Infrastructure (V2I) Integration", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_34", "image_path": "OMMapR/img/en_34_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Supply Chain Efficiency\n ├>Inventory Management\n │ ├─Just-In-Time (JIT) Strategies\n │ └─Demand Forecasting Models\n ├>Logistics and Transportation\n │ ├─Route Optimization Algorithms\n │ └─Multimodal Transport Integration\n ├>Technology Integration\n │ ├─Warehouse Management Systems (WMS)\n │ └─Internet of Things (IoT) for Tracking\n └>Process Automation\n ├─Automated Data Collection\n └─Robotic Process Automation (RPA)", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_35", "image_path": "OMMapR/img/en_35_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Urban Agriculture\n ├>Rooftop Gardens\n │ ├─Stormwater Management\n │ ├─Urban Heat Island Mitigation\n │ ├─Leisure and Recreation Spaces\n │ └─Community Involvement Initiatives\n ├>Vertical Farming\n │ ├─Space-Saving Solutions\n │ ├─Year-Round Crop Production\n │ └─Automation in Plant Care\n ├>Community Gardens\n │ ├─Neighborhood Greening\n │ ├─Food Security Enhancement\n │ ├─Social Cohesion and Networking\n │ ├─Therapeutic Horticulture Programs\n │ └─Youth Development and Education\n ├>Urban Beekeeping\n │ ├─Biodiversity Conservation\n │ ├─Apitherapy and Bee Products\n │ ├─Pollinator Education Workshops\n │ ├─Urban Ecosystem Health\n │ └─Local Apiary Regulations\n ├>Aquaponics\n │ ├─Sustainable Water Use\n │ └─Small-Scale Home Aquaponics\n └>Greenhouses in Urban Areas\n ├─All-Season Local Food Supply\n ├─Soil-less Cultivation Techniques\n ├─Urban Agriculture Tourism\n ├─Climate Resilient Agriculture\n ├─Innovative Insulation Materials\n └─Solar and Wind Energy Utilization", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_36", "image_path": "OMMapR/img/en_36_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>WEARABLE TECHNOLOGY IN HEALTH MONITORING\n ├>FITNESS TRACKERS\n │ ├─Step Counting and Physical Activity\n │ ├─Heart Rate Monitoring\n │ ├─Sleep Quality Analysis\n │ ├─Calorie Burn Estimation\n │ └─Long-Term Health Trends\n ├>SMART WATCHES\n │ ├─ECG and Heart Health\n │ ├─Blood Oxygen Saturation\n │ └─Fall Detection for Elderly Care\n ├>HEALTH-FOCUSED SMART CLOTHING\n │ ├─Biometric Sensors Integration\n │ └─Muscle and Joint Support\n ├>GLUCOSE MONITORING DEVICES\n │ ├─Continuous Glucose Sensors\n │ ├─Insulin Pump Integration\n │ ├─Dietary and Lifestyle Recommendations\n │ ├─Hypo- and Hyperglycemia Alerts\n │ └─Data Sharing with Healthcare Providers\n └>MENTAL HEALTH WEARABLES\n ├─Stress and Anxiety Tracking\n ├─Biofeedback for Relaxation\n ├─Cognitive Function Monitoring\n ├─Mood Disorder Management\n └>Therapeutic Support Tools\n ├─Guided Meditation and Breathing Exercises\n └─Progress Tracking and Reporting", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_37", "image_path": "OMMapR/img/en_37_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Personal Annual Planning\n ├>Career Development\n │ ├─Skill Enhancement\n │ ├─Networking Expansion\n │ ├─Goal Setting\n │ └─Work-Life Balance\n ├>Financial Planning\n │ ├─Budgeting\n │ ├─Investments\n │ ├─Debt Management\n │ └─Emergency Fund\n ├>Health and Wellness\n │ ├─Exercise Routine\n │ ├─Nutrition\n │ ├─Mental Health\n │ └─Health Checkups\n └>Personal Growth and Leisure\n ├─Travel Planning\n ├─Reading List\n └─Social Life", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_38", "image_path": "OMMapR/img/en_38_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Plastic Recycling\n ├>Sorting and Collection\n │ ├>By Type\n │ │ ├─PET (Polyethylene Terephthalate)\n │ │ ├─HDPE (High-Density Polyethylene)\n │ │ ├─PVC (Polyvinyl Chloride)\n │ │ └─LDPE (Low-Density Polyethylene)\n │ ├>By Color\n │ │ ├─Clear Plastics\n │ │ └─Colored Plastics\n │ └>By Use\n │ ├─Packaging Materials\n │ └─Industrial Waste\n ├>Recycling Processes\n │ ├>Cleaning and Shredding\n │ │ ├─Washing\n │ │ ├─Drying\n │ │ └─Grinding\n │ ├>Separation Techniques\n │ │ ├─Density Separation\n │ │ ├─Electrostatic Separation\n │ │ └─Chemical Separation\n │ └>Melting and Reprocessing\n │ ├─Extrusion\n │ └─Pelletizing\n ├>Reuse and Repurposing\n │ ├>Material Recovery\n │ │ ├─Turning into Resin\n │ │ └─Adding Fillers\n │ └>New Product Manufacturing\n │ ├─Plastic Lumber\n │ ├─Clothing and Textiles\n │ ├─Building Materials\n │ ├─Automotive Parts\n │ └─Furniture\n └>Environmental Impact\n ├─Pollution Reduction\n ├>Resource Conservation\n │ ├─Reduced Raw Material Usage\n │ ├─Energy Savings\n │ ├─Water Conservation\n │ └─Landfill Space Preservation\n └>Social Benefits\n ├─Job Creation\n └─Legislation Support", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_39", "image_path": "OMMapR/img/en_39_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Tourism Industry Overview\n ├>1. International Tourism\n │ ├>1.1. Inbound Tourism\n │ │ ├─1.1.1. Beijing\n │ │ └─1.1.2. Shanghai\n │ └>1.2. Outbound Tourism\n │ ├─1.2.1. Europe\n │ ├─1.2.2. Asia\n │ └─1.2.3. Personal Travel\n ├>2. Domestic Tourism\n │ ├>2.1. Group Tours\n │ │ ├─2.1.1. One-Day Tour\n │ │ └─2.1.2. Multiple-Day Tour\n │ └>2.2. Independent Travel\n │ ├─2.2.1. Self-Driving\n │ ├─2.2.2. Educational Tours\n │ └─2.2.3. Family Tours\n ├>3. Involved Sectors\n │ ├>3.1. Online Platforms\n │ │ ├─3.1.1. Information Services\n │ │ └─3.1.2. Booking Services\n │ ├>3.2. Transportation\n │ │ ├─3.2.1. Air Travel\n │ │ ├─3.2.2. Rail Travel\n │ │ └─3.2.3. Road Travel\n │ ├>3.3. Hotels\n │ │ ├─3.3.1. Budget Hotels\n │ │ └─3.3.2. Luxury Hotels\n │ ├>3.4. Attractions\n │ │ ├─3.4.1. Cultural Sites\n │ │ ├─3.4.2. Natural Sites\n │ │ └─3.4.3. Theme Parks\n │ ├>3.5. Shopping\n │ │ ├─3.5.1. Malls\n │ │ └─3.5.2. Local Markets\n │ └>3.6. Dining\n │ ├─3.6.1. Local Cuisine\n │ └─3.6.2. International Cuisine\n ├>4. Off-Peak Season\n │ ├>4.1. Adaptation Strategies\n │ │ ├─4.1.1. Pricing Adjustments\n │ │ ├─4.1.2. Diversified Services\n │ │ └─4.1.3. New Product Offerings\n │ ├>4.2. Marketing Approaches\n │ │ ├─4.2.1. Social Media Promotion\n │ │ ├─4.2.2. Online Campaigns\n │ │ └─4.2.3. Special Offers\n │ ├>4.3. Operation Adjustments\n │ │ ├─4.3.1. Reduced Staff\n │ │ ├─4.3.2. Flexible Hours\n │ │ └─4.3.3. Cost Management\n │ └>4.4. Revenue Management\n │ ├─4.4.1. Cash Flow Optimization\n │ ├─4.4.2. Seasonal Pricing\n │ ├─4.4.3. Inventory Management\n │ ├─4.4.4. Dynamic Pricing\n │ └─4.4.5. Discount Strategies\n └>5. Three Pillars of Tourism\n ├>5.1. Natural Resources\n │ ├─5.1.1. Landscapes\n │ ├─5.1.2. Wildlife\n │ ├─5.1.3. Climate\n │ └─5.1.4. Biodiversity\n ├>5.2. Human Resources\n │ ├─5.2.1. Cultural Heritage\n │ ├─5.2.2. Festivals and Events\n │ ├─5.2.3. Local Customs\n │ └─5.2.4. Cuisine\n └>5.3. Service Capacity\n ├─5.3.1. Hospitality Services\n ├─5.3.2. Professional Skills\n └─5.3.3. Infrastructure", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_3", "image_path": "OMMapR/img/en_3_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Paper\n ├>Topic\n │ ├─Identify the Research Field\n │ ├─Define the Research Question\n │ ├>Literature Review\n │ │ ├─Assess Existing Research\n │ │ └─Search for Relevant Literature\n │ └>Formulate Hypotheses\n │ ├─Operational Definitions\n │ └─Predicted Outcomes\n ├>Research\n │ ├>Quantitative Research\n │ │ ├─Experimental Design\n │ │ └─Data Analysis\n │ └>Qualitative Research\n │ ├─Case Studies\n │ └─Interviews and Observations\n ├>Data\n │ ├>Experimental Data\n │ │ ├─Lab\n │ │ └─Field\n │ └>Literature Data\n │ ├─Secondary Data Analysis\n │ └─Archival Research\n └>Writing\n ├>Academic Standards\n │ ├─Citations\n │ └─Avoiding Plagiarism\n ├>Clear Expression\n └>Consistent Formatting\n ├─Font and Spacing\n └─Tables and Figures", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_40", "image_path": "OMMapR/img/en_40_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>SHAKESPEARE'S LIFE AND WORKS\n ├>Phase One\n │ └>Introduction\n │ ├>Birth\n │ │ ├─April 1564\n │ │ └─Stratford-upon-Avon\n │ ├>Family Background\n │ │ ├─John Shakespeare (Father)\n │ │ └─Mary Arden (Mother)\n │ ├>Education\n │ │ ├─Grammar School\n │ │ └─Latin Studies\n │ ├>Marriage\n │ │ ├─Anne Hathaway\n │ │ └─Three Children\n │ └>Early Works\n │ ├>First Plays\n │ │ ├─\"Henry VI\"\n │ │ └─\"Titus Andronicus\"\n │ └>First Poems\n │ ├─\"Venus and Adonis\"\n │ └─\"The Rape of Lucrece\"\n ├>Phase Two\n │ ├>1590s\n │ │ ├─London Theatres\n │ │ └─Patronage by the Earl of Southampton\n │ ├>Major Works\n │ │ ├─\"Romeo and Juliet\"\n │ │ ├─\"A Midsummer Night's Dream\"\n │ │ └─\"The Merchant of Venice\"\n │ └>Poetic Achievements\n │ ├>Sonnets\n │ │ ├─154 Sonnets\n │ │ └─Themes of Love and Time\n │ └>Narrative Poems\n │ ├─\"Venus and Adonis\"\n │ └─\"The Rape of Lucrece\"\n ├>Phase Three\n │ ├>Mature Works\n │ │ ├>Tragedies\n │ │ │ ├─\"Hamlet\"\n │ │ │ ├─\"Othello\"\n │ │ │ └─\"Macbeth\"\n │ │ └>Comedies\n │ │ ├─\"Twelfth Night\"\n │ │ ├─\"As You Like It\"\n │ │ └─\"The Tempest\"\n │ └>Public Recognition\n │ ├>Globe Theatre\n │ │ ├─1599\n │ │ └─Major Performances\n │ └>Royal Patronage\n │ ├─King James I\n │ └─\"King's Men\" Acting Company\n ├>Phase Four\n │ └>Return to Stratford\n │ ├>Final Works\n │ │ ├─\"The Tempest\"\n │ │ └─\"The Winter's Tale\"\n │ └>Retirement\n │ └─Wealth and Land Ownership\n └>Phase Five\n ├>Legacy\n │ ├─Influence on Literature\n │ ├─Global Impact\n │ └─Cultural Icon\n └>Adaptations\n ├─Film\n ├─Theatre\n ├─Music\n └─Art", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_41", "image_path": "OMMapR/img/en_41_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Medieval Europe Timeline\n ├>5TH CENTURY\n │ ├>*The Fall of Rome*\n │ │ ├─476 AD: The Western Roman Empire collapses.\n │ │ ├─Barbarian invasions.\n │ │ └─Start of the \"Dark Ages.\"\n │ └>*Early Middle Ages*\n │ ├>Kingdoms and Tribes\n │ │ ├─Frankish Kingdom\n │ │ ├─Anglo-Saxons\n │ │ └─Visigoths and Ostrogoths\n │ └>Spread of Christianity\n │ ├─Monasteries established\n │ ├─Missionary work by St. Patrick, St. Augustine\n │ └─Conversion of Europe\n ├>8TH CENTURY\n │ ├>*Carolingian Empire*\n │ │ ├─Charlemagne crowned Emperor in 800 AD\n │ │ ├─Expansion of the Carolingian Empire\n │ │ └─Carolingian Renaissance\n │ └>*Viking Invasions*\n │ ├─Raids across Europe\n │ ├─Settlements in Normandy and Britain\n │ └─Impact on European kingdoms\n ├>11TH CENTURY\n │ ├>*The Norman Conquest*\n │ │ ├─1066 AD: Battle of Hastings\n │ │ ├─William the Conqueror becomes King of England\n │ │ └─Feudal System established\n │ └>*The Crusades*\n │ ├─1095 AD: First Crusade launched\n │ ├─Holy Wars between Christians and Muslims\n │ └─Impact on trade and cultural exchange\n ├>13TH CENTURY\n │ ├>*High Middle Ages*\n │ │ ├─Rise of Universities\n │ │ ├─Gothic Architecture\n │ │ └─Growth of towns and trade\n │ └>*Mongol Invasions*\n │ ├─Genghis Khan and his successors\n │ ├─Impact on Eastern Europe\n │ └─Establishment of the Silk Road trade routes\n └>14TH CENTURY\n ├>*The Black Death*\n │ ├─1347-1351: Plague devastates Europe\n │ ├─Death of millions\n │ └─Social and economic upheaval\n └>*The Hundred Years' War*\n ├─Conflict between England and France\n ├─Joan of Arc's role\n └─End in 1453 with French victory", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_42", "image_path": "OMMapR/img/en_42_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Front-End Tech Stack\n ├>Core Technologies\n │ ├>Languages\n │ │ ├─HTML5: Structure and semantics\n │ │ ├─CSS3: Styling and layout\n │ │ └─JavaScript: Functionality and interactivity\n │ └>Frameworks & Libraries\n │ ├─React: Component-based UI development\n │ ├─Vue.js: Progressive framework for building user interfaces\n │ └─Angular: Full-fledged framework for complex applications\n ├>Development Tools\n │ ├>Package Managers\n │ │ ├─npm: Node Package Manager for managing JavaScript dependencies\n │ │ └─yarn: Fast and reliable dependency management\n │ └>Build Tools\n │ ├─Webpack: Module bundler for optimizing web applications\n │ ├─Parcel: Zero-configuration bundler for a streamlined development experience\n │ └─Rollup: Specialized bundler for JavaScript libraries\n ├>Testing & Debugging\n │ ├>Unit Testing\n │ │ ├─Jest: JavaScript testing framework for fast and reliable tests\n │ │ └─Mocha: Flexible testing framework with a wide range of features\n │ └>End-to-End Testing\n │ ├─Cypress: Fast, easy and reliable testing for anything that runs in a browser\n │ ├─Selenium: Widely-used framework for automating web browsers\n │ └─Puppeteer: Node.js library for controlling headless Chrome\n └>Other Essential Skills\n ├>Version Control\n │ ├─Git: Distributed version control system for tracking code changes\n │ └─GitHub: Web-based platform for hosting and collaborating on Git repositories\n └>Performance Optimization\n ├─Image Optimization: Reducing image file sizes for faster loading times\n ├─Code Minification: Removing unnecessary characters from code to reduce file size\n └─Caching: Storing frequently accessed resources to improve loading speed", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_43", "image_path": "OMMapR/img/en_43_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Data Scientist\n ├>Programming\n │ ├>Python\n │ │ ├─NumPy\n │ │ ├─Pandas\n │ │ ├─Scikit-learn\n │ │ └─TensorFlow\n │ ├─R\n │ ├─SQL\n │ └─Java\n ├>Statistics\n │ ├─Probability Theory\n │ ├─Hypothesis Testing\n │ ├─Regression Analysis\n │ └─Bayesian Statistics\n ├>Big Data Technologies\n │ ├─Hadoop\n │ ├─Spark\n │ ├─NoSQL Databases\n │ ├─Cloud Computing\n │ ├─AWS\n │ ├─Google Cloud\n │ └─Azure\n ├>Machine Learning\n │ ├>Supervised Learning\n │ │ ├─Classification\n │ │ └─Regression\n │ ├>Unsupervised Learning\n │ │ ├─Clustering\n │ │ └─Dimensionality Reduction\n │ ├>Deep Learning\n │ │ ├─Neural Networks\n │ │ ├─CNN\n │ │ └─RNN\n │ └─Reinforcement Learning\n └>Data Visualization\n ├─Matplotlib\n ├─Seaborn\n ├─Tableau\n └─D3.js", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_44", "image_path": "OMMapR/img/en_44_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Maslow's Hierarchy of Needs\n ├>Physiological Needs\n │ ├>Food\n │ │ ├─Nutrients\n │ │ ├─Calories\n │ │ ├─Variety\n │ │ └─Availability\n │ ├>Water\n │ │ ├─Hydration\n │ │ └─Purity\n │ ├>Sleep\n │ │ ├─Rest\n │ │ ├─Cycles\n │ │ ├─Quality\n │ │ └─Dreams\n │ └>Shelter\n │ ├─Protection\n │ └─Comfort\n ├>Safety Needs\n │ ├>Personal Security\n │ │ ├─Safety Measures\n │ │ ├─Stability\n │ │ └─Environment\n │ ├>Employment\n │ │ ├─Job Security\n │ │ └─Income\n │ └>Health\n │ ├─Medical Care\n │ ├─Well-being\n │ ├─Prevention\n │ └─Fitness\n ├>Love and Belonging\n │ ├>Friendship\n │ │ ├─Companionship\n │ │ ├─Support\n │ │ ├─Trust\n │ │ └─Loyalty\n │ ├>Intimacy\n │ │ ├─Affection\n │ │ └─Connection\n │ └>Family\n │ ├─Bonds\n │ ├─Support\n │ └─Tradition\n ├>Esteem Needs\n │ ├>Respect\n │ │ ├─Recognition\n │ │ ├─Value\n │ │ └─Honor\n │ ├>Self-esteem\n │ │ ├─Confidence\n │ │ ├─Achievement\n │ │ └─Independence\n │ └>Recognition\n │ ├─Awards\n │ ├─Status\n │ ├─Titles\n │ └─Praise\n └>Self-Actualization\n ├>Creativity\n │ ├─Innovation\n │ ├─Expression\n │ └─Art\n ├>Problem Solving\n │ ├─Challenges\n │ ├─Solutions\n │ └─Critical Thinking\n └>Personal Growth\n ├─Learning\n ├─Development\n ├─Goals\n └─Fulfillment", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_45", "image_path": "OMMapR/img/en_45_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Mesh structure of CFN 5G\n ├>Type of the Mesh\n │ ├>Sand\n │ │ └─the issue of the sand\n │ └>A.I. powder\n │ └─the issue of the Tech\n ├>Machine\n │ ├>Available\n │ │ ├>Do test before buy\n │ │ │ ├─Test in the Machine factory directly\n │ │ │ └─confirm the range of the mesh\n │ │ └>Confirm with the Huayang\n │ │ ├─Charge\n │ │ ├─Time & Schedule\n │ │ └─Space\n │ └>Further Questions\n │ ├─No issue of Mesh\n │ └>Further issue of Mesh\n │ └─Who will take the responsibility\n ├>Market\n │ ├>Customers\n │ │ ├─Margin\n │ │ ├─Capacity of the Market\n │ │ └─New customer\n │ └>Competitors\n │ ├>Who\n │ │ ├─FMC?\n │ │ └>New product?\n │ │ ├─Who could instead of 5G\n │ │ └─When\n │ └>If no\n │ ├─Do brand as BETA\n │ ├─Still as supplier only\n │ └─Find new partner\n ├>Customer\n │ ├>New standard of Mesh\n │ │ └─Confirm the mesh by FCL instead of Sample\n │ ├>New price\n │ │ └─New margin\n │ └─Yearly purchasing Plan\n └>Beta\n ├>Sales\n │ ├─New product\n │ ├─Good Margin\n │ ├─Yearly purchasing plan\n │ └─Resolve every Issue with other Dept.\n ├>Purchasing\n │ ├─Do the product as the confirmed standard\n │ └─Co-work with the factory\n └>Tech Dept.\n └>Check and Confirm the 5G\n ├─Horace?\n └─Zhang?", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_46", "image_path": "OMMapR/img/en_46_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Website Member\n ├>Value\n │ ├>Expected Value\n │ │ ├─Solve the low repeat purchase rate of users.\n │ │ ├─More effective collection and mastery of user information.\n │ │ ├─More refined user interest and consumption habits mining, to achieve precision marketing.\n │ │ ├─User stratification and user profiling.\n │ │ ├─Enhance activity and retention, user stickiness and loyalty.\n │ │ └─Guide and encourage users to share their shopping experience.\n │ ├>User Value\n │ │ ├─Sense of accomplishment\n │ │ ├─Privileged services\n │ │ ├>More offers?\n │ │ │ └─Is it still attractive with so many offers already available?\n │ │ ├>Premium services?\n │ │ │ └─Is the cost of the enhanced service, versus the value to the member, positive?\n │ │ └─Quality assurance?\n │ └>User value embodiment\n │ ├>Member shopping area\n │ │ └─Exclusive Products\n │ ├─Exclusive Member Benefits\n │ ├─Exclusive Gifts\n │ ├─Lost Package Insurance\n │ ├─Shipping Voucher\n │ ├─Points for prizes\n │ ├─Points against consumption\n │ ├─Exclusive Customer Service\n │ ├─Returns Service Guarantee\n │ ├─Purchase Rebate (Points, Virtual Currency)\n │ ├─After-sales shipping costs\n │ ├─Birthday Gift Pack\n │ ├─Membership Level Gift Pack\n │ ├─Customs Insurance\n │ ├─VIP order exclusive packaging\n │ └─Logistics Speed Up\n ├>Mode\n │ ├>VIP\n │ │ ├>Features\n │ │ │ └─Stimulate users to overspend during the membership cycle\n │ │ ├>Get\n │ │ │ ├─Purchase\n │ │ │ ├─Points Redemption\n │ │ │ ├─Gold member or above gift pack (VIP service for 15 days)\n │ │ │ ├─Orders are randomly generated (OR Order amount reaches threshold)\n │ │ │ └─VIP Redemption Code\n │ │ └>Service\n │ │ ├─The same user value embodiment, select high-value service content.\n │ │ ├─Quality\n │ │ └─Low price\n │ ├>Membership points\n │ │ ├>Acquire\n │ │ │ ├─Shopping\n │ │ │ ├─Comments\n │ │ │ ├─Share\n │ │ │ ├─Sign in\n │ │ │ ├─Piazza Pictures\n │ │ │ ├─Square Likes\n │ │ │ └─Invite Friends\n │ │ └>Consumption\n │ │ ├─Lucky Draw\n │ │ ├─Redeem VIP services\n │ │ ├>offset consumption\n │ │ │ └─Refund processing\n │ │ └─Redeem Coupon\n │ └─Invite Membership\n └>Indicators\n ├─Frequency of consumption\n ├─Increase in transaction rate (and turnover).\n ├─User retention, activity increase.\n ├─Ratio of number of VIPs\n └─Service Cost", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_47", "image_path": "OMMapR/img/en_47_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Calligraphy\n ├>Historical Development\n │ ├─Ancient Origins\n │ ├─Medieval Styles\n │ └>Renaissance and Beyond\n │ ├─Humanist Minuscule\n │ ├>Italic Script\n │ │ └─Arrighi's La Operina\n │ ├─Copperplate\n │ ├─English Round Hand\n │ ├─Modern Calligraphy\n │ └─Gestural Styles\n ├>Tools and Materials\n │ ├─Writing Instruments\n │ ├─Inks and Paints\n │ ├>Paper\n │ │ └─Laid Paper\n │ └>Surfaces\n │ └─Parchment and Vellum\n ├>Techniques\n │ ├─Letter Construction\n │ ├>Basic Strokes\n │ │ ├─Thin and Thick Lines\n │ │ ├─Pressure Control\n │ │ └─Flourishes\n │ ├>Spacing and Composition\n │ │ ├─Kerning\n │ │ └─Leading\n │ └─Layout and Design\n ├>Styles\n │ ├─Western Calligraphy\n │ └─Eastern Calligraphy\n └>Applications\n ├>Fine Art\n │ ├─Gallery Exhibitions\n │ └─Calligraphic Paintings\n ├>Graphic Design\n │ ├─Logo Design\n │ └─Packaging\n ├>Typography\n │ ├─Book Design\n │ └─Digital Fonts\n ├>Digital Calligraphy\n │ └─Tablet and Stylus Techniques\n └>Learning and Practice\n ├─Foundational Exercises\n ├─Advanced Techniques\n ├─Workshops and Classes\n └>Resources\n ├─Calligraphy Books\n ├─Online Communities\n └─Video Tutorials", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_48", "image_path": "OMMapR/img/en_48_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>FELL OFF THE BIKE\n ├>No Fracture, Conscious\n │ ├>Minor Trauma, Treat Wounds\n │ │ └─Continue To Ride Or Ride Along In A Shuttle Bus.\n │ ├>Open Trauma, Treat Wound\n │ │ └>Get On The Back Of The Bus And Rest, Keep Observing\n │ │ └─Continue To Ride Or Ride Along In A Shuttle Bus\n │ └>Open Wound, Suture Required\n │ └>Call Ambulance\n │ └>Escort Staff To Hospital\n │ ├>Hospitalization For Observation\n │ │ └─Contact Family\n │ └>No Hospitalization\n │ └─Continue To Ride Or Ride In A Shuttle Bus\n └>Fracture, Unconsciousness\n ├>Call Ambulance\n │ └>Staff To Accompany To Hospital\n │ ├>Hospitalization\n │ │ └─Contact Family\n │ └>No Hospitalization\n │ └─Continue To Ride Or Follow In A Shuttle Bus.\n └>If The Location Is Remote And The Patient Can Be Moved, The Patient Will Be Transported Directly By The Service Vehicle.\n └>Accompanied By Staff To Hospital\n ├>Hospitalization\n │ └─Contact Family Members\n └>No Hospitalization\n └─Continue To Ride Or Ride With The Patient In The Back-Up Vehicle.", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_49", "image_path": "OMMapR/img/en_49_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Virtual Reality\n ├>HARDWARE\n │ ├>headsets\n │ │ ├>tethered vr headsets\n │ │ │ └─pc-connected (e.g., oculus rift, htc vive)\n │ │ ├>standalone vr headsets\n │ │ │ └─all-in-one (e.g., oculus quest, pico neo)\n │ │ └>smartphone vr headsets\n │ │ └─phone-based (e.g., google cardboard)\n │ ├>input devices\n │ │ ├─controllers\n │ │ ├─haptic gloves\n │ │ └─motion trackers\n │ └>accessories\n │ ├─treadmills\n │ ├─haptic suits\n │ └─eye-tracking modules\n ├>SOFTWARE\n │ ├>development platforms\n │ │ ├─unity\n │ │ ├─unreal engine\n │ │ └─webvr\n │ ├─content creation tools\n │ └─sdks and apis\n ├>APPLICATIONS\n │ ├─gaming\n │ ├─education and training\n │ ├─healthcare\n │ └─entertainment\n ├>USER EXPERIENCE\n │ ├>immersion techniques\n │ │ ├─field of view optimization\n │ │ ├─spatial audio\n │ │ └─haptic feedback\n │ ├>interaction design\n │ │ ├─natural gestures\n │ │ ├─voice commands\n │ │ └─gaze-based selection\n │ └>comfort and safety\n │ ├─motion sickness reduction\n │ ├─ergonomics\n │ └─user safety guidelines\n ├>TECHNICAL CHALLENGES\n │ ├>display technology\n │ │ ├─resolution and refresh rate\n │ │ ├─field of view\n │ │ └─lens design\n │ ├─tracking and sensing\n │ └>processing power\n │ ├─graphics processing\n │ └─wireless data transmission\n ├>SOCIAL AND ETHICAL IMPLICATIONS\n │ ├─privacy concerns\n │ ├─psychological effects\n │ └─social interactions\n └>FUTURE TRENDS\n ├>integration with ai\n │ ├─personalized vr experiences\n │ └─intelligent virtual assistants\n ├>mixed reality\n │ ├─ar/vr hybrid systems\n │ └─seamless real-world integration\n ├─brain-computer interfaces\n └>haptic technology advancements\n ├─full-body haptic feedback\n └─thermal and texture simulation", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_4", "image_path": "OMMapR/img/en_4_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Gourmet\n ├>Cuisines\n │ ├>East\n │ │ ├─Chinese\n │ │ └─Japanese\n │ └>West\n │ ├─French\n │ └─Italian\n ├>Dishes\n │ ├>Starters\n │ │ ├─Salads\n │ │ └─Soups\n │ ├>Mains\n │ │ ├─Meats\n │ │ └─Seafood\n │ └>Desserts\n │ ├─Cakes\n │ └─Ice Cream\n ├>Ingredients\n │ ├>Veggies\n │ │ ├─Tomatoes\n │ │ └─Carrots\n │ ├>Grains\n │ │ ├─Rice\n │ │ └─Wheat\n │ └>Spices\n │ ├─Pepper\n │ └─Cinnamon\n └>Cooking\n ├>Methods\n │ ├─Baking\n │ └─Frying\n └>Tools\n ├─Knives\n └─Ovens", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_5", "image_path": "OMMapR/img/en_5_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Cross-Cultural
Communication\n ├>Understanding Cultures\n │ ├>Historical Context\n │ │ ├─Traditions\n │ │ └─Evolution\n │ ├>Social Norms\n │ │ ├─Etiquette\n │ │ └─Values\n │ └>Cultural Symbols\n │ ├─Icons\n │ └─Festivals\n ├>Language\n │ ├>Verbal Communication\n │ │ ├─Vocabulary\n │ │ └─Grammar\n │ ├>Nonverbal Communication\n │ │ ├─Body Language\n │ │ └─Gestures\n │ └>Translation\n │ ├─Idioms\n │ └─Slang\n ├>Communication Styles\n │ ├─Direct vs. Indirect\n │ ├─High vs. Low Context\n │ └─Collectivist vs.Individualist\n └>Intercultural Competence\n ├>Awareness\n │ ├─Self-Awareness\n │ └─Cultural Awareness\n └>Skills\n ├─Listening\n └─Empathy", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_6", "image_path": "OMMapR/img/en_6_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Leadership Development\n ├─Personal Qualities\n ├>Development Programs\n │ ├─Education\n │ ├─Training\n │ ├─Mentorship\n │ └─Feedback\n └>Skills\n ├>Communication\n │ ├─Public Speaking\n │ └─Active Listening\n └>Decision Making\n ├─Problem Solving\n └─Risk Assessment", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_7", "image_path": "OMMapR/img/en_7_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Green Energy\n ├>Renewable Sources\n │ ├>Solar Power\n │ │ ├─Photovoltaic Cells\n │ │ └─Solar Thermal\n │ ├>Wind Energy\n │ │ ├─Onshore Turbines\n │ │ └─Offshore Turbines\n │ └>Hydroelectric Power\n │ ├─Dams\n │ └─Run-of-the-river Systems\n ├>Energy Efficiency\n │ ├>Building Design\n │ │ ├─Insulation\n │ │ └─Green Roofs\n │ ├>Smart Grids\n │ │ ├─Demand Response\n │ │ └─Load Balancing\n │ └>Energy Storage\n │ ├─Batteries\n │ └─Superconducting Magnetic Energy
Storage(Smes)\n └>Bioenergy\n ├>Biomass\n │ ├─Wood Pellets\n │ └─Agricultural Waste\n └>Biofuels\n ├─Ethanol\n └─Biodiesel", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_8", "image_path": "OMMapR/img/en_8_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Remote Work Tips\n ├>Workspace Setup\n │ ├>Dedicated Space\n │ │ ├─Home Office\n │ │ └─Quiet Area\n │ ├>Equipment\n │ │ ├─Laptop/Desktop\n │ │ └─Webcam/Microphone\n │ └>Comfort\n │ ├─Ergonomic Chair\n │ └─Proper Lighting\n ├>Time Management\n │ ├>Schedule\n │ │ ├─Work Hours\n │ │ └─Breaks\n │ ├>Prioritization\n │ │ ├─Task Lists\n │ │ └─Deadlines\n │ └>Focus\n │ ├─Pomodoro Technique\n │ └─Do Not Disturb Mode\n ├>Communication\n │ ├>Tools\n │ │ ├─Video Conferencing\n │ │ └─Project Management Apps\n │ ├>Regular Check-ins\n │ │ ├─Daily Stand-ups\n │ │ └─Weekly Syncs\n │ └>Clarity\n │ ├─Clear Expectations\n │ └─Feedback Channels\n └>Networking\n ├>Virtual Events\n │ ├─Webinars\n │ └─Online Meetups\n ├>Social Media\n │ ├─Linkedln\n │ └─Twitter\n └>Collaboration\n ├─Team Projects\n └─Peer Mentoring", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_en_9", "image_path": "OMMapR/img/en_9_xmind.jpeg", "prompt": "Please recognize and parse the mindmap in the figure and output it in file tree format. Text outside the mindmap is output in plain text. Use '
' as the line break symbol for text.", "answer": "└>Educational Technology
Innovations\n ├>Learning Platforms\n │ ├>LMS (Learning Management Systems)\n │ │ ├─Moodle\n │ │ └─Blackboard\n │ ├>Collaboration Tools\n │ │ ├─Google Workspace for Education\n │ │ └─Microsoft Teams for Education\n │ └>Adaptive Learning Systems\n │ └─DreamBox Learning\n ├>Virtual and Augmented Reality\n │ ├>VR Classrooms\n │ │ ├─Google Expeditions\n │ │ └─ClassVR\n │ ├>AR Learning Apps\n │ │ ├─Quiver\n │ │ └─Eon Reality\n │ └>Immersive Experiences\n │ ├─ZSpace\n │ └─Mozak\n └>Artificial Intelligence\n ├>Al Tutors\n │ ├─Squirrel AI\n │ └─Carnegie Learning\n └>Personalized Learning\n ├─ALEKS\n └─DreamBox", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_0", "image_path": "OMMapR/img/zh_0_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>功能高分子\n ├>光敏
高分子\n │ ├─感光树脂\n │ ├─光致变色高分子\n │ └─光导电高分子\n ├>导电
高分子\n │ ├─高分子半导体\n │ ├─高分子导体\n │ └─超导高分子\n ├─高分子催化剂与试剂\n ├─微生物降解高分子\n ├>交换型
高分子\n │ ├─离子交换树脂\n │ └─电子交换树脂\n ├>生物医药
高分子\n │ ├─高分子药物\n │ ├─医用高分子\n │ └─仿生高分子\n ├─高分子吸附剂\n └─高分子膜", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_10", "image_path": "OMMapR/img/zh_10_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>功能高分子\n ├>光敏高分子\n │ ├─感光树脂\n │ ├─光致变色高分子\n │ └─光导电高分子\n ├>导电高分子\n │ ├─高分子半导体\n │ ├─高分子导体\n │ └─超导高分子\n ├─高分子催化剂与试剂\n ├─微生物降解高分子\n ├>交换型高分子\n │ ├─离子交换树脂\n │ └─电子交换树脂\n ├>生物医药高分子\n │ ├─高分子药物\n │ ├─医用高分子\n │ └─仿生高分子\n ├─高分子吸附剂\n └─高分子膜", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_11", "image_path": "OMMapR/img/zh_11_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>滤料\n ├>纤维状滤膜\n │ ├─滤纸：由植物纤维组成，孔隙小、阻力大，测金属尘粒吸收性强，利于重
量法测颗粒物\n │ ├─颗粒纤维：超细玻璃纤维组成，孔隙不规则，耐高温，耐腐蚀，阻力小，
纤维状滤膜\n │ └─过氯乙烯滤膜：由过氯乙烯纤维组成，阻力小，可用有机溶剂完全溶解进
行分析，测定颗粒物分散度、测定化学成分\n └>筛孔状滤膜\n ├─核孔滤膜：微孔滤膜，核孔滤膜，把聚碳酸酯覆盖在铀箔上，用中子轰
击铀分裂，穿过滤膜微孔，再经化学处理后制成，常用作精
密重量分析\n └─银薄膜：银粒烧结成膜，结构与微孔膜相似，能耐高温，抗腐蚀，适
用于采集酸、碱、煤焦油、沥青、有机物等", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_12", "image_path": "OMMapR/img/zh_12_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>环境污染物\n ├>物理\n │ ├─声（噪声、振动）\n │ ├─光（紫外线、激光）\n │ ├─热\n │ ├─放射性（辐射、放射）\n │ └─高频波\n ├>化学（按存在形态）\n │ ├─阳离子态\n │ ├─阴离子态\n │ ├>分子态（无机物
与简单有机物）\n │ │ ├─SO2、CO、CO2、Cl2、 HCN、 CmHn、O3、\n │ │ ├─RX、RPO4、RNO3、RNO2、PCB、亚硝胺、\n │ │ ├─氯化烃、PAM、重金属、稀有金属、酚、\n │ │ └─醛\n │ ├>复杂有机物\n │ │ ├─苯并［a］芘\n │ │ └─石油、多氯联苯、蒽萘\n │ └>颗粒物\n │ ├─烃尘、金属尘、矿尘、无机粉尘\n │ └─碳粒、有机粉尘\n ├>生物\n │ ├─病菌、病毒\n │ └─霉素、寄生虫\n └>综合\n ├─烟尘\n ├─固体废弃物\n └─致病肌体", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_13", "image_path": "OMMapR/img/zh_13_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>被污染的环境\n ├>水环境\n │ ├─感观指标：SS、颜色、混淆度、臭味、油类、乙醛、其他肉眼可见物\n │ ├─毒理指标：苯胺、酚、 Hg、DDT、六六六、氟化物、CCl4、苯并 [a] 芘、其他重金属等\n │ ├─细菌学指标：细菌总数、大肠杆菌等\n │ ├─放射性指标：总α放射性、总β放射性\n │ └─其他指标：氨、酸、碱、硫化物等 \n └>大气环境\n ├─感观指标： CCl4 、CS2 、苯、CN-等\n ├─毒理指标： NOx、SOx、CO2、 HF 、苯等\n └─综合指标：烟尘、悬浮颗粒物", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_14", "image_path": "OMMapR/img/zh_14_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>环境污染源\n ├>自然污染源\n │ ├>生物污染源\n │ │ ├─鼠\n │ │ ├─蚊\n │ │ ├─蝇\n │ │ └─其他霉素病原体\n │ └>非生物污染源\n │ ├─火山\n │ ├─地震\n │ ├─泥石流\n │ ├─矿泉\n │ ├─岩石\n │ └─其他\n └>人为污染源\n ├>生产性污染源\n │ ├─工业\n │ ├─农业\n │ ├─交通\n │ ├─科研\n │ └─其他\n └>非生产性污染源\n ├─住宅\n ├─学校\n ├─医院\n └─商业", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_15", "image_path": "OMMapR/img/zh_15_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>证法\n ├>直接证法\n │ ├>（按推理顺序）\n │ │ ├─综合法\n │ │ └─分析法\n │ ├─（按对象种数）\n │ ├─完全归纳法\n │ └─数学归纳法\n └>间接证法\n └>（按等价命题）\n ├>反证法\n │ ├─归谬法\n │ └─穷举法\n └─同一法", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_16", "image_path": "OMMapR/img/zh_16_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>阅读理解\n ├─阅读短文\n └>理解问题\n ├─问题题干\n └>选择项\n ├─正确答案\n └─干扰项", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_17", "image_path": "OMMapR/img/zh_17_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>中国古代土地制度\n ├>土地所有制的演变\n │ ├─原始社会：公有制（氏族公社集体所有）\n │ ├>商周：井田制（名义上为国有的贵族土地所有制）\n │ │ ├─公田\n │ │ └─私田\n │ └>春秋战国后\n │ ├>土地私有\n │ │ ├─原因：铁农具、牛耕；税制改革和变法\n │ │ ├>形式\n │ │ │ ├─君主私有\n │ │ │ ├─地主私有\n │ │ │ └─自耕农私有\n │ │ └─土地兼并与均田\n │ └─土地国有\n └>土地经营方式的变革\n ├─原始社会：集体耕作\n ├─商周：大规模简单协作\n └>春秋战国后\n ├>私有\n │ ├─田庄经济（东汉）：强烈的人身依附关系\n │ ├>租佃\n │ │ ├─战国：出现\n │ │ ├─宋：成为仅次于自耕农形式的重要经营方式\n │ │ └─明清：成为主要经营方式\n │ └─自耕农耕作\n └>国有\n └─国有：（国家经营）屯田、均田", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_18", "image_path": "OMMapR/img/zh_18_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>总评价\n ├>测试成绩（单元、期末考等）（50％）\n └>成长档案袋\n ├─个人平时情况（30％）\n ├─个人代表作品（30％）\n └>探究性活动（40％）\n ├─活动过程（60％）\n └─活动结果（40％）", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_19", "image_path": "OMMapR/img/zh_19_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>“分析化学”课程网站\n ├─实验信息公告\n ├─最新网站消息\n ├>教学互动\n │ ├>教学论坛\n │ │ ├─课程作业\n │ │ ├─优秀作业展示\n │ │ ├─课程讨论\n │ │ ├─课程答疑\n │ │ ├─资源下载\n │ │ └─网站考试\n │ └>实验教学\n │ ├─实验条件\n │ ├>实验指导\n │ │ ├─教学公告\n │ │ ├─实验讨论\n │ │ ├─预习报告\n │ │ └─问题答疑\n │ ├─试验进度表\n │ └─优秀实验展示\n └─实验室课程预约", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_1", "image_path": "OMMapR/img/zh_1_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>复合材料的分类\n ├>按性能高低分为\n │ ├─常用（普通）复合材料\n │ └─先进复合材料\n ├>按基体材料的种类分为\n │ ├>聚合物基复合材料\n │ │ ├─热固性\n │ │ ├─热塑性\n │ │ └─橡胶\n │ ├─金属基复合材料\n │ ├─陶瓷基复合材料\n │ ├─石墨基复合材料（碳碳复合材料）\n │ └─混凝土基复合材料\n ├>按用途分为\n │ ├─结构复合材料\n │ ├─功能复合材料\n │ └─智能复合材料\n ├>按增强材料的种类分为\n │ ├>颗粒增强\n │ │ ├─随机分布\n │ │ └─择优分布\n │ ├─晶须增强\n │ └>纤维增强\n │ ├>单层复合材料\n │ │ ├─长纤维\n │ │ └─短纤维\n │ └>多层复合材料\n │ ├─层板复合\n │ └─混杂复合\n └>按增强材料的形状分为\n ├─零维（颗粒状）\n ├─一维（纤维状）\n ├─二维（片状或平面织物）\n └─三维（三向编织体）", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_20", "image_path": "OMMapR/img/zh_20_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>基于网络的教育\n ├>教育模型\n │ ├─进入资源\n │ ├─人际交流\n │ ├>创新教育模型\n │ │ ├─学习\n │ │ └─管理\n │ └─协作活动\n └>教育阶段\n ├─教育设计\n ├>教与学\n │ ├─主观内容\n │ └─认知能力\n └>管理\n ├─教育资源的分发\n ├─教学分配\n └─监控与管理", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_21", "image_path": "OMMapR/img/zh_21_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>软件工程\n ├─特定系统领域与应用\n ├>软件管理\n │ ├─管理概念\n │ ├─项目计划\n │ ├─项目人员与组织\n │ ├─项目控制\n │ └─软件配置管理\n ├>软件质量\n │ ├─软件质量概念与文化\n │ ├─软件质量标准\n │ ├─软件质量过程\n │ ├─过程保证\n │ └─产品保证\n ├>软件过程\n │ ├─过程概念\n │ └─过程实现\n ├>软件演化\n │ ├─演化过程\n │ └─演化活动\n ├>软件验证与确认\n │ ├─验证与确认的术语和基础\n │ ├─评审\n │ ├─测试\n │ ├─人机交互界面测试与评价\n │ └─问题分析与报告\n ├>计算基础\n │ ├─计算机科学基础\n │ ├─开发技术\n │ ├─开发工具\n │ └─形式化开发方法\n ├>数学与工程基础\n │ ├─数学基础\n │ ├─软件的工程基础\n │ └─软件工程经济学\n ├>专业实践\n │ ├─团队动力学／心理学\n │ ├─沟通技巧\n │ └─职业道德\n ├>软件建模与分析\n │ ├─建模基础\n │ ├─模型类型\n │ ├─分析基础\n │ ├─需求基础\n │ ├─获取需求\n │ ├─需求规格说明与文档\n │ └─需求验证\n └>软件设计\n ├─设计概念\n ├─设计策略\n ├─体系结构设计\n ├─详细设计\n ├─人机界面设计\n └─设计支持工具与评价", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_22", "image_path": "OMMapR/img/zh_22_imx.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>旅游\n ├>目的地旅游\n │ ├─自然风光\n │ ├─历史文化\n │ └─现代都市\n ├>行程规划\n │ ├─时间安排\n │ └─活动安排\n ├>住宿预订\n │ ├─酒店住宿\n │ ├─民宿体验\n │ └─露营探险\n ├>旅行装备\n │ ├─个人证件\n │ └─旅行用品\n ├>预算管理\n │ ├─基本开销\n │ ├─额外消费\n │ └─保险与应急\n └>交通方式\n ├─飞机\n └─地面交通", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_23", "image_path": "OMMapR/img/zh_23_imx.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>海洋生态保
护\n ├>污染控制\n │ ├>塑料垃圾\n │ │ ├─海滩清洁\n │ │ └─减少一次性塑料使用\n │ └>废水处理\n │ ├─工业废水\n │ └─生活污水\n ├>海洋生物保护\n │ ├>濒危物种\n │ │ ├─海龟保护\n │ │ └─鲸鱼保护\n │ └>珊瑚礁恢复\n │ ├─珊瑚种植\n │ └─海洋保护区\n ├>渔业管理\n │ ├─可持续捕捞\n │ ├─非法捕鱼打击\n │ └─水产养殖\n ├>科研与检测\n │ ├>海洋生物研究\n │ │ ├─物种多样性\n │ │ └─生态系统服务\n │ └>环境监测\n │ ├─水质监测\n │ └─气候变化影响评估\n └>气候变化应对\n ├>海平面上升\n │ ├─海岸线保护\n │ └─迁移计划\n └>海洋酸化\n ├─监测与研究\n └─减排行动", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_24", "image_path": "OMMapR/img/zh_24_imx.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>智能家居\n ├>家居安全系统\n │ ├>智能门锁\n │ │ ├─指纹识别\n │ │ └─密码与远程控制\n │ ├>监控摄像头\n │ │ ├─实时监控\n │ │ └─运动检测\n │ └>烟雾与煤气报警\n │ ├─即时通知\n │ └─自动关闭煤气阀门\n ├>能源管理\n │ ├>智能恒温器\n │ │ ├─温度自动调节\n │ │ └─节能模式\n │ └>智能照明\n │ ├─自动开关\n │ └─亮度调节\n ├>生活便利设施\n │ ├>智能厨房设备\n │ │ ├─智能冰箱\n │ │ └─智能烹饪设备\n │ └>健康与环境监测\n │ ├─空气质量监测\n │ └>健康追踪设备\n │ ├─睡眠监测\n │ └─运动数据记录\n └>娱乐与通信\n ├>智能音响\n │ ├─语音控制\n │ └─音乐播放\n └>家庭影院系统\n ├─高清视频播放\n └─多房间音频同步", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_25", "image_path": "OMMapR/img/zh_25_imx.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>社交媒体营销\n ├>内容创作\n │ ├>图文内容\n │ │ ├─品牌故事\n │ │ └─用户教育\n │ ├─视频制作\n │ └─直播互动\n ├>平台选择与优化\n │ ├─主流平台\n │ ├─内容优化\n │ └─广告投放\n ├>用户互动与社区建设\n │ ├>评论管理\n │ │ ├─正面互动\n │ │ └─负面应对\n │ └─社区活动\n ├>危机管理\n │ ├>负面舆情监控\n │ │ ├─自动预警\n │ │ └─人工干预\n │ └>公关响应\n │ ├─官方声明\n │ └─补救措施\n └>数据分析与报告\n ├>关键指标跟踪\n │ ├─点赞数\n │ └─分享数\n └>用户反馈收集\n ├─问卷调查\n └─用户访谈", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_26", "image_path": "OMMapR/img/zh_26_imx.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>读一本书\n ├>选择书籍\n │ ├─兴趣驱动\n │ ├─专业需求\n │ └─书评\n ├>阅读策略\n │ ├─速读\n │ ├─深度阅读 \n │ └─笔记\n └>复习与分享\n ├─定期复习 \n └─分享心得", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_27", "image_path": "OMMapR/img/zh_27_imx.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>个人理财规划\n ├>预算制定\n │ ├>收入记录\n │ │ ├─工资收入\n │ │ └─投资收益\n │ ├>支出分类\n │ │ ├─日常消费\n │ │ └─娱乐开支\n │ └>预算平衡\n │ ├─紧急基金\n │ └─储蓄目标\n ├>资产配置\n │ ├>现金管理\n │ │ ├─活期存款\n │ │ └─货币市场基金\n │ └>投资组合\n │ ├─股票投资\n │ └─债券与基金\n ├>退休规划\n │ ├─退休账户\n │ └>长期投资\n │ ├─指数基金\n │ └─房地产投资\n └>债务管理\n ├>信用卡使用\n │ ├─还款策略\n │ └─积分奖励\n ├>贷款规划\n │ ├─房贷\n │ └─车贷\n └>债务重组\n ├─利率比较\n └─债务合并", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_28", "image_path": "OMMapR/img/zh_28_imx.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>全球气候变化\n ├>极端天气事件\n │ ├─热浪\n │ ├─寒潮\n │ └─风暴\n ├>海平面上升\n │ ├─沿海侵蚀 \n │ └─城市淹没\n ├>冰川融化\n │ ├─淡水资源减少\n │ └─海平面进一步上升\n ├>生态系统变化\n │ ├─物种迁移\n │ └─森林退化\n ├>农业生产影响\n │ ├─作物产量下降 \n │ └─病虫害增加\n ├>生物多样性损失\n │ ├─物种灭绝\n │ └─遗传多样性减少\n ├>经济影响\n │ ├─农业损失\n │ └─保险成本上升\n ├>人类健康风险\n │ ├─热相关疾病\n │ └─传染病传播\n └>水资源分配\n ├─淡水短缺 \n └─水质恶化", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_29", "image_path": "OMMapR/img/zh_29_imx.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>保护环境\n ├>大气污染\n │ ├─雾霾\n │ ├─臭氧层\n │ └─尾气排放\n ├>循环材料\n │ ├─塑料重塑\n │ ├─可再生材料\n │ └─金属回收\n ├>减少碳排\n │ ├>可再生能源\n │ │ ├─生物能\n │ │ ├─风能\n │ │ └─水能\n │ ├─植被固碳\n │ └─减少碳足迹\n ├>土地保护\n │ ├─退耕还林\n │ └─土地绿化\n ├>水资源\n │ ├─海洋\n │ └>内陆\n │ ├─湖泊\n │ ├─河流\n │ └─湿地\n ├>生态多样\n │ ├─动物\n │ ├─植物\n │ └─微生物\n └>气候保护\n ├─海平面上升\n └>极端天气\n ├─台风\n ├─暴雨\n └─干旱", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_2", "image_path": "OMMapR/img/zh_2_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>微生物\n ├>①真核生物\n │ └>不完全菌\n │ └>念珠菌目\n │ └─②β-内酰胺类、
甾体类\n └>原核生物\n ├>放线菌目\n │ ├>链霉菌科\n │ │ └─氨基糖苷类、氯霉素、
环丝氨酸、β-内酰胺类、
林可霉素、大环内酯类、
新生霉素\n │ └─其他放线菌\n ├>真细菌目\n │ ├>棒状杆菌\n │ │ └─氯霉素、
大环内酯类\n │ └>芽孢杆菌\n │ └─粘菌素、
环丝氨酸、
氨基糖苷类\n └─假单孢菌目", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_30", "image_path": "OMMapR/img/zh_30_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>钢琴基础知识\n ├>音符\n │ ├>五线谱\n │ │ └─5线4间\n │ └>谱号\n │ ├>定义\n │ │ ├─五线谱上\n │ │ └─记号\n │ └>类型\n │ ├─高音谐号\n │ ├─中音谐号\n │ └─低音谐号\n └>琴键88\n ├>组\n │ ├>十二平均律\n │ │ ├─白\n │ │ └─黑\n │ └>音列分组\n │ ├─左边\n │ ├─中央\n │ └─右边\n ├>白\n │ ├>7个基本音名\n │ │ └─音名与唱名\n │ └>循环重复\n │ ├─音名\n │ └─音高\n └>黑\n └─填充白键之间的半音", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_31", "image_path": "OMMapR/img/zh_31_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>药物疗法与过敏试验法\n ├>药物过敏试验法\n │ ├>青霉素过敏试验与过敏的反
应\n │ │ ├─青霉素过敏反应的临床表现\n │ │ ├─青霉素过敏性休克的处理\n │ │ ├─青霉素过敏反应的预防\n │ │ └─青霉素过敏试验\n │ ├─头孢菌素过敏试验\n │ ├>破伤风抗毒素（TAT）过敏
试验及脱敏注射法\n │ │ ├─破伤风抗毒素（TAT）过敏
试验\n │ │ └─TAT脱敏注射法\n │ ├─链霉素过敏试验\n │ ├─普鲁卡因过敏试验\n │ ├─细胞色素c过敏试验\n │ └─碘过敏试验\n ├>给药的基本知识\n │ ├>药物的种类、领取和保管\n │ │ ├─药物的种类\n │ │ ├─药物的领取\n │ │ └─药物的保管\n │ ├─给药原则\n │ ├─给药途径\n │ └─给药的时间\n ├>注射给药法\n │ ├─注射原则\n │ ├─注射用物\n │ └>常用注射法\n │ ├─皮内注射法\n │ ├─皮下注射法\n │ ├─肌肉注射法\n │ ├─静脉注射法\n │ └─动脉注射法\n └>局部给药法\n ├─滴眼药法\n ├─滴鼻药法滴耳药法\n ├>插入给药法\n │ ├─直肠栓剂插入法\n │ └─阴道栓剂插入法\n └─皮肤给药法", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_32", "image_path": "OMMapR/img/zh_32_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>自我分析\n ├>心态\n │ ├─积极\n │ └─乐观\n ├>时间\n │ ├─目标\n │ ├─计划\n │ └─执行\n ├>人际交往\n │ ├>家人\n │ │ └─感恩\n │ ├>朋友\n │ │ └─真诚\n │ └>陌生人\n │ └─主动\n ├>爱好\n │ ├>娱乐\n │ │ ├─游戏\n │ │ ├─音乐\n │ │ └─舞蹈\n │ └>成长\n │ └─书籍\n └>健康\n ├>运动\n │ ├─跑步\n │ └─足球\n ├>饮食\n │ ├─均衡\n │ └─营养\n └>作息\n └─九个小时", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_33", "image_path": "OMMapR/img/zh_33_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>每日自检清单\n ├>财务\n │ ├─是否有不合
理消费？\n │ ├─是否定存？\n │ └─是否记账？\n ├>健康\n │ ├─是否规律饮
食？\n │ ├─是否早睡早
起？\n │ └─是否喝水
2-3L?\n ├>精神与心灵\n │ ├─是否冥想？\n │ ├─是否有敏感
的决策？\n │ └─是否感恩？\n ├>学习\n │ ├─是否每日读
书？\n │ └─是否精进技
能？\n └>工作\n ├─是否认真对
待主业？\n └─是否积极拓
展副业？", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_34", "image_path": "OMMapR/img/zh_34_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>每月待办\n ├>日常工作\n │ ├─新建\n │ ├─报表\n │ └─质控\n ├>梳理台账\n │ ├─掌握重点人群名册\n │ ├─系统建档总名册\n │ └─变动名册\n └>总结\n ├─导出名单\n └─处理迁入迁出", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_35", "image_path": "OMMapR/img/zh_35_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>新产品\n ├─公司战略\n ├>职能战略\n │ ├─平台战略\n │ ├─技术战略 \n │ ├─知识产权\n │ ├─营销战略\n │ └─能力战略\n └>创新战略\n ├>成本和差异化\n │ ├─成本领先\n │ ├─差异化\n │ └─细分战略\n ├─创新地图\n └─持续性与颠覆性", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_36", "image_path": "OMMapR/img/zh_36_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>商业计划\n ├>战略\n │ ├>成就\n │ │ ├─是什么？\n │ │ └─什么时候？\n │ └>计划\n │ ├─短期计划\n │ └─长期计划\n ├>行政总结\n │ ├─概述\n │ ├─长久\n │ └─持续\n ├>目标市场\n │ ├─顾客\n │ └─竞争对手\n ├>财务\n │ ├─现金流\n │ ├─收支平衡\n │ ├─所需资金\n │ └─预测\n ├>管理团队\n │ ├─跟踪记录\n │ ├>经验\n │ │ ├─自己\n │ │ └─搭档\n │ └>技能\n │ ├─自己\n │ └─搭档\n ├>公司\n ├─雇员\n └─办公室", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_37", "image_path": "OMMapR/img/zh_37_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>ABC情绪分析\n ├>理论\n │ ├─A：前因\n │ ├─B：看待事情的角度\n │ └─C：结果\n └>自我谈话\n ├>观察情绪\n │ ├─我的情绪状态如何？\n │ ├─我如何去思考？\n │ └─是什么导致了我的焦虑？\n ├>控制负面情绪\n │ ├─找到内在的支撑\n │ ├─如何舒缓我的情绪？\n │ └─现在的问题是什么？\n └─缓解焦虑", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_38", "image_path": "OMMapR/img/zh_38_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>有效沟通的艺术\n ├>倾听技巧\n │ ├>主动倾听\n │ │ ├─全神贯注\n │ │ └─避免打断\n │ ├>同理心倾听\n │ │ ├─情感共鸣\n │ │ └─理解对方立场\n │ └>批判性倾听\n │ ├─评估信息\n │ └─识别偏见\n ├>适应性沟通\n │ ├>文化差异\n │ │ ├─尊重多样性\n │ │ └─文化敏感性\n │ ├>个性差异\n │ │ ├─因人而异\n │ │ └─调整沟通风格\n │ └>情境适应\n │ ├─正式与非正式场合\n │ └─紧急与日常交流\n ├>非语言沟通\n │ ├>肢体语言\n │ │ ├─面部表情\n │ │ └─姿势与手势\n │ ├─声音语调\n │ ├─音量控制\n │ └─语速与停顿\n ├>冲突解决\n │ ├>识别问题\n │ │ ├─明确分歧\n │ │ └─界定问题范围\n │ ├─协商解决\n │ ├─寻求共识\n │ └─妥协与和解\n ├>清晰表达\n │ ├>简洁明了\n │ │ ├─避免冗长\n │ │ └─直接表达要点\n │ ├>逻辑结构\n │ │ ├─条理清晰\n │ │ └─因果关系\n │ └>情感投入\n │ ├─真诚表达\n │ └─适度情感\n └>情绪管理\n ├>自我调节\n │ ├─控制情绪\n │ └─保持冷静\n └─识别他人情绪", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_39", "image_path": "OMMapR/img/zh_39_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>团队建设活动\n ├>户外拓展训练\n │ ├>团队定向越野\n │ │ ├─地图阅读\n │ │ └─策略规划\n │ ├─野外生存挑战\n │ └>户外团队游戏\n │ ├─拔河\n │ └─接力赛\n ├>志愿服务活动\n │ ├>社区服务\n │ │ ├─环境清洁\n │ │ └─公益宣传\n │ └>慈善捐助\n │ ├─物资捐赠\n │ └─志愿服务\n ├>工作坊与研讨会\n │ ├─专业技能提升\n │ └>团队协作主题\n │ ├─沟通技巧\n │ └─冲突解决\n ├>团队庆祝活动\n │ ├>年度庆典\n │ │ ├─颁奖典礼\n │ │ └─团队回顾\n │ ├>生日庆祝\n │ │ └─生日派对\n │ └─里程碑纪念\n └>团队建设游戏\n ├>室内团队游戏\n │ ├─逃脱房间\n │ └─团队拼图\n ├>角色扮演游戏\n │ ├─模拟经营\n │ └─情景模拟\n └>创意工作坊\n ├─艺术创作\n └─创新思维训练", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_3", "image_path": "OMMapR/img/zh_3_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>链霉菌以外的放线菌目（“稀放”）\n ├─小单胞菌
氨基糖苷类
袢环大环内酯类
大环内酯类
肽类\n ├─马杜拉放线菌
袢环大环内酯类
蒽环类
肽类\n ├─游动放线菌
缩酚肽类
肽类
多烯类\n ├─孢囊链霉菌
西伯利亚霉素
优胜霉素
普拉克托霉素\n ├─诺卡氏菌
氨基糖苷类
禅环大环内酯类
氨霉素\n └─其他", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_40", "image_path": "OMMapR/img/zh_40_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>压力管理\n ├>时间管理\n │ ├─优先级设定\n │ ├─日程规划\n │ ├─避免拖延\n │ └─及时总结\n ├>社交支持\n │ ├─家庭和朋友\n │ └─专业咨询\n ├>放松技巧\n │ ├─深呼吸练习\n │ ├─运动\n │ ├─按摩\n │ ├─与人交流\n │ └─冥想与正念\n ├>兴趣爱好\n │ ├>艺术创作\n │ │ ├─绘画\n │ │ └─音乐\n │ └>户外活动\n │ ├─徒步\n │ └─摄影\n ├>身体锻炼\n │ ├─有氧运动\n │ ├>力量训练\n │ │ ├─举重\n │ │ ├─硬拉\n │ │ └─俯卧撑\n │ ├>柔韧性练习\n │ │ ├─瑜伽\n │ │ ├─压腿\n │ │ └─拉伸\n │ └─其他运动\n ├>心理调适\n │ ├>自我认知\n │ │ ├─情绪识别\n │ │ └─自我反思\n │ └>积极心态\n │ ├─正面自我对话\n │ └─感恩练习\n └>健康饮食\n ├>均衡营养\n │ ├─蛋白质摄入\n │ ├─蔬菜\n │ ├─水果\n │ └─适量碳水\n └>避免咖啡因和酒精\n ├─适量饮水\n └─健康零食", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_41", "image_path": "OMMapR/img/zh_41_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>摄影技巧入门\n ├>摄影基础理论\n │ ├─曝光三要素\n │ └>ISO感光度\n │ ├─感光度调整\n │ └─噪点控制\n ├>构图技巧\n │ ├>规则构图\n │ │ ├─三分法\n │ │ └─黄金分割\n │ └>创意构图\n │ ├─对称构图\n │ └─前景运用\n ├>光线运用\n │ ├>自然光\n │ │ ├─黄金时段\n │ │ └─阴影效果\n │ └>人造光\n │ ├─闪光灯\n │ └─持续光源\n ├>相机操作\n │ ├>相机设置\n │ │ ├─模式选择\n │ │ └─白平衡调整\n │ └>拍摄模式\n │ ├─自动模式\n │ └─手动模式\n ├>后期处理\n │ ├>色彩校正\n │ │ ├─白平衡调整\n │ │ └─色彩饱和度\n │ └>图像编辑\n │ ├─裁剪与旋转\n │ └─滤镜效果\n └>设备维护\n ├>相机保养\n │ ├─清洁镜头\n │ └─防潮防震\n └>配件管理\n ├─存储卡管理\n └─电池维护", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_42", "image_path": "OMMapR/img/zh_42_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>高效做笔记的方法\n ├>使用速记和缩略语\n │ ├─缩短长单词和短语\n │ └─创建个人缩写和符号\n ├>整理笔记\n │ ├─使用标题、项目符号、编号、高亮\n │ └─将相关主题归类在一起\n ├>专注于关键概念\n │ ├─识别并记下核心思想\n │ └─不要试图逐字逐句记录所有内容\n ├>使用自己的话语\n │ └─转述信息，而不是逐字复制\n ├>审查和修改\n │ ├─课后立即安排时间复习笔记\n │ ├─补充遗漏的信息\n │ └─修改不准确的内容\n ├>充分利用技术\n │ ├─如允许，使用录音设备\n │ └─使用笔记本电脑、平板电脑加快记笔记的速度\n ├>创建速记方法\n │ └─为常用术语、概念等创建简短版本\n └>按日期、主题整理笔记\n ├─使用分隔符、文件夹或数字归档\n └─将笔记按时间顺序或按主题分组", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_43", "image_path": "OMMapR/img/zh_43_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>宠物护理\n ├>日常清洁\n │ ├─毛发梳理\n │ ├─口腔卫生\n │ └─耳朵清洁\n ├>营养与饮食\n │ ├>均衡饮食\n │ │ ├─宠物专用食品\n │ │ └─自制食物\n │ └>营养补充\n │ ├─维生素\n │ ├─矿物质\n │ └─电解质\n ├>健康检查\n │ ├>定期体检\n │ │ ├─疫苗接种\n │ │ └─血液检查\n │ └>疾病预防\n │ ├─驱虫\n │ └─预防性药物\n ├>运动与活动\n │ └>日常运动\n │ └─散步\n ├>行为训练\n │ ├>基础命令\n │ │ ├─坐下\n │ │ ├─站立\n │ │ ├─转圈\n │ │ ├─点头\n │ │ └─握手\n │ └>不良行为纠正\n │ ├─吠叫控制\n │ └─咬合训练\n └>安全与防护\n ├>居家安全\n │ ├─危险物品存放\n │ └─宠物防护设施\n └>外出安全\n └─牵引绳使用", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_44", "image_path": "OMMapR/img/zh_44_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>电影鉴赏与分析\n ├>电影类型与流派\n │ ├>剧情片\n │ │ ├─家庭剧\n │ │ ├─传记片\n │ │ ├─爱情片\n │ │ └─战争片\n │ ├─科幻片\n │ ├>动画片\n │ │ ├─儿童动画\n │ │ └─成人动画\n │ └>纪录片\n │ ├─历史纪录片\n │ ├─自然纪录片\n │ ├─社会问题\n │ └─人物传记\n ├>电影叙事与结构\n │ ├>线性叙事\n │ │ ├─单一线索\n │ │ ├─多线索交织\n │ │ └─时间顺序推进\n │ └>非线性叙事\n │ ├─闪回技巧\n │ ├─倒叙手法\n │ ├─多角度叙述\n │ ├─断裂时间线\n │ └─意识流\n ├>电影语言与技巧\n │ ├>摄影技巧\n │ │ ├─长镜头\n │ │ ├─短镜头\n │ │ ├─景深控制\n │ │ └─运动摄影\n │ ├>声音设计\n │ │ ├─环境音效\n │ │ ├─对话音效\n │ │ └─音乐配乐\n │ └>表演艺术\n │ ├─演员选择\n │ ├─角色塑造\n │ ├─情感表达\n │ └─肢体语言\n └>电影主题与象征\n ├>社会议题\n │ ├─政治批判\n │ ├─经济问题\n │ ├─种族问题\n │ └─性别平等\n └>人性探讨\n ├─爱与恨\n ├─善与恶\n ├─信仰与怀疑\n ├─自由与束缚\n └─生与死", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_45", "image_path": "OMMapR/img/zh_45_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>push场景化展示\n ├>目标\n │ ├─提高送达点击率1%绝对值，点击uv增加60w\n │ └─消息的展示率会下降，可能对部分用户造成打扰\n ├>关键路径：用户活跃时触发展示\n │ ├>过期时间\n │ │ ├─无show time，消息到达后6小时内\n │ │ └─有show time，往右推迟1小时\n │ ├>解锁时\n │ │ └─查找未展示的消息进行展示\n │ ├>退出某个应用回到系统应用时\n │ │ ├─工具\n │ │ ├─游戏\n │ │ └─资讯\n │ └>消息到达或周期轮询时\n │ ├─亮屏且非锁屏界面\n │ └─距离消息过期时间小于1小时\n └>消息展示\n ├─push消息展示时间间隔为15分钟，即间隔时间内最多只展示1条消息\n ├─悬浮窗停留时长动态调整？\n ├─根据用户的兴趣、行为和偏好定制消息内容，使其更加相关和吸引人\n └─确保通知内容不会泄露用户的私人信息", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_46", "image_path": "OMMapR/img/zh_46_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>家庭园艺\n ├>园艺规划\n │ ├>花园设计\n │ │ ├─主题花园\n │ │ ├─功能性分区\n │ │ └─色彩搭配\n │ ├>空间布局\n │ │ ├─垂直园艺\n │ │ ├─容器园艺\n │ │ └─地面覆盖\n │ └>季节性规划\n │ ├─春季播种\n │ ├─夏季养护\n │ ├─秋季收获\n │ └─冬季保护\n ├>植物选择\n │ ├>观赏植物\n │ │ ├>花卉\n │ │ │ ├─一年生花卉\n │ │ │ ├─多年生花卉\n │ │ │ └─球根花卉\n │ │ └>观叶植物\n │ │ ├─室内绿植\n │ │ └─户外地被\n │ └>食用植物\n │ ├─蔬菜\n │ └─水果\n ├>土壤管理\n │ ├>土壤改良\n │ │ ├─有机质添加\n │ │ ├─沙土改良\n │ │ └─黏土改良\n │ └>排水系统\n │ ├─排水沟设置\n │ └─渗水材料使用\n ├>灌溉系统\n │ ├>手动灌溉\n │ │ ├─喷壶\n │ │ └─水管\n │ └>自动灌溉\n │ ├─滴灌系统\n │ ├─喷灌系统\n │ └─定时器设置\n ├>植物养护\n │ ├>修剪整形\n │ │ ├─树木修剪\n │ │ └─灌木整形\n │ ├>病虫害防治\n │ │ ├─物理防治\n │ │ ├─生物防治\n │ │ └─化学防治\n │ └>施肥管理\n │ ├─有机肥料\n │ ├─复合肥料\n │ └─叶面喷肥\n ├>繁殖与移植\n │ ├─种子繁殖\n │ └>植物移植\n │ ├─移植时机\n │ ├─根系保护\n │ └─定植后管理\n ├>园艺工具与设备\n │ ├>基础工具\n │ │ ├─铲子\n │ │ ├─剪刀\n │ │ ├─园艺手套\n │ │ ├─园艺喷雾器\n │ │ ├─锄头\n │ │ └─耙子\n │ ├>高级设备\n │ │ ├─割草机\n │ │ ├─修剪机\n │ │ └─喷雾器\n │ └─存储与维护\n └>可持续园艺\n ├>有机园艺\n │ ├─自然肥料\n │ ├─生物控制\n │ └─渗水井\n └─生态平衡", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_47", "image_path": "OMMapR/img/zh_47_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>产品经理必备\n ├>数据分析\n │ ├─数据统计\n │ └─运营分析\n ├>知识储备\n │ ├─行业知识\n │ └─战略意识\n ├>文档编写\n │ ├─培训计划\n │ ├─总结汇报\n │ ├─产品文档\n │ └─需求管理\n ├>时间管理\n │ ├─上线规划\n │ └─项目进度\n ├>设计能力\n │ ├─交互设计\n │ ├─功能设计\n │ └─界面设计\n ├>沟通能力\n │ ├─资源调配\n │ ├─高效会议\n │ ├─用户访谈\n │ ├─团队管理\n │ └─高层讨论\n └>技术储备\n ├─编程实现\n ├─技术评估\n └─最新技术", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_48", "image_path": "OMMapR/img/zh_48_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>节日装饰DIY\n ├>节日彩灯制作\n │ ├─LED灯串创意：利用LED灯串制作个性化的节日装饰，可以缠绕在家具、
镜子或楼梯扶手上，为家增添温馨气氛\n │ └─手制纸灯笼：使用彩色纸张和竹签制作传统纸灯笼，可以贴上剪纸图案或绘画，
挂于室内增添节日色彩\n ├>节日主题墙\n │ ├─照片墙布置：将家庭照片和节日装饰结合，制作一面节日主题的照片墙，
记录下每个节日的美好瞬间\n │ └─主题挂饰：根据节日主题制作挂饰，如圣诞的雪花、万圣节的南瓜灯、
春节的福字挂饰，增添节日氛围\n └>节日餐桌布置\n ├─桌布与餐具选择：选择与节日主题相匹配的桌布和餐具，如圣诞的红色和绿色、
春节的金色和红色，为节日聚餐增添色彩\n └─餐桌中心装饰：制作或购买节日主题的餐桌中心装饰，如圣诞树、春节的花篮，
为节日聚餐增添焦点", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_49", "image_path": "OMMapR/img/zh_49_xmind.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>情绪智力培养\n ├>自我意识\n │ ├─情绪识别：学会识别和理解自己的情绪，包括快乐、悲伤、愤怒等\n │ ├─自我反思：定期进行自我反思，思考情绪产生的原因和影响，以及如何更好地管理情绪\n │ └─情绪表达：学习以健康和适当的方式来表达自己的情绪，避免压抑或过度发泄\n ├>社交技能\n │ ├─同理心：培养同理心，理解他人的感受和立场\n │ └─沟通技巧：提高沟通技巧，包括倾听、表达和非语言沟通\n ├>压力管理\n │ ├─应对策略：学习有效的压力应对策略，如时间管理、放松技巧和积极思考\n │ └─情绪调节：掌握情绪调节技巧，如深呼吸、冥想和正念练习\n └>自我激励\n ├─目标设定：设定清晰、可实现的个人目标，这有助于提高自我激励和情绪智力\n └─积极心态：培养积极的心态，学会从挑战中寻找机会，将失败视为成长的机会", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_4", "image_path": "OMMapR/img/zh_4_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>GNSS兼容接收机技术\n ├>基带技术与算法\n │ ├>多模信号接收
与处理技术\n │ │ ├─高灵敏度捕获技术与跟踪算法\n │ │ ├─高灵敏度跟踪技术\n │ │ ├─多模伪距融合技术\n │ │ ├─多模伪距平滑技术\n │ │ └─信号接收通道结构技术\n │ └>伪距处理技术\n │ ├─多模解算技术\n │ ├─多模RAIM技术\n │ ├─多模GDOP技术\n │ ├─多频大气层延迟模型\n │ ├─城市环境多径修正技术\n │ ├─自主完整性检测技术\n │ └─自适应信号处理技术\n ├>射频技术\n │ ├>多通道设计
与带宽技术\n │ │ ├─多模多频、高灵敏度高动态范围接收技术\n │ │ ├─宽带滤波技术\n │ │ ├─宽带天线设计、与RF前端匹配技术和工艺\n │ │ └─天线的模拟通道技术\n │ └>芯片设计与
测试技术\n │ ├─超深亚米或纳米物理设计技术\n │ ├─高集成度多模兼容射频芯片架构技术\n │ ├─芯片级电磁兼容性设计和优化技术\n │ ├─射频、模拟IP核的电路实现技术\n │ ├─基于A-GNSS的无缝定位技术\n │ ├─高性能小型化射频芯片封装结构设计技术\n │ ├─射频芯片测试技术\n │ ├─小型化、低功耗技术\n │ ├─多IP集成和封装\n │ └─芯片的DFT和BIST设计\n ├>硬件技术\n │ ├─专业用终端嵌入式应用与支撑软件\n │ ├─功率控制与管理技术\n │ ├─高性能低噪音低功耗放大技术\n │ ├─多模终端机小型化低功耗技术\n │ ├─多模兼容技术\n │ ├─组合导航技术\n │ ├─高精度授时、校频、守时技术\n │ ├─天线的工艺一致性技术\n │ ├─天线带宽扩展技术\n │ ├─天线多频点技术和抗干扰技术\n │ ├─天线的小型化、一体化技术\n │ ├─相位中心稳定、抗多径抗干扰天线技术\n │ ├─与惯导等其他导航系统的紧密耦合技术\n │ └─高灵敏度解算算法\n └>软件技术\n └─专业用终端嵌入式应用与支撑软件", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_5", "image_path": "OMMapR/img/zh_5_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>卫星导航
电子地图\n ├>定位测距技术\n │ ├>导航定位技术\n │ │ ├─地图精度\n │ │ └─定位精度\n │ └─高分辨遥感与测量\n ├>图像和多媒体技术\n │ ├─图像处理技术\n │ ├─图像分析提取技术\n │ └>多媒体技术\n │ ├─语音导航\n │ └─智能显示\n ├>数据库技术\n │ ├─多源数据融合技术\n │ ├>空间数据结构\n │ │ ├─数据基本结构\n │ │ └─数据存储方式\n │ ├>空间数据可视化\n │ │ ├─3D技术\n │ │ └─虚拟现实技术\n │ └>数据库管理\n │ └─面向对象数据库\n ├>数据处理技术\n │ ├>数据通信与网络\n │ │ └─增量更新技术\n │ └─数据更新技术\n ├─嵌入式技术\n ├>路径搜索算法\n │ ├─最短路径算法\n │ ├─启发式搜索算法\n │ ├─分层搜索算法\n │ ├─双向搜索算法\n │ └─路网拓扑\n ├─GIS平台\n └>软件管理技术\n ├─软件更新\n └─软件管理", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_6", "image_path": "OMMapR/img/zh_6_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>卫星导航系统集成应用技术\n ├>个人位置服务\n │ ├>客户服务中心\n │ │ ├─系统数据库\n │ │ ├─个人定位系统\n │ │ ├─客户服务平台\n │ │ ├─信息发布系统\n │ │ └─增值服务系统\n │ ├>移动数据终端\n │ │ ├─通信模块\n │ │ ├─定位模块\n │ │ ├─告警模块\n │ │ ├─信息接收模块\n │ │ └─其他模块\n │ └>其他配套产品\n │ ├─电子地图\n │ └─……\n ├>物流行业应用\n │ ├>监控调度中心\n │ │ ├─系统数据库\n │ │ ├─客户服务平台\n │ │ ├─信息发布系统\n │ │ ├─增值服务系统\n │ │ └>监控调度系统\n │ │ ├─实时监控\n │ │ ├─越界告警\n │ │ ├─轨迹回放\n │ │ ├─围栏设置\n │ │ ├─实时通信\n │ │ └─其他功能\n │ ├>车载定位终端\n │ │ ├─通信模块\n │ │ ├─定位模块\n │ │ ├─控测模块\n │ │ ├─告警模块\n │ │ └─其他模块\n │ └>其他配套产品\n │ ├─电子地图\n │ ├─物流自助终端\n │ └─……\n └>智能交通服务\n ├>调度指挥中心\n │ ├─数据库采集系统\n │ ├─监控调度系统\n │ ├─系统数据库\n │ ├─交通信息分析系统\n │ ├─信息发布系统\n │ ├─其他增值服务系统\n │ └>数据处理系统\n │ ├─交通卡口数据\n │ ├─视频监控数据\n │ ├─浮动车数据\n │ ├─交通事故数据\n │ └─交通异动数据\n ├>车载信息终端\n │ ├─定位模块\n │ ├─信息接收模块\n │ ├─检测模块\n │ ├─其他模块\n │ └>通信模块\n │ ├─GPRS\n │ ├─CDMA1\n │ ├─TDCDMA\n │ └─SMS\n └>其他配套产品\n ├─电子地图\n ├─交通诱导系统\n ├─自助终端\n ├─FM接收机\n └─……", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_7", "image_path": "OMMapR/img/zh_7_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>污染物质分类\n ├>无机污染物\n │ ├>单质\n │ │ ├─金属\n │ │ └─非金属\n │ └>化合物\n │ ├>酸\n │ │ ├─无氧酸\n │ │ └─含氧酸\n │ ├>碱\n │ │ ├─可溶性\n │ │ └─不溶性\n │ ├>盐\n │ │ ├─正盐\n │ │ ├─复盐\n │ │ └─酸碱盐\n │ ├─络合物\n │ └>氧化物\n │ ├─成盐\n │ └─不成盐\n └>有机污染物\n ├>烃类\n │ ├>链烃\n │ │ ├─饱和\n │ │ └─不饱和\n │ └>环烃\n │ ├─环烷烃\n │ └─芳香烃\n └>烃的衍生物\n ├─酚类\n ├─醛类\n ├─酮类\n ├─酯类\n ├─胺、𮲫胺类\n ├─硝基化合物\n └─卤代烃", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_8", "image_path": "OMMapR/img/zh_8_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>环境标准体系\n ├>国家环境标准\n │ ├─环境质量标准\n │ ├>环境基础标准\n │ │ ├─环境标准\n │ │ └─物质标准\n │ ├─污染物排放标准\n │ ├>环境方法标准\n │ │ └─环保仪器设备标准\n │ └─污染报警标准\n └>地方环境标准
（含部门环境标准）\n ├─环境质量标准\n └─污染物排放标准", "type": "MindMap" }, { "sub_set": "OMMapR", "id": "ommapr_zh_9", "image_path": "OMMapR/img/zh_9_lib.jpeg", "prompt": "请识别并解析图中的思维导图，用文件树格式输出。思维导图外的文字用普通文本输出。文本的换行符号用‘
’。", "answer": "└>仪器类型\n ├─火焰原子化光度计
(F-AAS)\n ├>无火焰原子化光度计
(FL-AAS)\n │ ├─电加热原子化光度计
(ET-AAS)\n │ └>冷蒸气原子化光度计
(CV-AAS)\n │ ├─电热原子化光度计
(ETA-AAS)\n │ └>热丝原子化光度计
(Filament AAS)\n │ ├─石墨炉原子化光度计
(GF-AAS)\n │ └─金属炉原子化光度计
(MF-AAS)\n └─氢化物发生原子化光度计
(HG-AAS)", "type": "MindMap" }, { "sub_set": "OMathR", "id": "omathr_math_0", "image_path": "OMathR/img/0_wb.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "C_b=\\left\\{\\begin{array}{cl}10 \\lg \\frac{3 \\pi \\sqrt{\\left(1-t^2\\right)}}{4 \\arctan \\sqrt{\\frac{1-t}{1+t}}}, & t=\\frac{40 f \\delta}{3 c} \\leq 1 \\\\10 \\lg \\frac{3 \\pi \\sqrt{\\left(t^2-1\\right)}}{2 \\ln \\left(t+\\sqrt{\\left(t^2-1\\right)}\\right)}, & t=\\frac{40 f \\delta}{3 c}>1\\end{array}\\right.", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_10", "image_path": "OMathR/img/10_lib.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "E(Z)=E(g(X, Y))=\\left\\{\\begin{array}{c}\\sum_i \\sum_j g\\left(x_i, y_j\\right) P\\left(X=x_i, Y=y_j\\right) \\\\((X, Y) \\text { 为离散型随机变量 }) \\\\\\int_{-\\infty}^{+\\infty} \\int_{-\\infty}^{+\\infty} g(x, y) f(x, y) \\mathrm{d} x \\mathrm{~d} y \\\\((X, Y) \\text { 为连续型随机变量 })\\end{array}\\right.", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_11", "image_path": "OMathR/img/11_lib.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "D(X)= \\begin{cases}\\sum_i\\left(x_i-E(X)\\right)^2 P\\left(X=x_i\\right) & (X \\text { 为离散型随机变量 }) \\\\ \\int_{-\\infty}^{+\\infty}(x-E(X))^2 f(x) \\mathrm{d} x & (X \\text { 为连续型随机变量 })\\end{cases}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_12", "image_path": "OMathR/img/12_lib.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{aligned}f_Y(y) & =\\int_{-\\infty}^{+\\infty} f(x, y) \\mathrm{d} x=\\left\\{\\begin{array}{cl}\\int_{-\\sqrt{R^2-y^2}}^{\\sqrt{R^2}} \\frac{1}{\\pi R} \\mathrm{~d} x \\\\0\\end{array}\\right. \\\\& =\\left\\{\\begin{array}{cl}\\frac{2}{\\pi R^2} \\sqrt{R^2-y^2} & (|y| \\leqslant R) \\\\0 & (\\text { 其他 })\\end{array}\\right.\\end{aligned}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_13", "image_path": "OMathR/img/13_lib.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "f_{X \\mid Y}(x \\mid y)=\\frac{f(x, y)}{f_Y(y)}=\\left\\{\\begin{array}{cl}\\frac{1}{2 \\sqrt{R^2-y^2}} & \\left(-\\sqrt{R^2-x^2} \\leqslant y \\leqslant \\sqrt{R^2-x^2}\\right) \\\\0 & (\\text { 其他 })\\end{array}\\right.", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_14", "image_path": "OMathR/img/14_lib.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\left\\{\\begin{array}{l}\\mathrm{i} \\Delta \\varepsilon_t+\\Delta^2 \\varepsilon-\\nabla \\cdot(n \\nabla \\varepsilon)=0, \\\\n_{t t}-\\Delta n=\\Delta\\left(|\\nabla \\varepsilon|^2\\right), \\quad x \\in \\Omega, \\quad t>0, \\\\\\left.\\varepsilon\\right|_{t=0}=\\varepsilon_0(x),\\left.\\quad n\\right|_{t=0}=n_0(x),\\left.\\quad n_t\\right|_{t=0}=n_1(x), \\quad x \\in \\Omega, \\\\\\left.\\varepsilon\\right|_{\\partial \\Omega}=0,\\left.\\quad \\frac{\\partial^2 \\varepsilon}{\\partial v^2}\\right|_{\\partial \\Omega}=0,\\left.\\quad n\\right|_{\\partial \\Omega}=0, t>0,\\end{array}\\right.", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_15", "image_path": "OMathR/img/15_lib.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\left\\{\\begin{array}{l}\\mathrm{i} \\Delta \\varepsilon_t+\\Delta^2 \\varepsilon-\\nabla \\cdot(n \\nabla \\varepsilon)=0, \\\\n_{t t}-\\Delta n=\\Delta\\left(|\\nabla \\varepsilon|^2\\right), \\quad x \\in \\Omega, \\quad t>0, \\\\\\left.\\varepsilon\\right|_{t=0}=\\varepsilon_0(x),\\left.\\quad n\\right|_{t=0}=n_0(x),\\left.\\quad n_t\\right|_{t=0}=n_1(x), \\quad x \\in \\Omega, \\\\\\left.\\varepsilon\\right|_{\\partial \\Omega}=0,\\left.\\quad \\frac{\\partial^2 \\varepsilon}{\\partial v^2}\\right|_{\\partial \\Omega}=0,\\left.\\quad n\\right|_{\\partial \\Omega}=0, t>0,\\end{array}\\right.", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_16", "image_path": "OMathR/img/16_lib.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\left\\{\\begin{array}{l}L_{\\varepsilon} u=L u-\\varepsilon u_{x^6}=0, \\quad 0<\\varepsilon<1 \\\\u(x, t)=u(x+2 D, t), \\quad D>0 \\\\u(x, 0)=\\psi_{\\varepsilon}(x), \\psi_{\\varepsilon}(x)=\\psi_{\\varepsilon}(x+2 D)\\end{array}\\right.", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_17", "image_path": "OMathR/img/17_lib.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\left.\\begin{array}{l}\\sup _{0 \\leqslant t \\leqslant T_0}\\left\\|\\delta^k Z_h\\right\\|_2 \\leqslant C \\\\\\sup _{0 \\leqslant t \\leqslant T_0}\\left\\|\\delta^{k-2} Z_{h t}\\right\\|_2 \\leqslant C, \\quad(k \\geqslant 2) \\\\\\sup _{0 \\leqslant t \\leqslant T_0}\\left\\|\\delta^{k-4} Z_{h t t}\\right\\|_2 \\leqslant C, \\quad(k \\geqslant 4)\\end{array}\\right\\}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_18", "image_path": "OMathR/img/18_lib.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\left\\{\\begin{array}{l}\\frac{t}{2}, t \\in[0,10] \\\\5, t \\in(10,120] \\\\-\\frac{t}{180}+\\frac{17}{3}, t \\in(120,300] \\\\4, t \\in(300,540] \\\\\\frac{t}{60}-5, t \\in(540,600] \\\\5, t \\in(600,627] \\\\\\frac{39 t+2000}{400}, t \\in(627,658]\\end{array}\\right.", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_19", "image_path": "OMathR/img/19_oecd.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "P_{\\mathrm{n}, \\mathrm{BEV}, \\mathrm{c}, \\mathrm{t}}=\\exp \\left(A_{B E V}+\\boldsymbol{x}_{B E V, c, t}^{\\prime} \\widehat{\\boldsymbol{\\beta}}_{B E V, c, g(n)}\\right) /\\left(\\sum_j \\exp \\left(A_j+\\boldsymbol{x}_{j, c, t}^{\\prime} \\widehat{\\boldsymbol{\\beta}}_{j, c, g(n)}\\right)\\right)", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_1", "image_path": "OMathR/img/1_wb.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "C_d=-10 \\lg \\frac{d \\arctan \\frac{l}{2 d_0}+\\frac{2 l^2}{4 d_0{ }^2+l^2}}{d_0 \\arctan \\frac{l}{2 d}+\\frac{2 l^2}{4 d^2+l^2}}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_20", "image_path": "OMathR/img/20_oecd.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{aligned}&\\text { Adjusted MFP growth }\\\\&\\begin{aligned}& =\\ln \\left(\\frac{Q_t}{Q_{t-1}}\\right) \\\\& -\\left\\{S_{L, t}\\left[\\ln \\left(\\frac{L Q_t}{L Q_{t-1}}\\right)+\\ln \\left(\\frac{H_t}{H_{t-1}}\\right)\\right]\\right. \\\\& \\left.+S_{K, t} \\ln \\left(\\frac{K S E R_t}{K S E R_{t-1}}\\right)\\right\\}\\end{aligned}\\end{aligned}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_21", "image_path": "OMathR/img/21_oecd.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{aligned}& \\left(\\prod_{i=1}^{n_{11}} p_{i, 11} \\times \\prod_{i=1}^{n_{10}} p_{i, 10}\\right)^{\\frac{1}{n_{11}+n_{10}}}=\\left(\\prod_{i=1}^{n_{11}} p_{i, 11}\\right)^{\\frac{1}{n_{11}+n_{10}}} \\times\\left(\\prod_{i=1}^{n_{10}} p_{i, 10}\\right)^{\\frac{1}{n_{11}+n_{10}}} \\\\& =\\left(\\left(\\prod_{i=1}^{n_{11}} p_{i, 11}\\right)^{\\frac{1}{n_{11}}}\\right)^{\\frac{n_{11}}{n_{11}+n_{10}}} \\times\\left(\\left(\\prod_{i=1}^{n_{10}} p_{i, 10}\\right)^{\\frac{1}{n_{10}}}\\right)^{\\frac{n_{10}}{n_{11}+n_{10}}} \\times \\tilde{p}_{11}^{\\frac{n_{11}}{n_{11}+n_{10}}} \\times \\tilde{p}_{10}^{\\frac{n_{10}}{n_{11}+n_{10}}}\\end{aligned}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_22", "image_path": "OMathR/img/22_iea.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "FlexibilityNeeds_{year,short-term}=\\frac{\\frac{\\sum_{t\\in\\{t_1,t_2...t_{100}\\}with\\ Ramp(t_i)\\geq Ramp(t_{i+1})}Ramp(t)}{100}}{\\frac{AnnualElectricityDemand_{year}}{8760}}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_23", "image_path": "OMathR/img/23_oecd.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{aligned}F_P & =\\sqrt{L_P \\times P_P}=\\tilde{p}_{11}^{\\frac{0.5 \\times n_{11}}{n_{11} n_{10}}} \\times \\tilde{p}_{10}^{\\frac{0.5 \\times n_{10}}{n_{11}+n_{10}}} \\times \\tilde{p}_{11}^{\\frac{0.5 \\times n_{11}}{n_{11}+n_{01}}} \\times \\tilde{p}_{01}^{\\frac{0.5 \\times n_{01}}{n_{11}+n_{01}}} \\\\& =\\tilde{p}_{11}^{\\left(\\frac{0.5 \\times n_{11}}{n_{11}+n_{10}}+\\frac{0.5 \\times n_{11}}{n_{11}+n_{01}}\\right)} \\times \\tilde{p}_{10}^{\\frac{0.5 \\times n_{10}}{n_{11}+n_{10}}} \\times \\tilde{p}_{01}^{\\frac{0.5 \\times n_{01}}{n_{11}+n_{01}}}\\end{aligned}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_24", "image_path": "OMathR/img/24_iea.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{aligned}& \\text { FlexibilityNeeds }{ }_{\\text {year,weekly }} \\\\& =\\frac{\\sum_{t \\in \\text { year }} \\mid \\text { ResidualLoadDailyAvg }(t)-\\text { ResidualLoadWeeklyAvg }(t) \\mid}{\\text {AnnualElectricityDemand}_{\\text {year }}}\\end{aligned}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_25", "image_path": "OMathR/img/25_rmj.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{aligned}& \\int_0^{\\infty} \\exp \\left(-n \\int_0^{\\varphi} \\frac{1}{\\sqrt{1-x \\sin ^2 \\theta}} \\mathrm{~d} \\theta\\right) \\mathrm{d} \\varphi \\\\= & \\frac{1}{n+\\mathbf{K}_{m=1}^{\\infty} \\frac{m^2 x^{\\frac{(-1)^{m+1}+1+1}{2}}}{n}}=\\frac{1}{n+\\frac{x}{n+\\frac{4}{n+\\frac{9 x}{n+\\frac{16}{n+\\ddots}}}}}\\end{aligned}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_26", "image_path": "OMathR/img/26_rmj.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\sqrt{\\varnothing+2}-\\varnothing=\\frac{e^{-\\frac{2 \\pi}{5}}}{1+\\frac{e^{-2 \\pi}}{1+\\frac{e^{-4 \\pi}}{1+\\frac{e^{-6 \\pi}}{1+\\cdots}}}}=0.2840 \\ldots", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_27", "image_path": "OMathR/img/27_rmj.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\sqrt{1+2 \\sqrt{1+3 \\sqrt{1+4 \\sqrt{1+5 \\sqrt{1+\\ldots}}}}}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_28", "image_path": "OMathR/img/28_rmj.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{aligned}3 & =\\sqrt{1+2 * 4} \\\\& =\\sqrt{1+2 \\sqrt{1+3 * 5}} \\\\& =\\sqrt{1+2 \\sqrt{1+3 \\sqrt{1+4 * 6}}} \\\\& =\\sqrt{1+2 \\sqrt{1+3 \\sqrt{1+4 \\sqrt{1+5 * 7}}}} \\\\& =\\sqrt{1+2 \\sqrt{1+3 \\sqrt{1+4 \\sqrt{1+5 \\sqrt{1+6 * 8}}}}} \\\\& =\\ldots\\end{aligned}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_29", "image_path": "OMathR/img/29_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rl}&{P_{n|k}^{\\mathrm{(ii)}}=\\frac{\\tau_{\\mathrm{m}}}{\\tau_{\\mathrm{d}}}}\\\\&{\\times\\sum_{f=0}^{\\operatorname{min}(k-1,n-1)}\\sum_{l=0}^{f}\\binom{k}{l}\\binom{n}{f+1}p^{n-f-1}(1-p)^{f+1}}\\\\&{\\times\\left[B_{n\\frac{\\tau_{\\mathrm{d}}}{\\tau_{\\mathrm{m}}},(n+1)\\frac{\\tau_{\\mathrm{d}}}{\\tau_{\\mathrm{m}}}}\\left(k-l+1,l+1\\right)\\right.}\\\\&{\\left.-B_{(n-1)\\frac{\\tau_{\\mathrm{d}}}{\\tau_{\\mathrm{m}}},n\\frac{\\tau_{\\mathrm{d}}}{\\tau_{\\mathrm{m}}}}\\left(k-l+1,l+1\\right)\\right]}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_2", "image_path": "OMathR/img/2_wb.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{gathered}Y_{b(c), y}=\\alpha+\\beta_1 \\text { Ln }\\left(\\text { Assets }_{b(c), y}\\right)+\\beta_2 \\text { Capital_Ratio }_{b(c), y}+\\beta_3 \\text { NPLs }_{b(c), y}+\\beta_4 R O A_{b(c), y}+ \\\\\\beta_5 \\text { Liquid_Assets }_{b(c), y}+\\beta_6 \\text {Public }_{b(c), y}+\\beta_7 \\text { Foreign }_{b(c), y} \\times \\text { Govt_Debt }_{c, y}+q_{c, y}+e_{b, y}\\end{gathered}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_30", "image_path": "OMathR/img/30_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "{\\left(\\begin{array}{lllllll}{1}&{1}&{1}&{1}&{0}&{0}&{0}\\\\{1}&{-}&{0}&{0}&{1}&{1}&{0}\\\\{1}&{0}&{-}&{0}&{-}&{0}&{1}\\\\{1}&{0}&{0}&{-}&{0}&{-}&{-}\\\\{0}&{1}&{-}&{0}&{0}&{1}&{-}\\\\{0}&{1}&{0}&{-}&{1}&{0}&{1}\\\\{0}&{0}&{1}&{-}&{-}&{1}&{0}\\end{array}\\right)}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_31", "image_path": "OMathR/img/31_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rl}{\\log\\Lambda(x)}&{=\\log\\left({\\frac{\\theta_{1}^{-1}e^{-{\\frac{x}{\\theta_{1}}}}}{\\theta_{0}^{-1}e^{-{\\frac{x}{\\theta_{0}}}}}}\\right)}\\\\&{=\\log\\left({\\frac{\\theta_{0}}{\\theta_{1}}}e^{{\\frac{x}{\\theta_{0}}}-{\\frac{x}{\\theta_{1}}}}\\right)}\\\\&{=\\log\\left({\\frac{\\theta_{0}}{\\theta_{1}}}\\right)+\\log\\left(e^{{\\frac{x}{\\theta_{0}}}-{\\frac{x}{\\theta_{1}}}}\\right)}\\\\&{=-\\log\\left({\\frac{\\theta_{1}}{\\theta_{0}}}\\right)+\\left({\\frac{x}{\\theta_{0}}}-{\\frac{x}{\\theta_{1}}}\\right)}\\\\&{=-\\log\\left({\\frac{\\theta_{1}}{\\theta_{0}}}\\right)+\\left({\\frac{\\theta_{1}-\\theta_{0}}{\\theta_{0}\\theta_{1}}}\\right)x}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_32", "image_path": "OMathR/img/32_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}&{\\frac{\\operatorname{P}[X_{i,t}=n]}{\\operatorname{P}[X_{i,t}>n]}}\\\\&{=\\frac{\\sum_{m=1}^{M}p_{m}e^{-\\lambda_{m}}\\frac{\\lambda_{m}^{n}}{n!}}{\\sum_{k=n+1}^{\\infty}\\sum_{m=1}^{M}p_{m}e^{-\\lambda_{m}}\\frac{\\lambda_{m}^{k}}{k!}}}\\\\&{=\\frac{p_{1}e^{-\\lambda_{1}}\\frac{\\lambda_{1}^{n}}{n!}+\\sum_{m=2}^{M}p_{m}e^{-\\lambda_{m}}\\frac{\\lambda_{m}^{n}}{n!}}{p_{1}e^{-\\lambda_{1}}\\frac{\\lambda_{1}^{n+1}}{(n+1)!}+\\sum_{m=2}^{M}p_{m}e^{-\\lambda_{m}}\\frac{\\lambda_{m}^{n+1}}{(n+1)!}+\\sum_{k=n+2}^{\\infty}\\sum_{m=1}^{M}p_{m}e^{-\\lambda_{m}}\\frac{\\lambda_{m}^{k}}{k!}}}\\\\&{=\\frac{p_{1}e^{-\\lambda_{1}}\\frac{\\lambda_{1}^{n}}{n!}\\left(1+\\sum_{m=2}^{M}\\frac{p_{m}}{p_{1}}e^{-\\lambda_{m}+\\lambda_{1}}\\left(\\frac{\\lambda_{m}}{\\lambda_{1}}\\right)^{n}\\right)}{p_{1}e^{-\\lambda_{1}}\\frac{\\lambda_{1}^{n+1}}{(n+1)!}M_{n}(\\lambda_{1},\\dots,\\lambda_{M})}}\\\\&{\\sim\\frac{n}{\\lambda_{1}}\\frac{1+\\sum_{m=2}^{M}\\frac{p_{m}}{p_{1}}e^{-\\lambda_{m}+\\lambda_{1}}\\left(\\frac{\\lambda_{m}}{\\lambda_{1}}\\right)^{n}}{M_{n}(\\lambda_{1},\\dots,\\lambda_{M})}\\sim\\frac{n}{\\lambda_{1}},}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_33", "image_path": "OMathR/img/33_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "G_{n}=\\left[\\begin{array}{lllllll}{1}&{1}&{1}&{1}&{0}&{\\cdots}&{0}\\\\{-1}&{\\ddots}&{\\ddots}&{\\ddots}&{\\ddots}&{\\ddots}&{\\vdots}\\\\{0}&{\\ddots}&{\\ddots}&{\\ddots}&{\\ddots}&{\\ddots}&{0}\\\\{\\vdots}&{\\ddots}&{\\ddots}&{\\ddots}&{\\ddots}&{\\ddots}&{1}\\\\{\\vdots}&{\\ddots}&{\\ddots}&{\\ddots}&{\\ddots}&{\\ddots}&{1}\\\\{\\vdots}&{\\ddots}&{\\ddots}&{\\ddots}&{\\ddots}&{\\ddots}&{1}\\\\{0}&{\\cdots}&{\\cdots}&{\\cdots}&{0}&{-1}&{1}\\end{array}\\right].", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_34", "image_path": "OMathR/img/34_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}{s_{\\mathrm{a}}(t)}&{\\triangleq{\\mathcal{F}}^{-1}[S_{\\mathrm{a}}(f)]}\\\\&{={\\mathcal{F}}^{-1}[S(f)+\\operatorname{sgn}(f)\\cdot S(f)]}\\\\&{=\\underbrace{{\\mathcal{F}}^{-1}\\{S(f)\\}}_{s(t)}+\\overbrace{\\underbrace{{\\mathcal{F}}^{-1}\\{\\operatorname{sgn}(f)\\}}_{j{\\frac{1}{\\pi t}}}*\\underbrace{{\\mathcal{F}}^{-1}\\{S(f)\\}}_{s(t)}}^{\\mathrm{convolution}}}\\\\&{=s(t)+j\\underbrace{\\left[{\\frac{1}{\\pi t}}*s(t)\\right]}_{\\operatorname{\\mathcal{H}}[s(t)]}}\\\\&{=s(t)+j{\\hat{s}}(t),}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_35", "image_path": "OMathR/img/35_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "{\\mathcal{M}}_{n}=\\left[{\\begin{array}{cccccc}{\\mathbf{J}}&{\\mathbf{H}_{2}}&{\\mathbf{H}_{1}}&{\\mathbf{H}_{0}}&{\\mathbf{a}_{2}}&{\\mathbf{a}_{1}}\\\\{\\mathbf{0}}&{-\\mathbf{J}^{\\intercal}}&{\\mathbf{I}}&{\\mathbf{0}}&{\\mathbf{0}}&{\\mathbf{0}}\\\\{\\mathbf{0}}&{\\mathbf{0}}&{-\\mathbf{J}^{\\intercal}}&{\\mathbf{I}}&{\\mathbf{0}}&{\\mathbf{0}}\\\\{\\mathbf{0}}&{\\mathbf{0}}&{\\mathbf{0}}&{-\\mathbf{J}^{\\intercal}}&{\\mathbf{0}}&{\\mathbf{0}}\\\\{\\mathbf{0}}&{\\mathbf{0}}&{\\mathbf{0}}&{\\mathbf{0}}&{0}&{1}\\\\{\\mathbf{0}}&{\\mathbf{0}}&{\\mathbf{0}}&{\\mathbf{0}}&{0}&{0}\\end{array}}\\right]\\in\\mathbb{R}^{(4d+2)\\times(4d+2)},", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_36", "image_path": "OMathR/img/36_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}&{[H_{1},E_{1}]=2E_{1},\\quad[H_{1},F_{1}]=-2F_{1},\\quad[E_{1},F_{1}]=H_{1},}\\\\&{[H_{2},E_{2}]=2E_{2},\\quad[H_{2},F_{2}]=-2F_{2},\\quad[E_{2},F_{2}]=H_{2},}\\\\&{[H_{2}-H_{1},E_{3}]=2E_{3},\\quad[H_{2}-H_{1},F_{3}]=-2F_{3},}\\\\&{[E_{3},F_{3}]=H_{2}-H_{1},\\quad[H_{1},E_{2}]=E_{2},}\\\\&{[H_{1},E_{3}]=-E_{3},\\quad[H_{2},E_{1}]=E_{1},\\quad[H_{2},E_{3}]=E_{3},}\\\\&{[H_{1},F_{2}]=-F_{2},\\quad[H_{1},F_{3}]=F_{3},\\quad[H_{2},F_{1}]=-F_{1},}\\\\&{[H_{2},F_{3}]=-F_{3},\\quad[F_{1},F_{2}]=0,\\quad[F_{2},F_{3}]=0,}\\\\&{[E_{1},E_{2}]=0,\\quad[E_{1},E_{3}]=0.}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_37", "image_path": "OMathR/img/37_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rl}{\\left[\\begin{array}{lll}{A}&{0}&{0}\\\\{0}&{A^{\\top}}&{I}\\\\{S^{k}}&{0}&{X^{k}}\\end{array}\\right]\\left[\\begin{array}{l}{\\dot{x}}\\\\{\\dot{\\lambda}}\\\\{\\dot{s}}\\end{array}\\right]}&{=\\left[\\begin{array}{c}{r_{b}(x^{k})}\\\\{r_{c}(\\lambda^{k},s^{k})}\\\\{x^{k}\\circ s^{k}}\\end{array}\\right]}\\\\{\\left[\\begin{array}{lll}{A}&{0}&{0}\\\\{0}&{A^{\\top}}&{I}\\\\{S^{k}}&{0}&{X^{k}}\\end{array}\\right]\\left[\\begin{array}{l}{\\ddot{x}}\\\\{\\ddot{\\lambda}}\\\\{\\ddot{s}}\\end{array}\\right]}&{=\\left[\\begin{array}{c}{0}\\\\{0}\\\\{-2\\dot{x}\\circ\\dot{s}}\\end{array}\\right].}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_38", "image_path": "OMathR/img/38_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{r}{\\left.\\begin{array}{l}{\\mathrm{Q}_{0}=\\left(\\begin{array}{lll}{0}&{-1}&{1}\\\\{-1}&{0}&{0}\\\\{1}&{0}&{0}\\end{array}\\right),}\\\\{mbox{Q}_{1}=\\left(\\begin{array}{lll}{0}&{-1}&{0}\\\\{-1}&{0}&{0}\\\\{0}&{0}&{0}\\end{array}\\right),}\\\\{\\mathrm{Q}_{2}=\\left(\\begin{array}{lll}{0}&{0}&{-1}\\\\{0}&{0}&{0}\\\\{-1}&{0}&{0}\\end{array}\\right),\\ \\mathrm{Q}_{3}=\\left(\\begin{array}{lll}{1}&{0}&{0}\\\\{0}&{1}&{0}\\\\{0}&{0}&{-1}\\end{array}\\right),}\\\\{mbox{H}=\\left(\\begin{array}{lll}{1}&{0}&{0}\\\\{0}&{0}&{0}\\\\{0}&{0}&{0}\\end{array}\\right),}\\end{array}\\right\\}}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_39", "image_path": "OMathR/img/39_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "{\\begin{array}{rl}{(x+y)^{0}}&{=1,}\\\\{(x+y)^{1}}&{=x+y,}\\\\{(x+y)^{2}}&{=x^{2}+2xy+y^{2},}\\\\{(x+y)^{3}}&{=x^{3}+3x^{2}y+3xy^{2}+y^{3},}\\\\{(x+y)^{4}}&{=x^{4}+4x^{3}y+6x^{2}y^{2}+4xy^{3}+y^{4},}\\\\{(x+y)^{5}}&{=x^{5}+5x^{4}y+10x^{3}y^{2}+10x^{2}y^{3}+5xy^{4}+y^{5},}\\\\{(x+y)^{6}}&{=x^{6}+6x^{5}y+15x^{4}y^{2}+20x^{3}y^{3}+15x^{2}y^{4}+6xy^{5}+y^{6},}\\\\{(x+y)^{7}}&{=x^{7}+7x^{6}y+21x^{5}y^{2}+35x^{4}y^{3}+35x^{3}y^{4}+21x^{2}y^{5}+7xy^{6}+y^{7},}\\\\{(x+y)^{8}}&{=x^{8}+8x^{7}y+28x^{6}y^{2}+56x^{5}y^{3}+70x^{4}y^{4}+56x^{3}y^{5}+28x^{2}y^{6}+8xy^{7}+y^{8}.}\\end{array}}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_3", "image_path": "OMathR/img/3_oecd.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "U_{n(h c r), 1}=\\underbrace{\\alpha+A_{c}+A_r+f\\left(\\boldsymbol{x}_{nh} ; \\theta\\right)}_{Q_{n h c r}\\left(\\boldsymbol{x}_{n h} ; A_c, A_r, \\theta\\right)}+\\varepsilon_{n h c}=Q_{n h c r}\\left(\\boldsymbol{x}_{n h} ; A_c, A_r, \\theta\\right)+\\varepsilon_{n h c}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_40", "image_path": "OMathR/img/40_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{r}{\\boldsymbol{K}_{\\gamma_{x_{0}}}=\\left(\\begin{array}{lll}{0}&{0}&{0}\\\\{0}&{1}&{1}\\\\{0}&{0}&{0}\\end{array}\\right),\\boldsymbol{K}_{u_{x_{0}}}=\\left(\\begin{array}{lll}{0}&{0}&{0}\\\\{0}&{-\\left(\\frac{c_{0}\\Delta t}{\\Delta x}\\right)^{2}}&{\\left(\\frac{c_{0}\\Delta t}{\\Delta x}\\right)^{2}}\\\\{0}&{0}&{0}\\end{array}\\right),}\\\\{\\boldsymbol{K}_{\\gamma_{x_{1}}}=\\left(\\begin{array}{lll}{0}&{0}&{0}\\\\{1}&{1}&{0}\\\\{0}&{0}&{0}\\end{array}\\right),\\boldsymbol{K}_{u_{x_{1}}}=\\left(\\begin{array}{lll}{0}&{0}&{0}\\\\{-\\left(\\frac{c_{0}\\Delta t}{\\Delta x}\\right)^{2}}&{\\left(\\frac{c_{0}\\Delta t}{\\Delta x}\\right)^{2}}&{0}\\\\{0}&{0}&{0}\\end{array}\\right),}\\\\{\\boldsymbol{K}_{\\gamma_{y_{0}}}=\\left(\\begin{array}{lll}{0}&{0}&{0}\\\\{0}&{1}&{0}\\\\{0}&{1}&{0}\\end{array}\\right),\\boldsymbol{K}_{u_{y_{0}}}=\\left(\\begin{array}{lll}{0}&{0}&{0}\\\\{0}&{-\\left(\\frac{c_{0}\\Delta t}{\\Delta y}\\right)^{2}}&{0}\\\\{0}&{\\left(\\frac{c_{0}\\Delta t}{\\Delta y}\\right)^{2}}&{0}\\end{array}\\right),}\\\\{\\boldsymbol{K}_{\\gamma_{y_{1}}}=\\left(\\begin{array}{lll}{0}&{1}&{0}\\\\{0}&{1}&{0}\\\\{0}&{0}&{0}\\end{array}\\right),\\boldsymbol{K}_{u_{y_{1}}}=\\left(\\begin{array}{lll}{0}&{-\\left(\\frac{c_{0}\\Delta t}{\\Delta y}\\right)^{2}}&{0}\\\\{0}&{\\left(\\frac{c_{0}\\Delta t}{\\Delta y}\\right)^{2}}&{0}\\\\{0}&{0}&{0}\\end{array}\\right)}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_41", "image_path": "OMathR/img/41_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{l}{\\displaystyle\\Psi_{1}\\left(\\left.\\begin{array}{l}{1,\\beta}\\\\{2,1}\\end{array}\\right|t,-s\\right)\\,=\\,\\sum_{k=0}^{\\infty}\\,\\sum_{\\ell=0}^{\\infty}\\,\\frac{(1)_{k+\\ell}\\,(\\beta)_{k}}{(2)_{k}(1)_{\\ell}}\\,\\frac{t^{k}}{k!}\\,\\frac{(-s)^{l}}{\\ell!}\\,=\\,}\\\\{\\,=\\,\\displaystyle\\sum_{k=0}^{\\infty}\\,\\frac{(1)_{k}\\,(\\beta)_{k}}{(2)_{k}}\\,\\frac{t^{k}}{k!}\\sum_{\\ell=0}^{\\infty}\\,\\frac{(1+k)_{\\ell}}{(1)_{\\ell}}\\,\\,\\frac{(-s)^{l}}{\\ell!}\\,=\\,}\\\\{\\,=\\,\\displaystyle\\sum_{k=0}^{\\infty}\\,\\frac{(1)_{k}\\,(\\beta)_{k}}{(2)_{k}}\\,\\frac{t^{k}}{k!}_{1}F_{1}(1+k;1;-s)\\,=\\,}\\\\{\\,=\\,\\displaystyle\\exp(-s)\\,\\sum_{k=0}^{\\infty}\\,\\frac{(\\beta)_{k}}{(2)_{k}}\\,t^{k}L_{k}(s)\\,.}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_42", "image_path": "OMathR/img/42_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}{M_{xx}}&{=-D\\left({\\frac{\\partial^{2}w}{\\partial x^{2}}}+\\nu\\,{\\frac{\\partial^{2}w}{\\partial y^{2}}}\\right)}\\\\&{={\\frac{2M_{0}(1-\\nu)}{\\pi}}\\sum_{m=1}^{\\infty}{\\frac{1}{(2m-1)\\cosh\\alpha_{m}}}\\,\\times}\\\\&{~\\sin{\\frac{(2m-1)\\pi x}{a}}\\,\\times}\\\\&{~\\left[-{\\frac{(2m-1)\\pi y}{a}}\\sinh{\\frac{(2m-1)\\pi y}{a}}+\\right.}\\\\&{\\qquad\\qquad\\qquad\\qquad\\left.\\left\\{{\\frac{2\\nu}{1-\\nu}}+\\alpha_{m}\\operatorname{tanh}\\alpha_{m}\\right\\}\\cosh{\\frac{(2m-1)\\pi y}{a}}\\right]}\\\\{M_{xy}}&{=(1-\\nu)D{\\frac{\\partial^{2}w}{\\partial x\\partial y}}}\\\\&{=-{\\frac{2M_{0}(1-\\nu)}{\\pi}}\\sum_{m=1}^{\\infty}{\\frac{1}{(2m-1)\\cosh\\alpha_{m}}}\\,\\times}\\\\&{~\\cos{\\frac{(2m-1)\\pi x}{a}}\\,\\times}\\\\&{~\\left[{\\frac{(2m-1)\\pi y}{a}}\\cosh{\\frac{(2m-1)\\pi y}{a}}+\\right.}\\\\&{\\qquad\\qquad\\qquad\\qquad\\left.(1-\\alpha_{m}\\operatorname{tanh}\\alpha_{m})\\sinh{\\frac{(2m-1)\\pi y}{a}}\\right]}\\\\{Q_{zx}}&{={\\frac{\\partial M_{xx}}{\\partial x}}-{\\frac{\\partial M_{xy}}{\\partial y}}}\\\\&{={\\frac{4M_{0}}{a}}\\sum_{m=1}^{\\infty}{\\frac{1}{\\cosh\\alpha_{m}}}\\,\\times}\\\\&{~\\cos{\\frac{(2m-1)\\pi x}{a}}\\cosh{\\frac{(2m-1)\\pi y}{a}}\\,.}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_43", "image_path": "OMathR/img/43_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{r}{\\Phi_{\\mathcal C,f,\\sigma}(\\ell)=\\left[\\begin{array}{llllllllll}{1}&{0}&{1}&{0}&{0}&{0}&{v_{1}^{2}}&{v_{2}^{2}}&{v_{3}^{2}}&{v_{4}^{2}}\\\\{0}&{0}&{0}&{0}&{0}&{0}&{-l_{3,1}v_{1}}&{-l_{3,2}v_{2}}&{-l_{3,3}v_{3}}&{-l_{3,4}v_{4}}\\\\{0}&{0}&{0}&{0}&{0}&{0}&{l_{2,1}v_{1}}&{l_{2,2}v_{2}}&{l_{2,3}v_{3}}&{l_{2,4}v_{4}}\\\\{0}&{0}&{1}&{0}&{0}&{0}&{-v_{1}}&{-v_{2}}&{-v_{3}}&{-v_{4}}\\\\{0}&{0}&{0}&{1}&{0}&{1}&{l_{3,1}^{2}}&{l_{3,2}^{2}}&{l_{3,3}^{2}}&{l_{3,4}^{2}}\\\\{0}&{0}&{0}&{0}&{0}&{1}&{-l_{2,1}l_{3,1}}&{-l_{2,2}l_{3,2}}&{-l_{2,3}l_{3,3}}&{-l_{2,4}l_{3,4}}\\\\{0}&{0}&{0}&{0}&{0}&{0}&{l_{3,1}}&{l_{3,2}}&{l_{3,3}}&{l_{3,4}}\\\\{0}&{0}&{0}&{0}&{1}&{1}&{l_{2,1}^{2}}&{l_{2,2}^{2}}&{l_{2,3}^{2}}&{l_{2,4}^{2}}\\\\{0}&{0}&{0}&{0}&{0}&{0}&{-l_{2,1}}&{-l_{2,2}}&{-l_{2,3}}&{-l_{2,4}}\\\\{0}&{1}&{1}&{0}&{0}&{0}&{1}&{1}&{1}&{1}\\end{array}\\right].}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_44", "image_path": "OMathR/img/44_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}{0}&{\\geq\\left(A_{k+1}-A_{k}\\right)\\left[f\\left(x_{k+1}\\right)-f\\left(x^{*}\\right)+\\left\\langle\\nabla f\\left(x_{k+1}\\right),x^{*}-x_{k+1}\\right\\rangle+\\mu D_{h}\\left(x^{*},x_{k+1}\\right)\\right]}\\\\&{\\quad+A_{k}\\left[f\\left(x_{k+1}\\right)-f\\left(x_{k}\\right)+\\left\\langle\\nabla f\\left(x_{k+1}\\right),x_{k}-x_{k+1}\\right\\rangle\\right]}\\\\&{\\quad+A_{k+1}\\left[Ms^{\\frac{1}{p-1}}\\left\\Vert\\nabla f\\left(x_{k+1}\\right)\\right\\Vert^{\\frac{p}{p-1}}-\\left\\langle\\nabla f\\left(x_{k+1}\\right),y_{k}-x_{k+1}\\right\\rangle\\right]}\\\\&{\\quad+\\left(1+\\mu A_{k}\\right)\\left[h\\left(z_{k}\\right)-h\\left(z_{k+1}\\right)+\\left\\langle\\nabla h\\left(z_{k}\\right),z_{k+1}-z_{k}\\right\\rangle+\\frac{1}{p}\\left\\Vert z_{k+1}-z_{k}\\right\\Vert^{p}\\right]}\\\\&{\\geq\\mathcal{E}_{k+1}-\\mathcal{E}_{k}}\\\\&{\\quad-\\mu\\left(A_{k+1}-A_{k}\\right)D_{h}\\left(x^{*},x_{k+1}\\right)+\\mu\\left(A_{k+1}-A_{k}\\right)\\left\\langle\\nabla h\\left(z_{k+1}\\right)-\\nabla h\\left(x_{k+1}\\right),x^{*}-z_{k+1}\\right\\rangle}\\\\&{\\quad-\\left(A_{k+1}-A_{k}\\right)\\left(f\\left(x_{k+1}\\right)-f\\left(x^{*}\\right)\\right)-A_{k}\\left(f\\left(x_{k+1}\\right)-f\\left(x_{k}\\right)\\right)}\\\\&{\\quad-\\left(1+\\mu A_{k+1}\\right)\\left(-h\\left(z_{k+1}\\right)-\\left\\langle\\nabla h\\left(z_{k+1}\\right),x^{*}-z_{k+1}\\right\\rangle+h\\left(z_{k}\\right)+\\left\\langle\\nabla h\\left(z_{k}\\right),x^{*}-z_{k}\\right\\rangle\\right)}\\\\&{\\quad+\\left(A_{k+1}-A_{k}\\right)\\left[f\\left(x_{k+1}\\right)-f\\left(x^{*}\\right)+\\left\\langle\\nabla f\\left(x_{k+1}\\right),x^{*}-x_{k+1}\\right\\rangle+\\mu D_{h}\\left(x^{*},x_{k+1}\\right)\\right]}\\\\&{\\quad+A_{k}\\left[f\\left(x_{k+1}\\right)-f\\left(x_{k}\\right)+\\left\\langle\\nabla f\\left(x_{k+1}\\right),x_{k}-x_{k+1}\\right\\rangle\\right]}\\\\&{\\quad+A_{k+1}\\left[Ms^{\\frac{1}{p-1}}\\left\\Vert\\nabla f\\left(x_{k+1}\\right)\\right\\Vert^{\\frac{p}{p-1}}-\\left\\langle\\nabla f\\left(x_{k+1}\\right),y_{k}-x_{k+1}\\right\\rangle\\right]}\\\\&{\\quad+\\left(1+\\mu A_{k}\\right)\\left[h\\left(z_{k}\\right)-h\\left(z_{k+1}\\right)+\\left\\langle\\nabla h\\left(z_{k}\\right),z_{k+1}-z_{k}\\right\\rangle+\\frac{1}{p}\\left\\Vert z_{k+1}-z_{k}\\right\\Vert^{p}\\right]}\\\\&{=\\mathcal{E}_{k+1}-\\mathcal{E}_{k}}\\\\&{\\quad+\\left\\langle\\nabla f\\left(x_{k+1}\\right),\\left(A_{k+1}-A_{k}\\right)\\left(x^{*}-x_{k+1}\\right)+A_{k}\\left(x_{k}-x_{k+1}\\right)+A_{k+1}\\left(x_{k+1}-y_{k}\\right)\\right\\rangle}\\\\&{\\quad+\\left(1+\\mu A_{k}\\right)\\left\\langle\\nabla h\\left(z_{k+1}\\right)-\\nabla h\\left(z_{k}\\right),x^{*}-z_{k+1}\\right\\rangle+\\frac{1+\\mu A_{k}}{p}\\left\\Vert z_{k+1}-z_{k}\\right\\Vert^{p}}\\\\&{\\quad+\\mu\\left(A_{k+1}-A_{k}\\right)\\left\\langle\\nabla h\\left(z_{k+1}\\right)-\\nabla h\\left(x_{k+1}\\right),x^{*}-z_{k+1}\\right\\rangle+MA_{k+1}s^{\\frac{1}{p-1}}\\left\\Vert\\nabla f\\left(x_{k+1}\\right)\\right\\Vert^{\\frac{p}{p-1}}.}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_45", "image_path": "OMathR/img/45_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rl}&{\\tilde{v}_{7}^{-1}=\\left(\\begin{array}{lll}{1}&{0}&{0}\\\\{0}&{1}&{0}\\\\{0}&{-d_{2,1}^{-1}\\lambda_{2}^{2}\\big(\\frac{r_{1}(\\frac{1}{\\omega k})-r_{1}(k)r_{1}(\\omega^{2}k)}{1+r_{1}(k)r_{2}(k)}\\big)_{a}z_{2}^{-i(2\\nu_{5}-\\nu_{4})}z_{2,(0)}^{-i(2\\nu_{2}-\\nu_{4})}e^{\\frac{iz_{2}^{2}}{2}}}&{1}\\end{array}\\right),}\\\\&{\\tilde{v}_{9}=\\left(\\begin{array}{lll}{1}&{0}&{0}\\\\{0}&{1}&{d_{2,1}\\lambda_{2}^{-2}\\big(\\frac{r_{2}(\\frac{1}{\\omega k})-r_{2}(k)r_{2}(\\omega^{2}k)}{f(\\omega^{2}k)}\\big)_{a}z_{2}^{i(2\\nu_{5}-\\nu_{4})}z_{2,(0)}^{i(2\\nu_{2}-\\nu_{4})}e^{-\\frac{iz_{2}^{2}}{2}}}\\\\{0}&{0}&{1}\\end{array}\\right),}\\\\&{\\tilde{v}_{11}=\\left(\\begin{array}{lll}{1}&{0}&{0}\\\\{0}&{1}&{0}\\\\{0}&{d_{2,1}^{-1}\\lambda_{2}^{2}\\big(\\frac{r_{1}(\\frac{1}{\\omega k})-r_{1}(k)r_{1}(\\omega^{2}k)}{f(\\omega^{2}k)}\\big)_{a}z_{2}^{-i(2\\nu_{5}-\\nu_{4})}z_{2,(0)}^{-i(2\\nu_{2}-\\nu_{4})}e^{\\frac{iz_{2}^{2}}{2}}}&{1}\\end{array}\\right),}\\\\&{\\tilde{v}_{8}^{-1}=\\left(\\begin{array}{lll}{1}&{0}&{0}\\\\{0}&{1}&{-d_{2,1}\\lambda_{2}^{-2}\\big(\\frac{r_{2}(\\frac{1}{\\omega k})-r_{2}(k)r_{2}(\\omega^{2}k)}{1+r_{1}(k)r_{2}(k)}\\big)_{a}z_{2}^{i(2\\nu_{5}-\\nu_{4})}z_{2,(0)}^{i(2\\nu_{2}-\\nu_{4})}e^{-\\frac{iz_{2}^{2}}{2}}}\\\\{0}&{0}&{1}\\end{array}\\right).}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_46", "image_path": "OMathR/img/46_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\tau^{\\alpha}=\\left(\\begin{array}{llllll}{1}&{0}&{\\cdots}&{\\cdots}&{\\cdots}&{0}\\\\{\\binom{\\alpha}{1}}&{1}&{\\ddots}&&&{\\vdots}\\\\{\\binom{\\alpha}{2}}&{\\binom{\\alpha}{1}}&{\\ddots}&{\\ddots}&&{\\vdots}\\\\{\\binom{\\alpha}{3}}&{\\binom{\\alpha}{2}}&{\\ddots}&{1}&{\\ddots}&{\\vdots}\\\\{\\vdots}&{\\vdots}&{\\ddots}&{\\binom{\\alpha}{1}}&{1}&{0}\\\\{\\binom{\\alpha}{k}}&{\\binom{\\alpha}{k-1}}&{\\cdots}&{\\binom{\\alpha}{2}}&{\\binom{\\alpha}{1}}&{1}\\end{array}\\right).", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_47", "image_path": "OMathR/img/47_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rl}&{v_{4k-2,2k+1}^{k}\\otimes v_{3,1}}\\\\&{+v_{4k-1,2k+1}^{k}\\otimes v_{2,1}}\\\\&{+v_{4k,2k+1}^{k}\\otimes v_{1,1}}\\\\&{+v_{4k,2k}^{k}\\otimes v_{1,2}}\\\\&{+v_{4k,2k}\\otimes v_{1,2}}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_48", "image_path": "OMathR/img/48_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}{\\frac{\\mathrm{d}H_{p}}{\\mathrm{d}t}}&{=\\dot{q}_{\\mathrm{conv}}+\\dot{q}_{\\mathrm{rad}}+\\frac{\\mathrm{d}m_{p}}{\\mathrm{d}t}h_{\\mathrm{O2},s},}\\\\{\\dot{q}_{\\mathrm{conv}}}&{=A_{p}\\frac{\\mathrm{Nu}\\lambda_{f}}{d_{p}}\\,(T_{p}-T_{g})\\frac{\\mathrm{ln}(1+B_{t})}{B_{t}},}\\\\{\\dot{q}_{\\mathrm{rad}}}&{=\\epsilon\\sigma\\,A_{p}\\,(T_{p}^{4}-T_{g}^{4}),}\\\\{B_{t}}&{=\\frac{Y_{\\mathrm{O2},s}-Y_{\\mathrm{O2},g}}{1-Y_{\\mathrm{O2},s}},}\\\\{\\frac{\\mathrm{d}u_{p}}{\\mathrm{d}t}}&{=-\\frac{1}{2}C_{d}\\,\\varrho_{f}\\frac{\\pi d_{p}^{2}}{4}\\,|u_{g}-u_{p}|(u_{g}-u_{p}),}\\\\{C_{d}}&{=\\frac{24}{\\mathrm{Re}_{p}}\\,\\left(1+0.15\\mathrm{Re}_{p}^{0.687}\\right),}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_49", "image_path": "OMathR/img/49_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rl}{M_{\\ell_{1}}}&{=\\left[\\begin{array}{llll}{2_{2}2_{3}h}&{2_{1}2_{3}h}&{-2_{1}2_{2}h}&{-2}\\\\{2_{2}2_{3}h}&{-2_{1}2_{3}h}&{-2_{1}2_{2}h}&{2}\\\\{2_{2}2_{3}h}&{-2_{1}2_{3}h}&{2_{1}2_{2}h}&{-2}\\\\{2_{2}2_{3}h}&{2_{1}2_{3}h}&{2_{1}2_{2}h}&{2}\\end{array}\\right],}\\\\{M_{\\ell_{2}}}&{=\\left[\\begin{array}{llll}{22_{1}}&{22_{1}}&{22_{1}}&{22_{1}}\\\\{22_{2}}&{-22_{2}}&{-22_{2}}&{22_{2}}\\\\{-22_{3}}&{-22_{3}}&{22_{3}}&{22_{3}}\\\\{2_{1}2_{2}2_{3}h}&{-2_{1}2_{2}2_{3}h}&{2_{1}2_{2}2_{3}h}&{-2_{1}2_{2}2_{3}h}\\end{array}\\right].}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_4", "image_path": "OMathR/img/4_oecd.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "U_{n(h c), v}=\\underbrace{A_v+A_c+f\\left(\\boldsymbol{x}_{n h} ; \\boldsymbol{\\theta}\\right)}_{Q_{n h c v}\\left(\\boldsymbol{x}_{n h} ; A_c, A_v, \\boldsymbol{\\theta}\\right)}+\\varepsilon_{n h c}=Q_{n h c}\\left(\\boldsymbol{x}_{n h} ; A_c, A_v, \\boldsymbol{\\theta}\\right)+\\varepsilon_{n h c v}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_50", "image_path": "OMathR/img/50_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}&{\\operatorname{Pr}_{\\boldsymbol{\\varepsilon},\\boldsymbol{X},Y}\\left\\{\\left|\\boldsymbol{\\it Pa}(X)\\cdot\\boldsymbol{v}\\right|\\geq\\frac{1}{\\sqrt{4D^{2}-3}}\\right\\}}\\\\&{=\\sum_{x_{i_{3}},x_{i_{4}},\\ldots}\\operatorname{Pr}\\{X_{i_{1}}=1,X_{i_{2}}=1,X_{i_{3}}=x_{i_{3}},\\ldots\\}\\cdot\\mathbb{I}\\left\\{|(1,1,x_{i_{3}},x_{i_{4}},\\ldots)\\cdot(v_{1},v_{2},v_{3},\\ldots)|\\geq\\frac{1}{\\sqrt{4D^{2}-3}}\\right\\}}\\\\&{\\quad\\quad+\\sum_{x_{i_{3}},x_{i_{4}},\\ldots}\\operatorname{Pr}\\{X_{i_{1}}=1,X_{i_{2}}=0,X_{i_{3}}=x_{i_{3}},\\ldots\\}\\cdot\\mathbb{I}\\left\\{|(1,0,x_{i_{3}},x_{i_{4}},\\ldots)\\cdot(v_{1},v_{2},v_{3},\\ldots)|\\geq\\frac{1}{\\sqrt{4D^{2}-3}}\\right\\}}\\\\&{\\geq\\sum_{x_{i_{3}},x_{i_{4}},\\ldots}\\zeta\\operatorname{Pr}\\{X_{i_{1}}=1,X_{i_{3}}=x_{i_{3}},X_{i_{4}}=x_{i_{4}}\\ldots\\}\\cdot\\mathbb{I}\\left\\{|(1,1,x_{i_{3}},x_{i_{4}},\\ldots)\\cdot(v_{1},v_{2},v_{3},\\ldots)|\\geq\\frac{1}{\\sqrt{4D^{2}-3}}\\right\\}}\\\\&{\\quad\\quad+\\sum_{x_{i_{3}},x_{i_{4}},\\ldots}\\zeta\\operatorname{Pr}\\{X_{i_{1}}=1,X_{i_{3}}=x_{i_{3}},X_{i_{4}}=x_{i_{4}},\\ldots\\}\\cdot\\mathbb{I}\\left\\{|(1,0,x_{i_{3}},x_{i_{4}},\\ldots)\\cdot(v_{1},v_{2},v_{3},\\ldots)|\\geq\\frac{1}{\\sqrt{4D^{2}-3}}\\right\\}}\\\\&{=\\zeta\\cdot\\sum_{x_{i_{3}},x_{i_{4}},\\ldots}\\operatorname{Pr}\\{X_{i_{1}}=1,X_{i_{3}}=x_{i_{3}},X_{i_{4}}=x_{i_{4}},\\ldots\\}\\left(\\mathbb{I}\\left\\{|(1,1,x_{i_{3}},x_{i_{4}},\\ldots)\\cdot(v_{1},v_{2},v_{3},\\ldots)|\\geq\\frac{1}{\\sqrt{4D^{2}-3}}\\right\\}\\right.}\\\\&{\\quad\\quad\\left.+\\mathbb{I}\\left\\{|(1,0,x_{i_{3}},x_{i_{4}},\\ldots)\\cdot(v_{1},v_{2},v_{3},\\ldots)|\\geq\\frac{1}{\\sqrt{4D^{2}-3}}\\right\\}\\right)}\\\\&{\\geq\\zeta\\sum_{x_{i_{3}},x_{i_{4}},\\ldots}\\operatorname{Pr}\\{X_{i_{1}}=1,X_{i_{3}}=x_{i_{3}},X_{i_{4}}=x_{i_{4}},\\ldots\\}}\\\\&{=\\zeta,}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_51", "image_path": "OMathR/img/51_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rlr}{\\delta\\pi_{\\rho}^{xx}}&{=}&{-\\frac{\\alpha_{\\ast s}}{2qH}\\kappa\\left(\\kappa m_{o}\\right)^{2}\\rho^{3\\Gamma-2}}\\\\&{}&{\\left[\\frac{8}{3}+\\frac{4}{9}\\frac{\\rho^{1-\\Gamma}}{\\kappa m_{o}}\\frac{K_{3}\\left(\\frac{\\rho^{1-\\Gamma}}{\\kappa m_{o}}\\right)}{K_{2}\\left(\\frac{\\rho^{1-\\Gamma}}{\\kappa m_{o}}\\right)}\\right],}\\\\{\\delta\\pi_{\\rho}^{zz}}&{=}&{-\\frac{\\alpha_{\\ast s}}{2qH}\\kappa\\left(\\kappa m_{o}\\right)^{2}\\rho^{3\\Gamma-2}}\\\\&{}&{\\left[\\frac{4}{3}+\\frac{2}{9}\\frac{\\rho^{1-\\Gamma}}{\\kappa m_{o}}\\frac{K_{3}\\left(\\frac{\\rho^{1-\\Gamma}}{\\kappa m_{o}}\\right)}{K_{2}\\left(\\frac{\\rho^{1-\\Gamma}}{\\kappa m_{o}}\\right)}\\right],}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_52", "image_path": "OMathR/img/52_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}&{(p-1)\\mathcal{H}_{p}(W,X)+1}\\\\&{=\\int_{\\mathbb{R}}\\mathcal{P}_{{X}}({x})^{1-p}\\frac{1}{(2\\pi\\sigma^{2})^{\\frac{p}{2}}}e^{-\\frac{p{x}^{2}}{2\\left(\\sigma^{2}+p\\sigma_{W}^{2}\\right)}}\\left(1+p\\frac{\\sigma_{W}^{2}}{\\sigma^{2}}\\right)^{-\\frac{1}{2}}d{x}}\\\\&{=\\frac{\\left(1+\\frac{\\sigma_{W}^{2}}{\\sigma^{2}}\\right)^{\\frac{d(p-1)}{2}}}{(2\\pi\\sigma^{2})^{\\frac{1}{2}}\\left(1+p\\frac{\\sigma_{W}^{2}}{\\sigma^{2}}\\right)^{\\frac{1}{2}}}\\int_{\\mathbb{R}}e^{\\frac{(p-1){x}^{2}}{2\\left(\\sigma^{2}+\\sigma_{W}^{2}\\right)}-\\frac{p{x}^{2}}{2\\left(\\sigma^{2}+p\\sigma_{W}^{2}\\right)}}d{x}}\\\\&{=\\frac{\\left(1+\\frac{\\sigma_{W}^{2}}{\\sigma^{2}}\\right)^{\\frac{(p-1)}{2}}}{(2\\pi\\sigma^{2})^{\\frac{1}{2}}\\left(1+p\\frac{\\sigma_{W}^{2}}{\\sigma^{2}}\\right)^{\\frac{1}{2}}}\\int_{\\mathbb{R}}e^{-\\frac{{x}^{2}}{2}\\left(\\frac{1-p}{\\sigma^{2}+\\sigma_{W}^{2}}+\\frac{p}{\\sigma^{2}+p\\sigma_{W}^{2}}\\right)}d{x}}\\\\&{=\\frac{\\left(1+\\frac{\\sigma_{W}^{2}}{\\sigma^{2}}\\right)^{\\frac{(p-1)}{2}}}{(2\\pi\\sigma^{2})^{\\frac{1}{2}}\\left(1+p\\frac{\\sigma_{W}^{2}}{\\sigma^{2}}\\right)^{\\frac{1}{2}}}\\left(\\frac{2\\pi}{\\frac{1-p}{\\sigma^{2}+\\sigma_{W}^{2}}+\\frac{p}{\\sigma^{2}+p\\sigma_{W}^{2}}}\\right)^{\\frac{1}{2}}}\\\\&{=\\frac{\\left(1+\\frac{\\sigma_{W}^{2}}{\\sigma^{2}}\\right)^{\\frac{(p-1)}{2}}}{\\left(\\sigma^{2}+p\\sigma_{W}^{2}\\right)^{\\frac{1}{2}}}\\left(\\frac{1}{\\frac{1-p}{\\sigma^{2}+\\sigma_{W}^{2}}+\\frac{p}{\\sigma^{2}+p\\sigma_{W}^{2}}}\\right)^{\\frac{1}{2}}}\\\\&{=\\left(\\frac{\\left(1+\\frac{\\sigma_{W}^{2}}{\\sigma^{2}}\\right)^{p-1}}{\\frac{(1-p)\\left(\\sigma^{2}+p\\sigma_{W}^{2}\\right)}{\\sigma^{2}+\\sigma_{W}^{2}}+p}\\right)^{\\frac{1}{2}}}\\\\&{=\\left(\\frac{\\left(1+\\frac{\\sigma_{W}^{2}}{\\sigma^{2}}\\right)^{p}}{1+(2-p)p\\frac{\\sigma_{W}^{2}}{\\sigma^{2}}}\\right)^{\\frac{1}{2}}.}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_53", "image_path": "OMathR/img/53_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rl}{A^{\\prime}(\\omega_{a})}&{\\equiv\\frac{t\\left(1+r\\right)\\cos\\left(\\frac{\\omega_{a}L}{2c}\\right)}{1+2r\\cos(\\frac{\\omega_{a}L}{c})+r^{2}}\\,,}\\\\{B^{\\prime}(\\omega_{a})}&{\\equiv\\frac{t\\left(1-r\\right)\\sin\\left(\\frac{\\omega_{a}L}{2c}\\right)}{1+2r\\cos(\\frac{\\omega_{a}L}{c})+r^{2}}\\,,}\\\\{C^{\\prime}(\\omega)}&{\\equiv1+\\frac{2(1+r)\\cos(\\frac{\\omega L}{2c})}{1+2r\\cos(\\frac{\\omega L}{c})+r^{2}}\\,,}\\\\{D^{\\prime}(\\omega)}&{\\equiv\\frac{2(1-r)\\sin(\\frac{\\omega L}{2c})}{1+2r\\cos(\\frac{\\omega L}{c})+r^{2}}\\,,}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_54", "image_path": "OMathR/img/54_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}{\\operatorname{min}\\ c^{T}x}&{+\\frac{1}{2}x^{T}Qx}\\\\{\\mathrm{s.t.}\\ \\left[\\begin{array}{lll}{I}&{0}&{A}\\\\{0}&{I}&{-A}\\end{array}\\right]}&{\\left[\\begin{array}{l}{x^{\\prime}}\\\\{x^{\\prime\\prime}}\\\\{x}\\end{array}\\right]=\\left[\\begin{array}{l}{b}\\\\{-b}\\end{array}\\right]}\\\\{x\\geq0,\\ x^{\\prime}}&{\\geq0,x^{\\prime\\prime}\\geq0.}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_55", "image_path": "OMathR/img/55_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rlr}{\\mathcal{P}_{x}^{\\mathrm{LR}}}&{=}&{U_{\\mathrm{HV}}^{-1}\\mathcal{P}_{x}^{\\mathrm{HV}}U_{\\mathrm{HV}}}\\\\&{=}&{\\frac{\\mathrm{e}^{i\\overline{{k}}d}}{2}\\left(\\begin{array}{cc}{1}&{-i}\\\\{1}&{i}\\end{array}\\right)\\left(\\begin{array}{cc}{1}&{0}\\\\{0}&{0}\\end{array}\\right)\\left(\\begin{array}{cc}{1}&{1}\\\\{i}&{-i}\\end{array}\\right)}\\\\&{=}&{\\frac{\\mathrm{e}^{i\\overline{{k}}d}}{2}\\left(\\begin{array}{cc}{1}&{1}\\\\{1}&{1}\\end{array}\\right)}\\\\&{=}&{\\frac{\\mathrm{e}^{i\\overline{{k}}d}}{2}({\\bf1}+\\sigma_{x}),}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_56", "image_path": "OMathR/img/56_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}{p_{\\mathrm{o}}(v)\\approx}&{\\frac{v^{n\\,m}}{f^{\\ast\\,m}\\,v^{\\ast\\,n\\,m}\\,2^{m}\\,\\tilde{v}^{\\frac{mn}{2}}+v^{n\\,m}}}\\\\{=}&{\\frac{v^{n\\,m}}{f^{\\ast\\,m}\\,2^{m}\\,v^{\\ast\\,\\frac{nm}{2}}\\,v^{\\frac{mn}{2}}+v^{n\\,m}}}\\\\{=}&{\\frac{v^{\\frac{nm}{2}}}{f^{\\ast\\,m}\\,2^{m}\\,v^{\\ast\\,\\frac{nm}{2}}+v^{\\frac{nm}{2}}}}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_57", "image_path": "OMathR/img/57_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rl}&{\\frac{\\zeta({\\mathbf{C}})}{\\Delta^{2}}+\\frac{\\zeta({\\mathbf{C}})\\gamma\\widetilde{\\gamma}}{\\Delta^{3}}=\\frac{\\zeta({\\mathbf{C}})}{\\Delta^{3}}}\\\\&{\\frac{\\zeta\\gamma({\\mathbf{C}})\\widetilde{\\gamma}}{\\Delta^{3}}+\\frac{\\zeta\\gamma\\widetilde{\\gamma}^{2}\\gamma({\\mathbf{C}})}{\\Delta^{4}}=\\frac{\\zeta\\widetilde{\\gamma}\\gamma({\\mathbf{C}})}{\\Delta^{4}}}\\\\&{\\frac{2\\eta({\\mathbf{C}})\\eta\\widetilde{\\gamma}}{\\Delta^{3}}+\\frac{2\\widetilde{\\gamma}^{2}\\gamma\\eta\\eta({\\mathbf{C}})}{\\Delta^{4}}=\\frac{2\\eta({\\mathbf{C}})\\eta\\widetilde{\\gamma}}{\\Delta^{4}}}\\\\&{\\frac{(-2\\eta\\widetilde{\\eta}\\gamma-\\eta\\widetilde{\\eta}\\widetilde{\\gamma}\\gamma^{2})\\Delta-3\\eta\\widetilde{\\eta}\\gamma^{2}\\widetilde{\\gamma}-\\eta\\widetilde{\\eta}\\gamma^{3}\\widetilde{\\gamma}^{2}}{\\Delta^{5}}=\\frac{-2\\eta\\widetilde{\\eta}\\gamma(1+\\gamma\\widetilde{\\gamma})}{\\Delta^{5}}}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_58", "image_path": "OMathR/img/58_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "AR^{T}=\\left[\\begin{array}{llll}{\\vert}&{\\vert}&&{\\vert}\\\\{A_{:1}}&{A_{:2}}&{\\dots}&{A_{:n}}\\\\{\\vert}&{\\vert}&&{\\vert}\\end{array}\\right]\\left[\\begin{array}{lll}{\\rule{2.5ex}{0.5pt}}&{R_{1:}}&{\\rule{2.5ex}{0.5pt}}\\\\{\\rule{2.5ex}{0.5pt}}&{R_{2:}}&{\\rule{2.5ex}{0.5pt}}\\\\&{\\vdots}&\\\\{\\rule{2.5ex}{0.5pt}}&{R_{n:}}&{\\rule{2.5ex}{0.5pt}}\\end{array}\\right]=\\sum_{i=1}^{n}A_{:i}R_{i:}.", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_59", "image_path": "OMathR/img/59_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\left[\\begin{array}{l}{x_{0}}\\\\{x_{1}}\\\\{x_{2}}\\\\{\\vdots}\\\\{x_{N}}\\end{array}\\right]\\mapsto\\left[\\begin{array}{l}{\\sum_{i=0}^{N}a_{0i}x_{i}^{q}+g_{0}(x_{0}^{p},x_{1}^{p},x_{2}^{p},\\cdots,x_{N}^{p})}\\\\{\\sum_{i=0}^{N}a_{1i}x_{i}^{q}+g_{1}(x_{0},x_{1}^{p},x_{2}^{p},\\cdots,x_{N}^{p})}\\\\{\\sum_{i=0}^{N}a_{2i}x_{i}^{q}+g_{2}(x_{0},x_{1},x_{2}^{p},\\cdots,x_{N}^{p})}\\\\{\\vdots}\\\\{\\sum_{i=0}^{N}a_{Ni}x_{i}^{q}+g_{N}(x_{0},\\cdots,x_{N-1},x_{N}^{p})}\\end{array}\\right]", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_5", "image_path": "OMathR/img/5_oecd.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{aligned}& S_{n c i}=\\underbrace{\\sum_c\\left(\\mathrm{~A}_{i, c} D_{n c}\\right)}_{\\text {country effects }}+\\underbrace{\\sum_{\\mathrm{a}}\\left(\\mathrm{~A}_{i, \\mathrm{a}} D_{n \\mathrm{a}}\\right)}_{\\text {age effects }}+\\underbrace{\\sum_{\\mathrm{s}}\\left(\\mathrm{~A}_{i, s} D_{n \\mathrm{~s}}\\right)}_{\\begin{array}{c}\\text { settlement type } \\\\\\text { effects }\\end{array}}+\\underbrace{\\mathrm{A}_{i, \\mathrm{H}} D_{n \\mathrm{H}}}_{\\begin{array}{c}\\text { single family } \\\\\\text { house effect }\\end{array}}+\\underbrace{\\mathrm{A}_{i, \\mathrm{~F}} D_{n\\mathrm{~F}}}_{\\begin{array}{c}\\text { sex effects } \\\\\\text { (female) }\\end{array}}+\\underbrace{\\mathrm{A}_{i, \\mathrm{C}} D_{n \\mathrm{C}}}_{\\begin{array}{c}\\text { effect from } \\\\\\text { car access }\\end{array}}+\\underbrace{\\mathrm{A}_{i, \\mathrm{C}} D_{n \\mathrm{C}}}_{\\begin{array}{c}\\text { effect from } \\\\\\text { car access }\\end{array}}+\\underbrace{\\mathrm{A}_{i, \\mathrm{~L}} D_{n \\mathrm{~L}}}_{\\begin{array}{c}\\text { intension } \\\\\\text { to lease }\\end{array}} \\\\& +\\underbrace{\\mathrm{A}_{i, \\mathrm{~W}} D_{n \\mathrm{~W}}}_{\\begin{array}{c}\\text { charge at } \\\\\\text { work effect }\\end{array}}+\\underbrace{\\sum_c\\left(\\mathrm{~A}_{i, \\mathrm{~W}, c} D_{n \\mathrm{~W}} D_{n c}\\right)}_{\\begin{array}{c}\\text { charge at work effect } \\\\\\text { (country-specific deviation) }\\end{array}}+\\underbrace{\\mathrm{A}_{i, \\mathrm{P}} D_{n \\mathrm{P}}}_{\\begin{array}{c}\\text { charge at } \\\\\\text { public effect }\\end{array}}+\\underbrace{\\sum_c\\left(\\mathrm{~A}_{i, \\mathrm{~W}, c} D_{n \\mathrm{~W}} D_{n c}\\right)}_{\\begin{array}{c}\\text { charge at work effect } \\\\\\text { (country-specific deviation) }\\end{array}}+\\underbrace{\\sum_l\\left(\\mathrm{~A}_{i, l} D_{n l}\\right)}_{\\text {LDT effects }}\\end{aligned}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_60", "image_path": "OMathR/img/60_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}{pG_{0}^{\\prime}}&{=-\\nu(1+\\ell^{2})k^{2}G_{0}^{\\prime}+{k}(1-3\\ell^{2})G_{-}+[2\\ell^{\\prime}-4k^{2}\\ell^{\\prime}(1-\\ell^{2})]G_{+}}\\\\&{+ikB_{0}\\ell^{\\prime}(1+\\ell^{2})H_{0}+i\\tilde{B}_{0}2\\ell^{\\prime}H_{-}+ik\\tilde{B}_{0}(1+\\ell^{2})H_{+}}\\\\{pH_{0}}&{=-\\eta(1+\\ell^{2})k^{2}H_{0}+kH_{-}+ikB_{0}\\frac{\\ell^{\\prime}}{1+\\ell^{2}}\\,G_{0}-ik^{2}\\tilde{B}_{0}2\\ell^{\\prime}G_{-}+ik\\tilde{B}_{0}G_{+}}\\\\{pG_{+}}&{=-\\nu(1+k^{2}(1+\\ell^{2}))G_{+}-2k\\ell^{\\prime}\\nu G_{-}}\\\\&{+iB_{0}(1+k^{2}(1+3\\ell^{2}))H_{-}+ikB_{0}3\\ell^{\\prime}H_{+}-\\frac{1}{2}{ik\\tilde{B}_{0}}H_{0}}\\\\{pG_{-}}&{=-\\nu(1+k^{2}(1+\\ell^{2}))G_{-}-2k\\ell^{\\prime}\\nu G_{+}+\\frac{1}{2}k\\frac{1}{1+\\ell^{2}}\\,G_{0}^{\\prime}}\\\\&{+iB_{0}(1+k^{2}(1+3\\ell^{2}))H_{+}+ikB_{0}3\\ell^{\\prime}H_{-}}\\\\{pH_{+}}&{=-\\eta(1+k^{2}(1+\\ell^{2}))H_{+}-2k\\ell^{\\prime}\\eta H_{-}}\\\\&{+iB_{0}(1+k^{2}(-1+\\ell^{2}))G_{-}-ikB_{0}\\ell^{\\prime}G_{+}+\\frac{1}{2}ik\\tilde{B}_{0}\\frac{1}{1+\\ell^{2}}\\,G_{0}^{\\prime}}\\\\{pH_{-}}&{=-\\eta(1+k^{2}(1+\\ell^{2}))H_{-}-2k\\ell^{\\prime}\\eta H_{+}-\\frac{1}{2}kH_{0}}\\\\&{+iB_{0}(1+k^{2}(-1+\\ell^{2}))G_{+}-ikB_{0}\\ell^{\\prime}G_{-}}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_61", "image_path": "OMathR/img/61_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\left[\\begin{array}{cccccccccc}{1_{n}}&{v_{1,2}}&{\\ast}&{\\ast}&{0}&{\\ast}&{0}&{0}&{0}&{0}\\\\{0}&{\\ddots}&{\\ddots}&{\\ast}&{0}&{\\ast}&{0}&{0}&{0}&{0}\\\\{0}&{0}&{1_{n}}&{v_{k-2,k-1}}&{0}&{\\ast}&{0}&{0}&{0}&{0}\\\\{0}&{0}&{0}&{1_{n}}&{0}&{y}&{0}&{0}&{0}&{0}\\\\{0}&{0}&{0}&{0}&{1_{n}}&{0}&{y^{\\ast}}&{\\ast}&{\\ast}&{\\ast}\\\\{0}&{0}&{0}&{0}&{0}&{1_{n}}&{0}&{0}&{0}&{0}\\\\{0}&{0}&{0}&{0}&{0}&{0}&{1_{n}}&{-v_{k-2,k-1}^{\\ast}}&{\\ast}&{\\ast}\\\\{0}&{0}&{0}&{0}&{0}&{0}&{0}&{1_{n}}&{\\ddots}&{\\ast}\\\\{0}&{0}&{0}&{0}&{0}&{0}&{0}&{0}&{\\ddots}&{-v_{1,2}^{\\ast}}\\\\{0}&{0}&{0}&{0}&{0}&{0}&{0}&{0}&{0}&{1_{n}}\\end{array}\\right].", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_62", "image_path": "OMathR/img/62_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rlr}&{}&{u_{i}\\rightharpoonup u\\mathrm{~weakly-*~in~}L^{\\infty}(0,T;H^{1}(\\Omega)),}\\\\&{}&{\\mu_{i}\\rightharpoonup\\mu\\mathrm{~weakly~in~}L^{2}(\\Omega_{T}),}\\\\&{}&{\\sqrt{M_{i}(u_{i})}\\nabla\\frac{\\mu_{i}}{g_{i}(u_{i})}\\rightharpoonup\\xi\\mathrm{~weakly~in~}L^{2}(\\Omega_{T}),}\\\\&{}&{G_{i}(u_{i})\\rightharpoonup\\eta\\mathrm{~weakly-*~in~}L^{\\infty}(0,T;W^{1,s}(\\Omega))}\\\\&{}&{G_{i}(u_{i})\\rightarrow\\eta\\mathrm{~strongly~in~}L^{\\alpha}(0,T;L^{\\beta}(\\Omega))\\mathrm{~and~a.e.~in~}\\Omega_{T},}\\\\&{}&{G_{i}(u_{i})\\rightarrow\\eta\\mathrm{~strongly~in~}C(0,T;L^{\\beta}(\\Omega)),}\\\\&{}&{\\partial_{t}G_{i}(u_{i})\\rightharpoonup\\partial_{t}\\eta\\mathrm{~weakly~in~}L^{p^{\\prime}}(0,T;(W^{1,q}\\Omega))^{\\prime}).}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_63", "image_path": "OMathR/img/63_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rl}{\\left\\langle h_{kin}\\right\\rangle=}&{\\left\\langle u_{i}(\\mathbf{x},t)w_{i}(\\mathbf{x},t)\\right\\rangle}\\\\{=}&{\\,\\,\\mathrm{i}\\epsilon_{ijk}\\int\\mathrm{d}^{4}q\\int\\mathrm{d}^{4}q^{\\prime}k_{j}^{\\prime}\\mathfrak{G}_{in}\\left(\\mathbf{q}\\right)\\mathfrak{G}_{km}\\left(\\mathbf{q}^{\\prime}\\right)\\left\\langle\\hat{f}_{n}(\\mathbf{q})\\hat{f}_{m}(\\mathbf{q}^{\\prime})\\right\\rangle\\mathrm{e}^{\\mathrm{i}\\left[\\left(\\mathbf{k}+\\mathbf{k}^{\\prime}\\right)\\cdot\\mathbf{x}-\\left(\\omega+\\omega^{\\prime}\\right)t\\right]}}\\\\{=}&{-\\mathrm{i}\\epsilon_{ijk}\\int\\mathrm{d}^{4}qk_{j}\\mathfrak{G}_{in}\\left(\\mathbf{q}\\right)\\mathfrak{G}_{km}\\left(-\\mathbf{q}\\right)\\left[\\frac{D_{0}}{k^{3}}P_{nm}(\\mathbf{k})+\\mathrm{i}\\frac{D_{1}}{k^{5}}\\epsilon_{nmp}k_{p}\\right]}\\\\{=}&{-\\int\\frac{\\mathrm{d}k}{k}\\int_{-\\infty}^{\\infty}\\mathrm{d}\\omega\\int_{0}^{2\\pi}\\mathrm{d}\\varphi\\int_{-1}^{1}\\mathrm{d}X\\frac{2D_{1}\\left(\\omega^{2}+\\nu^{2}k^{4}+4\\Omega^{2}X^{2}\\right)}{\\left(\\omega^{2}+\\nu^{2}k^{4}\\right)^{2}-8\\Omega^{2}X^{2}\\left(\\omega^{2}-\\nu^{2}k^{4}\\right)+16\\Omega^{4}X^{4}}}\\\\{=}&{-4\\pi D_{1}\\mathcal{I}_{u^{2}}\\left(\\nu,\\Omega,k_{\\ell}\\right)}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_64", "image_path": "OMathR/img/64_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}{d_{\\operatorname{min}}}&{\\left(h_{1}\\eta_{1}\\sqrt{P_{1}+P_{2,1}}\\Lambda_{1}\\right)}\\\\{=}&{\\sqrt{\\frac{6(P_{1}+P_{2,1})|h_{1}|^{2}}{2^{m_{1}+m_{2,1}}-1}}\\overset{\\geq}1,}\\\\{d_{\\operatorname{min}}}&{\\left(h_{2}\\eta_{1}\\sqrt{2^{m_{1}}(P_{1}+P_{2,1})}\\Lambda_{2,1}\\right)}\\\\{=}&{\\sqrt{\\frac{6(P_{1}+P_{2,1})|h_{2}|^{2}\\cdot2^{m_{1}}}{2^{m_{1}+m_{2,1}}-1}}\\overset{\\geq}1.}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_65", "image_path": "OMathR/img/65_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rlr}{\\frac{\\partial Q_{11}}{\\partial t}}&{=}&{\\xi_{1}\\left[\\pm Q_{11}-(Q_{11}^{2}+Q_{12}^{2})Q_{11}+\\nabla^{2}Q_{11}\\right]+c_{0}(P_{1}^{2}-P_{2}^{2}),}\\\\{\\frac{\\partial Q_{12}}{\\partial t}}&{=}&{\\xi_{1}\\left[\\pm Q_{12}-(Q_{11}^{2}+Q_{12}^{2})Q_{12}+\\nabla^{2}Q_{12}\\right]+2c_{0}P_{1}P_{2},}\\\\{\\frac{1}{\\Gamma}\\frac{\\partial P_{1}}{\\partial t}}&{=}&{\\xi_{2}\\bigg[\\left(\\frac{\\rho}{\\rho_{c}}-1-{\\bf P}\\cdot{\\bf P}\\right)P_{1}-\\frac{v_{1}^{\\prime}}{2\\rho_{0}}\\nabla_{x}\\rho+\\lambda_{1}^{\\prime}({\\bf P}\\cdot\\nabla)P_{1}+\\lambda_{2}^{\\prime}\\nabla_{x}(|{\\bf P}|^{2})}\\\\&{}&{+\\lambda_{3}^{\\prime}P_{1}(\\nabla\\cdot{\\bf P})+\\kappa^{\\prime}\\nabla^{2}P_{1}\\bigg]+c_{0}(Q_{11}P_{1}+Q_{12}P_{2}),}\\\\{\\frac{1}{\\Gamma}\\frac{\\partial P_{2}}{\\partial t}}&{=}&{\\xi_{2}\\bigg[\\left(\\frac{\\rho}{\\rho_{c}}-1-{\\bf P}\\cdot{\\bf P}\\right)P_{2}-\\frac{v_{1}^{\\prime}}{2\\rho_{0}}\\nabla_{y}\\rho+\\lambda_{1}^{\\prime}({\\bf P}\\cdot\\nabla)P_{2}+\\lambda_{2}^{\\prime}\\nabla_{y}(|{\\bf P}|^{2})}\\\\&{}&{+\\lambda_{3}^{\\prime}P_{2}(\\nabla\\cdot{\\bf P})+\\kappa^{\\prime}\\nabla^{2}P_{2}\\bigg]+c_{0}(Q_{12}P_{1}-Q_{11}P_{2}),}\\\\{\\frac{1}{\\Gamma^{\\prime}}\\frac{\\partial\\rho}{\\partial t}}&{=}&{-v_{0}^{\\prime}\\nabla\\cdot({\\bf P}\\rho)+D_{\\rho}^{\\prime}\\nabla^{2}\\rho.}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_66", "image_path": "OMathR/img/66_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rlr}{T_{3}}&{=}&{\\mathbb{E}\\left[\\left|\\frac{\\eta_{k-1}^{N_{l},l}(g_{k-1}[P^{l}-P](\\varphi))}{\\eta_{k-1}^{N_{l},l}(g_{k-1})}-\\frac{\\eta_{k-1}^{l}(g_{k-1}[P^{l}-P](\\varphi))}{\\eta_{k-1}^{l}(g_{k-1})}\\right|^{p}\\right]^{1/p}}\\\\{T_{4}}&{=}&{\\mathbb{E}\\left[\\left|\\frac{\\eta_{k-1}^{N_{l},l-1}(g_{k-1}[P^{l-1}-P](\\varphi))}{\\eta_{k-1}^{N_{l},l-1}(g_{k-1})}-\\frac{\\eta_{k-1}^{l-1}(g_{k-1}[P^{l-1}-P](\\varphi))}{\\eta_{k-1}^{l-1}(g_{k-1})}\\right|^{p}\\right]^{1/p}}\\\\{T_{5}}&{=}&{\\mathbb{E}\\Bigg[\\Bigg|\\left\\{\\frac{\\eta_{k-1}^{N_{l},l}(g_{k-1}P(\\varphi))}{\\eta_{k-1}^{N_{l},l}(g_{k-1})}-\\frac{\\eta_{k-1}^{N_{l},l-1}(g_{k-1}P(\\varphi))}{\\eta_{k-1}^{N_{l},l-1}(g_{k-1})}\\right\\}-}\\\\&{}&{\\left\\{\\frac{\\eta_{k-1}^{l}(g_{k-1}P(\\varphi))}{\\eta_{k-1}^{l}(g_{k-1})}-\\frac{\\eta_{k-1}^{l-1}(g_{k-1}P(\\varphi))}{\\eta_{k-1}^{l-1}(g_{k-1})}\\right\\}\\Bigg|^{p}\\Bigg]^{1/p}.}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_67", "image_path": "OMathR/img/67_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rl}&{E[H(\\tilde{X}+\\Delta X)]}\\\\{=}&{\\int\\sum_{n}^{N}\\sigma_{n}\\phi_{n}\\cdot\\sum_{m}x_{m}\\left(\\phi_{m}+\\Delta\\phi_{m}\\right)dt}\\\\{=}&{\\sum_{n}^{\\infty}\\int\\sigma_{n}\\phi_{n}x_{n}\\left(\\phi_{n}+\\Delta\\phi_{n}\\right)+\\sum_{m\\neq n}^{\\infty}\\sigma_{n}\\phi_{n}x_{m}\\left(\\phi_{n}+\\Delta\\phi_{m}\\right)dt}\\\\{=}&{\\sum_{n}^{\\infty}\\int\\sigma_{n}x_{n}\\phi_{n}\\phi_{n}dt+\\sum_{m}^{N}\\sigma_{n}x_{n}\\phi_{n}\\Delta\\phi_{m}dt+\\sum_{n^{\\prime}\\neq n}^{N}\\sigma_{n}x_{m}\\phi_{n}\\phi_{n^{\\prime}}dt}\\\\{=}&{\\sum_{n}^{N}\\left[\\sigma_{n}x_{n}+\\sum_{m}^{N}\\frac{\\sigma_{n}x_{m}\\left\\langle\\phi_{n},\\Delta\\phi_{m}\\right\\rangle}{x_{n}}\\cdot x_{n}\\right]}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_68", "image_path": "OMathR/img/68_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}{\\alpha^{(m)}(e_{n_{0}})}&{=\\alpha_{n_{0}}^{(m)}}\\\\&{:=\\left\\lfloor\\frac{n_{0}\\mod2m}{m}\\right\\rfloor}\\\\&{:=\\left\\lfloor\\frac{\\sum_{k\\in N}2^{k}\\mod2m}{m}\\right\\rfloor}\\\\&{=\\left\\{\\begin{array}{ll}{1}&{m\\in{\\mathbb N}}\\\\{0}&{\\mathrm{else}}\\end{array}\\right..}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_69", "image_path": "OMathR/img/69_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "{\\frac{1}{2}}{\\left[\\begin{array}{l}{{\\begin{array}{rrrr}{1}&{1}&{1}&{1}\\\\{1}&{-1}&{1}&{-1}\\\\{1}&{1}&{-1}&{-1}\\\\{1}&{-1}&{-1}&{1}\\end{array}}}\\end{array}\\right]}.{\\left[\\begin{array}{llll}{1}&{0}&{0}&{0}\\\\{0}&{1}&{0}&{0}\\\\{0}&{0}&{0}&{1}\\\\{0}&{0}&{1}&{0}\\end{array}\\right]}.{\\frac{1}{2}}{\\left[\\begin{array}{l}{{\\begin{array}{rrrr}{1}&{1}&{1}&{1}\\\\{1}&{-1}&{1}&{-1}\\\\{1}&{1}&{-1}&{-1}\\\\{1}&{-1}&{-1}&{1}\\end{array}}}\\end{array}\\right]}={\\left[\\begin{array}{llll}{1}&{0}&{0}&{0}\\\\{0}&{0}&{0}&{1}\\\\{0}&{0}&{1}&{0}\\\\{0}&{1}&{0}&{0}\\end{array}\\right]}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_6", "image_path": "OMathR/img/6_iea.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\% T F E C_{R E S}=\\frac{T F E C_{R E S}+\\left(T F E C_{E L E} \\times \\frac{E L E_{R E S}}{E L E_{T O T A L}}\\right)+\\left(T F E C_{H E A T} \\times \\frac{H E A T_{R E S}}{H E A T_{T O T A L}}\\right)}{T F E C_{T O T A L}}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_70", "image_path": "OMathR/img/70_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}{{\\sf D}=\\left[\\begin{array}{cccc}{\\mathbf{1}_{2}}&&&\\\\&{\\mathbf{1}_{2}}&&\\\\&&{\\mathbf{1}_{2}}&\\\\&&&{\\mathbf{1}_{2}}\\end{array}\\right],\\ \\ {\\sf P}}&{=i\\left[\\begin{array}{cccc}{\\mathbf{0}_{2}}&&&\\\\&{\\sigma_{z}}&&\\\\&&{\\sigma_{z}}&\\\\&&&{\\mathbf{0}_{2}}\\end{array}\\right],}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_71", "image_path": "OMathR/img/71_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rl}&{\\operatorname{sup}_{\\Delta\\in(0,\\infty)}\\left\\{e\\Delta\\left(1-\\mathbb{P}_{Q_{\\Delta}}\\left(\\widehat{a}_{T}=1\\right)\\right)+(1-e)\\Delta\\left(1-\\mathbb{P}_{Q_{\\Delta}}\\left(\\widehat{a}_{T}=2\\right)\\right)+O(\\Delta^{2})\\right\\}}\\\\&{=\\operatorname{sup}_{\\Delta\\in(0,\\infty)}\\Big\\{e\\Delta\\left(1-\\mathbb{P}_{P^{\\sharp\\sharp}}\\left(\\widehat{a}_{T}=1\\right)+\\mathbb{P}_{P^{\\sharp\\sharp}}\\left(\\widehat{a}_{T}=1\\right)-\\mathbb{P}_{Q_{\\Delta}}\\left(\\widehat{a}_{T}=1\\right)\\right)}\\\\&{\\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ +(1-e)\\Delta\\left(1-\\mathbb{P}_{P^{\\sharp\\sharp}}\\left(\\widehat{a}_{T}=2\\right)+\\mathbb{P}_{P^{\\sharp\\sharp}}\\left(\\widehat{a}_{T}=2\\right)-\\mathbb{P}_{Q_{\\Delta}}\\left(\\widehat{a}_{T}=2\\right)\\right)+O(\\Delta^{2})\\Big\\}}\\\\&{=\\operatorname{sup}_{\\Delta\\in(0,\\infty)}\\Bigg\\{e\\Delta\\left(1-\\mathbb{P}_{P^{\\sharp\\sharp}}\\left(\\widehat{a}_{T}=1\\right)-\\sqrt{\\frac{\\mathbb{E}_{P^{\\sharp\\sharp}}\\left[L_{T}(P^{\\sharp\\sharp},Q_{\\Delta})\\right]}{2}}\\right)}\\\\&{\\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ +(1-e)\\Delta\\left(1-\\mathbb{P}_{P^{\\sharp\\sharp}}\\left(\\widehat{a}_{T}=2\\right)-\\sqrt{\\frac{\\mathbb{E}_{P^{\\sharp\\sharp}}\\left[L_{T}(P^{\\sharp\\sharp},Q_{\\Delta})\\right]}{2}}\\right)+O(\\Delta^{2})\\Bigg\\}}\\\\&{=\\operatorname{sup}_{\\Delta\\in(0,\\infty)}\\left\\{e\\Delta\\left(1-\\frac{1}{2}-\\sqrt{\\frac{\\mathbb{E}_{P^{\\sharp\\sharp}}\\left[L_{T}(P^{\\sharp\\sharp},Q_{\\Delta})\\right]}{2}}\\right)+(1-e)\\Delta\\left(1-\\frac{1}{2}-\\sqrt{\\frac{\\mathbb{E}_{P^{\\sharp\\sharp}}\\left[L_{T}(P^{\\sharp\\sharp},Q_{\\Delta})\\right]}{2}}\\right)+O(\\Delta^{2})\\right\\}}\\\\&{=\\operatorname{sup}_{\\Delta\\in(0,\\infty)}\\left\\{\\Delta\\left(\\frac{1}{2}-\\sqrt{\\frac{\\mathbb{E}_{P^{\\sharp\\sharp}}\\left[L_{T}(P^{\\sharp\\sharp},Q_{\\Delta})\\right]}{2}}\\right)+O(\\Delta^{2})\\right\\}}\\\\&{\\geq\\operatorname{inf}_{w\\in\\mathcal{W}}\\operatorname{sup}_{\\Delta\\in(0,\\infty)}\\left\\{\\Delta\\left(\\frac{1}{2}-\\sqrt{\\frac{T\\Delta^{2}}{2\\mathbb{E}_{P}\\left[\\frac{\\left(\\sigma^{1}(X_{t})\\right)^{2}}{w(1|X)}+\\frac{\\left(\\sigma^{2}(X)\\right)^{2}}{w(2|X_{t})}\\right]}+O\\big(T\\Delta^{3})}\\right)+O(\\Delta^{2})\\right\\}.}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_72", "image_path": "OMathR/img/72_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rl}{{\\widehat{\\beta}}}&{={\\frac{\\sum_{i=1}^{n}(x_{i}-h)(y_{i}-k)}{\\sum_{i=1}^{n}(x_{i}-h)^{2}}}={\\frac{\\overline{{(x-h)(y-k)}}}{\\overline{{(x-h)^{2}}}}}}\\\\&{={\\frac{{\\overline{{xy}}}-k{\\bar{x}}-h{\\bar{y}}+hk}{{\\overline{{x^{2}}}}-2h{\\bar{x}}+h^{2}}}}\\\\&{={\\frac{{\\overline{{xy}}}-{\\bar{x}}{\\bar{y}}+({\\bar{x}}-h)({\\bar{y}}-k)}{{\\overline{{x^{2}}}}-{\\bar{x}}^{2}+({\\bar{x}}-h)^{2}}}}\\\\&{={\\frac{\\operatorname{Cov}(x,y)+({\\bar{x}}-h)({\\bar{y}}-k)}{\\operatorname{Var}(x)+({\\bar{x}}-h)^{2}}},}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_73", "image_path": "OMathR/img/73_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "{\\begin{array}{rl}{{1}R_{x}(\\theta)}&{={\\left[\\begin{array}{lll}{1}&{0}&{0}\\\\{0}&{\\cos\\theta}&{-\\sin\\theta}\\\\{0}&{\\sin\\theta}&{\\cos\\theta}\\end{array}\\right]}}\\\\{R_{y}(\\theta)}&{={\\left[\\begin{array}{lll}{\\cos\\theta}&{0}&{\\sin\\theta}\\\\{0}&{1}&{0}\\\\{-\\sin\\theta}&{0}&{\\cos\\theta}\\end{array}\\right]}}\\\\{R_{z}(\\theta)}&{={\\left[\\begin{array}{lll}{\\cos\\theta}&{-\\sin\\theta}&{0}\\\\{\\sin\\theta}&{\\cos\\theta}&{0}\\\\{0}&{0}&{1}\\end{array}\\right]}}\\end{array}}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_74", "image_path": "OMathR/img/74_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "{\\begin{array}{c}{{\\binom{0}{0}}}\\\\{{\\binom{1}{0}}\\quad{\\binom{1}{1}}}\\\\{{\\binom{2}{0}}\\quad{\\binom{2}{1}}\\quad{\\binom{2}{2}}}\\\\{{\\binom{3}{0}}\\quad{\\binom{3}{1}}\\quad{\\binom{3}{2}}\\quad{\\binom{3}{3}}}\\\\{{\\binom{4}{0}}\\quad{\\binom{4}{1}}\\quad{\\binom{4}{2}}\\quad{\\binom{4}{3}}\\quad{\\binom{4}{4}}}\\\\{{\\binom{5}{0}}\\quad{\\binom{5}{1}}\\quad{\\binom{5}{2}}\\quad{\\binom{5}{3}}\\quad{\\binom{5}{4}}\\quad{\\binom{5}{5}}}\\end{array}}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_75", "image_path": "OMathR/img/75_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\begin{array}{rl}&{\\mathbf T_{F_{2,d}}^{x,2}(\\mathbf A_{i},\\mathbf A_{i})}\\\\&{=\\mathbf T_{F_{2,d}}^{x,2}(2x\\mathbf D_{i}+a_{i},2x\\mathbf D_{i}+a_{i})}\\\\&{=4\\mathbf T_{F_{2,d}}^{x,3}(x\\mathbf D_{i},x,D_{i}x)+2\\mathbf T_{F_{2,d}}^{x,2}(x\\mathbf D_{i},a_{i})}\\\\&{\\quad+2T_{F_{2,d}^{[3]}}^{x}(a_{i},x,D_{i}x)+T_{F_{2,d}^{[2]}}^{x}(a_{i},a_{i})}\\\\&{=4\\Big(\\mathbf T_{F_{2,d}}^{x,4}(x,D_{i}x,x,D_{i}x)+\\mathbf T_{F_{2,d}}^{x,3}(x,D_{i}x,D_{i}x)+\\mathbf T_{F_{2,d}}^{x,4}(x,x,D_{i}x,D_{i}x)}\\\\&{\\quad+\\mathbf T_{F_{2,d}}^{x,3}(x,x,D_{i}D_{i}x)+\\mathbf T_{F_{2,d}}^{x,4}(x,x,D_{i}x,D_{i}x)\\Big)+2\\Big(\\mathbf T_{F_{2,d}}^{x,3}(x,D_{i}x,a_{i})}\\\\&{\\quad+\\mathbf T_{F_{2,d}}^{x,2}(x,D_{i}a_{i})+\\mathbf T_{F_{2,d}}^{x,3}(x,a_{i},D_{i}x)\\Big)+2T_{F_{2,d}^{[3]}}^{x}(a_{i},x,D_{i}x)+T_{F_{2,d}^{[2]}}^{x}(a_{i},a_{i})}\\\\&{=4T_{F_{2,d}^{[4]}}^{x}(x,D_{i}x,x,D_{i}x)+4T_{F_{2,d}^{[3]}}^{x}(x,D_{i}x,D_{i}x)+8T_{F_{2,d}^{[4]}}^{x}(x,x,D_{i}x,D_{i}x)}\\\\&{\\quad+4T_{F_{2,d}^{[3]}}^{x}(x,x,D_{i}^{2}x)+2T_{F_{2,d}^{[3]}}^{x}(x,D_{i}x,a_{i})+2T_{F_{2,d}^{[2]}}^{x}(x,D_{i}a_{i})}\\\\&{\\quad+2T_{F_{2,d}^{[3]}}^{x}(x,a_{i},D_{i}x)+2T_{F_{2,d}^{[3]}}^{x}(a_{i},x,D_{i}x)+T_{F_{2,d}^{[2]}}^{x}(a_{i},a_{i}).}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_76", "image_path": "OMathR/img/76_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "\\begin{array}{rlr}&{}&{\\frac{I}{(R^{2}+fI)g^{-1}}\\left[\\eta_{1}(\\partial_{0}K_{0})(\\partial_{1}K_{0})+\\beta\\eta_{1}(\\partial_{0}K_{0})^{3}(\\partial_{1}K_{0})-\\eta_{0}(\\partial_{1}K_{0})^{2}-\\beta\\eta_{0}(\\partial_{1}K_{0})^{4}+\\eta_{1}eA_{0}(\\partial_{1}K_{0})\\right.+}\\\\&{}&{\\left.\\eta_{1}\\beta eA_{0}(\\partial_{0}K_{0})^{2}(\\partial_{1}K_{0})\\right]-\\frac{R}{g^{-1}(fI+R^{2})}\\left[\\eta_{3}(\\partial_{1}K_{0})^{2}+\\beta\\eta_{3}(\\partial_{1}K_{0})^{4}-\\eta_{1}(\\partial_{1}K_{0})(\\partial_{3}K_{0})-\\beta\\eta_{1}(\\partial_{1}K_{0})(\\partial_{3}K_{0})^{2}\\right]}\\\\&{}&{+\\frac{I}{h(fI+R^{2})}\\left[\\eta_{2}(\\partial_{0}K_{0})(\\partial_{2}K_{0})+\\beta\\eta_{2}(\\partial_{0}K_{0})^{3}(\\partial_{2}K_{0})-\\eta_{0}(\\partial_{2}K_{0})^{2}-\\beta\\eta_{0}(\\partial_{2}K_{0})^{4}+\\eta_{2}eA_{0}(\\partial_{2}K_{0})\\right.}\\\\&{}&{+\\left.\\eta_{2}eA_{0}\\beta(\\partial_{0}K_{0})^{2}(\\partial_{1}K_{0})\\right]+\\frac{fI}{(fI+R^{2})^{2}}\\left[\\eta_{3}(\\partial_{0}K_{0})(\\partial_{3}K_{0})+\\beta\\eta_{3}(\\partial_{0}K_{0})^{3}(\\partial_{3}K_{0})-\\eta_{0}(\\partial_{3}K_{0})^{2}-\\beta\\eta_{0}(\\partial_{3}K_{0})^{4}\\right.}\\\\&{}&{+\\left.\\eta_{3}eA_{0}(\\partial_{3}K_{0})+\\eta_{3}eA_{0}(\\partial_{0}K_{0})^{2}(\\partial_{3}K_{0})\\right]-m^{2}\\frac{I\\eta_{0}-R\\eta_{3}}{(fI+R^{2})}=0,}\\\\&{}&{\\frac{-I}{g^{-1}(fI+R^{2})}\\left[\\eta_{1}(\\partial_{0}K_{0})^{2}+\\beta\\eta_{1}(\\partial_{0}K_{0})^{4}-\\eta_{0}(\\partial_{0}K_{0})(\\partial_{1}K_{0})-\\beta\\eta_{0}(\\partial_{0}K_{0})(\\partial_{1}K_{0})^{3}+\\eta_{1}eA_{0}(\\partial_{0}K_{0})+\\beta\\eta_{1}eA_{0}(\\partial_{0}K_{0})^{3}\\right]}\\\\&{}&{+\\frac{R}{g^{-1}(fI+R^{2})}\\left[\\eta_{3}(\\partial_{0}K_{0})(\\partial_{1}K_{0})+\\beta\\eta_{3}(\\partial_{0}K_{0})(\\partial_{1}K_{0})^{3}-\\eta_{1}(\\partial_{0}K_{0})(\\partial_{3}K_{0})-\\beta\\eta_{1}(\\partial_{0}K_{0})(\\partial_{3}K_{0})^{3}\\right]}\\\\&{}&{+\\frac{1}{g^{-1}h}\\left[\\eta_{2}(\\partial_{1}K_{0})(\\partial_{2}K_{0})\\right.+\\left.\\beta\\eta_{2}(\\partial_{1}K_{0})(\\partial_{2}K_{0})^{3}-\\eta_{1}(\\partial_{2}K_{0})^{2}-\\beta\\eta_{1}(\\partial_{2}K_{0})^{4}\\right]}\\\\&{}&{+\\frac{1}{g^{-1}(fI+R^{2})}\\left[\\eta_{3}(\\partial_{1}K_{0})(\\partial_{3}K_{0})+\\beta\\eta_{3}(\\partial_{1}K_{0})(\\partial_{3}K_{0})^{3}-\\eta_{1}(\\partial_{3}K_{0})^{2}\\right.-\\left.\\beta\\eta_{1}(\\partial_{3}K_{0})^{4}\\right]-\\frac{m^{2}\\eta_{1}}{g^{-1}}+\\frac{eA_{0}I}{g^{-1}(fI+R^{2})}}\\\\&{}&{\\left[\\eta_{1}(\\partial_{0}K_{0})+\\beta\\eta_{1}(\\partial_{0}K_{0})^{3}-\\eta_{0}(\\partial_{1}K_{0})-\\beta\\eta_{0}(\\partial_{1}K_{0})^{3}+eA_{0}\\eta_{1}\\right.+\\left.\\beta\\eta_{1}eA_{0}(\\partial_{0}K_{0})^{2})\\right]}\\\\&{}&{+\\frac{eA_{0}R}{g^{-1}(fI+R^{2})}\\left[\\eta_{3}(\\partial_{1}K_{0})+\\beta\\eta_{3}(\\partial_{1}K_{0})^{3}-\\eta_{1}(\\partial_{3}K_{0})-\\beta\\eta_{1}(\\partial_{1}K_{0})^{3}\\right]=0,}\\end{array}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_77", "image_path": "OMathR/img/77_unimer.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\left[\\begin{array}{ccccccc}{F_{11}}&{F_{12}}&{F_{13}}&{F_{14}}&{F_{15}}&{F_{16}}&{F_{17}}\\\\{F_{21}}&{F_{22}}&{F_{23}}&{F_{24}}&{F_{25}}&{F_{26}}&{F_{27}}\\\\{F_{31}}&{F_{32}}&{F_{33}}&{F_{34}}&{F_{35}}&{F_{36}}&{F_{37}}\\\\{F_{41}}&{F_{42}}&{F_{43}}&{F_{44}}&{F_{45}}&{F_{46}}&{F_{47}}\\\\{F_{51}}&{F_{52}}&{F_{53}}&{F_{54}}&{F_{55}}&{F_{56}}&{F_{57}}\\\\{F_{61}}&{F_{62}}&{F_{63}}&{F_{64}}&{F_{65}}&{F_{66}}&{F_{67}}\\\\{F_{71}}&{F_{72}}&{F_{73}}&{F_{74}}&{F_{75}}&{F_{76}}&{F_{77}}\\end{array}\\right]=\\left[\\begin{array}{ccccccc}{0}&{0}&{0}&{F_{14}}&{F_{15}}&{F_{16}}&{F_{17}}\\\\{0}&{0}&{0}&{F_{24}}&{F_{25}}&{F_{24}}&{F_{27}}\\\\{0}&{0}&{0}&{F_{16}}&{F_{15}}&{F_{14}}&{F_{17}}\\\\{F_{14}}&{F_{15}}&{F_{16}}&{0}&{0}&{0}&{F_{17}}\\\\{F_{24}}&{F_{25}}&{F_{24}}&{0}&{0}&{0}&{F_{27}}\\\\{F_{16}}&{F_{15}}&{F_{14}}&{0}&{0}&{0}&{F_{17}}\\\\{F_{71}}&{F_{72}}&{F_{71}}&{F_{71}}&{F_{72}}&{F_{71}}&{F_{77}}\\end{array}\\right]{.}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_78", "image_path": "OMathR/img/78_unimer.jpeg", "prompt": "Please recognize and parse the mathematical expression in the figure and output it in LaTeX format.", "answer": "T=\\left(\\begin{array}{cccccccccc}{0}&{-1}&{1}&{0}&{0}&{0}&{1}&{0}&{0}&{1}\\\\{1}&{-1}&{1}&{0}&{0}&{0}&{1}&{0}&{0}&{0}\\\\{0}&{-1}&{1}&{-1}&{1}&{-1}&{0}&{0}&{0}&{0}\\\\{1}&{-1}&{2}&{1}&{-2}&{1}&{2}&{1}&{1}&{1}\\\\{-1}&{-1}&{-1}&{-1}&{3}&{-1}&{-1}&{-1}&{-2}&{-1}\\\\{0}&{0}&{0}&{0}&{0}&{0}&{0}&{1}&{-1}&{0}\\\\{0}&{1}&{-1}&{-1}&{0}&{0}&{0}&{0}&{0}&{0}\\\\{0}&{-1}&{1}&{0}&{0}&{1}&{0}&{0}&{0}&{0}\\\\{0}&{0}&{0}&{-1}&{0}&{0}&{0}&{1}&{0}&{0}\\\\{0}&{0}&{1}&{1}&{-1}&{0}&{1}&{0}&{1}&{0}\\end{array}\\right)", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_79", "image_path": "OMathR/img/79_rmj.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "\\frac{1}{\\pi}=\\frac{2 \\sqrt{2}}{9801} \\sum_{k=0}^{\\infty} \\frac{(4 k)!(1103+26390 k)}{(k!)^4 396^{4 \\mathrm{k}}}", "type": "Math" }, { "sub_set": "OMathR", "id": "omathr_math_7", "image_path": "OMathR/img/7_lib.jpeg", "prompt": "请识别并解析图中的数学表达式，用LaTeX格式输出。", "answer": "V_{\\mathrm{B}}^{\\prime}=f(x)=\\left\\{\\begin{array}{l}f_0, \\quad 0 \\leqslant x' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table 2.3. Determinants of vehicle type purchase intentions for prospective ICE buyers\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Fuel type\n \n Outcome\n \n Marginal\n
\n effect\n
\n Vehicle size\n
\n (Continuous\n
\n variable)\n 		\n Gasoline\n \n Effect of \"increasing\" car volume size by one category\n \n -2.1%\n
\n Diesel\n \n +2.4%\n
\n LNG/CNG/LPG\n \n -0.2%\n
\n HEV\n \n -0.1%\n
\n Inertia effects\n \n Gasoline or\n
\n Diesel\n 		\n Effect of currently having regular access to a gasoline or diesel car\n \n +6.5%\n
\n LNG/CNG/LPG\n \n -6.2%\n
\n HEV\n \n -0.3%\n
\n Gasoline\n \n Effect of currently having regular access to a HEV or PHEV\n \n -10.6%\n
\n Diesel\n \n +2.0%\n
\n LNG/CNG/LPG\n \n +6.8%\n
\n HEV\n \n +1.8%\n
\n Gasoline\n \n Effect of currently having regular access to a BEV\n \n -7.0%\n
\n Diesel\n \n +5.4%\n
\n LNG/CNG/LPG\n \n +2.4%\n
\n HEV\n \n -0.8%\n
\n Gasoline\n \n Effect of currently having regular access to a HFCV\n \n -5.0%\n
\n Diesel\n \n +1.1%\n
\n LNG/CNG/LPG\n \n +4.5%\n
\n HEV\n \n -0.6%\n
\n Environmental\n
\n indexes\n 		\n Gasoline\n \n Environmental awareness index\n
\n Continuous index in the interval 0 to 1\n
\n (reported effects reflect the difference between 0 and 1)\n 		\n +18.0%\n
\n Diesel\n \n -22.3%\n
\n LNG/CNG/LPG\n \n +1.3%\n
\n HEV\n \n +3.0%\n
\n Gasoline\n \n Environmental motivation index\n
\n Continuous index ranging from 0 to 1\n
\n (reported effects reflect the difference between 0 and 1)\n 		\n -3.4%\n
\n Diesel\n \n -0.6%\n
\n LNG/CNG/LPG\n \n -0.2%\n
\n HEV\n \n +4.2%\n
\n Age effects\n
\n (Baseline = Being\n
\n under 55 years old)\n 		\n Gasoline\n \n Effect of being over 55 years old\n \n +7.3%\n
\n Diesel\n \n -5.9%\n
\n LNG/CNG/LPG\n \n -1.8%\n
\n HEV\n \n +0.4%\n
\n Higher education\n
\n (Baseline = No\n
\n Bachelor's degree)\n 		\n Gasoline\n \n Effect of higher education\n \n -0.4%\n
\n Diesel\n \n -0.1%\n
\n LNG/CNG/LPG\n \n 0.0%\n
\n HEV\n \n +0.5%\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_10", "image_path": "OTableR/img/en_10_oecd.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table A C.3. Percentage of respondents who “always” consider sustainability impacts by sector\nNote: respondents could indicate more than one sector\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Sustainability Impact Category\n \n Chemicals\n
\n and\n
\n Chemical\n
\n products\n
\n $(N=34)^{*}$\n 		\n \n Rubber\n
\n and\n
\n Plastics\n
\n products\n
\n (N=10)\n 		\n Textiles\n
\n $(N=10)^{**}$\n 		\n Electronic\n
\n Equipment\n
\n $(N=10)^{***}$\n 		\n Food\n
\n Beverage\n
\n and\n
\n Pharmaceut\n
\n ical\n
\n products\n
\n (N=8)^\n 		\n Paper and\n
\n Wood\n
\n (N=7)^^\n 		\n Metals and\n
\n Minerals\n
\n (N=5)^^^\n 		\n Furniture\n
\n (N=7)\n
\n Greenhouse gasemissions\n \n 38%\n \n \n 50%\n \n 50%\n \n 60%\n \n 50%\n \n 57%\n \n 40%\n \n 43%\n
\n Otherairemissions (e.g., PM2.5, VOCs)\n \n 38%\n \n \n 60%\n \n 50%\n \n 50%\n \n 50%\n \n 43%\n \n 40%\n \n 57%\n
\n Biodiversityimpacts (including land use)\n \n 26%\n \n \n 30%\n \n 20%\n \n 20%\n \n 25%\n \n 43%\n \n 40%\n \n 29%\n
\n Energy consumption\n \n 38%\n \n \n 50%\n \n 40%\n \n 60%\n \n 50%\n \n 43%\n \n 60%\n \n 43%\n
\n Resource use (e.g., water, mineral,\n
\n metal)\n 		\n 41%\n \n \n 50%\n \n 40%\n \n 50%\n \n 50%\n \n 29%\n \n 60%\n \n 43%\n
\n Generation ofwaste (e.g., hazardous\n
\n waste, water pollution, solid waste)\n 		\n 47%\n \n \n 70%\n \n 50%\n \n 70%\n \n 50%\n \n 43%\n \n 60%\n \n 57%\n
\n Circularity (e.g., renewable feedstock\n
\n durability)\n 		\n 32%\n \n \n 20%\n \n 30%\n \n 20%\n \n 25%\n \n 29%\n \n 0%\n \n 29%\n
\n Social impacts (e.g., worker rights and\n
\n conditions)\n 		\n 47%\n \n \n 60%\n \n 40%\n \n 80%\n \n 63%\n \n 57%\n \n 80%\n \n 57%\n
\n \n $^{*}$ A number of survey responders indicated that they were a part of the chemical industry but did not complete the sustainabilty attributes portion of the survey (n=6,\n
\n or 18% of responses for the secton). Therefore, the percentages listed in the table may be artificialy lower than forother sectors.\n
\n $^{**}$ Textiles sectoris a combination of the following three responses for sectors: apparel (ready-to-wearclothing and accessories),textles (spinning, weaving,\n
\n finishing of cloth,as an input to apparel or textile articles),textile articles (non-apparel, such as blankets, rugs, rope,netting).\n
\n $^{***}$ Electronic Equipment is a combination of the following two responses for sectors: computer, electronic and opticalproducts, otherelectrical equipment (batteries,\n
\n lighting,domestic appliances,excluding computer,electronic,and optical products).\n
\n ^ This is a combination of the following sectors: beverages, food products,basic pharmaceuticalproducts and pharmaceutical preparations\n
\n ^^ This is a combination ofthe following sectors: paperand paper products,products of wood and cork\n
\n ^^^ This is a cobination of the folowing sectors: basic metals, fabricated metal products, non-metallic mineral products\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_11", "image_path": "OTableR/img/en_11_who.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Figure 2.12 Rank of deaths due to road traffic injury,suicide and homicide,by age group and sex$^{*}$, 2019\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Road traffic\n \n Suicide\n \n Homicide\n
\n Age group (years)\n \n Male\n \n Female\n \n Male\n \n Female\n \n Male\n \n Female\n
\n 0-15\n \n 7\n \n 9\n \n >30\n \n >30\n \n 22\n \n 25\n
\n 15-29\n \n 1\n \n 5\n \n 4\n \n 3\n \n 2\n \n 7\n
\n 30-49\n \n 2\n \n 8\n \n 7\n \n 10\n \n 8\n \n 17\n
\n 50-59\n \n 5\n \n 13\n \n 13\n \n 19\n \n 21\n \n >30\n
\n 60-69\n \n 12\n \n 18\n \n 20\n \n 27\n \n >30\n \n >30\n
\n 70+\n \n 22\n \n 28\n \n 27\n \n >30\n \n >30\n \n >30\n
\nCrude death rate (per 100 000 population) - range of 0.4 to 51.1\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_12", "image_path": "OTableR/img/en_12_sec.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n $JPMorgan Chase^{(a)}$\n
\n Consumer Businesses\n \n Wholesale Businesses\n
\n Consumer & Community Banking\n \n Corporate & Investment Bank\n \n Commercial\n
\n Banking\n 		\n Asset & Wealth\n
\n Management\n
\n Banking &\n
\n Wealth Management\n 		\n Home Lending\n \n Card Services &\n
\n Auto\n 		\n Banking\n \n Markets &\n
\n Securities Services\n 		\n · Middle\n
\n Market\n
\n Banking\n
\n · Corporate\n
\n Client\n
\n Banking\n
\n · Commercial\n
\n Real Estate\n
\n Banking\n 		\n · Asset\n
\n Management\n
\n · Global\n
\n Private Bank\n
\n · Consumer\n
\n Banking\n
\n · J.P.Morgan\n
\n Wealth\n
\n Management\n
\n · Business Banking\n 		\n · Home\n
\n Lending\n
\n Production\n
\n · Home\n
\n Lending\n
\n Servicing\n
\n · Real Estate\n
\n Portfolios\n 		\n · Card Services\n
\n · Auto\n 		\n · Investment\n
\n Banking\n
\n · Payments\n
\n · Lending\n 		\n · Fixed\n
\n Income\n
\n Markets\n
\n · Equity\n
\n Markets\n
\n · Securities\n
\n Services\n
\n · Credit\n
\n Adjustments\n
\n & Other\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_13", "image_path": "OTableR/img/en_13_sec.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n $ESG^{1}$\n \n Lower Limit\n
\n (0%)\n 		\n Target\n
\n (100%)\n 		\n Upper Limit\n
\n (150%)\n 		\n Result\n
\n YE 2023\n 		\n Achieve-\n
\n ment Level\n 		\n Relative\n
\n weight\n 		\n Relative\n
\n Achieve-\n
\n ment Level\n
\n Environment\n \n Sustainable\n
\n Finance\n 		\n Increase in business with\n
\n sustainable financing and\n
\n investments\n 		\n € 265 bn\n \n € 315 bn\n \n € 365 bn\n \n € 279 bn\n \n 28%\n \n 12.5%\n \n 3,5%\n
\n Drive climate risk management\n
\n - Publicly disclose detailed Net\n
\n Zero Transition plan and set\n
\n reduction targets for further\n
\n carbon intense industry\n
\n sectors by year end 2023 to\n
\n align with NZBA commitment\n 		\n Comple-tion\n
\n of target\n
\n setting for 2\n
\n or less\n
\n relevant key\n
\n sectors\n 		\n Comple-tion\n
\n of target\n
\n setting for 4\n
\n relevant key\n
\n sectors\n 		\n Comple-tion\n
\n of target\n
\n setting for\n
\n further 8(all)\n
\n NZBA\n
\n recommende\n
\n d relevant\n
\n key sectors\n 		\n 3 relevant\n
\n key sectors\n
\n (coal mining,\n
\n cement,and\n
\n shipping)\n 		\n 50%\n \n 12.5%\n \n 6.25%\n
\n Own Operations\n \n Total building/ energy\n
\n consumption\n
\n (kwh/squaremeter)vs. YE 2019\n 		\n -17%\n \n -21%\n \n -23%\n \n -26%-30%\n \n 150%\n \n 5%\n \n 7.50%\n
\n Social\n \n Employee Feedback Culture\n
\n (latest survey result)\n 		\n 72%\n \n 75%\n \n 78%\n \n 73.84%\n \n 61.33%\n \n 5%\n \n 3.07%\n
\n Gender Diversity (VP/D/MD)\n \n 31%\n \n 31.8%\n \n 32.3%\n \n 32.3%\n \n 150%\n \n 10%\n \n 15%\n
\n Governance\n \n Control Risk Management Grade\n
\n (Assessment & Group Audit\n
\n Risk/Control Culture Grade)-\n
\n annual average\n 		\n 1.5\n \n 3\n \n 5\n \n 2.1\n \n 40%\n \n 15%\n \n 6%\n
\n AML /KYC Remediation\n
\n Achtivities\n 		\n 0%\n \n 100%\n \n 150%\n \n 75%\n \n 75%\n \n 40%\n \n 30%\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_14", "image_path": "OTableR/img/en_14_sec.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Achievement Levels (%)\n \n Overall LTA Achievement\n
\n \n ESG-\n
\n Objectives\n
\n (33.33%)\n 		\n RTSR\n
\n (25%)\n 		\n Group\n
\n Financials\n
\n (41.67%)\n 		\n Achievement\n
\n level\n
\n (in %)\n 		\n Achievement\n
\n level\n
\n (in €)\n
\n Christian Sewing\n \n 71.04%\n \n 92.50%\n \n 73.75%\n \n 77.53%\n \n 2,616,778\n
\n James von Moltke\n \n 2,291,135\n
\n Fabrizio Campelli\n \n 2,372,546\n
\n Claudio de $Sanctis^{1}$\n \n 1,139,752\n
\n Bernd Leukert\n \n 1,907,341\n
\n Alexander von zur Mühlen\n \n 1,907,341\n
\n Rebecca Short\n \n 1,907,341\n
\n Professor Dr.Stefan Simon\n \n 1,907,341\n
\n Olivier $Vigneron^{2}$\n \n 68.54%\n \n 95.00%\n \n 74.00%\n \n 77.43%\n \n 1,904,778\n
\n Christiana $Riley^{3}$\n \n N/A\n \n N/A\n \n N/A\n \n N/A\n \n N/A\n
\n Karl von $Rohr^{4}$\n \n 71.04%\n \n 92.50%\n \n 73.75%\n \n 77.53%\n \n 1,841,436\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_15", "image_path": "OTableR/img/en_15_sec.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Colleagues\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Measure\n \n Criteria\n \n Peformance\n \n Commentary\n \n Outcome\n
\n Diversity\n \n 33% females at Managing\n
\n Director and Director level\n
\n by 2025\n 		\n $30\\%^{△}$ in 2023, increasing\n
\n from29% in 2022\n 		\n ·Continued to make progress towards 2025 Gender and\n
\n Underrepresented Race and Ethnicity Ambitions\n
\n · Achieved our Ambition to increase overall\n
\n underrepresented minority representation by 25%in the UK and 20% in the US two years early. As at the end of\n
\n 2023, underrepresented minorities represent 5.1% of the\n
\n total populaton int he UK and 21% of the total population in\n
\n the US. Ambition reset to achieve a further 12.5% increase\n
\n in the UK and 5% increase in the US by the end of 2025\n
\n · The number of Managing Directors from\n
\n underrepresented ethnicities largely unchanged versus 2022\n 		\n Sightly behind\n
\n track\n
\n Increase underepresented\n
\n $minority^{1}$ representation in\n
\n the UK to 5% and in the US\n
\n to 21% by 2025\n 		\n UK: 5.1% (2020 baseline of\n
\n 4.0%)\n
\n US: 21.0% (2020 baseline of\n
\n 18.1%)\n
\n 50% increase in the number\n
\n of Managing Directors from\n
\n underrepresented\n
\n ethnicities in the UK and the\n
\n US combined by 2025\n
\n (measured from 2022\n
\n baseline)\n 		\n 55 Managing Directors\n
\n (2022 baseline of 56)\n
\n Inclusion\n \n Improve incusion indicators\n \n Incusion Index\n
\n fromYour View survey\n
\n 83%(2022: 82%)\n 		\n · 90% of employees in Your View survey told us they feel\n
\n included in their team (2022: 88%)\n
\n · 85% of employees in Your View survey told us they believe\n
\n that senior leaders are truly committed to buildinga dverse\n
\n workforce(2022: 84%)\n 		\n Ontrack\n
\n Engagement\n \n Maintain engagement at\n
\n healthy levels\n 		\n Employee Engagement\n
\n score from Your View\n
\n survey 86%(2022: 84%)\n
\n 86% of employees in\n
\n Your View survey would\n
\n recommend Barclays to\n
\n people they know as a\n
\n great placetowork\n
\n (2022: 85%)\n 		\n · Overall Wellbeing Index score from Your View survey of\n
\n 88% (2022: 86%)\n
\n · Highest Engagement and Wellbeing index scores to $date^{2}$\n
\n · 89% of employees inYour View survey told us that their line\n
\n managers are supporting their efforts to maintain their\n
\n wellbeing (2022: 90%)\n 		\n Ahead of track\n
\n Culture\n \n Maintain culture indicators\n \n 94% of employees in\n
\n Your View survey beleve\n
\n that they and their team\n
\n do a good job of role-\n
\n modelling the Values\n
\n everyday (2022: 92%)\n
\n 93%of employees in\n
\n Your View sunvey\n
\n belevethat they and\n
\n their team do a good\n
\n job of role-modelling our\n
\n Mindset everyday\n
\n (2022: 92%)\n 		\n · As part of the culture change programme, Consistently\n
\n Excellent, the higher operating standard was incorporated\n
\n into ourexisting Values and Mindset behaviours and as part\n
\n of an enhanced set of leadership behaviours\n
\n · In the first Your View survey where we included questions\n
\n related to Consistently Excellent, 89% of employees told\n
\n us that they felt their peers \"have a good understanding of\n
\n what it means to be a consistently excellent organisation\"\n
\n · 83% of employees inYour Vew survey said they feel it is\n
\n safeto speak up at Barclays\"(2022: 83%)\n
\n · 62%of colleagues said it was \"simple and straight forward\n
\n to get things done at Bardays\", aconceptinline withone of\n
\n our key Consistently Excellent focus areas-although this\n
\n result shows that there is still more to be done in making\n
\n Barclays more efficient (2022: 60%)\n 		\n Slighty ahead\n
\n of track\n
\n Total Colleagues: 5.5%\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_16", "image_path": "OTableR/img/en_16_wb.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "FIGURE 2.10 Sequencing of the Sovereign-Bank Nexus——Selected Stylized Features and\\nKey Financial Sector Policy Implications\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n ACCUMULATION\n \n DETERIORATION\n \n CRISIS\n
\n Stylized\n
\n features\n 		\n · Building fiscal pressures\n
\n and higher deficits\n
\n · Tightening financial\n
\n conditions for both the\n
\n public and financial\n
\n Retrenchment of foreign\n
\n investors\n
\n · Public debt accumulation\n
\n by domestic banks,\n
\n supported by moral suasion\n 		\n · Unsustainabe fiscal policies\n
\n and rising expectations of\n
\n sovereign default\n
\n · Erosion of fiscaland monetary\n
\n policy space\n
\n · Erosion of credibility of\n
\n government backstops and\n
\n guarantees\n
\n · Sharp decline in external\n
\n conditions, with reduced\n
\n market access\n
\n · Acute liquidity and solvency\n
\n challengesfor the financial sector\n 		\n · Resolution of uncertainty\n
\n around debt sustainability\n
\n challenges\n
\n · Recognition and allocation\n
\n of losses in the financial\n
\n sector\n
\n · Policy measures\n
\n to mitigate the\n
\n socioeconomic fallout\n
\n · Potential external support\n
\n from international financial\n
\n institutions\n
\n Key\n
\n financial\n
\n sector\n
\n policy\n
\n implications\n 		\n · Consider topping up\n
\n international standards\n
\n for sovereign exposures\n
\n (counterparty risk)\n
\n · Ensure effective\n
\n governance and\n
\n operational independence\n
\n of authorities\n
\n · Diversify domestic\n
\n financial intermediation\n 		\n Where domestic debt\n
\n restructuring isconsidered\n
\n · Consider financial stability\n
\n implications alongside direct\n
\n fiscal benefits\n
\n · Coordinate among key public\n
\n stakeholders\n 		\n · Implement institutional\n
\n set-up fostering credible\n
\n objective setting and\n
\n decisive actions\n
\n · Establish effective and\n
\n operational financial safety\n
\n nets\n
\n · Perform swift viability\n
\n assessments informing\n
\n priorities\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_17", "image_path": "OTableR/img/en_17_wb.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Area\n \n Tool\n \n Example\n
\n Microprudential tools\n \n Transition plans\n \n Philippines, Singapore\n
\n (announced), EU, Ghana\n
\n Adjusted risk weights (green\n
\n supporting factor/penalizing factor)\n 		\n Hungary, Indonesia\n
\n Post-disasterregulatory response\n \n Bangladesh, Philippines, India\n
\n Macroprudential tools\n \n Adjusted loan-to-value ratio\n \n Indonesia, Netherlands\n
\n Concentration threshold\n \n Philippines, Explored by EU\n
\n Sectoral systemic risk buffer\n \n Explored by EU\n
\n Credit allocation\n
\n policies\n 		\n Direct credit guidance/lending quota\n \n Bangladesh, Fiji, India\n
\n Central bank tools\n \n Credit facilities/targeted refinancing\n
\n operations\n 		\n Bangladesh, China, Egypt,\n
\n Japan, Malaysia\n
\n Collateral management\n \n China,EU\n
\n Reserve requirements\n \n Indonesia, Lebanon, Philippines\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_18", "image_path": "OTableR/img/en_18_wb.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "TABLE E.2 Growth of Gross Loans\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n All EMDEs\n
\n Foreign\n \n -0.0529\n
\n (-0.109)\n 		\n -0.4998\n
\n (-0.816)\n 		\n 1.5799$^{*}$\n
\n (1.706)\n 		\n 0.0883$^{*}$\n
\n (0.078)\n
\n Public\n \n -2.5488$^{***}$\n
\n (-4.480)\n 		\n 1.2387$^{*}$\n
\n (1.728)\n 		\n -0.4249\n
\n (-0.355)\n 		\n 2.4632\n
\n (1.499)\n
\n Holding of Government Securities\n
\n (% of Total Assets)\n 		\n \n -0.1041$^{***}$\n
\n (-3.054)\n 		\n \n -0.1090$^{***}$\n
\n (-3.127)\n
\n Ln Total Assets (USD Millions)\n \n \n -1.1281$^{***}$\n
\n (-6.083)\n 		\n \n -1.1411$^{***}$\n
\n (-6.111)\n
\n Regulatory Capital Ratio\n \n \n -0.0085\n
\n (-0.250)\n 		\n \n -0.0049\n
\n (-0.143)\n
\n Non-performing Loans\n
\n (%of Gross Loans)\n 		\n \n -0.4819***\n
\n (-10.262)\n 		\n \n -0.4787***\n
\n (-9.980)\n
\n Liquid Assets (%of Total Assets)\n \n \n -0.0980***\n
\n (-3.586)\n 		\n \n -0.0985***\n
\n (-3.573)\n
\n Public Debt X foreign\n \n \n \n -0.0337$^{**}$\n
\n (-2.215)\n 		\n -0.0117\n
\n (-0.617)\n
\n Public Debt X Public\n \n \n \n -0.0340\n \n -0.0223\n
\n Constant\n \n 20.8296$^{***}$\n
\n (67.986)\n 		\n 33.1337$^{***}$\n
\n (18.065)\n 		\n 19.8396$^{***}$\n
\n (62.968)\n 		\n 32.8922$^{***}$\n
\n (17.769)\n
\n 0bservations (bank-years)\n \n 41,1963\n \n 15,016\n \n 38,832\n \n 14,738\n
\n Number of banks\n \n 3,305\n \n 1,692\n \n 3,104\n \n 1,663\n
\n R2\n \n 0.275\n \n 0.383\n \n 0.257\n \n 0.374\n
\n Country-year Fixed Effects\n \n Yes\n \n Yes\n \n Yes\n \n Yes\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_19", "image_path": "OTableR/img/en_19_sec.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n Page\n \n Pillar 3\n
\n Report\n
\n Risk management strategy\n
\n Overview of Barclays' approach to risk\n
\n management. A detailed overview\n
\n together with more specific information\n
\n on policies that the Group determines\n
\n to be of particular significance in the\n
\n current operating environment can be\n
\n found in the Barclays PLC Pillar 3 Report\n
\n 2023 orat barclays.com\n 		\n Enterprise Risk Management Framework(ERMF)\n \n 256\n \n 106\n
\n Segregation of duties-the 'Three Lines\n
\n of Defence' model\n 		\n 256\n \n 106\n
\n Principal risks\n \n 257\n \n 106\n
\n Risk appetite\n \n 257\n \n 107\n
\n Risk committees\n \n 257\n \n 109\n
\n Barclays' risk culture\n \n 257\n \n 111\n
\n Material existing and emerging risks\n
\n Insight into the levelof risk across our\n
\n business and portfolios, the material\n
\n existing and emerging risks and\n
\n uncertainties we face andthe key areas\n
\n of managementfocus.\n 		\n Material existing and emerging risks potentially\n
\n impacting more than one principal risk\n 		\n 258\n \n N/A\n
\n Climate risk\n \n 262\n \n N/A\n
\n Credit risk\n \n 263\n \n N/A\n
\n Market risk\n \n 265\n \n N/A\n
\n Treasury and Capitalrisk\n \n 265\n \n N/A\n
\n Liquidity risk\n \n 265\n \n N/A\n
\n Capital risk\n \n 265\n \n N/A\n
\n Interest rate riskinthe banking book (IRRBB)\n \n 266\n \n N/A\n
\n Operational risk\n \n 266\n \n N/A\n
\n Tax risk\n \n 268\n \n N/A\n
\n Model risk\n \n 269\n \n N/A\n
\n Compliance risk\n \n 269\n \n N/A\n
\n Legal risk\n \n 270\n \n N/A\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_1", "image_path": "OTableR/img/en_1_sec.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n YEAR ENDED 31 DECEMBER\n \n RMB'000\n
\n \n 2019\n \n 2020\n \n 2021\n \n
\n 2022\n
\n (RESTATED)\n 		\n 2023\n
\n Profit/(loss) for the year\n \n (2,082,699)\n \n 10,244,940\n \n 952,843\n \n (5,341,887)\n \n 1,215,188\n
\n \n AS AT 31 DECEMBER\n
\n \n 2019\n \n 2020\n \n 2021\n \n 2022\n
\n (RESTATED)\n 		\n 2023\n
\n Total assets\n \n 24,401,623\n \n 35,044,195\n \n 36,535,112\n \n 31,887,955\n \n 35,194,712\n
\n Total liabilities\n \n 8,792,242\n \n 6,816,285\n \n 7,742,922\n \n 7,731,488\n \n 8,621,455\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_20", "image_path": "OTableR/img/en_20_who.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Summary of SDG 3 indicators for which country-level values are reported as comparable $estimates^{a}$\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Member State\n \n 3.1.1\n
\n Maternal mortality $ratio^{b}$\n
\n 2017\n 		\n 3.2.1\n
\n Under-five mortality $rate^{c}$\n
\n 2018\n 		\n 3.2.2\n
\n Neonatal mortality $rate^{c}$\n
\n 2018\n 		\n 3.3.1\n
\n New HIV $infections^{d}$\n
\n 2018\n 		\n 3.3.2\n
\n Tuberculosis $incidence^{e}$\n
\n 2018\n 		\n 3.3.3\n
\n Malaria $incidence^{f}$\n
\n 2018\n 		\n 3.3.4\n
\n Hepatitis B $prevalence^{g}$\n
\n 2015\n 		\n 3.4.1\n
\n Probability of dying from the\n
\n four maior $NCDs^{h}$\n
\n 2016\n 		\n 3.4.2\n
\n Suicide mortality $rate^{e}$\n
\n 2016\n 		\n 3.5.2\n
\n Alcohol consumption\n
\n 2018\n 		\n 3.6.1\n
\n Road traffic mortality $rate^{e}$\n
\n 2016\n 		\n 3.8.1\n
\n UHC service coverage index\n
\n 2017\n 		\n 3.9.1\n
\n Air pollution mortality $rate^{j}$\n
\n 2016\n 		\n 3.9.2\n
\n WASH mortality $rate^{e}$\n
\n 2016\n 		\n 3.9.3\n
\n Poisoning mortality $rate^{e}$\n
\n 2016\n 		\n 3.a.1\n
\n Tobacco use $prevalence^{k}$\n
\n 2018\n 		\n 3.b.1\n
\n DTP3 $immunization^{l}$\n
\n 2018\n 		\n 3.b.1\n
\n MCV2 $immunization^{m}$\n
\n 2018\n 		\n 3.b.1\n
\n PCV3 $immunization^{l}$\n
\n 2018\n 		\n 3.b.1\n
\n Hpv $vaccine^{n}$\n
\n 2018\n
\n Algeria\n \n 112\n \n 23\n \n 15\n \n
\n 0.03\n 		\n
\n 69\n 		\n \n
\n 0.22\n 		\n
\n 4.2\n 		\n
\n 3.2\n 		\n
\n 0.9\n 		\n \n
\n 78\n 		\n
\n 49.7\n 		\n
\n 1.9\n 		\n 0.8\n \n 18.8\n \n
\n 91\n 		\n 77\n \n 91\n \n
\n Angola\n \n 241\n \n 77\n \n 28\n \n
\n 1.01\n 		\n
\n 355\n 		\n
\n 228.9\n 		\n
\n 4.85\n 		\n
\n 16.5\n 		\n
\n 4.7\n 		\n
\n 6.9\n 		\n
\n 23.6\n 		\n
\n 40\n 		\n
\n 118.5\n 		\n
\n 48.8\n 		\n 2.7\n \n \n
\n 59\n 		\n 35\n \n 67\n \n
\n Benin\n \n 397\n \n 93\n \n 31\n \n
\n 0.34\n 		\n
\n 56\n 		\n
\n 386.2\n 		\n
\n 5.55\n 		\n
\n 9.61\n 		\n
\n 9.9\n 		\n
\n 2.8\n 		\n
\n 27.5\n 		\n
\n 40\n 		\n
\n 205.0\n 		\n
\n 59.7\n 		\n 3.5\n \n 7.2\n \n
\n 76\n 		\n \n 73\n \n
\n Botswana\n \n 144\n \n 36\n \n 24\n \n
\n 4.36\n 		\n
\n 275\n 		\n
\n 0.6\n 		\n
\n 0.19\n 		\n
\n 20.3\n 		\n
\n 9.3\n 		\n
\n 6.6\n 		\n
\n 23.8\n 		\n
\n 61\n 		\n
\n 101.3\n 		\n
\n 11.8\n 		\n 1.1\n \n 237\n \n
\n 95\n 		\n 74\n \n 91\n \n 82\n
\n Burkina Faso\n \n 320\n \n 76\n \n 25\n \n
\n 0.12\n 		\n
\n 48\n 		\n
\n 398.7\n 		\n
\n 4.29\n 		\n
\n 21.7\n 		\n
\n 7.7\n 		\n
\n 12.0\n 		\n
\n 30.5\n 		\n
\n 40\n 		\n
\n 206.2\n 		\n
\n 49.6\n 		\n 3.0\n \n 16.0\n \n
\n 91\n 		\n 71\n \n 91\n \n
\n Burundi\n \n 548\n \n 58\n \n 22\n \n
\n 0.16\n 		\n
\n 111\n 		\n
\n 250.3\n 		\n
\n 2.59\n 		\n
\n 22.9\n 		\n
\n 91\n 		\n
\n 7.2\n 		\n
\n 34.7\n 		\n
\n 42\n 		\n
\n 179.9\n 		\n
\n 65.4\n 		\n 5.2\n \n 12.6\n \n
\n 90\n 		\n 77\n \n 90\n \n
\n Cabo Verde\n \n 58\n \n 19\n \n 12\n \n
\n 0.19\n 		\n
\n 46\n 		\n
\n <0.1\n 		\n
\n 0.71\n 		\n
\n 17.2\n 		\n
\n 1.3\n 		\n
\n 5.6\n 		\n
\n 25.0\n 		\n
\n 69\n 		\n
\n 99.5\n 		\n
\n 4.1\n 		\n 0.5\n \n \n
\n 98\n 		\n 88\n \n \n
\n Cameroon\n \n 529\n \n 76\n \n 27\n \n
\n 1.02\n 		\n
\n 186\n 		\n
\n 247\n 		\n
\n 1.90\n 		\n
\n 21.6\n 		\n
\n 12.2\n 		\n
\n 5.6\n 		\n
\n 30.1\n 		\n
\n 46\n 		\n
\n 208.1\n 		\n
\n 45.2\n 		\n 3.1\n \n 9.3\n \n
\n 79\n 		\n \n 79\n \n
\n Central African Republic\n \n 829\n \n 116\n \n 41\n \n
\n 1.20\n 		\n
\n 540\n 		\n
\n 347.3\n 		\n
\n 6.62\n 		\n
\n 23.1\n 		\n
\n 7.7\n 		\n
\n 2.4\n 		\n
\n 33.6\n 		\n
\n 33\n 		\n
\n 211.9\n 		\n
\n 82.1\n 		\n 3.2\n \n \n
\n 47\n 		\n \n 47\n \n
\n Chad\n \n 1140\n \n 119\n \n 34\n \n
\n 0.44\n 		\n
\n 142\n 		\n
\n 164.8\n 		\n
\n 3.08\n 		\n
\n 23.9\n 		\n
\n 8.8\n 		\n
\n 1.4\n 		\n
\n 27.6\n 		\n
\n 28\n 		\n
\n 280.1\n 		\n
\n 101.0\n 		\n 3.6\n \n 11.8\n \n
\n 41\n 		\n \n \n
\n Comoros\n \n 273\n \n 67\n \n 32\n \n
\n 0.01\n 		\n
\n 35\n 		\n
\n 18.8\n 		\n
\n 1.96\n 		\n
\n 22.9\n 		\n
\n 6.8\n 		\n
\n 0.7\n 		\n
\n 26.5\n 		\n
\n 52\n 		\n
\n 172.4\n 		\n
\n 50.7\n 		\n 2.4\n \n 19.5\n \n
\n 91\n 		\n \n \n
\n Congo\n \n 378\n \n 50\n \n 20\n \n
\n 1.03\n 		\n
\n 375\n 		\n
\n 235.1\n 		\n
\n 4.11\n 		\n
\n 16.7\n 		\n
\n 5.9\n 		\n
\n 9.3\n 		\n
\n 27.4\n 		\n
\n 39\n 		\n
\n 130.7\n 		\n
\n 38.7\n 		\n 1.2\n \n 16.1\n \n
\n 75\n 		\n \n 73\n \n
\n Cote d'lvoire\n \n 617\n \n 81\n \n 34\n \n
\n 0.70\n 		\n
\n 142\n 		\n
\n 330.6\n 		\n
\n 3.04\n 		\n
\n 29.1\n 		\n
\n 14.5\n 		\n
\n 2.7\n 		\n
\n 23.6\n 		\n
\n 47\n 		\n
\n 269.0\n 		\n
\n 47.2\n 		\n 3.9\n \n 13.0\n \n
\n 82\n 		\n \n 81\n \n
\n Democratic Republicof the Congo\n \n 473\n \n 88\n \n 28\n \n
\n 0.21\n 		\n
\n 321\n 		\n
\n 319.8\n 		\n
\n 1.43\n 		\n
\n 19.4\n 		\n
\n 5.7\n 		\n
\n 2.0\n 		\n
\n 33.7\n 		\n
\n 41\n 		\n
\n 163.9\n 		\n
\n 59.8\n 		\n 3.2\n \n \n
\n 81\n 		\n \n 81\n \n
\n Equatorial Guinea\n \n 301\n \n 85\n \n 30\n \n
\n 4.21\n 		\n
\n 201\n 		\n
\n 269\n 		\n
\n 8.66\n 		\n
\n 22.0\n 		\n
\n 16.4\n 		\n
\n 7.2\n 		\n
\n 24.6\n 		\n
\n 45\n 		\n
\n 177.7\n 		\n
\n 22.3\n 		\n 1.9\n \n \n
\n 25\n 		\n \n \n
\n Erirea\n \n 480\n \n 42\n \n 18\n \n
\n 0.15\n 		\n
\n 89\n 		\n
\n 28.9\n 		\n
\n 0.74\n 		\n
\n 23.9\n 		\n
\n 7.9\n 		\n
\n 1.4\n 		\n
\n 25.3\n 		\n
\n 38\n 		\n
\n 173.7\n 		\n
\n 45.6\n 		\n 4.2\n \n 7.2\n \n
\n 95\n 		\n 88\n \n 95\n \n
\n Eswatini\n \n 437\n \n 54\n \n 17\n \n
\n 8.62\n 		\n
\n 329\n 		\n
\n 0.8\n 		\n
\n 0.85\n 		\n
\n 26.7\n 		\n
\n 13.3\n 		\n
\n 10.0\n 		\n
\n 26.9\n 		\n
\n 63\n 		\n
\n 137.0\n 		\n
\n 27.9\n 		\n 3.3\n \n 10.7\n \n
\n 90\n 		\n 75\n \n 88\n \n
\n Ethiopia\n \n 401\n \n 55\n \n 28\n \n
\n 0.24\n 		\n
\n 151\n 		\n
\n 31.8\n 		\n
\n 2.61\n 		\n
\n 18.3\n 		\n
\n 7.2\n 		\n
\n 2.4\n 		\n
\n 26.7\n 		\n
\n 39\n 		\n
\n 144.4\n 		\n
\n 43.7\n 		\n 2.9\n \n 4.6\n \n
\n 72\n 		\n \n 67\n \n
\n Gabon\n \n 252\n \n 45\n \n 21\n \n
\n 1.01\n 		\n
\n 525\n 		\n
\n 248.2\n 		\n
\n 4.16\n 		\n
\n 14.4\n 		\n
\n 7.1\n 		\n
\n 8.7\n 		\n
\n 23.2\n 		\n
\n 49\n 		\n
\n 76\n 		\n
\n 20.6\n 		\n 0.9\n \n \n
\n 70\n 		\n \n \n
\n Gambia\n \n 597\n \n 58\n \n 26\n \n
\n 1.06\n 		\n
\n 174\n 		\n
\n 66\n 		\n
\n 1.17\n 		\n
\n 20.4\n 		\n
\n 5.1\n 		\n
\n 3.6\n 		\n
\n 29.7\n 		\n
\n 44\n 		\n
\n 237.0\n 		\n
\n 29.7\n 		\n 1.9\n \n 14.4\n \n
\n 93\n 		\n 71\n \n 93\n \n
\n Ghana\n \n 7308\n \n 48\n \n 24\n \n
\n 0.70\n 		\n
\n 148\n 		\n
\n 224.3\n 		\n
\n 3.61\n 		\n
\n 20.8\n 		\n
\n 5.4\n 		\n
\n 2.8\n 		\n
\n 24.9\n 		\n
\n 47\n 		\n
\n 203.8\n 		\n
\n 18.8\n 		\n 1.7\n \n 3.7\n \n
\n 97\n 		\n 83\n \n 96\n \n
\n Guinea\n \n 576\n \n 101\n \n 31\n \n
\n 0.52\n 		\n
\n 176\n 		\n
\n 283.9\n 		\n
\n 7.47\n 		\n
\n 22.4\n 		\n
\n 6.3\n 		\n
\n 1.1\n 		\n
\n 28.2\n 		\n
\n 37\n 		\n
\n 243.3\n 		\n
\n 44.6\n 		\n 3.0\n \n \n
\n 45\n 		\n \n \n
\n Guinea-Bissau\n \n 667\n \n 81\n \n 37\n \n
\n 1.43\n 		\n
\n 361\n 		\n
\n 123.3\n 		\n
\n 2.12\n 		\n
\n 20.0\n 		\n
\n 4.0\n 		\n
\n 5.4\n 		\n
\n 31.1\n 		\n
\n 40\n 		\n
\n 214.7\n 		\n
\n 35.3\n 		\n 2.2\n \n \n
\n 88\n 		\n \n 88\n \n
\n Kenya\n \n 342\n \n 41\n \n 20\n \n
\n 1.02\n 		\n
\n 292\n 		\n
\n 70.1\n 		\n
\n 0.86\n 		\n
\n 13.4\n 		\n
\n 3.2\n 		\n
\n 2.8\n 		\n
\n 27.8\n 		\n
\n 55\n 		\n
\n 78.1\n 		\n
\n 51.2\n 		\n 1.8\n \n 11.8\n \n
\n 92\n 		\n 45\n \n 81\n \n
\n Lesotho\n \n 544\n \n 81\n \n 35\n \n
\n 7.80\n 		\n
\n 611\n 		\n \n
\n 1.64\n 		\n
\n 26.6\n 		\n
\n 21.2\n 		\n
\n 4.6\n 		\n
\n 28.9\n 		\n
\n 48\n 		\n
\n 177.6\n 		\n
\n 44.4\n 		\n 3.1\n \n 29.7\n \n
\n 93\n 		\n 82\n \n 93\n \n
\n Lbera\n \n 661\n \n 71\n \n 24\n \n
\n 0.39\n 		\n
\n 308\n 		\n
\n 361.5\n 		\n
\n 7.75\n 		\n
\n 17.6\n 		\n
\n 6.8\n 		\n
\n 6.1\n 		\n
\n 35.9\n 		\n
\n 39\n 		\n
\n 170.2\n 		\n
\n 41.5\n 		\n 1.8\n \n 8.4\n \n
\n 84\n 		\n \n 84\n \n
\n Madagascar\n \n 335\n \n 54\n \n 21\n \n
\n 0.24\n 		\n
\n 233\n 		\n
\n 82.4\n 		\n
\n 4.36\n 		\n
\n 22.9\n 		\n
\n 3.9\n 		\n
\n 2.0\n 		\n
\n 28.6\n 		\n
\n 28\n 		\n
\n 159.6\n 		\n
\n 30.2\n 		\n 3.3\n \n 28.9\n \n
\n 75\n 		\n \n 75\n \n
\n Malawi\n \n 349\n \n 50\n \n 22\n \n
\n 2.28\n 		\n
\n 181\n 		\n
\n 213.6\n 		\n
\n 3.03\n 		\n
\n 16.4\n 		\n
\n 3.7\n 		\n
\n 3.6\n 		\n
\n 31.0\n 		\n
\n 46\n 		\n
\n 115.0\n 		\n
\n 28.3\n 		\n 2.0\n \n 12.8\n \n
\n 92\n 		\n 72\n \n 92\n \n
\n Mali\n \n 562\n \n 98\n \n 33\n \n
\n 0.78\n 		\n
\n 53\n 		\n
\n 386.8\n 		\n
\n 4.88\n 		\n
\n 24.6\n 		\n
\n 4.8\n 		\n
\n 1.3\n 		\n
\n 23.1\n 		\n
\n 38\n 		\n
\n 209.1\n 		\n
\n 70.7\n 		\n 3.3\n \n 12.0\n \n
\n 71\n 		\n \n 68\n \n
\n Mauritania\n \n 766\n \n 76\n \n 33\n \n
\n 0.03\n 		\n
\n 93\n 		\n
\n 39.4\n 		\n
\n 4.29\n 		\n
\n 18.1\n 		\n
\n 4.4\n 		\n
\n <0.1\n 		\n
\n 24.7\n 		\n
\n 41\n 		\n
\n 169.5\n 		\n
\n 38.6\n 		\n 1.9\n \n \n
\n 81\n 		\n \n 77\n \n
\n Mauritius\n \n 611\n \n 16\n \n 9\n \n
\n 0.70\n 		\n
\n 13\n 		\n \n
\n 0.61\n 		\n
\n 22.6\n 		\n
\n 7.8\n 		\n
\n 4.3\n 		\n
\n 13.7\n 		\n
\n 63\n 		\n
\n 38.3\n 		\n
\n 0.6\n 		\n 0.1\n \n 26.9\n \n
\n 97\n 		\n 99\n \n 96\n \n 81\n
\n Mozambique\n \n 289\n \n 73\n \n 28\n \n
\n 5.25\n 		\n
\n 551\n 		\n
\n 305.4\n 		\n
\n 3.67\n 		\n
\n 18.4\n 		\n
\n 4.9\n 		\n
\n 2.3\n 		\n
\n 30.1\n 		\n
\n 46\n 		\n
\n 110.0\n 		\n
\n 27.6\n 		\n 2.9\n \n 14.4\n \n
\n 80\n 		\n 59\n \n 80\n \n
\n Namibia\n \n 195\n \n 40\n \n 16\n \n
\n 2.82\n 		\n
\n 524\n 		\n
\n 26.7\n 		\n
\n 0.66\n 		\n
\n 21.3\n 		\n
\n 8.7\n 		\n
\n 5.4\n 		\n
\n 30.4\n 		\n
\n 62\n 		\n
\n 145.0\n 		\n
\n 18.3\n 		\n 1.5\n \n 17.9\n \n
\n 89\n 		\n 50\n \n 61\n \n
\n Niger\n \n 509\n \n 84\n \n 25\n \n
\n 0.08\n 		\n
\n 87\n 		\n
\n 356.6\n 		\n
\n 6.01\n 		\n
\n 20.0\n 		\n
\n 4.6\n 		\n
\n 0.7\n 		\n
\n 26.2\n 		\n
\n 37\n 		\n
\n 251.8\n 		\n
\n 70.8\n 		\n 4.2\n \n 8.6\n \n
\n 79\n 		\n 48\n \n 79\n \n
\n Nigeria\n \n 917\n \n 120\n \n 36\n \n
\n 0.65\n 		\n
\n 219\n 		\n
\n 291.9\n 		\n
\n 2.61\n 		\n
\n 22.5\n 		\n
\n 9.5\n 		\n
\n 10.8\n 		\n
\n 21.4\n 		\n
\n 42\n 		\n
\n 307.4\n 		\n
\n 68.6\n 		\n 3.0\n \n 4.8\n \n
\n 57\n 		\n \n 57\n \n
\n Rwanda\n \n 248\n \n 35\n \n 16\n \n
\n 0.29\n 		\n
\n 59\n 		\n
\n 486.5\n 		\n
\n 1.74\n 		\n
\n 18.2\n 		\n
\n 6.7\n 		\n
\n 9.0\n 		\n
\n 29.7\n 		\n
\n 57\n 		\n
\n 121.4\n 		\n
\n 19.3\n 		\n 2.4\n \n 13.3\n \n
\n 97\n 		\n 96\n \n 97\n \n 84\n
\n Sao Tome and Principe\n \n 130\n \n 31\n \n 14\n \n
\n 0.07\n 		\n
\n 124\n 		\n
\n 13.9\n 		\n
\n 1.36\n 		\n
\n 18.5\n 		\n
\n 2.3\n 		\n
\n 5.9\n 		\n
\n 27.5\n 		\n
\n 55\n 		\n
\n 162.4\n 		\n
\n 11.4\n 		\n 0.9\n \n 5.4\n \n
\n 95\n 		\n 76\n \n 95\n \n 95\n
\n Senegal\n \n 315\n \n 44\n \n 21\n \n
\n 0.08\n 		\n
\n 118\n 		\n
\n 55.8\n 		\n
\n 3.48\n 		\n
\n 18.1\n 		\n
\n 6.0\n 		\n
\n 0.8\n 		\n
\n 23.4\n 		\n
\n 45\n 		\n
\n 160.7\n 		\n
\n 23.9\n 		\n 2.3\n \n 9.1\n \n
\n 81\n 		\n 63\n \n 81\n \n
\n Seychelles\n \n 53\n \n 14\n \n 9\n \n \n
\n 18\n 		\n \n
\n 0.15\n 		\n
\n 21.2\n 		\n
\n 9.3\n 		\n
\n 20.5\n 		\n
\n 15.9\n 		\n
\n 71\n 		\n
\n 49.3\n 		\n
\n 0.2\n 		\n 0.6\n \n 211\n \n
\n 99\n 		\n 97\n \n 16\n \n 99\n
\n Sierra Leone\n \n 1120\n \n 105\n \n 33\n \n
\n 0.55\n 		\n
\n 298\n 		\n
\n 320.4\n 		\n
\n 8.18\n 		\n
\n 30.5\n 		\n
\n 9.7\n 		\n
\n 5.7\n 		\n \n
\n 39\n 		\n
\n 324.1\n 		\n
\n 81.3\n 		\n 4.1\n \n 19.8\n \n
\n 90\n 		\n 55\n \n 90\n \n
\n South Africa\n \n 119\n \n 34\n \n 11\n \n
\n 4.94\n 		\n
\n 520\n 		\n
\n 1.7\n 		\n
\n 1.74\n 		\n
\n 26.2\n 		\n
\n 1.6\n 		\n
\n 9.5\n 		\n
\n 25.9\n 		\n
\n 31\n 		\n
\n 86.7\n 		\n
\n 13.7\n 		\n 1.2\n \n 31.4\n \n
\n 74\n 		\n 50\n \n 73\n \n 57\n
\n South Sudan\n \n 1150\n \n 99\n \n 40\n \n
\n 1.56\n 		\n
\n 146\n 		\n
\n 235.9\n 		\n
\n 21.13\n 		\n
\n 19.8\n 		\n
\n 3.7\n 		\n \n
\n 29.9\n 		\n
\n 69\n 		\n
\n 165.1\n 		\n
\n 63.3\n 		\n 4.0\n \n \n
\n 49\n 		\n \n \n
\n Togo\n \n 396\n \n 70\n \n 25\n \n
\n 0.70\n 		\n
\n 36\n 		\n
\n 267.3\n 		\n
\n 3.36\n 		\n
\n 23.6\n 		\n
\n 96\n 		\n
\n 2.5\n 		\n
\n 29.2\n 		\n
\n 43\n 		\n
\n 249.6\n 		\n
\n 41.6\n 		\n 2.4\n \n 1.6\n \n
\n 88\n 		\n \n 88\n \n
\n Ugonda\n \n 375\n \n 46\n \n 20\n \n
\n 1.4\n 		\n
\n 200\n 		\n
\n 289.2\n 		\n
\n 3.16\n 		\n
\n 21.9\n 		\n
\n 9.9\n 		\n
\n 15.1\n 		\n
\n 29.0\n 		\n
\n 45\n 		\n
\n 155.7\n 		\n
\n 31.6\n 		\n 3.2\n \n 9.8\n \n
\n 93\n 		\n \n 92\n \n 72\n
\n United Republic of Tanzania\n \n 524\n \n 53\n \n 21\n \n
\n 1.41\n 		\n
\n 253\n 		\n
\n 124.3\n 		\n
\n 169\n 		\n
\n 17.9\n 		\n
\n 5.4\n 		\n
\n 11.3\n 		\n
\n 29.2\n 		\n
\n 43\n 		\n
\n 139.0\n 		\n
\n 38.4\n 		\n 2.7\n \n 13.3\n \n
\n 98\n 		\n 84\n \n 98\n \n 16\n
\n Zambia\n \n 213\n \n 58\n \n 23\n \n
\n 2.97\n 		\n
\n 346\n 		\n
\n 156.7\n 		\n
\n 1.84\n 		\n
\n 17.9\n 		\n
\n 6.1\n 		\n
\n 6.5\n 		\n \n
\n 53\n 		\n
\n 127.2\n 		\n
\n 34.9\n 		\n 2.9\n \n 14.7\n \n
\n 90\n 		\n 65\n \n 90\n \n
\n Zimbabwe\n \n 458\n \n 46\n \n 21\n \n
\n 2.79\n 		\n
\n 210\n 		\n
\n 51.0\n 		\n
\n 4.38\n 		\n
\n 19.3\n 		\n
\n 10.7\n 		\n
\n 4.7\n 		\n
\n 34.7\n 		\n
\n 54\n 		\n
\n 133.0\n 		\n
\n 24.6\n 		\n 2.2\n \n 13.9\n \n
\n 89\n 		\n 78\n \n 89\n \n
\n$^{a}$ Comparable estimates refer to country values of the same reference year, which may be adiusted or modelled to allow comparisons between countries and are produced for countries with underlying\\nprimary data and,in some cases,for those without. Refer to Annex 2 forthe full set of SDG 3 indicators.Shading from blue to orange represents low to high for mortolity, incidence and prevalence indicators;\\nand from high to low for immunization coverage and service index indicators.\n$^{b}$ per 100 000 live births $^{e}$ per 100 000 population $^{h}$betweenages30-69(%) $^{k}$ age-standardized,among adults 18+(%) $^{n}$among15year-old girls(o)\n$^{c}$ per 1000 live births $^{f}$ per 1000 population at risk $^{i}$ litres of pure alcohol per capita ≥15years $^{l}$ among1-year-olds(%)\n$^{d}$ per 1000 uninfected population $^{g}$ among children under 5 years(%) $^{j}$ age-standardized, per 100 00 population $^{m}$ by the nationaly recommended age(%)\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_21", "image_path": "OTableR/img/en_21_who.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Summary of SDG 3 indicators for which country-level values are reported as comparable $estimates^{a}$\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Member State\n \n 3.1.1\n
\n Maternal mortality $ratio^{b}$\n
\n 2017\n 		\n 3.2.1\n
\n Under-five mortality $rate^{c}$\n
\n 2018\n 		\n 3.2.2\n
\n Neonatal mortality $rate^{c}$\n
\n 2018\n 		\n 3.3.1\n
\n New HIV $infections^{d}$\n
\n 2018\n 		\n 3.3.2\n
\n Tuberculosis $incidence^{e}$\n
\n 2018\n 		\n 3.3.3\n
\n Malaria $incidence^{f}$\n
\n 2018\n 		\n 3.3.4\n
\n Hepatitis B $prevalence^{g}$\n
\n 2015\n 		\n 3.4.1\n
\n Probability of dying from the\n
\n four maior $NCDs^{h}$\n
\n 2016\n 		\n 3.4.2\n
\n Suicide mortality $rate^{e}$\n
\n 2016\n 		\n 3.5.2\n
\n Alcohol consumption\n
\n 2018\n 		\n 3.6.1\n
\n Road traffic mortality $rate^{e}$\n
\n 2016\n 		\n 3.8.1\n
\n UHC service coverage index\n
\n 2017\n 		\n 3.9.1\n
\n Air pollution mortality $rate^{j}$\n
\n 2016\n 		\n 3.9.2\n
\n WASH mortality $rate^{e}$\n
\n 2016\n 		\n 3.9.3\n
\n Poisoning mortality $rate^{e}$\n
\n 2016\n 		\n 3.a.1\n
\n Tobacco use $prevalence^{k}$\n
\n 2018\n 		\n 3.b.1\n
\n DTP3 $immunization^{l}$\n
\n 2018\n 		\n 3.b.1\n
\n MCV2 $immunization^{m}$\n
\n 2018\n 		\n 3.b.1\n
\n PCV3 $immunization^{l}$\n
\n 2018\n 		\n 3.b.1\n
\n Hpv $vaccine^{n}$\n
\n 2018\n
\n Bangladesh\n \n 173\n \n 30\n \n 17\n \n 0.01\n \n 221\n \n 0.7\n \n 1.38\n \n 21.6\n \n 5.9\n \n <0.1\n \n 15.3\n \n 48\n \n 149.0\n \n 11.9\n \n 0.3\n \n 39.1\n \n 98\n \n 93\n \n 97\n \n
\n Bhutan\n \n 183\n \n 30\n \n 16\n \n 0.11\n \n 149\n \n <0.1\n \n 0.81\n \n 23.3\n \n 11.4\n \n 0.4\n \n 17.4\n \n 62\n \n 124.5\n \n 3.9\n \n 0.6\n \n \n 97\n \n 91\n \n \n 90\n
\n Democratic People's Republic of Korea\n \n 89\n \n 18\n \n 10\n \n \n 513\n \n 0.4\n \n 0.53\n \n 25.6\n \n 11.2\n \n 3.8\n \n \n 71\n \n 207.2\n \n 1.4\n \n 9\n \n 18.8\n \n 97\n \n 99\n \n \n
\n India\n \n 145\n \n 37\n \n 23\n \n \n 199\n \n 5.3\n \n 0.51\n \n 23.3\n \n 16.3\n \n 5.5\n \n 22.6\n \n 55\n \n 184.3\n \n 18.6\n \n 2.4\n \n 27.0\n \n 89\n \n 80\n \n 6\n \n
\n Indonesia\n \n 177\n \n 25\n \n 13\n \n 0.17\n \n 316\n \n 3.9\n \n 1.07\n \n 26.4\n \n 3.4\n \n 0.6\n \n 12.2\n \n 57\n \n 112.4\n \n 7.1\n \n 0.4\n \n 37.9\n \n 79\n \n 67\n \n 8\n \n 1\n
\n Maldives\n \n 53\n \n 9\n \n 5\n \n \n 33\n \n \n 0.19\n \n 13.4\n \n 2.3\n \n 2.2\n \n 0.9\n \n 62\n \n 25.6\n \n 0.3\n \n <0.1\n \n \n 99\n \n 99\n \n \n
\n Myanmar\n \n 250\n \n 46\n \n 23\n \n 0.20\n \n 338\n \n 3.4\n \n 2.03\n \n 24.2\n \n 7.8\n \n 5.1\n \n 19.9\n \n 61\n \n 156.4\n \n 12.6\n \n 1.4\n \n 45.5\n \n 91\n \n 87\n \n 91\n \n
\n Nepal\n \n 186\n \n 32\n \n 20\n \n 0.03\n \n 151\n \n 0.4\n \n 0.31\n \n 21.8\n \n 8.8\n \n 2.1\n \n 15.9\n \n 48\n \n 193.8\n \n 19.8\n \n 0.4\n \n 31.9\n \n 91\n \n 69\n \n 82\n \n
\n sriLanka\n \n 36\n \n 7\n \n 4\n \n 0.01\n \n 64\n \n \n 0.64\n \n 17.4\n \n 14.6\n \n 4.1\n \n 14.9\n \n 66\n \n 79.8\n \n 1.2\n \n 0.4\n \n 22.9\n \n 99\n \n 99\n \n \n 67\n
\n Thailand\n \n 37\n \n 9\n \n 5\n \n 0.09\n \n 153\n \n 0.4\n \n 0.17\n \n 14.5\n \n 14.4\n \n 8.3\n \n 32.7\n \n 80\n \n 61.5\n \n 3.5\n \n 0.4\n \n 22.8\n \n 97\n \n 87\n \n \n
\n Timor-Leste\n \n 142\n \n 46\n \n 20\n \n \n 498\n \n 0.0\n \n 0.87\n \n 19.9\n \n 4.6\n \n 2.2\n \n 12.7\n \n 52\n \n 139.8\n \n 9.9\n \n 0.4\n \n 38.2\n \n 83\n \n 54\n \n \n
\n$^{a}$ Comparable estimates refer to country values of the same reference year, which may be adiusted or modelled to allow comparisons between countries and are produced for countries with underlying\\nprimary data and,in some cases,for those without. Refer to Annex 2 forthe full set of SDG 3 indicators.Shading from blue to orange represents low to high for mortolity, incidence and prevalence indicators;\\nand from high to low for immunization coverage and service index indicators.\n$^{b}$ per 100 000 live births $^{e}$ per 100 000 population $^{h}$betweenages30-69(%) $^{k}$ age-standardized,among adults 18+(%) $^{n}$among15year-old girls(o)\n$^{c}$ per 1000 live births $^{f}$ per 1000 population at risk $^{i}$ litres of pure alcohol per capita ≥15years $^{l}$ among1-year-olds(%)\n$^{d}$ per 1000 uninfected population $^{g}$ among children under 5 years(%) $^{j}$ age-standardized, per 100 00 population $^{m}$ by the nationaly recommended age(%)\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_22", "image_path": "OTableR/img/en_22_who.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 3.c\n \n 3.d\n \n 1.a\n \n 2.2\n \n
\n Density of\n
\n $dentists^{x}$\n
\n (per10000\n
\n population)\n 		\n Density of\n
\n $pharmacists^{x}$\n
\n (per 10000\n
\n population)\n 		\n Average of 13\n
\n Interational\n
\n Heath\n
\n Regulations\n
\n core capacity\n
\n $scores^{y}$\n 		\n Domestic\n
\n general\n
\n government\n
\n health\n
\n expenditure\n
\n (GGHE-D)as\n
\n percentage\n
\n of general\n
\n government\n
\n expenditure\n
\n $(GGE)^{z}$(%)\n 		\n Prevalence\n
\n of stunting in\n
\n children\n
\n under $5^{aa}$(%)\n 		\n Prevalence\n
\n of wasting in\n
\n children\n
\n under $5^{aa}$(%)\n 		\n Prevalence of\n
\n overweight in\n
\n children\n
\n under $5^{aa}$(%)\n 		\n
\n Primary data\n \n Primary data\n \n Primary data\n \n Comparable\n
\n estimates\n 		\n Primary data\n \n Primary data\n \n Primary data\n \n
\n 2010-2019\n \n 2010-2018\n \n 2019\n \n 2017\n \n 2010-2019\n \n 2010-2019\n \n 2010-2019\n \n Member State\n
\n 5.0\n \n 7.0\n \n 95\n \n 11.0\n \n -\n \n -\n \n -\n \n Switzerland\n
\n 7.2\n \n 10.7\n \n 48\n \n -\n \n 27.9\n \n 11.5\n \n 17.9\n \n Syrian Arab Republic\n
\n 1.6\n \n -\n \n 62\n \n 5.9\n \n 17.5\n \n 5.6\n \n 3.3\n \n Tajikistan\n
\n 2.4\n \n 5.5\n \n 85\n \n 15.0\n \n 10.5\n \n 5.4\n \n 8.2\n \n Thailand\n
\n 0.1\n \n 1.9\n \n 37\n \n 5.2\n \n 51.7\n \n 9.9\n \n 1.6\n \n Timor-Leste\n
\n <0.1\n \n 0.3\n \n 39\n \n 5.1\n \n 23.8\n \n 5.0\n \n 1.5\n \n Togo\n
\n 1.6\n \n 0.4\n \n -\n \n 7.4\n \n 8.1\n \n 5.2\n \n 17.3\n \n Tonga\n
\n 3.2\n \n 6.6\n \n 53\n \n 11.2\n \n 9.2\n \n 6.4\n \n 11.4\n \n Trinidad and Tobago\n
\n 3.1\n \n 2.3\n \n 71\n \n 13.6\n \n 8.4\n \n 2.1\n \n 17.2\n \n Tunisia\n
\n 3.4\n \n 3.5\n \n 77\n \n 9.7\n \n 6.0\n \n 1.7\n \n 8.1\n \n Turkey\n
\n 1.2\n \n 1.7\n \n 69\n \n 8.7\n \n 11.5\n \n 4.2\n \n 5.9\n \n Turkmenistan\n
\n 4.6\n \n 2.7\n \n -\n \n 10.0\n \n -\n \n -\n \n -\n \n Tuvalu\n
\n 0.1\n \n <0.1\n \n 66\n \n 5.1\n \n 28.9\n \n 3.5\n \n 3.7\n \n Uganda\n
\n 6.0\n \n 0.3\n \n 66\n \n 7.4\n \n -\n \n -\n \n -\n \n Ukraine\n
\n 6.5\n \n 8.8\n \n 96\n \n 7.9\n \n -\n \n -\n \n -\n \n United Arab Emirates\n
\n 5.2\n \n 8.9\n \n 93\n \n 18.7\n \n -\n \n -\n \n -\n \n United Kingdom\n
\n 0.1\n \n 0.1\n \n 51\n \n 9.5\n \n 31.8\n \n 3.5\n \n 2.8\n \n United Republic of Tanzania\n
\n 5.8\n \n 9.2\n \n 92\n \n 22.5\n \n 3.5\n \n 0.4\n \n 9.4\n \n United States of America\n
\n 14.9\n \n -\n \n 84\n \n 19.8\n \n $10.7^{ar}$\n \n $1.3^{ar}$\n \n $7.2^{ar}$\n \n Uruguay\n
\n 1.5\n \n 0.4\n \n 57\n \n 10.2\n \n 10.8\n \n 1.8\n \n 4.6\n \n Uzbekistan\n
\n 0.3\n \n 1.2\n \n -\n \n 5.3\n \n 28.9\n \n 4.7\n \n 4.9\n \n Vanuatu\n
\n -\n \n -\n \n 70\n \n 1.4\n \n -\n \n -\n \n -\n \n Venezuela (Bolivarian Republic of)\n
\n -\n \n 3.4\n \n 66\n \n 9.5\n \n 23.8\n \n 5.8\n \n 5.9\n \n Viet Nam\n
\n 0.2\n \n 1.1\n \n 52\n \n -\n \n 46.4\n \n 16.4\n \n 2.5\n \n Yemen\n
\n <0.1\n \n 0.4\n \n 60\n \n 6.9\n \n 34.6\n \n 4.2\n \n 5.2\n \n Zambia\n
\n 0.1\n \n 1.0\n \n 50\n \n 15.2\n \n 23.5\n \n 2.9\n \n 2.5\n \n Zimbabwe\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_23", "image_path": "OTableR/img/en_23_who.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Maternal mortality\n
\n $ratio^{*}$(per 100 000\n
\n live births)\n 		\n Stillbirth rate\n
\n (deaths per 1000\n
\n births)\n 		\n Neonatal mortality\n
\n rate (deaths per\n
\n 1000 live births)\n 		\n Under-five\n
\n mortality rate\n
\n (deaths per 1000\n
\n live births)\n
\n Bangladesh\n \n 173\n \n 24\n \n 19\n \n 31\n
\n Bhutan\n \n 183\n \n 10\n \n 17\n \n 23\n
\n Democratic People's Republic of Korea\n \n 89\n \n 6\n \n 10\n \n 17\n
\n India\n \n 145\n \n 14\n \n 22\n \n 34\n
\n Indonesia\n \n 177\n \n 9\n \n 12\n \n 24\n
\n Maldives\n \n 53\n \n 6\n \n 5\n \n 8\n
\n Myanmar\n \n 250\n \n 14\n \n 22\n \n 45\n
\n Nepal\n \n 186\n \n 17\n \n 20\n \n 31\n
\n Sri Lanka\n \n 36\n \n 6\n \n 4\n \n 7\n
\n Thailand\n \n 37\n \n 6\n \n 5\n \n 9\n
\n Timor-Leste\n \n 142\n \n 13\n \n 20\n \n 44\n
\n South-East Asia Region\n \n 152\n \n 14\n \n 20\n \n 32\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_24", "image_path": "OTableR/img/en_24_who.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Platform/Vaccine/Manufacturer\n \n WHO emergency use listing\n
\n $date^{1}$\n 		\n Latest WHO SAGE\n
\n $recommendations^{2}$\n
\n Messenger Ribonucleic Acid (mRNA)\n
\n $COMIRNATY^{®}$(Pfizer BioNTech)\n \n 31 Dec 2020\n \n 21 Jan 2022\n
\n $SPIKEVAX^{®}$(Moderna)\n \n 30 Apr 2021\n \n 23 Feb 2022\n
\n Recombinant viral vector\n
\n $COVISHIELD^{®}$$(Serum Institute of India)^{3}$\n \n 15 Feb 2021\n \n 15 Mar 2022\n
\n $VAXZEVRIA^{®}$$(AstraZeneca)^{3}$\n \n 16 Apr 2021\n
\n $Ad26.COV 2-S^{®}$(Janssen)\n \n 12 Mar 2021\n \n 9 Dec 2021\n
\n Inactivated virus\n
\n $Inactivated SARS-CoV-2 vaccine^{®}$(BIBP/Sinopharm)\n \n 7 May 2021\n \n 15 Mar 2022\n
\n $CORONAVAC^{®}$(Sinovac Life Sciences)\n \n 1 Jun 2021\n \n 15 Mar 2022\n
\n $COVAXIN^{®}$(Bharat Biotech)\n \n 3 Nov 2021\n \n 15 Mar 2022\n
\n Recombinant spike protein nanoparticle\n
\n $COVOVAX^{®}$$(Serum Institute of India)^{3}$\n \n 17 Dec 2021\n \n 20 Dec 2021\n
\n $NUVAXOVID^{®}$$(Novavax,Inc.)^{3}$\n \n 20 Dec 2021\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_25", "image_path": "OTableR/img/en_25_ilo.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Challenges\n
\n rendering\n
\n households\n
\n vulnerable\n
\n to poverty\n 		\n General\n
\n poverty\n
\n and\n
\n vulnerability\n 		\n Individual\n
\n shocks\n 		\n Collective\n
\n shocks\n 		\n Injury\n
\n and illness\n 		\n Lack of\n
\n school\n
\n access, high\n
\n costs of\n
\n schooling\n 		\n Job loss\n \n Long-term\n
\n disability\n 		\n Income\n
\n insecurity\n
\n assiociated\n
\n with old age\n
\n Child and family benefits\n
\n Quasi-universal\n
\n or universal\n
\n child benefits,\n
\n including\n
\n universal\n
\n benefits for\n
\n children vith\n
\n disabilities\n 		\n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n High probability of a proactive impact on child well-being\n
\n The other eight life-cycle social protection benefits\n
\n Unemployment\n
\n protection\n 		\n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n \n \n Evidence of child poverty and child well-being impact exists\n \n \n
\n Maternity\n
\n protection\n 		\n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n \n Evidence of child poverty and child well-being impact exists\n \n \n \n \n
\n Old-age\n
\n pensions\n 		\n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n \n \n High probability of a proactive impact on child well-being\n \n \n Evidence of child poverty and child well-being impact exists\n
\n Disability\n
\n protection\n 		\n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n
\n Social health\n
\n protection\n 		\n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n
\n Sickness\n
\n benefits\n 		\n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n High probability of a proactive impact on child well-being\n \n \n High probability of a proactive impact on child well-being\n \n \n
\n Employment\n
\n injury\n
\n compensation\n 		\n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n \n Evidence of child poverty and child well-being impact exists\n \n \n High probability of a proactive impact on child well-being\n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n
\n Survivors'\n
\n benefits\n
\n (especially\n
\n through orphan\n
\n benefits\n 		\n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n \n \n High probability of a proactive impact on child well-being\n \n Evidence of child poverty and child well-being impact exists\n \n \n Evidence of child poverty and child well-being impact exists\n \n Evidence of child poverty and child well-being impact exists\n
\nEvidence of child poverty and child well-being impact exists\nHigh probability of a proactive impact on child well-being\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_26", "image_path": "OTableR/img/en_26_ilo.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table A3.1 Main requirements:ILo social security standards on health protection\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Convention No.102:\n
\n Minimum standards\n 		\n Convention $No.130^{3}$\n
\n and Recommendation $No.134^{b}$:\n
\n Advanced standards\n 		\n Recommendation No.202:\n
\n Basic protection\n
\n What should\n
\n be covered?\n 		\n Any ill-health condition, whatever its\n
\n cause;pregnancy, childbirth and their\n
\n consequences.\n 		\n The need for medical care of a curative and\n
\n preventive nature.\n 		\n Any condition requiring healthcare,\n
\n including maternity.\n
\n Who should\n
\n be covered?\n 		\n At least:\n
\n ▶ 50% of all employees, and wives and\n
\n children;or\n
\n ▶ categories of the economically active\n
\n population(forming not less than 20% of\n
\n all residents, and wives and children); or\n
\n ▶ 50% of all residents.\n 		\n C.130: Allemployees,including apprentices,\n
\n and their wives and children; or\n
\n ▶ categories ofthe active population\n
\n forming not less than 75% of the whole\n
\n active population, and their wives and\n
\n children; or\n
\n ▶ prescribed class(es) of residents forming\n
\n not less than 75% of all residents.\n
\n (Persons already receiving certain social\n
\n security benefits shall also continue to be\n
\n protected under prescribed conditions.)\n
\n R.134: In addition:persons in casual\n
\n employment and their families, members of\n
\n employers' families living in their house and\n
\n working for them, all economically active\n
\n persons and their families, all residents.\n 		\n At least allresidents and children, subject\n
\n to the country's existing international\n
\n obligations.\n
\n What should\n
\n the benefit be?\n 		\n In case ofill health: general practitioner\n
\n care, specialist care at hospitals, essential\n
\n medications and supplies; hospitalization if\n
\n necessary.\n
\n In case of pregnancy, childbirth and their\n
\n consequences: prenatal, childbirth and\n
\n postnatal care by medical practitioners\n
\n and qualified midwives; hospitalization if\n
\n necessary.\n 		\n C.130: The medical care required by\n
\n the person's condition, with a view to\n
\n maintaining, restoring or improving\n
\n health and ability to work and attend\n
\n to personal needs, including at least:\n
\n general practitioner care, specialist care\n
\n at hospitals, alied care and benefits,\n
\n essential medical supplies, hospitalization\n
\n if necessary, dental care and medical\n
\n rehabilitation.\n
\n R.134: Also the supplyofmedical aids(for\n
\n example, eyeglasses) and services for\n
\n convalescence.\n 		\n Goods and services constituting at least\n
\n essential healthcare, including maternity\n
\n care, meeting accessibility, availability,\n
\n acceptability and quality criteria; free\n
\n prenatal and postnatal medical care for the\n
\n most vulnerable; higher levels of protection\n
\n should be provided to as many people as\n
\n possible, as soon as possible.\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_27", "image_path": "OTableR/img/en_27_ilo.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "▶ Annex 6 (cont'd)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Country/\n
\n territory\n 		\n Total expend-\n
\n iture on social\n
\n protection\n
\n (including\n
\n healthcare)\n 		\n Domestic\n
\n general\n
\n government\n
\n health\n
\n expenditure,\n
\n WH0(2021)\n 		\n Total\n
\n expenditure\n
\n on social\n
\n protection\n
\n (excluding\n
\n $healthcare)^{1}$\n 		\n Expenditure on social protection systems\n
\n including floors, by broad age group\n 		\n Year\n \n Source\n
\n $Children^{2}$\n \n $Working age^{3}$\n \n Old $age^{4}$\n
\n Africa\n
\n Northern Africa\n
\n Algeria\n \n 10.9\n \n 3.3\n \n 7.7\n \n 0.0\n \n 4.5\n \n 3.2\n \n 2024 $^{p}$\n \n National\n
\n Egypt\n \n 11.2\n \n 1.7\n \n 9.5\n \n …\n \n 2.2\n \n 5.4\n \n 2015\n \n IMF\n
\n Libya\n \n 5.6\n \n 2.5\n \n 3\n \n 2.0\n \n 0.2\n \n 1.1\n \n 2023\n \n National\n
\n Morocco\n \n 9.2\n \n 2.2\n \n 6.9\n \n 2.1\n \n 2.5\n \n 2.3\n \n 2021\n \n National\n
\n Sudan\n \n 1.0\n \n 0.8\n \n 0.2\n \n …\n \n …\n \n …\n \n 2021\n \n National\n
\n Tunisia\n \n 11.6\n \n 4.1\n \n 7.5\n \n …\n \n 0.6\n \n 6.9\n \n 2015 $^{a}$\n \n National\n
\n Sub-Saharan Africa\n
\n Angola\n \n 3.1\n \n 1.7\n \n 1.4\n \n 0.0\n \n 0.0\n \n 1.4\n \n 2019 $^{b}$\n \n IMF\n
\n Benin\n \n 1.4\n \n 0.3\n \n 1.1\n \n …\n \n 0.3\n \n 0.8\n \n 2023 $^{p}$\n \n National\n
\n Botswana\n \n 5.2\n \n 4.8\n \n 0.4\n \n 0.0\n \n 0.0\n \n 0.4\n \n 2022 $^{b}$\n \n IMF\n
\n Burkina Faso\n \n 2.9\n \n 2.7\n \n 0.2\n \n 0.0\n \n 0.2\n \n 0.0\n \n 2022 $^{b}$\n \n IMF\n
\n Burundi\n \n 2.2\n \n 2.2\n \n …\n \n …\n \n …\n \n …\n \n …\n \n National\n
\n Cabo Verde\n \n 10.8\n \n 4.7\n \n 6.0\n \n …\n \n …\n \n …\n \n 2020 $^{b}$\n \n IMF\n
\n Cameroon\n \n 0.6\n \n 0.5\n \n 0.1\n \n …\n \n …\n \n …\n \n 1994 $^{c}$\n \n IMF\n
\n Central African\n
\n Republic\n 		\n 1.3\n \n 1.3\n \n 0.0\n \n …\n \n …\n \n …\n \n 2023\n \n National\n
\n Chad\n \n 1.1\n \n 0.9\n \n 0.2\n \n …\n \n …\n \n 0.2\n \n 2022 $^{d}$\n \n National\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_28", "image_path": "OTableR/img/en_28_ilo.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Country/territory\n \n SDG 1.3.1 - Populationcovered\n
\n by at least one socialprotectior\n
\n benefit$(excluding health)^{1}$\n 		\n People protected by social protection systems including floors\n \n SDG3.8.1\n
\n - Universal\n
\n health\n
\n coverage\n
\n $(WHO)^{10}$\n
\n \n By sex\n \n By type of\n
\n scheme14\n 		\n \n Children$(0-15)^{2}$\n \n Children$(0-18)^{3}$\n \n Mothers\n
\n wth\n
\n $newborns^{4}$\n 		\n Workers in case\n
\n of work $injury^{5}$\n 		\n Persons with severe\n
\n $disabilities^{6}$\n 		\n $Unemployed^{7}$\n \n Older $persons^{8}$\n \n Vulnerable\n
\n persons\n
\n receiving\n
\n social\n
\n assistanc\n
\n $benefits^{9}$\n
\n \n Total\n \n Men\n \n Women\n \n Contributory\n \n Tax-financed\n \n Year\n \n Total\n \n Boys\n \n Girls\n \n Year\n \n Total\n \n Boys\n \n Girls\n \n Year\n \n Women\n \n Year\n \n Total\n \n Men\n \n Women\n \n Year\n \n Total\n \n Men\n \n Women\n \n Year\n \n Total\n \n Men\n \n Women\n \n Year\n \n Total\n \n Men\n \n Women\n \n Year\n \n Total\n \n Men\n \n Women\n \n Year\n \n Total\n \n Year\n
\n Iran (lslamic Republicof)\n \n 100.0\n \n 100.0\n \n 100.0\n \n
\n 19.7\n 		\n
\n 86.9\n 		\n
\n 2023\n 		\n
\n 86.9\n 		\n …\n \n …\n \n
\n 2019\n 		\n
\n 87.0\n 		\n …\n \n …\n \n
\n 2019\n 		\n
\n 20.4\n 		\n 2023\n \n 45.9\n \n 55.4\n \n 4.8\n \n
\n 2023\n 		\n
\n 8.7\n 		\n …\n \n …\n \n
\n 2023\n 		\n
\n 5.3\n 		\n
\n 5.1\n 		\n
\n 5.8\n 		\n
\n 2023\n 		\n
\n 87.2\n 		\n …\n \n …\n \n
\n 2019\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2019\n 		\n
\n 74.3\n 		\n
\n 2021\n
\n Maldives\n \n 30.1\n \n …\n \n …\n \n
\n 21.3\n 		\n
\n 8.8\n 		\n
\n 2021\n 		\n
\n 8.2\n 		\n …\n \n …\n \n
\n 2019\n 		\n …\n \n …\n \n …\n \n …\n \n
\n 26.3\n 		\n 2021 $^{c}$\n \n …\n \n …\n \n …\n \n …\n \n
\n 63.8\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 0.0\n 		\n
\n 0.0\n 		\n
\n 0.0\n 		\n
\n 2022\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2021\n 		\n
\n 11.2\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 61.4\n 		\n
\n 2021\n
\n Nepal\n \n 21.0\n \n 19.8\n \n 22.1\n \n
\n 2.9\n 		\n
\n 18.1\n 		\n
\n 2022\n 		\n
\n 27.5\n 		\n
\n 27.3\n 		\n
\n 27.3\n 		\n
\n 2021\n 		\n
\n 25.4\n 		\n
\n 25.3\n 		\n
\n 25.4\n 		\n
\n 2021\n 		\n
\n 1.0\n 		\n 2021\n \n 7.1\n \n 8.3\n \n 5.1\n \n
\n 2022\n 		\n
\n 27.5\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 0.0\n 		\n
\n 0.0\n 		\n
\n 0.0\n 		\n
\n 2022\n 		\n
\n 77.2\n 		\n
\n 71.7\n 		\n
\n 82.1\n 		\n
\n 2021 $^{h}$\n 		\n
\n 18.6\n 		\n
\n 16.1\n 		\n
\n 20.8\n 		\n
\n 2021\n 		\n
\n 53.7\n 		\n
\n 2021\n
\n Pakistan\n \n 20.2\n \n …\n \n …\n \n
\n 3.9\n 		\n
\n 16.3\n 		\n
\n 2022\n 		\n
\n 5.2\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 4.4\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 5.3\n 		\n 2021 $^{c}$\n \n 2.8\n \n 2.8\n \n 2.7\n \n
\n 2021\n 		\n
\n 9.5\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 0.0\n 		\n
\n 0.0\n 		\n
\n 0.0\n 		\n
\n 2022\n 		\n
\n 17.4\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 17.1\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 45.2\n 		\n
\n 2021\n
\n SriLanka\n \n 41.3\n \n …\n \n …\n \n
\n 18.8\n 		\n
\n 22.5\n 		\n
\n 2021\n 		\n
\n 36.1\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 29.9\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 77.8\n 		\n 2021\n \n 36.6\n \n 37.5\n \n 34.8\n \n
\n 2021 $^{c}$\n 		\n
\n 17.8\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 0.0\n 		\n
\n 0.0\n 		\n
\n 0.0\n 		\n
\n 2022\n 		\n
\n 31.1\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 27.7\n 		\n …\n \n …\n \n
\n 2020\n 		\n
\n 66.7\n 		\n
\n 2021\n
\n Europe and Central Asia\n
\n Central and Western Asia\n
\n Armenia\n \n 49.2\n \n …\n \n …\n \n
\n 35.6\n 		\n
\n 13.6\n 		\n
\n 2021\n 		\n
\n 31.8\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 27.1\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 61.2\n 		\n 2021\n \n 33.5\n \n 37.0\n \n 30.4\n \n
\n 2021 $^{c}$\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2021\n 		\n
\n 0.0\n 		\n
\n 0.0\n 		\n
\n 0.0\n 		\n
\n 2022\n 		\n
\n 81.9\n 		\n
\n 86.6\n 		\n
\n 79.3\n 		\n
\n 2021\n 		\n
\n 21.1\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 68.2\n 		\n
\n 2021\n
\n Azerbajan\n \n 35.2\n \n …\n \n …\n \n
\n 27.6\n 		\n
\n 7.6\n 		\n
\n 2023\n 		\n
\n 10.3\n 		\n …\n \n …\n \n
\n 2023\n 		\n
\n 8.6\n 		\n …\n \n …\n \n
\n 2023\n 		\n
\n 28.5\n 		\n 2022\n \n 33.1\n \n 39.7\n \n 26.5\n \n
\n 2022\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2023\n 		\n
\n 1.6\n 		\n
\n 2.6\n 		\n
\n 0.8\n 		\n
\n 2016\n 		\n
\n 97.0\n 		\n
\n 100.0\n 		\n
\n 94.2\n 		\n
\n 2023\n 		\n
\n 10.6\n 		\n …\n \n …\n \n
\n 2023\n 		\n
\n 65.7\n 		\n
\n 2021\n
\n Cyprus\n \n 98.8\n \n …\n \n …\n \n
\n 76.9\n 		\n
\n 21.9\n 		\n
\n 2022\n 		\n 100.0\n \n 100.0\n \n 100.0\n \n
\n 2022\n 		\n
\n 84.1\n 		\n 84.2\n \n 84.0\n \n
\n 2022\n 		\n
\n 82.3\n 		\n 2022\n \n 77.7\n \n 75.5\n \n 80.2\n \n
\n 2022\n 		\n
\n 18.6\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 21.6\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 92.7\n 		\n
\n 100.0\n 		\n
\n 83.6\n 		\n
\n 2022\n 		\n
\n 74.5\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 80.7\n 		\n
\n 2021\n
\n Georgia\n \n 94.6\n \n …\n \n …\n \n
\n 31.6\n 		\n
\n 62.9\n 		\n
\n 2022\n 		\n
\n 30.2\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 25.9\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 26.8\n 		\n 2019\n \n 45.5\n \n 42.4\n \n 49.1\n \n
\n 2021\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2022\n 		\n
\n 0.0\n 		\n
\n 0.0\n 		\n
\n 0.0\n 		\n
\n 2022\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2022\n 		\n
\n 92\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 68.2\n 		\n
\n 2021\n
\n Israel\n \n 100.0\n \n 100.0\n \n 100.0\n \n
\n 78.5\n 		\n
\n 34.6\n 		\n
\n 2022\n 		\n 100.0\n \n 100.0\n \n 100.0\n \n
\n 2021\n 		\n 100.0\n \n 100.0\n \n 100.0\n \n
\n 2021\n 		\n
\n 77.4\n 		\n 2022\n \n 100.0\n \n 100.0\n \n 100.0\n \n
\n 2022\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2022\n 		\n
\n 42.8\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2022\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2022\n 		\n
\n 85.5\n 		\n
\n 2021\n
\n Kazakhstan\n \n 94.3\n \n …\n \n …\n \n
\n 70.4\n 		\n
\n 24.0\n 		\n
\n 2023\n 		\n
\n 54.4\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 47.1\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 51.1\n 		\n 2022\n \n 71.9\n \n …\n \n …\n \n
\n 2022 $^{c}$\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2022\n 		\n
\n 23.2\n 		\n
\n 28.1\n 		\n
\n 19.3\n 		\n
\n 2022\n 		\n
\n 95.7\n 		\n
\n 97.5\n 		\n
\n 94.9\n 		\n
\n 2023\n 		\n
\n 75.1\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 80.3\n 		\n
\n 2021\n
\n Kyrgyzstan\n \n 42.9\n \n …\n \n …\n \n
\n 36.1\n 		\n
\n 6.8\n 		\n
\n 2022\n 		\n
\n 16\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 14.0\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 35.6\n 		\n 2021 $^{c}$\n \n 58.3\n \n 59.7\n \n 56.4\n \n
\n 2021 $^{c}$\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2022\n 		\n
\n 0.3\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2022\n 		\n
\n 10.7\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 68.5\n 		\n
\n 2021\n
\n Tajikistan\n \n 29.8\n \n 29.4\n \n 30.2\n \n
\n 16.4\n 		\n
\n 13.4\n 		\n
\n 2021\n 		\n
\n 15.6\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 13.5\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 10.0\n 		\n 2021\n \n 0.0\n \n 0.0\n \n 0.0\n \n
\n 2021\n 		\n
\n 53.9\n 		\n 64.3\n \n 43.4\n \n
\n 2021\n 		\n
\n 6.5\n 		\n
\n 7.9\n 		\n
\n 3.6\n 		\n
\n 2021\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2021\n 		\n
\n 13.8\n 		\n
\n 13.9\n 		\n
\n 13.7\n 		\n
\n 2021\n 		\n
\n 67.3\n 		\n
\n 2021\n
\n Turkmenistan\n \n 42.7\n \n …\n \n …\n \n
\n 36.1\n 		\n
\n 6.6\n 		\n
\n 2021\n 		\n
\n 14.5\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 12.6\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 38.6\n 		\n 2021\n \n 52.6\n \n …\n \n …\n \n
\n 2019\n 		\n
\n 84.6\n 		\n 77.8\n \n 91.4\n \n
\n 2021\n 		\n …\n \n …\n \n …\n \n …\n \n
\n 77.2\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 10.3\n 		\n
\n 1.8\n 		\n
\n 12.7\n 		\n
\n 2021\n 		\n
\n 74.7\n 		\n
\n 2021\n
\n Turkiye\n \n 64.0\n \n …\n \n …\n \n
\n 48.5\n 		\n
\n 15.5\n 		\n
\n 2022\n 		\n
\n 37.4\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 27.6\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 62.7\n 		\n 2022\n \n 76.5\n \n 77.1\n \n 75.2\n \n
\n 2022\n 		\n
\n 44\n 		\n 54.6\n \n 33.4\n \n
\n 2022\n 		\n
\n 2.5\n 		\n
\n 2.9\n 		\n
\n 1.9\n 		\n
\n 2022\n 		\n
\n 85.9\n 		\n
\n 77.2\n 		\n
\n 69.4\n 		\n
\n 2022\n 		\n
\n 31.7\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 75.6\n 		\n
\n 2021\n
\n Uzbekistan\n \n 56.0\n \n …\n \n …\n \n
\n 26.5\n 		\n
\n 29.5\n 		\n
\n 2022\n 		\n
\n 51\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 44.2\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 6.3\n 		\n 2022\n \n 44.1\n \n …\n \n …\n \n
\n 2019\n 		\n
\n 44.5\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 6.0\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 100.0\n 		\n
\n 85.9\n 		\n
\n 100.0\n 		\n
\n 2021\n 		\n
\n 40.2\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 74.8\n 		\n
\n 2021\n
\n Eastern Europe\n
\n Belarus\n \n 36.0\n \n …\n \n …\n \n …\n \n …\n \n
\n 2019\n 		\n …\n \n …\n \n …\n \n …\n \n …\n \n …\n \n …\n \n …\n \n
\n 100.0\n 		\n 2020\n \n 70.9\n \n …\n \n …\n \n
\n 2019\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2020\n 		\n
\n 44.6\n 		\n …\n \n …\n \n
\n 2015\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2020\n 		\n …\n \n …\n \n …\n \n …\n \n
\n 78.6\n 		\n
\n 2021\n
\n Bulgaria\n \n 82.8\n \n …\n \n …\n \n
\n 74.3\n 		\n
\n 8.5\n 		\n
\n 2022\n 		\n
\n 61\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 50.7\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 100.0\n 		\n 2022\n \n 85.1\n \n …\n \n …\n \n
\n 2022\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2022\n 		\n
\n 39.4\n 		\n
\n 29.7\n 		\n
\n 52.2\n 		\n
\n 2022\n 		\n
\n 93.0\n 		\n
\n 100.0\n 		\n
\n 87.5\n 		\n
\n 2022\n 		\n
\n 37.7\n 		\n …\n \n …\n \n
\n 2022\n 		\n
\n 73.5\n 		\n
\n 2021\n
\n Czechia\n \n 78.9\n \n …\n \n …\n \n
\n 73.3\n 		\n
\n 5.7\n 		\n
\n 2023\n 		\n
\n 41.6\n 		\n …\n \n …\n \n
\n 2023\n 		\n
\n 19.5\n 		\n …\n \n …\n \n
\n 2023\n 		\n
\n 100.0\n 		\n 2022\n \n 65.8\n \n …\n \n …\n \n
\n 2021\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2022\n 		\n
\n 56.6\n 		\n …\n \n …\n \n
\n 2021\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 100.0\n 		\n
\n 2021\n 		\n
\n 22.4\n 		\n …\n \n …\n \n
\n 2023\n 		\n
\n 84.2\n 		\n
\n 2021\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_29", "image_path": "OTableR/img/en_29_ilo.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Figure 1.2.GDP growth outlook(percentage change)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 2020\n \n 2021\n \n 2022\n \n 2023\n \n 2024\n \n 2025\n
\n World\n \n -3.0\n \n 6.2\n \n 3.4\n \n 2.9\n \n 2.9\n \n 3.2\n
\n Low-income countries\n \n -0.5\n \n 2.2\n \n 2.9\n \n 0.6\n \n 3.7\n \n 5.1\n
\n Lower-middle-income countries\n \n -3.1\n \n 6.2\n \n 5.1\n \n 4.6\n \n 5.1\n \n 5.4\n
\n Upper-middle-income countries\n \n -1.3\n \n 7.3\n \n 3.1\n \n 4.0\n \n 3.5\n \n 3.5\n
\n High-income countries\n \n -4.3\n \n 5.6\n \n 3.0\n \n 1.5\n \n 1.6\n \n 2.0\n
\nNote: GDP estimates are based on constant 2017 international UsD.\nSource: Authors'calculations based on IMF(2023).\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_2", "image_path": "OTableR/img/en_2_visme.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Morning\n \n Afternoon\n \n Evening\n
\n Cooking breakfast\n
\n and enjoying\n
\n delicious food\n 		\n Take a short break\n
\n and relax\n 		\n Prepare delicious\n
\n meals with care\n
\n Freshen up and then\n
\n apply a lovely\n
\n makeup\n 		\n Hold company\n
\n meetingsand\n
\n brainstorm\n 		\n Pray with family\n
\n and have dinner\n
\n together\n
\n Go for a jog in the\n
\n park and\n
\n experience nature\n 		\n Focus intently on\n
\n completing work\n 		\n Go out to meet and\n
\n chat with friends\n
\n Meditation and yoga\n \n Enjoy afternoon tea\n
\n to unwind\n 		\n Watch favorite TV\n
\n shows\n
\n Reading books &\n
\n analyzing financial\n
\n reports\n 		\n Organize andsummarize\n
\n learned knowledge and\n
\n work progress\n 		\n Read quietly and\n
\n prepare for bed\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_30", "image_path": "OTableR/img/en_30_ilo.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table 2.1. Estimates and projections of working hours, employment, unemployment\\nand labourforce, regional and subregional, Africa, 2010-25\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Region/\n
\n subregion\n 		\n Mean weekly hours worked\n
\n per person employed\n 		\n Total weekly hours in full-time equivalent jobs\n
\n (FTE = 48 hours/week)(millions)\n
\n 2010\n \n 2019\n \n 2022\n \n 2023\n \n 2024\n \n \n 2010\n \n 2019\n \n 2022\n \n 2023\n \n 2024\n \n
\n Africa\n \n 38.8\n \n 39.0\n \n 39.1\n \n 39.0\n \n 39.0\n \n \n 296\n \n 372\n \n 406\n \n 418\n \n 430\n \n
\n North Africa\n \n 44.7\n \n 44.0\n \n 44.0\n \n 44.0\n \n 44.0\n \n \n 56\n \n 60\n \n 64\n \n 65\n \n 66\n \n
\n Sub-Saharan Africa\n \n 37.6\n \n 38.2\n \n 38.3\n \n 38.2\n \n 38.2\n \n \n 241\n \n 312\n \n 342\n \n 353\n \n 363\n \n
\n \n Employment-to-population ratio\n
\n (percentages)\n 		\n Employment\n
\n (millions)\n
\n \n 2010\n \n 2019\n \n 2022\n \n 2023\n \n 2024\n \n 2025\n \n 2010\n \n 2019\n \n 2022\n \n 2023\n \n 2024\n \n 2025\n
\n Africa\n \n 59.5\n \n 58.2\n \n 58.4\n \n 58.6\n \n 58.7\n \n 58.8\n \n 367\n \n 458\n \n 498\n \n 514\n \n 529\n \n 545\n
\n North Africa\n \n 42.8\n \n 39.1\n \n 39.7\n \n 39.6\n \n 39.6\n \n 39.8\n \n 60\n \n 65\n \n 70\n \n 71\n \n 72\n \n 74\n
\n Sub-Saharan Africa\n \n 64.5\n \n 63.3\n \n 63.2\n \n 63.5\n \n 63.5\n \n 63.5\n \n 307\n \n 393\n \n 429\n \n 443\n \n 457\n \n 471\n
\n \n Unemployment rate\n
\n (percentages)\n 		\n Unemployment\n
\n (millions)\n
\n \n 2010\n \n 2019\n \n 2022\n \n 2023\n \n 2024\n \n 2025\n \n 2010\n \n 2019\n \n 2022\n \n 2023\n \n 2024\n \n 2025\n
\n Africa\n \n 6.7\n \n 6.8\n \n 6.7\n \n 6.6\n \n 6.6\n \n 6.5\n \n 26.2\n \n 33.2\n \n 35.8\n \n 36.4\n \n 37.1\n \n 37.7\n
\n North Africa\n \n 10.5\n \n 11.4\n \n 10.9\n \n 11.3\n \n 11.3\n \n 10.9\n \n 7.0\n \n 8.3\n \n 8.5\n \n 9.0\n \n 9.2\n \n 9.1\n
\n Sub-Saharan Africa\n \n 5.9\n \n 5.9\n \n 6.0\n \n 5.8\n \n 5.8\n \n 5.7\n \n 19.1\n \n 24.8\n \n 27.2\n \n 27.4\n \n 27.9\n \n 28.6\n
\n \n Labour force participation rate\n
\n (percentages)\n 		\n Labour force\n
\n (millions)\n
\n \n 2010\n \n 2019\n \n 2022\n \n 2023\n \n 2024\n \n 2025\n \n 2010\n \n 2019\n \n 2022\n \n 2023\n \n 2024\n \n 2025\n
\n Africa\n \n 63.8\n \n 62.4\n \n 62.6\n \n 62.8\n \n 62.8\n \n 62.8\n \n 393\n \n 491\n \n 534\n \n 550\n \n 566\n \n 583\n
\n North Africa\n \n 47.8\n \n 44.1\n \n 44.6\n \n 44.6\n \n 44.6\n \n 44.7\n \n 67\n \n 73\n \n 78\n \n 80\n \n 81\n \n 83\n
\n Sub-Saharan Africa\n \n 68.5\n \n 67.3\n \n 67.2\n \n 67.4\n \n 67.4\n \n 67.4\n \n 326\n \n 417\n \n 456\n \n 471\n \n 48\n \n 500\n
\nSource: ILOSTAT, ILO modelled estimates, November 2023.\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_31", "image_path": "OTableR/img/en_31_ilo.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table C9. Latin America and the Caribbean (cont'd)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Indicator\n \n Group\n \n Unit\n \n 2000\n \n 2010\n \n 2019\n \n 2020\n \n 2021\n \n 2022\n \n 2023\n \n 2024\n
\n Youth NEET\n \n Total\n \n Millions\n \n \n 21.8\n \n 23.1\n \n 26.0\n \n 23.3\n \n 21.6\n \n \n
\n Women\n \n Millions\n \n \n 15.0\n \n 15.3\n \n 16.3\n \n 15.1\n \n 14.1\n \n \n
\n Men\n \n Millions\n \n \n 6.7\n \n 7.9\n \n 9.7\n \n 8.3\n \n 7.5\n \n \n
\n Youth NEET rate\n \n Total\n \n Per cent\n \n \n 20.2\n \n 21.5\n \n 24.3\n \n 21.8\n \n 20.3\n \n \n
\n Women\n \n Per cent\n \n \n 28.2\n \n 28.7\n \n 30.9\n \n 28.6\n \n 26.9\n \n \n
\n Men\n \n Per cent\n \n \n 12.4\n \n 14.4\n \n 17.8\n \n 15.3\n \n 13.9\n \n \n
\n Informal employment\n \n Total\n \n Millions\n \n \n 142.9\n \n 153.2\n \n 137.7\n \n 149.4\n \n 157.4\n \n \n
\n Women\n \n Millions\n \n \n 57.2\n \n 61.8\n \n 53.6\n \n 58.8\n \n 63.2\n \n \n
\n Men\n \n Millions\n \n \n 85.7\n \n 91.5\n \n 84.2\n \n 90.6\n \n 94.3\n \n \n
\n Informality rate\n \n Total\n \n Per cent\n \n \n 56.8\n \n 53.6\n \n 52.4\n \n 53.5\n \n 53.7\n \n \n
\n Women\n \n Per cent\n \n \n 56.9\n \n 52.6\n \n 50.7\n \n 52.0\n \n 52.4\n \n \n
\n Men\n \n Per cent\n \n \n 56.7\n \n 54.2\n \n 53.6\n \n 54.5\n \n 54.7\n \n \n
\n Wage and salaried\n
\n workers\n 		\n Total\n \n Millions\n \n 121.1\n \n 158.2\n \n 180.7\n \n 164.7\n \n 174.3\n \n \n \n
\n Self-employed workers\n \n Total\n \n Millions\n \n 79.8\n \n 93.3\n \n 105.3\n \n 98.0\n \n 105.1\n \n \n \n
\n Share of wage and\n
\n salaried workers\n 		\n Total\n \n Per cent\n \n 60.3\n \n 62.9\n \n 63.2\n \n 62.7\n \n 62.4\n \n \n \n
\n Share of self-employed\n
\n workers\n 		\n Total\n \n Per cent\n \n 29\n \n 37.1\n \n 36.8\n \n 37.3\n \n 37.6\n \n \n \n
\n Extreme working\n
\n poverty\n
\n (<US$1.90 PPP per day)\n 		\n Total\n \n Millions\n \n 17.6\n \n 8.7\n \n 9.3\n \n 9.6\n \n 9.1\n \n 9.4\n \n \n
\n Share of extreme\n
\n working poverty\n
\n (<US$1.90 PPP per day)\n 		\n Total\n \n Per cent\n \n 8.7\n \n 3.4\n \n 3.2\n \n 3.6\n \n 3.3\n \n 3.2\n \n \n
\nNote: \"Youth\" = ages 15-24. The terms \"women\" and \"men\" refer to ages 15 upwards.\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_32", "image_path": "OTableR/img/en_32_ilo.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Country/territory\n \n Total expenditure\n
\n on social protection\n
\n $(excluding health)^{a}$\n 		\n Expenditure on social protection systems including floors\n
\n by broad age group\n 		\n Domestic general\n
\n government health\n
\n expenditure(GGHE-D),\n
\n WHO\n
\n Children\n \n Working-age\n
\n population\n 		\n Old age\n \n Sector\n \n Source\n
\n Lebanon\n \n 6.2\n \n 0.8\n \n 0.2\n \n 5.2\n \n Budgetary central\n
\n government\n 		\n IMF\n \n 4.2\n
\n Occupied Palestinian Territory\n \n 3.3\n \n 0.0\n \n 0.6\n \n 2.3\n \n Budgetary central\n
\n government\n 		\n IMF\n \n …\n
\n Oman\n \n 2.2\n \n 0.0\n \n 0.2\n \n 2.0\n \n Budgetary centra\n
\n government\n 		\n IMF\n \n 3.6\n
\n Qatar\n \n 0.9\n \n …\n \n 0.1\n \n 0.8\n \n General government\n \n ILO/National\n \n 1.9\n
\n Saudi Arabia\n \n 5.3\n \n 0.0\n \n 2.0\n \n 3.3\n \n General government\n \n ILO/National\n \n 4.0\n
\n Syrian Arab Republic\n \n 0.4\n \n …\n \n …\n \n …\n \n General government\n \n ILO/IMF\n \n …\n
\n United Arab Emirates\n \n 2.2\n \n …\n \n 1.2\n \n …\n \n General government\n \n IMF\n \n 2.2\n
\n Yemen\n \n 0.7\n \n …\n \n 0.0\n \n 0.7\n \n General government\n \n IMF\n \n …\n
\n Asia and the Pacific\n \n
\n South-Eastern Asia and the Pacific\n \n
\n Australia\n \n 9.4\n \n 2.2\n \n 5.8\n \n 3.8\n \n General government\n \n IMF\n \n 6.4\n
\n Brunei Darussalam\n \n 0.2\n \n …\n \n …\n \n 0.4\n \n General government\n \n ILO/ADB\n \n 2.3\n
\n Cambodia\n \n 0.9\n \n 0.2\n \n 0.6\n \n 0.3\n \n General government\n \n GSWPlanned\n \n 1.3\n
\n China\n \n 7.2\n \n …\n \n 1.2\n \n 5.0\n \n General government\n \n IMF\n \n 3.0\n
\n Fji\n \n 2.5\n \n 0.1\n \n 0.5\n \n 1.9\n \n General government\n \n ILO/National\n \n 2.3\n
\n Cook Islands\n \n 4.2\n \n 0.6\n \n 0.4\n \n 3.1\n \n General government\n \n ADB\n \n 2.4\n
\n Hong Kong, China\n \n 2.8\n \n 0.2\n \n 2.3\n \n 0.3\n \n General government\n \n IMF\n \n …\n
\n Indonesia\n \n 1.3\n \n 0.4\n \n 1.3\n \n 0.9\n \n General government\n \n IMF\n \n 1.4\n
\n Japan\n \n 16.1\n \n 1.9\n \n 2.9\n \n 12.4\n \n General government\n \n IMF\n \n 9.2\n
\n Kiribat\n \n 10.8\n \n …\n \n 5.0\n \n 5.7\n \n General government\n \n ADB\n \n 9.3\n
\n Korea, Democratic People's\n
\n Republic of\n 		\n …\n \n …\n \n …\n \n …\n \n …\n \n …\n \n …\n
\n Korea, Republic of\n \n 6.3\n \n 1.2\n \n 2.0\n \n 3.1\n \n General government\n \n OECD\n \n 4.4\n
\n Lao People's Democratic\n
\n Republic\n 		\n 0.7\n \n …\n \n 0.0\n \n 0.5\n \n General government\n \n National\n \n 0.9\n
\n Macau, China\n \n 4.1\n \n 0.0\n \n 0.1\n \n 0.8\n \n General government\n \n IMF\n \n …\n
\n Malaysia\n \n 4.2\n \n …\n \n 0.6\n \n 5.0\n \n General government\n \n ADB\n \n 1.9\n
\n Marshall Islands\n \n 3.4\n \n 0.9\n \n 4.4\n \n 7.2\n \n Budgetary central\n
\n government\n 		\n IMF\n \n 7.6\n
\n Micronesia, Federated States of\n \n 0.4\n \n 1.0\n \n 0.4\n \n 5.7\n \n Budgetary central\n
\n government\n 		\n IMF\n \n 3.3\n
\n Mongolia\n \n 15.9\n \n 1.1\n \n 10.7\n \n 10.9\n \n General government\n \n IMF\n \n 2.2\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_33", "image_path": "OTableR/img/en_33_ilo.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table A4.2(cont'd)\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Region/\n
\n Income level\n 		\n SDG indicator 1.3.1-\n
\n Population covered by at\n
\n least one social protection\n
\n benefit $(excluding health)^{1}$\n 		\n People protected by social protection systems including floors\n \n SDG 3.8.1-Universal\n
\n health $coverage^{10}$\n
\n $Children^{2}$\n \n Mothers with\n
\n $newborns^{3}$\n 		\n Persons with severe\n
\n $disabilities^{4}$\n 		\n $Unemployed^{5}$\n \n Older\n
\n $persons^{6}$\n 		\n Workers in case of\n
\n work $injury^{7}$\n 		\n Vuinerable persons\n
\n covered by social\n
\n $assistance^{8}$\n 		\n Working-age\n
\n population covered\n
\n by pension scheme\n
\n $(active contributors)^{9}$\n
\n Sint Maarten(Dutch part)\n \n …\n \n …\n \n …\n \n …\n \n 0.0\n \n …\n \n …\n \n …\n \n …\n \n …\n
\n St.Martin(French part)\n \n 68.8\n \n 100.0\n \n …\n \n …\n \n …\n \n 60.8\n \n …\n \n 61.0\n \n …\n \n …\n
\n Suriname\n \n 33.5\n \n 57.9\n \n 0.0\n \n …\n \n 0.0\n \n 100.0\n \n …\n \n 29.6\n \n 7.6\n \n 71.0\n
\n Trinidad and Tobago\n \n 55.2\n \n 14.6\n \n 40.4\n \n 68.1\n \n 0.0\n \n 91.1\n \n 67.8\n \n 24.0\n \n 4.7\n \n 74.0\n
\n Turks and Caicos Islands\n \n 52.1\n \n …\n \n 57.5\n \n 9.1\n \n 0.0\n \n 68.4\n \n …\n \n 1.8\n \n …\n \n …\n
\n United States Virgin Islands\n \n 72.1\n \n 1.9\n \n …\n \n 44.4\n \n 3.2\n \n 100.0\n \n 68.6\n \n 1.8\n \n 52.6\n \n …\n
\n Uruguay\n \n 93.8\n \n 65.6\n \n 100.0\n \n 100.0\n \n 31.6\n \n 100.0\n \n 71.4\n \n 84.3\n \n 44.5\n \n 8.0\n
\n Venezuela, Bolivarian\n
\n Republic of\n 		\n …\n \n …\n \n …\n \n 28.3\n \n …\n \n 59.4\n \n …\n \n …\n \n 2.2\n \n 74.0\n
\n Northern America\n
\n Canada\n \n 99.8\n \n 95.2\n \n 100.0\n \n 68.0\n \n 37.8\n \n 100.0\n \n 69.1\n \n 99.0\n \n 35.2\n \n 89.0\n
\n Saint Pierre and Miquelon\n \n 100.0\n \n 100.0\n \n 100.0\n \n 77.3\n \n 41.5\n \n 100.0\n \n 100.0\n \n 100.0\n \n …\n \n …\n
\n United States\n \n 76.1\n \n 100.0\n \n …\n \n 100.0\n \n 27.9\n \n 100.0\n \n 84.8\n \n 31.0\n \n 62.5\n \n 84.0\n
\n Arab States\n
\n Bahrain\n \n 62.4\n \n 3.8\n \n …\n \n 28.6\n \n 46.6\n \n 75.1\n \n 61.7\n \n 36.9\n \n 55.8\n \n 77.0\n
\n Iraq\n \n 40.5\n \n …\n \n …\n \n 9.3\n \n 0.0\n \n 33.1\n \n …\n \n 26.9\n \n 14.3\n \n 61.0\n
\n Jordan\n \n 27.8\n \n 8.8\n \n 4.8\n \n 20.0\n \n 5.\n \n 60.0\n \n 57.5\n \n 9.7\n \n 23.6\n \n 76.0\n
\n Kuwait\n \n 17.7\n \n 0.4\n \n …\n \n 8.4\n \n 4.4\n \n 27.6\n \n 95.1\n \n 2.6\n \n 2.3\n \n 76.0\n
\n Lebanon\n \n 13.9\n \n 32.7\n \n 0.0\n \n …\n \n 0.0\n \n 9.8\n \n 47.8\n \n 1.7\n \n 4.6\n \n 73.0\n
\n Occupied Palestinian\n
\n Territory\n 		\n 16.6\n \n 12.1\n \n …\n \n 30.6\n \n 0.0\n \n 65.7\n \n …\n \n 13.2\n \n 28.8\n \n …\n
\n Oman\n \n 16.3\n \n 0.2\n \n …\n \n 16.0\n \n …\n \n 46.9\n \n 9.5\n \n 1.7\n \n 34.0\n \n 69.0\n
\n Qatar\n \n 7.0\n \n 0.5\n \n …\n \n 6.4\n \n 1.0\n \n 19.4\n \n …\n \n 0.6\n \n 16.8\n \n 68.0\n
\n Saudi Arabia\n \n 77.8\n \n 6.0\n \n …\n \n 9.4\n \n 6.4\n \n 33.2\n \n 74.7\n \n 49.8\n \n 18.6\n \n 74.0\n
\n Syrian Arab Republic\n \n …\n \n …\n \n …\n \n …\n \n …\n \n 17.0\n \n 47.8\n \n …\n \n 7.5\n \n 6.0\n
\n United Arab Emirates\n \n 3.5\n \n 0.2\n \n …\n \n 1.8\n \n 0.3\n \n 22.6\n \n 1.4\n \n 1.2\n \n 18.6\n \n 76.0\n
\n Yemen\n \n 2.8\n \n 0.0\n \n …\n \n 0.1\n \n 0.0\n \n 7.4\n \n 9.9\n \n 0.0\n \n 2.8\n \n 42.0\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_34", "image_path": "OTableR/img/en_34_ilo.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "▶ Table 2.1 Revenue model of selected online web-based platforms, January 2021\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Clients\n \n Workers\n
\n \n Commission\n
\n fee\n 		\n Maintenance\n
\n fee\n 		\n Transaction\n
\n fee\n 		\n Deposit\n \n Additional\n
\n $fee^{5}$\n 		\n Commission\n
\n fee\n 		\n Maintenance\n
\n fee\n 		\n Transaction\n
\n fee\n 		\n Additional\n
\n $fee^{5}$\n
\n Freelance platforms\n
\n Upwork\n \n -\n \n -\n \n $3\\%^{1}$\n \n -\n \n -\n \n 500: 20%\n
\n 501-10000: 10%\n
\n >10000: 5%\n 		\n -\n \n $0-30\n \n $0.15-12\n
\n PeoplePerHour\n \n £0-0.6\n
\n +10%\n 		\n $$9.95^{2}$\n \n $2.5\\%^{3}$\n \n -\n \n $15\n \n 350: 20%\n
\n 351-7000: 7.5%\n
\n >7000: 3.5%\n 		\n $9.952\n \n $0-29.99\n
\n or $2.5\\%^{3}$\n 		\n $8.95-29.95\n
\n Freelancer\n \n $3 or 3%\n \n $$10^{2}$\n \n $0-0.30\n
\n +2.3%; $15\n 		\n -\n \n $5-35;\n
\n 50% of\n
\n contest\n
\n prize\n 		\n 0-20%\n \n $$10^{2}$\n \n $0-25\n \n 0.75% of bid\n
\n amount\n
\n $0.50-50\n
\n Toptal\n \n -\n \n -\n \n -\n \n $500\n \n -\n \n -\n \n -\n \n -\n \n -\n
\n Contest-based platforms\n
\n Designhill\n \n 5%\n \n -\n \n $5\\%^{1}$\n \n -\n \n -\n \n 25-35%\n \n -\n \n ✔\n \n -\n
\n Hatchwise\n \n -\n \n -\n \n -\n \n -\n \n $39\n \n -\n \n -\n \n ✔\n \n -\n
\n 99designs\n \n 5%\n \n -\n \n -\n \n -\n \n -\n \n 5-15%;\n
\n 20% of the first\n
\n $500 $earned^{4}$\n 		\n -\n \n ✔\n \n -\n
\n Microtask platforms\n
\n AMT\n \n 20-40%\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n 2.9-3.9%\n \n -\n
\n Clickworker\n \n 20-40%\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n
\n Appen\n \n 20%\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n
\n Microworkers\n \n 7.5%\n \n $$5^{2}$\n \n -\n \n -\n \n -\n \n -\n \n $$5^{2}$\n \n 3-7.50%\n \n -\n
\n$^{1}$ Payment processing fee. $^{2}$ For inactive accounts. $^{3}$ Currency conversion fee. $^{4}$ Client introduction fee. $^{5}$ Additional fee for\\nclients includes fees for prioritizing or highlighting their projects or tasks; and for workers includes fees for making their profiles\\nmore visible, and also for purchasing connects or credits to bid for projects.\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_35", "image_path": "OTableR/img/en_35_ilo.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Year\n \n
\n 1970\n \n Ecuador\n
\n 1971\n \n Japan, Libya, Spain\n
\n 1972\n \n Cuba, France, Syrian Arab Republic, Zambia\n
\n 1973\n \n Australia, Cameroon, Mexico, Netherands\n
\n 1974\n \n Burkina Faso, Iraq, Nepal\n
\n 1975\n \n Romania, SriLanka\n
\n 1976\n \n Egypt, Nicaragua, Yemen\n
\n 1977\n \n Bolivia (Plurinational State of), Lebanon, Uruguay\n
\n 1978\n \n
\n 1979\n \n Costa Rica, Kenya\n
\n 1980\n \n Niger\n
\n 1981\n \n Eswatini\n
\n 1982\n \n
\n 1983\n \n Brazil, Guyana, Portugal, United Republic of Tanzania\n
\n 1984\n \n
\n 1985\n \n
\n 1986\n \n
\n 1987\n \n
\n 1988\n \n Guatemala, Malta\n
\n 1989\n \n
\n 1990\n \n
\n 1991\n \n North Macedonia\n
\n 1992\n \n Slovenia\n
\n 1993\n \n Azerbaijan, Bosnia and Herzegovina, Latvia\n
\n 1994\n \n Lithuania\n
\n 1995\n \n El Salvador\n
\n 1996\n \n
\n 1997\n \n
\n 1998\n \n
\n 1999\n \n Chile\n
\n 2000\n \n Republic of Moldova, Serbia\n
\n 2001\n \n Republic of Korea\n
\n 2002\n \n Antigua and Barbuda\n
\n 2003\n \n
\n 2004\n \n Albania\n
\n 2005\n \n Armenia\n
\n 2006\n \n Central African Republic, Montenegro, Ukraine\n
\n 2007\n \n Kyrgyzstan\n
\n 2008\n \n
\n 2009\n \n
\n 2010\n \n
\n 2011\n \n
\n 2012\n \n
\n 2013\n \n Morocco\n
\n 2014\n \n
\n 2015\n \n
\n 2016\n \n Malaysia\n
\n 2017\n \n
\n 2018\n \n Bulgaria\n
\n Total\n \n 54 ratifications\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_36", "image_path": "OTableR/img/en_36_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Efficiency level (W/W)\n \n 3.08\n
\n (proposed ASEAN\n
\n 2020 MEPS level)\n 		\n 3.7\n \n 4.3\n \n 5\n \n 5.6\n \n 6.2\n
\n Availability of ACs by\n
\n efficiency level\n 		\n Singapore\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n \n Available, but not widely (< 60% sample)\n \n Available, but not widely (< 60% sample)\n \n Available, but not widely (< 60% sample)\n
\n Thailand\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n \n Available, but not widely (< 60% sample)\n \n Available, but not widely (< 60% sample)\n \n Available, but not widely (< 60% sample)\n
\n Viet Nam\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n \n Available, but not widely (< 60% sample)\n \n Available, but not widely (< 60% sample)\n \n Available, but not widely (< 60% sample)\n
\n Indonesia\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n \n Available, but not widely (< 60% sample)\n \n Available, but not widely (< 60% sample)\n \n Available, but not widely (< 60% sample)\n \n Available, but not widely (< 60% sample)\n
\n Philippines\n \n Widely available (>60% sample)\n \n Available, but not widely (< 60% sample)\n \n Available, but not widely (< 60% sample)\n \n Not available\n \n Not available\n \n Not available\n
\n Affordability of Acs\n
\n by efficiency level\n 		\n Singapore\n \n No information\n \n No information\n \n No information\n \n No information\n \n No information\n \n No information\n
\n Thailand\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n \n Available, but not widely (< 60% sample)\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n
\n Viet Nam\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n \n Widely available (>60% sample)\n \n Available, but not widely (< 60% sample)\n \n No information\n
\n Indonesia\n \n No information\n \n No information\n \n No information\n \n No information\n \n No information\n \n No information\n
\n Philippines\n \n Widely available (>60% sample)\n \n Available, but not widely (< 60% sample)\n \n Available, but not widely (< 60% sample)\n \n Not available\n \n No information\n \n No information\n
\nWidely available (>60% sample) Not available\nAvailable, but not widely (< 60% sample) No information\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_37", "image_path": "OTableR/img/en_37_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n \n Recent years\n \n 2030\n
\n \n \n \n 2020\n \n PES\n \n 1.5°C\n
\n Scenario\n
\n KPI.01\n
\n RENEWABLES\n
\n (POWER)\n 		\n Electricity\n
\n generation\n
\n (TWh/yr)\n 		\n Global\n \n 7468\n \n 16504\n \n 27358\n
\n G20\n \n 6237\n \n 14269\n \n 22397\n
\n Renewable energy\n
\n share in electricity\n
\n generation(%)\n 		\n Global\n \n 28%\n \n 46%\n \n 68%\n
\n G20\n \n 28%\n \n 48%\n \n 69%\n
\n KPI.02\n
\n RENEWABLES\n
\n (DIRECT USES)\n 		\n Renewable energy\n
\n share in TFEC(%)\n 		\n Global\n \n 18%\n \n 23%\n \n 35%\n
\n G20\n \n 16%\n \n 22%\n \n 36%\n
\n Modern use of\n
\n bioenergy$(EJ)^{1}$\n 		\n Global\n \n 21\n \n 30\n \n 50\n
\n G20\n \n 19\n \n 26\n \n 36\n
\n KPI.03\n
\n ENERGY\n
\n INTENSITY\n 		\n Energy intensity\n
\n improvement rate\n
\n (%)\n 		\n Global\n \n 1.7%\n \n 1.8%\n \n 3.3%\n
\n G20\n \n 2.1%\n \n 2.1%\n \n 3.6%\n
\n KPI.04\n
\n ELECTRIFICATION\n
\n IN END-USE\n
\n SECTORS\n
\n (DIRECT)\n 		\n Electrification rate\n
\n in TFEC(%)\n 		\n Global\n \n 22%\n \n 23%\n \n 29%\n
\n G20\n \n 24%\n \n 26%\n \n 31%\n
\n KPI.05\n
\n CLEAN\n
\n HYDROGEN\n
\n AND\n
\n DERIVATIVES\n 		\n Production of\n
\n clean hydrogen\n
\n (Mt)\n 		\n Global\n \n 0.7 Mt/$yr^{2}$\n \n 2\n \n 125\n
\n G20\n \n 0.5 Mt/$yr^{2}$\n \n 2\n \n 94\n
\n KPI.06\n
\n CCS, BECCS\n
\n AND OTHERS\n 		\n $CO_{2}$, captured from\n
\n CCS, BECCs and\n
\n other removal\n
\n measures(Gt)\n 		\n Global\n \n 0.04 Gt$CO_{2}/yr^{3}$\n \n 0.1\n \n 2.2\n
\n G20\n \n 0.03 Gt$CO_{2}/yr^{3}$\n \n 0.1\n \n 2.1\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_38", "image_path": "OTableR/img/en_38_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n TARGE\n \n INDICATOR\n \n CUSTODIAN AGENCY\n
\n OR AGENCIES\n 		\n RELEVANT CHAPTER\n
\n IN THIS REPORT\n
\n 7.1-By 2030, ensure universal access to affordable,\n
\n reliable and modern energy services\n 		\n 7.1.1-Proportion of population with\n
\n access to electricity\n 		\n World Bank\n \n Chapter 1\n
\n 7.1.2-Proportion of population with\n
\n primary reliance on clean fuels and\n
\n technology for cooking\n 		\n World Health Organization\n \n Chapter 2\n
\n 7.2-By 2030, increase substantially the share of\n
\n renewable energy in the global energy mix\n 		\n 7.2.1-Renewable energy share in total\n
\n final energy consumption\n 		\n International Energy Agency,\n
\n International Renewable\n
\n Energy Agency, UN Statistics\n
\n Division\n 		\n Chapter 3\n
\n 7.b-By2030, expand infrastructure and upgrade\n
\n technology for supplying modern and sustainable\n
\n energy services for all in developing countries, in\n
\n particular least developed countries, small island\n
\n developing states, and landlocked developing\n
\n countries, in accordance with their respective\n
\n programs of support\n 		\n 7.b.1-Installed renewable energy-\n
\n generating capacity in developing and\n
\n developed countries(in watts per capita)\n 		\n International Renewable\n
\n Energy Agency\n
\n 7.3-By 2030, double the global rate of improvement\n
\n in energy efficiency\n 		\n 7.3.1-Energy intensity measured in\n
\n terms of primary energy and GDP\n 		\n International Energy Agency,\n
\n UN Statistics Division\n 		\n Chapter 4\n
\n 7.a-By 2030, enhance international cooperation\n
\n to facilitate access to clean energy research and\n
\n technology, including renewable energy, energy\n
\n efficiency, and advanced and cleanerfossil fuel\n
\n technology, and promote investment in energy\n
\n infrastructure and clean energytechnology\n 		\n 7.a.1-International financial flows to\n
\n developing countries in support of clean\n
\n energy research and development and\n
\n renewable energy production, including\n
\n in hybrid systems\n 		\n International Renewable\n
\n Energy Agency, Organisation\n
\n for Economic Co-operation\n
\n and Development\n 		\n Chapter 5\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_39", "image_path": "OTableR/img/en_39_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Prompt Month Oil Futures Prices\n
\n (monthly and weekly averages,$/bbl)\n 		\n
\n \n May 2024\n \n Week Commencing:\n \n Last:\n
\n \n Mar\n \n Apr\n \n May\n \n $^{*}$Monthly\n \n m-o-m\n \n y-o-y\n \n \n \n \n \n
\n \n 2024\n \n 2024\n \n 2024\n \n △\n \n △\n \n △\n \n 06 May\n \n 13 May\n \n 20 May\n \n 27 May\n \n 07 Jun\n
\n NYMEX\n
\n Light Sw eet Crude Oil (WTI) 1st contract\n \n 80.41\n \n 84.39\n \n 78.62\n \n -4.94\n \n -5.77\n \n 7.00\n \n 78.67\n \n 79.01\n \n 78.24\n \n 78.49\n \n 75.53\n
\n Light Sw eet Crude Oil (WTI) 12th contract\n \n 75.46\n \n 79.07\n \n 75.75\n \n 2.17\n \n -3.31\n \n 6.78\n \n 73.63\n \n 74.16\n \n 74.29\n \n 74.90\n \n 71.39\n
\n RBOB\n \n 111.79\n \n 115.62\n \n 105.55\n \n -11.96\n \n -10.07\n \n -0.53\n \n 106.72\n \n 105.66\n \n 104.76\n \n 102.94\n \n 100.07\n
\n ULSD\n \n 112.20\n \n 110.41\n \n 102.53\n \n -6.29\n \n -7.88\n \n 4.02\n \n 103.45\n \n 102.56\n \n 102.54\n \n 101.17\n \n 98.77\n
\n ULSD($/mmbtu)\n \n 20.21\n \n 19.89\n \n 18.47\n \n -1.13\n \n -1.42\n \n 0.72\n \n 18.64\n \n 18.48\n \n 18.47\n \n 18.23\n \n 17.79\n
\n NYMEX Natural Gas ($/mmbtu)\n \n 1.75\n \n 1.79\n \n 2.42\n \n 0.60\n \n 0.63\n \n 0.12\n \n 2.23\n \n 2.45\n \n 2.69\n \n 2.56\n \n 2.92\n
\n ICE\n
\n Brent 1st contract\n \n 84.67\n \n 89.00\n \n 82.99\n \n -6.24\n \n -6.01\n \n 7.36\n \n 83.35\n \n 83.15\n \n 82.39\n \n 82.83\n \n 79.62\n
\n Brent 12th; contract\n \n 79.58\n \n 83.43\n \n 80.14\n \n 2.45\n \n -3.29\n \n 7.16\n \n 78.18\n \n 78.53\n \n 78.61\n \n 79.63\n \n 76.02\n
\n Gasoil\n \n 111.51\n \n 109.23\n \n 100.80\n \n -5.68\n \n -8.43\n \n 9.76\n \n 101.34\n \n 100.79\n \n 100.93\n \n 100.34\n \n 97.03\n
\n Prompt Month Differentials\n
\n NYMEXWTI-ICE Brent\n \n -4.26\n \n -4.61\n \n -4.37\n \n 1.3\n \n 0.24\n \n -0.36\n \n -4.67\n \n -4.14\n \n -4.15\n \n -4.34\n \n -4.09\n
\n NYMEXWTI 1st vs. 12th\n \n 4.94\n \n 5.33\n \n 2.87\n \n -7.11\n \n -2.46\n \n 0.22\n \n 5.05\n \n 4.85\n \n 3.95\n \n 3.59\n \n 4.14\n
\n ICE Brent 1st - 12th\n \n 5.09\n \n 5.57\n \n 2.86\n \n -8.69\n \n -2.72\n \n 0.20\n \n 5.17\n \n 4.62\n \n 3.78\n \n 3.20\n \n 3.60\n
\n NYMEX ULSD-WTI\n \n 31.79\n \n 26.01\n \n 23.91\n \n -1.35\n \n -2.11\n \n -2.98\n \n 24.77\n \n 23.55\n \n 24.29\n \n 22.68\n \n 23.24\n
\n NYMEX RBOB-WTI\n \n 31.39\n \n 31.22\n \n 26.93\n \n -7.02\n \n -4.29\n \n -7.53\n \n 28.05\n \n 26.65\n \n 26.51\n \n 24.45\n \n 24.54\n
\n NYMEX3-2-1 Crack(RBOB)\n \n 31.52\n \n 29.49\n \n 25.92\n \n -5.13\n \n -3.57\n \n -6.02\n \n 26.96\n \n 25.62\n \n 25.77\n \n 23.86\n \n 24.11\n
\n NYMEX ULSD-Natural Gas ($/mmbtu)\n \n 18.46\n \n 18.10\n \n 16.05\n \n -1.73\n \n -2.05\n \n 0.61\n \n 16.41\n \n 16.02\n \n 15.78\n \n 15.66\n \n 14.88\n
\n ICE Gasoil-ICE Brent\n \n 26.84\n \n 20.23\n \n 17.81\n \n 0.56\n \n -2.42\n \n 2.40\n \n 17.99\n \n 17.64\n \n 18.54\n \n 17.52\n \n 17.41\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_3", "image_path": "OTableR/img/en_3_sec.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n NOTES\n \n 2023\n
\n RMB'000\n 		\n 2022\n
\n RMB'000\n
\n (RESTATED)\n
\n REVENUE\n \n 5\n \n 8,533,611\n \n 7,636,743\n
\n Cost of revenue\n \n \n (1,503,268)\n \n (1,459,742)\n
\n Gross profit\n \n \n 7,030,343\n \n 6,177,001\n
\n Research and development costs\n \n \n (2,683,596)\n \n (2,552,754)\n
\n Selling and distribution expenses\n \n \n (1,470,493)\n \n (1,242,518)\n
\n Administrative expenses\n \n \n (661,431)\n \n (618,956)\n
\n Share-based compensation costs\n \n 7\n \n (313,874)\n \n (260,794)\n
\n Other income\n \n 5\n \n 374,586\n \n 395,156\n
\n Other expenses\n \n \n (48,653)\n \n (28,453)\n
\n Other losses,net\n \n 6\n \n (32,160)\n \n (6,499,855)\n
\n Finance income\n \n 8\n \n 629,199\n \n 449,005\n
\n Finance costs\n \n 9\n \n (168,890)\n \n (157,438)\n
\n Share of profits and lossesof:\n \n \n \n
\n Joint ventures\n \n 20\n \n (19,945)\n \n (19,634)\n
\n Associates\n \n 21\n \n (1,146,234)\n \n (1,362,103)\n
\n
\n PROFIT/(LOSS)BEFORE TAX\n 		\n 7\n \n 1,488,852\n \n
\n (5,721,343)\n
\n Income tax credit/(expense)\n \n 12\n \n (273,664)\n \n 379,456\n
\n PROFIT/(LOSs)FOR THE YEAR\n \n \n 1,215,188\n \n (5,341,887)\n
\n
\n Attributable to:\n 		\n \n \n
\n Owners of the parent\n \n \n 483,457\n \n (6,049,409)\n
\n Non-controlling interests\n \n \n 731,731\n \n 707,522\n
\n \n \n 1,215,188\n \n (5,341,887)\n
\n \n \n RMB\n \n RMB\n
\n (RESTATED)\n
\n EARNINGS/(LOSs)PER SHARE ATTRIBUTABLE TO ORDINARY\n \n \n \n
\n EQUITY HOLDERS OF THE PARENT\n \n 14\n \n \n
\n Basic\n \n \n 0.36\n \n (4.43)\n
\n Diluted\n \n \n 0.34\n \n (4.45)\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_40", "image_path": "OTableR/img/en_40_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table 2.1 Defining exposure to carbon leakage risks: $EITE^{*}$ criteria\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n ETS\n \n Emissions intensity\n \n Trade exposure\n \n EITE sector /Carbon leakage risks criteria\n
\n European\n
\n Union\n 		\n Phase3 (2013-2020):\n
\n Cost criterion = [(direct emissions *\n
\n auctioning factor) +\n
\n (electricity consumption *\n
\n electricity emission factor)]\n
\n * $\\frac{carbon price}{gross value added}$\n
\n
\n Phase4 (2021-2030):\n
\n Emissions intensity =\n
\n direct emissions +\n
\n electricity consumption *\n
\n $\\frac{electricity emission factor}{value added}$\n 		\n $\\frac{exports + imports}{turnover + imports}$\n \n Phase3 (2013-2020):\n
\n · Costincrease > 5%,trade exposure > 10%; or\n
\n · Costincrease > 30%; or\n
\n · Trade exposure > 30%\n
\n
\n Phase4 (2021-2030):\n
\n · Trade exposure x emissions intensity > 20%; or\n
\n · Trade exposure x emissions intensity > 15% but\n
\n < 20%, determined by a qualitative assessment based\n
\n on abatement potential, market characteristics, and\n
\n profit margins.\n
\n Korea\n \n Cost criterion =\n
\n GHG emissions *\n
\n
\n $\\frac{average allowance price}{value added}$\n 		\n $\\frac{exports + imports}{sales + imports}$\n \n Phase2 (2018-2020):\n
\n · Trade exposure > 30%, or\n
\n · Cost increase > 30%, or\n
\n · Trade exposure > 10%, and cost increase > 5%\n
\n
\n Phase3 (2021-2025):\n
\n · Cost increase x Trade exposure ≥ 0.2%\n
\n California\n \n $\\frac{GHG emissions}{value added}$\n \n $\\frac{exports + imports}\n{\\begin{array}{c}\n{value of shipments} \\\\ + {imports}\n\\end{array}}\n$\n \n Three leakage risk tiers based on emissions intensity\n
\n and trade exposure, with greater weight given to\n
\n emissions $intensity^{**}$\n
\n
\n Emissions intensity tiers:\n
\n · High: > 5000t $CO_{2}$e / milion USD value added\n
\n · Medium: 1000-4999t $CO_{2}$e / miion USD\n
\n value added\n
\n · Low: 100-999t $CO_{2}$e / milion USD value added\n
\n · Very Low: < 100 t $CO_{2}$e / million USD value added\n
\n
\n Trade exposure tiers:\n
\n · High: > 19%\n
\n · Medium: 10-19%\n
\n · Low: < 10%\n
\n RGGI\n \n N/A\n \n N/A\n \n N/A [Power sector only]\n
\n Quebec\n \n $\\frac{GHG emissions}{GDP}$\n \n $\\frac{exports + imports}\n{\\begin{array}{c}\n{demestic production} \\\\ + {imports}\n\\end{array}}\n$\n \n Three leakage risk tiers based on emissions intensity\n
\n and trade exposure, with greater weight given to\n
\n emissions intensity.\n
\n
\n Emissions intensity tiers:\n
\n · High: > 2500t $CO_{2}$e / milion CAD GDP\n
\n · Medium: 500-2500t $CO_{2}$e / million CAD GDP\n
\n · Low: 100-500t $CO_{2}$e / milion CAD GDP\n
\n
\n Trade exposure tiers:\n
\n · High: > 30%\n
\n · Medium: 20-30%\n
\n · Low: 10-20%\n
\n New\n
\n Zealand\n 		\n $frac{GHG emissions}{revenue}$\n \n If there is\n
\n transoceanic trade in\n
\n the good produced.\n 		\n Two leakage risk tiers based on emissions intensity\n
\n (quantitative) and trade exposure(qualitative).\n
\n
\n Emissions intensity tiers:\n
\n · High: > 1600t $CO_{2}$e / million NZD revenue\n
\n · Moderate: 800-1600t $CO_{2}$e / milion NZD revenue\n
\n
\n Trade exposure:if there is transoceanic trade in the\n
\n good produced.\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_41", "image_path": "OTableR/img/en_41_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Supply risks\n \n Expected pace of demand growtd\n
\n Short-term supply-demand balances\n
\n Long-term market balances in climate-driven scenarios\n
\n Observed price volatility\n
\n Impacts on clean energy cost\n
\n Geopolitical\n
\n risks\n 		\n Geographical concentration of mined supply\n
\n Geographical concentration of refined supply\n
\n N-1 demand and supply balances\n
\n Export risks of major suppliers\n
\n Hurdles to develop new projects in diversified regions\n
\n Barriers to\n
\n respond to\n
\n disruption\n 		\n Visible stock levels\n
\n Transparency of pricing schemes\n
\n Availability of options to moderate demand\n
\n Status of secondary supply\n
\n Exposure to ESG\n
\n and climate risks\n 		\n Environmental performance: mining\n
\n Environmental performance: refining\n
\n Social and governance performance\n
\n Exposure to natural hazards and climate risks-water stress\n
\n Exposure to natural hazards and climate risks-earthquake\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_42", "image_path": "OTableR/img/en_42_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n Policy option\n \n Description\n \n Typical size\n
\n (USD million)\n 		\n Examples\n
\n Capex financing\n \n 1\n \n Grants\n \n Non-repayable awards, usually to\n
\n support capital projects\n 		\n 1-100\n \n Australia: International Partnerships in Critical Minerals\n
\n Grants(AUD 40 milion)\n
\n US: DoD grants to Albermarle for lithium production (USD\n
\n go milion) and processing plants(USD 150 milion)\n
\n 2\n \n Concessional\n
\n loans\n 		\n Loans with favourable rates and/or\n
\n repayment terms\n 		\n 100-1000\n \n US: DOE LPO loan to Lithium Americas(USD 2.26 bilion)\n
\n 3\n \n Equity\n
\n investments\n 		\n Taking stakes in key minerals\n
\n projects with risk-sharing\n 		\n 10-100\n \n France: SGPl investment in equity fund(EUR 500 million)\n
\n US: DFC stake in TechMet(USD 75 milion)\n
\n Germany: KfW raw materials fund(EUR 1 bilion)\n
\n Opex\n
\n support\n 		\n 4\n \n Tax credits\n \n Reductions in tax liability in\n
\n exchange for investment or\n
\n production targets\n 		\n N/A\n \n US: Inflation Reduction Act 45X(10% of production cost)\n
\n 5\n \n Reduced\n
\n royalties\n 		\n Increasing the operating income\n
\n margin of the asset\n 		\n Australia: Western Australia nickel royalty assistance\n
\n programme(50% rebate for 18 months)\n
\n Risk mitigation\n \n 6\n \n Loan\n
\n guarantees\n 		\n Sovereign guarantees on private\n
\n loans to reduce lender risk\n 		\n 10-100\n \n Canada: Indigenous loan guarantee programme(CAD 5\n
\n bilion)\n
\n 7\n \n Insurance\n
\n products\n 		\n Protection against risks that may not\n
\n be covered by commercial insurers\n 		\n 10-100\n \n Japan: Loan insurance for procurement and equity\n
\n investment\n
\n 8\n \n Interest rate\n
\n reduction\n 		\n Directly lowering the cost of debt for\n
\n borrowers\n 		\n N/A\n \n Korea: KEXIM to lower rates for strategic industries\n
\n including batteries, by up to 120 bps\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_43", "image_path": "OTableR/img/en_43_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Buildings\n \n Appliances\n \n Industry\n \n Vehicles\n
\n Building Energy Codes\n \n MEPS for Appliances\n \n MEPS for Appliances\n \n Fuel Economy\n
\n Standards\n
\n Energy Performance\n
\n Certificates\n 		\n Energy Labelling\n \n Energy Efficiency\n
\n Industry Networks\n 		\n Vehicle Energy\n
\n Labelling\n
\n Energy Retrofit Grants\n \n Rebates and Loans\n \n Energy Efficiency\n
\n Obligation Schemes\n 		\n Grants for Passenger\n
\n Electric Vehicles\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_44", "image_path": "OTableR/img/en_44_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Objective\n \n Possible actions\n
\n Encourage local\n
\n renewables\n
\n deployment and use\n 		\n Support neighbourhood- and district-wide\n
\n renewables projects\n
\n Support community and municipal clean energy\n
\n procurement programmes\n
\n Support smart\n
\n energy efficiency\n 		\n Smart charging of Evs\n
\n City-level building energy codes, renovation\n
\n Low-emissions mobility\n
\n Include smart and clean energy solutions\n
\n into regulations and codes\n
\n Enable people-\n
\n centred and\n
\n inclusive\n
\n approaches\n 		\n Foster public participation and consultation\n
\n Support smart energy solutions targeted at\n
\n social housing\n
\n Accelerate the\n
\n development and\n
\n deployment of new\n
\n power infrastructure\n 		\n Simplify local permit rules, municipal\n
\n procurement policies, zoning ordinances and\n
\n other bylaws\n
\n Leverage roof surfaces of public buildings for\n
\n new solar PV installations\n
\n Develop resilient\n
\n power strategies\n 		\n Support the implementation of solar projects\n
\n with battery storage\n
\n Implement nature-based solutions, such as\n
\n green corridors\n
\n Implement smart\n
\n and sustainable\n
\n urban planning\n 		\n Map city-level renewable energy potential\n
\n Identify optimal siting of distribution network\n
\n infrastructure\n
\n Land use planning\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_45", "image_path": "OTableR/img/en_45_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table 1.2 Potential applications of various battery technologies for storage\\napplications by storage duration\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Storage duration\n
\n \n 4h or less\n \n 4h to 8h\n \n Days\n \n Weeks\n \n Seasonal\n
\n Lithium-ion\n \n Suitable\n \n Suitable\n \n Unsuitable\n \n Unsuitable\n \n Unsuitable\n
\n Sodium-ion\n \n Suitable\n \n Suitable\n \n Unsuitable\n \n Unsuitable\n \n Unsuitable\n
\n Redox flow\n \n Marginal\n \n Suitable\n \n Suitable\n \n Unsuitable\n \n Unsuitable\n
\n Iron air\n \n Unsuitable\n \n Unsuitable\n \n Marginal\n \n Suitable\n \n Unsuitable\n
\nSuitable Marginal Unsuitable\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_46", "image_path": "OTableR/img/en_46_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table 1.3 Energy and battery storage targets in selected regions/countries\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Battery\n
\n storage target\n
\n (GW)\n 		\n Energy\n
\n storage target\n
\n (GW)\n 		\n Target year\n \n Note\n
\n Australia\n \n \n 6.3\n \n 2030\n \n Target in state of Victoria\n
\n China\n \n \n 78\n \n 2025\n \n Excludes PHS\n
\n European Union\n
\n Greece\n \n 3.1\n \n 5.3\n \n 2030\n \n
\n Hungary\n \n \n 1\n \n 2030\n \n
\n Italy\n \n 15\n \n \n 2030\n \n
\n Portugal\n \n 1\n \n \n 2030\n \n Additional 3.9 GW PHS\n
\n Romania\n \n 0.24\n \n \n 2025\n \n
\n Spain\n \n \n 22\n \n 2030\n \n At least 0.4 GW BTM storage\n
\n India\n \n 47.24\n \n 73.93\n \n 2032\n \n
\n Japan\n \n 24 (GWh)\n \n \n 2030\n \n
\n Korea\n \n \n 24.51\n \n 2036\n \n Additional 1.75 GW PHS\n
\n United States\n
\n California\n \n 35.2\n \n 36.2\n \n 2045\n \n
\n Connecticut\n \n \n 1\n \n 2030\n \n
\n Maine\n \n \n 0.4\n \n 2030\n \n
\n Massachusetts\n \n \n 1 GWh\n \n 2025\n \n
\n Nevada\n \n \n 1\n \n 2030\n \n
\n New Jersey\n \n \n 2\n \n 2030\n \n
\n New Mexico\n \n \n 2\n \n 2034\n \n
\n New York\n \n \n 6\n \n 2030\n \n
\n Virginia\n \n \n 3.1\n \n 2035\n \n
\nNote: PHS = pumped hydro storage, BTM = behind-the-meter.\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_47", "image_path": "OTableR/img/en_47_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Cost of ownership parameters\n \n India\n \n China\n
\n OPEX\n \n ICEV fuel\n
\n economy\n
\n (2023)\n 		\n Gasoline\n \n 2W\n \n 1.6 I/100 km\n \n 1.71 I/100 km\n
\n Gasoline\n \n 3W\n \n 3.1 I/100 km\n \n --\n
\n Diesel\n \n 2.7 Ige/100 km\n \n --\n
\n Natural gas\n \n 4.1 Ige/100 km\n \n --\n
\n BEV fuel economy\n
\n (2023)\n 		\n 2W\n \n 0.4 Ige/100 km\n \n 0.3 Ige/100 km\n
\n 3W\n \n 0.6 Ige/100 km\n \n --\n
\n Annual mileage\n \n 2W\n \n 8 800 km/year\n
\n 3W\n \n 29 500 km/year\n \n --\n
\n Gasoline price(in 2022)\n \n USD 1.32/litre\n \n USD 1.00/litre\n
\n Diesel price(in 2022)\n \n USD 1.18/Ige\n \n USD 1.14/lge\n
\n Naturalgas price(in 2022)\n \n USD 0.68/Ige\n \n USD 0.60/Ige\n
\n Electricity price(2022)\n \n USD 0.06/kWh\n \n USD 0.08/kWh\n
\n Maintenance\n \n ICEV\n \n 3.6% of retail price per year\n
\n BEV\n \n 1.2% of retail price per year\n
\n Insurance\n \n ICEV\n \n 0.9% of retail price per year\n
\n BEV\n \n 0.9% of retail price per year\n
\n CAPEX\n \n ICEV\n
\n purchase\n
\n price\n
\n (2023)\n 		\n Gasoline\n \n 2W\n \n USD 1 094\n \n USD 875\n
\n Gasoline\n \n 3W\n \n USD 3 840\n \n --\n
\n Diesel\n \n USD 4 420\n \n --\n
\n Natural gas\n \n USD 4 635\n \n --\n
\n BEV purchase price\n
\n (2023)\n 		\n 2W\n \n USD 1 442\n \n USD 1 044\n
\n 3W\n \n USD 11 966\n \n --\n
\n Subsidy\n \n 2W\n \n EMPS: INR 10\n
\n 000\n 		\n None\n
\n 3W\n \n EMPS: INR 50\n
\n 000\n 		\n None\n
\n Tax rebates\n \n RTO: 10% 0f\n
\n retail price\n
\n GST: 23% of\n
\n retail price\n 		\n None\n
\n Vehicle depreciation\n \n No resale value considered\n
\n Loan term\n \n 3 years\n
\n Loan downpayment\n \n 10% of retail\n
\n price\n 		\n 20% of retail price\n
\n Loan interest rate\n \n 11.0%\n \n 10.3%\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_48", "image_path": "OTableR/img/en_48_iea.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Product Prices and Differentials ($/bbl)\n
\n \n Prices\n \n Differentials\n \n Week Starting\n
\n \n Jan\n \n Feb\n \n Mar\n \n Jan\n \n Feb\n \n Mar\n \n Feb-Mar\n
\n chg\n 		\n 04-Mar\n \n 11-Mar\n \n 18-Mar\n \n 25-Mar\n \n 01-Apr\n
\n Northwest Europe\n \n to North Sea Dated\n
\n Gasoline\n \n 89.70\n \n 96.77\n \n 102.97\n \n 9.45\n \n 12.87\n \n 17.53\n \n 4.66\n \n 15.02\n \n 15.31\n \n 18.29\n \n 23.30\n \n 20.31\n
\n Diesel\n \n 107.45\n \n 116.07\n \n 111.96\n \n 27.19\n \n 32.17\n \n 26.53\n \n -5.65\n \n 26.56\n \n 27.21\n \n 26.98\n \n 24.79\n \n 24.27\n
\n Jet/Kero\n \n 111.56\n \n 114.32\n \n 109.06\n \n 31.30\n \n 30.42\n \n 23.62\n \n -6.80\n \n 23.16\n \n 24.71\n \n 24.63\n \n 21.55\n \n 21.46\n
\n Naphtha\n \n 71.85\n \n 74.59\n \n 79.76\n \n -8.41\n \n -9.31\n \n -5.67\n \n 3.63\n \n -7.30\n \n -4.12\n \n -4.80\n \n -5.88\n \n -13.40\n
\n HSFO\n \n 67.03\n \n 70.31\n \n 72.88\n \n -13.23\n \n -13.58\n \n -12.56\n \n 1.03\n \n -12.86\n \n -13.21\n \n -11.75\n \n -11.85\n \n -15.33\n
\n 0.5% Fuel Oil\n \n 83.58\n \n 87.38\n \n 89.80\n \n 3.32\n \n 3.48\n \n 4.36\n \n 0.89\n \n 3.13\n \n 4.92\n \n 4.80\n \n 5.23\n \n 2.42\n
\n US Gulf Coast\n \n to WTL Houston\n
\n Gasoline\n \n 90.38\n \n 97.88\n \n 106.86\n \n 14.51\n \n 19.20\n \n 24.70\n \n 5.50\n \n 20.53\n \n 27.87\n \n 27.03\n \n 23.55\n \n 22.50\n
\n Diesel\n \n 107.59\n \n 113.68\n \n 109.22\n \n 31.73\n \n 34.99\n \n 27.06\n \n -7.94\n \n 28.10\n \n 28.20\n \n 27.12\n \n 23.62\n \n 23.88\n
\n Jet/Kero\n \n 108.36\n \n 112.45\n \n 108.96\n \n 32.50\n \n 33.77\n \n 26.80\n \n -6.97\n \n 27.47\n \n 28.92\n \n 26.68\n \n 23.29\n \n 25.99\n
\n Naphtha\n \n 73.86\n \n 81.04\n \n 80.78\n \n -2.00\n \n 2.35\n \n -1.38\n \n -3.73\n \n -2.62\n \n 0.27\n \n 1.23\n \n -4.51\n \n -7.53\n
\n HSFO\n \n 66.62\n \n 64.73\n \n 70.73\n \n -9.25\n \n -13.95\n \n -11.43\n \n 2.53\n \n -12.54\n \n -10.90\n \n -11.43\n \n -10.09\n \n -14.68\n
\n 0.5% Fuel Oil\n \n 90.46\n \n 94.36\n \n 98.39\n \n 14.60\n \n 15.68\n \n 16.23\n \n 0.55\n \n 15.30\n \n 16.23\n \n 17.12\n \n 16.41\n \n 14.11\n
\n Singapore\n \n to Dubai\n
\n Gasoline\n \n 91.18\n \n 95.58\n \n 97.09\n \n 11.09\n \n 13.24\n \n 11.35\n \n -1.88\n \n 10.29\n \n 10.35\n \n 12.12\n \n 12.98\n \n 11.49\n
\n Diesel\n \n 102.85\n \n 106.50\n \n 103.85\n \n 22.75\n \n 24.16\n \n 18.11\n \n -6.05\n \n 19.32\n \n 18.53\n \n 17.88\n \n 15.72\n \n 16.25\n
\n Jet/Kero\n \n 101.58\n \n 103.26\n \n 102.54\n \n 21.48\n \n 20.92\n \n 16.80\n \n -4.12\n \n 17.53\n \n 17.66\n \n 16.89\n \n 14.17\n \n 14.50\n
\n Naphtha\n \n 73.03\n \n 72.48\n \n 76.45\n \n -7.07\n \n -9.86\n \n 9.29\n \n 0.57\n \n -8.96\n \n -7.95\n \n -9.91\n \n -10.73\n \n -15.31\n
\n HSFO\n \n 68.00\n \n 66.96\n \n 72.40\n \n -12.10\n \n -15.38\n \n -13.33\n \n 2.04\n \n -13.87\n \n -13.06\n \n -13.11\n \n -12.78\n \n -14.97\n
\n 0.5% Fuel Oil\n \n 90.21\n \n 93.74\n \n 96.00\n \n 10.11\n \n 11.40\n \n 10.27\n \n -1.14\n \n 11.61\n \n 10.38\n \n 9.44\n \n 9.07\n \n 6.81\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_49", "image_path": "OTableR/img/en_49_oecd.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table 3.1. Shared responsibilities between the CoG in the PA\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Mandate and functions of the Prime Minister Office\n \n Mandate and functions of the General Secretariat of the\n
\n Council of Ministers\n
\n Policy development and co-ordination\n
\n Setting of annual and multi-annual strategic priorities of the govemment\n \n Co-ordinating the identification of thematic annual and multi-annual\n
\n strategic priorities, elaboration of policy options and proposals for\n
\n government decision, and preparation of the government\n
\n programme\n
\n Guidance and co-ordination of ministries and other administrative bodies\n
\n for the preparation of the NDP and of sector and cross-cutting strategies,\n
\n and for the integration of priority SDGs' targets into the NDP and sector\n
\n and cross-cutting strategies\n 		\n
\n Review of draft policy documents to identfy whether they are in line with\n
\n governmental priorites\n 		\n Review of the action plans for the implementation ofthe GRA\n
\n Co-ordination between ministries and other administrative bodies in\n
\n relation to implementation of the NDP and related sector and cross-\n
\n cutting strategies\n 		\n Policy co-ordination across government for the implementation of\n
\n the GRA and related sector-specific action plans\n
\n Establishment of Permanent Ministerial Committees to deal with specific\n
\n policy areas specified in the decree no. (21) for 2020, and ad-hoc\n
\n committees to deal with issues following outside these areas\n 		\n Establishment of committees to co-ordinate the implementation of\n
\n the GRA\n
\n Monitoring\n
\n Oversight of the performance of the ministries and other administrative\n
\n bodies\n 		\n Development of the Strategic Sectoral Result Framework to\n
\n monitor implementation of the NDP\n
\n Issuing instructions to the attention of the monitoring units\n
\n established in all ministries monitor implementation of thematic\n
\n annual plans and programmes in line with the NDP and the\n
\n resulting Strategic Sectoral Result Framework\n
\n Monitoring and following-up the implementation of thematic annual\n
\n plans in line with the NDP and the resulting Strategic Sectoral\n
\n Result Framework\n
\n Monitoring and evaluating the implementation of the GRA through\n
\n an inter-institutional governmental team and co-ordination among\n
\n thematic teams\n
\n Monitoring and oversight of the implementation of SDGs\n \n
\n PAR-related competences\n
\n Policy development and co-ordination\n \n Relationship with non-state actors (civil society, academia, think\n
\n tanks, private sector)\n
\n Service delivery\n
\nSource: Author's own elaboration.\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_4", "image_path": "OTableR/img/en_4_who.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table A4.1.Number of WHO Member States with publicly available disaggregateddata,by dimension ofinequality and GPW13outcome indicators,contnued\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n SDG/WHA\n \n Indicator\n \n Data source\n
\n $(year)^{*}$\n 		\n Age\n \n Economic\n
\n status\n 		\n Education\n \n Place of\n
\n residence\n 		\n Sex\n
\n SDG 6.1.1\n \n Proportion of population using safely managed drinking-\n
\n water services(%)\n 		\n Estimates\n
\n (2017)\n 		\n \n \n \n 32\n \n
\n SDG 6.2.1\n \n Proportion of population using safely managed sanitation\n
\n services(%)\n 		\n Estimates\n
\n (2017)\n 		\n \n \n \n 39\n \n
\n SDG 7.1.2\n \n Proportion of population with primary reliance on clean\n
\n fuels (%)\n 		\n \n \n \n \n \n
\n SDG 11.6.2\n \n Annual mean concentrations of fine particulate matter\n
\n ($PM_{2.5}$)in urban areas ($μg/m^{3}$)\n 		\n \n \n \n \n \n
\n SDG 16.2.1\n \n Proportion of children (aged 1-17) experiencing physical or\n
\n psychological aggression (%)\n 		\n \n \n \n \n \n
\n WHA 66.10\n \n Prevalence of raised blood pressure among persons aged\n
\n 18+years (age-standardized)(%)\n 		\n Estimates\n
\n (2015)\n 		\n \n \n \n \n 190\n
\n WHA 66.10\n \n Prevalence of obesity among adults(%)\n \n Estimates\n
\n (2016)\n 		\n \n \n \n \n 190\n
\n WHA 66.10\n \n Prevalence of obesity among children and adolescents\n
\n (5-19)(%)\n 		\n Estimates\n
\n (2016)\n 		\n \n \n \n \n 190\n
\n WHA 68.3\n \n Number of cases of poliomyelitis caused by wild poliovirus\n
\n (WPV)\n 		\n \n \n \n \n \n
\n Proportion of health facilities with essential medicines\n
\n available and affordable on a sustainable basis(%)\n 		\n \n \n \n \n \n
\n Vaccine coverage for epidemic-prone diseases\n \n \n \n \n \n \n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_5", "image_path": "OTableR/img/en_5_who.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 3.4\n \n 3.5\n \n 3.6\n \n 3.7\n
\n \n Probability of\n
\n dying from\n
\n any of CVD\n
\n cancer,diabetes\n
\n CRD between\n
\n age 30 and exact\n
\n age $70^{k}$(%)\n 		\n Suicide\n
\n mortality\n
\n $rate^{k}$(per\n
\n 100 000\n
\n population)\n 		\n Total alcohol per\n
\n capita(≥15 years\n
\n of age)\n
\n $consumption^{l}$\n
\n (litres of pure\n
\n alcohol)\n 		\n Road traffic\n
\n mortality $rate^{k}$\n
\n (per 100 000\n
\n population)\n 		\n Proportion\n
\n of women of\n
\n reproductive age\n
\n who have their\n
\n need for family\n
\n planning satisfied\n
\n with modern\n
\n $methods^{m}$(%)\n 		\n Adolescent\n
\n birth $rate^{n}$\n
\n (per 1000\n
\n women aged\n
\n 15-19 years)\n 		\n Adolescent\n
\n birth $rate^{n}$\n
\n (per 1000\n
\n women aged\n
\n 10-14 years)\n
\n Data type\n \n Comparable\n
\n estimates\n 		\n Comparable\n
\n estimates\n 		\n Comparable\n
\n estimates\n 		\n Comparable\n
\n estimates\n 		\n Primary data\n \n Primary data\n \n Primary data\n
\n Member State\n \n 2019\n \n 2019\n \n 2019\n \n 2019\n \n 2012-2020\n \n 2012-2020\n \n 2012-2020\n
\n Sierra Leone\n \n 23.5\n \n 6.7\n \n 5.3\n \n 33.0\n \n 53.0\n \n 102.0\n \n 3.9\n
\n Singapore\n \n 9.5\n \n 11.2\n \n 2.0\n \n 2.1\n \n -\n \n 2.1\n \n 0.0\n
\n Slovakia\n \n 15.5\n \n 12.1\n \n -\n \n 6.1\n \n -\n \n 26.9\n \n 0.3\n
\n Slovenia\n \n 11.4\n \n 19.8\n \n 12.1\n \n 5.1\n \n -\n \n 4.3\n \n 0.1\n
\n Solomon Islands\n \n 39.2\n \n 14.7\n \n 1.7\n \n 16.5\n \n $38.0^{ao}$\n \n 78.0\n \n -\n
\n Somalia\n \n 30.4\n \n 7.9\n \n 0.0\n \n 27.4\n \n $2.1^{ao}$\n \n 118.0\n \n 1.2\n
\n South Africa\n \n 24.1\n \n 23.5\n \n 9.5\n \n 22.2\n \n 79.7\n \n 43.9\n \n 1.2\n
\n South Sudan\n \n 16.8\n \n 3.9\n \n -\n \n 36.7\n \n -\n \n -\n \n -\n
\n Spain\n \n 9.6\n \n 7.7\n \n 12.7\n \n 3.9\n \n -\n \n 6.0\n \n 0.1\n
\n Sri Lanka\n \n 13.2\n \n 14.0\n \n 2.9\n \n 19.7\n \n $74.3^{ao}$\n \n 21.0\n \n 0.0\n
\n Sudan\n \n 22.8\n \n 3.8\n \n -\n \n 26.8\n \n $30.1^{ao}$\n \n 86.8\n \n 2.3\n
\n Suriname\n \n 22.7\n \n 25.4\n \n 7.4\n \n 15.3\n \n 57.5\n \n 55.8\n \n 2.0\n
\n Sweden\n \n 8.4\n \n 14.7\n \n 9.0\n \n 3.1\n \n $86.7^{ao}$\n \n 3.4\n \n 0.0\n
\n Switzerland\n \n 7.9\n \n 14.5\n \n 11.2\n \n 2.2\n \n -\n \n 2.0\n \n 0.0\n
\n Syrian Arab Republic\n \n 22.1\n \n 2.0\n \n 0.2\n \n 14.9\n \n -\n \n -\n \n -\n
\n Tajikistan\n \n 28.3\n \n 4.3\n \n 0.9\n \n 15.7\n \n $52.1^{ao}$\n \n 45.6\n \n 0.0\n
\n Thailand\n \n 13.7\n \n 8.8\n \n 8.5\n \n 32.2\n \n 88.2\n \n 31.7\n \n 0.0\n
\n Timor-Leste\n \n 19.9\n \n 3.7\n \n 0.5\n \n 11.9\n \n 45.9\n \n 41.9\n \n 0.4\n
\n Togo\n \n 23.9\n \n 8.8\n \n 2.7\n \n 28.7\n \n 39.6\n \n 79.0\n \n 1.5\n
\n Tonga\n \n 24.8\n \n 3.8\n \n 0.4\n \n 33.0\n \n $49.9^{ao}$\n \n -\n \n 0.0\n
\n Trinidad and Tobago\n \n 17.1\n \n 8.7\n \n 6.5\n \n 9.3\n \n -\n \n -\n \n -\n
\n Tunisia\n \n 15.7\n \n 3.3\n \n 2.0\n \n 16.5\n \n $62.7^{ao}$\n \n 6.3\n \n 0.0\n
\n Türkiye\n \n 15.6\n \n 2.4\n \n 1.8\n \n 6.7\n \n $60.1^{ao}$\n \n 14.7\n \n 0.0\n
\n Turkmenistan\n \n 27.7\n \n 5.7\n \n 3.1\n \n 13.5\n \n $79.6^{ao}$\n \n 22.4\n \n 0.0\n
\n Tuvalu\n \n -\n \n -\n \n 1.3\n \n -\n \n -\n \n 43.8\n \n 0.0\n
\n Uganda\n \n 21.2\n \n 4.6\n \n 12.5\n \n 29.4\n \n 55.1\n \n 127.9\n \n 1.1\n
\n Ukraine\n \n 25.5\n \n 21.6\n \n 8.3\n \n 10.2\n \n $68.0^{ao}$\n \n 14.7\n \n 0.1\n
\n United Arab Emirates\n \n 18.5\n \n 6.4\n \n 3.8\n \n 8.9\n \n -\n \n 3.7\n \n 0.0\n
\n United Kingdom\n \n 10.3\n \n 7.9\n \n 11.4\n \n 3.2\n \n $86.5^{ao,ap}$\n \n 10.9\n \n 0.0\n
\n United Republic of Tanzania\n \n 17.4\n \n 4.3\n \n 12.0\n \n 31.1\n \n 55.1\n \n 138.9\n \n 1.5\n
\n United States of America\n \n 13.6\n \n 16.1\n \n 10.0\n \n 12.7\n \n $78.4^{ao}$\n \n 16.7\n \n 03\n
\n Uruguay\n \n 16.5\n \n 21.2\n \n 6.9\n \n 14.8\n \n -\n \n 32.6\n \n 0.7\n
\n Uzbekistan\n \n 25.3\n \n 8.0\n \n 2.6\n \n 11.7\n \n -\n \n 18.9\n \n 0.0\n
\n Vanuatu\n \n 39.7\n \n 18.0\n \n 2.1\n \n 14.9\n \n $50.7^{ao}$\n \n 81.0\n \n -\n
\n Venezuela(Bolivarian Republic of)\n \n 14.8\n \n 2.0\n \n 3.6\n \n 39.0\n \n -\n \n 83.8\n \n 3.2\n
\n Viet Nam\n \n 21.2\n \n 7.5\n \n 7.9\n \n 30.6\n \n 69.6\n \n 29.0\n \n 0.0\n
\n Yemen\n \n 27.6\n \n 5.8\n \n <0.1\n \n 29.4\n \n $40.5^{ao}$\n \n 67.2\n \n 1.0\n
\n Zambia\n \n 24.6\n \n 7.3\n \n 4.5\n \n 20.5\n \n 65.9\n \n 135.0\n \n 2.9\n
\n Zimbabwe\n \n 28.4\n \n 14.1\n \n 4.5\n \n 41.2\n \n 84.8\n \n 107.9\n \n 1.1\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_6", "image_path": "OTableR/img/en_6_sec.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Efficiency\n \n Returns\n
\n \n JPM 2023\n
\n overhead ratio\n 		\n Best-in-class peer\n
\n overhead $ratio^{3}$\n 		\n JPM 2023\n
\n ROTCE\n 		\n Best-in-class all\n
\n banks $ROTCE^{4,6}$\n 		\n Best-in-class\n
\n GSIB $ROTCE^{5,6}$\n
\n Consumer &\n
\n Community\n
\n Banking\n 		\n 50%\n \n 50%\n
\n COF-DC & CB\n 		\n 38%\n \n 28%\n
\n BAC-CB\n 		\n 28%\n
\n BAC-CB\n
\n Corporate &\n
\n Investment\n
\n Bank\n 		\n 59%\n \n 55%\n
\n BAC-GB & GM\n 		\n 13%\n \n 16%\n
\n BAC-GB & GM\n 		\n 16%\n
\n BAC-GB & GM\n
\n Commercial\n
\n Banking\n 		\n 35%\n \n 39%\n
\n FITB\n 		\n 20%\n \n 19%\n
\n WFC-CB\n 		\n 19%\n
\n WFC-CB\n
\n Asset & Wealth\n
\n Management\n 		\n 64%\n \n 63%\n
\n NTRS-WM & ALLIANZ-AM\n 		\n 31%\n \n 58%\n
\n MS-WM & IM\n 		\n 58%\n
\n MS-WM & IM\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_7", "image_path": "OTableR/img/en_7_oecd.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table 2.5.Summary of the quality assessment of existing thematic PAR strategies\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Description of quality\n
\n requirements\n 		\n Sectoral Strategy\n
\n of the Civil\n
\n Service 2021-\n
\n 2023\n 		\n Technology and\n
\n Public\n
\n Administration\n
\n Strategy 2021-\n
\n 2023\n 		\n National Cross-\n
\n Sectoral Strategy\n
\n for Integrity and\n
\n Anti-Corruption\n
\n 2020-2022\n 		\n Cross-sectoral\n
\n Gender Strategy\n
\n 2021-2023\n 		\n Sectoral Strategy\n
\n for Public Finance\n
\n Management\n
\n 2021-2023\n
\n Problem analysis\n \n sufficient\n \n sufficient\n \n sufficient\n \n sufficient\n \n sufficient\n
\n Strategic and operational\n
\n objectives\n 		\n To improve\n \n sufficient\n \n To improve\n \n sufficient\n \n sufficient\n
\n Reform measures\n \n To improve\n \n sufficient\n \n sufficient\n \n sufficient\n \n sufficient\n
\n Implementation deadlines\n \n sufficient\n \n sufficient\n \n To improve\n \n sufficient\n \n sufficient\n
\n Output indicators\n \n sufficient\n \n sufficient\n \n sufficient\n \n sufficient\n \n sufficient\n
\n Outcome indicators\n \n Not available\n \n sufficient\n \n Not available\n \n To improve\n \n sufficient\n
\n Lead institution\n \n sufficient\n \n sufficient\n \n sufficient\n \n sufficient\n \n sufficient\n
\n Contributing institutions\n \n Not available\n \n sufficient\n \n sufficient\n \n sufficient\n \n Not available\n
\n Financial information\n \n To improve\n \n To improve\n \n To improve\n \n To improve\n \n Not available\n
\n Co-ordination and\n
\n monitoring arrangements\n 		\n Not available\n \n sufficient\n \n To improve\n \n sufficient\n \n Not available\n
\n Link with NPA/NDP\n \n sufficient\n \n Not available\n \n To improve\n \n sufficient\n \n sufficient\n
\n Link with SDGs\n \n sufficient\n \n Not available\n \n To improve\n \n sufficient\n \n sufficient\n
\n Colour code:\n \n sufficient\n \n To improve\n \n Not available\n \n \n
\nSource: Author's own elaboration.\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_8", "image_path": "OTableR/img/en_8_who.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Table 2.1.Summary of selected global strategieson communicable diseases\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n Milestones\n \n 2030 Goal\n \n 2030 SDG target\n
\n End TB strategy (8)\n
\n TB deaths\n \n 2020: ↓ 35%$^{*}$\n
\n 2025: ↓ 75%\n 		\n ↓ 95%\n \n “Endthe epidemic of TB\n
\n across all countries\"\n
\n TB incidence rate\n \n 2020: ↓ 20%\n
\n 2025: 150%\n 		\n ↓ 80%\n
\n TB-affected familiesfacing catastrophic costs due to TB(%)\n \n 2020: 0%\n
\n 2025: 0%\n 		\n 0%\n
\n Global healthsector strategy on HV 2016-2021 (9)\n
\n New HIV infections\n \n 2020: <500000/year\n \n ↓ 90%\n \n “Endthe epidemic ofHIV\n
\n across all countries”\n
\n AIDS-related deaths\n \n 2020: <500000/year\n \n ↓ 90%\n
\n Gobal AIDS strategy 2021-2026 (10)\n
\n New HIV infections\n \n 2025: <370000/year\n \n ↓ 90%\n \n “End the epidemic of HIV\n
\n across all countries”\n
\n AIDS-related deaths\n \n 2025: <250000/year\n \n ↓ 90%\n
\n Global technical strategy for malara 2016-2030 (11)\n
\n Malariaincidence\n \n 2020: ↓ 40% (at least)\n
\n 2025: ↓ 75% (at least)\n 		\n ↓ 90% (at least)\n \n “End the malaria epidemic\n
\n across all countries”\n
\n Malaria deaths\n \n 2020: ↓ 40% (at least)\n
\n 2025: ↓ 75% (at least)\n 		\n ↓ 90% (at least)\n
\n Countries eliminating malaria\n \n 2020: 10 countries\n
\n 2025: 20 countries\n 		\n 35 countries\n
\n Road map for neglected tropical diseases (NTDs)2021-2030(12)\n
\n People requiring interventions against NTDs\n \n Disease-specific targets set\n
\n for each NTD include 2023\n
\n and 2025 milestones\n 		\n ↓ 90%\n \n “End the NTDs epidemics\n
\n across all countries”\n
\n Disability-adjusted lifeyears related to NTDs\n \n ↓ 75%\n
\n Countries eliminating at leastone neglected tropical disease\n \n 100\n
\n NTDs eradicated\n \n 2\n
\n Polio endgame strategy 2019-2023 (13)\n
\n Wild poliovirus transmission\n \n 2030: Eradication of polio\n \n \n
\nNote: $^{*}$% dedines arerelative to 2015 baselines.\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_en_9", "image_path": "OTableR/img/en_9_oecd.jpeg", "prompt": "Please recognize and parse the table in the figure and output it in HTML format. Use '
' as the line break symbol for text. Text outside the table is output in plain text. The title is not written in HTML. If there is a legend, fill the corresponding text of the legend into the table. Math formulas are wrapped with '$'. Chemical structural formulas are wrapped with '' and '<\\smi>' for SMILES. Don't include unnecessary styles and attributes.", "answer": "Figure A B.4.Sources of prioritisation\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n Political opportunity\n \n Urgency\n \n Strategy\n
\n Cyclical\n \n Constructed\n \n Crisis\n \n Financial\n
\n austerity\n 		\n Strategic analysis\n \n Strategic\n
\n planning process\n
\n Emphasis on actions\n
\n which can be\n
\n completed within the\n
\n electoral term\n 		\n Priorities linked to\n
\n political opportunities\n
\n events, symbolic value\n 		\n COVD-19, natural\n
\n disasters etc\n 		\n Contraction of available\n
\n resources leading to re-\n
\n prortsaton\n 		\n Priorities ernerging\n
\n from economic or\n
\n prospective studies\n 		\n Derived in the\n
\n development process of\n
\n key strategic\n
\n documents\n
\n Government priorities\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_0", "image_path": "OTableR/img/zh_0_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表8.5-1 常用微晶玻璃的组成、主晶相及主要特性\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 基础\n
\n 玻璃\n 		\n 组成\n \n 主晶相\n \n 主要特性\n
\n 硅\n
\n 酸\n
\n 盐\n
\n 玻\n
\n 璃\n 		\n $\\mathrm{Na}_2 \\mathrm{O}-\\mathrm{CaO}-\\mathrm{MgO}-\\mathrm{SiO}_2$\n \n 氟锰闪石\n \n 易熔融\n
\n 强介电性、透明\n
\n 强介电性\n
\n 强磁性\n
\n 易机械加工\n
\n $\\mathrm{Na}_2 \\mathrm{O}-\\mathrm{Nb}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n $\\mathrm{NaNbO}_3$\n
\n $\\mathrm{PbO}-\\mathrm{TiO}_2-\\mathrm{SiO}_2$\n \n 钛酸铅$\\left(\\mathrm{PbTiO}_3\\right)$\n
\n $\\mathrm{Li}_2 \\mathrm{O}-\\mathrm{MnO}-\\mathrm{Fe}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n $\\mathrm{MnFe}_2 \\mathrm{O}_4$\n
\n $\\mathrm{F}-\\mathrm{K}_2 \\mathrm{O}-\\mathrm{MgF}_2-\\mathrm{MgO}-\\mathrm{SiO}_2$\n \n 四硅酸云母 $\\left(\\mathrm{KMg}_{2.5} \\mathrm{Si}_4 \\mathrm{O}_{10} \\mathrm{F}_{12}\\right)$\n
\n 铝\n
\n 硅\n
\n 酸\n
\n 盐\n
\n 玻\n
\n 璃\n 		\n $\\mathrm{Li}_2 \\mathrm{O}(少)-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n β-锂辉石$\\left(\\mathrm{Li}_2 \\mathrm{O} \\cdot \\mathrm{Al}_2 \\mathrm{O}_3 \\cdot 4 \\mathrm{SiO}_2\\right)$\n \n 白色不透明\n
\n 透明\n
\n 白色不透明、耐腐蚀\n
\n $\\mathrm{Li}_2 \\mathrm{O}(少)-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n β-石英\n
\n $\\mathrm{Li}_2 \\mathrm{O} (少)-\\mathrm{Al}_2 \\mathrm{O}_3 (多)-\\mathrm{SiO}_2$\n \n β-锂辉石 + 莫来石\n
\n $\\mathrm{Li}_2 \\mathrm{O}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2-\\mathrm{P}_2 \\mathrm{O}_5$\n \n β-石英\n \n 低膨胀\n
\n $\\mathrm{Li}_2 \\mathrm{O}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2-\\mathrm{B}_2 \\mathrm{O}_3$\n \n β-石英\n
\n $\\mathrm{Li}_2 \\mathrm{O}-\\mathrm{MgO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n β-锂辉石\n
\n $\\mathrm{Li}_2 \\mathrm{O}(多)-\\mathrm{Al}_2 \\mathrm{O}_3(少)-\\mathrm{SiO}_2$\n \n $\\mathrm{Li}_2 \\mathrm{O} \\cdot 2 \\mathrm{SiO}_2$\n \n 高膨胀，可用于高强度涂层\n
\n $\\mathrm{Na}_2 \\mathrm{O}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n 霞石$\\left(\\mathrm{Na}_2 \\mathrm{O} \\cdot \\mathrm{Al}_2 \\mathrm{O}_3 \\cdot 2 \\mathrm{SiO}_2\\right)\n
\n $\\mathrm{Na}_2 \\mathrm{O}-\\mathrm{BaO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n 霞石 + 钡长石$\\left(\\mathrm{BaO} \\cdot \\mathrm{Al}_2 \\mathrm{O}_3 \\cdot 2 \\mathrm{SiO}_2\\right)$\n
\n $\\mathrm{Li}_2 \\mathrm{O}-\\mathrm{MgO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n β-锂辉石\n \n 易熔、透明、低膨胀、高强度\n
\n 易熔、高强度\n
\n 可光照、蚀刻\n
\n $\\mathrm{Li}_2 \\mathrm{O}-\\mathrm{ZnO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n 硅酸锌\n
\n $\\mathrm{Li}_2 \\mathrm{O}(多)-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}$\n \n $\\mathrm{Li}_2 \\mathrm{O} \\cdot \\mathrm{SiO}_2, \\mathrm{Li}_2 \\mathrm{O} \\cdot 2 \\mathrm{SiO}_2$\n
\n $\\mathrm{MgO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n 堇青石$\\left(2 \\mathrm{MgO} \\cdot 2 \\mathrm{Al}_2 \\mathrm{O}_3 \\cdot 5 \\mathrm{SiO}_2\\right)$\n \n 低介电损耗、耐热、高强度、\n
\n 绝缘性好\n
\n 耐热、低膨胀性、强介电性、\n
\n 高强度\n
\n 强介电性\n
\n $\\mathrm{BaO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n 六方硅铝钡石$\\left(\\mathrm{BaO} \\cdot \\mathrm{Al}_2 \\mathrm{O}_3 \\cdot 2 \\mathrm{SiO}_2\\right)$\n
\n $\\mathrm{BaO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2-\\mathrm{TiO}_2$\n \n 钡长石、金红石\n
\n $\\mathrm{PbO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2-\\mathrm{TiO}_2$\n \n 钛酸铅\n
\n $\\mathrm{PbO}-\\mathrm{Nb}_2 \\mathrm{O}_5-\\mathrm{SiO}_2-\\mathrm{TiO}_2$\n \n $\\mathrm{PbNb}_2 \\mathrm{O}_7$\n
\n $\\mathrm{Na}_2 \\mathrm{O}-\\mathrm{Nb}_2 \\mathrm{O}_5-\\mathrm{SiO}_2-\\mathrm{TiO}_2$\n \n $\\mathrm{NaNbO}_3$\n
\n $\\mathrm{ZnO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n 钙黄长石\n \n 透明、耐热、低膨胀\n
\n $\\mathrm{ZnO}-\\mathrm{MgO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n 尖晶石\n
\n $\\mathrm{BaO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n 莫来石\n
\n $\\mathrm{CaO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n β-硅灰石$\\left(\\mathrm{CaO} \\cdot \\mathrm{SiO}_2\\right)$ 、钙长石\n \n 耐腐蚀、耐磨\n
\n 耐酸、抗冲击、耐磨\n
\n $\\mathrm{MgO}-\\mathrm{BaO}-\\mathrm{CaO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{TiO}_2-\\mathrm{CeO}_2$\n \n 钛硅镱铈石$\\left(\\mathrm{Ce}_2 \\mathrm{Ti}_2 \\cdot \\mathrm{SiO}_2\\right)$\n
\n $\\mathrm{F}-\\mathrm{K}_2 \\mathrm{O}-\\mathrm{MgO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n 氟金云母\n \n 易机械加工\n
\n $\\mathrm{CaO}-\\mathrm{MgO}-\\mathrm{Al}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n 透辉石、钙黄长石\n
\n 硼酸\n
\n 盐、\n
\n 硼硅\n
\n 酸盐\n
\n 玻璃\n 		\n $\\mathrm{B}_2 \\mathrm{O}_3-\\mathrm{BaO}-\\mathrm{Fe}_2 \\mathrm{O}_3$\n \n $\\mathrm{BaO} \\cdot 6 \\mathrm{Fe}_2 \\mathrm{O}_3$\n \n 强磁性\n
\n 耐腐蚀\n
\n 耐腐蚀、低膨胀、封接性好\n
\n 高膨胀封接料\n
\n $\\mathrm{PbO}-\\mathrm{ZnO}-\\mathrm{B}_2 \\mathrm{O}_3$\n \n 硅锌矿$\\left(2 \\mathrm{ZnO} \\cdot \\mathrm{SiO}_2\\right)$\n
\n $\\mathrm{ZnO}-\\mathrm{SiO}_2-\\mathrm{B}_2 \\mathrm{O}_3$\n \n $\\beta-2\\mathrm{PbO} \\cdot \\mathrm{~B}_2 \\mathrm{O}_3$\n
\n $\\mathrm{PbO}-\\mathrm{ZnO}-\\mathrm{B}_2 \\mathrm{O}_3-\\mathrm{SiO}_2$\n \n $\\alpha-2\\mathrm{PbO} \\cdot \\mathrm{~B}_2 \\mathrm{O}_3$\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_10", "image_path": "OTableR/img/zh_10_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "续表4-1\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 名称\n \n 结构式\n \n 熔点/°C\n \n 沸点/°C\n \n 相对密度$\\left(d_4^{20}\\right)$\n
\n 三氯甲烷\n \n $\\mathrm{CHCl}_3$\n \n -63.5\n \n 61.7\n \n 1.4832\n
\n 四氯化碳\n \n $\\mathrm{CCl}_4$\n \n -23\n \n 76.5\n \n 1.594\n
\n 氯乙烷\n \n $\\mathrm{CH}_3 \\mathrm{CH}_2 \\mathrm{Cl}$\n \n -136.4\n \n 12.3\n \n 0.8978\n
\n 溴乙烷\n \n $\\mathrm{CH}_3 \\mathrm{CH}_2 \\mathrm{Br}$\n \n -118.6\n \n 38.4\n \n 1.4604\n
\n 碘乙烷\n \n $\\mathrm{CH}_3 \\mathrm{CH}_2 \\mathrm{I}$\n \n -108\n \n 72.3\n \n 1.9358\n
\n 1-氯丙烷\n \n $\\mathrm{CH}_3 \\mathrm{CH}_2 \\mathrm{CH}_2 \\mathrm{Cl}$\n \n -122.8\n \n 46.6\n \n 0.8909\n
\n 2-氯丙烷\n \n \n *Cl<\\s>\n \n \n -117.2\n \n 35.7\n \n 0.8617\n
\n 氯乙烯\n \n $\\mathrm{CH}_2=\\mathrm{CHCl}$\n \n -153.8\n \n -13.4\n \n 0.9106\n
\n 氯苯\n \n \n Clc1ccccc1<\\s>\n \n \n -45.6\n \n 132\n \n 1.1058\n
\n 溴苯\n \n \n Brc1ccccc1<\\s>\n \n \n -30.8\n \n 156\n \n 1.495\n
\n 碘苯\n \n \n Ic1ccccc1<\\s>\n \n \n -31.3\n \n 188.3\n \n 1.8308\n
\n 邻二氯苯\n \n \n Clc1ccccc1Cl<\\s>\n \n \n -17\n \n 180.5\n \n 1.3048\n
\n 对二氯苯\n \n \n Clc1ccc(Cl)cc1<\\s>\n \n \n 53.1\n \n 174\n \n 1.2475\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_11", "image_path": "OTableR/img/zh_11_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表7-3 几种常用混合指示剂\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 指示剂溶液的组成\n \n 变色点pH值\n \n 颜色\n \n 备注\n
\n 酸色\n \n 碱色\n
\n 一份0.1%甲基黄乙醇溶液\n
\n 一份0.1%次甲基蓝乙醇溶液\n 		\n 3.25\n \n 蓝紫\n \n 绿\n \n pH3.4 绿色\n
\n pH3.2 蓝紫色\n
\n 一份0.1%甲基橙水溶液\n
\n 一份0.25%靛蓝二磺酸水溶液\n 		\n 4.1\n \n 紫\n \n 黄绿\n \n
\n 一份0.1%溴甲酚绿钠盐水溶液\n
\n 一份0.02%甲基橙水溶液\n 		\n 4.3\n \n 橙\n \n 蓝绿\n \n pH3.5 黄色，4.05绿色\n
\n 4.8浅绿\n
\n 三份0.1%溴甲酚绿乙醇溶液\n
\n 一份0.2%甲基红乙醇溶液\n 		\n 5.1\n \n 酒红\n \n 绿\n \n
\n 一份0.1%溴甲酚绿钠盐水溶液\n
\n 一份 0.1%氯酚红钠盐水溶液\n 		\n 6.1\n \n 黄绿\n \n 蓝紫\n \n pH5.4 蓝绿色，5.8蓝色\n
\n 6.0 蓝带紫，6.2 蓝紫\n
\n 一份0.1%中性红乙醇溶液\n
\n 一份0.1%次甲基蓝乙醇溶液\n 		\n 7.0\n \n 蓝紫\n \n 绿\n \n pH7.0 紫蓝\n
\n 一份0.1%甲酚红钠盐水溶液\n
\n 三份0.1%百里酚蓝钠盐水溶液\n 		\n 8.3\n \n 黄\n \n 紫\n \n pH8.2 玫瑰红，\n
\n pH8.4 清晰的紫色\n
\n 一分0.1%百里酚蓝 50%乙醇溶液\n
\n 三份0.1%酚酞%乙醇溶液\n 		\n 9.0\n \n 黄\n \n 紫\n \n 从黄到绿再到紫\n
\n 一份0.1%酚酞乙醇溶液\n
\n 一份0.1%百里酚酞乙醇溶液\n 		\n 9.9\n \n 无\n \n 紫\n \n pH9.6 玫瑰红，10紫红\n
\n 二份0.1%百里酚乙醇溶液\n
\n 一份0.1%茜素黄R乙醇溶液\n 		\n 10.2\n \n 黄\n \n 紫\n \n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_12", "image_path": "OTableR/img/zh_12_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表10-3 常用金属指示剂\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 指示剂\n \n 适宜 pH\n
\n 范围\n 		\n 颜色变化\n
\n MIn→In\n 		\n 直接滴定离子\n \n 封闭离子\n \n 配制\n
\n 铬黑T\n \n 9~10.5\n \n 红→蓝\n \n $\\mathrm{Mg}^{2+}$、$\\mathrm{Zn}^{2+}$、$\\mathrm{Cd}^{2+}$、$\\mathrm{Pb}^{2+}$、\n
\n $\\mathrm{Mn}^{2+}$、$\\mathrm{Hg}^{2+}$等\n 		\n $\\mathrm{Al}^{3+}$、$\\mathrm{Fe}^{3+}$、$\\mathrm{Ti}^{4+}$、\n
\n $\\mathrm{Co}^{2+}$、$\\mathrm{Ni}^{2+}$、$\\mathrm{Cu}^{2+}$\n 		\n 与 NaCl 之比为1:100\n
\n 的固体混合物\n
\n 钙指示剂\n \n 12~13\n \n 红→蓝\n \n $\\mathrm{Ca}^{2+}$\n \n $\\mathrm{Al}^{3+}$、$\\mathrm{Fe}^{3+}$、$\\mathrm{Cu}^{2+}$、\n
\n $\\mathrm{Ni}^{2+}$、$\\mathrm{Ti}^{4+}$\n 		\n 与 NaCl 之比为1:100\n
\n 的固体混合物\n
\n PAN\n \n 2~10\n \n 红→黄\n \n $\\mathrm{Ca}^{2+}$、$\\mathrm{Bi}^{3+}$、$\\mathrm{Zn}^{2+}$、$\\mathrm{Cd}^{2+}$、\n
\n $\\mathrm{Pb}^{2+}$、$\\mathrm{Hg}^{2+}$、$\\mathrm{Sn}^{2+}$、$\\mathrm{Fe}^{2+}$、\n
\n $\\mathrm{Ni}^{2+}$、$\\mathrm{Mn}^{2+}$、$\\mathrm{In}^{3+}$、$\\mathrm{In}^{4+}$ 及稀\n
\n 土\n 		\n $\\mathrm{Ni}^{2+}$\n \n 0.1%~0.2%乙醇或\n
\n 甲醇溶液\n
\n 二甲酚橙\n \n <6\n \n 红→黄\n \n （pH=5~6）$\\mathrm{Zn}^{2+}$、$\\mathrm{Pb}^{2+}$、\n
\n $\\mathrm{Cd}^{2+}$、 $\\mathrm{Hg}^{2+}$、$\\mathrm{Tl}^{4+}$、$\\mathrm{La}^{3+}$、\n
\n $\\mathrm{Y}^{2+}$、（pH=1~2）$\\mathrm{Bi}^{3+}$、（pH、\n
\n <1）$\\mathrm{Zn}^{2+}$\n 		\n $\\mathrm{Al}^{3+}$、$\\mathrm{Fe}^{3+}$、$\\mathrm{Cu}^{2+}$、\n
\n $\\mathrm{Co}^{2+}$、$\\mathrm{Ni}^{2+}$\n 		\n 0.5%乙醇溶液或水\n
\n 溶液\n
\n 酸性铬蓝K\n \n 8~13\n \n 红→蓝\n \n $\\mathrm{Ca}^{2+}$、$\\mathrm{Mg}^{2+}$、$\\mathrm{Mn}^{2+}$、$\\mathrm{Zn}^{2+}$\n \n \n 0.1%乙醇溶液\n
\n 磺基水杨酸\n \n 1.5~2.5\n \n 红→黄\n \n $\\mathrm{Fe}^{3+}$\n \n \n 1%〜2%水溶液\n
\n-6-硝基-2-萘酚-4-磺酸钠，\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_13", "image_path": "OTableR/img/zh_13_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表8-17 不同预测模型的综合平均误差率\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 预测模型\n \n 预测指标\n \n 平均误差率\n \n 综合平均误差率\n \n 运行时间/s\n
\n 1. 因子线性回归\n \n $\\mathrm{Y}_1$\n \n 0.0860\n \n 0.1435\n \n —\n
\n $\\mathrm{Y}_2$\n \n 0.2652\n
\n $\\mathrm{Y}_3$\n \n 0.0994\n
\n $\\mathrm{Y}_4$\n \n 0.0530\n
\n $\\mathrm{Y}_5$\n \n 0.2139\n
\n 2. 因子对数回归\n \n $\\mathrm{Y}_1$\n \n 0.1467\n \n 0.2389\n \n —\n
\n $\\mathrm{Y}_2$\n \n 0.3598\n
\n $\\mathrm{Y}_3$\n \n 0.3013\n
\n $\\mathrm{Y}_4$\n \n 0.0615\n
\n $\\mathrm{Y}_5$\n \n 0.3251\n
\n 3. BP 神经网络\n \n $\\mathrm{Y}_1$\n \n 0.0410\n \n 0.0936\n \n 96\n
\n $\\mathrm{Y}_2$\n \n 0.1509\n
\n $\\mathrm{Y}_3$\n \n 0.1320\n
\n $\\mathrm{Y}_4$\n \n 0.0246\n
\n $\\mathrm{Y}_5$\n \n 0.1194\n
\n 4. 遗传神经网络\n \n $\\mathrm{Y}_1$\n \n 0.0282\n \n 0.0672\n \n 98\n
\n $\\mathrm{Y}_2$\n \n 0.1278\n
\n $\\mathrm{Y}_3$\n \n 0.0514\n
\n $\\mathrm{Y}_4$\n \n 0.0169\n
\n $\\mathrm{Y}_5$\n \n 0.1118\n
\n 5. 标准粒子群神经网络\n \n $\\mathrm{Y}_1$\n \n 0.0308\n \n 0.0699\n \n 162\n
\n $\\mathrm{Y}_2$\n \n 0.1368\n
\n $\\mathrm{Y}_3$\n \n 0.0460\n
\n $\\mathrm{Y}_4$\n \n 0.0238\n
\n $\\mathrm{Y}_5$\n \n 0.1121\n
\n 6. 改进粒子群神经网络\n \n $\\mathrm{Y}_1$\n \n 0.0221\n \n 0.0356\n \n 117\n
\n $\\mathrm{Y}_2$\n \n 0.0498\n
\n $\\mathrm{Y}_3$\n \n 0.0162\n
\n $\\mathrm{Y}_4$\n \n 0.0226\n
\n $\\mathrm{Y}_5$\n \n 0.0672\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_14", "image_path": "OTableR/img/zh_14_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "续上表\n\n \n \n \n \n \n \n \n \n \n \n \n \n
\n 教\n
\n 师\n
\n 丙\n 		\n [实验] 引导学生做铜与$\\mathrm{HNO}_3$（浓） 反应的实验, 学生观察\n
\n 到：开始液体内变黑，反应速率缓慢，然后速率加快，试管内\n
\n 液体上方有红棕色气体，最终溶液变成蓝色。\n
\n 思维加工过程（铜与稀硝酸反应的探究（略））：\n
\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 实验现象\n \n 液体\n
\n 变黑\n 		\n 反应速率由慢到快\n \n 生成红棕\n
\n 色气体\n 		\n 溶液变\n
\n 成蓝色\n
\n 思维\n
\n 加工\n 		\n 生成\n
\n CuO\n 		\n 生成的$\\mathrm{Cu}^{2+}$或$\\mathrm{NO}_2$作该\n
\n 反应的催化剂，反应放热等\n 		\n 生成\n
\n $\\mathrm{NO}_2$\n 		\n 生成\n
\n $\\mathrm{Cu}^{2+}$\n
\n
\n 变黑过程：（$\\mathrm{HNO}_3$ 作用：氧化性）\n
\n $\\mathrm{Cu}+2 \\mathrm{HNO}_3(浓)=\\mathrm{CuO}+2 \\mathrm{NO}_2 \\uparrow+\\mathrm{H}_2 \\mathrm{O}$\n
\n 变蓝过程：$\\mathrm{HNO}_3$ 作用：酸性）\n
\n $\\mathrm{CuO}+2 \\mathrm{HNO}_3=\\mathrm{Cu}\\left(\\mathrm{NO}_3\\right)_2+\\mathrm{H}_2 \\mathrm{O}$\n
\n 总反应：（$\\mathrm{HNO}_3$ 作用: 氧化性和酸性）\n
\n $\\mathrm{Cu}+4 \\mathrm{HNO}_3(浓)=\\mathrm{Cu}\\left(\\mathrm{NO}_3\\right)_2+2 \\mathrm{NO}_2 \\uparrow+2 \\mathrm{H}_2 \\mathrm{O}$\n 		\n “自主实验探究式”教学，\n
\n 学生在科学探究中获取新\n
\n 知识（研究性学习或探究\n
\n 性学习模式）\n
\n 教\n
\n 师\n
\n 丁\n 		\n 授新课时方法同教师丙。在学习“化学平衡”知识时，要求\n
\n 学生探讨：“为什么铜与浓硝酸反应生成$\\mathrm{NO}_2$, 与稀硝酸反应\n
\n 生成NO?”学生分小组讨论，得出如下结论：根据$3 \\mathrm{NO}_2 +\n
\n \\mathrm{H}_2 \\mathrm{O}\\rightleftharpoons 2 \\mathrm{HNO}_3+\\mathrm{NO} $，增大$\\mathrm{c_{硝酸}}$，平衡向着生成$\\mathrm{NO}_2$的方向\n
\n 移动；减少$\\mathrm{c}_{硝酸}$，平衡向着生成NO的方向移动。故铜与浓硝\n
\n 酸反应生成$\\mathrm{NO}_2$，与稀硝酸反应生成$\\mathrm{NO}$。\n 		\n 复杂的问题用简单的平衡\n
\n 移动原理给予诠释，学生\n
\n 进行思考、概括，在探讨\n
\n 中获取新知识。\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_15", "image_path": "OTableR/img/zh_15_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 制品名称\n \n 接种对象\n \n 初种\n \n 复种剂\n
\n 量（mL）\n 		\n 接种部位、途径\n
\n 与方法\n 		\n 保存\n
\n 条件（°C）\n
\n 次\n
\n 数\n 		\n 间隔期\n \n 剂量（mL）\n
\n 第一次\n \n 第二次\n \n 第三次\n
\n 卡介苗（皮内及\n
\n 划痕两种）\n 		\n 初种：初生儿\n
\n 复种：\n
\n 1，4，7，10，14岁\n 		\n 1\n \n \n 划痕，1滴（初生儿）\n
\n 皮内，0.1（其他年\n
\n 龄）\n 		\n 同初种\n
\n 剂量\n 		\n 左上臂外侧中部。皮\n
\n 上划“井”字痕。皮内\n
\n 注射先做结核菌素试\n
\n 验，阴性者才能接种\n 		\n 2~10\n
\n 痘苗\n \n 初种：1 周岁以\n
\n 下\n
\n 复种：每隔6年\n
\n 普种1次\n 		\n 1\n \n \n 1滴\n \n 同初种\n
\n 剂量\n 		\n 右上臂中部外侧，每人\n
\n 1滴，多坟法（上、下平\n
\n 压20~30次）\n 		\n 2~10\n
\n 脊髓灰质炎糖\n
\n 丸活疫苗\n 		\n 初种：1个月开\n
\n 始\n
\n 复种：0~2岁\n
\n 儿童\n 		\n 2\n \n 4~8\n
\n 周\n 		\n I\n
\n 型\n
\n 1\n
\n 粒\n 		\n II+\n
\n III型\n
\n 各1粒\n 		\n \n 先服I\n
\n 型，隔4\n
\n ~6周\n
\n 再服II\n
\n +III型\n 		\n 口服每年1次，连服 3\n
\n 年（用冷开水送服）\n 		\n 2~10\n
\n 麻疹减毒活\n
\n 疫苗\n 		\n 初种：8个月以\n
\n 上易感儿童\n
\n 复种：另定\n 		\n 1\n \n \n 0.2\n \n \n 皮下注射\n \n 2~10\n
\n 百日咳、白喉、\n
\n 破伤风混合制\n
\n 剂\n 		\n 初种：5个月以\n
\n 上婴儿\n
\n 复种：3周岁儿\n 		\n 3\n \n 4~8\n
\n 周\n 		\n 0.25\n \n 0.5\n \n 0.5\n \n 0.5\n \n 皮下注射\n \n 2~10\n
\n 精制白喉、破伤\n
\n 风类毒素或单\n
\n 项制品\n 		\n 1~5年级小学\n
\n 生\n 		\n 2\n \n 4~8\n
\n 周\n 		\n 0.5\n \n 0.5\n \n 0.5\n \n 0.5\n \n 皮下注射\n \n 2~10\n
\n 流行性乙型脑\n
\n 炎疫苗\n 		\n 1~6岁\n \n 2\n \n 7 ~ 10\n
\n 天\n 		\n 0.5\n \n 0.5\n \n \n 0.5\n \n 皮下注射；全程注射\n
\n 后，每年加强1次\n 		\n 2~10\n
\n 7~14岁\n \n 1.0\n \n 1.0\n \n \n 1.0\n
\n 流行性脑脊髓\n
\n 膜炎吸附菌苗\n 		\n 1~6周岁儿童\n \n 2\n \n 4~8\n
\n 周\n 		\n 0.3\n \n 0.5\n \n \n 0.5\n \n 皮下注射；全程注射\n
\n 后，每年加强1次\n 		\n 干、冷、\n
\n 暗处\n
\n443\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_16", "image_path": "OTableR/img/zh_16_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 周期\\族\n \n IA\n \n IIA\n \n \n IIIA\n \n IVA\n \n VA\n \n VIA\n \n VIIA\n \n 0\n
\n 1\n \n H\n
\n 2.1\n 		\n \n \n \n \n \n \n He\n
\n 2\n \n Li\n
\n 1.0\n 		\n Be\n
\n 1.5\n 		\n B\n
\n 2.0\n 		\n C\n
\n 2.5\n 		\n N\n
\n 3.0\n 		\n O\n
\n 3.5\n 		\n F\n
\n 4.0\n 		\n Ne\n
\n 3\n \n Na\n
\n 0.9\n 		\n Mg\n
\n 1.2\n 		\n IIIB\n \n IVB\n \n VB\n \n VIB\n \n VIIB\n \n VIII\n \n IB\n \n IIB\n \n Al\n
\n 1.5\n 		\n Si\n
\n 1.8\n 		\n P\n
\n 2.1\n 		\n S\n
\n 2.5\n 		\n Cl\n
\n 3.5\n 		\n Ar\n
\n 4\n \n K\n
\n 0.8\n 		\n Ca\n
\n 1.0\n 		\n Sc\n
\n 1.3\n 		\n Ti\n
\n 1.5\n 		\n V\n
\n 1.6\n 		\n Cr\n
\n 1.6\n 		\n Mn\n
\n 1.5\n 		\n Fe\n
\n 1.8\n 		\n Co\n
\n 1.9\n 		\n Ni\n
\n 1.9\n 		\n Cu\n
\n 1.6\n 		\n Zn\n
\n 1.6\n 		\n Ga\n
\n 1.8\n 		\n Ge\n
\n 2.0\n 		\n As\n
\n 2.0\n 		\n Se\n
\n 2.4\n 		\n Br\n
\n 2.8\n 		\n Kr\n
\n 5\n \n Rb\n
\n 0.8\n 		\n Sr\n
\n 1.0\n 		\n Y\n
\n 1.2\n 		\n Zr\n
\n 1.4\n 		\n Nb\n
\n 1.6\n 		\n Mo\n
\n 1.8\n 		\n Tc\n
\n 1.9\n 		\n Ru\n
\n 2.2\n 		\n Rh\n
\n 2.2\n 		\n Pd\n
\n 2.2\n 		\n Ag\n
\n 1.9\n 		\n Cd\n
\n 1.7\n 		\n In\n
\n 1.7\n 		\n Sn\n
\n 1.9\n 		\n Sb\n
\n 1.9\n 		\n Te\n
\n 2.1\n 		\n I\n
\n 2.5\n 		\n Xe\n
\n 6\n \n Cs\n
\n 0.7\n 		\n Ba\n
\n 0.9\n 		\n La-Lu\n
\n 10.-1.2\n 		\n Hf\n
\n 1.3\n 		\n Ta\n
\n 1.5\n 		\n W\n
\n 1.7\n 		\n Rc\n
\n 1.9\n 		\n Os\n
\n 2.2\n 		\n Ir\n
\n 2.2\n 		\n Pt\n
\n 2.2\n 		\n Au\n
\n 2.4\n 		\n Hg\n
\n 1.9\n 		\n Tl\n
\n 1.8\n 		\n Pb\n
\n 1.9\n 		\n Bi\n
\n 1.9\n 		\n Po\n
\n 2.0\n 		\n At\n
\n 2.2\n 		\n Rn\n
\n 7\n \n Fr\n
\n 0.7\n 		\n Ra\n
\n 0.9\n 		\n Ac\n
\n 1.1\n 		\n Th\n
\n 1.3\n 		\n Pa\n
\n 1.4\n 		\n U\n
\n 1.4\n 		\n Np-No\n
\n 1.4-1.3\n 		\n
\n非金属性强弱。电负性越小，金属\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_17", "image_path": "OTableR/img/zh_17_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 标定对象\n \n 基准物质\n \n 干燥后组成\n \n 干燥条件/°C\n
\n 名称\n \n 化学式\n
\n 酸\n \n 碳酸氢钠\n \n $\\mathrm{NaHCO}_3$\n \n $\\mathrm{Na}_2 \\mathrm{CO}_3$\n \n 270~300\n
\n 十水合碳酸钠\n \n $\\mathrm{Na}_2 \\mathrm{CO}_3 \\cdot 10 \\mathrm{H}_2 \\mathrm{O}$\n \n $\\mathrm{Na}_2 \\mathrm{CO}_3$\n \n 270~300\n
\n 无水碳酸钠\n \n $\\mathrm{Na}_2 \\mathrm{CO}_3$\n \n $\\mathrm{Na}_2 \\mathrm{CO}_3$\n \n 270~300\n
\n 碳酸氢钾\n \n $\\mathrm{KHCO}_3$\n \n $\\mathrm{K}_2 \\mathrm{CO}_3$\n \n 270~300\n
\n 硼砂\n \n $\\mathrm{Na}_2 \\mathrm{~B}_4 \\mathrm{O}_7 \\cdot 10 \\mathrm{H}_2 \\mathrm{O}$\n \n $\\mathrm{Na}_2 \\mathrm{B}_4 \\mathrm{O}_7 \\cdot 10 \\mathrm{H}_2 \\mathrm{O}$\n \n 放在装有 NaCl 和蔗糖\n
\n 饱和溶液的干燥器中\n
\n 碱或\n
\n $\\mathrm{KMnO}_4$\n
\n 碱\n 		\n 二水合草酸\n \n $\\mathrm{H}_2 \\mathrm{C}_2 \\mathrm{O}_4 \\cdot 2 \\mathrm{H}_2 \\mathrm{O}$\n \n $\\mathrm{H}_2 \\mathrm{C}_2 \\mathrm{O}_4 \\cdot 2 \\mathrm{H}_2 \\mathrm{O}$\n \n 室温空气干燥\n
\n 邻苯二甲酸氢钾\n \n $\\mathrm{KHC}_8 \\mathrm{H}_4 \\mathrm{O}_4$\n \n $\\mathrm{KHC}_8 \\mathrm{H}_4 \\mathrm{O}_4$\n \n 105-110\n
\n 还原剂\n \n 重铬酸钾\n \n $\\mathrm{K}_2 \\mathrm{Cr}_2 \\mathrm{O}_7$\n \n $\\mathrm{K}_2 \\mathrm{Cr}_2 \\mathrm{O}_7$\n \n 120\n
\n 溴酸钾\n \n $\\mathrm{KBrO}_3$\n \n $\\mathrm{KBrO}_3$\n \n 180\n
\n 碘酸钾\n \n $\\mathrm{KIO}_3$\n \n $\\mathrm{KIO}_3$\n \n 180\n
\n 铜\n \n $\\mathrm{Cu}$\n \n $\\mathrm{Cu}$\n \n 室温干燥器中保存\n
\n 氧化剂\n \n 三氧化二砷\n \n $\\mathrm{As}_2 \\mathrm{O}_3$\n \n $\\mathrm{As}_2 \\mathrm{O}_3$\n \n 硫酸干燥器中保存\n
\n 草酸钠\n \n $\\mathrm{Na}_2 \\mathrm{C}_2 \\mathrm{O}_4$\n \n $\\mathrm{Na}_2 \\mathrm{C}_2 \\mathrm{O}_4$\n \n 105\n
\n EDTA\n \n 碳酸钙\n \n $\\mathrm{CaCO}_3$\n \n $\\mathrm{CaCO}_3$\n \n 110\n
\n 锌\n \n $\\mathrm{Zn}$\n \n $\\mathrm{Zn}$\n \n 室温干燥器中保存\n
\n 氧化锌\n \n $\\mathrm{ZnO}$\n \n $\\mathrm{ZnO}$\n \n 800\n
\n $\\mathrm{AgNO}_3$\n \n 氧化钠\n \n $\\mathrm{NaCl}$\n \n $\\mathrm{NaCl}$\n \n 500~550\n
\n
\n 氯化钾\n \n $\\mathrm{KCl}$\n \n $\\mathrm{KCl}$\n \n 500~550\n
\n
\n 氧化物\n \n 硝酸银\n \n $\\mathrm{AgNO}_3$\n \n $\\mathrm{AgNO}_3$\n \n 硫酸干燥器中保存\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_18", "image_path": "OTableR/img/zh_18_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 物质名称\n \n 通用分子式（结构式）\n \n 希尔体系分子式\n
\n 硫酸\n \n $\\mathrm{H}_2 \\mathrm{SO}_4$\n \n $\\mathrm{H}_2 \\mathrm{O}_4 \\mathrm{S}$\n
\n 溴乙酰\n \n <s>CC(=O)Br<\\s>\n \n $\\mathrm{C}_2 \\mathrm{H}_3 \\mathrm{BrO}$\n
\n 高锰酸铷\n \n $\\mathrm{RbMnO}_4$\n \n $\\mathrm{MnO}_4 \\mathrm{Rb}$\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_19", "image_path": "OTableR/img/zh_19_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表6.2-5 高铅晶质玻璃的成分 （质量分数/%）\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 编号\n \n $\\mathrm{SiO}_2$\n \n $\\mathrm{Al}_2 \\mathrm{O}_3$\n \n $\\mathrm{B}_2 \\mathrm{O}_3$\n \n $\\mathrm{Fe}_2 \\mathrm{O}_3$\n \n $\\mathrm{ZnO}$\n \n $\\mathrm{PbO}$\n \n $\\mathrm{BaO}$\n \n $\\mathrm{K}_2 \\mathrm{O}$\n \n $\\mathrm{Na}_2 \\mathrm{O}$\n \n $\\mathrm{As}_2 \\mathrm{O}_3$\n
\n 1\n \n 57.31\n \n 0.77\n \n \n 0.01\n \n \n 31.35\n \n \n 10.00\n \n 0.25\n \n 0.50\n
\n 2\n \n 55.50\n \n \n \n \n \n 30.00\n \n \n 14.50\n \n \n 0.50\n
\n 3\n \n 55.50\n \n \n \n \n \n 30.00\n \n \n 12.50\n \n 2.00\n \n
\n 4\n \n 54.90\n \n 0.20\n \n \n \n \n 31.70\n \n \n 8.20\n \n 5.00\n \n
\n 5\n \n 53.00\n \n \n \n \n \n 31.00\n \n 5.00\n \n 9.00\n \n 2.00\n \n
\n 6\n \n 53.30\n \n \n 0.40\n \n \n \n 31.40\n \n 0.80\n \n 12.20\n \n 1.00\n \n
\n 7\n \n 53.00\n \n \n \n \n \n 33.00\n \n \n 13.00\n \n 1.00\n \n
\n 8\n \n 50.12\n \n \n \n \n 2.93\n \n 34.50\n \n \n 10.20\n \n 1.70\n \n
\n 9\n \n 53.10\n \n 0.50\n \n \n 0.02\n \n \n 35.10\n \n \n 11.40\n \n \n
\n 10\n \n 42.00\n \n \n \n \n \n 48.00\n \n \n 7.00\n \n 3.00\n \n
\n 11\n \n 46.00\n \n 0.30\n \n \n \n \n 43.90\n \n \n 8.40\n \n 1.40\n \n
\n折射率1.582；2，3——苏联生产的成分，2的折射率为1.566，3的折\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_1", "image_path": "OTableR/img/zh_1_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表8.7-1 功能玻璃的分类\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 功能\n \n 实例或应用\n
\n 光功能\n \n 光传输\n \n 光纤（光通信、能量传输）\n
\n 激光的激振\n \n 激光核聚变\n
\n 光存储\n \n 光盘光存储膜\n
\n 光致变色\n \n 调节光透过率的光致变色玻璃\n
\n 声光效应\n \n 光开关\n
\n 法拉第旋光\n \n 光偏转\n
\n 非线性光学\n \n 光开关及维持相位的偏转\n
\n 聚光、镜头作用\n \n 折射率分布镜头\n
\n 光波长选择性透过或反射\n \n 隔热玻璃、反射或防反射玻璃\n
\n 超平滑的基板\n \n 光盘基板\n
\n 电磁功能\n \n 光传输\n \n 电视摄像管元件\n
\n 离子导电\n \n 固体电池\n
\n 延迟声波\n \n 延迟线玻璃\n
\n 光电性\n \n PDP 等显示器\n
\n 热功能\n \n 耐热\n \n 耐热材料\n
\n 低膨胀\n \n 光掩膜基板\n
\n 低熔点封接\n \n 封装、焊接\n
\n 机械功能\n \n 高弹性模量\n \n 增强用纤维（氧氮玻璃）\n
\n 高韧性\n \n 结构材料\n
\n 机械加工\n \n 可机械加工的绝缘材料\n
\n 化学功能\n \n 化学分离及酵母菌载体\n \n 微孔玻璃\n
\n 熔融固化\n \n 放射性废弃物的固化\n
\n 耐碱性\n \n 混凝土增强\n
\n 生物功能\n \n 生物活性\n \n 人工骨、人工牙根\n
\n 人工齿\n \n 齿冠\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_20", "image_path": "OTableR/img/zh_20_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 分布\n \n 数学期望E(X)\n \n 方差D(X)\n
\n 0-1分布 B(1,p)\n \n p\n \n p(1-p)\n
\n 二项分布 B(n,p)\n \n np\n \n np(1-p)\n
\n 泊松分布 P(λ)\n \n λ\n \n λ\n
\n 几何分布 G(p)\n \n $\\frac{1}{p}$\n \n $\\frac{1-p}{p^2}$\n
\n 超几何分布 H(N,M,n)\n \n $n \\frac{M}{N}$\n \n $n \\frac{M}{N}\\left(1-\\frac{M}{N}\\right) \\frac{N-n}{N-1}$\n
\n 均匀分布 U(a,b)\n \n $\\frac{a+b}{2}$\n \n $\\frac{(b-a)^2}{12}$\n
\n 正态分布 N(μ,$\\sigma^2$)\n \n μ\n \n $\\sigma^2$\n
\n 指数分布 E(λ)\n \n $\\frac{1}{λ}$\n \n $\\frac{1}{λ^2}$\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_21", "image_path": "OTableR/img/zh_21_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "续表\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 总\n
\n 体\n 		\n 待估\n
\n 参数\n 		\n 其他参\n
\n 数情况\n 		\n 抽样分布\n \n 置信区间\n
\n 两\n
\n 个\n
\n 正\n
\n 态\n
\n 总\n
\n 体\n 		\n $\\frac{\\sigma_1^2}{\\sigma_2^2}$\n \n $\\mu_1, \\mu_2$已知\n \n $\\frac{\\frac{1}{\\sigma_1^2} \\sum_{i=1}^{n_1}\\left(X_i-\\mu_1\\right)^2 / n_1}{\\frac{1}{\\sigma_2^2} \\sum_{i=1}^{n_2}\\left(Y_i-\\mu_2\\right)^2 / n_2}$\n
\n $\\sim F\\left(n_1, n_2\\right)$\n 		\n $\\left(\\frac{\\frac{1}{n_1} \\sum_{i=1}^{n_1}\\left(X_i-\\mu\\right)^2 / \\frac{1}{n_2} \\sum_{i=1}^{n_2}\\left(Y_i-\\mu\\right)^2}{F_{\\alpha / 2}\\left(n_1, n_2\\right)}\\right)$,\n
\n $\\frac{\\frac{1}{n_1} \\sum_{i=1}^{n_1}\\left(X_i-\\mu\\right)^2 / \\frac{1}{n_2} \\sum_{i=1}^{n_2}\\left(Y_i-\\mu\\right)^2}{F_{1-\\alpha / 2}\\left(n_1, n_2\\right)}$\n
\n $\\mu_1, \\mu_2$未知\n \n $\\frac{S_1^2 / S_2^2}{\\sigma_1^2 / \\sigma_2^2}$\n
\n $\\sim F\\left(n_1-1, n_2-1\\right)$\n 		\n $\\left(\\frac{S_1^2}{S_2^2} \\times \\frac{1}{F_{\\alpha / 2}\\left(n_1-1, n_2-1\\right)}\\right)$,\n
\n $\\left(\\frac{S_1^2}{S_2^2} \\times \\frac{1}{F_{1-\\alpha / 2}\\left(n_1-1, n_2-1\\right)}\\right)$\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_22", "image_path": "OTableR/img/zh_22_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表5-1 事件间的关系与运算\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 事件间关系与运算的文字叙述\n \n 集合论中的表示法\n \n 概率论中的含义\n
\n 事件A包含事件B\n \n $A \\supset B$(或$B \\subset A$)\n \n 事件B发生，则事件A一定发生\n
\n 事件A和B相等\n \n $A=B$\n \n 事件A发生，则B一定发生；反之\n
\n 亦然\n
\n 事件A与B之和（或并）\n \n $A \\cup B$或$A+B$\n \n 两个事件A，B中，至少有一个事件发生\n
\n 有限个事件$A_1, A_2, \\cdots, A_n$\n
\n 的和（或并）\n 		\n $\\bigcup_{i=1}^n A_i$或$\\sum_{i=1}^n A_i$\n \n n个事件$A_1, A_2, \\cdots, A_n$中至少有\n
\n 一个事件发生\n
\n 可列个事件$A_1, \\cdots, A_n, \\cdots$\n
\n 的和（或并）\n 		\n $\\bigcup_{i=1}^{\\infty} A_i$或$\\sum_{i=1}^{\\infty} A_i$\n \n 可列个事件$A_1, \\cdots, A_n, \\cdots$中至少\n
\n 有一个事件发生\n
\n 事件A与B的积(或交)\n \n $A \\cap B$（简记为AB）\n \n 事件$A \\cap B$ 发生，当且仅当A与B\n
\n 同时发生\n
\n 有限个事件$A_1, A_2, \\cdots, A_n$\n
\n 的积（或交）\n 		\n $A_1 \\cap A_2 \\cap \\cdots \\cap A_n$\n
\n (简记为 $A_1 A_2 \\cdots A_n$)\n 		\n n个事件$A_1, A_2, \\cdots, A_n$同时发生\n
\n 可列个事件$A_1, \\cdots, A_n, \\cdots$\n
\n 的积(或交)\n 		\n $\\bigcap_{i=1}^{\\infty} A_i$\n \n 可列个事件 $A_1, \\cdots, A_n, \\cdots$同时发\n
\n 生\n
\n 事件A与B的差\n \n А-В\n \n 事件A-B发生，当且仅当事件A\n
\n 发生，B不发生\n
\n 事件A的逆事件（或对立事\n
\n 件）\n 		\n $\\bar{A}=\\Omega-A$\n \n 事件$\\bar{A}$发生，当且仅当事件A不\n
\n 发生\n
\n 事件A 和B互不相容（或A\n
\n 与B互斥）\n 		\n $A \\cap B=\\varnothing$\n \n 事件A与B 不可能同时发生\n
\n 事件$A_1, \\cdots, A_n$是一个完全\n
\n 事件组\n 		\n $A_1 \\cup \\cdots \\cup A_n=\\Omega$\n
\n $A_i A_j=\\varnothing, 1 \\leqslant i \\neq j \\leqslant n$\n 		\n n个事件$A_1, \\cdots, A_n$中仅发生且必\n
\n 发生其中之一\n
\n 事件$A_1, A_2, \\cdots$是一个完全\n
\n 事件组\n 		\n $A_1 \\cup A_2 \\cup \\cdots=\\Omega$\n
\n $A_i A_j=\\varnothing, 1 \\leqslant i<j<+\\infty$\n 		\n 可列个事件$A_1, A_2, \\cdots$中仅发生且\n
\n 必发生其中之一\n
\n116\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_23", "image_path": "OTableR/img/zh_23_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "假设检验（见表12-1，表12-2）\n表12-1 单个正态总体未知参数假设检验（检验水平α）\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 原假设\n
\n $H_0$\n 		\n 备择假设\n
\n $H_1$\n 		\n 条件\n \n 检验统计量\n
\n 及其分布\n 		\n 拒绝域\n
\n $\\mu=\\mu_0$\n \n $\\mu \\neq \\mu_0$\n \n $\\sigma^2$已知\n \n $U=\\frac{\\bar{X}-\\mu_0}{\\sigma / \\sqrt{n}}$\n
\n $\\sim N(0,1)$\n 		\n $|u| \\geqslant u_{\\frac{\\alpha}{2}}$\n
\n $\\mu \\leqslant \\mu_0$\n \n $\\mu>\\mu_0$\n \n $u \\geqslant u_\\alpha$\n
\n $\\mu \\geqslant \\mu_1$\n \n $\\mu<\\mu_0$\n \n $u \\leqslant-u_\\alpha$\n
\n $\\mu=\\mu_0$\n \n $\\mu \\neq \\mu_0$\n \n $\\sigma^2$未知\n \n $T=\\frac{\\bar{X}-\\mu_0}{S / \\sqrt{n}}$\n
\n $\\sim t(0,1)$\n 		\n $|t| \\geqslant t_{\\alpha / 2}(n-1)$\n
\n $\\mu \\leqslant \\mu_0$\n \n $\\mu>\\mu_0$\n \n $t \\geqslant t_\\alpha(n-1)$\n
\n $\\mu \\geqslant \\mu_1$\n \n $\\mu<\\mu_0$\n \n $t \\leqslant-t_\\alpha(n-1)$\n
\n $\\sigma^2=\\sigma_0^2$\n \n $\\sigma^2 \\neq \\sigma_0^2$\n \n μ已知\n \n $\\chi^2=\\frac{1}{\\sigma_0^2} \\sum_{i=1}^n\\left(X_i-\\mu\\right)^2$\n
\n $\\sim \\chi^2(n)$\n 		\n $\\chi^2 \\leqslant \\chi_{1-\\alpha / 2}^2(n)$\n
\n $或\\chi^2 \\geqslant \\chi_{\\alpha / 2}^2(n)$.\n
\n $\\sigma^2 \\leqslant \\sigma_0^2$\n \n $\\sigma^2>\\sigma_0^2$\n \n $\\chi^2 \\geqslant \\chi_\\alpha^2(n)$\n
\n $\\sigma^2 \\geqslant \\sigma_0^2$\n \n $\\sigma^2<\\sigma_0^2$\n \n $\\chi^2 \\leqslant \\chi_{1-\\alpha}^2(n)$\n
\n $\\sigma^2=\\sigma_0^2$\n \n $\\sigma^2 \\neq \\sigma_0^2$\n \n μ未知\n \n $\\chi^2 & =\\frac{(n-1) S^2}{\\sigma_0^2}$\n
\n $\\sim \\chi^2(n-1)$\n 		\n $\\chi^2 \\leqslant \\chi_{1-\\alpha / 2}^2(n-1)$\n
\n $或\\chi^2 \\geqslant \\chi_{\\alpha / 2}^2(n-1)$.\n
\n $\\sigma^2 \\leqslant \\sigma_0^2$\n \n $\\sigma^2>\\sigma_0^2$\n \n $\\chi^2 \\geqslant \\chi_\\alpha^2(n-1)$\n
\n $\\sigma^2 \\geqslant \\sigma_0^2$\n \n $\\sigma^2<\\sigma_0^2$\n \n $\\chi^2 \\leqslant \\chi_{1-\\alpha}^2(n-1)$\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_24", "image_path": "OTableR/img/zh_24_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 原假设\n
\n $H_0$\n 		\n 备择假设\n
\n $H_1$\n 		\n 条件\n \n 检验统计量\n
\n 及其分布\n 		\n 拒绝域\n
\n $\\mu_1-\\mu_2=\\delta$\n \n $\\mu_1-\\mu_2 \\neq \\delta$\n \n $\\sigma_1^2, \\sigma_2^2$\n
\n 已知\n 		\n $U=\\frac{(\\bar{X}-\\bar{Y})-\\delta}{\\sqrt{\\frac{\\sigma_1^2}{n_1}+\\frac{\\sigma_2^2}{n_2}}}$\n
\n $\\sim N(0,1)$\n 		\n $|u| \\geqslant u_{\\frac{\\alpha}{2}}$\n
\n $\\mu_1-\\mu_2 \\leqslant \\delta$\n \n $\\mu_1-\\mu_2>\\delta$\n \n $u \\geqslant u_\\alpha$\n
\n $\\mu_1-\\mu_2 \\geqslant \\delta$\n \n $\\mu_1-\\mu_2<\\delta$\n \n $u \\leqslant-u_\\alpha$\n
\n $\\mu_1-\\mu_2=\\delta$\n \n $\\mu_1-\\mu_2 \\neq \\delta$\n \n $\\sigma_1^2, \\sigma_2^2$\n
\n 未知\n 		\n $T=\\frac{(\\bar{X}-\\bar{Y})-\\delta}{S_P \\sqrt{\\frac{1}{n_1}+\\frac{1}{n_2}}}$\n
\n $\\sim t\\left(n_1+n_2-2\\right)$\n 		\n $|t| \\geqslant t_{\\frac{\\alpha}{2}}\\left(n_1+n_2-2\\right)$\n
\n $\\mu_1-\\mu_2 \\leqslant \\delta$\n \n $\\mu_1-\\mu_2>\\delta$\n \n $t \\geqslant t_\\alpha\\left(n_1+n_2-2\\right)$\n
\n $\\mu_1-\\mu_2 \\geqslant \\delta$\n \n $\\mu_1-\\mu_2<\\delta$\n \n $t \\leqslant-t_\\alpha\\left(n_1+n_2-2\\right)$\n
\n223\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_25", "image_path": "OTableR/img/zh_25_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n x\n \n ($-\\infty$,-1)\n \n -1\n \n (-1,0)\n \n 0\n \n (0,1)\n \n 1\n \n (1,$+\\infty$)\n
\n $\\varphi^{\\prime}(x)$\n \n +\n \n \n +\n \n 0\n \n -\n \n \n -\n
\n $\\varphi^{\\prime \\prime}(x)$\n \n +\n \n 0\n \n -\n \n \n -\n \n 0\n \n +\n
\n $\\varphi(x)$\n \n $\\nearrow$\n \n $\\left(-1, \\frac{1}{\\sqrt{2 \\pi \\matdrm{e}}}\\right)$\n
\n 拐点\n 		\n $\\nearrow$\n \n $\\frac{1}{\\sqrt{2 \\pi}}$\n
\n 极大\n 		\n $\\searrow$\n \n $\\left(1, \\frac{1}{\\sqrt{2 \\pi \\matdrm{e}}}\\right)$\n
\n 拐点\n 		\n $\\searrow$\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_26", "image_path": "OTableR/img/zh_26_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 时段\n \n 上课期间具体行动\n \n 任务要求\n
\n 每天\n \n • 按时上课，不迟到；\n
\n • 预习功课，及时做笔记及复习；\n
\n • 积极思考，提问；\n
\n • 学习中有不懂的地方，自己思考解决，\n
\n 或者和同学朋友讨论解决，或者找师长\n
\n 帮助解决；\n
\n • 安排好时间做功课，并在规定的时间内\n
\n 完成；\n
\n • 尽量不通过熬夜做功课；\n
\n • 画至少一张风景速写（以A3/A4主）；\n
\n • 利用傍晚的时间运动，跑步，打羽毛球；\n
\n • 读书，学习如何更好地为人处世\n 		\n • 克服容易迟到、容易遗忘的\n
\n 毛病；\n
\n • 养成不拖欠任务的习惯；\n
\n • 学会用多种方式解决问题，\n
\n 学会探讨；\n
\n • 锻炼自己的手绘能力；\n
\n • 保持精力的充沛；\n
\n • 培养和保持良好的人际关系\n
\n 每周\n \n • 检查一周功课中的漏洞，及时补上；\n
\n • 总结一周的速写成效，发现长处、短处，\n
\n 为短处找到解决的办法并制定克服计划\n 		\n • 扬长避短\n
\n 每月\n \n • 总结一个月的学习收获；\n
\n • 找到成就，给自己激励，可以奖励自己；\n
\n 也发现不足（通过反馈表）；找到解决\n
\n 的办法，提醒自己不断进步\n 		\n • 既能看到自己的进步，也要\n
\n 发现自己的缺陷；\n
\n • 既要自信，又要虚心；\n
\n • “胜不骄，败不馁”\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_27", "image_path": "OTableR/img/zh_27_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 城市\\因素\n \n 气候\n \n 距离感\n \n 文化认同度\n \n 发展机会\n \n 人脉\n \n 安全感\n \n 加权后得分\n
\n 加权\n
\n 系数\n 		\n 4\n \n 2\n \n 3\n \n 5\n \n 5\n \n 2\n \n
\n 上海\n \n 适应度高\n \n 离家最近\n \n 给人精明\n
\n 感，排外\n 		\n 曾做暑期\n
\n 工，需\n
\n 求大\n 		\n 有好朋友\n \n 有归属感，\n
\n 熟悉感\n 		\n 4 x 7 +2 × 4 +\n
\n 3 × 4 +5 × 9 +\n
\n 5 x 3 + 2 ×4 = 116\n
\n 原始得分\n \n 7\n \n 4\n \n 4\n \n 9\n \n 3\n \n 4\n
\n 广州\n \n 天气炎热\n \n 离家4000\n
\n 多公里\n 		\n 讲究实际\n
\n 才能，商业\n
\n 氛围好\n 		\n 需求大，\n
\n 地域优势\n 		\n 有老师\n
\n 同学\n 		\n 治安有\n
\n 待加强\n 		\n 4 × 4 +2 x 3\n
\n +3 x 5 + 5\n
\n x 8 +5 x 7\n
\n +2 × 3 = 118\n
\n 原始得分\n \n 4\n \n 3\n \n 5\n \n 8\n \n 7\n \n 3\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_28", "image_path": "OTableR/img/zh_28_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 结构\n \n 性质\n \n 备注\n
\n \n Oc1ccccc1<\\s>\n \n \n $-\\mathrm{OH}$\n \n 1. 与 NaOH、Na 等反应\n
\n 2. 不能使紫色石蕊试液\n
\n 变色\n
\n 3. $\\mathrm{CO}_2$，与苯酚钠生成苯酚\n
\n 4. 发生氧化反应\n 		\n 1. 体现酸性\n
\n 2. 体现弱酸性\n
\n 3. 酸性弱于碳酸\n
\n 4. 体现还原性，置于空\n
\n 气中呈粉红色\n
\n \n Cc1ccccc1<\\s>\n \n \n 5. 与溴水取代\n
\n 6. 显色反应\n
\n 7. 硝化反应\n
\n 8. 与甲醛缩聚\n 		\n 5、6. 用于鉴别和定量测\n
\n 定\n
\n 7. 生产苦味酸\n
\n 8. 生产酚醛树脂\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_29", "image_path": "OTableR/img/zh_29_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表0.2 中国实现国家自主贡献和碳中和目标所需要的投资\n相对参考基线的增量投资\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n （单位：10亿美元）\n \n 2021-25\n \n 2026-30\n \n 2031-40\n \n 2041-50\n \n 2051-60\n \n 总额\n \n 净现值\n
\n （6% 折现率）\n 		\n 净现值\n
\n （无风险利率）\n
\n 电力（发电和电网）\n \n 336\n \n 368\n \n 1,386\n \n 1,992\n \n 200\n \n 4,282\n \n 1,757\n \n 2,588\n
\n 交通\n \n 低碳基础设施\n \n 9\n \n 49\n \n 77\n \n 33\n \n 18\n \n 187\n \n 90\n \n 124\n
\n 燃料与运营效率\n \n -224\n \n 413\n \n 1,471\n \n 370\n \n -102\n \n 1,928\n \n 843\n \n 1,263\n
\n 电气化和燃料转换\n \n 282\n \n 897\n \n 3,029\n \n 1,951\n \n 1,242\n \n 7,403\n \n 2,979\n \n 4,419\n
\n 总额\n \n 403\n \n 1,727\n \n 5,964\n \n 4,347\n \n 1,359\n \n 13,800\n \n 5,668\n \n 8,394\n
\n来源：世行内部分析。GDP预测同CGE模型中的基准情景。\n注：净现值（无风险利率）是根据中国国债收益率曲线计算得出，收益率从1年期债券的2.0%到50年期债券的\\n3.4％不等。\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_2", "image_path": "OTableR/img/zh_2_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表8.7-3 电解质变色材料及电解质性能\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 变色材料\n \n 制备方法\n \n 电解质\n \n 颜色\n \n 插入离子\n
\n $\\mathrm{WO}_3$\n \n 真空蒸发\n \n $\\mathrm{Na}_{1+x} \\mathrm{Zr}_2 \\mathrm{Si}_x \\mathrm{P}_{3-x} 0_{12}$\n \n 透明→蓝\n \n $\\mathrm{Na}^{+}$\n
\n $\\mathrm{WO}_3$\n \n 电子束蒸发\n \n $\\mathrm{ZrO}\\left(含\\mathrm{H}_2 \\mathrm{O}\\right)$\n \n 透明→蓝\n \n $\\mathrm{H}^{+}$\n
\n $\\mathrm{WO}_3 \\cdot n \\mathrm{H}_2 \\mathrm{O}$\n \n 溶胶-凝胶法\n \n $\\mathrm{LiClO}_4 / \\mathrm{PEO}$\n \n 透明→蓝\n \n $\\mathrm{Li}^{+}$\n
\n $\\mathrm{Na}_x \\mathrm{WO}_3$\n \n 真空蒸发\n \n $\\mathrm{Na}^{+}-β-\\mathrm{Al}_2 \\mathrm{O}_3$\n \n 白→蓝\n \n $\\mathrm{Na}^{+}$\n
\n $α-\\mathrm{H}_x \\mathrm{MoO}_3$\n \n 真空蒸发\n \n 酸\n \n 黄→粉红\n \n $\\mathrm{H}^{+}$\n
\n $\\mathrm{~V}_2 \\mathrm{O}_5$\n \n 真空蒸发\n \n $\\mathrm{H}_2 \\mathrm{O}$\n \n 黃→黑\n \n $\\mathrm{H}^{+}$\n
\n $\\mathrm{Ir} \\mathrm{O}_x$\n \n 阳极氧化\n \n $\\mathrm{PbF}_2$\n \n 透明→蓝\n \n $\\mathrm{F}^{-}$\n
\n $\\mathrm{IrO}_x \\cdot n \\mathrm{H}_2 \\mathrm{O}$\n \n 溅射\n \n $\\mathrm{H}_2 \\mathrm{SO}_4(液)$\n \n 透明→蓝\n \n $\\mathrm{OH}^{-}$\n
\n $\\mathrm{Rh}_2 \\mathrm{O}_3 \\cdot n \\mathrm{H}_2 \\mathrm{O}$\n \n 阳极氧化\n \n $\\mathrm{KOH}$\n \n 黄→绿\n \n $\\mathrm{OH}^{-}$\n
\n $\\mathrm{NiO}_2 \\cdot n \\mathrm{H}_2 \\mathrm{O}$\n \n 阳极氧化\n \n $\\mathrm{KOH}$\n \n 透明→黄青\n \n $\\mathrm{OH}^{-}$\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_30", "image_path": "OTableR/img/zh_30_sec.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 截至十二月三十一日止年度\n
\n \n 二零二三年\n \n 二零二二年\n
\n 經重列*\n
\n \n （人民幣百萬元）\n
\n 收入\n \n 609,015\n \n 554,552\n
\n 收入成本\n \n (315,906)\n \n (315,806)\n
\n 毛利\n \n 293,109\n \n 238,746\n
\n 銷售及市場推廣開支\n \n (34,211)\n \n (29,229)\n
\n 一般及行政開支\n \n (103,525)\n \n (106,696)\n
\n 其他收益/（虧損）淨額\n \n 4,701\n \n 8,006*\n
\n 經營盈利\n \n 160074\n \n 110,827*\n
\n 投資收益/（虧損）淨額及其他\n \n (6,090)\n \n 116,287*\n
\n 利息收入\n \n 13,808\n \n 8,592*\n
\n 財務成本\n \n (12,268)\n \n (9,352)\n
\n 分佔聯營公司及合營公司盈利/（虧損）淨額\n \n 5,800\n \n (16,129)\n
\n 除税前盈利\n \n 161,324\n \n 210,225\n
\n 所得税開支\n \n (43,276)\n \n (21,516)\n
\n 年度盈利\n \n 118,048\n \n 188,709\n
\n 下列人士應佔：\n \n \n
\n 本公司權益持有人\n \n 115,216\n \n 188,243\n
\n 非控制性權益\n \n 2,832\n \n 466\n
\n \n 118,048\n \n 188,709\n
\n 非國際財務報告準則經營盈利\n \n 191,886\n \n 143,203*\n
\n 非國際財務報告準則本公司權益持有人應佔盈利\n \n 157,688\n \n 115,649\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_31", "image_path": "OTableR/img/zh_31_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表3 参考情景和 NDC 情景的宏观经济建模结果\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 情景与政策设置\n \n 排放量\n
\n 2030\n 		\n 产出\n
\n 2030\n 		\n 排放量\n
\n 2060\n 		\n 产出\n
\n 2060\n 		\n 累积排放量\n
\n 2022-2060\n 		\n 累计产出\n
\n 2022-2060\n
\n 参考情景（当前气候政\n
\n 策；百万吨二氧化碳当\n
\n 量、或十亿美元）\n 		\n 13,137\n \n 24,849\n \n 7,239\n \n 54,161\n \n 405,180\n \n 1,421,448\n
\n 情景1：碳中和排放，且\n
\n 收入循环利用于投资（相\n
\n 对于基线的变化%）\n
\n • 2030年前碳价达到 75\n
\n 美元/吨，2060年前\n
\n 实现净零排放\n
\n • 收入循环利用于私人\n
\n 投资\n
\n • 劳动力市场摩擦\n
\n • 无协同效益\n 		\n -3.0\n \n -0.02\n \n -95.4\n \n -3.37\n \n -28.13\n \n -0.66\n
\n 情景2：碳中和排放加\n
\n 补偿（相对于基线的\n
\n 变化%）\n
\n • 情景1+\n
\n • 收入完全循环利用于\n
\n 向家庭提供补偿\n 		\n -3.0\n \n -0.02\n \n -95.4\n \n -6.59\n \n -28.13\n \n -2.00\n
\n 情景3：碳中和排放加灵\n
\n 活的劳动力市场（相对于\n
\n 基线的变化%）：\n
\n • 情景2+\n
\n • 结构性改革—灵活的\n
\n 劳动力市场\n 		\n -3.0\n \n 0.40\n \n -95.4\n \n -1.87\n \n -28.13\n \n 0.31\n
\n 情景4：碳中和排放加污\n
\n 染协同效益（相对于基线\n
\n 的变化%）\n
\n • 情景2+\n
\n • 协同效益\n 		\n -3.0\n \n 0.04\n \n -95.4\n \n -1.08\n \n -28.13\n \n -0.11\n
\n来源：世界银行职员基于 MANAGE 和 E3ME 进行的估计。\n注：更加详细的模拟结果请参见附录1。\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_32", "image_path": "OTableR/img/zh_32_sec.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 詳情\n \n 首次公開售股後\n
\n 購股權計劃II\n 		\n 首次公開售股後\n
\n 購股權計劃IV\n 		\n 二零二三年購股權計劃\n
\n 1. 目的\n \n 表彰若干人士對本集團所作的貢獻，招攬最優秀人員及促使本集團業務成功發展\n
\n 2. 合資格參與者\n \n 已經或即將對本集團或\n
\n 任何投資機構的發展壯大\n
\n 做出貢虛的本集團旗下任\n
\n 何成員公司或任何投資機\n
\n 構（即本集團持有其股權\n
\n 的實體）的任何僱員（無論\n
\n 全職或兼職）、行政人員\n
\n 或職員、董事 （包括執行\n
\n 董事、非執行董事及獨立\n
\n 非執行董事）及董事會任\n
\n 何成員的任何顧問或代理\n 		\n 已經或即將對本集團或\n
\n 任何投資機構的發展壯大\n
\n 做出貢獻的本集團旗下任\n
\n 何成員公司或任何投資機\n
\n 構的任何僱員（無論全職\n
\n 或兼職）、行政人員或\n
\n 職員、董事（包括執行董\n
\n 事、非執行董事及獨立非\n
\n 執行董事） 及董事會任何\n
\n 成員的任何顧問或代理\n 		\n 任何僱員參與者、關連實\n
\n 體的任何董事或僱員及任\n
\n 何服務提供者\n
\n 3. 計劃限額\n \n 根據首次公開售股後購股\n
\n 權計劃川所授出的購股權\n
\n 所涉及的股份數目最多\n
\n 為444,518,270股股份\n
\n （已計股份拆細的影響），\n
\n 相當於在二零零七年五月\n
\n 十六日本公司已發行相關\n
\n 類別登券的5%（附註 1）。\n 		\n 根據首次公開售股後購股\n
\n 權計劃IV所授出的購股權\n
\n 所涉及的股份數目最多\n
\n 為379,099,339 股股份，\n
\n 相當於在二零一七年五月\n
\n 十七日本公司已發行相關\n
\n 類別證券的4%。\n 		\n 根據二零ニ三年購股權\n
\n 計劃所授出的購股權所\n
\n 涉及的股份數目最多為\n
\n 287,638,307股股份， 相\n
\n 當於在二零二三年五月\n
\n 十七日本公司已發行相關\n
\n 類別登券的3%。\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_33", "image_path": "OTableR/img/zh_33_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表4 交通运输建模情景、关键参数和结果\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 关键政策、投资和\n
\n 技术发展\n 		\n 截至 2060年关键参数目标与参考情景比较\n \n 排放量减少\n
\n 强化政策情景（EPS）\n \n 加速脱碳情景（ADS）\n \n EPS\n \n ADS\n
\n 交通运输\n
\n 模式转换\n 		\n • 投资于城市绿\n
\n 色交通模式\n
\n (地铁、快速\n
\n 公交、共享单\n
\n 车等)、水路和\n
\n 铁路\n 		\n • 城市绿色交通模式占比\n
\n 提高15%\n
\n • 从公路转向绿色模式的\n
\n 货运量增加60亿吨\n 		\n • 城市绿色交通模式占比\n
\n 提高20%\n
\n • 从公路转向绿色方式的\n
\n 货运量增加85亿吨\n 		\n 23.92\n
\n 亿吨\n 		\n 33.07\n
\n 亿吨\n
\n 能源效率\n \n • 激励私营部门\n
\n 投资节能技术、\n
\n 提高运营效率\n
\n 的数字化/自\n
\n 动化、和行为\n
\n 改变\n 		\n • 公路：自动驾驶货运车\n
\n 辆的占比提高了20%\n
\n • 铁路：节油机车占比提\n
\n 高30%\n
\n • 水路：大型船舶占比提\n
\n 高15%\n 		\n • 公路：自动驾驶货运车\n
\n 辆的占比提高75%\n
\n • 铁路：节油机车占比提\n
\n 高60%\n
\n • 水路：大型船舶占比提\n
\n 高30%\n 		\n 42.51\n
\n 亿吨\n 		\n 70.40\n
\n 亿吨\n
\n 电气化和\n
\n 燃料变化\n 		\n • 鼓励新能源的\n
\n 应用：电气化、\n
\n 生物燃料和其\n
\n 100%\n 		\n • 公路：电动汽车在私家\n
\n 车销售中的占比提高\n
\n 100%\n
\n • 铁路：电力货运机车的\n
\n 占比提高35%\n
\n • 水路：新能源船舶在销\n
\n 售中的占比提高50%\n
\n • 航空：新能源飞机的占\n
\n 比提高40%\n 		\n • 公路：电动汽车在私家\n
\n 车销售中的占比在2055\n
\n 年前提高100%\n
\n • 铁路：电力货运机车的\n
\n 占比提高49%\n
\n • 水路：新能源船舶在销\n
\n 售中的占比提高 80%\n
\n • 航空：新能源飞机的占\n
\n 比提高60%\n 		\n 139.52\n
\n 亿吨\n 		\n 183.82\n
\n 亿吨\n
\n 总计：\n \n 参考情景排放量：\n
\n 602.74亿吨\n 		\n • 额外投资：62万亿元人民币（9.5万亿美元）\n \n • 额外投资：74万亿\n
\n 元人民币（11.4万亿\n
\n 美元）\n 		\n 205.96\n
\n 亿吨（減\n
\n 少34%）\n 		\n 287.29\n
\n 亿吨（減\n
\n 少48%）\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_34", "image_path": "OTableR/img/zh_34_sec.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 於業務\n
\n 合併收購的\n
\n 無形資產\n
\n 人民幣百萬元\n 		\n 預計\n
\n 附屬公司將\n
\n 滙出盈利的\n
\n 預提所得税\n
\n 人民幣百萬元\n 		\n 以公允價值\n
\n 計量且其變動\n
\n 計入損益的\n
\n 金融資產及\n
\n 以公允價值\n
\n 計量且其變動\n
\n 計入其他全面\n
\n 收益的金融\n
\n 資產的\n
\n 公允價值變動\n
\n 人民幣百萬元\n 		\n 視同處置\n
\n 投資公司\n
\n 人民幣百萬元\n 		\n 加速計稅折舊\n
\n 人民幣百萬元\n 		\n 使用權資產\n
\n 人民幣百萬元\n 		\n 其他\n
\n 人民幣百萬元\n 		\n 總計\n
\n 人民幣百萬元\n
\n 於二零二一年十二月三十一日\n \n (6,425)\n \n (3,926)\n \n (2,827)\n \n (963)\n \n (3,655)\n \n (2)\n \n (120)\n \n (17,918)\n
\n 對國際會計準則第12號的\n
\n 修訂調整（附註2.2）\n 		\n -\n \n -\n \n -\n \n -\n \n -\n \n (3,070)\n \n -\n \n (3,070)\n
\n 於二零二二年一月一日（經重列）\n \n (6,425)\n \n (3,926)\n \n (2.827)\n \n (963)\n \n (3,655)\n \n (3,072)\n \n (120)\n \n (20,988)\n
\n 業務合併\n \n (1,258)\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n (1,258)\n
\n 貸入/（計入）綜合收益表\n \n 3,080\n \n (4,350)\n \n 138\n \n (293)\n \n 1,266\n \n (368)\n \n (86)\n \n (613)\n
\n 已付預提所得税\n \n -\n \n 3,250\n \n -\n \n -\n \n -\n \n -\n \n -\n \n 3,250\n
\n 計入綜合權益麥動表\n \n -\n \n -\n \n (1,028)\n \n -\n \n -\n \n -\n \n -\n \n (1,028)\n
\n 於處置及視同處置金融工具後\n
\n 轉撥\n 		\n -\n \n -\n \n 372\n \n -\n \n -\n \n -\n \n -\n \n 372\n
\n 外幣折算差額\n \n (81)\n \n (15)\n \n (80)\n \n -\n \n (16)\n \n -\n \n (69)\n \n (261)\n
\n 於二零二二年十二月三十一日\n
\n （經重列）\n 		\n (4,684)\n \n (5,041)\n \n (3,425)\n \n (1,256)\n \n (2,405)\n \n (3,440)\n \n (275)\n \n (20,526)\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_35", "image_path": "OTableR/img/zh_35_sec.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 成立地點及\n
\n 法人實體性質\n 		\n 已發行/實收\n
\n 資本的詳情\n 		\n 本集團持有的\n
\n 權益比例（%）\n 		\n 主要業務及經營地\n
\n 騰訊計算機\n \n 在中國成立，\n
\n 有限責任公司\n 		\n 人民幣65,000,000元\n \n 100%\n
\n （附註（a））\n 		\n 在中國提供增值殷務及互聯網\n
\n 廣告服務\n
\n 騰訊科技\n \n 在中國成立，\n
\n 外商獨資企業\n 		\n 2,000,000美元\n \n 100%\n \n 在中國開發軟件及提供資訊\n
\n 科技服務\n
\n 深圳市世紀凱旋科技有限公司\n \n 在中國成立，\n
\n 有限責任公司\n 		\n 人民幣11,000,000元\n \n 100%\n
\n （附註（a））\n 		\n 在中國提供互聯網廣告服務\n
\n 騰訊數碼（天津）有限公司\n \n 在中國成立，\n
\n 外商獨資企業\n 		\n 90,000,000美元\n \n 100%\n \n 在中國開發軟件及提供資訊\n
\n 科技服務\n
\n Tencent Asset Management Limited\n \n 在英屬處女群島成立，\n
\n 有限責任公司\n 		\n 100美元\n \n 100%\n \n 在香港進行資產管理\n
\n 腾訊科技（北京）有限公司\n \n 在中國成立，\n
\n 外商獨資企業\n 		\n 1,000,000美元\n \n 100%\n \n 在中國開發及銷售軟件以及\n
\n 提供資訊科技服務\n
\n 南京網典科技有限公司\n \n 在中國成立，\n
\n 有限責任公司\n 		\n 人民幣10,290,000元\n \n 100%\n
\n （附註（a））\n 		\n 在中國提供增值殷務\n
\n 北京英克必成科技有限公司\n \n 在中國成立，\n
\n 有限責任公司\n 		\n 人民幣1,216,500,000元\n \n 100%\n
\n （附註（a））\n 		\n 在中國提供增值殷務\n
\n 北京市掌中星天下信息技術\n
\n 有限公司\n 		\n 在中國成立，\n
\n 有限責任公司\n 		\n 人民幣10,000,000元\n \n 100%\n
\n （附註（a））\n 		\n 在中國提供增值殷務\n
\n 騰訊數碼（深圳）有限公司\n \n 在中國成立，\n
\n 外商獨資企業\n 		\n 30,000,000美元\n \n 100%\n \n 在中國開發軟件\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_36", "image_path": "OTableR/img/zh_36_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表6 利用现有的政府转移支付和养老金体系进行收入循环\n家庭所占份额\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 以下各项的家庭占比…\n \n 收到政府转移支付或\n
\n 养老金、且无收入损\n
\n 失家庭占比%\n
\n （错误包含）\n 		\n 损失了收入、且没有收\n
\n 到政府转移支付或养老\n
\n 金的家庭占比％\n
\n （错误排除）\n
\n \n 收到政策\n
\n 转移支付\n 		\n 收到养\n
\n 老金\n 		\n 收到政府转移\n
\n 支付或养老金\n 		\n 碳中和排放路径\n
\n 下的收人损失\n
\n 全部\n \n 25.9\n \n 55.2\n \n 67.2\n \n 96.9\n \n 1.4\n \n 31.6\n
\n Q1\n \n 51.7\n \n 55.3\n \n 78.7\n \n 98.9\n \n 0.4\n \n 20.7\n
\n Q2\n \n 43.5\n \n 47.8\n \n 68.9\n \n 96.3\n \n 29\n \n 30.6\n
\n Q3\n \n 31.3\n \n 45.9\n \n 62.6\n \n 97.7\n \n 1.1\n \n 36.6\n
\n Q4\n \n 16.2\n \n 56.7\n \n 64.6\n \n 97.7\n \n 0.9\n \n 34.5\n
\n Q5\n \n 12.4\n \n 61.2\n \n 65.5\n \n 95.4\n \n 1.7\n \n 32.5\n
\n来源：世界银行根据2018年中国家庭追踪调查结果和相对于基准情景（BaU）的情景1进行CGE建模结果进行\\n计算。\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_37", "image_path": "OTableR/img/zh_37_sec.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 截至12月31日止年度\n
\n \n 2023年\n \n 2022年\n
\n \n 金額\n \n 佔總收入\n
\n 百分比\n 		\n 金額\n \n 佔總收入\n
\n 百分比\n
\n \n （人民幣百萬元，除非另有說明）\n
\n 智能手機\n \n 157,461.3\n \n 58.1%\n \n 167,217.2\n \n 59.7%\n
\n loT與生活消費產品\n \n 80,107.7\n \n 29.6%\n \n 79,794.9\n \n 28.5%\n
\n 互聯網服務\n \n 30,107.5\n \n 11.1%\n \n 28,321.4\n \n 10.1%\n
\n 其他\n \n 3,293.6\n \n 1.2%\n \n 4,710.5\n \n 1.7%\n
\n 總收入\n \n 270,970.1\n \n 100.0%\n \n 280,044.0\n \n 100.0%\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_38", "image_path": "OTableR/img/zh_38_sec.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 歸屬於母公司股東的權益\n \n \n
\n \n \n \n 儲備\n \n \n \n \n
\n 已重述\n \n 股本\n \n 其他\n
\n 權益工具\n 		\n 資本公積\n \n 盈餘公積\n \n 一般準備\n \n 投資\n
\n 重估儲備\n 		\n 外幣\n
\n 財務報表\n
\n 折算差額\n 		\n 現金流量\n
\n 套期儲備\n 		\n 其他儲備\n \n 小計\n \n 未分配\n
\n 利潤\n 		\n 合計\n \n 非控制性\n
\n 權益\n 		\n 股東權益\n
\n 合計\n
\n 2021年12月31日\n \n 356,407\n \n 354,331\n \n 148,703\n \n 357,169\n \n 438,952\n \n 24,628\n \n (39,999)\n \n (4,243)\n \n 1,165\n \n 926,375\n \n 1,620,642\n \n 3,257,755\n \n 17,503\n \n 3,275,258\n
\n 會計政策變更\n \n -\n \n -\n \n -\n \n -\n \n -\n \n 1,459\n \n 69\n \n -\n \n (3,988)\n \n (2,460)\n \n 3,561\n \n 1,101\n \n 787\n \n 1,888\n
\n 2022年1月1日\n \n 356,407\n \n 354,331\n \n 148,703\n \n 357,169\n \n 438,952\n \n 26,087\n \n (39,930)\n \n (4,243)\n \n (2,823)\n \n 923,915\n \n 1,624,203\n \n 3,258,856\n \n 18,290\n \n 3,277,146\n
\n 本年淨利潤\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n 361,132\n \n 361,132\n \n 978\n \n 362,110\n
\n 其他綜合收益\n \n -\n \n -\n \n -\n \n -\n \n -\n \n (23,425)\n \n 20,739\n \n 1,256\n \n (3,154)\n \n (4,584)\n \n -\n \n (4,584)\n \n 34\n \n (4,550)\n
\n 綜合收益總額\n \n -\n \n -\n \n -\n \n -\n \n -\n \n (23,425)\n \n 20,739\n \n 1,256\n \n (3,154)\n \n (4,584)\n \n 361,132\n \n 356,548\n \n 1,012\n \n 357,560\n
\n 2021年度普通股股利（附註17）\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n (104,534)\n \n (104,534)\n \n -\n \n (104,534)\n
\n 對其他權益工具持有者的分配（附註17）\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n (14,810)\n \n (14,810)\n \n -\n \n (14,810)\n
\n 提取盈餘公積（i）\n \n -\n \n -\n \n -\n \n 35,318\n \n -\n \n -\n \n -\n \n -\n \n -\n \n 35,318\n \n (35,318)\n \n -\n \n -\n \n -\n
\n 提取一般準備（ii）\n \n -\n \n -\n \n -\n \n -\n \n 57,767\n \n -\n \n -\n \n -\n \n -\n \n 57,767\n \n (57,767)\n \n -\n \n -\n \n -\n
\n 支付給非控制性股東的股利\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n -\n \n (28)\n \n (28)\n
\n 其他綜合收益結轉留存收益\n \n -\n \n -\n \n -\n \n -\n \n -\n \n (319)\n \n -\n \n -\n \n -\n \n (319)\n \n 319\n \n -\n \n -\n \n -\n
\n 其他\n \n -\n \n -\n \n (423)\n \n -\n \n -\n \n -\n \n 1,950\n \n -\n \n -\n \n 1,527\n \n (1,478)\n \n 49\n \n 36\n \n 85\n
\n 2022年12月31日\n \n 356,407\n \n 354,331\n \n 148,280\n \n 392,487\n \n 496,719\n \n 2,343\n \n (17,241)\n \n (2,987)\n \n (5,977)\n \n 1,013,624\n \n 1,771,747\n \n 3,496,109\n \n 19,310\n \n 3,515,419\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_39", "image_path": "OTableR/img/zh_39_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表7 短期（未来5年）优先政策\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 理由\n \n 政策方案\n
\n 1. 确定碳达峰路径，向企业发出明确信号\n
\n 中国已经做出了减排长期承诺，但\n
\n 短期减排目标仍不清晰。\n 		\n • 通过设定未来10年的基于质量的年度排放上限，提供明确的前瞻性\n
\n 指导，同时为企业、省、市制定统一的碳核算框架。\n
\n 2. 加快能源供应（电力和供热）脱碳\n
\n 该部门对煤炭依赖度高，在总排放\n
\n 中占的份额最大。绿色能源技术日\n
\n 益增多且可负担性提高。下游行业\n
\n （交通、工业）的电气化需求上升。\n 		\n • 到2030年，在200吉瓦额外储能和更灵活的电网支持下，将风电、\n
\n 太阳能发电总装机容量提高到 1200-1700 吉瓦。\n
\n • 在电力系统规划、可靠性法规和可变可再生能源（VRE）发电预测和\n
\n 调度方面采用国际最佳实践，以逐步减少煤炭使用。\n
\n • 加快电力市场改革，包括电价改革、辅助服务和容量市场发展以及省\n
\n 际电力交易。\n
\n • 推广需求管理，包括能效措施、分布式可再生能源和需求响应计划\n
\n 在内。\n
\n 3. 推动关键能源番求部门（工业和交通）脱碳\n
\n 交通和工业部门的排放量日益增\n
\n 加，在转向清洁能源方面有较大潜\n
\n 力，包括电气化、能效改善和需求\n
\n 管理等。\n 		\n • 采取有助于经济再平衡的宏观经济政策，从由工业和投资驱动经济增\n
\n 长转向由服务和消费驱动。\n
\n • 为水泥和钢铁行业制定明确和有雄心的减排目标及技术标准。\n
\n • 加快私家车和商用车的电气化，不能仅聚焦在公交巴士上；对电动车\n
\n 提供税收优惠以实现价格平等，并提供非货币激励和充足的充电基础\n
\n 设施（与低碳能源转型实现电力供应脱碳相结合）。\n
\n • 通过关于车辆定价、法规以及燃料标准等方面的措施，激励交通行业\n
\n 提高燃油效率和运营效率。\n
\n • 通过多模式整合和价格激励，推动向公交客运和低碳货运模式（铁路\n
\n 和水运）转变。\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_3", "image_path": "OTableR/img/zh_3_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表8.8-1 玻璃纤维化学组成 （质量分数%）\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 玻璃纤维名称\n \n 代号\n \n $\\mathrm{SiO}_2$\n \n $\\mathrm{Al}_2 \\mathrm{O}_3$\n \n $\\mathrm{B}_2 \\mathrm{O}_3$\n \n CaO\n \n MgO\n \n $\\mathrm{Na}_2 \\mathrm{O}$\n \n $\\mathrm{K}_2 \\mathrm{O}$\n \n $\\mathrm{CaF}_2$\n \n BaO\n \n $\\mathrm{Li}_2 \\mathrm{O}$\n \n BeO\n \n ZnO\n \n $\\mathrm{ZrO}_2$\n \n $\\mathrm{CeO}_2$\n \n $\\mathrm{TiO}_2$\n \n PbO\n \n 备 注\n
\n $\\mathrm{Fe}_2 \\mathrm{O}_3$\n
\n 无碱玻璃纤维\n \n E\n \n 53.5\n \n 15.3\n \n —\n \n 16.3\n \n 4.5\n \n < 0.5\n \n —\n \n 2.0\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n 我国通用\n
\n 无碱玻璃纤维\n \n E\n \n 54.3\n \n 15.2\n \n 8.0\n \n 17.3\n \n 4.7\n \n 0.6\n \n —\n \n 0.1\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n 美国通用\n
\n 无碱玻璃纤维\n \n E\n \n 53.2\n \n 14.8\n \n 9.0\n \n 21.1\n \n 0.3\n \n 1.2\n \n 0.1\n \n —\n \n 0.3\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n 美国池窑拉丝\n
\n 中碱玻璃纤维\n \n $5^\\#$\n \n 67.3\n \n 7.0\n \n —\n \n 9.5\n \n 4.2\n \n 12.0\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n 我国通用\n
\n 中碱玻璃纤维\n \n C\n \n 64.5\n \n 4.1\n \n 4.7\n \n 13.4\n \n 3.3\n \n 7.9\n \n 1.7\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n 国外通用\n
\n 高碱玻璃纤维\n \n A\n \n 72.0\n \n 0.6\n \n —\n \n 10.0\n \n 2.5\n \n 14.2\n \n —\n \n —\n \n 0.9\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n 国外通用\n
\n 高强玻璃纸维\n \n S\n \n 64.3\n \n 24.8\n \n —\n \n < 0.01\n \n 10.3\n \n 0.27\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n 美国 S-994\n
\n 0.21\n
\n 高弹性模量玻璃纤维\n \n M\n \n 53.7\n \n 0.5\n \n —\n \n 12.9\n \n 9.0\n \n —\n \n —\n \n —\n \n —\n \n 3.0\n \n 8.0\n \n —\n \n 2.0\n \n 3.0\n \n 8.0\n \n $\\mathrm{MnO}_2$\n \n 美国 YM-31-A\n
\n 6\n
\n 防辐射玻璃纤维\n \n \n 38.7\n \n 5.5\n \n 27.5\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n 27.3\n \n 防γ射线\n
\n 耐碱玻璃纤维\n \n \n 55.0\n \n 15.0\n \n —\n \n 15.0\n \n 3\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n 6.0\n \n —\n \n 混疑土增强材料\n
\n 耐碱玻璃纤维\n \n \n 69.0\n \n —\n \n —\n \n 2.0\n \n —\n \n 15.5\n \n —\n \n —\n \n —\n \n 2.0\n \n —\n \n —\n \n 9.5\n \n —\n \n 2.0\n \n —\n \n 混疑土增强材料\n
\n 高硅氧玻璃纤维\n \n R\n \n 98.6\n \n 1.07\n \n —\n \n 0.24\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n
\n 耐高温玻璃纤维\n \n \n 45.3\n \n 51.3\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n 3.4\n \n —\n \n —\n \n —\n \n
\n 蒸气喷吹短棉\n \n 5a\n \n 57.0\n \n 4.5\n \n —\n \n 1.80\n \n 6.5\n \n 13.5\n \n —\n \n —\n \n —\n \n —\n \n 1.0\n \n —\n \n —\n \n —\n \n —\n \n —\n \n 我国用\n
\n 0.5\n
\n 超细棉\n \n \n 71.0\n \n 3.0\n \n —\n \n 8.5\n \n 2.5\n \n 15.0\n \n —\n \n 2\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n 我国用\n
\n 离心喷吹棉\n \n \n 57.2\n \n 3.0\n \n 6.2\n \n 4.0\n \n 4.0\n \n 14.8\n \n —\n \n 9.3\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n —\n \n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_40", "image_path": "OTableR/img/zh_40_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "图41 建议的优先排序方法\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 避免碳锁定：\n
\n 当行动时\n 		\n \n \n 影响\n
\n 预计的气候与发展结果\n
\n 高\n \n 3\n \n \n 3\n \n 3\n \n 高\n
\n 中\n \n 2\n \n \n 2\n \n 2\n \n 中\n
\n 低\n \n 1\n \n \n 1\n \n 1\n \n 低至中等\n
\n \n \n \n 气候\n \n 发展\n \n
\n注：按1-3的得分进行评级。\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_41", "image_path": "OTableR/img/zh_41_sec.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 保费收入\n
\n 641,380\n
\n 百万元\n 		\n 总资产\n
\n 5,888,479\n
\n 百万元\n 		\n 投资资产\n
\n 5,673,371\n
\n 百万元\n
\n 内含价值\n
\n 1,260,567\n
\n 百万元\n 		\n 一年新业务价值\n
\n 36,260\n
\n 百万元\n 		\n 综合偿付能力充足率\n
\n 218.54%\n
\n 首年期交保费\n
\n 112,573\n
\n 百万元\n 		\n 十年期及以上首年期交保\n
\n 49,522\n
\n 百万元\n 		\n 长险有效保单数量\n
\n 3.28\n
\n 亿份\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_42", "image_path": "OTableR/img/zh_42_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n 碳中和 + 收入循环利用于投资 (NDC)\n \n 碳中和 + 收入循环利用于投资 (ADS)\n
\n \n 2022\n \n 2030\n \n 2040\n \n 2050\n \n 2060\n \n 2022\n \n 2030\n \n 2040\n \n 2050\n \n 2060\n
\n \n 相对于基线的变化$(\\%)^*$\n \n 相对于基线的变化$(\\%)^*$\n
\n 财政数据\n
\n 财政收人（占GDP 份额，%）\n \n 0.03\n \n 0.10\n \n -0.12\n \n 0.15\n \n 1.52\n \n 0.07\n \n 0.75\n \n 0.73\n \n 1.29\n \n 1.79\n
\n 财政支出（占GDP份额，%）\n \n 0.01\n \n 0.02\n \n -0.03\n \n -0.04\n \n -0.04\n \n 0.02\n \n 0.15\n \n 0.12\n \n 0.07\n \n 0.06\n
\n 预算赤字（占 GDP 份额，%）\n \n 0.03\n \n 0.08\n \n -0.09\n \n 0.13\n \n 1.26\n \n 0.06\n \n 0.62\n \n 0.61\n \n 1.13\n \n 1.71\n
\n 碳排放\n
\n 排放量（百万吨二氧化碳）$^*$\n \n -1.0\n \n -3.0\n \n -18.7\n \n -59.3\n \n -86.3\n \n -2.0\n \n -18.2\n \n -43.4\n \n -73.7\n \n -86.3\n
\n 每单位产出排放量（百万吨二氧化碳）$^*$\n \n -1.0\n \n -3.0\n \n -18.6\n \n -59.0\n \n -85.9\n \n -2.0\n \n -18.3\n \n -43.4\n \n -73.2\n \n -86.0\n
\n 备忘项目\n
\n 人口（百万）\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n
\n 劳动年龄人口 (百万）\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n \n 0.00\n
\n *实际人均GDP、排放和碳价格相对于基线的变化表示为基线水平的百分比。对于所有其他变量，与相对于基线的变化表示相应情景下 GDP 的百分点。\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_43", "image_path": "OTableR/img/zh_43_sec.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n \n \n 本年增减变动\n \n \n \n
\n \n 核算方法\n \n 投资成本\n \n 2022年\n
\n 12月31日\n 		\n 新增或\n
\n 减少投资\n 		\n 按权益法\n
\n 调整的\n
\n 净损益\n 		\n 宣告\n
\n 分派的\n
\n 股利\n 		\n 其他\n
\n 权益变动\n 		\n 计提\n
\n 减值准备\n 		\n 2023年\n
\n 12月31日\n 		\n 持股比例\n \n 年末\n
\n 减值准备\n
\n 合营企业\n
\n Joy City\n \n 权益法\n \n 6,281\n \n 5,283\n \n -\n \n 293\n \n (162)\n \n -\n \n -\n \n 5,414\n \n 66.67%\n \n -\n
\n MCL\n \n 权益法\n \n 7,656\n \n 3,553\n \n -\n \n (298)\n \n -\n \n (230)\n \n -\n \n 3,025\n \n 75.00%\n \n -\n
\n 其他\n \n 权益法\n \n 50,121\n \n 45,492\n \n 1,028\n \n 590\n \n (1,200)\n \n 132\n \n -\n \n 46,042\n \n \n -\n
\n 小计\n \n \n 64,058\n \n 54,328\n \n 1,028\n \n 585\n \n (1,362)\n \n (98)\n \n -\n \n 54,481\n \n \n -\n
\n 联营企业\n
\n 广发银行$^{注2}$\n \n 权益法\n \n 53,201\n \n 98,085\n \n -\n \n 6,061\n \n (742)\n \n 1,241\n \n -\n \n 104,645\n \n 43.686%\n \n -\n
\n 远洋集团$^{注3}$\n \n 权益法\n \n 11,245\n \n 2,194\n \n -\n \n (2,194)\n \n -\n \n -\n \n -\n \n -\n \n 29.59%\n \n (5,862)\n
\n 财产险公司\n \n 权益法\n \n 9,600\n \n 13,501\n \n -\n \n 537\n \n (80)\n \n (391)\n \n -\n \n 13,567\n \n 40.00%\n \n -\n
\n 中粮期货\n \n 权益法\n \n 1,339\n \n 1,737\n \n -\n \n 83\n \n (26)\n \n 1\n \n -\n \n 1,795\n \n 35.00%\n \n -\n
\n 川气东送管道公司\n \n 权益法\n \n 10,000\n \n 21,569\n \n (10,000)\n \n 1,332\n \n (789)\n \n (8)\n \n -\n \n 12,104\n \n 43.86%\n \n -\n
\n 中国联通$^{注4}$\n \n 权益法\n \n 21,801\n \n 22,602\n \n -\n \n 774\n \n (390)\n \n 66\n \n -\n \n 23,052\n \n 10.03%\n \n -\n
\n 其他\n \n 权益法\n \n 49,455\n \n 47,163\n \n 720\n \n 1,348\n \n (1,465)\n \n 196\n \n -\n \n 47,962\n \n \n (505)\n
\n 小计\n \n \n 156,641\n \n 206,851\n \n (9,280)\n \n 7,941\n \n (3,492)\n \n 1,105\n \n -\n \n 203,125\n \n \n (6,367)\n
\n 合计\n \n \n 220,699\n \n 261,179\n \n (8,252)\n \n 8,526\n \n (4,854)\n \n 1,007\n \n -\n \n 257,606\n \n \n (6,367)\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_44", "image_path": "OTableR/img/zh_44_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表2.1-1 全线桥涵一览表\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 编号\n \n 桥梁名称\n \n 起止里程\n \n 中心里程\n \n 桥全长\n
\n 1\n \n 洪武路停车场正线部分\n \n HWLU00+400.0\n \n DK00+103.0\n \n \n 503.000\n
\n 2\n \n 洪武西路特大桥\n \n DK00+203.000\n \n DK03+243.000\n \n DK01+723.000\n \n 3040.000\n
\n 3\n \n 丰乐大道特大桥\n \n DK03+343.000\n \n DK05+513.000\n \n DK04+428.000\n \n 2170.000\n
\n 4\n \n 西润路特大桥\n \n DK05+613.000\n \n DK06+518.000\n \n DK06+065.500\n \n 905.000\n
\n 5\n \n 凤阳南路\n
\n 特大桥\n 		\n 左线单线\n \n DK12+325.000\n \n DK12+700.000\n \n DK12+512.500\n \n 1025.000\n
\n 右线单线\n \n YDK12+298.170\n \n YDK12+673.170\n \n YDK12+485.670\n
\n 双线\n \n DK12+700.000\n \n DK12+975.000\n \n YDK12+837.500\n
\n 6\n \n 清流河特大桥\n \n DK13+075.000\n \n DK16+645.000\n \n DK14+860.000\n \n 3570.000\n
\n 7\n \n 苏涂产业园特大桥\n \n DK16+745.000\n \n DK19+595.000\n \n DK18+170.000\n \n 2850.000\n
\n 8\n \n 示范园特大桥\n \n DK19+695.000\n \n DK21+435.000\n \n DK20+565.000\n \n 1740.000\n
\n 9\n \n 新来河特大桥\n \n DK21+535.000\n \n DK27+505.000\n \n DK24+520.000\n \n 5970.000\n
\n 10\n \n 来河特大桥\n \n 双线\n \n DK27+605.000\n \n DK31+145.000\n \n DK29+375.000\n \n 3540.000\n
\n 左线单线\n \n DK31+145.000\n \n DK31+675.000\n \n DK31+410.000\n \n 530.000\n
\n 右线单线\n \n YDK31+144.993\n \n YDK31+675.417\n \n YDK31+410.205\n \n 530.424\n
\n 11\n \n 相官镇特大桥\n \n 四线简支梁\n \n DK31+775.000\n \n DK31+805.000\n \n YDK31+790.000\n \n 9130.000\n
\n 四线道岔\n
\n 连续梁\n 		\n DK31+805.000\n \n DK32+015.000\n \n DK31+910.000\n
\n 左线单线\n \n DK32+015.000\n \n DK34+425.000\n \n DK34+415.392\n
\n 右线单线\n \n YDK32+015.392\n \n YDK34+425.392\n \n YDK34+415.306\n
\n 双线\n \n DK34+425.000\n \n DK38+525.000\n \n DK36+475.000\n
\n 12\n \n 汊河新城特大桥\n \n DK38+625.000\n \n DK41+385.000\n \n DK40+005.000\n \n 2760.000\n
\n 13\n \n 汉河镇特大桥\n \n DK41+485.000\n \n DK44+495.000\n \n DK42+990.000\n \n 3010.000\n
\n 14\n \n 滁河特大桥（滁州段）\n \n DK44+595.000\n \n DK46+255.000\n \n DK45+425.000\n \n 1660.000\n
\n 15\n \n 滁河特特大桥（南京段）\n \n DK46+255.000\n \n DK51 +405.000\n \n DK48+830.000\n \n 5150.000\n
\n 16\n \n 北斗产业园大桥}\n \n DK51+505.000\n \n DK51+925.000\n \n DK51+715.000\n \n 420.000\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_45", "image_path": "OTableR/img/zh_45_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "附表5.2-18 敏感点振动控制措施一览表\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 编\n
\n 号\n 		\n 所属\n
\n 行政\n
\n 区\n 		\n 敏感\n
\n 点\n
\n 名称\n 		\n 所在\n
\n 区段\n 		\n 线路里程\n
\n 位置\n 		\n 线\n
\n 路\n
\n 形\n
\n 式\n 		\n 预测\n
\n 点\n
\n 编号\n 		\n 预测点\n
\n 位置\n
\n 说明\n 		\n 相对线路\n
\n 位置\n 		\n 列车运\n
\n 行\n
\n 速度\n
\n （km/h）\n 		\n 预测值\n
\n VLzmax\n
\n (dB)\n 		\n 二次结构\n
\n 噪声\n
\n 预测值\n
\n (dB)\n 		\n VLzmax\n
\n 超标量\n
\n (dB)\n 		\n 二次\n
\n 结构声\n
\n 超标量\n
\n （dB）\n 		\n 減振措施\n \n 措施后\n
\n 预测值\n
\n VLzmax\n
\n (dB)\n 		\n 措施后二次\n
\n 结构噪声\n
\n 预测值\n
\n (dB)\n 		\n 措施后\n
\n VLz10\n
\n 超标量\n
\n (dB)\n 		\n 措施后\n
\n VLzmax\n
\n 超标量\n
\n （dB）\n 		\n 減振措施里程\n \n 減振效果\n \n 投资估算\n
\n （万元）\n
\n 水平\n
\n 距离\n 		\n 高差\n \n 昼间\n \n 夜间\n \n 昼间\n \n 夜间\n \n 昼间\n \n 夜间\n \n 昼间\n \n 夜间\n \n 昼间\n \n 夜间\n \n 昼间\n \n 夜间\n \n 昼间\n \n 夜间\n \n 昼间\n \n 夜间\n \n 减振措\n
\n 施\n
\n （1.2\n
\n 万元/\n
\n 米）\n 		\n 功能\n
\n 置换\n
\n （150\n
\n 万元/户）\n 		\n 合计\n
\n V38\n \n 南京\n
\n 市\n
\n 浦口\n
\n 区\n 		\n 枣树\n
\n 陈\n 		\n 汊河镇\n
\n 站~\n
\n 南京北\n
\n 站\n 		\n DK52+800\n
\n ～\n
\n DK53+150\n
\n 两侧\n 		\n 隧\n
\n 道\n 		\n V38-1\n \n 室外\n
\n 0.5m\n 		\n 0\n \n 26.8\n \n 104\n \n 72.3\n \n 72.3\n \n \n \n 达标\n \n 达标\n \n \n \n ①距线路外轨中心线\n
\n 两侧 5 m 范围内敏感建\n
\n 筑 (约 14 户) 进行功\n
\n 能置换；②采用橡胶浮\n
\n 置板道床或其它减振\n
\n 效果相当的措施。\n 		\n 64.3\n \n 64.3\n \n \n \n 达标\n \n 达标\n \n \n \n DK52+750~\n
\n DK53+200\n
\n 双线\n 		\n 振动降低\n
\n 80B以上，\n
\n 措施后环境\n
\n 振动达标，\n
\n 二次结构噪\n
\n 声达标。\n 		\n 1080\n \n 2100\n \n 3180\n
\n V38-2\n \n 室内\n \n 75.3\n \n 75.3\n \n 46.0\n \n 46.0\n \n 3.3\n \n 6.3\n \n 1.0\n \n 4.0\n \n 67.3\n \n 67.3\n \n 31.6\n \n 31.6\n \n 达标\n \n 达标\n \n 达标\n \n 达标\n
\n V40\n \n 南京\n
\n 市浦\n
\n 口区\n 		\n 余家\n
\n 营\n 		\n 汊河镇\n
\n 站~\n
\n 南京北\n
\n 站\n 		\n DK53+680\n
\n ～\n
\n DK54+020\n
\n 两侧\n 		\n 隧\n
\n 道\n 		\n V40-1\n \n 室外\n
\n 0.5m\n 		\n 0\n \n 12.0\n \n 105\n \n 79.3\n \n 79.3\n \n \n \n 达标\n \n 达标\n \n \n \n ①距线路外轨中心线\n
\n 两侧 5 m 范围内敏感建\n
\n 筑 (约 5 户) 进行功能\n
\n 置换；②采用橡胶浮置\n
\n 板道床或其它减振效\n
\n 果相当的措施。\n 		\n 71.3\n \n 71.3\n \n \n \n 达标\n \n 达标\n \n \n \n DKS3+630~\n
\n DK 54+070\n
\n 双线\n 		\n 振动降低\n
\n 80B以上，\n
\n 措施后环境\n
\n 振动达标，\n
\n 二次结构噪\n
\n 声达标。\n 		\n 1056\n \n 750\n \n 1806\n
\n V40-2\n \n 室内\n
\n 地面\n 		\n 82.3\n \n 82.3\n \n 55.1\n \n 55.1\n \n 10.3\n \n 13.3\n \n 10.1\n \n 13.1\n \n 74.3\n \n 74.3\n \n 40.3\n \n 40.3\n \n 达标\n \n 达标\n \n 达标\n \n 达标\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_46", "image_path": "OTableR/img/zh_46_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表3.1 各种税收激励工具的优点和缺点\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 基于利润的工具\n
\n • 免税期：对新企业或新投资的有时限的免税（通常是CIT）\n
\n • 优惠/优惠税率：以部分豁免标准CIT税率形式降低税率\n
\n 优点\n \n 缺点\n
\n • 针对投资者有强烈信号效应，易于沟通和宣传。\n \n • 不成比例地倾向于很有可能产生高利润率的投资或时间短\n
\n 的投资（在免税期和优惠有时限的情况下）。\n
\n • 通常不是看投资者的前期保证，而是看预期结果方面的实\n
\n 际业绩，例如投资或创造的就业机会。\n
\n • 容易通过企业内部转移利润而被滥用。\n
\n • 由于实际财政成本的可预测性低而导致的财政高风险。\n
\n • 仅限免税期：投资者可以在免税期间完全避免\n
\n 与税务部门的互动。\n 		\n • 仅限免税期：投资者免于纳税申报，因此无法根据放弃的\n
\n 收入来监控激励措施成本。\n
\n 基于成本的工具\n
\n • 税收减免：从应税所得中扣除投资成本的一部分。\n
\n • 退税：从应缴税款中扣除投资成本的一部分。\n
\n • 加速折旧：固定资产用于税收目的的折旧比通常情况下更快。\n
\n 优点\n \n 缺点\n
\n • 投资者的收益与投资金额直接挂钩。\n
\n • 税收损失比基于利润的工具更具可预测性。\n
\n • 相比基于利润的激励工具更不容易通过利润\n
\n 转移而滥用。\n
\n • 不允许公司免税，这使得流程更加透明，可以\n
\n 根据放弃的收入计算成本。\n
\n • 仅加速折旧：名义税负实际上没有减少，只是\n
\n ß推迟到投资的后期阶段。\n 		\n • 管理更具挑战性。\n
\n • 可能会从生产技术型投资转向更多的资本密集型投资。）\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_47", "image_path": "OTableR/img/zh_47_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表3A.6 税收激励措施与外国企业将税率视为商业障碍的看法的回归结果\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n \n \n (1)\n \n (2)\n \n (3)\n \n (4)\n \n (5)\n \n (6)\n \n (7)\n
\n 变量\n \n \n 边际\n \n 边际\n \n 边际\n \n 边际\n \n 边际\n \n 边际\n \n 边际\n
\n CIT\n \n 企业所得税\n \n 0.0037$^{***}$\n \n 0.0036$^{***}$\n \n 0.0037$^{***}$\n \n 0.0037$^{***}$\n \n 0.0036$^{***}$\n \n 0.0040$^{***}$\n \n 0.0036$^{***}$\n
\n (0.0008)\n \n (0.0008)\n \n (0.0009)\n \n (0.0009)\n \n (0.0009)\n \n (0.0010)\n \n (0.0009)\n
\n HOLIDAY\n \n 1=在国家和经营\n
\n 行业提供免税期\n 		\n -0.0686$^{***}$\n \n -0.0600$^{***}$\n \n -0.0384$^{*}$\n \n -0.0327$^{**}$\n \n -0.0608$^{***}$\n \n 0.0099\n \n -0.0262\n
\n (0.0163)\n \n (0.0172)\n \n (0.0220)\n \n (0.0163)\n \n (0.0167)\n \n (0.0195)\n \n (0.0175)\n
\n EXPORTER\n \n 1＝出口企业\n \n \n -0.0633$^{***}$\n \n -0.0268\n \n -0.0642$^{***}$\n \n -0.0634$^{***}$\n \n -0.0631$^{***}$\n \n -0.0646$^{***}$\n
\n \n (0.0169)\n \n (0.020)\n \n (0.0169)\n \n (0.0169)\n \n (0.0186)\n \n (0.0173)\n
\n LARGE\n \n 1=大企业（大于50%\n
\n 的销售额)\n 		\n \n 0.0081\n \n 0.0069\n \n 0.0332$^{**}$\n \n 0.0081\n \n 0.0096\n \n 0.0111\n
\n \n (0.0153)\n \n (0.0151)\n \n (0.0162)\n \n (0.0153)\n \n (0.0160)\n \n (0.0148)\n
\n NEW\n \n 1= 新企业（10年或\n
\n 更短）\n 		\n \n -0.0175\n \n -0.0169\n \n -0.0175\n \n -0.0184\n \n -0.0157\n \n -0.0172\n
\n \n (0.0160)\n \n (0.0160)\n \n (0.0161)\n \n (0.0175)\n \n (0.0165)\n \n (0.0159)\n
\n LPI\n \n 1= 高于物流绩效指数\n
\n 得分中位数\n 		\n \n 0.0055\n \n 0.0038\n \n 0.0090\n \n 0.0055\n \n 0.0586$^{***}$\n \n 0.0119\n
\n \n (0.0181)\n \n (0.0165)\n \n (0.0181)\n \n (0.0181)\n \n (0.0158)\n \n (0.0172)\n
\n DB\n \n 1= 高于营商环境DTF中\n
\n 位数（不包括\"纳税\"）\n 		\n \n -0.0322$^{***}$\n \n -0.0291$^{***}$\n \n -0.0295$^{**}$\n \n -0.0322$^{***}$\n \n -0.0231$^{*}$\n \n -0.0104\n
\n \n (0.0122)\n \n (0.0110)\n \n (0.0123)\n \n (0.0121)\n \n (0.0138)\n \n (0.01435)\n
\n 交互项\n
\n HOLIDAY*EXPORTER\n 		\n \n \n -0.0819$^{***}$\n \n \n \n \n
\n \n \n (0.0310)\n \n \n \n \n
\n 交互项\n
\n HOLIDAY*LARGE\n 		\n \n \n \n -0.0655$^{***}$\n \n \n \n
\n \n \n \n (0.0204)\n \n \n \n
\n 交互项\n
\n HOLIDAY*NEW\n 		\n \n \n \n \n 0.0024\n \n \n
\n \n \n \n \n (0.0173)\n \n \n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_48", "image_path": "OTableR/img/zh_48_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表4B.2 泊松伪极大似然估算结果\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 变量\n \n 泊松伪极大似然系数（1）\n \n 泊松伪极大似然系数（2）\n
\n GDPPC\n \n 0.0220$^{***}$\n \n 0.0219$^{***}$\n
\n (9.98)\n \n (9.72)\n
\n POP\n \n 0.00084$^{***}$\n \n 0.00083$^{***}$\n
\n (3.17)\n \n (3.14)\n
\n DISTCAP\n \n -0.00019$^{***}$\n \n -0.00021$^{***}$\n
\n (-7.49)\n \n (-6.93)\n
\n Contig\n \n 0.3014\n \n 0.2967\n
\n (1.42)\n \n (1.40)\n
\n Commlang\n \n 0.9148$^{***}$\n \n 0.9069$^{***}$\n
\n (4.04)\n \n (4.01)\n
\n Colony\n \n 0.7181$^{**}$\n \n 0.7063$^{**}$\n
\n (2.25)\n \n (2.27)\n
\n BIT\n \n 0.9210$^{***}$\n \n 0.7700$^{***}$\n
\n (4.48)\n \n (2.82)\n
\n X\n \n 0.0166$^{***}$\n \n 0.0169$^{***}$\n
\n (6.14)\n \n (5.98)\n
\n DISTCAP*BIT\n \n \n 0.0000348\n
\n \n (0.88)\n
\n Year\n \n 0.2058$^{***}$\n \n 0.2059$^{***}$\n
\n (12.45)\n \n (12.45)\n
\n Constant\n \n -421.40$^{***}$\n \n -421.51$^{***}$\n
\n (-12.70)\n \n (-12.70)\n
\n Observations\n \n 290061\n \n 216009\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_49", "image_path": "OTableR/img/zh_49_wb.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 工程名称\n \n 占地面\n
\n 积\n 		\n 国有土\n
\n 地划拨\n 		\n 征地面\n
\n 积\n 		\n 征地类\n
\n 型\n 		\n 受影响\n
\n 村/\n
\n 社区\n 		\n 征地影\n
\n 响人口\n 		\n 建筑物\n
\n 拆迁数\n
\n 据\n 		\n 建筑物\n
\n 类型\n 		\n 拆迁影\n
\n 响人口\n 		\n 专用设施拆迁数\n \n 其他附属物拆迁\n
\n 数据\n
\n 亩\n \n 亩\n \n 亩\n \n 个\n \n 人/户\n \n $\\mathrm{m}^2$\n \n 人/户\n
\n \n 程\n \n \n \n \n \n \n \n \n \n \n
\n 西门河\n
\n 避灾广\n
\n 场\n 		\n 19.5\n \n 19.5\n \n \n \n \n 298\n \n 砖混\n \n 32/10\n \n \n
\n 816.4\n \n 砖木\n
\n 石梁子\n
\n 避灾广\n
\n 场\n 		\n 0.7\n \n 0.7\n \n \n \n \n 198.74\n \n 砖混\n \n 13/4\n \n \n
\n 247.22\n \n 砖木\n
\n 合计\n \n 42.7\n \n 42.7\n \n \n \n \n 10819.04\n \n \n 350/102\n \n \n
\n 汉滨区\n \n 西坝泵\n
\n 站工程\n 		\n 15\n \n 15\n \n \n \n \n \n \n \n 电力杆：2根：电力缆线：\n
\n 100米：变压器1个\n 		\n
\n 小西坝\n
\n 片区市\n
\n 政排涝\n
\n 设施工\n
\n 程\n 		\n 138\n \n 138\n \n \n \n \n \n \n \n 电力杆：65根：电力缆\n
\n 线：500米：变压器3个；\n
\n 通信杆：30根：通信缆\n
\n 线：2500 米\n 		\n
\n 南山洪\n
\n 水导排\n
\n 沟渠工\n
\n 程\n 		\n 34\n \n 34\n \n \n \n \n \n \n \n 电力杆：46根：电力缆\n
\n 线：1600米：变压器5\n
\n 个；通信杆：30根：通\n
\n 信缆线：2600米\n 		\n 苗圃：0.5亩：围\n
\n 墙：300米：厕所：\n
\n 4座：门楼：5座；\n
\n 静宁小\n
\n 区综合\n
\n 更新改\n
\n 造工程\n 		\n 7.2\n \n 7.2\n \n \n \n \n 200\n \n 简易\n
\n （储物\n
\n 间）\n 		\n \n 电力杆：8根：电力缆线：\n
\n 600米：变压器2个；通\n
\n 信杆：15根：通信缆线：\n
\n 600米\n 		\n
\n 体育路\n
\n 综合更\n
\n 新改造\n
\n 工程\n 		\n 12\n \n 12\n \n \n \n \n 1200\n \n 砖混\n \n 27/4\n \n 电力杆：7根：电力缆线：\n
\n 400米：变压器1个；通\n
\n 信杆：14根：通信缆线：\n
\n 400米\n 		\n
\n 总计\n \n 206.2\n \n 206.2\n \n \n \n \n 1400\n \n \n 27/4\n \n 电力杆：141 根；电力缆\n \n 苗圃：0.5亩；围\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_4", "image_path": "OTableR/img/zh_4_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表1-2 原子的电子层结构\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 周期\n \n 原子\n
\n 序数\n 		\n 元素\n
\n 符号\n 		\n 电子层结构\n
\n 1\n \n 1\n \n H\n \n $1 s^1$\n
\n 2\n \n He\n \n $1 s^2$\n
\n 2\n \n 3\n \n Li\n \n $[\\mathrm{He}] 2 s^1$\n
\n 4\n \n Be\n \n $[\\mathrm{He}] 2 s^2$\n
\n 5\n \n B\n \n $[\\mathrm{He}] 2 s^2 2 p^1$\n
\n 6\n \n C\n \n $[\\mathrm{He}] 2 s^2 2 p^2$\n
\n 7\n \n N\n \n $[\\mathrm{He}] 2 s^2 2 p^3$\n
\n 8\n \n O\n \n $[\\mathrm{He}] 2 s^2 2 p^4$\n
\n 9\n \n F\n \n $[\\mathrm{He}] 2 s^2 2 p^5$\n
\n 10\n \n Ne\n \n $[\\mathrm{He}] 2 s^2 2 p^6$\n
\n 3\n \n 11\n \n Na\n \n $[\\mathrm{Ne}] 3 s^1$\n
\n 12\n \n Mg\n \n $[\\mathrm{Ne}] 3 s^2$\n
\n 13\n \n Al\n \n $[\\mathrm{Ne}] 3 s^2 3 p^1$\n
\n 14\n \n Si\n \n $[\\mathrm{Ne}] 3 s^2 3 p^2$\n
\n 15\n \n P\n \n $[\\mathrm{Ne}] 3 s^2 3 p^3$\n
\n 16\n \n S\n \n $[\\mathrm{Ne}] 3 s^2 3 p^4$\n
\n 17\n \n Cl\n \n $[\\mathrm{Ne}] 3 s^2 3 p^5$\n
\n 18\n \n Ar\n \n $[\\mathrm{Ne}] 3 s^2 3 p^6$\n
\n 4\n \n 19\n \n K\n \n $[\\mathrm{Ar}] 4 s^1$\n
\n 20\n \n Ca\n \n $[\\mathrm{Ar}] 4 s^2$\n
\n 21\n \n Sc\n \n $[\\mathrm{Ar}] 3 d^1 4 s^2$\n
\n 22\n \n Ti\n \n $[\\mathrm{Ar}] 3 d^2 4 s^2$\n
\n 23\n \n V\n \n $[\\mathrm{Ar}] 3 d^3 4 s^2$\n
\n 24\n \n Cr\n \n $[\\mathrm{Ar}] 3 d^5 4 s^1$\n
\n 25\n \n Mn\n \n $[\\mathrm{Ar}] 3 d^5 4 s^2$\n
\n 26\n \n Fe\n \n $[\\mathrm{Ar}] 3 d^6 4 s^2$\n
\n 27\n \n Co\n \n $[\\mathrm{Ar}] 3 d^7 4 s^2$\n
\n 28\n \n Ni\n \n $[\\mathrm{Ar}] 3 d^8 4 s^2$\n
\n 29\n \n Cu\n \n $[\\mathrm{Ar}] 3 d^{10} 4 s^1$\n
\n 30\n \n Zn\n \n $[\\mathrm{Ar}] 3 d^{10} 4 s^2$\n
\n 31\n \n Ga\n \n $[\\mathrm{Ar}] 3 d^{10} 4 s^2 4 p^1$\n
\n 32\n \n Ge\n \n $[\\mathrm{Ar}] 3 d^{10} 4 s^2 4 p^2$\n
\n 33\n \n As\n \n $[\\mathrm{Ar}] 3 d^{10} 4 s^2 4 p^3$\n
\n 34\n \n Se\n \n $[\\mathrm{Ar}] 3 d^{10} 4 s^2 4 p^4$\n
\n 35\n \n Br\n \n $[\\mathrm{Ar}] 3 d^{10} 4 s^2 4 p^5$\n
\n 36\n \n Kr\n \n $[\\mathrm{Ar}] 3 d^{10} 4 s^2 4 p^6$\n
\n 5\n \n 37\n \n Rb\n \n $[\\mathrm{Kr}] 5 s^1$\n
\n 38\n \n Sr\n \n $[\\mathrm{Kr}] 5 s^2$\n
\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 周期\n \n 原子\n
\n 序数\n 		\n 元素\n
\n 符号\n 		\n 电子层结构\n
\n 5\n \n 39\n \n Y\n \n $[\\mathrm{Kr}] 4 d^1 5 s^2$\n
\n 40\n \n Zr\n \n $[\\mathrm{Kr}] 4 d^2 5 s^2$\n
\n 41\n \n Nb\n \n $[\\mathrm{Kr}] 4 d^4 5 s^1$\n
\n 42\n \n Mo\n \n $[\\mathrm{Kr}] 4 d^5 5 s^1$\n
\n 43\n \n Tc\n \n $[\\mathrm{Kr}] 4 d^5 5 s^2$\n
\n 44\n \n Ru\n \n $[\\mathrm{Kr}] 4 d^7 5 s^1$\n
\n 45\n \n Rh\n \n $[\\mathrm{Kr}] 4 d^8 5 s^1$\n
\n 46\n \n Pd\n \n $[\\mathrm{Kr}] 4 d^{10}$\n
\n 47\n \n Ag\n \n $[\\mathrm{Kr}] 4 d^{10} 5 s^1$\n
\n 48\n \n Cd\n \n $[\\mathrm{Kr}] 4 d^{10} 5 s^2$\n
\n 49\n \n In\n \n $[\\mathrm{Kr}] 4 d^{10} 5 s^2 5 p^1$\n
\n 50\n \n Sn\n \n $[\\mathrm{Kr}] 4 d^{10} 5 s^2 5 p^2$\n
\n 51\n \n Sb\n \n $[\\mathrm{Kr}] 4 d^{10} 5 s^2 5 p^3$\n
\n 52\n \n Te\n \n $[\\mathrm{Kr}] 4 d^{10} 5 s^2 5 p^4$\n
\n 53\n \n I\n \n $[\\mathrm{Kr}] 4 d^{10} 5 s^2 5 p^5$\n
\n 54\n \n Xe\n \n $[\\mathrm{Kr}] 4 d^{10} 5 s^2 5 p^6$\n
\n 6\n \n 55\n \n Cs\n \n $[\\mathrm{Xe}] 6 s^1$\n
\n 56\n \n Ba\n \n $[\\mathrm{Xe}] 6 s^2$\n
\n 57\n \n La\n \n $[\\mathrm{Xe}] 5 d^1 6 s^2$\n
\n 58\n \n Ce\n \n $[\\mathrm{Xe}] 4 f^1 5 d^1 6 s^2$\n
\n 59\n \n Pr\n \n $[\\mathrm{Xe}] 4 f^3 6 s^2$\n
\n 60\n \n Nd\n \n $[\\mathrm{Xe}] 4 f^4 6 s^2$\n
\n 61\n \n Pm\n \n $[\\mathrm{Xe}] 4 f^5 6 s^2$\n
\n 62\n \n Sm\n \n $[\\mathrm{Xe}] 4 f^6 6 s^2$\n
\n 63\n \n Eu\n \n $[\\mathrm{Xe}] 4 f^7 6 s^2$\n
\n 64\n \n Gd\n \n $[\\mathrm{Xe}] 4 f^7 5 d^1 6 s^2$\n
\n 65\n \n Tb\n \n $[\\mathrm{Xe}] 4 f^9 6 s^2$\n
\n 66\n \n Dy\n \n $[\\mathrm{Xe}] 4 f^{10} 6 s^2$\n
\n 67\n \n Ho\n \n $[\\mathrm{Xe}] 4 f^{11} 6 s^2$\n
\n 68\n \n Er\n \n $[\\mathrm{Xe}] 4 f^{12} 6 s^2$\n
\n 69\n \n Tm\n \n $[\\mathrm{Xe}] 4 f^{13} 6 s^2$\n
\n 70\n \n Yb\n \n $[\\mathrm{Xe}] 4 f^{14} 5 s^2$\n
\n 71\n \n Lu\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^1 6 s^2$\n
\n 72\n \n Hf\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^2 6 s^2$\n
\n 73\n \n Ta\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^3 6 s^2$\n
\n 74\n \n W\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^4 6 s^2$\n
\n 75\n \n Re\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^5 6 s^2$\n
\n 76\n \n Os\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^6 6 s^2$\n
\n 77\n \n Tr\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^7 6 s^2$\n
\n 78\n \n Pt\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^9 6 s^1$\n
\n 79\n \n Au\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^{10} 6 s^1$\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_5", "image_path": "OTableR/img/zh_5_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "续表1-2\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 周期\n \n 原子\n
\n 序数\n 		\n 元素\n
\n 符号\n 		\n 电子层结构\n
\n 6\n \n 80\n \n Hg\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^{10} 6 s^2$\n
\n 81\n \n TI\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^{10} 6 s^2 6 p^1$\n
\n 82\n \n Pb\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^{10} 6 s^2 6 p^2$\n
\n 83\n \n Bi\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^{10} 6 s^2 6 p^3$\n
\n 84\n \n Po\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^{10} 6 s^2 6 p^4$\n
\n 85\n \n At\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^{10} 6 s^2 6 p^5$\n
\n 86\n \n Rn\n \n $[\\mathrm{Xe}] 4 f^{14} 5 d^{10} 6 s^2 6 p^6$\n
\n 7\n \n 87\n \n Fr\n \n $[\\mathrm{Rn}] 7 s^1$\n
\n 88\n \n Ra\n \n $[\\mathrm{Rn}] 7 s^2$\n
\n 89\n \n Ac\n \n $[\\mathrm{Rn}] 6 d^1 7 s^2$\n
\n 90\n \n Th\n \n $[\\mathrm{Rn}] 6 d^2 7 s^2$\n
\n 91\n \n Pa\n \n $[\\mathrm{Rn}] 5 f^2 6 d^1 7 s^2$\n
\n 92\n \n U\n \n $[\\mathrm{Rn}] 5 f^3 6 d^1 7 s^2$\n
\n 93\n \n Np\n \n $[\\mathrm{Rn}] 5 f^4 5 d^1 7 s^2$\n
\n 94\n \n Pu\n \n $[\\mathrm{Rn}] 5 f^6 7 s^2$\n
\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 周期\n \n 原子\n
\n 序数\n 		\n 元素\n
\n 符号\n 		\n 电子层结构\n
\n 7\n \n 95\n \n Am\n \n $[\\mathrm{Rn}] 5 f^7 7 s^2$\n
\n 96\n \n Cm\n \n $[\\mathrm{Rn}] 5 f^7 6 d^1 7 s^2$\n
\n 97\n \n Bk\n \n $[\\mathrm{Rn}] 5 f^9 7 s^2$\n
\n 98\n \n Cf\n \n $[\\mathrm{Rn}] 5 f^{10} 7 s^2$\n
\n 99\n \n Es\n \n $[\\mathrm{Rn}] 5 f^{11} 7 s^2$\n
\n 100\n \n Fm\n \n $[\\mathrm{Rn}] 5 f^{12} 7 s^2$\n
\n 101\n \n Md\n \n $[\\mathrm{Rn}] 5 f^{13} 7 s^2$\n
\n 102\n \n No\n \n $[\\mathrm{Rn}] 5 f^{14} 7 s^2$\n
\n 103\n \n Lr\n \n $[\\mathrm{Rn}] 5 f^{14} 6 d^1 7 s^2$\n
\n 104\n \n Rf\n \n $[\\mathrm{Rn}] 5 f^{14} 6 d^2 7 s^2$\n
\n 105\n \n Db\n \n $[\\mathrm{Rn}] 5 f^{14} 6 d^3 7 s^2$\n
\n 106\n \n Sg\n \n $[\\mathrm{Rn}] 5 f^{14} 6 d^4 7 s^2$\n
\n 107\n \n Bh\n \n $[\\mathrm{Rn}] 5 f^{14} 6 d^5 7 s^2$\n
\n 108\n \n Hs\n \n $[\\mathrm{Rn}] 5 f^{14} 6 d^6 7 s^2$\n
\n 109\n \n Mt\n \n $[\\mathrm{Rn}] 5 f^{14} 6 d^7 7 s^2$\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_6", "image_path": "OTableR/img/zh_6_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "表12-12 复合材料的性能\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 复合材料\n \n $\\frac{密度 ρ}{g \\cdot \\mathrm{cm}^{-3}}$\n \n $\\frac{弹性模量 E}{Gpa}$\n \n $\\frac{拉伸强度 \\sigma_{\\mathrm{cu}}}{Mpa}$\n \n $\\frac{比模量 E/ρ}{\\mathrm{GPa} \\cdot\\left(\\mathrm{g} \\cdot \\mathrm{cm}^{-3}\\right)^{-1}}$\n \n $\\frac{比强度 \\sigma_{\\mathrm{cu}} / ρ}{\\mathrm{MPa} \\cdot\\left(\\mathrm{g} \\cdot \\mathrm{cm}^{-3}\\right)^{-1}}$\n
\n 40% CF/尼龙 66\n \n 1.34\n \n 22\n \n 246\n \n 16\n \n 184\n
\n 连续S-玻璃纤\n
\n 维/环氧树脂\n 		\n 1.99\n \n 60\n \n 1750\n \n 30\n \n 879\n
\n 25% SiCW/氧化铝\n \n 3.7\n \n 390\n \n 900（弯曲强度）\n \n 105\n \n —\n
\n 50% $\\mathrm{Al}_2 \\mathrm{O}_3/\\mathrm{Al}$合金\n \n 2.9\n \n 130\n \n 900\n \n 45\n \n 310\n
\n 纯AI\n \n 2.7\n \n 69\n \n 100\n \n 26\n \n 37\n
\n A3钢\n \n 7.86\n \n 210\n \n 460\n \n 27\n \n 59\n
\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_7", "image_path": "OTableR/img/zh_7_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "续表\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 电对\n \n 电极反应\n \n $\\varphi^{\\ominus} / V$\n
\n $\\mathrm{Hg}_2 \\mathrm{Br}_2 / \\mathrm{Hg}$\n \n $\\mathrm{Hg}_2 \\mathrm{Br}_2+2 \\mathrm{e} \\rightleftharpoons 2 \\mathrm{Hg}+2 \\mathrm{Br}^{-}$\n \n 0.14\n
\n $\\mathrm{S} / \\mathrm{H}_2 \\mathrm{~S}(\\mathrm{aq})$\n \n $\\mathrm{S}+2 \\mathrm{H}^{+}+2 \\mathrm{e} \\rightleftharpoons \\mathrm{H}_2 \\mathrm{~S}(\\mathrm{aq})$\n \n 0.142\n
\n $\\mathrm{Sn}^{4+}/ \\mathrm{Sn}^{2+}$\n \n $\\mathrm{Sn}^{4+}+2 \\mathrm{e} \\rightleftharpoons \\mathrm{Sn}^{2+}$\n \n 0.151\n
\n $\\mathrm{Sb}_2 \\mathrm{O}_3 / \\mathrm{Sb}$\n \n $\\mathrm{Sb}_2 \\mathrm{O}_3+6 \\mathrm{H}^{+}+6 \\mathrm{e} \\rightleftharpoons 2 \\mathrm{Sb}+3 \\mathrm{H}_2 \\mathrm{O}$\n \n 0.152\n
\n $\\mathrm{Cu}^{2+} / \\mathrm{Cu}^{+}$\n \n $\\mathrm{Cu}^{2+}+\\mathrm{e} \\rightleftharpoons \\mathrm{Cu}^{+}$\n \n 0.153\n
\n $\\mathrm{SO}_4^{2-} / \\mathrm{H}_2 \\mathrm{SO}_3$\n \n $\\mathrm{SO}_4^{2-}+4 \\mathrm{H}^{+}+2 \\mathrm{e} \\rightleftharpoons \\mathrm{H}_2 \\mathrm{SO}_3+\\mathrm{H}_2 \\mathrm{O}$\n \n 0.172\n
\n $\\mathrm{AgCl} / \\mathrm{Ag}$\n \n $\\mathrm{AgCl}+\\mathrm{e} \\rightleftharpoons \\mathrm{Ag}+\\mathrm{Cl}$\n \n 0.222\n
\n $\\mathrm{HgBr}_4^{2-} / \\mathrm{Hg}$\n \n $\\mathrm{HgBr}_4^{2-}+2 \\mathrm{e} \\rightleftharpoons \\mathrm{Hg}+4 \\mathrm{Br}^{-}$\n \n 0.223\n
\n $\\mathrm{H}_3 \\mathrm{AsO}_3 / \\mathrm{As}$\n \n $\\mathrm{H}_3 \\mathrm{AsO}_3+3 \\mathrm{H}^{+}+3 \\mathrm{e} \\rightleftharpoons \\mathrm{As}+3 \\mathrm{H}_2 \\mathrm{O}$\n \n 0.248\n
\n $\\mathrm{ReO}_2 / \\mathrm{Re}$\n \n $\\mathrm{ReO}_2+4 \\mathrm{H}^{+}+4 \\mathrm{e} \\rightleftharpoons \\mathrm{Re}+2 \\mathrm{H}_2 \\mathrm{O}$\n \n 0.251\n
\n $\\mathrm{Hg}_2 \\mathrm{Cl}_2 / \\mathrm{Hg}$\n \n $\\mathrm{Hg}_2 \\mathrm{Cl}_2+2 \\mathrm{e} \\rightleftharpoons 2 \\mathrm{Hg}+2 \\mathrm{Cl}^{-}$\n \n 0.268\n
\n $\\mathrm{Cr}_2 \\mathrm{O}_7^{2-} / \\mathrm{Cr}$\n \n $\\mathrm{Cr}_2 \\mathrm{O}^{2-}+14 \\mathrm{H}^{+}+12 \\mathrm{e} \\rightleftharpoons 2 \\mathrm{Cr}^2+7 \\mathrm{H}_2 \\mathrm{O}$\n \n 0.294\n
\n $\\mathrm{Cu}^{2+} / \\mathrm{Cu}$\n \n $\\mathrm{Cu}^{2+}+2 \\mathrm{e} \\rightleftharpoons \\mathrm{Cu}$\n \n 0.337\n
\n $\\mathrm{AgIO}_3 / \\mathrm{Ag}$\n \n $\\mathrm{AgIO}_3+\\mathrm{e} \\rightleftharpoons \\mathrm{Ag}+\\mathrm{IO}_3^{-}$\n \n 0.345\n
\n $\\mathrm{SO}_4^{2-}/ \\mathrm{S}$\n \n $\\mathrm{SO}_4^{2-}+8 \\mathrm{H}^{+}+6 \\mathrm{e} \\rightleftharpoons \\mathrm{S}+4 \\mathrm{H}_2 \\mathrm{O}$\n \n 0.357\n
\n $\\mathrm{Fe}(\\mathrm{CN})_6^{3-} / \\mathrm{Fe}(\\mathrm{CN})_6^{4-}$\n \n $\\mathrm{Fe}(\\mathrm{CN})_6^3+\\mathrm{e} \\rightleftharpoons \\mathrm{Fe}(\\mathrm{CN})_6^{4-}$\n \n 0.358\n
\n $\\mathrm{ReO}_4^{-} / \\mathrm{Re}$\n \n $\\mathrm{ReO}_4^{-}+8 \\mathrm{H}^{+}+7 \\mathrm{e} \\rightleftharpoons \\mathrm{Re}+4 \\mathrm{H}_2 \\mathrm{O}$\n \n 0.362\n
\n $\\mathrm{H}_2 \\mathrm{SO}_3 / \\mathrm{S}_2 \\mathrm{O}_3^{2-}$\n \n $2 \\mathrm{H}_2 \\mathrm{SO}_3+2 \\mathrm{H}^{+}+4 \\mathrm{2} \\rightleftharpoons \\mathrm{~S}_2 \\mathrm{O}_3^{2-}+3 \\mathrm{H}_2 \\mathrm{O}$\n \n 0.4\n
\n $\\mathrm{Co}^{3+} / \\mathrm{Co}$\n \n $\\mathrm{Co}^{3+}+3 \\mathrm{e} \\rightleftharpoons \\mathrm{Co}$\n \n 0.429\n
\n $\\mathrm{RhCl}_6^{3-} / \\mathrm{Rh}$\n \n $\\mathrm{RhCl}_6^{3-}+3 \\mathrm{e} \\rightleftharpoons \\mathrm{Rh}+6 \\mathrm{Cl}^{-}$\n \n 0.431\n
\n $\\mathrm{Ag}_2 \\mathrm{CrO}_4 / \\mathrm{Ag}$\n \n $\\mathrm{Ag}_2 \\mathrm{CrO}_4+2 \\mathrm{e} \\rightleftharpoons 2 \\mathrm{Ag}+\\mathrm{CrO}_4^{2-}$\n \n 0.447\n
\n $\\mathrm{H}_2 \\mathrm{SO}_3 / \\mathrm{S}$\n \n $\\mathrm{H}_2 \\mathrm{SO}_3+4 \\mathrm{H}^{+}+4 \\mathrm{e} \\rightleftharpoons \\mathrm{~S}+3 \\mathrm{H}_2 \\mathrm{O}$\n \n 0.449\n
\n $\\mathrm{Ag}_2 \\mathrm{C}_2 \\mathrm{O}_4 / \\mathrm{Ag}$\n \n $\\mathrm{Ag}_2 \\mathrm{C}_2 \\mathrm{O}_4+2 \\mathrm{e} \\rightleftharpoons 2 \\mathrm{Ag}+\\mathrm{C}_2 \\mathrm{O}_4^{2-}$\n \n 0.465\n
\n $\\mathrm{Ag}_2 \\mathrm{MoO}_4 / \\mathrm{Ag}$\n \n $\\mathrm{Ag}_2 \\mathrm{MoO}_4+2 \\mathrm{e} \\rightleftharpoons 2 \\mathrm{Ag}+\\mathrm{MoO}_4^{2-}$\n \n 0.486\n
\n $\\mathrm{ReO}_4^{-} / \\mathrm{ReO}_2$\n \n $\\mathrm{ReO}_4^{-}+4 \\mathrm{H}^{+}+3 \\mathrm{e} \\rightleftharpoons \\mathrm{ReO}_2+2 \\mathrm{H}_2 \\mathrm{O}$\n \n 0.51\n
\n $\\mathrm{H}_2 \\mathrm{SO}_3 / \\mathrm{S}_4 \\mathrm{O}_6^{2-}$\n \n $4 \\mathrm{H}_2 \\mathrm{SO}_3+4 \\mathrm{H}^{+}+6 \\mathrm{C} \\rightleftharpoons \\mathrm{~S}_4 \\mathrm{O}_6^{2-}+6 \\mathrm{H}_2 \\mathrm{O}$\n \n 0.512\n
\n $\\mathrm{C}_2 \\mathrm{H}_4 / \\mathrm{C}_2 \\mathrm{H}_6$\n \n $\\mathrm{C}_2 \\mathrm{H}_4+2 \\mathrm{H}^{+}+2 \\mathrm{e} \\rightleftharpoons \\mathrm{C}_2 \\mathrm{H}_6$\n \n 0.52\n
\n $\\mathrm{Cu}^{+} / \\mathrm{Cu}$\n \n $\\mathrm{Cu}^{+}+\\mathrm{e} \\rightleftharpoons \\mathrm{Cu}$\n \n 0.521\n
\n $\\mathrm{TeO}_2 / \\mathrm{Te}$\n \n $\\mathrm{TeO}_2+4 \\mathrm{H}^{+}+4 \\mathrm{e} \\rightleftharpoons \\mathrm{Te}+2 \\mathrm{H}_2 \\mathrm{O}$\n \n 0.529\n
\n $\\mathrm{I}_2 / \\mathrm{I}$\n \n $\\mathrm{I}_2+2 \\mathrm{e} \\rightleftharpoons 2 \\mathrm{I}^{-}$\n \n 0.535\n
\n $\\mathrm{Cu}^{2+} / \\mathrm{CuCl}$\n \n $\\mathrm{Cu}^{2+}+\\mathrm{Cl}^{-}+e \\rightleftharpoons \\mathrm{CuCl}$\n \n 0.538\n
\n $\\mathrm{AgBrO}_3 / \\mathrm{Ag}$\n \n $\\mathrm{AgBrO}_3+\\mathrm{e} \\rightleftharpoons \\mathrm{Ag}+\\mathrm{BrO}_3^{-}$\n \n 0.546\n
\n $\\mathrm{H}_3 \\mathrm{AsO}_4 / \\mathrm{H}_3 \\mathrm{AsO}_3$\n \n $\\mathrm{H}_3 \\mathrm{AsO}_4+2 \\mathrm{H}^{+}+2 \\mathrm{e} \\rightleftharpoons \\mathrm{H}_3 \\mathrm{AsO}_3+\\mathrm{H}_2 \\mathrm{O}$\n \n 0.56\n
\n $\\mathrm{AgNO}_2 / \\mathrm{Ag}$\n \n $\\mathrm{AgNO}_2+e \\rightleftharpoons \\mathrm{Ag}+\\mathrm{NO}_2^{-}$\n \n 0.564\n
\n $\\mathrm{PtBr}_4^{2-} / \\mathrm{Pt}$\n \n $\\mathrm{PtBr}_4^{2-}+2 \\mathrm{e} \\rightleftharpoons \\mathrm{Pt}+4 \\mathrm{Br}^{-}$\n \n 0.581\n
\n $\\mathrm{CH}_3 \\mathrm{OH} / \\mathrm{CH}_4$\n \n $\\mathrm{CH}_3 \\mathrm{OH}+2 \\mathrm{H}^{+}+2 \\mathrm{e} \\rightleftharpoons \\mathrm{CH}_4+\\mathrm{H}_2 \\mathrm{O}$\n \n 0.588\n
\n $\\mathrm{PdBr}_4^{2-} / \\mathrm{Pd}$\n \n $\\mathrm{PdBr}_4^{2-}+2 \\mathrm{e} \\rightleftharpoons \\mathrm{Pd}+4 \\mathrm{Br}^{-}$\n \n 0.6\n
\n $\\mathrm{Hg}_2 \\mathrm{SO}_4 / \\mathrm{Hg}$\n \n $\\mathrm{Hg}_2 \\mathrm{SO}_4+2 \\mathrm{e} \\rightleftharpoons 2 \\mathrm{Hg}+\\mathrm{SO}_4^{2-}$\n \n 0.615\n
\n $\\mathrm{PdCl}_4^{2-} / \\mathrm{Pd}$\n \n $\\mathrm{PdCl}_4^{2-}+2 \\mathrm{e} \\leftrightharpoons \\mathrm{Pd}+4 \\mathrm{Cl}^{-}$\n \n 0.62\n
\n $\\mathrm{HgCl}_2 / \\mathrm{Hg}_2 \\mathrm{Cl}_2$\n \n $2 \\mathrm{HgCl}_2+2 e \\rightleftharpoons \\mathrm{Hg}_2 \\mathrm{Cl}_2+2 \\mathrm{Cl}^{-}$\n \n 0.63\n
\n $\\mathrm{Cu}^{2+}/ \\mathrm{CuBr}^2$\n \n $\\mathrm{Cu}^{2+}+\\mathrm{Br}^{-}+\\mathrm{e} \\rightleftharpoons \\mathrm{CuBr}$\n \n 0.64\n
\n3121\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_8", "image_path": "OTableR/img/zh_8_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "续表3-2\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n TQ324.3\n \n 聚乙烯醇缩醛\n
\n TQ324.4\n \n 无机聚合物及塑料\n
\n TQ324.8\n \n 特种性能塑料\n
\n 导电、导磁、耐高温、耐低温塑料等入此\n
\n TQ324.9\n \n 其他\n
\n TQ325\n \n 聚合类树脂及塑料\n
\n 总论热塑性树脂及塑料入此。\n
\n 离子交换树脂人 TQ425.23。\n
\n TQ325.1\n \n 聚烯烃类及塑料\n
\n $TQ325.1^+2$\n \n 聚乙烯\n
\n 高密度聚乙烯、中密度聚乙烯、低密度聚乙烯、\n
\n 氯化聚乙烯、乙烯共聚物、乙丙塑料、增强聚乙烯\n
\n 等入此\n
\n $TQ325.1^+4$\n \n 聚丙烯\n
\n 氯化聚丙烯、增强聚丙烯、丙烯共聚物、发光塑\n
\n 料薄膜等入此\n
\n $TQ325.1^+5$\n \n 聚丁烯\n
\n TQ325.2\n \n 聚苯乙烯及其共聚物\n
\n 苯乙烯共聚物、ABS 树脂、增强聚苯乙烯塑料等入\n
\n 此\n
\n TQ325.3\n \n 聚氯乙烯及塑料\n
\n 聚氯乙烯及其化合物、共聚物，氯化聚氯乙烯等入\n
\n 此\n
\n TQ325.4\n \n 聚氟乙烯\n
\n 聚四氟乙烯、聚偏氟乙烯及其他共聚物等入此\n
\n TQ325.5\n \n 聚醋酸乙烯酯类\n
\n TQ325.6\n \n 聚乙烯基醚基类\n
\n TQ325.7\n \n 聚丙烯酸酯树脂及塑料\n
\n 聚丙烯酸甲酯、聚甲基丙烯酸甲酯（有机玻璃）、丙\n
\n 烯酸共聚物入此\n
\n TQ325.8\n \n 聚丙烯腈类\n
\n77\n", "type": "Table" }, { "sub_set": "OTableR", "id": "otabler_zh_9", "image_path": "OTableR/img/zh_9_lib.jpeg", "prompt": "请识别并解析图中的表格，用HTML格式输出。文本的换行符号用‘
’。表格外的文字用普通文本输出。标题不写入HTML中。如果有图例，将图例对应的文本填入表格。公式用‘$’包裹。化学结构式用‘’和‘<\\smi>’包裹SMILES。不要输出多余的样式和属性。", "answer": "228 第三篇 有机篇\n续表1-1\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\n 类别\n
\n （英文名）\n 		\n 通式\n \n 官能团\n \n 实例\n
\n 结构\n \n 名称\n \n 结构\n \n 名称\n
\n 卤代烃\n
\n ( halogenate)\n 		\n $\\mathrm{R}-\\mathrm{X}$\n \n $-\\mathrm{X}$\n \n 卤基\n \n \n CCl<\\s>\n \n \n 一氯甲烷\n
\n 醇\n
\n (alcohol)\n 		\n $\\mathrm{R}-\\mathrm{OH}$\n
\n （羟基与烃基相连）\n 		\n $-\\mathrm{OH}$\n \n 羟基\n \n \n CCO<\\s>\n \n \n 乙醇\n
\n 酚\n
\n (phenol)\n 		\n $\\mathrm{Ar}-\\mathrm{OH}$\n
\n （羟基与芳环相连）\n 		\n $-\\mathrm{OH}$\n \n 羟基\n \n \n Oc1ccccc1<\\s>\n \n \n 苯酚\n
\n 醚\n
\n (ether)\n 		\n $\\mathrm{R}-\\mathrm{O}-\\mathrm{R}^{\\prime}$\n
\n （R与R’可以相同）\n 		\n $-\\mathrm{C}-\\mathrm{O}-\\mathrm{C}-$\n \n 醚键\n \n \n COC<\\s>\n \n \n 甲醚\n
\n 醛\n
\n (aldehyde)\n 		\n $\\mathrm{RCHO}$\n \n \n CC=O<\\s>\n \n \n 醛基\n \n \n CC=O<\\s>\n \n \n 乙醛\n
\n 酮\n
\n ( ketone)\n 		\n $\\mathrm{RCOR'}$\n
\n （R与R’可以相同）\n 		\n \n CC(C)=O<\\s>\n \n \n 羰基\n \n \n CC(C)=O<\\s>\n \n \n 丙酮\n
\n 羧酸\n
\n (carboxylic acid)\n 		\n $\\mathrm{RCOOH}$\n \n $-\\mathrm{COOH}$\n \n 羧基\n \n \n CC(=O)O<\\s>\n \n \n 乙酸\n
\n 酯\n
\n ( ester)\n 		\n $\\mathrm{RCOOR'}$\n \n $-\\mathrm{COOR'}$\n \n 酯基\n \n \n CCOC(C)=O<\\s>\n \n \n 乙酸乙酯\n
\n 胺\n
\n (amine)\n 		\n $\\mathrm{RNH}_2$\n \n $\\mathrm{NH}_2$\n \n 氨基\n \n \n CN<\\s>\n \n \n 甲胺\n
\n 腈\n
\n (nitrile)\n 		\n $\\mathrm{RCN}$\n \n $-\\mathrm{CN}$\n \n 氰基\n \n \n CC#N<\\s>\n \n \n 乙腈\n
\n", "type": "Table" } ]