{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nIndia,IND,1990,58.6184\nIndia,IND,1991,59.0324\nIndia,IND,1992,59.445\nIndia,IND,1993,59.823\nIndia,IND,1994,60.2372\nIndia,IND,1995,60.6295\nIndia,IND,1996,61.0269\nIndia,IND,1997,61.4393\nIndia,IND,1998,61.8525\nIndia,IND,1999,62.2837\nIndia,IND,2000,62.7492\nIndia,IND,2001,63.1581\nIndia,IND,2002,63.6486\nIndia,IND,2003,64.0862\nIndia,IND,2004,64.4843\nIndia,IND,2005,64.9385\nIndia,IND,2006,65.3726\nIndia,IND,2007,65.8034\nIndia,IND,2008,66.2471\nIndia,IND,2009,66.7001\nIndia,IND,2010,67.1616\nIndia,IND,2011,67.6228\nIndia,IND,2012,68.0763\nIndia,IND,2013,68.499\nIndia,IND,2014,68.9323\nIndia,IND,2015,69.326\nIndia,IND,2016,69.7091\nIndia,IND,2017,70.0676\nIndia,IND,2018,70.4152\nIndia,IND,2019,70.7463\nIndia,IND,2020,70.1563\nIndia,IND,2021,67.2823\nIndia,IND,2022,71.6984\nIndia,IND,2023,72.0026\n```\n\nAccording to this chart, what was life expectancy in India in 2009?","response":"Reading the plotted point for 2009, life expectancy in India was 66.7 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nIndia,IND,1990,58.6184\nIndia,IND,1991,59.0324\nIndia,IND,1992,59.445\nIndia,IND,1993,59.823\nIndia,IND,1994,60.2372\nIndia,IND,1995,60.6295\nIndia,IND,1996,61.0269\nIndia,IND,1997,61.4393\nIndia,IND,1998,61.8525\nIndia,IND,1999,62.2837\nIndia,IND,2000,62.7492\nIndia,IND,2001,63.1581\nIndia,IND,2002,63.6486\nIndia,IND,2003,64.0862\nIndia,IND,2004,64.4843\nIndia,IND,2005,64.9385\nIndia,IND,2006,65.3726\nIndia,IND,2007,65.8034\nIndia,IND,2008,66.2471\nIndia,IND,2009,66.7001\nIndia,IND,2010,67.1616\nIndia,IND,2011,67.6228\nIndia,IND,2012,68.0763\nIndia,IND,2013,68.499\nIndia,IND,2014,68.9323\nIndia,IND,2015,69.326\nIndia,IND,2016,69.7091\nIndia,IND,2017,70.0676\nIndia,IND,2018,70.4152\nIndia,IND,2019,70.7463\nIndia,IND,2020,70.1563\nIndia,IND,2021,67.2823\nIndia,IND,2022,71.6984\nIndia,IND,2023,72.0026\n```\n\nIn which year shown does life expectancy reach its highest value for India?","response":"The series peaks in 2023, at 72 years. The lowest point shown is 1990, at 58.62 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nIndia,IND,1990,58.6184\nIndia,IND,1991,59.0324\nIndia,IND,1992,59.445\nIndia,IND,1993,59.823\nIndia,IND,1994,60.2372\nIndia,IND,1995,60.6295\nIndia,IND,1996,61.0269\nIndia,IND,1997,61.4393\nIndia,IND,1998,61.8525\nIndia,IND,1999,62.2837\nIndia,IND,2000,62.7492\nIndia,IND,2001,63.1581\nIndia,IND,2002,63.6486\nIndia,IND,2003,64.0862\nIndia,IND,2004,64.4843\nIndia,IND,2005,64.9385\nIndia,IND,2006,65.3726\nIndia,IND,2007,65.8034\nIndia,IND,2008,66.2471\nIndia,IND,2009,66.7001\nIndia,IND,2010,67.1616\nIndia,IND,2011,67.6228\nIndia,IND,2012,68.0763\nIndia,IND,2013,68.499\nIndia,IND,2014,68.9323\nIndia,IND,2015,69.326\nIndia,IND,2016,69.7091\nIndia,IND,2017,70.0676\nIndia,IND,2018,70.4152\nIndia,IND,2019,70.7463\nIndia,IND,2020,70.1563\nIndia,IND,2021,67.2823\nIndia,IND,2022,71.6984\nIndia,IND,2023,72.0026\n```\n\nHow much did life expectancy change for India between 1990 and 2023?","response":"It moved from 58.62 years in 1990 to 72 years in 2023, a change of 13.38 years (+22.83%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nIndia,IND,1990,58.6184\nIndia,IND,1991,59.0324\nIndia,IND,1992,59.445\nIndia,IND,1993,59.823\nIndia,IND,1994,60.2372\nIndia,IND,1995,60.6295\nIndia,IND,1996,61.0269\nIndia,IND,1997,61.4393\nIndia,IND,1998,61.8525\nIndia,IND,1999,62.2837\nIndia,IND,2000,62.7492\nIndia,IND,2001,63.1581\nIndia,IND,2002,63.6486\nIndia,IND,2003,64.0862\nIndia,IND,2004,64.4843\nIndia,IND,2005,64.9385\nIndia,IND,2006,65.3726\nIndia,IND,2007,65.8034\nIndia,IND,2008,66.2471\nIndia,IND,2009,66.7001\nIndia,IND,2010,67.1616\nIndia,IND,2011,67.6228\nIndia,IND,2012,68.0763\nIndia,IND,2013,68.499\nIndia,IND,2014,68.9323\nIndia,IND,2015,69.326\nIndia,IND,2016,69.7091\nIndia,IND,2017,70.0676\nIndia,IND,2018,70.4152\nIndia,IND,2019,70.7463\nIndia,IND,2020,70.1563\nIndia,IND,2021,67.2823\nIndia,IND,2022,71.6984\nIndia,IND,2023,72.0026\n```\n\nWas life expectancy in India higher in 1990 or 2017?","response":"Higher in 2017. The chart gives 58.62 years for 1990 and 70.07 years for 2017, a difference of 11.45 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nIndia,IND,1990,58.6184\nIndia,IND,1991,59.0324\nIndia,IND,1992,59.445\nIndia,IND,1993,59.823\nIndia,IND,1994,60.2372\nIndia,IND,1995,60.6295\nIndia,IND,1996,61.0269\nIndia,IND,1997,61.4393\nIndia,IND,1998,61.8525\nIndia,IND,1999,62.2837\nIndia,IND,2000,62.7492\nIndia,IND,2001,63.1581\nIndia,IND,2002,63.6486\nIndia,IND,2003,64.0862\nIndia,IND,2004,64.4843\nIndia,IND,2005,64.9385\nIndia,IND,2006,65.3726\nIndia,IND,2007,65.8034\nIndia,IND,2008,66.2471\nIndia,IND,2009,66.7001\nIndia,IND,2010,67.1616\nIndia,IND,2011,67.6228\nIndia,IND,2012,68.0763\nIndia,IND,2013,68.499\nIndia,IND,2014,68.9323\nIndia,IND,2015,69.326\nIndia,IND,2016,69.7091\nIndia,IND,2017,70.0676\nIndia,IND,2018,70.4152\nIndia,IND,2019,70.7463\nIndia,IND,2020,70.1563\nIndia,IND,2021,67.2823\nIndia,IND,2022,71.6984\nIndia,IND,2023,72.0026\n```\n\nAccording to this chart, what was life expectancy in India in 2009?","response":"Reading the plotted point for 2009, life expectancy in India was 66.7 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nIndia,IND,1990,58.6184\nIndia,IND,1991,59.0324\nIndia,IND,1992,59.445\nIndia,IND,1993,59.823\nIndia,IND,1994,60.2372\nIndia,IND,1995,60.6295\nIndia,IND,1996,61.0269\nIndia,IND,1997,61.4393\nIndia,IND,1998,61.8525\nIndia,IND,1999,62.2837\nIndia,IND,2000,62.7492\nIndia,IND,2001,63.1581\nIndia,IND,2002,63.6486\nIndia,IND,2003,64.0862\nIndia,IND,2004,64.4843\nIndia,IND,2005,64.9385\nIndia,IND,2006,65.3726\nIndia,IND,2007,65.8034\nIndia,IND,2008,66.2471\nIndia,IND,2009,66.7001\nIndia,IND,2010,67.1616\nIndia,IND,2011,67.6228\nIndia,IND,2012,68.0763\nIndia,IND,2013,68.499\nIndia,IND,2014,68.9323\nIndia,IND,2015,69.326\nIndia,IND,2016,69.7091\nIndia,IND,2017,70.0676\nIndia,IND,2018,70.4152\nIndia,IND,2019,70.7463\nIndia,IND,2020,70.1563\nIndia,IND,2021,67.2823\nIndia,IND,2022,71.6984\nIndia,IND,2023,72.0026\n```\n\nIn which year shown does life expectancy reach its highest value for India?","response":"The series peaks in 2023, at 72 years. The lowest point shown is 1990, at 58.62 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nIndia,IND,1990,58.6184\nIndia,IND,1991,59.0324\nIndia,IND,1992,59.445\nIndia,IND,1993,59.823\nIndia,IND,1994,60.2372\nIndia,IND,1995,60.6295\nIndia,IND,1996,61.0269\nIndia,IND,1997,61.4393\nIndia,IND,1998,61.8525\nIndia,IND,1999,62.2837\nIndia,IND,2000,62.7492\nIndia,IND,2001,63.1581\nIndia,IND,2002,63.6486\nIndia,IND,2003,64.0862\nIndia,IND,2004,64.4843\nIndia,IND,2005,64.9385\nIndia,IND,2006,65.3726\nIndia,IND,2007,65.8034\nIndia,IND,2008,66.2471\nIndia,IND,2009,66.7001\nIndia,IND,2010,67.1616\nIndia,IND,2011,67.6228\nIndia,IND,2012,68.0763\nIndia,IND,2013,68.499\nIndia,IND,2014,68.9323\nIndia,IND,2015,69.326\nIndia,IND,2016,69.7091\nIndia,IND,2017,70.0676\nIndia,IND,2018,70.4152\nIndia,IND,2019,70.7463\nIndia,IND,2020,70.1563\nIndia,IND,2021,67.2823\nIndia,IND,2022,71.6984\nIndia,IND,2023,72.0026\n```\n\nHow much did life expectancy change for India between 1990 and 2023?","response":"It moved from 58.62 years in 1990 to 72 years in 2023, a change of 13.38 years (+22.83%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nIndia,IND,1990,58.6184\nIndia,IND,1991,59.0324\nIndia,IND,1992,59.445\nIndia,IND,1993,59.823\nIndia,IND,1994,60.2372\nIndia,IND,1995,60.6295\nIndia,IND,1996,61.0269\nIndia,IND,1997,61.4393\nIndia,IND,1998,61.8525\nIndia,IND,1999,62.2837\nIndia,IND,2000,62.7492\nIndia,IND,2001,63.1581\nIndia,IND,2002,63.6486\nIndia,IND,2003,64.0862\nIndia,IND,2004,64.4843\nIndia,IND,2005,64.9385\nIndia,IND,2006,65.3726\nIndia,IND,2007,65.8034\nIndia,IND,2008,66.2471\nIndia,IND,2009,66.7001\nIndia,IND,2010,67.1616\nIndia,IND,2011,67.6228\nIndia,IND,2012,68.0763\nIndia,IND,2013,68.499\nIndia,IND,2014,68.9323\nIndia,IND,2015,69.326\nIndia,IND,2016,69.7091\nIndia,IND,2017,70.0676\nIndia,IND,2018,70.4152\nIndia,IND,2019,70.7463\nIndia,IND,2020,70.1563\nIndia,IND,2021,67.2823\nIndia,IND,2022,71.6984\nIndia,IND,2023,72.0026\n```\n\nWas life expectancy in India higher in 1990 or 2017?","response":"Higher in 2017. The chart gives 58.62 years for 1990 and 70.07 years for 2017, a difference of 11.45 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nIndia,IND,1990,58.6184\nIndia,IND,1991,59.0324\nIndia,IND,1992,59.445\nIndia,IND,1993,59.823\nIndia,IND,1994,60.2372\nIndia,IND,1995,60.6295\nIndia,IND,1996,61.0269\nIndia,IND,1997,61.4393\nIndia,IND,1998,61.8525\nIndia,IND,1999,62.2837\nIndia,IND,2000,62.7492\nIndia,IND,2001,63.1581\nIndia,IND,2002,63.6486\nIndia,IND,2003,64.0862\nIndia,IND,2004,64.4843\nIndia,IND,2005,64.9385\nIndia,IND,2006,65.3726\nIndia,IND,2007,65.8034\nIndia,IND,2008,66.2471\nIndia,IND,2009,66.7001\nIndia,IND,2010,67.1616\nIndia,IND,2011,67.6228\nIndia,IND,2012,68.0763\nIndia,IND,2013,68.499\nIndia,IND,2014,68.9323\nIndia,IND,2015,69.326\nIndia,IND,2016,69.7091\nIndia,IND,2017,70.0676\nIndia,IND,2018,70.4152\nIndia,IND,2019,70.7463\nIndia,IND,2020,70.1563\nIndia,IND,2021,67.2823\nIndia,IND,2022,71.6984\nIndia,IND,2023,72.0026\n```\n\nThis chart makes the change in life expectancy for India look dramatic. Is it?","response":"The values change by +22.83%, from 58.62 years to 72 years. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nIndia,IND,1990,58.6184\nIndia,IND,1991,59.0324\nIndia,IND,1992,59.445\nIndia,IND,1993,59.823\nIndia,IND,1994,60.2372\nIndia,IND,1995,60.6295\nIndia,IND,1996,61.0269\nIndia,IND,1997,61.4393\nIndia,IND,1998,61.8525\nIndia,IND,1999,62.2837\nIndia,IND,2000,62.7492\nIndia,IND,2001,63.1581\nIndia,IND,2002,63.6486\nIndia,IND,2003,64.0862\nIndia,IND,2004,64.4843\nIndia,IND,2005,64.9385\nIndia,IND,2006,65.3726\nIndia,IND,2007,65.8034\nIndia,IND,2008,66.2471\nIndia,IND,2009,66.7001\nIndia,IND,2010,67.1616\nIndia,IND,2011,67.6228\nIndia,IND,2012,68.0763\nIndia,IND,2013,68.499\nIndia,IND,2014,68.9323\nIndia,IND,2015,69.326\nIndia,IND,2016,69.7091\nIndia,IND,2017,70.0676\nIndia,IND,2018,70.4152\nIndia,IND,2019,70.7463\nIndia,IND,2020,70.1563\nIndia,IND,2021,67.2823\nIndia,IND,2022,71.6984\nIndia,IND,2023,72.0026\n```\n\nThis chart appears to show life expectancy in India rising steeply. How large is the increase actually?","response":"The plotted values run from 58.62 years to 72 years, so the actual change is +22.83%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 52.35 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nIndia,IND,1990,58.6184\nIndia,IND,1991,59.0324\nIndia,IND,1992,59.445\nIndia,IND,1993,59.823\nIndia,IND,1994,60.2372\nIndia,IND,1995,60.6295\nIndia,IND,1996,61.0269\nIndia,IND,1997,61.4393\nIndia,IND,1998,61.8525\nIndia,IND,1999,62.2837\nIndia,IND,2000,62.7492\nIndia,IND,2001,63.1581\nIndia,IND,2002,63.6486\nIndia,IND,2003,64.0862\nIndia,IND,2004,64.4843\nIndia,IND,2005,64.9385\nIndia,IND,2006,65.3726\nIndia,IND,2007,65.8034\nIndia,IND,2008,66.2471\nIndia,IND,2009,66.7001\nIndia,IND,2010,67.1616\nIndia,IND,2011,67.6228\nIndia,IND,2012,68.0763\nIndia,IND,2013,68.499\nIndia,IND,2014,68.9323\nIndia,IND,2015,69.326\nIndia,IND,2016,69.7091\nIndia,IND,2017,70.0676\nIndia,IND,2018,70.4152\nIndia,IND,2019,70.7463\nIndia,IND,2020,70.1563\nIndia,IND,2021,67.2823\nIndia,IND,2022,71.6984\nIndia,IND,2023,72.0026\n```\n\nWhat was life expectancy for India in 1975?","response":"That year is outside this chart. The series runs 1990 to 2023, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 58.62 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__India__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nBrazil,BRA,1990,65.8624\nBrazil,BRA,1991,66.203\nBrazil,BRA,1992,66.5393\nBrazil,BRA,1993,66.8923\nBrazil,BRA,1994,67.2934\nBrazil,BRA,1995,67.7006\nBrazil,BRA,1996,68.1084\nBrazil,BRA,1997,68.505\nBrazil,BRA,1998,68.8482\nBrazil,BRA,1999,69.2111\nBrazil,BRA,2000,69.5842\nBrazil,BRA,2001,69.98\nBrazil,BRA,2002,70.3958\nBrazil,BRA,2003,70.8841\nBrazil,BRA,2004,71.3611\nBrazil,BRA,2005,71.8319\nBrazil,BRA,2006,72.2963\nBrazil,BRA,2007,72.7297\nBrazil,BRA,2008,73.1109\nBrazil,BRA,2009,73.4569\nBrazil,BRA,2010,73.779\nBrazil,BRA,2011,74.0473\nBrazil,BRA,2012,74.3346\nBrazil,BRA,2013,74.6093\nBrazil,BRA,2014,74.8225\nBrazil,BRA,2015,75.1064\nBrazil,BRA,2016,75.0805\nBrazil,BRA,2017,75.3835\nBrazil,BRA,2018,75.6335\nBrazil,BRA,2019,75.8093\nBrazil,BRA,2020,74.5058\nBrazil,BRA,2021,73.0377\nBrazil,BRA,2022,74.8719\nBrazil,BRA,2023,75.8482\n```\n\nAccording to this chart, what was life expectancy in Brazil in 1990?","response":"Reading the plotted point for 1990, life expectancy in Brazil was 65.86 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nBrazil,BRA,1990,65.8624\nBrazil,BRA,1991,66.203\nBrazil,BRA,1992,66.5393\nBrazil,BRA,1993,66.8923\nBrazil,BRA,1994,67.2934\nBrazil,BRA,1995,67.7006\nBrazil,BRA,1996,68.1084\nBrazil,BRA,1997,68.505\nBrazil,BRA,1998,68.8482\nBrazil,BRA,1999,69.2111\nBrazil,BRA,2000,69.5842\nBrazil,BRA,2001,69.98\nBrazil,BRA,2002,70.3958\nBrazil,BRA,2003,70.8841\nBrazil,BRA,2004,71.3611\nBrazil,BRA,2005,71.8319\nBrazil,BRA,2006,72.2963\nBrazil,BRA,2007,72.7297\nBrazil,BRA,2008,73.1109\nBrazil,BRA,2009,73.4569\nBrazil,BRA,2010,73.779\nBrazil,BRA,2011,74.0473\nBrazil,BRA,2012,74.3346\nBrazil,BRA,2013,74.6093\nBrazil,BRA,2014,74.8225\nBrazil,BRA,2015,75.1064\nBrazil,BRA,2016,75.0805\nBrazil,BRA,2017,75.3835\nBrazil,BRA,2018,75.6335\nBrazil,BRA,2019,75.8093\nBrazil,BRA,2020,74.5058\nBrazil,BRA,2021,73.0377\nBrazil,BRA,2022,74.8719\nBrazil,BRA,2023,75.8482\n```\n\nIn which year shown does life expectancy reach its highest value for Brazil?","response":"The series peaks in 2023, at 75.85 years. The lowest point shown is 1990, at 65.86 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nBrazil,BRA,1990,65.8624\nBrazil,BRA,1991,66.203\nBrazil,BRA,1992,66.5393\nBrazil,BRA,1993,66.8923\nBrazil,BRA,1994,67.2934\nBrazil,BRA,1995,67.7006\nBrazil,BRA,1996,68.1084\nBrazil,BRA,1997,68.505\nBrazil,BRA,1998,68.8482\nBrazil,BRA,1999,69.2111\nBrazil,BRA,2000,69.5842\nBrazil,BRA,2001,69.98\nBrazil,BRA,2002,70.3958\nBrazil,BRA,2003,70.8841\nBrazil,BRA,2004,71.3611\nBrazil,BRA,2005,71.8319\nBrazil,BRA,2006,72.2963\nBrazil,BRA,2007,72.7297\nBrazil,BRA,2008,73.1109\nBrazil,BRA,2009,73.4569\nBrazil,BRA,2010,73.779\nBrazil,BRA,2011,74.0473\nBrazil,BRA,2012,74.3346\nBrazil,BRA,2013,74.6093\nBrazil,BRA,2014,74.8225\nBrazil,BRA,2015,75.1064\nBrazil,BRA,2016,75.0805\nBrazil,BRA,2017,75.3835\nBrazil,BRA,2018,75.6335\nBrazil,BRA,2019,75.8093\nBrazil,BRA,2020,74.5058\nBrazil,BRA,2021,73.0377\nBrazil,BRA,2022,74.8719\nBrazil,BRA,2023,75.8482\n```\n\nHow much did life expectancy change for Brazil between 1990 and 2023?","response":"It moved from 65.86 years in 1990 to 75.85 years in 2023, a change of 9.99 years (+15.16%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nBrazil,BRA,1990,65.8624\nBrazil,BRA,1991,66.203\nBrazil,BRA,1992,66.5393\nBrazil,BRA,1993,66.8923\nBrazil,BRA,1994,67.2934\nBrazil,BRA,1995,67.7006\nBrazil,BRA,1996,68.1084\nBrazil,BRA,1997,68.505\nBrazil,BRA,1998,68.8482\nBrazil,BRA,1999,69.2111\nBrazil,BRA,2000,69.5842\nBrazil,BRA,2001,69.98\nBrazil,BRA,2002,70.3958\nBrazil,BRA,2003,70.8841\nBrazil,BRA,2004,71.3611\nBrazil,BRA,2005,71.8319\nBrazil,BRA,2006,72.2963\nBrazil,BRA,2007,72.7297\nBrazil,BRA,2008,73.1109\nBrazil,BRA,2009,73.4569\nBrazil,BRA,2010,73.779\nBrazil,BRA,2011,74.0473\nBrazil,BRA,2012,74.3346\nBrazil,BRA,2013,74.6093\nBrazil,BRA,2014,74.8225\nBrazil,BRA,2015,75.1064\nBrazil,BRA,2016,75.0805\nBrazil,BRA,2017,75.3835\nBrazil,BRA,2018,75.6335\nBrazil,BRA,2019,75.8093\nBrazil,BRA,2020,74.5058\nBrazil,BRA,2021,73.0377\nBrazil,BRA,2022,74.8719\nBrazil,BRA,2023,75.8482\n```\n\nWas life expectancy in Brazil higher in 1997 or 2007?","response":"Higher in 2007. The chart gives 68.5 years for 1997 and 72.73 years for 2007, a difference of 4.22 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nBrazil,BRA,1990,65.8624\nBrazil,BRA,1991,66.203\nBrazil,BRA,1992,66.5393\nBrazil,BRA,1993,66.8923\nBrazil,BRA,1994,67.2934\nBrazil,BRA,1995,67.7006\nBrazil,BRA,1996,68.1084\nBrazil,BRA,1997,68.505\nBrazil,BRA,1998,68.8482\nBrazil,BRA,1999,69.2111\nBrazil,BRA,2000,69.5842\nBrazil,BRA,2001,69.98\nBrazil,BRA,2002,70.3958\nBrazil,BRA,2003,70.8841\nBrazil,BRA,2004,71.3611\nBrazil,BRA,2005,71.8319\nBrazil,BRA,2006,72.2963\nBrazil,BRA,2007,72.7297\nBrazil,BRA,2008,73.1109\nBrazil,BRA,2009,73.4569\nBrazil,BRA,2010,73.779\nBrazil,BRA,2011,74.0473\nBrazil,BRA,2012,74.3346\nBrazil,BRA,2013,74.6093\nBrazil,BRA,2014,74.8225\nBrazil,BRA,2015,75.1064\nBrazil,BRA,2016,75.0805\nBrazil,BRA,2017,75.3835\nBrazil,BRA,2018,75.6335\nBrazil,BRA,2019,75.8093\nBrazil,BRA,2020,74.5058\nBrazil,BRA,2021,73.0377\nBrazil,BRA,2022,74.8719\nBrazil,BRA,2023,75.8482\n```\n\nAccording to this chart, what was life expectancy in Brazil in 1990?","response":"Reading the plotted point for 1990, life expectancy in Brazil was 65.86 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nBrazil,BRA,1990,65.8624\nBrazil,BRA,1991,66.203\nBrazil,BRA,1992,66.5393\nBrazil,BRA,1993,66.8923\nBrazil,BRA,1994,67.2934\nBrazil,BRA,1995,67.7006\nBrazil,BRA,1996,68.1084\nBrazil,BRA,1997,68.505\nBrazil,BRA,1998,68.8482\nBrazil,BRA,1999,69.2111\nBrazil,BRA,2000,69.5842\nBrazil,BRA,2001,69.98\nBrazil,BRA,2002,70.3958\nBrazil,BRA,2003,70.8841\nBrazil,BRA,2004,71.3611\nBrazil,BRA,2005,71.8319\nBrazil,BRA,2006,72.2963\nBrazil,BRA,2007,72.7297\nBrazil,BRA,2008,73.1109\nBrazil,BRA,2009,73.4569\nBrazil,BRA,2010,73.779\nBrazil,BRA,2011,74.0473\nBrazil,BRA,2012,74.3346\nBrazil,BRA,2013,74.6093\nBrazil,BRA,2014,74.8225\nBrazil,BRA,2015,75.1064\nBrazil,BRA,2016,75.0805\nBrazil,BRA,2017,75.3835\nBrazil,BRA,2018,75.6335\nBrazil,BRA,2019,75.8093\nBrazil,BRA,2020,74.5058\nBrazil,BRA,2021,73.0377\nBrazil,BRA,2022,74.8719\nBrazil,BRA,2023,75.8482\n```\n\nIn which year shown does life expectancy reach its highest value for Brazil?","response":"The series peaks in 2023, at 75.85 years. The lowest point shown is 1990, at 65.86 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nBrazil,BRA,1990,65.8624\nBrazil,BRA,1991,66.203\nBrazil,BRA,1992,66.5393\nBrazil,BRA,1993,66.8923\nBrazil,BRA,1994,67.2934\nBrazil,BRA,1995,67.7006\nBrazil,BRA,1996,68.1084\nBrazil,BRA,1997,68.505\nBrazil,BRA,1998,68.8482\nBrazil,BRA,1999,69.2111\nBrazil,BRA,2000,69.5842\nBrazil,BRA,2001,69.98\nBrazil,BRA,2002,70.3958\nBrazil,BRA,2003,70.8841\nBrazil,BRA,2004,71.3611\nBrazil,BRA,2005,71.8319\nBrazil,BRA,2006,72.2963\nBrazil,BRA,2007,72.7297\nBrazil,BRA,2008,73.1109\nBrazil,BRA,2009,73.4569\nBrazil,BRA,2010,73.779\nBrazil,BRA,2011,74.0473\nBrazil,BRA,2012,74.3346\nBrazil,BRA,2013,74.6093\nBrazil,BRA,2014,74.8225\nBrazil,BRA,2015,75.1064\nBrazil,BRA,2016,75.0805\nBrazil,BRA,2017,75.3835\nBrazil,BRA,2018,75.6335\nBrazil,BRA,2019,75.8093\nBrazil,BRA,2020,74.5058\nBrazil,BRA,2021,73.0377\nBrazil,BRA,2022,74.8719\nBrazil,BRA,2023,75.8482\n```\n\nHow much did life expectancy change for Brazil between 1990 and 2023?","response":"It moved from 65.86 years in 1990 to 75.85 years in 2023, a change of 9.99 years (+15.16%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nBrazil,BRA,1990,65.8624\nBrazil,BRA,1991,66.203\nBrazil,BRA,1992,66.5393\nBrazil,BRA,1993,66.8923\nBrazil,BRA,1994,67.2934\nBrazil,BRA,1995,67.7006\nBrazil,BRA,1996,68.1084\nBrazil,BRA,1997,68.505\nBrazil,BRA,1998,68.8482\nBrazil,BRA,1999,69.2111\nBrazil,BRA,2000,69.5842\nBrazil,BRA,2001,69.98\nBrazil,BRA,2002,70.3958\nBrazil,BRA,2003,70.8841\nBrazil,BRA,2004,71.3611\nBrazil,BRA,2005,71.8319\nBrazil,BRA,2006,72.2963\nBrazil,BRA,2007,72.7297\nBrazil,BRA,2008,73.1109\nBrazil,BRA,2009,73.4569\nBrazil,BRA,2010,73.779\nBrazil,BRA,2011,74.0473\nBrazil,BRA,2012,74.3346\nBrazil,BRA,2013,74.6093\nBrazil,BRA,2014,74.8225\nBrazil,BRA,2015,75.1064\nBrazil,BRA,2016,75.0805\nBrazil,BRA,2017,75.3835\nBrazil,BRA,2018,75.6335\nBrazil,BRA,2019,75.8093\nBrazil,BRA,2020,74.5058\nBrazil,BRA,2021,73.0377\nBrazil,BRA,2022,74.8719\nBrazil,BRA,2023,75.8482\n```\n\nWas life expectancy in Brazil higher in 1997 or 2007?","response":"Higher in 2007. The chart gives 68.5 years for 1997 and 72.73 years for 2007, a difference of 4.22 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nBrazil,BRA,1990,65.8624\nBrazil,BRA,1991,66.203\nBrazil,BRA,1992,66.5393\nBrazil,BRA,1993,66.8923\nBrazil,BRA,1994,67.2934\nBrazil,BRA,1995,67.7006\nBrazil,BRA,1996,68.1084\nBrazil,BRA,1997,68.505\nBrazil,BRA,1998,68.8482\nBrazil,BRA,1999,69.2111\nBrazil,BRA,2000,69.5842\nBrazil,BRA,2001,69.98\nBrazil,BRA,2002,70.3958\nBrazil,BRA,2003,70.8841\nBrazil,BRA,2004,71.3611\nBrazil,BRA,2005,71.8319\nBrazil,BRA,2006,72.2963\nBrazil,BRA,2007,72.7297\nBrazil,BRA,2008,73.1109\nBrazil,BRA,2009,73.4569\nBrazil,BRA,2010,73.779\nBrazil,BRA,2011,74.0473\nBrazil,BRA,2012,74.3346\nBrazil,BRA,2013,74.6093\nBrazil,BRA,2014,74.8225\nBrazil,BRA,2015,75.1064\nBrazil,BRA,2016,75.0805\nBrazil,BRA,2017,75.3835\nBrazil,BRA,2018,75.6335\nBrazil,BRA,2019,75.8093\nBrazil,BRA,2020,74.5058\nBrazil,BRA,2021,73.0377\nBrazil,BRA,2022,74.8719\nBrazil,BRA,2023,75.8482\n```\n\nBased on this chart, is life expectancy in Brazil rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 65.86 years to 75.85 years, a change of +15.16%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nBrazil,BRA,1990,65.8624\nBrazil,BRA,1991,66.203\nBrazil,BRA,1992,66.5393\nBrazil,BRA,1993,66.8923\nBrazil,BRA,1994,67.2934\nBrazil,BRA,1995,67.7006\nBrazil,BRA,1996,68.1084\nBrazil,BRA,1997,68.505\nBrazil,BRA,1998,68.8482\nBrazil,BRA,1999,69.2111\nBrazil,BRA,2000,69.5842\nBrazil,BRA,2001,69.98\nBrazil,BRA,2002,70.3958\nBrazil,BRA,2003,70.8841\nBrazil,BRA,2004,71.3611\nBrazil,BRA,2005,71.8319\nBrazil,BRA,2006,72.2963\nBrazil,BRA,2007,72.7297\nBrazil,BRA,2008,73.1109\nBrazil,BRA,2009,73.4569\nBrazil,BRA,2010,73.779\nBrazil,BRA,2011,74.0473\nBrazil,BRA,2012,74.3346\nBrazil,BRA,2013,74.6093\nBrazil,BRA,2014,74.8225\nBrazil,BRA,2015,75.1064\nBrazil,BRA,2016,75.0805\nBrazil,BRA,2017,75.3835\nBrazil,BRA,2018,75.6335\nBrazil,BRA,2019,75.8093\nBrazil,BRA,2020,74.5058\nBrazil,BRA,2021,73.0377\nBrazil,BRA,2022,74.8719\nBrazil,BRA,2023,75.8482\n```\n\nThis chart makes the change in life expectancy for Brazil look dramatic. Is it?","response":"The values change by +15.16%, from 65.86 years to 75.85 years. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nBrazil,BRA,2013,74.6093\nBrazil,BRA,2014,74.8225\nBrazil,BRA,2015,75.1064\nBrazil,BRA,2016,75.0805\nBrazil,BRA,2017,75.3835\nBrazil,BRA,2018,75.6335\nBrazil,BRA,2019,75.8093\nBrazil,BRA,2020,74.5058\nBrazil,BRA,2021,73.0377\n```\n\nWhat does this chart suggest about the long-run direction of life expectancy in Brazil?","response":"Within the window shown (2013-2021) the series moves -2.11%, but that window runs against the longer record. Across the full series (1990-2023) the change is +15.16%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nBrazil,BRA,1990,65.8624\nBrazil,BRA,1991,66.203\nBrazil,BRA,1992,66.5393\nBrazil,BRA,1993,66.8923\nBrazil,BRA,1994,67.2934\nBrazil,BRA,1995,67.7006\nBrazil,BRA,1996,68.1084\nBrazil,BRA,1997,68.505\nBrazil,BRA,1998,68.8482\nBrazil,BRA,1999,69.2111\nBrazil,BRA,2000,69.5842\nBrazil,BRA,2001,69.98\nBrazil,BRA,2002,70.3958\nBrazil,BRA,2003,70.8841\nBrazil,BRA,2004,71.3611\nBrazil,BRA,2005,71.8319\nBrazil,BRA,2006,72.2963\nBrazil,BRA,2007,72.7297\nBrazil,BRA,2008,73.1109\nBrazil,BRA,2009,73.4569\nBrazil,BRA,2010,73.779\nBrazil,BRA,2011,74.0473\nBrazil,BRA,2012,74.3346\nBrazil,BRA,2013,74.6093\nBrazil,BRA,2014,74.8225\nBrazil,BRA,2015,75.1064\nBrazil,BRA,2016,75.0805\nBrazil,BRA,2017,75.3835\nBrazil,BRA,2018,75.6335\nBrazil,BRA,2019,75.8093\nBrazil,BRA,2020,74.5058\nBrazil,BRA,2021,73.0377\nBrazil,BRA,2022,74.8719\nBrazil,BRA,2023,75.8482\n```\n\nHow does Brazil compare with Poland on this measure?","response":"This chart covers Brazil only, so Poland is not plotted and I cannot compare them from it. The chart does support statements about Brazil on its own: the series runs from 65.86 years in 1990 to 75.85 years in 2023.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Brazil__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nNigeria,NGA,1990,45.7327\nNigeria,NGA,1991,45.4832\nNigeria,NGA,1992,45.5874\nNigeria,NGA,1993,45.7826\nNigeria,NGA,1994,45.7476\nNigeria,NGA,1995,45.8701\nNigeria,NGA,1996,45.8328\nNigeria,NGA,1997,45.9598\nNigeria,NGA,1998,46.1479\nNigeria,NGA,1999,46.6088\nNigeria,NGA,2000,47.1427\nNigeria,NGA,2001,47.5493\nNigeria,NGA,2002,48.0201\nNigeria,NGA,2003,48.618\nNigeria,NGA,2004,49.1477\nNigeria,NGA,2005,49.5377\nNigeria,NGA,2006,49.876\nNigeria,NGA,2007,50.3812\nNigeria,NGA,2008,50.7483\nNigeria,NGA,2009,51.0801\nNigeria,NGA,2010,51.3145\nNigeria,NGA,2011,51.4902\nNigeria,NGA,2012,51.6876\nNigeria,NGA,2013,51.8271\nNigeria,NGA,2014,51.9401\nNigeria,NGA,2015,51.9394\nNigeria,NGA,2016,52.1894\nNigeria,NGA,2017,52.3971\nNigeria,NGA,2018,52.669\nNigeria,NGA,2019,53.0086\nNigeria,NGA,2020,53.0724\nNigeria,NGA,2021,53.455\nNigeria,NGA,2022,54.079\nNigeria,NGA,2023,54.4623\n```\n\nAccording to this chart, what was life expectancy in Nigeria in 2019?","response":"Reading the plotted point for 2019, life expectancy in Nigeria was 53.01 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nNigeria,NGA,1990,45.7327\nNigeria,NGA,1991,45.4832\nNigeria,NGA,1992,45.5874\nNigeria,NGA,1993,45.7826\nNigeria,NGA,1994,45.7476\nNigeria,NGA,1995,45.8701\nNigeria,NGA,1996,45.8328\nNigeria,NGA,1997,45.9598\nNigeria,NGA,1998,46.1479\nNigeria,NGA,1999,46.6088\nNigeria,NGA,2000,47.1427\nNigeria,NGA,2001,47.5493\nNigeria,NGA,2002,48.0201\nNigeria,NGA,2003,48.618\nNigeria,NGA,2004,49.1477\nNigeria,NGA,2005,49.5377\nNigeria,NGA,2006,49.876\nNigeria,NGA,2007,50.3812\nNigeria,NGA,2008,50.7483\nNigeria,NGA,2009,51.0801\nNigeria,NGA,2010,51.3145\nNigeria,NGA,2011,51.4902\nNigeria,NGA,2012,51.6876\nNigeria,NGA,2013,51.8271\nNigeria,NGA,2014,51.9401\nNigeria,NGA,2015,51.9394\nNigeria,NGA,2016,52.1894\nNigeria,NGA,2017,52.3971\nNigeria,NGA,2018,52.669\nNigeria,NGA,2019,53.0086\nNigeria,NGA,2020,53.0724\nNigeria,NGA,2021,53.455\nNigeria,NGA,2022,54.079\nNigeria,NGA,2023,54.4623\n```\n\nIn which year shown does life expectancy reach its highest value for Nigeria?","response":"The series peaks in 2023, at 54.46 years. The lowest point shown is 1991, at 45.48 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nNigeria,NGA,1990,45.7327\nNigeria,NGA,1991,45.4832\nNigeria,NGA,1992,45.5874\nNigeria,NGA,1993,45.7826\nNigeria,NGA,1994,45.7476\nNigeria,NGA,1995,45.8701\nNigeria,NGA,1996,45.8328\nNigeria,NGA,1997,45.9598\nNigeria,NGA,1998,46.1479\nNigeria,NGA,1999,46.6088\nNigeria,NGA,2000,47.1427\nNigeria,NGA,2001,47.5493\nNigeria,NGA,2002,48.0201\nNigeria,NGA,2003,48.618\nNigeria,NGA,2004,49.1477\nNigeria,NGA,2005,49.5377\nNigeria,NGA,2006,49.876\nNigeria,NGA,2007,50.3812\nNigeria,NGA,2008,50.7483\nNigeria,NGA,2009,51.0801\nNigeria,NGA,2010,51.3145\nNigeria,NGA,2011,51.4902\nNigeria,NGA,2012,51.6876\nNigeria,NGA,2013,51.8271\nNigeria,NGA,2014,51.9401\nNigeria,NGA,2015,51.9394\nNigeria,NGA,2016,52.1894\nNigeria,NGA,2017,52.3971\nNigeria,NGA,2018,52.669\nNigeria,NGA,2019,53.0086\nNigeria,NGA,2020,53.0724\nNigeria,NGA,2021,53.455\nNigeria,NGA,2022,54.079\nNigeria,NGA,2023,54.4623\n```\n\nHow much did life expectancy change for Nigeria between 1990 and 2023?","response":"It moved from 45.73 years in 1990 to 54.46 years in 2023, a change of 8.73 years (+19.09%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nNigeria,NGA,1990,45.7327\nNigeria,NGA,1991,45.4832\nNigeria,NGA,1992,45.5874\nNigeria,NGA,1993,45.7826\nNigeria,NGA,1994,45.7476\nNigeria,NGA,1995,45.8701\nNigeria,NGA,1996,45.8328\nNigeria,NGA,1997,45.9598\nNigeria,NGA,1998,46.1479\nNigeria,NGA,1999,46.6088\nNigeria,NGA,2000,47.1427\nNigeria,NGA,2001,47.5493\nNigeria,NGA,2002,48.0201\nNigeria,NGA,2003,48.618\nNigeria,NGA,2004,49.1477\nNigeria,NGA,2005,49.5377\nNigeria,NGA,2006,49.876\nNigeria,NGA,2007,50.3812\nNigeria,NGA,2008,50.7483\nNigeria,NGA,2009,51.0801\nNigeria,NGA,2010,51.3145\nNigeria,NGA,2011,51.4902\nNigeria,NGA,2012,51.6876\nNigeria,NGA,2013,51.8271\nNigeria,NGA,2014,51.9401\nNigeria,NGA,2015,51.9394\nNigeria,NGA,2016,52.1894\nNigeria,NGA,2017,52.3971\nNigeria,NGA,2018,52.669\nNigeria,NGA,2019,53.0086\nNigeria,NGA,2020,53.0724\nNigeria,NGA,2021,53.455\nNigeria,NGA,2022,54.079\nNigeria,NGA,2023,54.4623\n```\n\nWas life expectancy in Nigeria higher in 2002 or 2014?","response":"Higher in 2014. The chart gives 48.02 years for 2002 and 51.94 years for 2014, a difference of 3.92 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nNigeria,NGA,1990,45.7327\nNigeria,NGA,1991,45.4832\nNigeria,NGA,1992,45.5874\nNigeria,NGA,1993,45.7826\nNigeria,NGA,1994,45.7476\nNigeria,NGA,1995,45.8701\nNigeria,NGA,1996,45.8328\nNigeria,NGA,1997,45.9598\nNigeria,NGA,1998,46.1479\nNigeria,NGA,1999,46.6088\nNigeria,NGA,2000,47.1427\nNigeria,NGA,2001,47.5493\nNigeria,NGA,2002,48.0201\nNigeria,NGA,2003,48.618\nNigeria,NGA,2004,49.1477\nNigeria,NGA,2005,49.5377\nNigeria,NGA,2006,49.876\nNigeria,NGA,2007,50.3812\nNigeria,NGA,2008,50.7483\nNigeria,NGA,2009,51.0801\nNigeria,NGA,2010,51.3145\nNigeria,NGA,2011,51.4902\nNigeria,NGA,2012,51.6876\nNigeria,NGA,2013,51.8271\nNigeria,NGA,2014,51.9401\nNigeria,NGA,2015,51.9394\nNigeria,NGA,2016,52.1894\nNigeria,NGA,2017,52.3971\nNigeria,NGA,2018,52.669\nNigeria,NGA,2019,53.0086\nNigeria,NGA,2020,53.0724\nNigeria,NGA,2021,53.455\nNigeria,NGA,2022,54.079\nNigeria,NGA,2023,54.4623\n```\n\nAccording to this chart, what was life expectancy in Nigeria in 2019?","response":"Reading the plotted point for 2019, life expectancy in Nigeria was 53.01 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nNigeria,NGA,1990,45.7327\nNigeria,NGA,1991,45.4832\nNigeria,NGA,1992,45.5874\nNigeria,NGA,1993,45.7826\nNigeria,NGA,1994,45.7476\nNigeria,NGA,1995,45.8701\nNigeria,NGA,1996,45.8328\nNigeria,NGA,1997,45.9598\nNigeria,NGA,1998,46.1479\nNigeria,NGA,1999,46.6088\nNigeria,NGA,2000,47.1427\nNigeria,NGA,2001,47.5493\nNigeria,NGA,2002,48.0201\nNigeria,NGA,2003,48.618\nNigeria,NGA,2004,49.1477\nNigeria,NGA,2005,49.5377\nNigeria,NGA,2006,49.876\nNigeria,NGA,2007,50.3812\nNigeria,NGA,2008,50.7483\nNigeria,NGA,2009,51.0801\nNigeria,NGA,2010,51.3145\nNigeria,NGA,2011,51.4902\nNigeria,NGA,2012,51.6876\nNigeria,NGA,2013,51.8271\nNigeria,NGA,2014,51.9401\nNigeria,NGA,2015,51.9394\nNigeria,NGA,2016,52.1894\nNigeria,NGA,2017,52.3971\nNigeria,NGA,2018,52.669\nNigeria,NGA,2019,53.0086\nNigeria,NGA,2020,53.0724\nNigeria,NGA,2021,53.455\nNigeria,NGA,2022,54.079\nNigeria,NGA,2023,54.4623\n```\n\nIn which year shown does life expectancy reach its highest value for Nigeria?","response":"The series peaks in 2023, at 54.46 years. The lowest point shown is 1991, at 45.48 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nNigeria,NGA,1990,45.7327\nNigeria,NGA,1991,45.4832\nNigeria,NGA,1992,45.5874\nNigeria,NGA,1993,45.7826\nNigeria,NGA,1994,45.7476\nNigeria,NGA,1995,45.8701\nNigeria,NGA,1996,45.8328\nNigeria,NGA,1997,45.9598\nNigeria,NGA,1998,46.1479\nNigeria,NGA,1999,46.6088\nNigeria,NGA,2000,47.1427\nNigeria,NGA,2001,47.5493\nNigeria,NGA,2002,48.0201\nNigeria,NGA,2003,48.618\nNigeria,NGA,2004,49.1477\nNigeria,NGA,2005,49.5377\nNigeria,NGA,2006,49.876\nNigeria,NGA,2007,50.3812\nNigeria,NGA,2008,50.7483\nNigeria,NGA,2009,51.0801\nNigeria,NGA,2010,51.3145\nNigeria,NGA,2011,51.4902\nNigeria,NGA,2012,51.6876\nNigeria,NGA,2013,51.8271\nNigeria,NGA,2014,51.9401\nNigeria,NGA,2015,51.9394\nNigeria,NGA,2016,52.1894\nNigeria,NGA,2017,52.3971\nNigeria,NGA,2018,52.669\nNigeria,NGA,2019,53.0086\nNigeria,NGA,2020,53.0724\nNigeria,NGA,2021,53.455\nNigeria,NGA,2022,54.079\nNigeria,NGA,2023,54.4623\n```\n\nHow much did life expectancy change for Nigeria between 1990 and 2023?","response":"It moved from 45.73 years in 1990 to 54.46 years in 2023, a change of 8.73 years (+19.09%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nNigeria,NGA,1990,45.7327\nNigeria,NGA,1991,45.4832\nNigeria,NGA,1992,45.5874\nNigeria,NGA,1993,45.7826\nNigeria,NGA,1994,45.7476\nNigeria,NGA,1995,45.8701\nNigeria,NGA,1996,45.8328\nNigeria,NGA,1997,45.9598\nNigeria,NGA,1998,46.1479\nNigeria,NGA,1999,46.6088\nNigeria,NGA,2000,47.1427\nNigeria,NGA,2001,47.5493\nNigeria,NGA,2002,48.0201\nNigeria,NGA,2003,48.618\nNigeria,NGA,2004,49.1477\nNigeria,NGA,2005,49.5377\nNigeria,NGA,2006,49.876\nNigeria,NGA,2007,50.3812\nNigeria,NGA,2008,50.7483\nNigeria,NGA,2009,51.0801\nNigeria,NGA,2010,51.3145\nNigeria,NGA,2011,51.4902\nNigeria,NGA,2012,51.6876\nNigeria,NGA,2013,51.8271\nNigeria,NGA,2014,51.9401\nNigeria,NGA,2015,51.9394\nNigeria,NGA,2016,52.1894\nNigeria,NGA,2017,52.3971\nNigeria,NGA,2018,52.669\nNigeria,NGA,2019,53.0086\nNigeria,NGA,2020,53.0724\nNigeria,NGA,2021,53.455\nNigeria,NGA,2022,54.079\nNigeria,NGA,2023,54.4623\n```\n\nWas life expectancy in Nigeria higher in 2002 or 2014?","response":"Higher in 2014. The chart gives 48.02 years for 2002 and 51.94 years for 2014, a difference of 3.92 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nNigeria,NGA,1990,45.7327\nNigeria,NGA,1991,45.4832\nNigeria,NGA,1992,45.5874\nNigeria,NGA,1993,45.7826\nNigeria,NGA,1994,45.7476\nNigeria,NGA,1995,45.8701\nNigeria,NGA,1996,45.8328\nNigeria,NGA,1997,45.9598\nNigeria,NGA,1998,46.1479\nNigeria,NGA,1999,46.6088\nNigeria,NGA,2000,47.1427\nNigeria,NGA,2001,47.5493\nNigeria,NGA,2002,48.0201\nNigeria,NGA,2003,48.618\nNigeria,NGA,2004,49.1477\nNigeria,NGA,2005,49.5377\nNigeria,NGA,2006,49.876\nNigeria,NGA,2007,50.3812\nNigeria,NGA,2008,50.7483\nNigeria,NGA,2009,51.0801\nNigeria,NGA,2010,51.3145\nNigeria,NGA,2011,51.4902\nNigeria,NGA,2012,51.6876\nNigeria,NGA,2013,51.8271\nNigeria,NGA,2014,51.9401\nNigeria,NGA,2015,51.9394\nNigeria,NGA,2016,52.1894\nNigeria,NGA,2017,52.3971\nNigeria,NGA,2018,52.669\nNigeria,NGA,2019,53.0086\nNigeria,NGA,2020,53.0724\nNigeria,NGA,2021,53.455\nNigeria,NGA,2022,54.079\nNigeria,NGA,2023,54.4623\n```\n\nBased on this chart, is life expectancy in Nigeria rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 45.73 years to 54.46 years, a change of +19.09%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nNigeria,NGA,1990,45.7327\nNigeria,NGA,1991,45.4832\nNigeria,NGA,1992,45.5874\nNigeria,NGA,1993,45.7826\nNigeria,NGA,1994,45.7476\nNigeria,NGA,1995,45.8701\nNigeria,NGA,1996,45.8328\nNigeria,NGA,1997,45.9598\nNigeria,NGA,1998,46.1479\nNigeria,NGA,1999,46.6088\nNigeria,NGA,2000,47.1427\nNigeria,NGA,2001,47.5493\nNigeria,NGA,2002,48.0201\nNigeria,NGA,2003,48.618\nNigeria,NGA,2004,49.1477\nNigeria,NGA,2005,49.5377\nNigeria,NGA,2006,49.876\nNigeria,NGA,2007,50.3812\nNigeria,NGA,2008,50.7483\nNigeria,NGA,2009,51.0801\nNigeria,NGA,2010,51.3145\nNigeria,NGA,2011,51.4902\nNigeria,NGA,2012,51.6876\nNigeria,NGA,2013,51.8271\nNigeria,NGA,2014,51.9401\nNigeria,NGA,2015,51.9394\nNigeria,NGA,2016,52.1894\nNigeria,NGA,2017,52.3971\nNigeria,NGA,2018,52.669\nNigeria,NGA,2019,53.0086\nNigeria,NGA,2020,53.0724\nNigeria,NGA,2021,53.455\nNigeria,NGA,2022,54.079\nNigeria,NGA,2023,54.4623\n```\n\nThis chart makes the change in life expectancy for Nigeria look dramatic. Is it?","response":"The values change by +19.09%, from 45.73 years to 54.46 years. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nNigeria,NGA,1990,45.7327\nNigeria,NGA,1991,45.4832\nNigeria,NGA,1992,45.5874\nNigeria,NGA,1993,45.7826\nNigeria,NGA,1994,45.7476\nNigeria,NGA,1995,45.8701\nNigeria,NGA,1996,45.8328\nNigeria,NGA,1997,45.9598\nNigeria,NGA,1998,46.1479\nNigeria,NGA,1999,46.6088\nNigeria,NGA,2000,47.1427\nNigeria,NGA,2001,47.5493\nNigeria,NGA,2002,48.0201\nNigeria,NGA,2003,48.618\nNigeria,NGA,2004,49.1477\nNigeria,NGA,2005,49.5377\nNigeria,NGA,2006,49.876\nNigeria,NGA,2007,50.3812\nNigeria,NGA,2008,50.7483\nNigeria,NGA,2009,51.0801\nNigeria,NGA,2010,51.3145\nNigeria,NGA,2011,51.4902\nNigeria,NGA,2012,51.6876\nNigeria,NGA,2013,51.8271\nNigeria,NGA,2014,51.9401\nNigeria,NGA,2015,51.9394\nNigeria,NGA,2016,52.1894\nNigeria,NGA,2017,52.3971\nNigeria,NGA,2018,52.669\nNigeria,NGA,2019,53.0086\nNigeria,NGA,2020,53.0724\nNigeria,NGA,2021,53.455\nNigeria,NGA,2022,54.079\nNigeria,NGA,2023,54.4623\n```\n\nWhat was life expectancy for Nigeria in 1975?","response":"That year is outside this chart. The series runs 1990 to 2023, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 45.73 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Nigeria__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nJapan,JPN,1990,78.9928\nJapan,JPN,1991,79.262\nJapan,JPN,1992,79.303\nJapan,JPN,1993,79.4461\nJapan,JPN,1994,79.8366\nJapan,JPN,1995,79.6837\nJapan,JPN,1996,80.3627\nJapan,JPN,1997,80.5836\nJapan,JPN,1998,80.6487\nJapan,JPN,1999,80.6129\nJapan,JPN,2000,81.1788\nJapan,JPN,2001,81.5101\nJapan,JPN,2002,81.7952\nJapan,JPN,2003,81.854\nJapan,JPN,2004,82.1275\nJapan,JPN,2005,82.0073\nJapan,JPN,2006,82.3699\nJapan,JPN,2007,82.5488\nJapan,JPN,2008,82.6332\nJapan,JPN,2009,82.9699\nJapan,JPN,2010,82.916\nJapan,JPN,2011,82.6705\nJapan,JPN,2012,83.1676\nJapan,JPN,2013,83.4018\nJapan,JPN,2014,83.6434\nJapan,JPN,2015,83.8832\nJapan,JPN,2016,84.0568\nJapan,JPN,2017,84.1891\nJapan,JPN,2018,84.289\nJapan,JPN,2019,84.4177\nJapan,JPN,2020,84.6703\nJapan,JPN,2021,84.55\nJapan,JPN,2022,84.0541\nJapan,JPN,2023,84.7123\n```\n\nAccording to this chart, what was life expectancy in Japan in 1990?","response":"Reading the plotted point for 1990, life expectancy in Japan was 78.99 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nJapan,JPN,1990,78.9928\nJapan,JPN,1991,79.262\nJapan,JPN,1992,79.303\nJapan,JPN,1993,79.4461\nJapan,JPN,1994,79.8366\nJapan,JPN,1995,79.6837\nJapan,JPN,1996,80.3627\nJapan,JPN,1997,80.5836\nJapan,JPN,1998,80.6487\nJapan,JPN,1999,80.6129\nJapan,JPN,2000,81.1788\nJapan,JPN,2001,81.5101\nJapan,JPN,2002,81.7952\nJapan,JPN,2003,81.854\nJapan,JPN,2004,82.1275\nJapan,JPN,2005,82.0073\nJapan,JPN,2006,82.3699\nJapan,JPN,2007,82.5488\nJapan,JPN,2008,82.6332\nJapan,JPN,2009,82.9699\nJapan,JPN,2010,82.916\nJapan,JPN,2011,82.6705\nJapan,JPN,2012,83.1676\nJapan,JPN,2013,83.4018\nJapan,JPN,2014,83.6434\nJapan,JPN,2015,83.8832\nJapan,JPN,2016,84.0568\nJapan,JPN,2017,84.1891\nJapan,JPN,2018,84.289\nJapan,JPN,2019,84.4177\nJapan,JPN,2020,84.6703\nJapan,JPN,2021,84.55\nJapan,JPN,2022,84.0541\nJapan,JPN,2023,84.7123\n```\n\nIn which year shown does life expectancy reach its highest value for Japan?","response":"The series peaks in 2023, at 84.71 years. The lowest point shown is 1990, at 78.99 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nJapan,JPN,1990,78.9928\nJapan,JPN,1991,79.262\nJapan,JPN,1992,79.303\nJapan,JPN,1993,79.4461\nJapan,JPN,1994,79.8366\nJapan,JPN,1995,79.6837\nJapan,JPN,1996,80.3627\nJapan,JPN,1997,80.5836\nJapan,JPN,1998,80.6487\nJapan,JPN,1999,80.6129\nJapan,JPN,2000,81.1788\nJapan,JPN,2001,81.5101\nJapan,JPN,2002,81.7952\nJapan,JPN,2003,81.854\nJapan,JPN,2004,82.1275\nJapan,JPN,2005,82.0073\nJapan,JPN,2006,82.3699\nJapan,JPN,2007,82.5488\nJapan,JPN,2008,82.6332\nJapan,JPN,2009,82.9699\nJapan,JPN,2010,82.916\nJapan,JPN,2011,82.6705\nJapan,JPN,2012,83.1676\nJapan,JPN,2013,83.4018\nJapan,JPN,2014,83.6434\nJapan,JPN,2015,83.8832\nJapan,JPN,2016,84.0568\nJapan,JPN,2017,84.1891\nJapan,JPN,2018,84.289\nJapan,JPN,2019,84.4177\nJapan,JPN,2020,84.6703\nJapan,JPN,2021,84.55\nJapan,JPN,2022,84.0541\nJapan,JPN,2023,84.7123\n```\n\nHow much did life expectancy change for Japan between 1990 and 2023?","response":"It moved from 78.99 years in 1990 to 84.71 years in 2023, a change of 5.72 years (+7.24%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nJapan,JPN,1990,78.9928\nJapan,JPN,1991,79.262\nJapan,JPN,1992,79.303\nJapan,JPN,1993,79.4461\nJapan,JPN,1994,79.8366\nJapan,JPN,1995,79.6837\nJapan,JPN,1996,80.3627\nJapan,JPN,1997,80.5836\nJapan,JPN,1998,80.6487\nJapan,JPN,1999,80.6129\nJapan,JPN,2000,81.1788\nJapan,JPN,2001,81.5101\nJapan,JPN,2002,81.7952\nJapan,JPN,2003,81.854\nJapan,JPN,2004,82.1275\nJapan,JPN,2005,82.0073\nJapan,JPN,2006,82.3699\nJapan,JPN,2007,82.5488\nJapan,JPN,2008,82.6332\nJapan,JPN,2009,82.9699\nJapan,JPN,2010,82.916\nJapan,JPN,2011,82.6705\nJapan,JPN,2012,83.1676\nJapan,JPN,2013,83.4018\nJapan,JPN,2014,83.6434\nJapan,JPN,2015,83.8832\nJapan,JPN,2016,84.0568\nJapan,JPN,2017,84.1891\nJapan,JPN,2018,84.289\nJapan,JPN,2019,84.4177\nJapan,JPN,2020,84.6703\nJapan,JPN,2021,84.55\nJapan,JPN,2022,84.0541\nJapan,JPN,2023,84.7123\n```\n\nWas life expectancy in Japan higher in 2003 or 2017?","response":"Higher in 2017. The chart gives 81.85 years for 2003 and 84.19 years for 2017, a difference of 2.34 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nJapan,JPN,1990,78.9928\nJapan,JPN,1991,79.262\nJapan,JPN,1992,79.303\nJapan,JPN,1993,79.4461\nJapan,JPN,1994,79.8366\nJapan,JPN,1995,79.6837\nJapan,JPN,1996,80.3627\nJapan,JPN,1997,80.5836\nJapan,JPN,1998,80.6487\nJapan,JPN,1999,80.6129\nJapan,JPN,2000,81.1788\nJapan,JPN,2001,81.5101\nJapan,JPN,2002,81.7952\nJapan,JPN,2003,81.854\nJapan,JPN,2004,82.1275\nJapan,JPN,2005,82.0073\nJapan,JPN,2006,82.3699\nJapan,JPN,2007,82.5488\nJapan,JPN,2008,82.6332\nJapan,JPN,2009,82.9699\nJapan,JPN,2010,82.916\nJapan,JPN,2011,82.6705\nJapan,JPN,2012,83.1676\nJapan,JPN,2013,83.4018\nJapan,JPN,2014,83.6434\nJapan,JPN,2015,83.8832\nJapan,JPN,2016,84.0568\nJapan,JPN,2017,84.1891\nJapan,JPN,2018,84.289\nJapan,JPN,2019,84.4177\nJapan,JPN,2020,84.6703\nJapan,JPN,2021,84.55\nJapan,JPN,2022,84.0541\nJapan,JPN,2023,84.7123\n```\n\nAccording to this chart, what was life expectancy in Japan in 1990?","response":"Reading the plotted point for 1990, life expectancy in Japan was 78.99 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nJapan,JPN,1990,78.9928\nJapan,JPN,1991,79.262\nJapan,JPN,1992,79.303\nJapan,JPN,1993,79.4461\nJapan,JPN,1994,79.8366\nJapan,JPN,1995,79.6837\nJapan,JPN,1996,80.3627\nJapan,JPN,1997,80.5836\nJapan,JPN,1998,80.6487\nJapan,JPN,1999,80.6129\nJapan,JPN,2000,81.1788\nJapan,JPN,2001,81.5101\nJapan,JPN,2002,81.7952\nJapan,JPN,2003,81.854\nJapan,JPN,2004,82.1275\nJapan,JPN,2005,82.0073\nJapan,JPN,2006,82.3699\nJapan,JPN,2007,82.5488\nJapan,JPN,2008,82.6332\nJapan,JPN,2009,82.9699\nJapan,JPN,2010,82.916\nJapan,JPN,2011,82.6705\nJapan,JPN,2012,83.1676\nJapan,JPN,2013,83.4018\nJapan,JPN,2014,83.6434\nJapan,JPN,2015,83.8832\nJapan,JPN,2016,84.0568\nJapan,JPN,2017,84.1891\nJapan,JPN,2018,84.289\nJapan,JPN,2019,84.4177\nJapan,JPN,2020,84.6703\nJapan,JPN,2021,84.55\nJapan,JPN,2022,84.0541\nJapan,JPN,2023,84.7123\n```\n\nIn which year shown does life expectancy reach its highest value for Japan?","response":"The series peaks in 2023, at 84.71 years. The lowest point shown is 1990, at 78.99 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nJapan,JPN,1990,78.9928\nJapan,JPN,1991,79.262\nJapan,JPN,1992,79.303\nJapan,JPN,1993,79.4461\nJapan,JPN,1994,79.8366\nJapan,JPN,1995,79.6837\nJapan,JPN,1996,80.3627\nJapan,JPN,1997,80.5836\nJapan,JPN,1998,80.6487\nJapan,JPN,1999,80.6129\nJapan,JPN,2000,81.1788\nJapan,JPN,2001,81.5101\nJapan,JPN,2002,81.7952\nJapan,JPN,2003,81.854\nJapan,JPN,2004,82.1275\nJapan,JPN,2005,82.0073\nJapan,JPN,2006,82.3699\nJapan,JPN,2007,82.5488\nJapan,JPN,2008,82.6332\nJapan,JPN,2009,82.9699\nJapan,JPN,2010,82.916\nJapan,JPN,2011,82.6705\nJapan,JPN,2012,83.1676\nJapan,JPN,2013,83.4018\nJapan,JPN,2014,83.6434\nJapan,JPN,2015,83.8832\nJapan,JPN,2016,84.0568\nJapan,JPN,2017,84.1891\nJapan,JPN,2018,84.289\nJapan,JPN,2019,84.4177\nJapan,JPN,2020,84.6703\nJapan,JPN,2021,84.55\nJapan,JPN,2022,84.0541\nJapan,JPN,2023,84.7123\n```\n\nHow much did life expectancy change for Japan between 1990 and 2023?","response":"It moved from 78.99 years in 1990 to 84.71 years in 2023, a change of 5.72 years (+7.24%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nJapan,JPN,1990,78.9928\nJapan,JPN,1991,79.262\nJapan,JPN,1992,79.303\nJapan,JPN,1993,79.4461\nJapan,JPN,1994,79.8366\nJapan,JPN,1995,79.6837\nJapan,JPN,1996,80.3627\nJapan,JPN,1997,80.5836\nJapan,JPN,1998,80.6487\nJapan,JPN,1999,80.6129\nJapan,JPN,2000,81.1788\nJapan,JPN,2001,81.5101\nJapan,JPN,2002,81.7952\nJapan,JPN,2003,81.854\nJapan,JPN,2004,82.1275\nJapan,JPN,2005,82.0073\nJapan,JPN,2006,82.3699\nJapan,JPN,2007,82.5488\nJapan,JPN,2008,82.6332\nJapan,JPN,2009,82.9699\nJapan,JPN,2010,82.916\nJapan,JPN,2011,82.6705\nJapan,JPN,2012,83.1676\nJapan,JPN,2013,83.4018\nJapan,JPN,2014,83.6434\nJapan,JPN,2015,83.8832\nJapan,JPN,2016,84.0568\nJapan,JPN,2017,84.1891\nJapan,JPN,2018,84.289\nJapan,JPN,2019,84.4177\nJapan,JPN,2020,84.6703\nJapan,JPN,2021,84.55\nJapan,JPN,2022,84.0541\nJapan,JPN,2023,84.7123\n```\n\nWas life expectancy in Japan higher in 2003 or 2017?","response":"Higher in 2017. The chart gives 81.85 years for 2003 and 84.19 years for 2017, a difference of 2.34 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nJapan,JPN,1990,78.9928\nJapan,JPN,1991,79.262\nJapan,JPN,1992,79.303\nJapan,JPN,1993,79.4461\nJapan,JPN,1994,79.8366\nJapan,JPN,1995,79.6837\nJapan,JPN,1996,80.3627\nJapan,JPN,1997,80.5836\nJapan,JPN,1998,80.6487\nJapan,JPN,1999,80.6129\nJapan,JPN,2000,81.1788\nJapan,JPN,2001,81.5101\nJapan,JPN,2002,81.7952\nJapan,JPN,2003,81.854\nJapan,JPN,2004,82.1275\nJapan,JPN,2005,82.0073\nJapan,JPN,2006,82.3699\nJapan,JPN,2007,82.5488\nJapan,JPN,2008,82.6332\nJapan,JPN,2009,82.9699\nJapan,JPN,2010,82.916\nJapan,JPN,2011,82.6705\nJapan,JPN,2012,83.1676\nJapan,JPN,2013,83.4018\nJapan,JPN,2014,83.6434\nJapan,JPN,2015,83.8832\nJapan,JPN,2016,84.0568\nJapan,JPN,2017,84.1891\nJapan,JPN,2018,84.289\nJapan,JPN,2019,84.4177\nJapan,JPN,2020,84.6703\nJapan,JPN,2021,84.55\nJapan,JPN,2022,84.0541\nJapan,JPN,2023,84.7123\n```\n\nBased on this chart, is life expectancy in Japan rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 78.99 years to 84.71 years, a change of +7.24%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nJapan,JPN,1990,78.9928\nJapan,JPN,1991,79.262\nJapan,JPN,1992,79.303\nJapan,JPN,1993,79.4461\nJapan,JPN,1994,79.8366\nJapan,JPN,1995,79.6837\nJapan,JPN,1996,80.3627\nJapan,JPN,1997,80.5836\nJapan,JPN,1998,80.6487\nJapan,JPN,1999,80.6129\nJapan,JPN,2000,81.1788\nJapan,JPN,2001,81.5101\nJapan,JPN,2002,81.7952\nJapan,JPN,2003,81.854\nJapan,JPN,2004,82.1275\nJapan,JPN,2005,82.0073\nJapan,JPN,2006,82.3699\nJapan,JPN,2007,82.5488\nJapan,JPN,2008,82.6332\nJapan,JPN,2009,82.9699\nJapan,JPN,2010,82.916\nJapan,JPN,2011,82.6705\nJapan,JPN,2012,83.1676\nJapan,JPN,2013,83.4018\nJapan,JPN,2014,83.6434\nJapan,JPN,2015,83.8832\nJapan,JPN,2016,84.0568\nJapan,JPN,2017,84.1891\nJapan,JPN,2018,84.289\nJapan,JPN,2019,84.4177\nJapan,JPN,2020,84.6703\nJapan,JPN,2021,84.55\nJapan,JPN,2022,84.0541\nJapan,JPN,2023,84.7123\n```\n\nThis chart makes the change in life expectancy for Japan look dramatic. Is it?","response":"The values change by +7.24%, from 78.99 years to 84.71 years. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nJapan,JPN,1990,78.9928\nJapan,JPN,1991,79.262\nJapan,JPN,1992,79.303\nJapan,JPN,1993,79.4461\nJapan,JPN,1994,79.8366\nJapan,JPN,1995,79.6837\nJapan,JPN,1996,80.3627\nJapan,JPN,1997,80.5836\nJapan,JPN,1998,80.6487\nJapan,JPN,1999,80.6129\nJapan,JPN,2000,81.1788\nJapan,JPN,2001,81.5101\nJapan,JPN,2002,81.7952\nJapan,JPN,2003,81.854\nJapan,JPN,2004,82.1275\nJapan,JPN,2005,82.0073\nJapan,JPN,2006,82.3699\nJapan,JPN,2007,82.5488\nJapan,JPN,2008,82.6332\nJapan,JPN,2009,82.9699\nJapan,JPN,2010,82.916\nJapan,JPN,2011,82.6705\nJapan,JPN,2012,83.1676\nJapan,JPN,2013,83.4018\nJapan,JPN,2014,83.6434\nJapan,JPN,2015,83.8832\nJapan,JPN,2016,84.0568\nJapan,JPN,2017,84.1891\nJapan,JPN,2018,84.289\nJapan,JPN,2019,84.4177\nJapan,JPN,2020,84.6703\nJapan,JPN,2021,84.55\nJapan,JPN,2022,84.0541\nJapan,JPN,2023,84.7123\n```\n\nWhat caused the change in life expectancy for Japan around 1996?","response":"The chart shows that the change happened: life expectancy moves to 80.36 years in 1996. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Japan__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nGermany,DEU,1990,75.3414\nGermany,DEU,1991,75.5597\nGermany,DEU,1992,76.0035\nGermany,DEU,1993,76.0803\nGermany,DEU,1994,76.3799\nGermany,DEU,1995,76.5515\nGermany,DEU,1996,76.7833\nGermany,DEU,1997,77.2182\nGermany,DEU,1998,77.5759\nGermany,DEU,1999,77.7977\nGermany,DEU,2000,78.0563\nGermany,DEU,2001,78.4023\nGermany,DEU,2002,78.4749\nGermany,DEU,2003,78.5361\nGermany,DEU,2004,79.1186\nGermany,DEU,2005,79.254\nGermany,DEU,2006,79.5862\nGermany,DEU,2007,79.7306\nGermany,DEU,2008,79.8161\nGermany,DEU,2009,79.9151\nGermany,DEU,2010,80.0814\nGermany,DEU,2011,80.3549\nGermany,DEU,2012,80.5017\nGermany,DEU,2013,80.454\nGermany,DEU,2014,80.9056\nGermany,DEU,2015,80.5658\nGermany,DEU,2016,80.8371\nGermany,DEU,2017,80.9371\nGermany,DEU,2018,80.8747\nGermany,DEU,2019,81.1893\nGermany,DEU,2020,81.0036\nGermany,DEU,2021,81.1059\nGermany,DEU,2022,80.5796\nGermany,DEU,2023,81.3777\n```\n\nAccording to this chart, what was life expectancy in Germany in 2021?","response":"Reading the plotted point for 2021, life expectancy in Germany was 81.11 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nGermany,DEU,1990,75.3414\nGermany,DEU,1991,75.5597\nGermany,DEU,1992,76.0035\nGermany,DEU,1993,76.0803\nGermany,DEU,1994,76.3799\nGermany,DEU,1995,76.5515\nGermany,DEU,1996,76.7833\nGermany,DEU,1997,77.2182\nGermany,DEU,1998,77.5759\nGermany,DEU,1999,77.7977\nGermany,DEU,2000,78.0563\nGermany,DEU,2001,78.4023\nGermany,DEU,2002,78.4749\nGermany,DEU,2003,78.5361\nGermany,DEU,2004,79.1186\nGermany,DEU,2005,79.254\nGermany,DEU,2006,79.5862\nGermany,DEU,2007,79.7306\nGermany,DEU,2008,79.8161\nGermany,DEU,2009,79.9151\nGermany,DEU,2010,80.0814\nGermany,DEU,2011,80.3549\nGermany,DEU,2012,80.5017\nGermany,DEU,2013,80.454\nGermany,DEU,2014,80.9056\nGermany,DEU,2015,80.5658\nGermany,DEU,2016,80.8371\nGermany,DEU,2017,80.9371\nGermany,DEU,2018,80.8747\nGermany,DEU,2019,81.1893\nGermany,DEU,2020,81.0036\nGermany,DEU,2021,81.1059\nGermany,DEU,2022,80.5796\nGermany,DEU,2023,81.3777\n```\n\nIn which year shown does life expectancy reach its highest value for Germany?","response":"The series peaks in 2023, at 81.38 years. The lowest point shown is 1990, at 75.34 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nGermany,DEU,1990,75.3414\nGermany,DEU,1991,75.5597\nGermany,DEU,1992,76.0035\nGermany,DEU,1993,76.0803\nGermany,DEU,1994,76.3799\nGermany,DEU,1995,76.5515\nGermany,DEU,1996,76.7833\nGermany,DEU,1997,77.2182\nGermany,DEU,1998,77.5759\nGermany,DEU,1999,77.7977\nGermany,DEU,2000,78.0563\nGermany,DEU,2001,78.4023\nGermany,DEU,2002,78.4749\nGermany,DEU,2003,78.5361\nGermany,DEU,2004,79.1186\nGermany,DEU,2005,79.254\nGermany,DEU,2006,79.5862\nGermany,DEU,2007,79.7306\nGermany,DEU,2008,79.8161\nGermany,DEU,2009,79.9151\nGermany,DEU,2010,80.0814\nGermany,DEU,2011,80.3549\nGermany,DEU,2012,80.5017\nGermany,DEU,2013,80.454\nGermany,DEU,2014,80.9056\nGermany,DEU,2015,80.5658\nGermany,DEU,2016,80.8371\nGermany,DEU,2017,80.9371\nGermany,DEU,2018,80.8747\nGermany,DEU,2019,81.1893\nGermany,DEU,2020,81.0036\nGermany,DEU,2021,81.1059\nGermany,DEU,2022,80.5796\nGermany,DEU,2023,81.3777\n```\n\nHow much did life expectancy change for Germany between 1990 and 2023?","response":"It moved from 75.34 years in 1990 to 81.38 years in 2023, a change of 6.04 years (+8.01%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nGermany,DEU,1990,75.3414\nGermany,DEU,1991,75.5597\nGermany,DEU,1992,76.0035\nGermany,DEU,1993,76.0803\nGermany,DEU,1994,76.3799\nGermany,DEU,1995,76.5515\nGermany,DEU,1996,76.7833\nGermany,DEU,1997,77.2182\nGermany,DEU,1998,77.5759\nGermany,DEU,1999,77.7977\nGermany,DEU,2000,78.0563\nGermany,DEU,2001,78.4023\nGermany,DEU,2002,78.4749\nGermany,DEU,2003,78.5361\nGermany,DEU,2004,79.1186\nGermany,DEU,2005,79.254\nGermany,DEU,2006,79.5862\nGermany,DEU,2007,79.7306\nGermany,DEU,2008,79.8161\nGermany,DEU,2009,79.9151\nGermany,DEU,2010,80.0814\nGermany,DEU,2011,80.3549\nGermany,DEU,2012,80.5017\nGermany,DEU,2013,80.454\nGermany,DEU,2014,80.9056\nGermany,DEU,2015,80.5658\nGermany,DEU,2016,80.8371\nGermany,DEU,2017,80.9371\nGermany,DEU,2018,80.8747\nGermany,DEU,2019,81.1893\nGermany,DEU,2020,81.0036\nGermany,DEU,2021,81.1059\nGermany,DEU,2022,80.5796\nGermany,DEU,2023,81.3777\n```\n\nWas life expectancy in Germany higher in 1997 or 2012?","response":"Higher in 2012. The chart gives 77.22 years for 1997 and 80.5 years for 2012, a difference of 3.28 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nGermany,DEU,1990,75.3414\nGermany,DEU,1991,75.5597\nGermany,DEU,1992,76.0035\nGermany,DEU,1993,76.0803\nGermany,DEU,1994,76.3799\nGermany,DEU,1995,76.5515\nGermany,DEU,1996,76.7833\nGermany,DEU,1997,77.2182\nGermany,DEU,1998,77.5759\nGermany,DEU,1999,77.7977\nGermany,DEU,2000,78.0563\nGermany,DEU,2001,78.4023\nGermany,DEU,2002,78.4749\nGermany,DEU,2003,78.5361\nGermany,DEU,2004,79.1186\nGermany,DEU,2005,79.254\nGermany,DEU,2006,79.5862\nGermany,DEU,2007,79.7306\nGermany,DEU,2008,79.8161\nGermany,DEU,2009,79.9151\nGermany,DEU,2010,80.0814\nGermany,DEU,2011,80.3549\nGermany,DEU,2012,80.5017\nGermany,DEU,2013,80.454\nGermany,DEU,2014,80.9056\nGermany,DEU,2015,80.5658\nGermany,DEU,2016,80.8371\nGermany,DEU,2017,80.9371\nGermany,DEU,2018,80.8747\nGermany,DEU,2019,81.1893\nGermany,DEU,2020,81.0036\nGermany,DEU,2021,81.1059\nGermany,DEU,2022,80.5796\nGermany,DEU,2023,81.3777\n```\n\nAccording to this chart, what was life expectancy in Germany in 2021?","response":"Reading the plotted point for 2021, life expectancy in Germany was 81.11 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nGermany,DEU,1990,75.3414\nGermany,DEU,1991,75.5597\nGermany,DEU,1992,76.0035\nGermany,DEU,1993,76.0803\nGermany,DEU,1994,76.3799\nGermany,DEU,1995,76.5515\nGermany,DEU,1996,76.7833\nGermany,DEU,1997,77.2182\nGermany,DEU,1998,77.5759\nGermany,DEU,1999,77.7977\nGermany,DEU,2000,78.0563\nGermany,DEU,2001,78.4023\nGermany,DEU,2002,78.4749\nGermany,DEU,2003,78.5361\nGermany,DEU,2004,79.1186\nGermany,DEU,2005,79.254\nGermany,DEU,2006,79.5862\nGermany,DEU,2007,79.7306\nGermany,DEU,2008,79.8161\nGermany,DEU,2009,79.9151\nGermany,DEU,2010,80.0814\nGermany,DEU,2011,80.3549\nGermany,DEU,2012,80.5017\nGermany,DEU,2013,80.454\nGermany,DEU,2014,80.9056\nGermany,DEU,2015,80.5658\nGermany,DEU,2016,80.8371\nGermany,DEU,2017,80.9371\nGermany,DEU,2018,80.8747\nGermany,DEU,2019,81.1893\nGermany,DEU,2020,81.0036\nGermany,DEU,2021,81.1059\nGermany,DEU,2022,80.5796\nGermany,DEU,2023,81.3777\n```\n\nIn which year shown does life expectancy reach its highest value for Germany?","response":"The series peaks in 2023, at 81.38 years. The lowest point shown is 1990, at 75.34 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nGermany,DEU,1990,75.3414\nGermany,DEU,1991,75.5597\nGermany,DEU,1992,76.0035\nGermany,DEU,1993,76.0803\nGermany,DEU,1994,76.3799\nGermany,DEU,1995,76.5515\nGermany,DEU,1996,76.7833\nGermany,DEU,1997,77.2182\nGermany,DEU,1998,77.5759\nGermany,DEU,1999,77.7977\nGermany,DEU,2000,78.0563\nGermany,DEU,2001,78.4023\nGermany,DEU,2002,78.4749\nGermany,DEU,2003,78.5361\nGermany,DEU,2004,79.1186\nGermany,DEU,2005,79.254\nGermany,DEU,2006,79.5862\nGermany,DEU,2007,79.7306\nGermany,DEU,2008,79.8161\nGermany,DEU,2009,79.9151\nGermany,DEU,2010,80.0814\nGermany,DEU,2011,80.3549\nGermany,DEU,2012,80.5017\nGermany,DEU,2013,80.454\nGermany,DEU,2014,80.9056\nGermany,DEU,2015,80.5658\nGermany,DEU,2016,80.8371\nGermany,DEU,2017,80.9371\nGermany,DEU,2018,80.8747\nGermany,DEU,2019,81.1893\nGermany,DEU,2020,81.0036\nGermany,DEU,2021,81.1059\nGermany,DEU,2022,80.5796\nGermany,DEU,2023,81.3777\n```\n\nHow much did life expectancy change for Germany between 1990 and 2023?","response":"It moved from 75.34 years in 1990 to 81.38 years in 2023, a change of 6.04 years (+8.01%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nGermany,DEU,1990,75.3414\nGermany,DEU,1991,75.5597\nGermany,DEU,1992,76.0035\nGermany,DEU,1993,76.0803\nGermany,DEU,1994,76.3799\nGermany,DEU,1995,76.5515\nGermany,DEU,1996,76.7833\nGermany,DEU,1997,77.2182\nGermany,DEU,1998,77.5759\nGermany,DEU,1999,77.7977\nGermany,DEU,2000,78.0563\nGermany,DEU,2001,78.4023\nGermany,DEU,2002,78.4749\nGermany,DEU,2003,78.5361\nGermany,DEU,2004,79.1186\nGermany,DEU,2005,79.254\nGermany,DEU,2006,79.5862\nGermany,DEU,2007,79.7306\nGermany,DEU,2008,79.8161\nGermany,DEU,2009,79.9151\nGermany,DEU,2010,80.0814\nGermany,DEU,2011,80.3549\nGermany,DEU,2012,80.5017\nGermany,DEU,2013,80.454\nGermany,DEU,2014,80.9056\nGermany,DEU,2015,80.5658\nGermany,DEU,2016,80.8371\nGermany,DEU,2017,80.9371\nGermany,DEU,2018,80.8747\nGermany,DEU,2019,81.1893\nGermany,DEU,2020,81.0036\nGermany,DEU,2021,81.1059\nGermany,DEU,2022,80.5796\nGermany,DEU,2023,81.3777\n```\n\nWas life expectancy in Germany higher in 1997 or 2012?","response":"Higher in 2012. The chart gives 77.22 years for 1997 and 80.5 years for 2012, a difference of 3.28 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nGermany,DEU,1990,75.3414\nGermany,DEU,1991,75.5597\nGermany,DEU,1992,76.0035\nGermany,DEU,1993,76.0803\nGermany,DEU,1994,76.3799\nGermany,DEU,1995,76.5515\nGermany,DEU,1996,76.7833\nGermany,DEU,1997,77.2182\nGermany,DEU,1998,77.5759\nGermany,DEU,1999,77.7977\nGermany,DEU,2000,78.0563\nGermany,DEU,2001,78.4023\nGermany,DEU,2002,78.4749\nGermany,DEU,2003,78.5361\nGermany,DEU,2004,79.1186\nGermany,DEU,2005,79.254\nGermany,DEU,2006,79.5862\nGermany,DEU,2007,79.7306\nGermany,DEU,2008,79.8161\nGermany,DEU,2009,79.9151\nGermany,DEU,2010,80.0814\nGermany,DEU,2011,80.3549\nGermany,DEU,2012,80.5017\nGermany,DEU,2013,80.454\nGermany,DEU,2014,80.9056\nGermany,DEU,2015,80.5658\nGermany,DEU,2016,80.8371\nGermany,DEU,2017,80.9371\nGermany,DEU,2018,80.8747\nGermany,DEU,2019,81.1893\nGermany,DEU,2020,81.0036\nGermany,DEU,2021,81.1059\nGermany,DEU,2022,80.5796\nGermany,DEU,2023,81.3777\n```\n\nThis chart appears to show life expectancy in Germany rising steeply. How large is the increase actually?","response":"The plotted values run from 75.34 years to 81.38 years, so the actual change is +8.01%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 63.7116 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nGermany,DEU,1990,75.3414\nGermany,DEU,1991,75.5597\nGermany,DEU,1992,76.0035\nGermany,DEU,1993,76.0803\nGermany,DEU,1994,76.3799\nGermany,DEU,1995,76.5515\nGermany,DEU,1996,76.7833\nGermany,DEU,1997,77.2182\nGermany,DEU,1998,77.5759\nGermany,DEU,1999,77.7977\nGermany,DEU,2000,78.0563\nGermany,DEU,2001,78.4023\nGermany,DEU,2002,78.4749\nGermany,DEU,2003,78.5361\nGermany,DEU,2004,79.1186\nGermany,DEU,2005,79.254\nGermany,DEU,2006,79.5862\nGermany,DEU,2007,79.7306\nGermany,DEU,2008,79.8161\nGermany,DEU,2009,79.9151\nGermany,DEU,2010,80.0814\nGermany,DEU,2011,80.3549\nGermany,DEU,2012,80.5017\nGermany,DEU,2013,80.454\nGermany,DEU,2014,80.9056\nGermany,DEU,2015,80.5658\nGermany,DEU,2016,80.8371\nGermany,DEU,2017,80.9371\nGermany,DEU,2018,80.8747\nGermany,DEU,2019,81.1893\nGermany,DEU,2020,81.0036\nGermany,DEU,2021,81.1059\nGermany,DEU,2022,80.5796\nGermany,DEU,2023,81.3777\n```\n\nBased on this chart, is life expectancy in Germany rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 75.34 years to 81.38 years, a change of +8.01%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Life expectancy\nGermany,DEU,1990,75.3414\nGermany,DEU,1991,75.5597\nGermany,DEU,1992,76.0035\nGermany,DEU,1993,76.0803\nGermany,DEU,1994,76.3799\nGermany,DEU,1995,76.5515\nGermany,DEU,1996,76.7833\nGermany,DEU,1997,77.2182\nGermany,DEU,1998,77.5759\nGermany,DEU,1999,77.7977\nGermany,DEU,2000,78.0563\nGermany,DEU,2001,78.4023\nGermany,DEU,2002,78.4749\nGermany,DEU,2003,78.5361\nGermany,DEU,2004,79.1186\nGermany,DEU,2005,79.254\nGermany,DEU,2006,79.5862\nGermany,DEU,2007,79.7306\nGermany,DEU,2008,79.8161\nGermany,DEU,2009,79.9151\nGermany,DEU,2010,80.0814\nGermany,DEU,2011,80.3549\nGermany,DEU,2012,80.5017\nGermany,DEU,2013,80.454\nGermany,DEU,2014,80.9056\nGermany,DEU,2015,80.5658\nGermany,DEU,2016,80.8371\nGermany,DEU,2017,80.9371\nGermany,DEU,2018,80.8747\nGermany,DEU,2019,81.1893\nGermany,DEU,2020,81.0036\nGermany,DEU,2021,81.1059\nGermany,DEU,2022,80.5796\nGermany,DEU,2023,81.3777\n```\n\nWhat was life expectancy for Germany in 1975?","response":"That year is outside this chart. The series runs 1990 to 2023, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 75.34 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/life-expectancy__Germany__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Life expectancy","source_citation":"Riley (2005); Zijdeman et al. (2015); HMD (2025); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/life-expectancy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nGermany,DEU,1995,0.65\nGermany,DEU,1996,0.62\nGermany,DEU,1997,0.59\nGermany,DEU,1998,0.57\nGermany,DEU,1999,0.55\nGermany,DEU,2000,0.54\nGermany,DEU,2001,0.52\nGermany,DEU,2002,0.51\nGermany,DEU,2003,0.5\nGermany,DEU,2004,0.49\nGermany,DEU,2005,0.47\nGermany,DEU,2006,0.46\nGermany,DEU,2007,0.45\nGermany,DEU,2008,0.44\nGermany,DEU,2009,0.43\nGermany,DEU,2010,0.42\nGermany,DEU,2011,0.41\nGermany,DEU,2012,0.4\nGermany,DEU,2013,0.4\nGermany,DEU,2014,0.4\nGermany,DEU,2015,0.39\nGermany,DEU,2016,0.39\nGermany,DEU,2017,0.38\nGermany,DEU,2018,0.38\nGermany,DEU,2019,0.37\nGermany,DEU,2020,0.37\nGermany,DEU,2021,0.37\nGermany,DEU,2022,0.37\nGermany,DEU,2023,0.37\nGermany,DEU,2024,0.37\n```\n\nAccording to this chart, what was under-five mortality rate (selected) in Germany in 2004?","response":"Reading the plotted point for 2004, under-five mortality rate (selected) in Germany was 0.49 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nGermany,DEU,1995,0.65\nGermany,DEU,1996,0.62\nGermany,DEU,1997,0.59\nGermany,DEU,1998,0.57\nGermany,DEU,1999,0.55\nGermany,DEU,2000,0.54\nGermany,DEU,2001,0.52\nGermany,DEU,2002,0.51\nGermany,DEU,2003,0.5\nGermany,DEU,2004,0.49\nGermany,DEU,2005,0.47\nGermany,DEU,2006,0.46\nGermany,DEU,2007,0.45\nGermany,DEU,2008,0.44\nGermany,DEU,2009,0.43\nGermany,DEU,2010,0.42\nGermany,DEU,2011,0.41\nGermany,DEU,2012,0.4\nGermany,DEU,2013,0.4\nGermany,DEU,2014,0.4\nGermany,DEU,2015,0.39\nGermany,DEU,2016,0.39\nGermany,DEU,2017,0.38\nGermany,DEU,2018,0.38\nGermany,DEU,2019,0.37\nGermany,DEU,2020,0.37\nGermany,DEU,2021,0.37\nGermany,DEU,2022,0.37\nGermany,DEU,2023,0.37\nGermany,DEU,2024,0.37\n```\n\nIn which year shown does under-five mortality rate (selected) reach its highest value for Germany?","response":"The series peaks in 1995, at 0.65 %. The lowest point shown is 2019, at 0.37 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nGermany,DEU,1995,0.65\nGermany,DEU,1996,0.62\nGermany,DEU,1997,0.59\nGermany,DEU,1998,0.57\nGermany,DEU,1999,0.55\nGermany,DEU,2000,0.54\nGermany,DEU,2001,0.52\nGermany,DEU,2002,0.51\nGermany,DEU,2003,0.5\nGermany,DEU,2004,0.49\nGermany,DEU,2005,0.47\nGermany,DEU,2006,0.46\nGermany,DEU,2007,0.45\nGermany,DEU,2008,0.44\nGermany,DEU,2009,0.43\nGermany,DEU,2010,0.42\nGermany,DEU,2011,0.41\nGermany,DEU,2012,0.4\nGermany,DEU,2013,0.4\nGermany,DEU,2014,0.4\nGermany,DEU,2015,0.39\nGermany,DEU,2016,0.39\nGermany,DEU,2017,0.38\nGermany,DEU,2018,0.38\nGermany,DEU,2019,0.37\nGermany,DEU,2020,0.37\nGermany,DEU,2021,0.37\nGermany,DEU,2022,0.37\nGermany,DEU,2023,0.37\nGermany,DEU,2024,0.37\n```\n\nHow much did under-five mortality rate (selected) change for Germany between 1995 and 2024?","response":"It moved from 0.65 % in 1995 to 0.37 % in 2024, a change of -0.28 % (-43.08%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nGermany,DEU,1995,0.65\nGermany,DEU,1996,0.62\nGermany,DEU,1997,0.59\nGermany,DEU,1998,0.57\nGermany,DEU,1999,0.55\nGermany,DEU,2000,0.54\nGermany,DEU,2001,0.52\nGermany,DEU,2002,0.51\nGermany,DEU,2003,0.5\nGermany,DEU,2004,0.49\nGermany,DEU,2005,0.47\nGermany,DEU,2006,0.46\nGermany,DEU,2007,0.45\nGermany,DEU,2008,0.44\nGermany,DEU,2009,0.43\nGermany,DEU,2010,0.42\nGermany,DEU,2011,0.41\nGermany,DEU,2012,0.4\nGermany,DEU,2013,0.4\nGermany,DEU,2014,0.4\nGermany,DEU,2015,0.39\nGermany,DEU,2016,0.39\nGermany,DEU,2017,0.38\nGermany,DEU,2018,0.38\nGermany,DEU,2019,0.37\nGermany,DEU,2020,0.37\nGermany,DEU,2021,0.37\nGermany,DEU,2022,0.37\nGermany,DEU,2023,0.37\nGermany,DEU,2024,0.37\n```\n\nWas under-five mortality rate (selected) in Germany higher in 2007 or 2023?","response":"Higher in 2007. The chart gives 0.45 % for 2007 and 0.37 % for 2023, a difference of 0.08 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nGermany,DEU,1995,0.65\nGermany,DEU,1996,0.62\nGermany,DEU,1997,0.59\nGermany,DEU,1998,0.57\nGermany,DEU,1999,0.55\nGermany,DEU,2000,0.54\nGermany,DEU,2001,0.52\nGermany,DEU,2002,0.51\nGermany,DEU,2003,0.5\nGermany,DEU,2004,0.49\nGermany,DEU,2005,0.47\nGermany,DEU,2006,0.46\nGermany,DEU,2007,0.45\nGermany,DEU,2008,0.44\nGermany,DEU,2009,0.43\nGermany,DEU,2010,0.42\nGermany,DEU,2011,0.41\nGermany,DEU,2012,0.4\nGermany,DEU,2013,0.4\nGermany,DEU,2014,0.4\nGermany,DEU,2015,0.39\nGermany,DEU,2016,0.39\nGermany,DEU,2017,0.38\nGermany,DEU,2018,0.38\nGermany,DEU,2019,0.37\nGermany,DEU,2020,0.37\nGermany,DEU,2021,0.37\nGermany,DEU,2022,0.37\nGermany,DEU,2023,0.37\nGermany,DEU,2024,0.37\n```\n\nAccording to this chart, what was under-five mortality rate (selected) in Germany in 2004?","response":"Reading the plotted point for 2004, under-five mortality rate (selected) in Germany was 0.49 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nGermany,DEU,1995,0.65\nGermany,DEU,1996,0.62\nGermany,DEU,1997,0.59\nGermany,DEU,1998,0.57\nGermany,DEU,1999,0.55\nGermany,DEU,2000,0.54\nGermany,DEU,2001,0.52\nGermany,DEU,2002,0.51\nGermany,DEU,2003,0.5\nGermany,DEU,2004,0.49\nGermany,DEU,2005,0.47\nGermany,DEU,2006,0.46\nGermany,DEU,2007,0.45\nGermany,DEU,2008,0.44\nGermany,DEU,2009,0.43\nGermany,DEU,2010,0.42\nGermany,DEU,2011,0.41\nGermany,DEU,2012,0.4\nGermany,DEU,2013,0.4\nGermany,DEU,2014,0.4\nGermany,DEU,2015,0.39\nGermany,DEU,2016,0.39\nGermany,DEU,2017,0.38\nGermany,DEU,2018,0.38\nGermany,DEU,2019,0.37\nGermany,DEU,2020,0.37\nGermany,DEU,2021,0.37\nGermany,DEU,2022,0.37\nGermany,DEU,2023,0.37\nGermany,DEU,2024,0.37\n```\n\nIn which year shown does under-five mortality rate (selected) reach its highest value for Germany?","response":"The series peaks in 1995, at 0.65 %. The lowest point shown is 2019, at 0.37 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nGermany,DEU,1995,0.65\nGermany,DEU,1996,0.62\nGermany,DEU,1997,0.59\nGermany,DEU,1998,0.57\nGermany,DEU,1999,0.55\nGermany,DEU,2000,0.54\nGermany,DEU,2001,0.52\nGermany,DEU,2002,0.51\nGermany,DEU,2003,0.5\nGermany,DEU,2004,0.49\nGermany,DEU,2005,0.47\nGermany,DEU,2006,0.46\nGermany,DEU,2007,0.45\nGermany,DEU,2008,0.44\nGermany,DEU,2009,0.43\nGermany,DEU,2010,0.42\nGermany,DEU,2011,0.41\nGermany,DEU,2012,0.4\nGermany,DEU,2013,0.4\nGermany,DEU,2014,0.4\nGermany,DEU,2015,0.39\nGermany,DEU,2016,0.39\nGermany,DEU,2017,0.38\nGermany,DEU,2018,0.38\nGermany,DEU,2019,0.37\nGermany,DEU,2020,0.37\nGermany,DEU,2021,0.37\nGermany,DEU,2022,0.37\nGermany,DEU,2023,0.37\nGermany,DEU,2024,0.37\n```\n\nHow much did under-five mortality rate (selected) change for Germany between 1995 and 2024?","response":"It moved from 0.65 % in 1995 to 0.37 % in 2024, a change of -0.28 % (-43.08%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nGermany,DEU,1995,0.65\nGermany,DEU,1996,0.62\nGermany,DEU,1997,0.59\nGermany,DEU,1998,0.57\nGermany,DEU,1999,0.55\nGermany,DEU,2000,0.54\nGermany,DEU,2001,0.52\nGermany,DEU,2002,0.51\nGermany,DEU,2003,0.5\nGermany,DEU,2004,0.49\nGermany,DEU,2005,0.47\nGermany,DEU,2006,0.46\nGermany,DEU,2007,0.45\nGermany,DEU,2008,0.44\nGermany,DEU,2009,0.43\nGermany,DEU,2010,0.42\nGermany,DEU,2011,0.41\nGermany,DEU,2012,0.4\nGermany,DEU,2013,0.4\nGermany,DEU,2014,0.4\nGermany,DEU,2015,0.39\nGermany,DEU,2016,0.39\nGermany,DEU,2017,0.38\nGermany,DEU,2018,0.38\nGermany,DEU,2019,0.37\nGermany,DEU,2020,0.37\nGermany,DEU,2021,0.37\nGermany,DEU,2022,0.37\nGermany,DEU,2023,0.37\nGermany,DEU,2024,0.37\n```\n\nWas under-five mortality rate (selected) in Germany higher in 2007 or 2023?","response":"Higher in 2007. The chart gives 0.45 % for 2007 and 0.37 % for 2023, a difference of 0.08 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nGermany,DEU,1995,0.65\nGermany,DEU,1996,0.62\nGermany,DEU,1997,0.59\nGermany,DEU,1998,0.57\nGermany,DEU,1999,0.55\nGermany,DEU,2000,0.54\nGermany,DEU,2001,0.52\nGermany,DEU,2002,0.51\nGermany,DEU,2003,0.5\nGermany,DEU,2004,0.49\nGermany,DEU,2005,0.47\nGermany,DEU,2006,0.46\nGermany,DEU,2007,0.45\nGermany,DEU,2008,0.44\nGermany,DEU,2009,0.43\nGermany,DEU,2010,0.42\nGermany,DEU,2011,0.41\nGermany,DEU,2012,0.4\nGermany,DEU,2013,0.4\nGermany,DEU,2014,0.4\nGermany,DEU,2015,0.39\nGermany,DEU,2016,0.39\nGermany,DEU,2017,0.38\nGermany,DEU,2018,0.38\nGermany,DEU,2019,0.37\nGermany,DEU,2020,0.37\nGermany,DEU,2021,0.37\nGermany,DEU,2022,0.37\nGermany,DEU,2023,0.37\nGermany,DEU,2024,0.37\n```\n\nThis chart makes the change in under-five mortality rate (selected) for Germany look dramatic. Is it?","response":"The values change by -43.08%, from 0.65 % to 0.37 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nGermany,DEU,1995,0.65\nGermany,DEU,1996,0.62\nGermany,DEU,1997,0.59\nGermany,DEU,1998,0.57\nGermany,DEU,1999,0.55\nGermany,DEU,2000,0.54\nGermany,DEU,2001,0.52\nGermany,DEU,2002,0.51\nGermany,DEU,2003,0.5\nGermany,DEU,2004,0.49\nGermany,DEU,2005,0.47\nGermany,DEU,2006,0.46\nGermany,DEU,2007,0.45\nGermany,DEU,2008,0.44\nGermany,DEU,2009,0.43\nGermany,DEU,2010,0.42\nGermany,DEU,2011,0.41\nGermany,DEU,2012,0.4\nGermany,DEU,2013,0.4\nGermany,DEU,2014,0.4\nGermany,DEU,2015,0.39\nGermany,DEU,2016,0.39\nGermany,DEU,2017,0.38\nGermany,DEU,2018,0.38\nGermany,DEU,2019,0.37\nGermany,DEU,2020,0.37\nGermany,DEU,2021,0.37\nGermany,DEU,2022,0.37\nGermany,DEU,2023,0.37\nGermany,DEU,2024,0.37\n```\n\nThis chart appears to show under-five mortality rate (selected) in Germany rising steeply. How large is the increase actually?","response":"The plotted values run from 0.65 % to 0.37 %, so the actual change is -43.08%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 0.3644 instead of zero, which magnifies the visual change by roughly 2.41x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nGermany,DEU,1995,0.65\nGermany,DEU,1996,0.62\nGermany,DEU,1997,0.59\nGermany,DEU,1998,0.57\nGermany,DEU,1999,0.55\nGermany,DEU,2000,0.54\nGermany,DEU,2001,0.52\nGermany,DEU,2002,0.51\nGermany,DEU,2003,0.5\nGermany,DEU,2004,0.49\nGermany,DEU,2005,0.47\nGermany,DEU,2006,0.46\nGermany,DEU,2007,0.45\nGermany,DEU,2008,0.44\nGermany,DEU,2009,0.43\nGermany,DEU,2010,0.42\nGermany,DEU,2011,0.41\nGermany,DEU,2012,0.4\nGermany,DEU,2013,0.4\nGermany,DEU,2014,0.4\nGermany,DEU,2015,0.39\nGermany,DEU,2016,0.39\nGermany,DEU,2017,0.38\nGermany,DEU,2018,0.38\nGermany,DEU,2019,0.37\nGermany,DEU,2020,0.37\nGermany,DEU,2021,0.37\nGermany,DEU,2022,0.37\nGermany,DEU,2023,0.37\nGermany,DEU,2024,0.37\n```\n\nWhat was under-five mortality rate (selected) for Germany in 1980?","response":"That year is outside this chart. The series runs 1995 to 2024, and 1980 falls before it begins, so there is no value to read. The earliest point available is 1995, at 0.65 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Germany__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nIndonesia,IDN,1995,6.55\nIndonesia,IDN,1996,6.24\nIndonesia,IDN,1997,5.94\nIndonesia,IDN,1998,5.66\nIndonesia,IDN,1999,5.39\nIndonesia,IDN,2000,5.14\nIndonesia,IDN,2001,4.9\nIndonesia,IDN,2002,4.67\nIndonesia,IDN,2003,4.46\nIndonesia,IDN,2004,4.86\nIndonesia,IDN,2005,4.07\nIndonesia,IDN,2006,3.89\nIndonesia,IDN,2007,3.72\nIndonesia,IDN,2008,3.56\nIndonesia,IDN,2009,3.41\nIndonesia,IDN,2010,3.26\nIndonesia,IDN,2011,3.12\nIndonesia,IDN,2012,2.99\nIndonesia,IDN,2013,2.86\nIndonesia,IDN,2014,2.73\nIndonesia,IDN,2015,2.61\nIndonesia,IDN,2016,2.5\nIndonesia,IDN,2017,2.38\nIndonesia,IDN,2018,2.28\nIndonesia,IDN,2019,2.18\nIndonesia,IDN,2020,2.08\nIndonesia,IDN,2021,1.99\nIndonesia,IDN,2022,1.91\nIndonesia,IDN,2023,1.84\nIndonesia,IDN,2024,1.77\n```\n\nAccording to this chart, what was under-five mortality rate (selected) in Indonesia in 2010?","response":"Reading the plotted point for 2010, under-five mortality rate (selected) in Indonesia was 3.26 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nIndonesia,IDN,1995,6.55\nIndonesia,IDN,1996,6.24\nIndonesia,IDN,1997,5.94\nIndonesia,IDN,1998,5.66\nIndonesia,IDN,1999,5.39\nIndonesia,IDN,2000,5.14\nIndonesia,IDN,2001,4.9\nIndonesia,IDN,2002,4.67\nIndonesia,IDN,2003,4.46\nIndonesia,IDN,2004,4.86\nIndonesia,IDN,2005,4.07\nIndonesia,IDN,2006,3.89\nIndonesia,IDN,2007,3.72\nIndonesia,IDN,2008,3.56\nIndonesia,IDN,2009,3.41\nIndonesia,IDN,2010,3.26\nIndonesia,IDN,2011,3.12\nIndonesia,IDN,2012,2.99\nIndonesia,IDN,2013,2.86\nIndonesia,IDN,2014,2.73\nIndonesia,IDN,2015,2.61\nIndonesia,IDN,2016,2.5\nIndonesia,IDN,2017,2.38\nIndonesia,IDN,2018,2.28\nIndonesia,IDN,2019,2.18\nIndonesia,IDN,2020,2.08\nIndonesia,IDN,2021,1.99\nIndonesia,IDN,2022,1.91\nIndonesia,IDN,2023,1.84\nIndonesia,IDN,2024,1.77\n```\n\nIn which year shown does under-five mortality rate (selected) reach its highest value for Indonesia?","response":"The series peaks in 1995, at 6.55 %. The lowest point shown is 2024, at 1.77 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nIndonesia,IDN,1995,6.55\nIndonesia,IDN,1996,6.24\nIndonesia,IDN,1997,5.94\nIndonesia,IDN,1998,5.66\nIndonesia,IDN,1999,5.39\nIndonesia,IDN,2000,5.14\nIndonesia,IDN,2001,4.9\nIndonesia,IDN,2002,4.67\nIndonesia,IDN,2003,4.46\nIndonesia,IDN,2004,4.86\nIndonesia,IDN,2005,4.07\nIndonesia,IDN,2006,3.89\nIndonesia,IDN,2007,3.72\nIndonesia,IDN,2008,3.56\nIndonesia,IDN,2009,3.41\nIndonesia,IDN,2010,3.26\nIndonesia,IDN,2011,3.12\nIndonesia,IDN,2012,2.99\nIndonesia,IDN,2013,2.86\nIndonesia,IDN,2014,2.73\nIndonesia,IDN,2015,2.61\nIndonesia,IDN,2016,2.5\nIndonesia,IDN,2017,2.38\nIndonesia,IDN,2018,2.28\nIndonesia,IDN,2019,2.18\nIndonesia,IDN,2020,2.08\nIndonesia,IDN,2021,1.99\nIndonesia,IDN,2022,1.91\nIndonesia,IDN,2023,1.84\nIndonesia,IDN,2024,1.77\n```\n\nHow much did under-five mortality rate (selected) change for Indonesia between 1995 and 2024?","response":"It moved from 6.55 % in 1995 to 1.77 % in 2024, a change of -4.78 % (-72.98%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nIndonesia,IDN,1995,6.55\nIndonesia,IDN,1996,6.24\nIndonesia,IDN,1997,5.94\nIndonesia,IDN,1998,5.66\nIndonesia,IDN,1999,5.39\nIndonesia,IDN,2000,5.14\nIndonesia,IDN,2001,4.9\nIndonesia,IDN,2002,4.67\nIndonesia,IDN,2003,4.46\nIndonesia,IDN,2004,4.86\nIndonesia,IDN,2005,4.07\nIndonesia,IDN,2006,3.89\nIndonesia,IDN,2007,3.72\nIndonesia,IDN,2008,3.56\nIndonesia,IDN,2009,3.41\nIndonesia,IDN,2010,3.26\nIndonesia,IDN,2011,3.12\nIndonesia,IDN,2012,2.99\nIndonesia,IDN,2013,2.86\nIndonesia,IDN,2014,2.73\nIndonesia,IDN,2015,2.61\nIndonesia,IDN,2016,2.5\nIndonesia,IDN,2017,2.38\nIndonesia,IDN,2018,2.28\nIndonesia,IDN,2019,2.18\nIndonesia,IDN,2020,2.08\nIndonesia,IDN,2021,1.99\nIndonesia,IDN,2022,1.91\nIndonesia,IDN,2023,1.84\nIndonesia,IDN,2024,1.77\n```\n\nWas under-five mortality rate (selected) in Indonesia higher in 2003 or 2017?","response":"Higher in 2003. The chart gives 4.46 % for 2003 and 2.38 % for 2017, a difference of 2.08 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nIndonesia,IDN,1995,6.55\nIndonesia,IDN,1996,6.24\nIndonesia,IDN,1997,5.94\nIndonesia,IDN,1998,5.66\nIndonesia,IDN,1999,5.39\nIndonesia,IDN,2000,5.14\nIndonesia,IDN,2001,4.9\nIndonesia,IDN,2002,4.67\nIndonesia,IDN,2003,4.46\nIndonesia,IDN,2004,4.86\nIndonesia,IDN,2005,4.07\nIndonesia,IDN,2006,3.89\nIndonesia,IDN,2007,3.72\nIndonesia,IDN,2008,3.56\nIndonesia,IDN,2009,3.41\nIndonesia,IDN,2010,3.26\nIndonesia,IDN,2011,3.12\nIndonesia,IDN,2012,2.99\nIndonesia,IDN,2013,2.86\nIndonesia,IDN,2014,2.73\nIndonesia,IDN,2015,2.61\nIndonesia,IDN,2016,2.5\nIndonesia,IDN,2017,2.38\nIndonesia,IDN,2018,2.28\nIndonesia,IDN,2019,2.18\nIndonesia,IDN,2020,2.08\nIndonesia,IDN,2021,1.99\nIndonesia,IDN,2022,1.91\nIndonesia,IDN,2023,1.84\nIndonesia,IDN,2024,1.77\n```\n\nAccording to this chart, what was under-five mortality rate (selected) in Indonesia in 2010?","response":"Reading the plotted point for 2010, under-five mortality rate (selected) in Indonesia was 3.26 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nIndonesia,IDN,1995,6.55\nIndonesia,IDN,1996,6.24\nIndonesia,IDN,1997,5.94\nIndonesia,IDN,1998,5.66\nIndonesia,IDN,1999,5.39\nIndonesia,IDN,2000,5.14\nIndonesia,IDN,2001,4.9\nIndonesia,IDN,2002,4.67\nIndonesia,IDN,2003,4.46\nIndonesia,IDN,2004,4.86\nIndonesia,IDN,2005,4.07\nIndonesia,IDN,2006,3.89\nIndonesia,IDN,2007,3.72\nIndonesia,IDN,2008,3.56\nIndonesia,IDN,2009,3.41\nIndonesia,IDN,2010,3.26\nIndonesia,IDN,2011,3.12\nIndonesia,IDN,2012,2.99\nIndonesia,IDN,2013,2.86\nIndonesia,IDN,2014,2.73\nIndonesia,IDN,2015,2.61\nIndonesia,IDN,2016,2.5\nIndonesia,IDN,2017,2.38\nIndonesia,IDN,2018,2.28\nIndonesia,IDN,2019,2.18\nIndonesia,IDN,2020,2.08\nIndonesia,IDN,2021,1.99\nIndonesia,IDN,2022,1.91\nIndonesia,IDN,2023,1.84\nIndonesia,IDN,2024,1.77\n```\n\nIn which year shown does under-five mortality rate (selected) reach its highest value for Indonesia?","response":"The series peaks in 1995, at 6.55 %. The lowest point shown is 2024, at 1.77 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nIndonesia,IDN,1995,6.55\nIndonesia,IDN,1996,6.24\nIndonesia,IDN,1997,5.94\nIndonesia,IDN,1998,5.66\nIndonesia,IDN,1999,5.39\nIndonesia,IDN,2000,5.14\nIndonesia,IDN,2001,4.9\nIndonesia,IDN,2002,4.67\nIndonesia,IDN,2003,4.46\nIndonesia,IDN,2004,4.86\nIndonesia,IDN,2005,4.07\nIndonesia,IDN,2006,3.89\nIndonesia,IDN,2007,3.72\nIndonesia,IDN,2008,3.56\nIndonesia,IDN,2009,3.41\nIndonesia,IDN,2010,3.26\nIndonesia,IDN,2011,3.12\nIndonesia,IDN,2012,2.99\nIndonesia,IDN,2013,2.86\nIndonesia,IDN,2014,2.73\nIndonesia,IDN,2015,2.61\nIndonesia,IDN,2016,2.5\nIndonesia,IDN,2017,2.38\nIndonesia,IDN,2018,2.28\nIndonesia,IDN,2019,2.18\nIndonesia,IDN,2020,2.08\nIndonesia,IDN,2021,1.99\nIndonesia,IDN,2022,1.91\nIndonesia,IDN,2023,1.84\nIndonesia,IDN,2024,1.77\n```\n\nHow much did under-five mortality rate (selected) change for Indonesia between 1995 and 2024?","response":"It moved from 6.55 % in 1995 to 1.77 % in 2024, a change of -4.78 % (-72.98%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nIndonesia,IDN,1995,6.55\nIndonesia,IDN,1996,6.24\nIndonesia,IDN,1997,5.94\nIndonesia,IDN,1998,5.66\nIndonesia,IDN,1999,5.39\nIndonesia,IDN,2000,5.14\nIndonesia,IDN,2001,4.9\nIndonesia,IDN,2002,4.67\nIndonesia,IDN,2003,4.46\nIndonesia,IDN,2004,4.86\nIndonesia,IDN,2005,4.07\nIndonesia,IDN,2006,3.89\nIndonesia,IDN,2007,3.72\nIndonesia,IDN,2008,3.56\nIndonesia,IDN,2009,3.41\nIndonesia,IDN,2010,3.26\nIndonesia,IDN,2011,3.12\nIndonesia,IDN,2012,2.99\nIndonesia,IDN,2013,2.86\nIndonesia,IDN,2014,2.73\nIndonesia,IDN,2015,2.61\nIndonesia,IDN,2016,2.5\nIndonesia,IDN,2017,2.38\nIndonesia,IDN,2018,2.28\nIndonesia,IDN,2019,2.18\nIndonesia,IDN,2020,2.08\nIndonesia,IDN,2021,1.99\nIndonesia,IDN,2022,1.91\nIndonesia,IDN,2023,1.84\nIndonesia,IDN,2024,1.77\n```\n\nWas under-five mortality rate (selected) in Indonesia higher in 2003 or 2017?","response":"Higher in 2003. The chart gives 4.46 % for 2003 and 2.38 % for 2017, a difference of 2.08 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nIndonesia,IDN,1995,6.55\nIndonesia,IDN,1996,6.24\nIndonesia,IDN,1997,5.94\nIndonesia,IDN,1998,5.66\nIndonesia,IDN,1999,5.39\nIndonesia,IDN,2000,5.14\nIndonesia,IDN,2001,4.9\nIndonesia,IDN,2002,4.67\nIndonesia,IDN,2003,4.46\nIndonesia,IDN,2004,4.86\nIndonesia,IDN,2005,4.07\nIndonesia,IDN,2006,3.89\nIndonesia,IDN,2007,3.72\nIndonesia,IDN,2008,3.56\nIndonesia,IDN,2009,3.41\nIndonesia,IDN,2010,3.26\nIndonesia,IDN,2011,3.12\nIndonesia,IDN,2012,2.99\nIndonesia,IDN,2013,2.86\nIndonesia,IDN,2014,2.73\nIndonesia,IDN,2015,2.61\nIndonesia,IDN,2016,2.5\nIndonesia,IDN,2017,2.38\nIndonesia,IDN,2018,2.28\nIndonesia,IDN,2019,2.18\nIndonesia,IDN,2020,2.08\nIndonesia,IDN,2021,1.99\nIndonesia,IDN,2022,1.91\nIndonesia,IDN,2023,1.84\nIndonesia,IDN,2024,1.77\n```\n\nThis chart makes the change in under-five mortality rate (selected) for Indonesia look dramatic. Is it?","response":"The values change by -72.98%, from 6.55 % to 1.77 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nIndonesia,IDN,1995,6.55\nIndonesia,IDN,1996,6.24\nIndonesia,IDN,1997,5.94\nIndonesia,IDN,1998,5.66\nIndonesia,IDN,1999,5.39\nIndonesia,IDN,2000,5.14\nIndonesia,IDN,2001,4.9\nIndonesia,IDN,2002,4.67\nIndonesia,IDN,2003,4.46\nIndonesia,IDN,2004,4.86\nIndonesia,IDN,2005,4.07\nIndonesia,IDN,2006,3.89\nIndonesia,IDN,2007,3.72\nIndonesia,IDN,2008,3.56\nIndonesia,IDN,2009,3.41\nIndonesia,IDN,2010,3.26\nIndonesia,IDN,2011,3.12\nIndonesia,IDN,2012,2.99\nIndonesia,IDN,2013,2.86\nIndonesia,IDN,2014,2.73\nIndonesia,IDN,2015,2.61\nIndonesia,IDN,2016,2.5\nIndonesia,IDN,2017,2.38\nIndonesia,IDN,2018,2.28\nIndonesia,IDN,2019,2.18\nIndonesia,IDN,2020,2.08\nIndonesia,IDN,2021,1.99\nIndonesia,IDN,2022,1.91\nIndonesia,IDN,2023,1.84\nIndonesia,IDN,2024,1.77\n```\n\nWhat was under-five mortality rate (selected) for Indonesia in 1980?","response":"That year is outside this chart. The series runs 1995 to 2024, and 1980 falls before it begins, so there is no value to read. The earliest point available is 1995, at 6.55 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Indonesia__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nKenya,KEN,1995,10.93\nKenya,KEN,1996,10.8\nKenya,KEN,1997,10.59\nKenya,KEN,1998,10.3\nKenya,KEN,1999,9.95\nKenya,KEN,2000,9.52\nKenya,KEN,2001,9.05\nKenya,KEN,2002,8.56\nKenya,KEN,2003,8.08\nKenya,KEN,2004,7.61\nKenya,KEN,2005,7.12\nKenya,KEN,2006,6.68\nKenya,KEN,2007,6.29\nKenya,KEN,2008,5.8\nKenya,KEN,2009,5.52\nKenya,KEN,2010,5.31\nKenya,KEN,2011,5.17\nKenya,KEN,2012,5.07\nKenya,KEN,2013,4.94\nKenya,KEN,2014,4.83\nKenya,KEN,2015,4.68\nKenya,KEN,2016,4.55\nKenya,KEN,2017,4.47\nKenya,KEN,2018,4.37\nKenya,KEN,2019,4.27\nKenya,KEN,2020,4.21\nKenya,KEN,2021,4.13\nKenya,KEN,2022,4.05\nKenya,KEN,2023,3.96\nKenya,KEN,2024,3.88\n```\n\nAccording to this chart, what was under-five mortality rate (selected) in Kenya in 2004?","response":"Reading the plotted point for 2004, under-five mortality rate (selected) in Kenya was 7.61 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nKenya,KEN,1995,10.93\nKenya,KEN,1996,10.8\nKenya,KEN,1997,10.59\nKenya,KEN,1998,10.3\nKenya,KEN,1999,9.95\nKenya,KEN,2000,9.52\nKenya,KEN,2001,9.05\nKenya,KEN,2002,8.56\nKenya,KEN,2003,8.08\nKenya,KEN,2004,7.61\nKenya,KEN,2005,7.12\nKenya,KEN,2006,6.68\nKenya,KEN,2007,6.29\nKenya,KEN,2008,5.8\nKenya,KEN,2009,5.52\nKenya,KEN,2010,5.31\nKenya,KEN,2011,5.17\nKenya,KEN,2012,5.07\nKenya,KEN,2013,4.94\nKenya,KEN,2014,4.83\nKenya,KEN,2015,4.68\nKenya,KEN,2016,4.55\nKenya,KEN,2017,4.47\nKenya,KEN,2018,4.37\nKenya,KEN,2019,4.27\nKenya,KEN,2020,4.21\nKenya,KEN,2021,4.13\nKenya,KEN,2022,4.05\nKenya,KEN,2023,3.96\nKenya,KEN,2024,3.88\n```\n\nIn which year shown does under-five mortality rate (selected) reach its highest value for Kenya?","response":"The series peaks in 1995, at 10.93 %. The lowest point shown is 2024, at 3.88 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nKenya,KEN,1995,10.93\nKenya,KEN,1996,10.8\nKenya,KEN,1997,10.59\nKenya,KEN,1998,10.3\nKenya,KEN,1999,9.95\nKenya,KEN,2000,9.52\nKenya,KEN,2001,9.05\nKenya,KEN,2002,8.56\nKenya,KEN,2003,8.08\nKenya,KEN,2004,7.61\nKenya,KEN,2005,7.12\nKenya,KEN,2006,6.68\nKenya,KEN,2007,6.29\nKenya,KEN,2008,5.8\nKenya,KEN,2009,5.52\nKenya,KEN,2010,5.31\nKenya,KEN,2011,5.17\nKenya,KEN,2012,5.07\nKenya,KEN,2013,4.94\nKenya,KEN,2014,4.83\nKenya,KEN,2015,4.68\nKenya,KEN,2016,4.55\nKenya,KEN,2017,4.47\nKenya,KEN,2018,4.37\nKenya,KEN,2019,4.27\nKenya,KEN,2020,4.21\nKenya,KEN,2021,4.13\nKenya,KEN,2022,4.05\nKenya,KEN,2023,3.96\nKenya,KEN,2024,3.88\n```\n\nHow much did under-five mortality rate (selected) change for Kenya between 1995 and 2024?","response":"It moved from 10.93 % in 1995 to 3.88 % in 2024, a change of -7.05 % (-64.50%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nKenya,KEN,1995,10.93\nKenya,KEN,1996,10.8\nKenya,KEN,1997,10.59\nKenya,KEN,1998,10.3\nKenya,KEN,1999,9.95\nKenya,KEN,2000,9.52\nKenya,KEN,2001,9.05\nKenya,KEN,2002,8.56\nKenya,KEN,2003,8.08\nKenya,KEN,2004,7.61\nKenya,KEN,2005,7.12\nKenya,KEN,2006,6.68\nKenya,KEN,2007,6.29\nKenya,KEN,2008,5.8\nKenya,KEN,2009,5.52\nKenya,KEN,2010,5.31\nKenya,KEN,2011,5.17\nKenya,KEN,2012,5.07\nKenya,KEN,2013,4.94\nKenya,KEN,2014,4.83\nKenya,KEN,2015,4.68\nKenya,KEN,2016,4.55\nKenya,KEN,2017,4.47\nKenya,KEN,2018,4.37\nKenya,KEN,2019,4.27\nKenya,KEN,2020,4.21\nKenya,KEN,2021,4.13\nKenya,KEN,2022,4.05\nKenya,KEN,2023,3.96\nKenya,KEN,2024,3.88\n```\n\nWas under-five mortality rate (selected) in Kenya higher in 2009 or 2021?","response":"Higher in 2009. The chart gives 5.52 % for 2009 and 4.13 % for 2021, a difference of 1.39 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nKenya,KEN,1995,10.93\nKenya,KEN,1996,10.8\nKenya,KEN,1997,10.59\nKenya,KEN,1998,10.3\nKenya,KEN,1999,9.95\nKenya,KEN,2000,9.52\nKenya,KEN,2001,9.05\nKenya,KEN,2002,8.56\nKenya,KEN,2003,8.08\nKenya,KEN,2004,7.61\nKenya,KEN,2005,7.12\nKenya,KEN,2006,6.68\nKenya,KEN,2007,6.29\nKenya,KEN,2008,5.8\nKenya,KEN,2009,5.52\nKenya,KEN,2010,5.31\nKenya,KEN,2011,5.17\nKenya,KEN,2012,5.07\nKenya,KEN,2013,4.94\nKenya,KEN,2014,4.83\nKenya,KEN,2015,4.68\nKenya,KEN,2016,4.55\nKenya,KEN,2017,4.47\nKenya,KEN,2018,4.37\nKenya,KEN,2019,4.27\nKenya,KEN,2020,4.21\nKenya,KEN,2021,4.13\nKenya,KEN,2022,4.05\nKenya,KEN,2023,3.96\nKenya,KEN,2024,3.88\n```\n\nAccording to this chart, what was under-five mortality rate (selected) in Kenya in 2004?","response":"Reading the plotted point for 2004, under-five mortality rate (selected) in Kenya was 7.61 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nKenya,KEN,1995,10.93\nKenya,KEN,1996,10.8\nKenya,KEN,1997,10.59\nKenya,KEN,1998,10.3\nKenya,KEN,1999,9.95\nKenya,KEN,2000,9.52\nKenya,KEN,2001,9.05\nKenya,KEN,2002,8.56\nKenya,KEN,2003,8.08\nKenya,KEN,2004,7.61\nKenya,KEN,2005,7.12\nKenya,KEN,2006,6.68\nKenya,KEN,2007,6.29\nKenya,KEN,2008,5.8\nKenya,KEN,2009,5.52\nKenya,KEN,2010,5.31\nKenya,KEN,2011,5.17\nKenya,KEN,2012,5.07\nKenya,KEN,2013,4.94\nKenya,KEN,2014,4.83\nKenya,KEN,2015,4.68\nKenya,KEN,2016,4.55\nKenya,KEN,2017,4.47\nKenya,KEN,2018,4.37\nKenya,KEN,2019,4.27\nKenya,KEN,2020,4.21\nKenya,KEN,2021,4.13\nKenya,KEN,2022,4.05\nKenya,KEN,2023,3.96\nKenya,KEN,2024,3.88\n```\n\nIn which year shown does under-five mortality rate (selected) reach its highest value for Kenya?","response":"The series peaks in 1995, at 10.93 %. The lowest point shown is 2024, at 3.88 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nKenya,KEN,1995,10.93\nKenya,KEN,1996,10.8\nKenya,KEN,1997,10.59\nKenya,KEN,1998,10.3\nKenya,KEN,1999,9.95\nKenya,KEN,2000,9.52\nKenya,KEN,2001,9.05\nKenya,KEN,2002,8.56\nKenya,KEN,2003,8.08\nKenya,KEN,2004,7.61\nKenya,KEN,2005,7.12\nKenya,KEN,2006,6.68\nKenya,KEN,2007,6.29\nKenya,KEN,2008,5.8\nKenya,KEN,2009,5.52\nKenya,KEN,2010,5.31\nKenya,KEN,2011,5.17\nKenya,KEN,2012,5.07\nKenya,KEN,2013,4.94\nKenya,KEN,2014,4.83\nKenya,KEN,2015,4.68\nKenya,KEN,2016,4.55\nKenya,KEN,2017,4.47\nKenya,KEN,2018,4.37\nKenya,KEN,2019,4.27\nKenya,KEN,2020,4.21\nKenya,KEN,2021,4.13\nKenya,KEN,2022,4.05\nKenya,KEN,2023,3.96\nKenya,KEN,2024,3.88\n```\n\nHow much did under-five mortality rate (selected) change for Kenya between 1995 and 2024?","response":"It moved from 10.93 % in 1995 to 3.88 % in 2024, a change of -7.05 % (-64.50%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nKenya,KEN,1995,10.93\nKenya,KEN,1996,10.8\nKenya,KEN,1997,10.59\nKenya,KEN,1998,10.3\nKenya,KEN,1999,9.95\nKenya,KEN,2000,9.52\nKenya,KEN,2001,9.05\nKenya,KEN,2002,8.56\nKenya,KEN,2003,8.08\nKenya,KEN,2004,7.61\nKenya,KEN,2005,7.12\nKenya,KEN,2006,6.68\nKenya,KEN,2007,6.29\nKenya,KEN,2008,5.8\nKenya,KEN,2009,5.52\nKenya,KEN,2010,5.31\nKenya,KEN,2011,5.17\nKenya,KEN,2012,5.07\nKenya,KEN,2013,4.94\nKenya,KEN,2014,4.83\nKenya,KEN,2015,4.68\nKenya,KEN,2016,4.55\nKenya,KEN,2017,4.47\nKenya,KEN,2018,4.37\nKenya,KEN,2019,4.27\nKenya,KEN,2020,4.21\nKenya,KEN,2021,4.13\nKenya,KEN,2022,4.05\nKenya,KEN,2023,3.96\nKenya,KEN,2024,3.88\n```\n\nWas under-five mortality rate (selected) in Kenya higher in 2009 or 2021?","response":"Higher in 2009. The chart gives 5.52 % for 2009 and 4.13 % for 2021, a difference of 1.39 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nKenya,KEN,1995,10.93\nKenya,KEN,1996,10.8\nKenya,KEN,1997,10.59\nKenya,KEN,1998,10.3\nKenya,KEN,1999,9.95\nKenya,KEN,2000,9.52\nKenya,KEN,2001,9.05\nKenya,KEN,2002,8.56\nKenya,KEN,2003,8.08\nKenya,KEN,2004,7.61\nKenya,KEN,2005,7.12\nKenya,KEN,2006,6.68\nKenya,KEN,2007,6.29\nKenya,KEN,2008,5.8\nKenya,KEN,2009,5.52\nKenya,KEN,2010,5.31\nKenya,KEN,2011,5.17\nKenya,KEN,2012,5.07\nKenya,KEN,2013,4.94\nKenya,KEN,2014,4.83\nKenya,KEN,2015,4.68\nKenya,KEN,2016,4.55\nKenya,KEN,2017,4.47\nKenya,KEN,2018,4.37\nKenya,KEN,2019,4.27\nKenya,KEN,2020,4.21\nKenya,KEN,2021,4.13\nKenya,KEN,2022,4.05\nKenya,KEN,2023,3.96\nKenya,KEN,2024,3.88\n```\n\nThis chart makes the change in under-five mortality rate (selected) for Kenya look dramatic. Is it?","response":"The values change by -64.50%, from 10.93 % to 3.88 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nKenya,KEN,1995,10.93\nKenya,KEN,1996,10.8\nKenya,KEN,1997,10.59\nKenya,KEN,1998,10.3\nKenya,KEN,1999,9.95\nKenya,KEN,2000,9.52\nKenya,KEN,2001,9.05\nKenya,KEN,2002,8.56\nKenya,KEN,2003,8.08\nKenya,KEN,2004,7.61\nKenya,KEN,2005,7.12\nKenya,KEN,2006,6.68\nKenya,KEN,2007,6.29\nKenya,KEN,2008,5.8\nKenya,KEN,2009,5.52\nKenya,KEN,2010,5.31\nKenya,KEN,2011,5.17\nKenya,KEN,2012,5.07\nKenya,KEN,2013,4.94\nKenya,KEN,2014,4.83\nKenya,KEN,2015,4.68\nKenya,KEN,2016,4.55\nKenya,KEN,2017,4.47\nKenya,KEN,2018,4.37\nKenya,KEN,2019,4.27\nKenya,KEN,2020,4.21\nKenya,KEN,2021,4.13\nKenya,KEN,2022,4.05\nKenya,KEN,2023,3.96\nKenya,KEN,2024,3.88\n```\n\nWhat was under-five mortality rate (selected) for Kenya in 1980?","response":"That year is outside this chart. The series runs 1995 to 2024, and 1980 falls before it begins, so there is no value to read. The earliest point available is 1995, at 10.93 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Kenya__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nMexico,MEX,1995,3.51\nMexico,MEX,1996,3.34\nMexico,MEX,1997,3.18\nMexico,MEX,1998,3.02\nMexico,MEX,1999,2.88\nMexico,MEX,2000,2.74\nMexico,MEX,2001,2.62\nMexico,MEX,2002,2.5\nMexico,MEX,2003,2.39\nMexico,MEX,2004,2.3\nMexico,MEX,2005,2.21\nMexico,MEX,2006,2.13\nMexico,MEX,2007,2.07\nMexico,MEX,2008,2.0\nMexico,MEX,2009,1.95\nMexico,MEX,2010,1.89\nMexico,MEX,2011,1.84\nMexico,MEX,2012,1.79\nMexico,MEX,2013,1.75\nMexico,MEX,2014,1.7\nMexico,MEX,2015,1.66\nMexico,MEX,2016,1.62\nMexico,MEX,2017,1.58\nMexico,MEX,2018,1.54\nMexico,MEX,2019,1.5\nMexico,MEX,2020,1.46\nMexico,MEX,2021,1.42\nMexico,MEX,2022,1.38\nMexico,MEX,2023,1.34\nMexico,MEX,2024,1.31\n```\n\nAccording to this chart, what was under-five mortality rate (selected) in Mexico in 2007?","response":"Reading the plotted point for 2007, under-five mortality rate (selected) in Mexico was 2.07 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nMexico,MEX,1995,3.51\nMexico,MEX,1996,3.34\nMexico,MEX,1997,3.18\nMexico,MEX,1998,3.02\nMexico,MEX,1999,2.88\nMexico,MEX,2000,2.74\nMexico,MEX,2001,2.62\nMexico,MEX,2002,2.5\nMexico,MEX,2003,2.39\nMexico,MEX,2004,2.3\nMexico,MEX,2005,2.21\nMexico,MEX,2006,2.13\nMexico,MEX,2007,2.07\nMexico,MEX,2008,2.0\nMexico,MEX,2009,1.95\nMexico,MEX,2010,1.89\nMexico,MEX,2011,1.84\nMexico,MEX,2012,1.79\nMexico,MEX,2013,1.75\nMexico,MEX,2014,1.7\nMexico,MEX,2015,1.66\nMexico,MEX,2016,1.62\nMexico,MEX,2017,1.58\nMexico,MEX,2018,1.54\nMexico,MEX,2019,1.5\nMexico,MEX,2020,1.46\nMexico,MEX,2021,1.42\nMexico,MEX,2022,1.38\nMexico,MEX,2023,1.34\nMexico,MEX,2024,1.31\n```\n\nIn which year shown does under-five mortality rate (selected) reach its highest value for Mexico?","response":"The series peaks in 1995, at 3.51 %. The lowest point shown is 2024, at 1.31 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nMexico,MEX,1995,3.51\nMexico,MEX,1996,3.34\nMexico,MEX,1997,3.18\nMexico,MEX,1998,3.02\nMexico,MEX,1999,2.88\nMexico,MEX,2000,2.74\nMexico,MEX,2001,2.62\nMexico,MEX,2002,2.5\nMexico,MEX,2003,2.39\nMexico,MEX,2004,2.3\nMexico,MEX,2005,2.21\nMexico,MEX,2006,2.13\nMexico,MEX,2007,2.07\nMexico,MEX,2008,2.0\nMexico,MEX,2009,1.95\nMexico,MEX,2010,1.89\nMexico,MEX,2011,1.84\nMexico,MEX,2012,1.79\nMexico,MEX,2013,1.75\nMexico,MEX,2014,1.7\nMexico,MEX,2015,1.66\nMexico,MEX,2016,1.62\nMexico,MEX,2017,1.58\nMexico,MEX,2018,1.54\nMexico,MEX,2019,1.5\nMexico,MEX,2020,1.46\nMexico,MEX,2021,1.42\nMexico,MEX,2022,1.38\nMexico,MEX,2023,1.34\nMexico,MEX,2024,1.31\n```\n\nHow much did under-five mortality rate (selected) change for Mexico between 1995 and 2024?","response":"It moved from 3.51 % in 1995 to 1.31 % in 2024, a change of -2.2 % (-62.68%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nMexico,MEX,1995,3.51\nMexico,MEX,1996,3.34\nMexico,MEX,1997,3.18\nMexico,MEX,1998,3.02\nMexico,MEX,1999,2.88\nMexico,MEX,2000,2.74\nMexico,MEX,2001,2.62\nMexico,MEX,2002,2.5\nMexico,MEX,2003,2.39\nMexico,MEX,2004,2.3\nMexico,MEX,2005,2.21\nMexico,MEX,2006,2.13\nMexico,MEX,2007,2.07\nMexico,MEX,2008,2.0\nMexico,MEX,2009,1.95\nMexico,MEX,2010,1.89\nMexico,MEX,2011,1.84\nMexico,MEX,2012,1.79\nMexico,MEX,2013,1.75\nMexico,MEX,2014,1.7\nMexico,MEX,2015,1.66\nMexico,MEX,2016,1.62\nMexico,MEX,2017,1.58\nMexico,MEX,2018,1.54\nMexico,MEX,2019,1.5\nMexico,MEX,2020,1.46\nMexico,MEX,2021,1.42\nMexico,MEX,2022,1.38\nMexico,MEX,2023,1.34\nMexico,MEX,2024,1.31\n```\n\nWas under-five mortality rate (selected) in Mexico higher in 1995 or 2019?","response":"Higher in 1995. The chart gives 3.51 % for 1995 and 1.5 % for 2019, a difference of 2.01 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nMexico,MEX,1995,3.51\nMexico,MEX,1996,3.34\nMexico,MEX,1997,3.18\nMexico,MEX,1998,3.02\nMexico,MEX,1999,2.88\nMexico,MEX,2000,2.74\nMexico,MEX,2001,2.62\nMexico,MEX,2002,2.5\nMexico,MEX,2003,2.39\nMexico,MEX,2004,2.3\nMexico,MEX,2005,2.21\nMexico,MEX,2006,2.13\nMexico,MEX,2007,2.07\nMexico,MEX,2008,2.0\nMexico,MEX,2009,1.95\nMexico,MEX,2010,1.89\nMexico,MEX,2011,1.84\nMexico,MEX,2012,1.79\nMexico,MEX,2013,1.75\nMexico,MEX,2014,1.7\nMexico,MEX,2015,1.66\nMexico,MEX,2016,1.62\nMexico,MEX,2017,1.58\nMexico,MEX,2018,1.54\nMexico,MEX,2019,1.5\nMexico,MEX,2020,1.46\nMexico,MEX,2021,1.42\nMexico,MEX,2022,1.38\nMexico,MEX,2023,1.34\nMexico,MEX,2024,1.31\n```\n\nAccording to this chart, what was under-five mortality rate (selected) in Mexico in 2007?","response":"Reading the plotted point for 2007, under-five mortality rate (selected) in Mexico was 2.07 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nMexico,MEX,1995,3.51\nMexico,MEX,1996,3.34\nMexico,MEX,1997,3.18\nMexico,MEX,1998,3.02\nMexico,MEX,1999,2.88\nMexico,MEX,2000,2.74\nMexico,MEX,2001,2.62\nMexico,MEX,2002,2.5\nMexico,MEX,2003,2.39\nMexico,MEX,2004,2.3\nMexico,MEX,2005,2.21\nMexico,MEX,2006,2.13\nMexico,MEX,2007,2.07\nMexico,MEX,2008,2.0\nMexico,MEX,2009,1.95\nMexico,MEX,2010,1.89\nMexico,MEX,2011,1.84\nMexico,MEX,2012,1.79\nMexico,MEX,2013,1.75\nMexico,MEX,2014,1.7\nMexico,MEX,2015,1.66\nMexico,MEX,2016,1.62\nMexico,MEX,2017,1.58\nMexico,MEX,2018,1.54\nMexico,MEX,2019,1.5\nMexico,MEX,2020,1.46\nMexico,MEX,2021,1.42\nMexico,MEX,2022,1.38\nMexico,MEX,2023,1.34\nMexico,MEX,2024,1.31\n```\n\nIn which year shown does under-five mortality rate (selected) reach its highest value for Mexico?","response":"The series peaks in 1995, at 3.51 %. The lowest point shown is 2024, at 1.31 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nMexico,MEX,1995,3.51\nMexico,MEX,1996,3.34\nMexico,MEX,1997,3.18\nMexico,MEX,1998,3.02\nMexico,MEX,1999,2.88\nMexico,MEX,2000,2.74\nMexico,MEX,2001,2.62\nMexico,MEX,2002,2.5\nMexico,MEX,2003,2.39\nMexico,MEX,2004,2.3\nMexico,MEX,2005,2.21\nMexico,MEX,2006,2.13\nMexico,MEX,2007,2.07\nMexico,MEX,2008,2.0\nMexico,MEX,2009,1.95\nMexico,MEX,2010,1.89\nMexico,MEX,2011,1.84\nMexico,MEX,2012,1.79\nMexico,MEX,2013,1.75\nMexico,MEX,2014,1.7\nMexico,MEX,2015,1.66\nMexico,MEX,2016,1.62\nMexico,MEX,2017,1.58\nMexico,MEX,2018,1.54\nMexico,MEX,2019,1.5\nMexico,MEX,2020,1.46\nMexico,MEX,2021,1.42\nMexico,MEX,2022,1.38\nMexico,MEX,2023,1.34\nMexico,MEX,2024,1.31\n```\n\nHow much did under-five mortality rate (selected) change for Mexico between 1995 and 2024?","response":"It moved from 3.51 % in 1995 to 1.31 % in 2024, a change of -2.2 % (-62.68%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nMexico,MEX,1995,3.51\nMexico,MEX,1996,3.34\nMexico,MEX,1997,3.18\nMexico,MEX,1998,3.02\nMexico,MEX,1999,2.88\nMexico,MEX,2000,2.74\nMexico,MEX,2001,2.62\nMexico,MEX,2002,2.5\nMexico,MEX,2003,2.39\nMexico,MEX,2004,2.3\nMexico,MEX,2005,2.21\nMexico,MEX,2006,2.13\nMexico,MEX,2007,2.07\nMexico,MEX,2008,2.0\nMexico,MEX,2009,1.95\nMexico,MEX,2010,1.89\nMexico,MEX,2011,1.84\nMexico,MEX,2012,1.79\nMexico,MEX,2013,1.75\nMexico,MEX,2014,1.7\nMexico,MEX,2015,1.66\nMexico,MEX,2016,1.62\nMexico,MEX,2017,1.58\nMexico,MEX,2018,1.54\nMexico,MEX,2019,1.5\nMexico,MEX,2020,1.46\nMexico,MEX,2021,1.42\nMexico,MEX,2022,1.38\nMexico,MEX,2023,1.34\nMexico,MEX,2024,1.31\n```\n\nWas under-five mortality rate (selected) in Mexico higher in 1995 or 2019?","response":"Higher in 1995. The chart gives 3.51 % for 1995 and 1.5 % for 2019, a difference of 2.01 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nMexico,MEX,1995,3.51\nMexico,MEX,1996,3.34\nMexico,MEX,1997,3.18\nMexico,MEX,1998,3.02\nMexico,MEX,1999,2.88\nMexico,MEX,2000,2.74\nMexico,MEX,2001,2.62\nMexico,MEX,2002,2.5\nMexico,MEX,2003,2.39\nMexico,MEX,2004,2.3\nMexico,MEX,2005,2.21\nMexico,MEX,2006,2.13\nMexico,MEX,2007,2.07\nMexico,MEX,2008,2.0\nMexico,MEX,2009,1.95\nMexico,MEX,2010,1.89\nMexico,MEX,2011,1.84\nMexico,MEX,2012,1.79\nMexico,MEX,2013,1.75\nMexico,MEX,2014,1.7\nMexico,MEX,2015,1.66\nMexico,MEX,2016,1.62\nMexico,MEX,2017,1.58\nMexico,MEX,2018,1.54\nMexico,MEX,2019,1.5\nMexico,MEX,2020,1.46\nMexico,MEX,2021,1.42\nMexico,MEX,2022,1.38\nMexico,MEX,2023,1.34\nMexico,MEX,2024,1.31\n```\n\nBased on this chart, is under-five mortality rate (selected) in Mexico rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 3.51 % to 1.31 %, a change of -62.68%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nMexico,MEX,1995,3.51\nMexico,MEX,1996,3.34\nMexico,MEX,1997,3.18\nMexico,MEX,1998,3.02\nMexico,MEX,1999,2.88\nMexico,MEX,2000,2.74\nMexico,MEX,2001,2.62\nMexico,MEX,2002,2.5\nMexico,MEX,2003,2.39\nMexico,MEX,2004,2.3\nMexico,MEX,2005,2.21\nMexico,MEX,2006,2.13\nMexico,MEX,2007,2.07\nMexico,MEX,2008,2.0\nMexico,MEX,2009,1.95\nMexico,MEX,2010,1.89\nMexico,MEX,2011,1.84\nMexico,MEX,2012,1.79\nMexico,MEX,2013,1.75\nMexico,MEX,2014,1.7\nMexico,MEX,2015,1.66\nMexico,MEX,2016,1.62\nMexico,MEX,2017,1.58\nMexico,MEX,2018,1.54\nMexico,MEX,2019,1.5\nMexico,MEX,2020,1.46\nMexico,MEX,2021,1.42\nMexico,MEX,2022,1.38\nMexico,MEX,2023,1.34\nMexico,MEX,2024,1.31\n```\n\nHow does Mexico compare with Viet Nam on this measure?","response":"This chart covers Mexico only, so Viet Nam is not plotted and I cannot compare them from it. The chart does support statements about Mexico on its own: the series runs from 3.51 % in 1995 to 1.31 % in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Mexico__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nTurkey,TUR,1995,5.34\nTurkey,TUR,1996,4.98\nTurkey,TUR,1997,4.64\nTurkey,TUR,1998,4.31\nTurkey,TUR,1999,4.01\nTurkey,TUR,2000,3.72\nTurkey,TUR,2001,3.45\nTurkey,TUR,2002,3.2\nTurkey,TUR,2003,2.96\nTurkey,TUR,2004,2.74\nTurkey,TUR,2005,2.53\nTurkey,TUR,2006,2.35\nTurkey,TUR,2007,2.18\nTurkey,TUR,2008,2.03\nTurkey,TUR,2009,1.89\nTurkey,TUR,2010,1.76\nTurkey,TUR,2011,1.66\nTurkey,TUR,2012,1.56\nTurkey,TUR,2013,1.47\nTurkey,TUR,2014,1.4\nTurkey,TUR,2015,1.33\nTurkey,TUR,2016,1.27\nTurkey,TUR,2017,1.22\nTurkey,TUR,2018,1.17\nTurkey,TUR,2019,1.13\nTurkey,TUR,2020,1.09\nTurkey,TUR,2021,1.06\nTurkey,TUR,2022,1.02\nTurkey,TUR,2023,1.38\nTurkey,TUR,2024,0.96\n```\n\nAccording to this chart, what was under-five mortality rate (selected) in Turkey in 2022?","response":"Reading the plotted point for 2022, under-five mortality rate (selected) in Turkey was 1.02 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nTurkey,TUR,1995,5.34\nTurkey,TUR,1996,4.98\nTurkey,TUR,1997,4.64\nTurkey,TUR,1998,4.31\nTurkey,TUR,1999,4.01\nTurkey,TUR,2000,3.72\nTurkey,TUR,2001,3.45\nTurkey,TUR,2002,3.2\nTurkey,TUR,2003,2.96\nTurkey,TUR,2004,2.74\nTurkey,TUR,2005,2.53\nTurkey,TUR,2006,2.35\nTurkey,TUR,2007,2.18\nTurkey,TUR,2008,2.03\nTurkey,TUR,2009,1.89\nTurkey,TUR,2010,1.76\nTurkey,TUR,2011,1.66\nTurkey,TUR,2012,1.56\nTurkey,TUR,2013,1.47\nTurkey,TUR,2014,1.4\nTurkey,TUR,2015,1.33\nTurkey,TUR,2016,1.27\nTurkey,TUR,2017,1.22\nTurkey,TUR,2018,1.17\nTurkey,TUR,2019,1.13\nTurkey,TUR,2020,1.09\nTurkey,TUR,2021,1.06\nTurkey,TUR,2022,1.02\nTurkey,TUR,2023,1.38\nTurkey,TUR,2024,0.96\n```\n\nIn which year shown does under-five mortality rate (selected) reach its highest value for Turkey?","response":"The series peaks in 1995, at 5.34 %. The lowest point shown is 2024, at 0.96 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nTurkey,TUR,1995,5.34\nTurkey,TUR,1996,4.98\nTurkey,TUR,1997,4.64\nTurkey,TUR,1998,4.31\nTurkey,TUR,1999,4.01\nTurkey,TUR,2000,3.72\nTurkey,TUR,2001,3.45\nTurkey,TUR,2002,3.2\nTurkey,TUR,2003,2.96\nTurkey,TUR,2004,2.74\nTurkey,TUR,2005,2.53\nTurkey,TUR,2006,2.35\nTurkey,TUR,2007,2.18\nTurkey,TUR,2008,2.03\nTurkey,TUR,2009,1.89\nTurkey,TUR,2010,1.76\nTurkey,TUR,2011,1.66\nTurkey,TUR,2012,1.56\nTurkey,TUR,2013,1.47\nTurkey,TUR,2014,1.4\nTurkey,TUR,2015,1.33\nTurkey,TUR,2016,1.27\nTurkey,TUR,2017,1.22\nTurkey,TUR,2018,1.17\nTurkey,TUR,2019,1.13\nTurkey,TUR,2020,1.09\nTurkey,TUR,2021,1.06\nTurkey,TUR,2022,1.02\nTurkey,TUR,2023,1.38\nTurkey,TUR,2024,0.96\n```\n\nHow much did under-five mortality rate (selected) change for Turkey between 1995 and 2024?","response":"It moved from 5.34 % in 1995 to 0.96 % in 2024, a change of -4.38 % (-82.02%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nTurkey,TUR,1995,5.34\nTurkey,TUR,1996,4.98\nTurkey,TUR,1997,4.64\nTurkey,TUR,1998,4.31\nTurkey,TUR,1999,4.01\nTurkey,TUR,2000,3.72\nTurkey,TUR,2001,3.45\nTurkey,TUR,2002,3.2\nTurkey,TUR,2003,2.96\nTurkey,TUR,2004,2.74\nTurkey,TUR,2005,2.53\nTurkey,TUR,2006,2.35\nTurkey,TUR,2007,2.18\nTurkey,TUR,2008,2.03\nTurkey,TUR,2009,1.89\nTurkey,TUR,2010,1.76\nTurkey,TUR,2011,1.66\nTurkey,TUR,2012,1.56\nTurkey,TUR,2013,1.47\nTurkey,TUR,2014,1.4\nTurkey,TUR,2015,1.33\nTurkey,TUR,2016,1.27\nTurkey,TUR,2017,1.22\nTurkey,TUR,2018,1.17\nTurkey,TUR,2019,1.13\nTurkey,TUR,2020,1.09\nTurkey,TUR,2021,1.06\nTurkey,TUR,2022,1.02\nTurkey,TUR,2023,1.38\nTurkey,TUR,2024,0.96\n```\n\nWas under-five mortality rate (selected) in Turkey higher in 2003 or 2016?","response":"Higher in 2003. The chart gives 2.96 % for 2003 and 1.27 % for 2016, a difference of 1.69 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nTurkey,TUR,1995,5.34\nTurkey,TUR,1996,4.98\nTurkey,TUR,1997,4.64\nTurkey,TUR,1998,4.31\nTurkey,TUR,1999,4.01\nTurkey,TUR,2000,3.72\nTurkey,TUR,2001,3.45\nTurkey,TUR,2002,3.2\nTurkey,TUR,2003,2.96\nTurkey,TUR,2004,2.74\nTurkey,TUR,2005,2.53\nTurkey,TUR,2006,2.35\nTurkey,TUR,2007,2.18\nTurkey,TUR,2008,2.03\nTurkey,TUR,2009,1.89\nTurkey,TUR,2010,1.76\nTurkey,TUR,2011,1.66\nTurkey,TUR,2012,1.56\nTurkey,TUR,2013,1.47\nTurkey,TUR,2014,1.4\nTurkey,TUR,2015,1.33\nTurkey,TUR,2016,1.27\nTurkey,TUR,2017,1.22\nTurkey,TUR,2018,1.17\nTurkey,TUR,2019,1.13\nTurkey,TUR,2020,1.09\nTurkey,TUR,2021,1.06\nTurkey,TUR,2022,1.02\nTurkey,TUR,2023,1.38\nTurkey,TUR,2024,0.96\n```\n\nAccording to this chart, what was under-five mortality rate (selected) in Turkey in 2022?","response":"Reading the plotted point for 2022, under-five mortality rate (selected) in Turkey was 1.02 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nTurkey,TUR,1995,5.34\nTurkey,TUR,1996,4.98\nTurkey,TUR,1997,4.64\nTurkey,TUR,1998,4.31\nTurkey,TUR,1999,4.01\nTurkey,TUR,2000,3.72\nTurkey,TUR,2001,3.45\nTurkey,TUR,2002,3.2\nTurkey,TUR,2003,2.96\nTurkey,TUR,2004,2.74\nTurkey,TUR,2005,2.53\nTurkey,TUR,2006,2.35\nTurkey,TUR,2007,2.18\nTurkey,TUR,2008,2.03\nTurkey,TUR,2009,1.89\nTurkey,TUR,2010,1.76\nTurkey,TUR,2011,1.66\nTurkey,TUR,2012,1.56\nTurkey,TUR,2013,1.47\nTurkey,TUR,2014,1.4\nTurkey,TUR,2015,1.33\nTurkey,TUR,2016,1.27\nTurkey,TUR,2017,1.22\nTurkey,TUR,2018,1.17\nTurkey,TUR,2019,1.13\nTurkey,TUR,2020,1.09\nTurkey,TUR,2021,1.06\nTurkey,TUR,2022,1.02\nTurkey,TUR,2023,1.38\nTurkey,TUR,2024,0.96\n```\n\nIn which year shown does under-five mortality rate (selected) reach its highest value for Turkey?","response":"The series peaks in 1995, at 5.34 %. The lowest point shown is 2024, at 0.96 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nTurkey,TUR,1995,5.34\nTurkey,TUR,1996,4.98\nTurkey,TUR,1997,4.64\nTurkey,TUR,1998,4.31\nTurkey,TUR,1999,4.01\nTurkey,TUR,2000,3.72\nTurkey,TUR,2001,3.45\nTurkey,TUR,2002,3.2\nTurkey,TUR,2003,2.96\nTurkey,TUR,2004,2.74\nTurkey,TUR,2005,2.53\nTurkey,TUR,2006,2.35\nTurkey,TUR,2007,2.18\nTurkey,TUR,2008,2.03\nTurkey,TUR,2009,1.89\nTurkey,TUR,2010,1.76\nTurkey,TUR,2011,1.66\nTurkey,TUR,2012,1.56\nTurkey,TUR,2013,1.47\nTurkey,TUR,2014,1.4\nTurkey,TUR,2015,1.33\nTurkey,TUR,2016,1.27\nTurkey,TUR,2017,1.22\nTurkey,TUR,2018,1.17\nTurkey,TUR,2019,1.13\nTurkey,TUR,2020,1.09\nTurkey,TUR,2021,1.06\nTurkey,TUR,2022,1.02\nTurkey,TUR,2023,1.38\nTurkey,TUR,2024,0.96\n```\n\nHow much did under-five mortality rate (selected) change for Turkey between 1995 and 2024?","response":"It moved from 5.34 % in 1995 to 0.96 % in 2024, a change of -4.38 % (-82.02%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nTurkey,TUR,1995,5.34\nTurkey,TUR,1996,4.98\nTurkey,TUR,1997,4.64\nTurkey,TUR,1998,4.31\nTurkey,TUR,1999,4.01\nTurkey,TUR,2000,3.72\nTurkey,TUR,2001,3.45\nTurkey,TUR,2002,3.2\nTurkey,TUR,2003,2.96\nTurkey,TUR,2004,2.74\nTurkey,TUR,2005,2.53\nTurkey,TUR,2006,2.35\nTurkey,TUR,2007,2.18\nTurkey,TUR,2008,2.03\nTurkey,TUR,2009,1.89\nTurkey,TUR,2010,1.76\nTurkey,TUR,2011,1.66\nTurkey,TUR,2012,1.56\nTurkey,TUR,2013,1.47\nTurkey,TUR,2014,1.4\nTurkey,TUR,2015,1.33\nTurkey,TUR,2016,1.27\nTurkey,TUR,2017,1.22\nTurkey,TUR,2018,1.17\nTurkey,TUR,2019,1.13\nTurkey,TUR,2020,1.09\nTurkey,TUR,2021,1.06\nTurkey,TUR,2022,1.02\nTurkey,TUR,2023,1.38\nTurkey,TUR,2024,0.96\n```\n\nWas under-five mortality rate (selected) in Turkey higher in 2003 or 2016?","response":"Higher in 2003. The chart gives 2.96 % for 2003 and 1.27 % for 2016, a difference of 1.69 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nTurkey,TUR,1995,5.34\nTurkey,TUR,1996,4.98\nTurkey,TUR,1997,4.64\nTurkey,TUR,1998,4.31\nTurkey,TUR,1999,4.01\nTurkey,TUR,2000,3.72\nTurkey,TUR,2001,3.45\nTurkey,TUR,2002,3.2\nTurkey,TUR,2003,2.96\nTurkey,TUR,2004,2.74\nTurkey,TUR,2005,2.53\nTurkey,TUR,2006,2.35\nTurkey,TUR,2007,2.18\nTurkey,TUR,2008,2.03\nTurkey,TUR,2009,1.89\nTurkey,TUR,2010,1.76\nTurkey,TUR,2011,1.66\nTurkey,TUR,2012,1.56\nTurkey,TUR,2013,1.47\nTurkey,TUR,2014,1.4\nTurkey,TUR,2015,1.33\nTurkey,TUR,2016,1.27\nTurkey,TUR,2017,1.22\nTurkey,TUR,2018,1.17\nTurkey,TUR,2019,1.13\nTurkey,TUR,2020,1.09\nTurkey,TUR,2021,1.06\nTurkey,TUR,2022,1.02\nTurkey,TUR,2023,1.38\nTurkey,TUR,2024,0.96\n```\n\nBased on this chart, is under-five mortality rate (selected) in Turkey rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 5.34 % to 0.96 %, a change of -82.02%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nTurkey,TUR,1995,5.34\nTurkey,TUR,1996,4.98\nTurkey,TUR,1997,4.64\nTurkey,TUR,1998,4.31\nTurkey,TUR,1999,4.01\nTurkey,TUR,2000,3.72\nTurkey,TUR,2001,3.45\nTurkey,TUR,2002,3.2\nTurkey,TUR,2003,2.96\nTurkey,TUR,2004,2.74\nTurkey,TUR,2005,2.53\nTurkey,TUR,2006,2.35\nTurkey,TUR,2007,2.18\nTurkey,TUR,2008,2.03\nTurkey,TUR,2009,1.89\nTurkey,TUR,2010,1.76\nTurkey,TUR,2011,1.66\nTurkey,TUR,2012,1.56\nTurkey,TUR,2013,1.47\nTurkey,TUR,2014,1.4\nTurkey,TUR,2015,1.33\nTurkey,TUR,2016,1.27\nTurkey,TUR,2017,1.22\nTurkey,TUR,2018,1.17\nTurkey,TUR,2019,1.13\nTurkey,TUR,2020,1.09\nTurkey,TUR,2021,1.06\nTurkey,TUR,2022,1.02\nTurkey,TUR,2023,1.38\nTurkey,TUR,2024,0.96\n```\n\nWhat was under-five mortality rate (selected) for Turkey in 1980?","response":"That year is outside this chart. The series runs 1995 to 2024, and 1980 falls before it begins, so there is no value to read. The earliest point available is 1995, at 5.34 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Turkey__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nVietnam,VNM,1995,3.94\nVietnam,VNM,1996,3.72\nVietnam,VNM,1997,3.52\nVietnam,VNM,1998,3.34\nVietnam,VNM,1999,3.18\nVietnam,VNM,2000,3.03\nVietnam,VNM,2001,2.9\nVietnam,VNM,2002,2.79\nVietnam,VNM,2003,2.69\nVietnam,VNM,2004,2.61\nVietnam,VNM,2005,2.54\nVietnam,VNM,2006,2.48\nVietnam,VNM,2007,2.43\nVietnam,VNM,2008,2.38\nVietnam,VNM,2009,2.34\nVietnam,VNM,2010,2.31\nVietnam,VNM,2011,2.28\nVietnam,VNM,2012,2.25\nVietnam,VNM,2013,2.23\nVietnam,VNM,2014,2.2\nVietnam,VNM,2015,2.16\nVietnam,VNM,2016,2.13\nVietnam,VNM,2017,2.09\nVietnam,VNM,2018,2.05\nVietnam,VNM,2019,2.0\nVietnam,VNM,2020,1.95\nVietnam,VNM,2021,1.89\nVietnam,VNM,2022,1.84\nVietnam,VNM,2023,1.78\nVietnam,VNM,2024,1.73\n```\n\nAccording to this chart, what was under-five mortality rate (selected) in Vietnam in 2022?","response":"Reading the plotted point for 2022, under-five mortality rate (selected) in Vietnam was 1.84 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nVietnam,VNM,1995,3.94\nVietnam,VNM,1996,3.72\nVietnam,VNM,1997,3.52\nVietnam,VNM,1998,3.34\nVietnam,VNM,1999,3.18\nVietnam,VNM,2000,3.03\nVietnam,VNM,2001,2.9\nVietnam,VNM,2002,2.79\nVietnam,VNM,2003,2.69\nVietnam,VNM,2004,2.61\nVietnam,VNM,2005,2.54\nVietnam,VNM,2006,2.48\nVietnam,VNM,2007,2.43\nVietnam,VNM,2008,2.38\nVietnam,VNM,2009,2.34\nVietnam,VNM,2010,2.31\nVietnam,VNM,2011,2.28\nVietnam,VNM,2012,2.25\nVietnam,VNM,2013,2.23\nVietnam,VNM,2014,2.2\nVietnam,VNM,2015,2.16\nVietnam,VNM,2016,2.13\nVietnam,VNM,2017,2.09\nVietnam,VNM,2018,2.05\nVietnam,VNM,2019,2.0\nVietnam,VNM,2020,1.95\nVietnam,VNM,2021,1.89\nVietnam,VNM,2022,1.84\nVietnam,VNM,2023,1.78\nVietnam,VNM,2024,1.73\n```\n\nIn which year shown does under-five mortality rate (selected) reach its highest value for Vietnam?","response":"The series peaks in 1995, at 3.94 %. The lowest point shown is 2024, at 1.73 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nVietnam,VNM,1995,3.94\nVietnam,VNM,1996,3.72\nVietnam,VNM,1997,3.52\nVietnam,VNM,1998,3.34\nVietnam,VNM,1999,3.18\nVietnam,VNM,2000,3.03\nVietnam,VNM,2001,2.9\nVietnam,VNM,2002,2.79\nVietnam,VNM,2003,2.69\nVietnam,VNM,2004,2.61\nVietnam,VNM,2005,2.54\nVietnam,VNM,2006,2.48\nVietnam,VNM,2007,2.43\nVietnam,VNM,2008,2.38\nVietnam,VNM,2009,2.34\nVietnam,VNM,2010,2.31\nVietnam,VNM,2011,2.28\nVietnam,VNM,2012,2.25\nVietnam,VNM,2013,2.23\nVietnam,VNM,2014,2.2\nVietnam,VNM,2015,2.16\nVietnam,VNM,2016,2.13\nVietnam,VNM,2017,2.09\nVietnam,VNM,2018,2.05\nVietnam,VNM,2019,2.0\nVietnam,VNM,2020,1.95\nVietnam,VNM,2021,1.89\nVietnam,VNM,2022,1.84\nVietnam,VNM,2023,1.78\nVietnam,VNM,2024,1.73\n```\n\nHow much did under-five mortality rate (selected) change for Vietnam between 1995 and 2024?","response":"It moved from 3.94 % in 1995 to 1.73 % in 2024, a change of -2.21 % (-56.09%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nVietnam,VNM,1995,3.94\nVietnam,VNM,1996,3.72\nVietnam,VNM,1997,3.52\nVietnam,VNM,1998,3.34\nVietnam,VNM,1999,3.18\nVietnam,VNM,2000,3.03\nVietnam,VNM,2001,2.9\nVietnam,VNM,2002,2.79\nVietnam,VNM,2003,2.69\nVietnam,VNM,2004,2.61\nVietnam,VNM,2005,2.54\nVietnam,VNM,2006,2.48\nVietnam,VNM,2007,2.43\nVietnam,VNM,2008,2.38\nVietnam,VNM,2009,2.34\nVietnam,VNM,2010,2.31\nVietnam,VNM,2011,2.28\nVietnam,VNM,2012,2.25\nVietnam,VNM,2013,2.23\nVietnam,VNM,2014,2.2\nVietnam,VNM,2015,2.16\nVietnam,VNM,2016,2.13\nVietnam,VNM,2017,2.09\nVietnam,VNM,2018,2.05\nVietnam,VNM,2019,2.0\nVietnam,VNM,2020,1.95\nVietnam,VNM,2021,1.89\nVietnam,VNM,2022,1.84\nVietnam,VNM,2023,1.78\nVietnam,VNM,2024,1.73\n```\n\nWas under-five mortality rate (selected) in Vietnam higher in 2002 or 2013?","response":"Higher in 2002. The chart gives 2.79 % for 2002 and 2.23 % for 2013, a difference of 0.56 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nVietnam,VNM,1995,3.94\nVietnam,VNM,1996,3.72\nVietnam,VNM,1997,3.52\nVietnam,VNM,1998,3.34\nVietnam,VNM,1999,3.18\nVietnam,VNM,2000,3.03\nVietnam,VNM,2001,2.9\nVietnam,VNM,2002,2.79\nVietnam,VNM,2003,2.69\nVietnam,VNM,2004,2.61\nVietnam,VNM,2005,2.54\nVietnam,VNM,2006,2.48\nVietnam,VNM,2007,2.43\nVietnam,VNM,2008,2.38\nVietnam,VNM,2009,2.34\nVietnam,VNM,2010,2.31\nVietnam,VNM,2011,2.28\nVietnam,VNM,2012,2.25\nVietnam,VNM,2013,2.23\nVietnam,VNM,2014,2.2\nVietnam,VNM,2015,2.16\nVietnam,VNM,2016,2.13\nVietnam,VNM,2017,2.09\nVietnam,VNM,2018,2.05\nVietnam,VNM,2019,2.0\nVietnam,VNM,2020,1.95\nVietnam,VNM,2021,1.89\nVietnam,VNM,2022,1.84\nVietnam,VNM,2023,1.78\nVietnam,VNM,2024,1.73\n```\n\nAccording to this chart, what was under-five mortality rate (selected) in Vietnam in 2022?","response":"Reading the plotted point for 2022, under-five mortality rate (selected) in Vietnam was 1.84 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nVietnam,VNM,1995,3.94\nVietnam,VNM,1996,3.72\nVietnam,VNM,1997,3.52\nVietnam,VNM,1998,3.34\nVietnam,VNM,1999,3.18\nVietnam,VNM,2000,3.03\nVietnam,VNM,2001,2.9\nVietnam,VNM,2002,2.79\nVietnam,VNM,2003,2.69\nVietnam,VNM,2004,2.61\nVietnam,VNM,2005,2.54\nVietnam,VNM,2006,2.48\nVietnam,VNM,2007,2.43\nVietnam,VNM,2008,2.38\nVietnam,VNM,2009,2.34\nVietnam,VNM,2010,2.31\nVietnam,VNM,2011,2.28\nVietnam,VNM,2012,2.25\nVietnam,VNM,2013,2.23\nVietnam,VNM,2014,2.2\nVietnam,VNM,2015,2.16\nVietnam,VNM,2016,2.13\nVietnam,VNM,2017,2.09\nVietnam,VNM,2018,2.05\nVietnam,VNM,2019,2.0\nVietnam,VNM,2020,1.95\nVietnam,VNM,2021,1.89\nVietnam,VNM,2022,1.84\nVietnam,VNM,2023,1.78\nVietnam,VNM,2024,1.73\n```\n\nIn which year shown does under-five mortality rate (selected) reach its highest value for Vietnam?","response":"The series peaks in 1995, at 3.94 %. The lowest point shown is 2024, at 1.73 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nVietnam,VNM,1995,3.94\nVietnam,VNM,1996,3.72\nVietnam,VNM,1997,3.52\nVietnam,VNM,1998,3.34\nVietnam,VNM,1999,3.18\nVietnam,VNM,2000,3.03\nVietnam,VNM,2001,2.9\nVietnam,VNM,2002,2.79\nVietnam,VNM,2003,2.69\nVietnam,VNM,2004,2.61\nVietnam,VNM,2005,2.54\nVietnam,VNM,2006,2.48\nVietnam,VNM,2007,2.43\nVietnam,VNM,2008,2.38\nVietnam,VNM,2009,2.34\nVietnam,VNM,2010,2.31\nVietnam,VNM,2011,2.28\nVietnam,VNM,2012,2.25\nVietnam,VNM,2013,2.23\nVietnam,VNM,2014,2.2\nVietnam,VNM,2015,2.16\nVietnam,VNM,2016,2.13\nVietnam,VNM,2017,2.09\nVietnam,VNM,2018,2.05\nVietnam,VNM,2019,2.0\nVietnam,VNM,2020,1.95\nVietnam,VNM,2021,1.89\nVietnam,VNM,2022,1.84\nVietnam,VNM,2023,1.78\nVietnam,VNM,2024,1.73\n```\n\nHow much did under-five mortality rate (selected) change for Vietnam between 1995 and 2024?","response":"It moved from 3.94 % in 1995 to 1.73 % in 2024, a change of -2.21 % (-56.09%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nVietnam,VNM,1995,3.94\nVietnam,VNM,1996,3.72\nVietnam,VNM,1997,3.52\nVietnam,VNM,1998,3.34\nVietnam,VNM,1999,3.18\nVietnam,VNM,2000,3.03\nVietnam,VNM,2001,2.9\nVietnam,VNM,2002,2.79\nVietnam,VNM,2003,2.69\nVietnam,VNM,2004,2.61\nVietnam,VNM,2005,2.54\nVietnam,VNM,2006,2.48\nVietnam,VNM,2007,2.43\nVietnam,VNM,2008,2.38\nVietnam,VNM,2009,2.34\nVietnam,VNM,2010,2.31\nVietnam,VNM,2011,2.28\nVietnam,VNM,2012,2.25\nVietnam,VNM,2013,2.23\nVietnam,VNM,2014,2.2\nVietnam,VNM,2015,2.16\nVietnam,VNM,2016,2.13\nVietnam,VNM,2017,2.09\nVietnam,VNM,2018,2.05\nVietnam,VNM,2019,2.0\nVietnam,VNM,2020,1.95\nVietnam,VNM,2021,1.89\nVietnam,VNM,2022,1.84\nVietnam,VNM,2023,1.78\nVietnam,VNM,2024,1.73\n```\n\nWas under-five mortality rate (selected) in Vietnam higher in 2002 or 2013?","response":"Higher in 2002. The chart gives 2.79 % for 2002 and 2.23 % for 2013, a difference of 0.56 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nVietnam,VNM,1995,3.94\nVietnam,VNM,1996,3.72\nVietnam,VNM,1997,3.52\nVietnam,VNM,1998,3.34\nVietnam,VNM,1999,3.18\nVietnam,VNM,2000,3.03\nVietnam,VNM,2001,2.9\nVietnam,VNM,2002,2.79\nVietnam,VNM,2003,2.69\nVietnam,VNM,2004,2.61\nVietnam,VNM,2005,2.54\nVietnam,VNM,2006,2.48\nVietnam,VNM,2007,2.43\nVietnam,VNM,2008,2.38\nVietnam,VNM,2009,2.34\nVietnam,VNM,2010,2.31\nVietnam,VNM,2011,2.28\nVietnam,VNM,2012,2.25\nVietnam,VNM,2013,2.23\nVietnam,VNM,2014,2.2\nVietnam,VNM,2015,2.16\nVietnam,VNM,2016,2.13\nVietnam,VNM,2017,2.09\nVietnam,VNM,2018,2.05\nVietnam,VNM,2019,2.0\nVietnam,VNM,2020,1.95\nVietnam,VNM,2021,1.89\nVietnam,VNM,2022,1.84\nVietnam,VNM,2023,1.78\nVietnam,VNM,2024,1.73\n```\n\nBased on this chart, is under-five mortality rate (selected) in Vietnam rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 3.94 % to 1.73 %, a change of -56.09%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nVietnam,VNM,1995,3.94\nVietnam,VNM,1996,3.72\nVietnam,VNM,1997,3.52\nVietnam,VNM,1998,3.34\nVietnam,VNM,1999,3.18\nVietnam,VNM,2000,3.03\nVietnam,VNM,2001,2.9\nVietnam,VNM,2002,2.79\nVietnam,VNM,2003,2.69\nVietnam,VNM,2004,2.61\nVietnam,VNM,2005,2.54\nVietnam,VNM,2006,2.48\nVietnam,VNM,2007,2.43\nVietnam,VNM,2008,2.38\nVietnam,VNM,2009,2.34\nVietnam,VNM,2010,2.31\nVietnam,VNM,2011,2.28\nVietnam,VNM,2012,2.25\nVietnam,VNM,2013,2.23\nVietnam,VNM,2014,2.2\nVietnam,VNM,2015,2.16\nVietnam,VNM,2016,2.13\nVietnam,VNM,2017,2.09\nVietnam,VNM,2018,2.05\nVietnam,VNM,2019,2.0\nVietnam,VNM,2020,1.95\nVietnam,VNM,2021,1.89\nVietnam,VNM,2022,1.84\nVietnam,VNM,2023,1.78\nVietnam,VNM,2024,1.73\n```\n\nThis chart makes the change in under-five mortality rate (selected) for Vietnam look dramatic. Is it?","response":"The values change by -56.09%, from 3.94 % to 1.73 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Under-five mortality rate (selected)\nVietnam,VNM,1995,3.94\nVietnam,VNM,1996,3.72\nVietnam,VNM,1997,3.52\nVietnam,VNM,1998,3.34\nVietnam,VNM,1999,3.18\nVietnam,VNM,2000,3.03\nVietnam,VNM,2001,2.9\nVietnam,VNM,2002,2.79\nVietnam,VNM,2003,2.69\nVietnam,VNM,2004,2.61\nVietnam,VNM,2005,2.54\nVietnam,VNM,2006,2.48\nVietnam,VNM,2007,2.43\nVietnam,VNM,2008,2.38\nVietnam,VNM,2009,2.34\nVietnam,VNM,2010,2.31\nVietnam,VNM,2011,2.28\nVietnam,VNM,2012,2.25\nVietnam,VNM,2013,2.23\nVietnam,VNM,2014,2.2\nVietnam,VNM,2015,2.16\nVietnam,VNM,2016,2.13\nVietnam,VNM,2017,2.09\nVietnam,VNM,2018,2.05\nVietnam,VNM,2019,2.0\nVietnam,VNM,2020,1.95\nVietnam,VNM,2021,1.89\nVietnam,VNM,2022,1.84\nVietnam,VNM,2023,1.78\nVietnam,VNM,2024,1.73\n```\n\nHow does Vietnam compare with Nigeria on this measure?","response":"This chart covers Vietnam only, so Nigeria is not plotted and I cannot compare them from it. The chart does support statements about Vietnam on its own: the series runs from 3.94 % in 1995 to 1.73 % in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/child-mortality__Vietnam__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Child mortality rate","source_citation":"Gapminder (2015); UN Inter-agency Group for Child Mortality Estimation (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/child-mortality?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nVietnam,VNM,1990,0.32514757\nVietnam,VNM,1991,0.31955397\nVietnam,VNM,1992,0.31447926\nVietnam,VNM,1993,0.32841194\nVietnam,VNM,1994,0.38617438\nVietnam,VNM,1995,0.41760576\nVietnam,VNM,1996,0.48500863\nVietnam,VNM,1997,0.6130133\nVietnam,VNM,1998,0.6356782\nVietnam,VNM,1999,0.63638675\nVietnam,VNM,2000,0.69906235\nVietnam,VNM,2001,0.78214556\nVietnam,VNM,2002,0.8826836\nVietnam,VNM,2003,0.9710582\nVietnam,VNM,2004,1.107049\nVietnam,VNM,2005,1.1819466\nVietnam,VNM,2006,1.2128327\nVietnam,VNM,2007,1.2128248\nVietnam,VNM,2008,1.3419256\nVietnam,VNM,2009,1.4398954\nVietnam,VNM,2010,1.5958333\nVietnam,VNM,2011,1.7245036\nVietnam,VNM,2012,1.6119647\nVietnam,VNM,2013,1.6722333\nVietnam,VNM,2014,1.963878\nVietnam,VNM,2015,2.2988992\nVietnam,VNM,2016,2.3513482\nVietnam,VNM,2017,2.392326\nVietnam,VNM,2018,2.654567\nVietnam,VNM,2019,3.4918098\nVietnam,VNM,2020,3.697001\nVietnam,VNM,2021,3.175785\nVietnam,VNM,2022,3.2368684\nVietnam,VNM,2023,3.4617958\nVietnam,VNM,2024,3.6730351\n```\n\nAccording to this chart, what was co\u2082 emissions per capita in Vietnam in 1999?","response":"Reading the plotted point for 1999, co\u2082 emissions per capita in Vietnam was 0.64 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nVietnam,VNM,1990,0.32514757\nVietnam,VNM,1991,0.31955397\nVietnam,VNM,1992,0.31447926\nVietnam,VNM,1993,0.32841194\nVietnam,VNM,1994,0.38617438\nVietnam,VNM,1995,0.41760576\nVietnam,VNM,1996,0.48500863\nVietnam,VNM,1997,0.6130133\nVietnam,VNM,1998,0.6356782\nVietnam,VNM,1999,0.63638675\nVietnam,VNM,2000,0.69906235\nVietnam,VNM,2001,0.78214556\nVietnam,VNM,2002,0.8826836\nVietnam,VNM,2003,0.9710582\nVietnam,VNM,2004,1.107049\nVietnam,VNM,2005,1.1819466\nVietnam,VNM,2006,1.2128327\nVietnam,VNM,2007,1.2128248\nVietnam,VNM,2008,1.3419256\nVietnam,VNM,2009,1.4398954\nVietnam,VNM,2010,1.5958333\nVietnam,VNM,2011,1.7245036\nVietnam,VNM,2012,1.6119647\nVietnam,VNM,2013,1.6722333\nVietnam,VNM,2014,1.963878\nVietnam,VNM,2015,2.2988992\nVietnam,VNM,2016,2.3513482\nVietnam,VNM,2017,2.392326\nVietnam,VNM,2018,2.654567\nVietnam,VNM,2019,3.4918098\nVietnam,VNM,2020,3.697001\nVietnam,VNM,2021,3.175785\nVietnam,VNM,2022,3.2368684\nVietnam,VNM,2023,3.4617958\nVietnam,VNM,2024,3.6730351\n```\n\nIn which year shown does co\u2082 emissions per capita reach its highest value for Vietnam?","response":"The series peaks in 2020, at 3.7 t\/person. The lowest point shown is 1992, at 0.31 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nVietnam,VNM,1990,0.32514757\nVietnam,VNM,1991,0.31955397\nVietnam,VNM,1992,0.31447926\nVietnam,VNM,1993,0.32841194\nVietnam,VNM,1994,0.38617438\nVietnam,VNM,1995,0.41760576\nVietnam,VNM,1996,0.48500863\nVietnam,VNM,1997,0.6130133\nVietnam,VNM,1998,0.6356782\nVietnam,VNM,1999,0.63638675\nVietnam,VNM,2000,0.69906235\nVietnam,VNM,2001,0.78214556\nVietnam,VNM,2002,0.8826836\nVietnam,VNM,2003,0.9710582\nVietnam,VNM,2004,1.107049\nVietnam,VNM,2005,1.1819466\nVietnam,VNM,2006,1.2128327\nVietnam,VNM,2007,1.2128248\nVietnam,VNM,2008,1.3419256\nVietnam,VNM,2009,1.4398954\nVietnam,VNM,2010,1.5958333\nVietnam,VNM,2011,1.7245036\nVietnam,VNM,2012,1.6119647\nVietnam,VNM,2013,1.6722333\nVietnam,VNM,2014,1.963878\nVietnam,VNM,2015,2.2988992\nVietnam,VNM,2016,2.3513482\nVietnam,VNM,2017,2.392326\nVietnam,VNM,2018,2.654567\nVietnam,VNM,2019,3.4918098\nVietnam,VNM,2020,3.697001\nVietnam,VNM,2021,3.175785\nVietnam,VNM,2022,3.2368684\nVietnam,VNM,2023,3.4617958\nVietnam,VNM,2024,3.6730351\n```\n\nHow much did co\u2082 emissions per capita change for Vietnam between 1990 and 2024?","response":"It moved from 0.33 t\/person in 1990 to 3.67 t\/person in 2024, a change of 3.35 t\/person (+1029.65%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nVietnam,VNM,1990,0.32514757\nVietnam,VNM,1991,0.31955397\nVietnam,VNM,1992,0.31447926\nVietnam,VNM,1993,0.32841194\nVietnam,VNM,1994,0.38617438\nVietnam,VNM,1995,0.41760576\nVietnam,VNM,1996,0.48500863\nVietnam,VNM,1997,0.6130133\nVietnam,VNM,1998,0.6356782\nVietnam,VNM,1999,0.63638675\nVietnam,VNM,2000,0.69906235\nVietnam,VNM,2001,0.78214556\nVietnam,VNM,2002,0.8826836\nVietnam,VNM,2003,0.9710582\nVietnam,VNM,2004,1.107049\nVietnam,VNM,2005,1.1819466\nVietnam,VNM,2006,1.2128327\nVietnam,VNM,2007,1.2128248\nVietnam,VNM,2008,1.3419256\nVietnam,VNM,2009,1.4398954\nVietnam,VNM,2010,1.5958333\nVietnam,VNM,2011,1.7245036\nVietnam,VNM,2012,1.6119647\nVietnam,VNM,2013,1.6722333\nVietnam,VNM,2014,1.963878\nVietnam,VNM,2015,2.2988992\nVietnam,VNM,2016,2.3513482\nVietnam,VNM,2017,2.392326\nVietnam,VNM,2018,2.654567\nVietnam,VNM,2019,3.4918098\nVietnam,VNM,2020,3.697001\nVietnam,VNM,2021,3.175785\nVietnam,VNM,2022,3.2368684\nVietnam,VNM,2023,3.4617958\nVietnam,VNM,2024,3.6730351\n```\n\nWas co\u2082 emissions per capita in Vietnam higher in 1991 or 2012?","response":"Higher in 2012. The chart gives 0.32 t\/person for 1991 and 1.61 t\/person for 2012, a difference of 1.29 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nVietnam,VNM,1990,0.32514757\nVietnam,VNM,1991,0.31955397\nVietnam,VNM,1992,0.31447926\nVietnam,VNM,1993,0.32841194\nVietnam,VNM,1994,0.38617438\nVietnam,VNM,1995,0.41760576\nVietnam,VNM,1996,0.48500863\nVietnam,VNM,1997,0.6130133\nVietnam,VNM,1998,0.6356782\nVietnam,VNM,1999,0.63638675\nVietnam,VNM,2000,0.69906235\nVietnam,VNM,2001,0.78214556\nVietnam,VNM,2002,0.8826836\nVietnam,VNM,2003,0.9710582\nVietnam,VNM,2004,1.107049\nVietnam,VNM,2005,1.1819466\nVietnam,VNM,2006,1.2128327\nVietnam,VNM,2007,1.2128248\nVietnam,VNM,2008,1.3419256\nVietnam,VNM,2009,1.4398954\nVietnam,VNM,2010,1.5958333\nVietnam,VNM,2011,1.7245036\nVietnam,VNM,2012,1.6119647\nVietnam,VNM,2013,1.6722333\nVietnam,VNM,2014,1.963878\nVietnam,VNM,2015,2.2988992\nVietnam,VNM,2016,2.3513482\nVietnam,VNM,2017,2.392326\nVietnam,VNM,2018,2.654567\nVietnam,VNM,2019,3.4918098\nVietnam,VNM,2020,3.697001\nVietnam,VNM,2021,3.175785\nVietnam,VNM,2022,3.2368684\nVietnam,VNM,2023,3.4617958\nVietnam,VNM,2024,3.6730351\n```\n\nAccording to this chart, what was co\u2082 emissions per capita in Vietnam in 1999?","response":"Reading the plotted point for 1999, co\u2082 emissions per capita in Vietnam was 0.64 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nVietnam,VNM,1990,0.32514757\nVietnam,VNM,1991,0.31955397\nVietnam,VNM,1992,0.31447926\nVietnam,VNM,1993,0.32841194\nVietnam,VNM,1994,0.38617438\nVietnam,VNM,1995,0.41760576\nVietnam,VNM,1996,0.48500863\nVietnam,VNM,1997,0.6130133\nVietnam,VNM,1998,0.6356782\nVietnam,VNM,1999,0.63638675\nVietnam,VNM,2000,0.69906235\nVietnam,VNM,2001,0.78214556\nVietnam,VNM,2002,0.8826836\nVietnam,VNM,2003,0.9710582\nVietnam,VNM,2004,1.107049\nVietnam,VNM,2005,1.1819466\nVietnam,VNM,2006,1.2128327\nVietnam,VNM,2007,1.2128248\nVietnam,VNM,2008,1.3419256\nVietnam,VNM,2009,1.4398954\nVietnam,VNM,2010,1.5958333\nVietnam,VNM,2011,1.7245036\nVietnam,VNM,2012,1.6119647\nVietnam,VNM,2013,1.6722333\nVietnam,VNM,2014,1.963878\nVietnam,VNM,2015,2.2988992\nVietnam,VNM,2016,2.3513482\nVietnam,VNM,2017,2.392326\nVietnam,VNM,2018,2.654567\nVietnam,VNM,2019,3.4918098\nVietnam,VNM,2020,3.697001\nVietnam,VNM,2021,3.175785\nVietnam,VNM,2022,3.2368684\nVietnam,VNM,2023,3.4617958\nVietnam,VNM,2024,3.6730351\n```\n\nIn which year shown does co\u2082 emissions per capita reach its highest value for Vietnam?","response":"The series peaks in 2020, at 3.7 t\/person. The lowest point shown is 1992, at 0.31 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nVietnam,VNM,1990,0.32514757\nVietnam,VNM,1991,0.31955397\nVietnam,VNM,1992,0.31447926\nVietnam,VNM,1993,0.32841194\nVietnam,VNM,1994,0.38617438\nVietnam,VNM,1995,0.41760576\nVietnam,VNM,1996,0.48500863\nVietnam,VNM,1997,0.6130133\nVietnam,VNM,1998,0.6356782\nVietnam,VNM,1999,0.63638675\nVietnam,VNM,2000,0.69906235\nVietnam,VNM,2001,0.78214556\nVietnam,VNM,2002,0.8826836\nVietnam,VNM,2003,0.9710582\nVietnam,VNM,2004,1.107049\nVietnam,VNM,2005,1.1819466\nVietnam,VNM,2006,1.2128327\nVietnam,VNM,2007,1.2128248\nVietnam,VNM,2008,1.3419256\nVietnam,VNM,2009,1.4398954\nVietnam,VNM,2010,1.5958333\nVietnam,VNM,2011,1.7245036\nVietnam,VNM,2012,1.6119647\nVietnam,VNM,2013,1.6722333\nVietnam,VNM,2014,1.963878\nVietnam,VNM,2015,2.2988992\nVietnam,VNM,2016,2.3513482\nVietnam,VNM,2017,2.392326\nVietnam,VNM,2018,2.654567\nVietnam,VNM,2019,3.4918098\nVietnam,VNM,2020,3.697001\nVietnam,VNM,2021,3.175785\nVietnam,VNM,2022,3.2368684\nVietnam,VNM,2023,3.4617958\nVietnam,VNM,2024,3.6730351\n```\n\nHow much did co\u2082 emissions per capita change for Vietnam between 1990 and 2024?","response":"It moved from 0.33 t\/person in 1990 to 3.67 t\/person in 2024, a change of 3.35 t\/person (+1029.65%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nVietnam,VNM,1990,0.32514757\nVietnam,VNM,1991,0.31955397\nVietnam,VNM,1992,0.31447926\nVietnam,VNM,1993,0.32841194\nVietnam,VNM,1994,0.38617438\nVietnam,VNM,1995,0.41760576\nVietnam,VNM,1996,0.48500863\nVietnam,VNM,1997,0.6130133\nVietnam,VNM,1998,0.6356782\nVietnam,VNM,1999,0.63638675\nVietnam,VNM,2000,0.69906235\nVietnam,VNM,2001,0.78214556\nVietnam,VNM,2002,0.8826836\nVietnam,VNM,2003,0.9710582\nVietnam,VNM,2004,1.107049\nVietnam,VNM,2005,1.1819466\nVietnam,VNM,2006,1.2128327\nVietnam,VNM,2007,1.2128248\nVietnam,VNM,2008,1.3419256\nVietnam,VNM,2009,1.4398954\nVietnam,VNM,2010,1.5958333\nVietnam,VNM,2011,1.7245036\nVietnam,VNM,2012,1.6119647\nVietnam,VNM,2013,1.6722333\nVietnam,VNM,2014,1.963878\nVietnam,VNM,2015,2.2988992\nVietnam,VNM,2016,2.3513482\nVietnam,VNM,2017,2.392326\nVietnam,VNM,2018,2.654567\nVietnam,VNM,2019,3.4918098\nVietnam,VNM,2020,3.697001\nVietnam,VNM,2021,3.175785\nVietnam,VNM,2022,3.2368684\nVietnam,VNM,2023,3.4617958\nVietnam,VNM,2024,3.6730351\n```\n\nWas co\u2082 emissions per capita in Vietnam higher in 1991 or 2012?","response":"Higher in 2012. The chart gives 0.32 t\/person for 1991 and 1.61 t\/person for 2012, a difference of 1.29 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nVietnam,VNM,1990,0.32514757\nVietnam,VNM,1991,0.31955397\nVietnam,VNM,1992,0.31447926\nVietnam,VNM,1993,0.32841194\nVietnam,VNM,1994,0.38617438\nVietnam,VNM,1995,0.41760576\nVietnam,VNM,1996,0.48500863\nVietnam,VNM,1997,0.6130133\nVietnam,VNM,1998,0.6356782\nVietnam,VNM,1999,0.63638675\nVietnam,VNM,2000,0.69906235\nVietnam,VNM,2001,0.78214556\nVietnam,VNM,2002,0.8826836\nVietnam,VNM,2003,0.9710582\nVietnam,VNM,2004,1.107049\nVietnam,VNM,2005,1.1819466\nVietnam,VNM,2006,1.2128327\nVietnam,VNM,2007,1.2128248\nVietnam,VNM,2008,1.3419256\nVietnam,VNM,2009,1.4398954\nVietnam,VNM,2010,1.5958333\nVietnam,VNM,2011,1.7245036\nVietnam,VNM,2012,1.6119647\nVietnam,VNM,2013,1.6722333\nVietnam,VNM,2014,1.963878\nVietnam,VNM,2015,2.2988992\nVietnam,VNM,2016,2.3513482\nVietnam,VNM,2017,2.392326\nVietnam,VNM,2018,2.654567\nVietnam,VNM,2019,3.4918098\nVietnam,VNM,2020,3.697001\nVietnam,VNM,2021,3.175785\nVietnam,VNM,2022,3.2368684\nVietnam,VNM,2023,3.4617958\nVietnam,VNM,2024,3.6730351\n```\n\nBased on this chart, is co\u2082 emissions per capita in Vietnam rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.33 t\/person to 3.67 t\/person, a change of +1029.65%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nVietnam,VNM,1990,0.32514757\nVietnam,VNM,1991,0.31955397\nVietnam,VNM,1992,0.31447926\nVietnam,VNM,1993,0.32841194\nVietnam,VNM,1994,0.38617438\nVietnam,VNM,1995,0.41760576\nVietnam,VNM,1996,0.48500863\nVietnam,VNM,1997,0.6130133\nVietnam,VNM,1998,0.6356782\nVietnam,VNM,1999,0.63638675\nVietnam,VNM,2000,0.69906235\nVietnam,VNM,2001,0.78214556\nVietnam,VNM,2002,0.8826836\nVietnam,VNM,2003,0.9710582\nVietnam,VNM,2004,1.107049\nVietnam,VNM,2005,1.1819466\nVietnam,VNM,2006,1.2128327\nVietnam,VNM,2007,1.2128248\nVietnam,VNM,2008,1.3419256\nVietnam,VNM,2009,1.4398954\nVietnam,VNM,2010,1.5958333\nVietnam,VNM,2011,1.7245036\nVietnam,VNM,2012,1.6119647\nVietnam,VNM,2013,1.6722333\nVietnam,VNM,2014,1.963878\nVietnam,VNM,2015,2.2988992\nVietnam,VNM,2016,2.3513482\nVietnam,VNM,2017,2.392326\nVietnam,VNM,2018,2.654567\nVietnam,VNM,2019,3.4918098\nVietnam,VNM,2020,3.697001\nVietnam,VNM,2021,3.175785\nVietnam,VNM,2022,3.2368684\nVietnam,VNM,2023,3.4617958\nVietnam,VNM,2024,3.6730351\n```\n\nThis chart makes the change in co\u2082 emissions per capita for Vietnam look dramatic. Is it?","response":"The values change by +1029.65%, from 0.33 t\/person to 3.67 t\/person. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nVietnam,VNM,1990,0.32514757\nVietnam,VNM,1991,0.31955397\nVietnam,VNM,1992,0.31447926\nVietnam,VNM,1993,0.32841194\nVietnam,VNM,1994,0.38617438\nVietnam,VNM,1995,0.41760576\nVietnam,VNM,1996,0.48500863\nVietnam,VNM,1997,0.6130133\nVietnam,VNM,1998,0.6356782\nVietnam,VNM,1999,0.63638675\nVietnam,VNM,2000,0.69906235\nVietnam,VNM,2001,0.78214556\nVietnam,VNM,2002,0.8826836\nVietnam,VNM,2003,0.9710582\nVietnam,VNM,2004,1.107049\nVietnam,VNM,2005,1.1819466\nVietnam,VNM,2006,1.2128327\nVietnam,VNM,2007,1.2128248\nVietnam,VNM,2008,1.3419256\nVietnam,VNM,2009,1.4398954\nVietnam,VNM,2010,1.5958333\nVietnam,VNM,2011,1.7245036\nVietnam,VNM,2012,1.6119647\nVietnam,VNM,2013,1.6722333\nVietnam,VNM,2014,1.963878\nVietnam,VNM,2015,2.2988992\nVietnam,VNM,2016,2.3513482\nVietnam,VNM,2017,2.392326\nVietnam,VNM,2018,2.654567\nVietnam,VNM,2019,3.4918098\nVietnam,VNM,2020,3.697001\nVietnam,VNM,2021,3.175785\nVietnam,VNM,2022,3.2368684\nVietnam,VNM,2023,3.4617958\nVietnam,VNM,2024,3.6730351\n```\n\nHow does Vietnam compare with Kenya on this measure?","response":"This chart covers Vietnam only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about Vietnam on its own: the series runs from 0.33 t\/person in 1990 to 3.67 t\/person in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Vietnam__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nPoland,POL,1990,9.889295\nPoland,POL,1991,9.786034\nPoland,POL,1992,9.527805\nPoland,POL,1993,9.530198\nPoland,POL,1994,9.38838\nPoland,POL,1995,9.448353\nPoland,POL,1996,9.831252\nPoland,POL,1997,9.575367\nPoland,POL,1998,8.84455\nPoland,POL,1999,8.598169\nPoland,POL,2000,8.293836\nPoland,POL,2001,8.190556\nPoland,POL,2002,8.000449\nPoland,POL,2003,8.343018\nPoland,POL,2004,8.478947\nPoland,POL,2005,8.461171\nPoland,POL,2006,8.835748\nPoland,POL,2007,8.830378\nPoland,POL,2008,8.670105\nPoland,POL,2009,8.312326\nPoland,POL,2010,8.768195\nPoland,POL,2011,8.725933\nPoland,POL,2012,8.517539\nPoland,POL,2013,8.409914\nPoland,POL,2014,8.086096\nPoland,POL,2015,8.167728\nPoland,POL,2016,8.449371\nPoland,POL,2017,8.796377\nPoland,POL,2018,8.779007\nPoland,POL,2019,8.304427\nPoland,POL,2020,7.914448\nPoland,POL,2021,8.693247\nPoland,POL,2022,8.20336\nPoland,POL,2023,7.307086\nPoland,POL,2024,7.0801096\n```\n\nAccording to this chart, what was co\u2082 emissions per capita in Poland in 2001?","response":"Reading the plotted point for 2001, co\u2082 emissions per capita in Poland was 8.19 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nPoland,POL,1990,9.889295\nPoland,POL,1991,9.786034\nPoland,POL,1992,9.527805\nPoland,POL,1993,9.530198\nPoland,POL,1994,9.38838\nPoland,POL,1995,9.448353\nPoland,POL,1996,9.831252\nPoland,POL,1997,9.575367\nPoland,POL,1998,8.84455\nPoland,POL,1999,8.598169\nPoland,POL,2000,8.293836\nPoland,POL,2001,8.190556\nPoland,POL,2002,8.000449\nPoland,POL,2003,8.343018\nPoland,POL,2004,8.478947\nPoland,POL,2005,8.461171\nPoland,POL,2006,8.835748\nPoland,POL,2007,8.830378\nPoland,POL,2008,8.670105\nPoland,POL,2009,8.312326\nPoland,POL,2010,8.768195\nPoland,POL,2011,8.725933\nPoland,POL,2012,8.517539\nPoland,POL,2013,8.409914\nPoland,POL,2014,8.086096\nPoland,POL,2015,8.167728\nPoland,POL,2016,8.449371\nPoland,POL,2017,8.796377\nPoland,POL,2018,8.779007\nPoland,POL,2019,8.304427\nPoland,POL,2020,7.914448\nPoland,POL,2021,8.693247\nPoland,POL,2022,8.20336\nPoland,POL,2023,7.307086\nPoland,POL,2024,7.0801096\n```\n\nIn which year shown does co\u2082 emissions per capita reach its highest value for Poland?","response":"The series peaks in 1990, at 9.89 t\/person. The lowest point shown is 2024, at 7.08 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nPoland,POL,1990,9.889295\nPoland,POL,1991,9.786034\nPoland,POL,1992,9.527805\nPoland,POL,1993,9.530198\nPoland,POL,1994,9.38838\nPoland,POL,1995,9.448353\nPoland,POL,1996,9.831252\nPoland,POL,1997,9.575367\nPoland,POL,1998,8.84455\nPoland,POL,1999,8.598169\nPoland,POL,2000,8.293836\nPoland,POL,2001,8.190556\nPoland,POL,2002,8.000449\nPoland,POL,2003,8.343018\nPoland,POL,2004,8.478947\nPoland,POL,2005,8.461171\nPoland,POL,2006,8.835748\nPoland,POL,2007,8.830378\nPoland,POL,2008,8.670105\nPoland,POL,2009,8.312326\nPoland,POL,2010,8.768195\nPoland,POL,2011,8.725933\nPoland,POL,2012,8.517539\nPoland,POL,2013,8.409914\nPoland,POL,2014,8.086096\nPoland,POL,2015,8.167728\nPoland,POL,2016,8.449371\nPoland,POL,2017,8.796377\nPoland,POL,2018,8.779007\nPoland,POL,2019,8.304427\nPoland,POL,2020,7.914448\nPoland,POL,2021,8.693247\nPoland,POL,2022,8.20336\nPoland,POL,2023,7.307086\nPoland,POL,2024,7.0801096\n```\n\nHow much did co\u2082 emissions per capita change for Poland between 1990 and 2024?","response":"It moved from 9.89 t\/person in 1990 to 7.08 t\/person in 2024, a change of -2.81 t\/person (-28.41%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nPoland,POL,1990,9.889295\nPoland,POL,1991,9.786034\nPoland,POL,1992,9.527805\nPoland,POL,1993,9.530198\nPoland,POL,1994,9.38838\nPoland,POL,1995,9.448353\nPoland,POL,1996,9.831252\nPoland,POL,1997,9.575367\nPoland,POL,1998,8.84455\nPoland,POL,1999,8.598169\nPoland,POL,2000,8.293836\nPoland,POL,2001,8.190556\nPoland,POL,2002,8.000449\nPoland,POL,2003,8.343018\nPoland,POL,2004,8.478947\nPoland,POL,2005,8.461171\nPoland,POL,2006,8.835748\nPoland,POL,2007,8.830378\nPoland,POL,2008,8.670105\nPoland,POL,2009,8.312326\nPoland,POL,2010,8.768195\nPoland,POL,2011,8.725933\nPoland,POL,2012,8.517539\nPoland,POL,2013,8.409914\nPoland,POL,2014,8.086096\nPoland,POL,2015,8.167728\nPoland,POL,2016,8.449371\nPoland,POL,2017,8.796377\nPoland,POL,2018,8.779007\nPoland,POL,2019,8.304427\nPoland,POL,2020,7.914448\nPoland,POL,2021,8.693247\nPoland,POL,2022,8.20336\nPoland,POL,2023,7.307086\nPoland,POL,2024,7.0801096\n```\n\nWas co\u2082 emissions per capita in Poland higher in 2006 or 2023?","response":"Higher in 2006. The chart gives 8.84 t\/person for 2006 and 7.31 t\/person for 2023, a difference of 1.53 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nPoland,POL,1990,9.889295\nPoland,POL,1991,9.786034\nPoland,POL,1992,9.527805\nPoland,POL,1993,9.530198\nPoland,POL,1994,9.38838\nPoland,POL,1995,9.448353\nPoland,POL,1996,9.831252\nPoland,POL,1997,9.575367\nPoland,POL,1998,8.84455\nPoland,POL,1999,8.598169\nPoland,POL,2000,8.293836\nPoland,POL,2001,8.190556\nPoland,POL,2002,8.000449\nPoland,POL,2003,8.343018\nPoland,POL,2004,8.478947\nPoland,POL,2005,8.461171\nPoland,POL,2006,8.835748\nPoland,POL,2007,8.830378\nPoland,POL,2008,8.670105\nPoland,POL,2009,8.312326\nPoland,POL,2010,8.768195\nPoland,POL,2011,8.725933\nPoland,POL,2012,8.517539\nPoland,POL,2013,8.409914\nPoland,POL,2014,8.086096\nPoland,POL,2015,8.167728\nPoland,POL,2016,8.449371\nPoland,POL,2017,8.796377\nPoland,POL,2018,8.779007\nPoland,POL,2019,8.304427\nPoland,POL,2020,7.914448\nPoland,POL,2021,8.693247\nPoland,POL,2022,8.20336\nPoland,POL,2023,7.307086\nPoland,POL,2024,7.0801096\n```\n\nAccording to this chart, what was co\u2082 emissions per capita in Poland in 2001?","response":"Reading the plotted point for 2001, co\u2082 emissions per capita in Poland was 8.19 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nPoland,POL,1990,9.889295\nPoland,POL,1991,9.786034\nPoland,POL,1992,9.527805\nPoland,POL,1993,9.530198\nPoland,POL,1994,9.38838\nPoland,POL,1995,9.448353\nPoland,POL,1996,9.831252\nPoland,POL,1997,9.575367\nPoland,POL,1998,8.84455\nPoland,POL,1999,8.598169\nPoland,POL,2000,8.293836\nPoland,POL,2001,8.190556\nPoland,POL,2002,8.000449\nPoland,POL,2003,8.343018\nPoland,POL,2004,8.478947\nPoland,POL,2005,8.461171\nPoland,POL,2006,8.835748\nPoland,POL,2007,8.830378\nPoland,POL,2008,8.670105\nPoland,POL,2009,8.312326\nPoland,POL,2010,8.768195\nPoland,POL,2011,8.725933\nPoland,POL,2012,8.517539\nPoland,POL,2013,8.409914\nPoland,POL,2014,8.086096\nPoland,POL,2015,8.167728\nPoland,POL,2016,8.449371\nPoland,POL,2017,8.796377\nPoland,POL,2018,8.779007\nPoland,POL,2019,8.304427\nPoland,POL,2020,7.914448\nPoland,POL,2021,8.693247\nPoland,POL,2022,8.20336\nPoland,POL,2023,7.307086\nPoland,POL,2024,7.0801096\n```\n\nIn which year shown does co\u2082 emissions per capita reach its highest value for Poland?","response":"The series peaks in 1990, at 9.89 t\/person. The lowest point shown is 2024, at 7.08 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nPoland,POL,1990,9.889295\nPoland,POL,1991,9.786034\nPoland,POL,1992,9.527805\nPoland,POL,1993,9.530198\nPoland,POL,1994,9.38838\nPoland,POL,1995,9.448353\nPoland,POL,1996,9.831252\nPoland,POL,1997,9.575367\nPoland,POL,1998,8.84455\nPoland,POL,1999,8.598169\nPoland,POL,2000,8.293836\nPoland,POL,2001,8.190556\nPoland,POL,2002,8.000449\nPoland,POL,2003,8.343018\nPoland,POL,2004,8.478947\nPoland,POL,2005,8.461171\nPoland,POL,2006,8.835748\nPoland,POL,2007,8.830378\nPoland,POL,2008,8.670105\nPoland,POL,2009,8.312326\nPoland,POL,2010,8.768195\nPoland,POL,2011,8.725933\nPoland,POL,2012,8.517539\nPoland,POL,2013,8.409914\nPoland,POL,2014,8.086096\nPoland,POL,2015,8.167728\nPoland,POL,2016,8.449371\nPoland,POL,2017,8.796377\nPoland,POL,2018,8.779007\nPoland,POL,2019,8.304427\nPoland,POL,2020,7.914448\nPoland,POL,2021,8.693247\nPoland,POL,2022,8.20336\nPoland,POL,2023,7.307086\nPoland,POL,2024,7.0801096\n```\n\nHow much did co\u2082 emissions per capita change for Poland between 1990 and 2024?","response":"It moved from 9.89 t\/person in 1990 to 7.08 t\/person in 2024, a change of -2.81 t\/person (-28.41%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nPoland,POL,1990,9.889295\nPoland,POL,1991,9.786034\nPoland,POL,1992,9.527805\nPoland,POL,1993,9.530198\nPoland,POL,1994,9.38838\nPoland,POL,1995,9.448353\nPoland,POL,1996,9.831252\nPoland,POL,1997,9.575367\nPoland,POL,1998,8.84455\nPoland,POL,1999,8.598169\nPoland,POL,2000,8.293836\nPoland,POL,2001,8.190556\nPoland,POL,2002,8.000449\nPoland,POL,2003,8.343018\nPoland,POL,2004,8.478947\nPoland,POL,2005,8.461171\nPoland,POL,2006,8.835748\nPoland,POL,2007,8.830378\nPoland,POL,2008,8.670105\nPoland,POL,2009,8.312326\nPoland,POL,2010,8.768195\nPoland,POL,2011,8.725933\nPoland,POL,2012,8.517539\nPoland,POL,2013,8.409914\nPoland,POL,2014,8.086096\nPoland,POL,2015,8.167728\nPoland,POL,2016,8.449371\nPoland,POL,2017,8.796377\nPoland,POL,2018,8.779007\nPoland,POL,2019,8.304427\nPoland,POL,2020,7.914448\nPoland,POL,2021,8.693247\nPoland,POL,2022,8.20336\nPoland,POL,2023,7.307086\nPoland,POL,2024,7.0801096\n```\n\nWas co\u2082 emissions per capita in Poland higher in 2006 or 2023?","response":"Higher in 2006. The chart gives 8.84 t\/person for 2006 and 7.31 t\/person for 2023, a difference of 1.53 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nPoland,POL,1990,9.889295\nPoland,POL,1991,9.786034\nPoland,POL,1992,9.527805\nPoland,POL,1993,9.530198\nPoland,POL,1994,9.38838\nPoland,POL,1995,9.448353\nPoland,POL,1996,9.831252\nPoland,POL,1997,9.575367\nPoland,POL,1998,8.84455\nPoland,POL,1999,8.598169\nPoland,POL,2000,8.293836\nPoland,POL,2001,8.190556\nPoland,POL,2002,8.000449\nPoland,POL,2003,8.343018\nPoland,POL,2004,8.478947\nPoland,POL,2005,8.461171\nPoland,POL,2006,8.835748\nPoland,POL,2007,8.830378\nPoland,POL,2008,8.670105\nPoland,POL,2009,8.312326\nPoland,POL,2010,8.768195\nPoland,POL,2011,8.725933\nPoland,POL,2012,8.517539\nPoland,POL,2013,8.409914\nPoland,POL,2014,8.086096\nPoland,POL,2015,8.167728\nPoland,POL,2016,8.449371\nPoland,POL,2017,8.796377\nPoland,POL,2018,8.779007\nPoland,POL,2019,8.304427\nPoland,POL,2020,7.914448\nPoland,POL,2021,8.693247\nPoland,POL,2022,8.20336\nPoland,POL,2023,7.307086\nPoland,POL,2024,7.0801096\n```\n\nThis chart appears to show co\u2082 emissions per capita in Poland rising steeply. How large is the increase actually?","response":"The plotted values run from 9.89 t\/person to 7.08 t\/person, so the actual change is -28.41%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 6.7046 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nPoland,POL,1990,9.889295\nPoland,POL,1991,9.786034\nPoland,POL,1992,9.527805\nPoland,POL,1993,9.530198\nPoland,POL,1994,9.38838\nPoland,POL,1995,9.448353\nPoland,POL,1996,9.831252\nPoland,POL,1997,9.575367\nPoland,POL,1998,8.84455\nPoland,POL,1999,8.598169\nPoland,POL,2000,8.293836\nPoland,POL,2001,8.190556\nPoland,POL,2002,8.000449\nPoland,POL,2003,8.343018\nPoland,POL,2004,8.478947\nPoland,POL,2005,8.461171\nPoland,POL,2006,8.835748\nPoland,POL,2007,8.830378\nPoland,POL,2008,8.670105\nPoland,POL,2009,8.312326\nPoland,POL,2010,8.768195\nPoland,POL,2011,8.725933\nPoland,POL,2012,8.517539\nPoland,POL,2013,8.409914\nPoland,POL,2014,8.086096\nPoland,POL,2015,8.167728\nPoland,POL,2016,8.449371\nPoland,POL,2017,8.796377\nPoland,POL,2018,8.779007\nPoland,POL,2019,8.304427\nPoland,POL,2020,7.914448\nPoland,POL,2021,8.693247\nPoland,POL,2022,8.20336\nPoland,POL,2023,7.307086\nPoland,POL,2024,7.0801096\n```\n\nBased on this chart, is co\u2082 emissions per capita in Poland rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 9.89 t\/person to 7.08 t\/person, a change of -28.41%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nPoland,POL,2000,8.293836\nPoland,POL,2001,8.190556\nPoland,POL,2002,8.000449\nPoland,POL,2003,8.343018\nPoland,POL,2004,8.478947\nPoland,POL,2005,8.461171\nPoland,POL,2006,8.835748\nPoland,POL,2007,8.830378\nPoland,POL,2008,8.670105\n```\n\nWhat does this chart suggest about the long-run direction of co\u2082 emissions per capita in Poland?","response":"Within the window shown (2000-2008) the series moves +4.54%, but that window runs against the longer record. Across the full series (1990-2024) the change is -28.41%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nPoland,POL,1990,9.889295\nPoland,POL,1991,9.786034\nPoland,POL,1992,9.527805\nPoland,POL,1993,9.530198\nPoland,POL,1994,9.38838\nPoland,POL,1995,9.448353\nPoland,POL,1996,9.831252\nPoland,POL,1997,9.575367\nPoland,POL,1998,8.84455\nPoland,POL,1999,8.598169\nPoland,POL,2000,8.293836\nPoland,POL,2001,8.190556\nPoland,POL,2002,8.000449\nPoland,POL,2003,8.343018\nPoland,POL,2004,8.478947\nPoland,POL,2005,8.461171\nPoland,POL,2006,8.835748\nPoland,POL,2007,8.830378\nPoland,POL,2008,8.670105\nPoland,POL,2009,8.312326\nPoland,POL,2010,8.768195\nPoland,POL,2011,8.725933\nPoland,POL,2012,8.517539\nPoland,POL,2013,8.409914\nPoland,POL,2014,8.086096\nPoland,POL,2015,8.167728\nPoland,POL,2016,8.449371\nPoland,POL,2017,8.796377\nPoland,POL,2018,8.779007\nPoland,POL,2019,8.304427\nPoland,POL,2020,7.914448\nPoland,POL,2021,8.693247\nPoland,POL,2022,8.20336\nPoland,POL,2023,7.307086\nPoland,POL,2024,7.0801096\n```\n\nHow does Poland compare with Kenya on this measure?","response":"This chart covers Poland only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about Poland on its own: the series runs from 9.89 t\/person in 1990 to 7.08 t\/person in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Poland__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nChile,CHL,1990,2.449037\nChile,CHL,1991,2.2610672\nChile,CHL,1992,2.3047636\nChile,CHL,1993,2.417898\nChile,CHL,1994,2.652569\nChile,CHL,1995,2.8609886\nChile,CHL,1996,3.2731185\nChile,CHL,1997,3.7463424\nChile,CHL,1998,3.784981\nChile,CHL,1999,4.0085335\nChile,CHL,2000,3.7734768\nChile,CHL,2001,3.3740683\nChile,CHL,2002,3.4579308\nChile,CHL,2003,3.4384434\nChile,CHL,2004,3.6584854\nChile,CHL,2005,3.7382884\nChile,CHL,2006,3.879552\nChile,CHL,2007,4.226911\nChile,CHL,2008,4.189623\nChile,CHL,2009,3.8777666\nChile,CHL,2010,4.1525846\nChile,CHL,2011,4.4993253\nChile,CHL,2012,4.5448008\nChile,CHL,2013,4.6210914\nChile,CHL,2014,4.3431134\nChile,CHL,2015,4.5312576\nChile,CHL,2016,4.6121125\nChile,CHL,2017,4.533392\nChile,CHL,2018,4.469476\nChile,CHL,2019,4.7910333\nChile,CHL,2020,4.1391664\nChile,CHL,2021,4.298362\nChile,CHL,2022,4.385191\nChile,CHL,2023,3.9475496\nChile,CHL,2024,3.983124\n```\n\nAccording to this chart, what was co\u2082 emissions per capita in Chile in 2024?","response":"Reading the plotted point for 2024, co\u2082 emissions per capita in Chile was 3.98 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nChile,CHL,1990,2.449037\nChile,CHL,1991,2.2610672\nChile,CHL,1992,2.3047636\nChile,CHL,1993,2.417898\nChile,CHL,1994,2.652569\nChile,CHL,1995,2.8609886\nChile,CHL,1996,3.2731185\nChile,CHL,1997,3.7463424\nChile,CHL,1998,3.784981\nChile,CHL,1999,4.0085335\nChile,CHL,2000,3.7734768\nChile,CHL,2001,3.3740683\nChile,CHL,2002,3.4579308\nChile,CHL,2003,3.4384434\nChile,CHL,2004,3.6584854\nChile,CHL,2005,3.7382884\nChile,CHL,2006,3.879552\nChile,CHL,2007,4.226911\nChile,CHL,2008,4.189623\nChile,CHL,2009,3.8777666\nChile,CHL,2010,4.1525846\nChile,CHL,2011,4.4993253\nChile,CHL,2012,4.5448008\nChile,CHL,2013,4.6210914\nChile,CHL,2014,4.3431134\nChile,CHL,2015,4.5312576\nChile,CHL,2016,4.6121125\nChile,CHL,2017,4.533392\nChile,CHL,2018,4.469476\nChile,CHL,2019,4.7910333\nChile,CHL,2020,4.1391664\nChile,CHL,2021,4.298362\nChile,CHL,2022,4.385191\nChile,CHL,2023,3.9475496\nChile,CHL,2024,3.983124\n```\n\nIn which year shown does co\u2082 emissions per capita reach its highest value for Chile?","response":"The series peaks in 2019, at 4.79 t\/person. The lowest point shown is 1991, at 2.26 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nChile,CHL,1990,2.449037\nChile,CHL,1991,2.2610672\nChile,CHL,1992,2.3047636\nChile,CHL,1993,2.417898\nChile,CHL,1994,2.652569\nChile,CHL,1995,2.8609886\nChile,CHL,1996,3.2731185\nChile,CHL,1997,3.7463424\nChile,CHL,1998,3.784981\nChile,CHL,1999,4.0085335\nChile,CHL,2000,3.7734768\nChile,CHL,2001,3.3740683\nChile,CHL,2002,3.4579308\nChile,CHL,2003,3.4384434\nChile,CHL,2004,3.6584854\nChile,CHL,2005,3.7382884\nChile,CHL,2006,3.879552\nChile,CHL,2007,4.226911\nChile,CHL,2008,4.189623\nChile,CHL,2009,3.8777666\nChile,CHL,2010,4.1525846\nChile,CHL,2011,4.4993253\nChile,CHL,2012,4.5448008\nChile,CHL,2013,4.6210914\nChile,CHL,2014,4.3431134\nChile,CHL,2015,4.5312576\nChile,CHL,2016,4.6121125\nChile,CHL,2017,4.533392\nChile,CHL,2018,4.469476\nChile,CHL,2019,4.7910333\nChile,CHL,2020,4.1391664\nChile,CHL,2021,4.298362\nChile,CHL,2022,4.385191\nChile,CHL,2023,3.9475496\nChile,CHL,2024,3.983124\n```\n\nHow much did co\u2082 emissions per capita change for Chile between 1990 and 2024?","response":"It moved from 2.45 t\/person in 1990 to 3.98 t\/person in 2024, a change of 1.53 t\/person (+62.64%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nChile,CHL,1990,2.449037\nChile,CHL,1991,2.2610672\nChile,CHL,1992,2.3047636\nChile,CHL,1993,2.417898\nChile,CHL,1994,2.652569\nChile,CHL,1995,2.8609886\nChile,CHL,1996,3.2731185\nChile,CHL,1997,3.7463424\nChile,CHL,1998,3.784981\nChile,CHL,1999,4.0085335\nChile,CHL,2000,3.7734768\nChile,CHL,2001,3.3740683\nChile,CHL,2002,3.4579308\nChile,CHL,2003,3.4384434\nChile,CHL,2004,3.6584854\nChile,CHL,2005,3.7382884\nChile,CHL,2006,3.879552\nChile,CHL,2007,4.226911\nChile,CHL,2008,4.189623\nChile,CHL,2009,3.8777666\nChile,CHL,2010,4.1525846\nChile,CHL,2011,4.4993253\nChile,CHL,2012,4.5448008\nChile,CHL,2013,4.6210914\nChile,CHL,2014,4.3431134\nChile,CHL,2015,4.5312576\nChile,CHL,2016,4.6121125\nChile,CHL,2017,4.533392\nChile,CHL,2018,4.469476\nChile,CHL,2019,4.7910333\nChile,CHL,2020,4.1391664\nChile,CHL,2021,4.298362\nChile,CHL,2022,4.385191\nChile,CHL,2023,3.9475496\nChile,CHL,2024,3.983124\n```\n\nWas co\u2082 emissions per capita in Chile higher in 1991 or 2020?","response":"Higher in 2020. The chart gives 2.26 t\/person for 1991 and 4.14 t\/person for 2020, a difference of 1.88 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nChile,CHL,1990,2.449037\nChile,CHL,1991,2.2610672\nChile,CHL,1992,2.3047636\nChile,CHL,1993,2.417898\nChile,CHL,1994,2.652569\nChile,CHL,1995,2.8609886\nChile,CHL,1996,3.2731185\nChile,CHL,1997,3.7463424\nChile,CHL,1998,3.784981\nChile,CHL,1999,4.0085335\nChile,CHL,2000,3.7734768\nChile,CHL,2001,3.3740683\nChile,CHL,2002,3.4579308\nChile,CHL,2003,3.4384434\nChile,CHL,2004,3.6584854\nChile,CHL,2005,3.7382884\nChile,CHL,2006,3.879552\nChile,CHL,2007,4.226911\nChile,CHL,2008,4.189623\nChile,CHL,2009,3.8777666\nChile,CHL,2010,4.1525846\nChile,CHL,2011,4.4993253\nChile,CHL,2012,4.5448008\nChile,CHL,2013,4.6210914\nChile,CHL,2014,4.3431134\nChile,CHL,2015,4.5312576\nChile,CHL,2016,4.6121125\nChile,CHL,2017,4.533392\nChile,CHL,2018,4.469476\nChile,CHL,2019,4.7910333\nChile,CHL,2020,4.1391664\nChile,CHL,2021,4.298362\nChile,CHL,2022,4.385191\nChile,CHL,2023,3.9475496\nChile,CHL,2024,3.983124\n```\n\nAccording to this chart, what was co\u2082 emissions per capita in Chile in 2024?","response":"Reading the plotted point for 2024, co\u2082 emissions per capita in Chile was 3.98 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nChile,CHL,1990,2.449037\nChile,CHL,1991,2.2610672\nChile,CHL,1992,2.3047636\nChile,CHL,1993,2.417898\nChile,CHL,1994,2.652569\nChile,CHL,1995,2.8609886\nChile,CHL,1996,3.2731185\nChile,CHL,1997,3.7463424\nChile,CHL,1998,3.784981\nChile,CHL,1999,4.0085335\nChile,CHL,2000,3.7734768\nChile,CHL,2001,3.3740683\nChile,CHL,2002,3.4579308\nChile,CHL,2003,3.4384434\nChile,CHL,2004,3.6584854\nChile,CHL,2005,3.7382884\nChile,CHL,2006,3.879552\nChile,CHL,2007,4.226911\nChile,CHL,2008,4.189623\nChile,CHL,2009,3.8777666\nChile,CHL,2010,4.1525846\nChile,CHL,2011,4.4993253\nChile,CHL,2012,4.5448008\nChile,CHL,2013,4.6210914\nChile,CHL,2014,4.3431134\nChile,CHL,2015,4.5312576\nChile,CHL,2016,4.6121125\nChile,CHL,2017,4.533392\nChile,CHL,2018,4.469476\nChile,CHL,2019,4.7910333\nChile,CHL,2020,4.1391664\nChile,CHL,2021,4.298362\nChile,CHL,2022,4.385191\nChile,CHL,2023,3.9475496\nChile,CHL,2024,3.983124\n```\n\nIn which year shown does co\u2082 emissions per capita reach its highest value for Chile?","response":"The series peaks in 2019, at 4.79 t\/person. The lowest point shown is 1991, at 2.26 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nChile,CHL,1990,2.449037\nChile,CHL,1991,2.2610672\nChile,CHL,1992,2.3047636\nChile,CHL,1993,2.417898\nChile,CHL,1994,2.652569\nChile,CHL,1995,2.8609886\nChile,CHL,1996,3.2731185\nChile,CHL,1997,3.7463424\nChile,CHL,1998,3.784981\nChile,CHL,1999,4.0085335\nChile,CHL,2000,3.7734768\nChile,CHL,2001,3.3740683\nChile,CHL,2002,3.4579308\nChile,CHL,2003,3.4384434\nChile,CHL,2004,3.6584854\nChile,CHL,2005,3.7382884\nChile,CHL,2006,3.879552\nChile,CHL,2007,4.226911\nChile,CHL,2008,4.189623\nChile,CHL,2009,3.8777666\nChile,CHL,2010,4.1525846\nChile,CHL,2011,4.4993253\nChile,CHL,2012,4.5448008\nChile,CHL,2013,4.6210914\nChile,CHL,2014,4.3431134\nChile,CHL,2015,4.5312576\nChile,CHL,2016,4.6121125\nChile,CHL,2017,4.533392\nChile,CHL,2018,4.469476\nChile,CHL,2019,4.7910333\nChile,CHL,2020,4.1391664\nChile,CHL,2021,4.298362\nChile,CHL,2022,4.385191\nChile,CHL,2023,3.9475496\nChile,CHL,2024,3.983124\n```\n\nHow much did co\u2082 emissions per capita change for Chile between 1990 and 2024?","response":"It moved from 2.45 t\/person in 1990 to 3.98 t\/person in 2024, a change of 1.53 t\/person (+62.64%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nChile,CHL,1990,2.449037\nChile,CHL,1991,2.2610672\nChile,CHL,1992,2.3047636\nChile,CHL,1993,2.417898\nChile,CHL,1994,2.652569\nChile,CHL,1995,2.8609886\nChile,CHL,1996,3.2731185\nChile,CHL,1997,3.7463424\nChile,CHL,1998,3.784981\nChile,CHL,1999,4.0085335\nChile,CHL,2000,3.7734768\nChile,CHL,2001,3.3740683\nChile,CHL,2002,3.4579308\nChile,CHL,2003,3.4384434\nChile,CHL,2004,3.6584854\nChile,CHL,2005,3.7382884\nChile,CHL,2006,3.879552\nChile,CHL,2007,4.226911\nChile,CHL,2008,4.189623\nChile,CHL,2009,3.8777666\nChile,CHL,2010,4.1525846\nChile,CHL,2011,4.4993253\nChile,CHL,2012,4.5448008\nChile,CHL,2013,4.6210914\nChile,CHL,2014,4.3431134\nChile,CHL,2015,4.5312576\nChile,CHL,2016,4.6121125\nChile,CHL,2017,4.533392\nChile,CHL,2018,4.469476\nChile,CHL,2019,4.7910333\nChile,CHL,2020,4.1391664\nChile,CHL,2021,4.298362\nChile,CHL,2022,4.385191\nChile,CHL,2023,3.9475496\nChile,CHL,2024,3.983124\n```\n\nWas co\u2082 emissions per capita in Chile higher in 1991 or 2020?","response":"Higher in 2020. The chart gives 2.26 t\/person for 1991 and 4.14 t\/person for 2020, a difference of 1.88 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nChile,CHL,1990,2.449037\nChile,CHL,1991,2.2610672\nChile,CHL,1992,2.3047636\nChile,CHL,1993,2.417898\nChile,CHL,1994,2.652569\nChile,CHL,1995,2.8609886\nChile,CHL,1996,3.2731185\nChile,CHL,1997,3.7463424\nChile,CHL,1998,3.784981\nChile,CHL,1999,4.0085335\nChile,CHL,2000,3.7734768\nChile,CHL,2001,3.3740683\nChile,CHL,2002,3.4579308\nChile,CHL,2003,3.4384434\nChile,CHL,2004,3.6584854\nChile,CHL,2005,3.7382884\nChile,CHL,2006,3.879552\nChile,CHL,2007,4.226911\nChile,CHL,2008,4.189623\nChile,CHL,2009,3.8777666\nChile,CHL,2010,4.1525846\nChile,CHL,2011,4.4993253\nChile,CHL,2012,4.5448008\nChile,CHL,2013,4.6210914\nChile,CHL,2014,4.3431134\nChile,CHL,2015,4.5312576\nChile,CHL,2016,4.6121125\nChile,CHL,2017,4.533392\nChile,CHL,2018,4.469476\nChile,CHL,2019,4.7910333\nChile,CHL,2020,4.1391664\nChile,CHL,2021,4.298362\nChile,CHL,2022,4.385191\nChile,CHL,2023,3.9475496\nChile,CHL,2024,3.983124\n```\n\nBased on this chart, is co\u2082 emissions per capita in Chile rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2.45 t\/person to 3.98 t\/person, a change of +62.64%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nChile,CHL,2016,4.6121125\nChile,CHL,2017,4.533392\nChile,CHL,2018,4.469476\nChile,CHL,2019,4.7910333\nChile,CHL,2020,4.1391664\nChile,CHL,2021,4.298362\nChile,CHL,2022,4.385191\nChile,CHL,2023,3.9475496\nChile,CHL,2024,3.983124\n```\n\nWhat does this chart suggest about the long-run direction of co\u2082 emissions per capita in Chile?","response":"Within the window shown (2016-2024) the series moves -13.64%, but that window runs against the longer record. Across the full series (1990-2024) the change is +62.64%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nChile,CHL,1990,2.449037\nChile,CHL,1991,2.2610672\nChile,CHL,1992,2.3047636\nChile,CHL,1993,2.417898\nChile,CHL,1994,2.652569\nChile,CHL,1995,2.8609886\nChile,CHL,1996,3.2731185\nChile,CHL,1997,3.7463424\nChile,CHL,1998,3.784981\nChile,CHL,1999,4.0085335\nChile,CHL,2000,3.7734768\nChile,CHL,2001,3.3740683\nChile,CHL,2002,3.4579308\nChile,CHL,2003,3.4384434\nChile,CHL,2004,3.6584854\nChile,CHL,2005,3.7382884\nChile,CHL,2006,3.879552\nChile,CHL,2007,4.226911\nChile,CHL,2008,4.189623\nChile,CHL,2009,3.8777666\nChile,CHL,2010,4.1525846\nChile,CHL,2011,4.4993253\nChile,CHL,2012,4.5448008\nChile,CHL,2013,4.6210914\nChile,CHL,2014,4.3431134\nChile,CHL,2015,4.5312576\nChile,CHL,2016,4.6121125\nChile,CHL,2017,4.533392\nChile,CHL,2018,4.469476\nChile,CHL,2019,4.7910333\nChile,CHL,2020,4.1391664\nChile,CHL,2021,4.298362\nChile,CHL,2022,4.385191\nChile,CHL,2023,3.9475496\nChile,CHL,2024,3.983124\n```\n\nWhat was co\u2082 emissions per capita for Chile in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 2.45 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Chile__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEgypt,EGY,1990,1.2480806\nEgypt,EGY,1991,1.2401799\nEgypt,EGY,1992,1.2592472\nEgypt,EGY,1993,1.4437534\nEgypt,EGY,1994,1.3608489\nEgypt,EGY,1995,1.4922212\nEgypt,EGY,1996,1.447787\nEgypt,EGY,1997,1.6210911\nEgypt,EGY,1998,1.7765288\nEgypt,EGY,1999,1.7755245\nEgypt,EGY,2000,1.9544393\nEgypt,EGY,2001,1.6928145\nEgypt,EGY,2002,1.6836745\nEgypt,EGY,2003,1.9261036\nEgypt,EGY,2004,1.9114492\nEgypt,EGY,2005,2.0583456\nEgypt,EGY,2006,2.1570544\nEgypt,EGY,2007,2.245012\nEgypt,EGY,2008,2.2810254\nEgypt,EGY,2009,2.345589\nEgypt,EGY,2010,2.2725692\nEgypt,EGY,2011,2.4335008\nEgypt,EGY,2012,2.28126\nEgypt,EGY,2013,2.2981055\nEgypt,EGY,2014,2.3301265\nEgypt,EGY,2015,2.2757032\nEgypt,EGY,2016,2.411969\nEgypt,EGY,2017,2.443332\nEgypt,EGY,2018,2.2889705\nEgypt,EGY,2019,2.1762276\nEgypt,EGY,2020,2.2533324\nEgypt,EGY,2021,2.4048865\nEgypt,EGY,2022,2.2189891\nEgypt,EGY,2023,2.1847339\nEgypt,EGY,2024,2.2170217\n```\n\nAccording to this chart, what was co\u2082 emissions per capita in Egypt in 1994?","response":"Reading the plotted point for 1994, co\u2082 emissions per capita in Egypt was 1.36 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEgypt,EGY,1990,1.2480806\nEgypt,EGY,1991,1.2401799\nEgypt,EGY,1992,1.2592472\nEgypt,EGY,1993,1.4437534\nEgypt,EGY,1994,1.3608489\nEgypt,EGY,1995,1.4922212\nEgypt,EGY,1996,1.447787\nEgypt,EGY,1997,1.6210911\nEgypt,EGY,1998,1.7765288\nEgypt,EGY,1999,1.7755245\nEgypt,EGY,2000,1.9544393\nEgypt,EGY,2001,1.6928145\nEgypt,EGY,2002,1.6836745\nEgypt,EGY,2003,1.9261036\nEgypt,EGY,2004,1.9114492\nEgypt,EGY,2005,2.0583456\nEgypt,EGY,2006,2.1570544\nEgypt,EGY,2007,2.245012\nEgypt,EGY,2008,2.2810254\nEgypt,EGY,2009,2.345589\nEgypt,EGY,2010,2.2725692\nEgypt,EGY,2011,2.4335008\nEgypt,EGY,2012,2.28126\nEgypt,EGY,2013,2.2981055\nEgypt,EGY,2014,2.3301265\nEgypt,EGY,2015,2.2757032\nEgypt,EGY,2016,2.411969\nEgypt,EGY,2017,2.443332\nEgypt,EGY,2018,2.2889705\nEgypt,EGY,2019,2.1762276\nEgypt,EGY,2020,2.2533324\nEgypt,EGY,2021,2.4048865\nEgypt,EGY,2022,2.2189891\nEgypt,EGY,2023,2.1847339\nEgypt,EGY,2024,2.2170217\n```\n\nIn which year shown does co\u2082 emissions per capita reach its highest value for Egypt?","response":"The series peaks in 2017, at 2.44 t\/person. The lowest point shown is 1991, at 1.24 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEgypt,EGY,1990,1.2480806\nEgypt,EGY,1991,1.2401799\nEgypt,EGY,1992,1.2592472\nEgypt,EGY,1993,1.4437534\nEgypt,EGY,1994,1.3608489\nEgypt,EGY,1995,1.4922212\nEgypt,EGY,1996,1.447787\nEgypt,EGY,1997,1.6210911\nEgypt,EGY,1998,1.7765288\nEgypt,EGY,1999,1.7755245\nEgypt,EGY,2000,1.9544393\nEgypt,EGY,2001,1.6928145\nEgypt,EGY,2002,1.6836745\nEgypt,EGY,2003,1.9261036\nEgypt,EGY,2004,1.9114492\nEgypt,EGY,2005,2.0583456\nEgypt,EGY,2006,2.1570544\nEgypt,EGY,2007,2.245012\nEgypt,EGY,2008,2.2810254\nEgypt,EGY,2009,2.345589\nEgypt,EGY,2010,2.2725692\nEgypt,EGY,2011,2.4335008\nEgypt,EGY,2012,2.28126\nEgypt,EGY,2013,2.2981055\nEgypt,EGY,2014,2.3301265\nEgypt,EGY,2015,2.2757032\nEgypt,EGY,2016,2.411969\nEgypt,EGY,2017,2.443332\nEgypt,EGY,2018,2.2889705\nEgypt,EGY,2019,2.1762276\nEgypt,EGY,2020,2.2533324\nEgypt,EGY,2021,2.4048865\nEgypt,EGY,2022,2.2189891\nEgypt,EGY,2023,2.1847339\nEgypt,EGY,2024,2.2170217\n```\n\nHow much did co\u2082 emissions per capita change for Egypt between 1990 and 2024?","response":"It moved from 1.25 t\/person in 1990 to 2.22 t\/person in 2024, a change of 0.97 t\/person (+77.63%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEgypt,EGY,1990,1.2480806\nEgypt,EGY,1991,1.2401799\nEgypt,EGY,1992,1.2592472\nEgypt,EGY,1993,1.4437534\nEgypt,EGY,1994,1.3608489\nEgypt,EGY,1995,1.4922212\nEgypt,EGY,1996,1.447787\nEgypt,EGY,1997,1.6210911\nEgypt,EGY,1998,1.7765288\nEgypt,EGY,1999,1.7755245\nEgypt,EGY,2000,1.9544393\nEgypt,EGY,2001,1.6928145\nEgypt,EGY,2002,1.6836745\nEgypt,EGY,2003,1.9261036\nEgypt,EGY,2004,1.9114492\nEgypt,EGY,2005,2.0583456\nEgypt,EGY,2006,2.1570544\nEgypt,EGY,2007,2.245012\nEgypt,EGY,2008,2.2810254\nEgypt,EGY,2009,2.345589\nEgypt,EGY,2010,2.2725692\nEgypt,EGY,2011,2.4335008\nEgypt,EGY,2012,2.28126\nEgypt,EGY,2013,2.2981055\nEgypt,EGY,2014,2.3301265\nEgypt,EGY,2015,2.2757032\nEgypt,EGY,2016,2.411969\nEgypt,EGY,2017,2.443332\nEgypt,EGY,2018,2.2889705\nEgypt,EGY,2019,2.1762276\nEgypt,EGY,2020,2.2533324\nEgypt,EGY,2021,2.4048865\nEgypt,EGY,2022,2.2189891\nEgypt,EGY,2023,2.1847339\nEgypt,EGY,2024,2.2170217\n```\n\nWas co\u2082 emissions per capita in Egypt higher in 1990 or 2010?","response":"Higher in 2010. The chart gives 1.25 t\/person for 1990 and 2.27 t\/person for 2010, a difference of 1.02 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEgypt,EGY,1990,1.2480806\nEgypt,EGY,1991,1.2401799\nEgypt,EGY,1992,1.2592472\nEgypt,EGY,1993,1.4437534\nEgypt,EGY,1994,1.3608489\nEgypt,EGY,1995,1.4922212\nEgypt,EGY,1996,1.447787\nEgypt,EGY,1997,1.6210911\nEgypt,EGY,1998,1.7765288\nEgypt,EGY,1999,1.7755245\nEgypt,EGY,2000,1.9544393\nEgypt,EGY,2001,1.6928145\nEgypt,EGY,2002,1.6836745\nEgypt,EGY,2003,1.9261036\nEgypt,EGY,2004,1.9114492\nEgypt,EGY,2005,2.0583456\nEgypt,EGY,2006,2.1570544\nEgypt,EGY,2007,2.245012\nEgypt,EGY,2008,2.2810254\nEgypt,EGY,2009,2.345589\nEgypt,EGY,2010,2.2725692\nEgypt,EGY,2011,2.4335008\nEgypt,EGY,2012,2.28126\nEgypt,EGY,2013,2.2981055\nEgypt,EGY,2014,2.3301265\nEgypt,EGY,2015,2.2757032\nEgypt,EGY,2016,2.411969\nEgypt,EGY,2017,2.443332\nEgypt,EGY,2018,2.2889705\nEgypt,EGY,2019,2.1762276\nEgypt,EGY,2020,2.2533324\nEgypt,EGY,2021,2.4048865\nEgypt,EGY,2022,2.2189891\nEgypt,EGY,2023,2.1847339\nEgypt,EGY,2024,2.2170217\n```\n\nAccording to this chart, what was co\u2082 emissions per capita in Egypt in 1994?","response":"Reading the plotted point for 1994, co\u2082 emissions per capita in Egypt was 1.36 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEgypt,EGY,1990,1.2480806\nEgypt,EGY,1991,1.2401799\nEgypt,EGY,1992,1.2592472\nEgypt,EGY,1993,1.4437534\nEgypt,EGY,1994,1.3608489\nEgypt,EGY,1995,1.4922212\nEgypt,EGY,1996,1.447787\nEgypt,EGY,1997,1.6210911\nEgypt,EGY,1998,1.7765288\nEgypt,EGY,1999,1.7755245\nEgypt,EGY,2000,1.9544393\nEgypt,EGY,2001,1.6928145\nEgypt,EGY,2002,1.6836745\nEgypt,EGY,2003,1.9261036\nEgypt,EGY,2004,1.9114492\nEgypt,EGY,2005,2.0583456\nEgypt,EGY,2006,2.1570544\nEgypt,EGY,2007,2.245012\nEgypt,EGY,2008,2.2810254\nEgypt,EGY,2009,2.345589\nEgypt,EGY,2010,2.2725692\nEgypt,EGY,2011,2.4335008\nEgypt,EGY,2012,2.28126\nEgypt,EGY,2013,2.2981055\nEgypt,EGY,2014,2.3301265\nEgypt,EGY,2015,2.2757032\nEgypt,EGY,2016,2.411969\nEgypt,EGY,2017,2.443332\nEgypt,EGY,2018,2.2889705\nEgypt,EGY,2019,2.1762276\nEgypt,EGY,2020,2.2533324\nEgypt,EGY,2021,2.4048865\nEgypt,EGY,2022,2.2189891\nEgypt,EGY,2023,2.1847339\nEgypt,EGY,2024,2.2170217\n```\n\nIn which year shown does co\u2082 emissions per capita reach its highest value for Egypt?","response":"The series peaks in 2017, at 2.44 t\/person. The lowest point shown is 1991, at 1.24 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEgypt,EGY,1990,1.2480806\nEgypt,EGY,1991,1.2401799\nEgypt,EGY,1992,1.2592472\nEgypt,EGY,1993,1.4437534\nEgypt,EGY,1994,1.3608489\nEgypt,EGY,1995,1.4922212\nEgypt,EGY,1996,1.447787\nEgypt,EGY,1997,1.6210911\nEgypt,EGY,1998,1.7765288\nEgypt,EGY,1999,1.7755245\nEgypt,EGY,2000,1.9544393\nEgypt,EGY,2001,1.6928145\nEgypt,EGY,2002,1.6836745\nEgypt,EGY,2003,1.9261036\nEgypt,EGY,2004,1.9114492\nEgypt,EGY,2005,2.0583456\nEgypt,EGY,2006,2.1570544\nEgypt,EGY,2007,2.245012\nEgypt,EGY,2008,2.2810254\nEgypt,EGY,2009,2.345589\nEgypt,EGY,2010,2.2725692\nEgypt,EGY,2011,2.4335008\nEgypt,EGY,2012,2.28126\nEgypt,EGY,2013,2.2981055\nEgypt,EGY,2014,2.3301265\nEgypt,EGY,2015,2.2757032\nEgypt,EGY,2016,2.411969\nEgypt,EGY,2017,2.443332\nEgypt,EGY,2018,2.2889705\nEgypt,EGY,2019,2.1762276\nEgypt,EGY,2020,2.2533324\nEgypt,EGY,2021,2.4048865\nEgypt,EGY,2022,2.2189891\nEgypt,EGY,2023,2.1847339\nEgypt,EGY,2024,2.2170217\n```\n\nHow much did co\u2082 emissions per capita change for Egypt between 1990 and 2024?","response":"It moved from 1.25 t\/person in 1990 to 2.22 t\/person in 2024, a change of 0.97 t\/person (+77.63%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEgypt,EGY,1990,1.2480806\nEgypt,EGY,1991,1.2401799\nEgypt,EGY,1992,1.2592472\nEgypt,EGY,1993,1.4437534\nEgypt,EGY,1994,1.3608489\nEgypt,EGY,1995,1.4922212\nEgypt,EGY,1996,1.447787\nEgypt,EGY,1997,1.6210911\nEgypt,EGY,1998,1.7765288\nEgypt,EGY,1999,1.7755245\nEgypt,EGY,2000,1.9544393\nEgypt,EGY,2001,1.6928145\nEgypt,EGY,2002,1.6836745\nEgypt,EGY,2003,1.9261036\nEgypt,EGY,2004,1.9114492\nEgypt,EGY,2005,2.0583456\nEgypt,EGY,2006,2.1570544\nEgypt,EGY,2007,2.245012\nEgypt,EGY,2008,2.2810254\nEgypt,EGY,2009,2.345589\nEgypt,EGY,2010,2.2725692\nEgypt,EGY,2011,2.4335008\nEgypt,EGY,2012,2.28126\nEgypt,EGY,2013,2.2981055\nEgypt,EGY,2014,2.3301265\nEgypt,EGY,2015,2.2757032\nEgypt,EGY,2016,2.411969\nEgypt,EGY,2017,2.443332\nEgypt,EGY,2018,2.2889705\nEgypt,EGY,2019,2.1762276\nEgypt,EGY,2020,2.2533324\nEgypt,EGY,2021,2.4048865\nEgypt,EGY,2022,2.2189891\nEgypt,EGY,2023,2.1847339\nEgypt,EGY,2024,2.2170217\n```\n\nWas co\u2082 emissions per capita in Egypt higher in 1990 or 2010?","response":"Higher in 2010. The chart gives 1.25 t\/person for 1990 and 2.27 t\/person for 2010, a difference of 1.02 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEgypt,EGY,1990,1.2480806\nEgypt,EGY,1991,1.2401799\nEgypt,EGY,1992,1.2592472\nEgypt,EGY,1993,1.4437534\nEgypt,EGY,1994,1.3608489\nEgypt,EGY,1995,1.4922212\nEgypt,EGY,1996,1.447787\nEgypt,EGY,1997,1.6210911\nEgypt,EGY,1998,1.7765288\nEgypt,EGY,1999,1.7755245\nEgypt,EGY,2000,1.9544393\nEgypt,EGY,2001,1.6928145\nEgypt,EGY,2002,1.6836745\nEgypt,EGY,2003,1.9261036\nEgypt,EGY,2004,1.9114492\nEgypt,EGY,2005,2.0583456\nEgypt,EGY,2006,2.1570544\nEgypt,EGY,2007,2.245012\nEgypt,EGY,2008,2.2810254\nEgypt,EGY,2009,2.345589\nEgypt,EGY,2010,2.2725692\nEgypt,EGY,2011,2.4335008\nEgypt,EGY,2012,2.28126\nEgypt,EGY,2013,2.2981055\nEgypt,EGY,2014,2.3301265\nEgypt,EGY,2015,2.2757032\nEgypt,EGY,2016,2.411969\nEgypt,EGY,2017,2.443332\nEgypt,EGY,2018,2.2889705\nEgypt,EGY,2019,2.1762276\nEgypt,EGY,2020,2.2533324\nEgypt,EGY,2021,2.4048865\nEgypt,EGY,2022,2.2189891\nEgypt,EGY,2023,2.1847339\nEgypt,EGY,2024,2.2170217\n```\n\nThis chart makes the change in co\u2082 emissions per capita for Egypt look dramatic. Is it?","response":"The values change by +77.63%, from 1.25 t\/person to 2.22 t\/person. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEgypt,EGY,1990,1.2480806\nEgypt,EGY,1991,1.2401799\nEgypt,EGY,1992,1.2592472\nEgypt,EGY,1993,1.4437534\nEgypt,EGY,1994,1.3608489\nEgypt,EGY,1995,1.4922212\nEgypt,EGY,1996,1.447787\nEgypt,EGY,1997,1.6210911\nEgypt,EGY,1998,1.7765288\nEgypt,EGY,1999,1.7755245\nEgypt,EGY,2000,1.9544393\nEgypt,EGY,2001,1.6928145\nEgypt,EGY,2002,1.6836745\nEgypt,EGY,2003,1.9261036\nEgypt,EGY,2004,1.9114492\nEgypt,EGY,2005,2.0583456\nEgypt,EGY,2006,2.1570544\nEgypt,EGY,2007,2.245012\nEgypt,EGY,2008,2.2810254\nEgypt,EGY,2009,2.345589\nEgypt,EGY,2010,2.2725692\nEgypt,EGY,2011,2.4335008\nEgypt,EGY,2012,2.28126\nEgypt,EGY,2013,2.2981055\nEgypt,EGY,2014,2.3301265\nEgypt,EGY,2015,2.2757032\nEgypt,EGY,2016,2.411969\nEgypt,EGY,2017,2.443332\nEgypt,EGY,2018,2.2889705\nEgypt,EGY,2019,2.1762276\nEgypt,EGY,2020,2.2533324\nEgypt,EGY,2021,2.4048865\nEgypt,EGY,2022,2.2189891\nEgypt,EGY,2023,2.1847339\nEgypt,EGY,2024,2.2170217\n```\n\nThis chart appears to show co\u2082 emissions per capita in Egypt rising steeply. How large is the increase actually?","response":"The plotted values run from 1.25 t\/person to 2.22 t\/person, so the actual change is +77.63%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 1.2161 instead of zero, which magnifies the visual change by roughly 2.11x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEgypt,EGY,2016,2.411969\nEgypt,EGY,2017,2.443332\nEgypt,EGY,2018,2.2889705\nEgypt,EGY,2019,2.1762276\nEgypt,EGY,2020,2.2533324\nEgypt,EGY,2021,2.4048865\nEgypt,EGY,2022,2.2189891\nEgypt,EGY,2023,2.1847339\nEgypt,EGY,2024,2.2170217\n```\n\nWhat does this chart suggest about the long-run direction of co\u2082 emissions per capita in Egypt?","response":"Within the window shown (2016-2024) the series moves -8.08%, but that window runs against the longer record. Across the full series (1990-2024) the change is +77.63%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEgypt,EGY,1990,1.2480806\nEgypt,EGY,1991,1.2401799\nEgypt,EGY,1992,1.2592472\nEgypt,EGY,1993,1.4437534\nEgypt,EGY,1994,1.3608489\nEgypt,EGY,1995,1.4922212\nEgypt,EGY,1996,1.447787\nEgypt,EGY,1997,1.6210911\nEgypt,EGY,1998,1.7765288\nEgypt,EGY,1999,1.7755245\nEgypt,EGY,2000,1.9544393\nEgypt,EGY,2001,1.6928145\nEgypt,EGY,2002,1.6836745\nEgypt,EGY,2003,1.9261036\nEgypt,EGY,2004,1.9114492\nEgypt,EGY,2005,2.0583456\nEgypt,EGY,2006,2.1570544\nEgypt,EGY,2007,2.245012\nEgypt,EGY,2008,2.2810254\nEgypt,EGY,2009,2.345589\nEgypt,EGY,2010,2.2725692\nEgypt,EGY,2011,2.4335008\nEgypt,EGY,2012,2.28126\nEgypt,EGY,2013,2.2981055\nEgypt,EGY,2014,2.3301265\nEgypt,EGY,2015,2.2757032\nEgypt,EGY,2016,2.411969\nEgypt,EGY,2017,2.443332\nEgypt,EGY,2018,2.2889705\nEgypt,EGY,2019,2.1762276\nEgypt,EGY,2020,2.2533324\nEgypt,EGY,2021,2.4048865\nEgypt,EGY,2022,2.2189891\nEgypt,EGY,2023,2.1847339\nEgypt,EGY,2024,2.2170217\n```\n\nWhat caused the change in co\u2082 emissions per capita for Egypt around 2001?","response":"The chart shows that the change happened: co\u2082 emissions per capita moves to 1.69 t\/person in 2001. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Egypt__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nBangladesh,BGD,1990,0.12614106\nBangladesh,BGD,1991,0.12965418\nBangladesh,BGD,1992,0.13273484\nBangladesh,BGD,1993,0.136067\nBangladesh,BGD,1994,0.14585535\nBangladesh,BGD,1995,0.17174801\nBangladesh,BGD,1996,0.17224969\nBangladesh,BGD,1997,0.18195334\nBangladesh,BGD,1998,0.17910586\nBangladesh,BGD,1999,0.18994531\nBangladesh,BGD,2000,0.19725299\nBangladesh,BGD,2001,0.22706799\nBangladesh,BGD,2002,0.23037535\nBangladesh,BGD,2003,0.23760977\nBangladesh,BGD,2004,0.25176665\nBangladesh,BGD,2005,0.26062584\nBangladesh,BGD,2006,0.2850007\nBangladesh,BGD,2007,0.28836617\nBangladesh,BGD,2008,0.30333978\nBangladesh,BGD,2009,0.3260235\nBangladesh,BGD,2010,0.3550251\nBangladesh,BGD,2011,0.36195275\nBangladesh,BGD,2012,0.38501203\nBangladesh,BGD,2013,0.41373482\nBangladesh,BGD,2014,0.4276385\nBangladesh,BGD,2015,0.48277447\nBangladesh,BGD,2016,0.5084272\nBangladesh,BGD,2017,0.53352815\nBangladesh,BGD,2018,0.52963835\nBangladesh,BGD,2019,0.57489496\nBangladesh,BGD,2020,0.5756478\nBangladesh,BGD,2021,0.58768314\nBangladesh,BGD,2022,0.6030491\nBangladesh,BGD,2023,0.60960233\nBangladesh,BGD,2024,0.6240862\n```\n\nAccording to this chart, what was co\u2082 emissions per capita in Bangladesh in 1990?","response":"Reading the plotted point for 1990, co\u2082 emissions per capita in Bangladesh was 0.13 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nBangladesh,BGD,1990,0.12614106\nBangladesh,BGD,1991,0.12965418\nBangladesh,BGD,1992,0.13273484\nBangladesh,BGD,1993,0.136067\nBangladesh,BGD,1994,0.14585535\nBangladesh,BGD,1995,0.17174801\nBangladesh,BGD,1996,0.17224969\nBangladesh,BGD,1997,0.18195334\nBangladesh,BGD,1998,0.17910586\nBangladesh,BGD,1999,0.18994531\nBangladesh,BGD,2000,0.19725299\nBangladesh,BGD,2001,0.22706799\nBangladesh,BGD,2002,0.23037535\nBangladesh,BGD,2003,0.23760977\nBangladesh,BGD,2004,0.25176665\nBangladesh,BGD,2005,0.26062584\nBangladesh,BGD,2006,0.2850007\nBangladesh,BGD,2007,0.28836617\nBangladesh,BGD,2008,0.30333978\nBangladesh,BGD,2009,0.3260235\nBangladesh,BGD,2010,0.3550251\nBangladesh,BGD,2011,0.36195275\nBangladesh,BGD,2012,0.38501203\nBangladesh,BGD,2013,0.41373482\nBangladesh,BGD,2014,0.4276385\nBangladesh,BGD,2015,0.48277447\nBangladesh,BGD,2016,0.5084272\nBangladesh,BGD,2017,0.53352815\nBangladesh,BGD,2018,0.52963835\nBangladesh,BGD,2019,0.57489496\nBangladesh,BGD,2020,0.5756478\nBangladesh,BGD,2021,0.58768314\nBangladesh,BGD,2022,0.6030491\nBangladesh,BGD,2023,0.60960233\nBangladesh,BGD,2024,0.6240862\n```\n\nIn which year shown does co\u2082 emissions per capita reach its highest value for Bangladesh?","response":"The series peaks in 2024, at 0.62 t\/person. The lowest point shown is 1990, at 0.13 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nBangladesh,BGD,1990,0.12614106\nBangladesh,BGD,1991,0.12965418\nBangladesh,BGD,1992,0.13273484\nBangladesh,BGD,1993,0.136067\nBangladesh,BGD,1994,0.14585535\nBangladesh,BGD,1995,0.17174801\nBangladesh,BGD,1996,0.17224969\nBangladesh,BGD,1997,0.18195334\nBangladesh,BGD,1998,0.17910586\nBangladesh,BGD,1999,0.18994531\nBangladesh,BGD,2000,0.19725299\nBangladesh,BGD,2001,0.22706799\nBangladesh,BGD,2002,0.23037535\nBangladesh,BGD,2003,0.23760977\nBangladesh,BGD,2004,0.25176665\nBangladesh,BGD,2005,0.26062584\nBangladesh,BGD,2006,0.2850007\nBangladesh,BGD,2007,0.28836617\nBangladesh,BGD,2008,0.30333978\nBangladesh,BGD,2009,0.3260235\nBangladesh,BGD,2010,0.3550251\nBangladesh,BGD,2011,0.36195275\nBangladesh,BGD,2012,0.38501203\nBangladesh,BGD,2013,0.41373482\nBangladesh,BGD,2014,0.4276385\nBangladesh,BGD,2015,0.48277447\nBangladesh,BGD,2016,0.5084272\nBangladesh,BGD,2017,0.53352815\nBangladesh,BGD,2018,0.52963835\nBangladesh,BGD,2019,0.57489496\nBangladesh,BGD,2020,0.5756478\nBangladesh,BGD,2021,0.58768314\nBangladesh,BGD,2022,0.6030491\nBangladesh,BGD,2023,0.60960233\nBangladesh,BGD,2024,0.6240862\n```\n\nHow much did co\u2082 emissions per capita change for Bangladesh between 1990 and 2024?","response":"It moved from 0.13 t\/person in 1990 to 0.62 t\/person in 2024, a change of 0.5 t\/person (+394.75%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nBangladesh,BGD,1990,0.12614106\nBangladesh,BGD,1991,0.12965418\nBangladesh,BGD,1992,0.13273484\nBangladesh,BGD,1993,0.136067\nBangladesh,BGD,1994,0.14585535\nBangladesh,BGD,1995,0.17174801\nBangladesh,BGD,1996,0.17224969\nBangladesh,BGD,1997,0.18195334\nBangladesh,BGD,1998,0.17910586\nBangladesh,BGD,1999,0.18994531\nBangladesh,BGD,2000,0.19725299\nBangladesh,BGD,2001,0.22706799\nBangladesh,BGD,2002,0.23037535\nBangladesh,BGD,2003,0.23760977\nBangladesh,BGD,2004,0.25176665\nBangladesh,BGD,2005,0.26062584\nBangladesh,BGD,2006,0.2850007\nBangladesh,BGD,2007,0.28836617\nBangladesh,BGD,2008,0.30333978\nBangladesh,BGD,2009,0.3260235\nBangladesh,BGD,2010,0.3550251\nBangladesh,BGD,2011,0.36195275\nBangladesh,BGD,2012,0.38501203\nBangladesh,BGD,2013,0.41373482\nBangladesh,BGD,2014,0.4276385\nBangladesh,BGD,2015,0.48277447\nBangladesh,BGD,2016,0.5084272\nBangladesh,BGD,2017,0.53352815\nBangladesh,BGD,2018,0.52963835\nBangladesh,BGD,2019,0.57489496\nBangladesh,BGD,2020,0.5756478\nBangladesh,BGD,2021,0.58768314\nBangladesh,BGD,2022,0.6030491\nBangladesh,BGD,2023,0.60960233\nBangladesh,BGD,2024,0.6240862\n```\n\nWas co\u2082 emissions per capita in Bangladesh higher in 1997 or 2009?","response":"Higher in 2009. The chart gives 0.18 t\/person for 1997 and 0.33 t\/person for 2009, a difference of 0.14 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nBangladesh,BGD,1990,0.12614106\nBangladesh,BGD,1991,0.12965418\nBangladesh,BGD,1992,0.13273484\nBangladesh,BGD,1993,0.136067\nBangladesh,BGD,1994,0.14585535\nBangladesh,BGD,1995,0.17174801\nBangladesh,BGD,1996,0.17224969\nBangladesh,BGD,1997,0.18195334\nBangladesh,BGD,1998,0.17910586\nBangladesh,BGD,1999,0.18994531\nBangladesh,BGD,2000,0.19725299\nBangladesh,BGD,2001,0.22706799\nBangladesh,BGD,2002,0.23037535\nBangladesh,BGD,2003,0.23760977\nBangladesh,BGD,2004,0.25176665\nBangladesh,BGD,2005,0.26062584\nBangladesh,BGD,2006,0.2850007\nBangladesh,BGD,2007,0.28836617\nBangladesh,BGD,2008,0.30333978\nBangladesh,BGD,2009,0.3260235\nBangladesh,BGD,2010,0.3550251\nBangladesh,BGD,2011,0.36195275\nBangladesh,BGD,2012,0.38501203\nBangladesh,BGD,2013,0.41373482\nBangladesh,BGD,2014,0.4276385\nBangladesh,BGD,2015,0.48277447\nBangladesh,BGD,2016,0.5084272\nBangladesh,BGD,2017,0.53352815\nBangladesh,BGD,2018,0.52963835\nBangladesh,BGD,2019,0.57489496\nBangladesh,BGD,2020,0.5756478\nBangladesh,BGD,2021,0.58768314\nBangladesh,BGD,2022,0.6030491\nBangladesh,BGD,2023,0.60960233\nBangladesh,BGD,2024,0.6240862\n```\n\nAccording to this chart, what was co\u2082 emissions per capita in Bangladesh in 1990?","response":"Reading the plotted point for 1990, co\u2082 emissions per capita in Bangladesh was 0.13 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nBangladesh,BGD,1990,0.12614106\nBangladesh,BGD,1991,0.12965418\nBangladesh,BGD,1992,0.13273484\nBangladesh,BGD,1993,0.136067\nBangladesh,BGD,1994,0.14585535\nBangladesh,BGD,1995,0.17174801\nBangladesh,BGD,1996,0.17224969\nBangladesh,BGD,1997,0.18195334\nBangladesh,BGD,1998,0.17910586\nBangladesh,BGD,1999,0.18994531\nBangladesh,BGD,2000,0.19725299\nBangladesh,BGD,2001,0.22706799\nBangladesh,BGD,2002,0.23037535\nBangladesh,BGD,2003,0.23760977\nBangladesh,BGD,2004,0.25176665\nBangladesh,BGD,2005,0.26062584\nBangladesh,BGD,2006,0.2850007\nBangladesh,BGD,2007,0.28836617\nBangladesh,BGD,2008,0.30333978\nBangladesh,BGD,2009,0.3260235\nBangladesh,BGD,2010,0.3550251\nBangladesh,BGD,2011,0.36195275\nBangladesh,BGD,2012,0.38501203\nBangladesh,BGD,2013,0.41373482\nBangladesh,BGD,2014,0.4276385\nBangladesh,BGD,2015,0.48277447\nBangladesh,BGD,2016,0.5084272\nBangladesh,BGD,2017,0.53352815\nBangladesh,BGD,2018,0.52963835\nBangladesh,BGD,2019,0.57489496\nBangladesh,BGD,2020,0.5756478\nBangladesh,BGD,2021,0.58768314\nBangladesh,BGD,2022,0.6030491\nBangladesh,BGD,2023,0.60960233\nBangladesh,BGD,2024,0.6240862\n```\n\nIn which year shown does co\u2082 emissions per capita reach its highest value for Bangladesh?","response":"The series peaks in 2024, at 0.62 t\/person. The lowest point shown is 1990, at 0.13 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nBangladesh,BGD,1990,0.12614106\nBangladesh,BGD,1991,0.12965418\nBangladesh,BGD,1992,0.13273484\nBangladesh,BGD,1993,0.136067\nBangladesh,BGD,1994,0.14585535\nBangladesh,BGD,1995,0.17174801\nBangladesh,BGD,1996,0.17224969\nBangladesh,BGD,1997,0.18195334\nBangladesh,BGD,1998,0.17910586\nBangladesh,BGD,1999,0.18994531\nBangladesh,BGD,2000,0.19725299\nBangladesh,BGD,2001,0.22706799\nBangladesh,BGD,2002,0.23037535\nBangladesh,BGD,2003,0.23760977\nBangladesh,BGD,2004,0.25176665\nBangladesh,BGD,2005,0.26062584\nBangladesh,BGD,2006,0.2850007\nBangladesh,BGD,2007,0.28836617\nBangladesh,BGD,2008,0.30333978\nBangladesh,BGD,2009,0.3260235\nBangladesh,BGD,2010,0.3550251\nBangladesh,BGD,2011,0.36195275\nBangladesh,BGD,2012,0.38501203\nBangladesh,BGD,2013,0.41373482\nBangladesh,BGD,2014,0.4276385\nBangladesh,BGD,2015,0.48277447\nBangladesh,BGD,2016,0.5084272\nBangladesh,BGD,2017,0.53352815\nBangladesh,BGD,2018,0.52963835\nBangladesh,BGD,2019,0.57489496\nBangladesh,BGD,2020,0.5756478\nBangladesh,BGD,2021,0.58768314\nBangladesh,BGD,2022,0.6030491\nBangladesh,BGD,2023,0.60960233\nBangladesh,BGD,2024,0.6240862\n```\n\nHow much did co\u2082 emissions per capita change for Bangladesh between 1990 and 2024?","response":"It moved from 0.13 t\/person in 1990 to 0.62 t\/person in 2024, a change of 0.5 t\/person (+394.75%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nBangladesh,BGD,1990,0.12614106\nBangladesh,BGD,1991,0.12965418\nBangladesh,BGD,1992,0.13273484\nBangladesh,BGD,1993,0.136067\nBangladesh,BGD,1994,0.14585535\nBangladesh,BGD,1995,0.17174801\nBangladesh,BGD,1996,0.17224969\nBangladesh,BGD,1997,0.18195334\nBangladesh,BGD,1998,0.17910586\nBangladesh,BGD,1999,0.18994531\nBangladesh,BGD,2000,0.19725299\nBangladesh,BGD,2001,0.22706799\nBangladesh,BGD,2002,0.23037535\nBangladesh,BGD,2003,0.23760977\nBangladesh,BGD,2004,0.25176665\nBangladesh,BGD,2005,0.26062584\nBangladesh,BGD,2006,0.2850007\nBangladesh,BGD,2007,0.28836617\nBangladesh,BGD,2008,0.30333978\nBangladesh,BGD,2009,0.3260235\nBangladesh,BGD,2010,0.3550251\nBangladesh,BGD,2011,0.36195275\nBangladesh,BGD,2012,0.38501203\nBangladesh,BGD,2013,0.41373482\nBangladesh,BGD,2014,0.4276385\nBangladesh,BGD,2015,0.48277447\nBangladesh,BGD,2016,0.5084272\nBangladesh,BGD,2017,0.53352815\nBangladesh,BGD,2018,0.52963835\nBangladesh,BGD,2019,0.57489496\nBangladesh,BGD,2020,0.5756478\nBangladesh,BGD,2021,0.58768314\nBangladesh,BGD,2022,0.6030491\nBangladesh,BGD,2023,0.60960233\nBangladesh,BGD,2024,0.6240862\n```\n\nWas co\u2082 emissions per capita in Bangladesh higher in 1997 or 2009?","response":"Higher in 2009. The chart gives 0.18 t\/person for 1997 and 0.33 t\/person for 2009, a difference of 0.14 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nBangladesh,BGD,1990,0.12614106\nBangladesh,BGD,1991,0.12965418\nBangladesh,BGD,1992,0.13273484\nBangladesh,BGD,1993,0.136067\nBangladesh,BGD,1994,0.14585535\nBangladesh,BGD,1995,0.17174801\nBangladesh,BGD,1996,0.17224969\nBangladesh,BGD,1997,0.18195334\nBangladesh,BGD,1998,0.17910586\nBangladesh,BGD,1999,0.18994531\nBangladesh,BGD,2000,0.19725299\nBangladesh,BGD,2001,0.22706799\nBangladesh,BGD,2002,0.23037535\nBangladesh,BGD,2003,0.23760977\nBangladesh,BGD,2004,0.25176665\nBangladesh,BGD,2005,0.26062584\nBangladesh,BGD,2006,0.2850007\nBangladesh,BGD,2007,0.28836617\nBangladesh,BGD,2008,0.30333978\nBangladesh,BGD,2009,0.3260235\nBangladesh,BGD,2010,0.3550251\nBangladesh,BGD,2011,0.36195275\nBangladesh,BGD,2012,0.38501203\nBangladesh,BGD,2013,0.41373482\nBangladesh,BGD,2014,0.4276385\nBangladesh,BGD,2015,0.48277447\nBangladesh,BGD,2016,0.5084272\nBangladesh,BGD,2017,0.53352815\nBangladesh,BGD,2018,0.52963835\nBangladesh,BGD,2019,0.57489496\nBangladesh,BGD,2020,0.5756478\nBangladesh,BGD,2021,0.58768314\nBangladesh,BGD,2022,0.6030491\nBangladesh,BGD,2023,0.60960233\nBangladesh,BGD,2024,0.6240862\n```\n\nBased on this chart, is co\u2082 emissions per capita in Bangladesh rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.13 t\/person to 0.62 t\/person, a change of +394.75%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nBangladesh,BGD,1990,0.12614106\nBangladesh,BGD,1991,0.12965418\nBangladesh,BGD,1992,0.13273484\nBangladesh,BGD,1993,0.136067\nBangladesh,BGD,1994,0.14585535\nBangladesh,BGD,1995,0.17174801\nBangladesh,BGD,1996,0.17224969\nBangladesh,BGD,1997,0.18195334\nBangladesh,BGD,1998,0.17910586\nBangladesh,BGD,1999,0.18994531\nBangladesh,BGD,2000,0.19725299\nBangladesh,BGD,2001,0.22706799\nBangladesh,BGD,2002,0.23037535\nBangladesh,BGD,2003,0.23760977\nBangladesh,BGD,2004,0.25176665\nBangladesh,BGD,2005,0.26062584\nBangladesh,BGD,2006,0.2850007\nBangladesh,BGD,2007,0.28836617\nBangladesh,BGD,2008,0.30333978\nBangladesh,BGD,2009,0.3260235\nBangladesh,BGD,2010,0.3550251\nBangladesh,BGD,2011,0.36195275\nBangladesh,BGD,2012,0.38501203\nBangladesh,BGD,2013,0.41373482\nBangladesh,BGD,2014,0.4276385\nBangladesh,BGD,2015,0.48277447\nBangladesh,BGD,2016,0.5084272\nBangladesh,BGD,2017,0.53352815\nBangladesh,BGD,2018,0.52963835\nBangladesh,BGD,2019,0.57489496\nBangladesh,BGD,2020,0.5756478\nBangladesh,BGD,2021,0.58768314\nBangladesh,BGD,2022,0.6030491\nBangladesh,BGD,2023,0.60960233\nBangladesh,BGD,2024,0.6240862\n```\n\nWhat caused the change in co\u2082 emissions per capita for Bangladesh around 2015?","response":"The chart shows that the change happened: co\u2082 emissions per capita moves to 0.48 t\/person in 2015. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Bangladesh__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEthiopia,ETH,1990,0.06272888\nEthiopia,ETH,1991,0.059506003\nEthiopia,ETH,1992,0.056634992\nEthiopia,ETH,1993,0.05573794\nEthiopia,ETH,1994,0.03950982\nEthiopia,ETH,1995,0.04355351\nEthiopia,ETH,1996,0.046986714\nEthiopia,ETH,1997,0.048533186\nEthiopia,ETH,1998,0.04967246\nEthiopia,ETH,1999,0.0473315\nEthiopia,ETH,2000,0.051368907\nEthiopia,ETH,2001,0.06137175\nEthiopia,ETH,2002,0.06186438\nEthiopia,ETH,2003,0.06596311\nEthiopia,ETH,2004,0.06780678\nEthiopia,ETH,2005,0.06324217\nEthiopia,ETH,2006,0.065897726\nEthiopia,ETH,2007,0.07026919\nEthiopia,ETH,2008,0.0750213\nEthiopia,ETH,2009,0.073328234\nEthiopia,ETH,2010,0.070071824\nEthiopia,ETH,2011,0.07895706\nEthiopia,ETH,2012,0.08338755\nEthiopia,ETH,2013,0.09898247\nEthiopia,ETH,2014,0.11415848\nEthiopia,ETH,2015,0.12095851\nEthiopia,ETH,2016,0.13421538\nEthiopia,ETH,2017,0.13315514\nEthiopia,ETH,2018,0.14305523\nEthiopia,ETH,2019,0.1484148\nEthiopia,ETH,2020,0.14072774\nEthiopia,ETH,2021,0.1466006\nEthiopia,ETH,2022,0.13526215\nEthiopia,ETH,2023,0.13653299\nEthiopia,ETH,2024,0.13506985\n```\n\nAccording to this chart, what was co\u2082 emissions per capita in Ethiopia in 2023?","response":"Reading the plotted point for 2023, co\u2082 emissions per capita in Ethiopia was 0.14 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEthiopia,ETH,1990,0.06272888\nEthiopia,ETH,1991,0.059506003\nEthiopia,ETH,1992,0.056634992\nEthiopia,ETH,1993,0.05573794\nEthiopia,ETH,1994,0.03950982\nEthiopia,ETH,1995,0.04355351\nEthiopia,ETH,1996,0.046986714\nEthiopia,ETH,1997,0.048533186\nEthiopia,ETH,1998,0.04967246\nEthiopia,ETH,1999,0.0473315\nEthiopia,ETH,2000,0.051368907\nEthiopia,ETH,2001,0.06137175\nEthiopia,ETH,2002,0.06186438\nEthiopia,ETH,2003,0.06596311\nEthiopia,ETH,2004,0.06780678\nEthiopia,ETH,2005,0.06324217\nEthiopia,ETH,2006,0.065897726\nEthiopia,ETH,2007,0.07026919\nEthiopia,ETH,2008,0.0750213\nEthiopia,ETH,2009,0.073328234\nEthiopia,ETH,2010,0.070071824\nEthiopia,ETH,2011,0.07895706\nEthiopia,ETH,2012,0.08338755\nEthiopia,ETH,2013,0.09898247\nEthiopia,ETH,2014,0.11415848\nEthiopia,ETH,2015,0.12095851\nEthiopia,ETH,2016,0.13421538\nEthiopia,ETH,2017,0.13315514\nEthiopia,ETH,2018,0.14305523\nEthiopia,ETH,2019,0.1484148\nEthiopia,ETH,2020,0.14072774\nEthiopia,ETH,2021,0.1466006\nEthiopia,ETH,2022,0.13526215\nEthiopia,ETH,2023,0.13653299\nEthiopia,ETH,2024,0.13506985\n```\n\nIn which year shown does co\u2082 emissions per capita reach its highest value for Ethiopia?","response":"The series peaks in 2019, at 0.15 t\/person. The lowest point shown is 1994, at 0.04 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEthiopia,ETH,1990,0.06272888\nEthiopia,ETH,1991,0.059506003\nEthiopia,ETH,1992,0.056634992\nEthiopia,ETH,1993,0.05573794\nEthiopia,ETH,1994,0.03950982\nEthiopia,ETH,1995,0.04355351\nEthiopia,ETH,1996,0.046986714\nEthiopia,ETH,1997,0.048533186\nEthiopia,ETH,1998,0.04967246\nEthiopia,ETH,1999,0.0473315\nEthiopia,ETH,2000,0.051368907\nEthiopia,ETH,2001,0.06137175\nEthiopia,ETH,2002,0.06186438\nEthiopia,ETH,2003,0.06596311\nEthiopia,ETH,2004,0.06780678\nEthiopia,ETH,2005,0.06324217\nEthiopia,ETH,2006,0.065897726\nEthiopia,ETH,2007,0.07026919\nEthiopia,ETH,2008,0.0750213\nEthiopia,ETH,2009,0.073328234\nEthiopia,ETH,2010,0.070071824\nEthiopia,ETH,2011,0.07895706\nEthiopia,ETH,2012,0.08338755\nEthiopia,ETH,2013,0.09898247\nEthiopia,ETH,2014,0.11415848\nEthiopia,ETH,2015,0.12095851\nEthiopia,ETH,2016,0.13421538\nEthiopia,ETH,2017,0.13315514\nEthiopia,ETH,2018,0.14305523\nEthiopia,ETH,2019,0.1484148\nEthiopia,ETH,2020,0.14072774\nEthiopia,ETH,2021,0.1466006\nEthiopia,ETH,2022,0.13526215\nEthiopia,ETH,2023,0.13653299\nEthiopia,ETH,2024,0.13506985\n```\n\nHow much did co\u2082 emissions per capita change for Ethiopia between 1990 and 2024?","response":"It moved from 0.06 t\/person in 1990 to 0.14 t\/person in 2024, a change of 0.07 t\/person (+115.32%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEthiopia,ETH,1990,0.06272888\nEthiopia,ETH,1991,0.059506003\nEthiopia,ETH,1992,0.056634992\nEthiopia,ETH,1993,0.05573794\nEthiopia,ETH,1994,0.03950982\nEthiopia,ETH,1995,0.04355351\nEthiopia,ETH,1996,0.046986714\nEthiopia,ETH,1997,0.048533186\nEthiopia,ETH,1998,0.04967246\nEthiopia,ETH,1999,0.0473315\nEthiopia,ETH,2000,0.051368907\nEthiopia,ETH,2001,0.06137175\nEthiopia,ETH,2002,0.06186438\nEthiopia,ETH,2003,0.06596311\nEthiopia,ETH,2004,0.06780678\nEthiopia,ETH,2005,0.06324217\nEthiopia,ETH,2006,0.065897726\nEthiopia,ETH,2007,0.07026919\nEthiopia,ETH,2008,0.0750213\nEthiopia,ETH,2009,0.073328234\nEthiopia,ETH,2010,0.070071824\nEthiopia,ETH,2011,0.07895706\nEthiopia,ETH,2012,0.08338755\nEthiopia,ETH,2013,0.09898247\nEthiopia,ETH,2014,0.11415848\nEthiopia,ETH,2015,0.12095851\nEthiopia,ETH,2016,0.13421538\nEthiopia,ETH,2017,0.13315514\nEthiopia,ETH,2018,0.14305523\nEthiopia,ETH,2019,0.1484148\nEthiopia,ETH,2020,0.14072774\nEthiopia,ETH,2021,0.1466006\nEthiopia,ETH,2022,0.13526215\nEthiopia,ETH,2023,0.13653299\nEthiopia,ETH,2024,0.13506985\n```\n\nWas co\u2082 emissions per capita in Ethiopia higher in 1997 or 2011?","response":"Higher in 2011. The chart gives 0.05 t\/person for 1997 and 0.08 t\/person for 2011, a difference of 0.03 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEthiopia,ETH,1990,0.06272888\nEthiopia,ETH,1991,0.059506003\nEthiopia,ETH,1992,0.056634992\nEthiopia,ETH,1993,0.05573794\nEthiopia,ETH,1994,0.03950982\nEthiopia,ETH,1995,0.04355351\nEthiopia,ETH,1996,0.046986714\nEthiopia,ETH,1997,0.048533186\nEthiopia,ETH,1998,0.04967246\nEthiopia,ETH,1999,0.0473315\nEthiopia,ETH,2000,0.051368907\nEthiopia,ETH,2001,0.06137175\nEthiopia,ETH,2002,0.06186438\nEthiopia,ETH,2003,0.06596311\nEthiopia,ETH,2004,0.06780678\nEthiopia,ETH,2005,0.06324217\nEthiopia,ETH,2006,0.065897726\nEthiopia,ETH,2007,0.07026919\nEthiopia,ETH,2008,0.0750213\nEthiopia,ETH,2009,0.073328234\nEthiopia,ETH,2010,0.070071824\nEthiopia,ETH,2011,0.07895706\nEthiopia,ETH,2012,0.08338755\nEthiopia,ETH,2013,0.09898247\nEthiopia,ETH,2014,0.11415848\nEthiopia,ETH,2015,0.12095851\nEthiopia,ETH,2016,0.13421538\nEthiopia,ETH,2017,0.13315514\nEthiopia,ETH,2018,0.14305523\nEthiopia,ETH,2019,0.1484148\nEthiopia,ETH,2020,0.14072774\nEthiopia,ETH,2021,0.1466006\nEthiopia,ETH,2022,0.13526215\nEthiopia,ETH,2023,0.13653299\nEthiopia,ETH,2024,0.13506985\n```\n\nAccording to this chart, what was co\u2082 emissions per capita in Ethiopia in 2023?","response":"Reading the plotted point for 2023, co\u2082 emissions per capita in Ethiopia was 0.14 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEthiopia,ETH,1990,0.06272888\nEthiopia,ETH,1991,0.059506003\nEthiopia,ETH,1992,0.056634992\nEthiopia,ETH,1993,0.05573794\nEthiopia,ETH,1994,0.03950982\nEthiopia,ETH,1995,0.04355351\nEthiopia,ETH,1996,0.046986714\nEthiopia,ETH,1997,0.048533186\nEthiopia,ETH,1998,0.04967246\nEthiopia,ETH,1999,0.0473315\nEthiopia,ETH,2000,0.051368907\nEthiopia,ETH,2001,0.06137175\nEthiopia,ETH,2002,0.06186438\nEthiopia,ETH,2003,0.06596311\nEthiopia,ETH,2004,0.06780678\nEthiopia,ETH,2005,0.06324217\nEthiopia,ETH,2006,0.065897726\nEthiopia,ETH,2007,0.07026919\nEthiopia,ETH,2008,0.0750213\nEthiopia,ETH,2009,0.073328234\nEthiopia,ETH,2010,0.070071824\nEthiopia,ETH,2011,0.07895706\nEthiopia,ETH,2012,0.08338755\nEthiopia,ETH,2013,0.09898247\nEthiopia,ETH,2014,0.11415848\nEthiopia,ETH,2015,0.12095851\nEthiopia,ETH,2016,0.13421538\nEthiopia,ETH,2017,0.13315514\nEthiopia,ETH,2018,0.14305523\nEthiopia,ETH,2019,0.1484148\nEthiopia,ETH,2020,0.14072774\nEthiopia,ETH,2021,0.1466006\nEthiopia,ETH,2022,0.13526215\nEthiopia,ETH,2023,0.13653299\nEthiopia,ETH,2024,0.13506985\n```\n\nIn which year shown does co\u2082 emissions per capita reach its highest value for Ethiopia?","response":"The series peaks in 2019, at 0.15 t\/person. The lowest point shown is 1994, at 0.04 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEthiopia,ETH,1990,0.06272888\nEthiopia,ETH,1991,0.059506003\nEthiopia,ETH,1992,0.056634992\nEthiopia,ETH,1993,0.05573794\nEthiopia,ETH,1994,0.03950982\nEthiopia,ETH,1995,0.04355351\nEthiopia,ETH,1996,0.046986714\nEthiopia,ETH,1997,0.048533186\nEthiopia,ETH,1998,0.04967246\nEthiopia,ETH,1999,0.0473315\nEthiopia,ETH,2000,0.051368907\nEthiopia,ETH,2001,0.06137175\nEthiopia,ETH,2002,0.06186438\nEthiopia,ETH,2003,0.06596311\nEthiopia,ETH,2004,0.06780678\nEthiopia,ETH,2005,0.06324217\nEthiopia,ETH,2006,0.065897726\nEthiopia,ETH,2007,0.07026919\nEthiopia,ETH,2008,0.0750213\nEthiopia,ETH,2009,0.073328234\nEthiopia,ETH,2010,0.070071824\nEthiopia,ETH,2011,0.07895706\nEthiopia,ETH,2012,0.08338755\nEthiopia,ETH,2013,0.09898247\nEthiopia,ETH,2014,0.11415848\nEthiopia,ETH,2015,0.12095851\nEthiopia,ETH,2016,0.13421538\nEthiopia,ETH,2017,0.13315514\nEthiopia,ETH,2018,0.14305523\nEthiopia,ETH,2019,0.1484148\nEthiopia,ETH,2020,0.14072774\nEthiopia,ETH,2021,0.1466006\nEthiopia,ETH,2022,0.13526215\nEthiopia,ETH,2023,0.13653299\nEthiopia,ETH,2024,0.13506985\n```\n\nHow much did co\u2082 emissions per capita change for Ethiopia between 1990 and 2024?","response":"It moved from 0.06 t\/person in 1990 to 0.14 t\/person in 2024, a change of 0.07 t\/person (+115.32%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEthiopia,ETH,1990,0.06272888\nEthiopia,ETH,1991,0.059506003\nEthiopia,ETH,1992,0.056634992\nEthiopia,ETH,1993,0.05573794\nEthiopia,ETH,1994,0.03950982\nEthiopia,ETH,1995,0.04355351\nEthiopia,ETH,1996,0.046986714\nEthiopia,ETH,1997,0.048533186\nEthiopia,ETH,1998,0.04967246\nEthiopia,ETH,1999,0.0473315\nEthiopia,ETH,2000,0.051368907\nEthiopia,ETH,2001,0.06137175\nEthiopia,ETH,2002,0.06186438\nEthiopia,ETH,2003,0.06596311\nEthiopia,ETH,2004,0.06780678\nEthiopia,ETH,2005,0.06324217\nEthiopia,ETH,2006,0.065897726\nEthiopia,ETH,2007,0.07026919\nEthiopia,ETH,2008,0.0750213\nEthiopia,ETH,2009,0.073328234\nEthiopia,ETH,2010,0.070071824\nEthiopia,ETH,2011,0.07895706\nEthiopia,ETH,2012,0.08338755\nEthiopia,ETH,2013,0.09898247\nEthiopia,ETH,2014,0.11415848\nEthiopia,ETH,2015,0.12095851\nEthiopia,ETH,2016,0.13421538\nEthiopia,ETH,2017,0.13315514\nEthiopia,ETH,2018,0.14305523\nEthiopia,ETH,2019,0.1484148\nEthiopia,ETH,2020,0.14072774\nEthiopia,ETH,2021,0.1466006\nEthiopia,ETH,2022,0.13526215\nEthiopia,ETH,2023,0.13653299\nEthiopia,ETH,2024,0.13506985\n```\n\nWas co\u2082 emissions per capita in Ethiopia higher in 1997 or 2011?","response":"Higher in 2011. The chart gives 0.05 t\/person for 1997 and 0.08 t\/person for 2011, a difference of 0.03 t\/person.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEthiopia,ETH,1990,0.06272888\nEthiopia,ETH,1991,0.059506003\nEthiopia,ETH,1992,0.056634992\nEthiopia,ETH,1993,0.05573794\nEthiopia,ETH,1994,0.03950982\nEthiopia,ETH,1995,0.04355351\nEthiopia,ETH,1996,0.046986714\nEthiopia,ETH,1997,0.048533186\nEthiopia,ETH,1998,0.04967246\nEthiopia,ETH,1999,0.0473315\nEthiopia,ETH,2000,0.051368907\nEthiopia,ETH,2001,0.06137175\nEthiopia,ETH,2002,0.06186438\nEthiopia,ETH,2003,0.06596311\nEthiopia,ETH,2004,0.06780678\nEthiopia,ETH,2005,0.06324217\nEthiopia,ETH,2006,0.065897726\nEthiopia,ETH,2007,0.07026919\nEthiopia,ETH,2008,0.0750213\nEthiopia,ETH,2009,0.073328234\nEthiopia,ETH,2010,0.070071824\nEthiopia,ETH,2011,0.07895706\nEthiopia,ETH,2012,0.08338755\nEthiopia,ETH,2013,0.09898247\nEthiopia,ETH,2014,0.11415848\nEthiopia,ETH,2015,0.12095851\nEthiopia,ETH,2016,0.13421538\nEthiopia,ETH,2017,0.13315514\nEthiopia,ETH,2018,0.14305523\nEthiopia,ETH,2019,0.1484148\nEthiopia,ETH,2020,0.14072774\nEthiopia,ETH,2021,0.1466006\nEthiopia,ETH,2022,0.13526215\nEthiopia,ETH,2023,0.13653299\nEthiopia,ETH,2024,0.13506985\n```\n\nThis chart makes the change in co\u2082 emissions per capita for Ethiopia look dramatic. Is it?","response":"The values change by +115.32%, from 0.06 t\/person to 0.14 t\/person. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEthiopia,ETH,1990,0.06272888\nEthiopia,ETH,1991,0.059506003\nEthiopia,ETH,1992,0.056634992\nEthiopia,ETH,1993,0.05573794\nEthiopia,ETH,1994,0.03950982\nEthiopia,ETH,1995,0.04355351\nEthiopia,ETH,1996,0.046986714\nEthiopia,ETH,1997,0.048533186\nEthiopia,ETH,1998,0.04967246\n```\n\nWhat does this chart suggest about the long-run direction of co\u2082 emissions per capita in Ethiopia?","response":"Within the window shown (1990-1998) the series moves -20.81%, but that window runs against the longer record. Across the full series (1990-2024) the change is +115.32%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,CO\u2082 emissions per capita\nEthiopia,ETH,1990,0.06272888\nEthiopia,ETH,1991,0.059506003\nEthiopia,ETH,1992,0.056634992\nEthiopia,ETH,1993,0.05573794\nEthiopia,ETH,1994,0.03950982\nEthiopia,ETH,1995,0.04355351\nEthiopia,ETH,1996,0.046986714\nEthiopia,ETH,1997,0.048533186\nEthiopia,ETH,1998,0.04967246\nEthiopia,ETH,1999,0.0473315\nEthiopia,ETH,2000,0.051368907\nEthiopia,ETH,2001,0.06137175\nEthiopia,ETH,2002,0.06186438\nEthiopia,ETH,2003,0.06596311\nEthiopia,ETH,2004,0.06780678\nEthiopia,ETH,2005,0.06324217\nEthiopia,ETH,2006,0.065897726\nEthiopia,ETH,2007,0.07026919\nEthiopia,ETH,2008,0.0750213\nEthiopia,ETH,2009,0.073328234\nEthiopia,ETH,2010,0.070071824\nEthiopia,ETH,2011,0.07895706\nEthiopia,ETH,2012,0.08338755\nEthiopia,ETH,2013,0.09898247\nEthiopia,ETH,2014,0.11415848\nEthiopia,ETH,2015,0.12095851\nEthiopia,ETH,2016,0.13421538\nEthiopia,ETH,2017,0.13315514\nEthiopia,ETH,2018,0.14305523\nEthiopia,ETH,2019,0.1484148\nEthiopia,ETH,2020,0.14072774\nEthiopia,ETH,2021,0.1466006\nEthiopia,ETH,2022,0.13526215\nEthiopia,ETH,2023,0.13653299\nEthiopia,ETH,2024,0.13506985\n```\n\nWhat caused the change in co\u2082 emissions per capita for Ethiopia around 1994?","response":"The chart shows that the change happened: co\u2082 emissions per capita moves to 0.04 t\/person in 1994. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co-emissions-per-capita__Ethiopia__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"CO\u2082 emissions per capita","source_citation":"Global Carbon Budget (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/co-emissions-per-capita?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nPeru,PER,1990,0.625\nPeru,PER,1991,0.628\nPeru,PER,1992,0.629\nPeru,PER,1993,0.633\nPeru,PER,1994,0.644\nPeru,PER,1995,0.654\nPeru,PER,1996,0.658\nPeru,PER,1997,0.663\nPeru,PER,1998,0.671\nPeru,PER,1999,0.68\nPeru,PER,2000,0.682\nPeru,PER,2001,0.69\nPeru,PER,2002,0.69\nPeru,PER,2003,0.689\nPeru,PER,2004,0.694\nPeru,PER,2005,0.691\nPeru,PER,2006,0.697\nPeru,PER,2007,0.708\nPeru,PER,2008,0.714\nPeru,PER,2009,0.717\nPeru,PER,2010,0.731\nPeru,PER,2011,0.738\nPeru,PER,2012,0.748\nPeru,PER,2013,0.757\nPeru,PER,2014,0.763\nPeru,PER,2015,0.768\nPeru,PER,2016,0.775\nPeru,PER,2017,0.775\nPeru,PER,2018,0.78\nPeru,PER,2019,0.784\nPeru,PER,2020,0.769\nPeru,PER,2021,0.764\nPeru,PER,2022,0.79\nPeru,PER,2023,0.794\n```\n\nAccording to this chart, what was human development index in Peru in 2000?","response":"Reading the plotted point for 2000, human development index in Peru was 0.68.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nPeru,PER,1990,0.625\nPeru,PER,1991,0.628\nPeru,PER,1992,0.629\nPeru,PER,1993,0.633\nPeru,PER,1994,0.644\nPeru,PER,1995,0.654\nPeru,PER,1996,0.658\nPeru,PER,1997,0.663\nPeru,PER,1998,0.671\nPeru,PER,1999,0.68\nPeru,PER,2000,0.682\nPeru,PER,2001,0.69\nPeru,PER,2002,0.69\nPeru,PER,2003,0.689\nPeru,PER,2004,0.694\nPeru,PER,2005,0.691\nPeru,PER,2006,0.697\nPeru,PER,2007,0.708\nPeru,PER,2008,0.714\nPeru,PER,2009,0.717\nPeru,PER,2010,0.731\nPeru,PER,2011,0.738\nPeru,PER,2012,0.748\nPeru,PER,2013,0.757\nPeru,PER,2014,0.763\nPeru,PER,2015,0.768\nPeru,PER,2016,0.775\nPeru,PER,2017,0.775\nPeru,PER,2018,0.78\nPeru,PER,2019,0.784\nPeru,PER,2020,0.769\nPeru,PER,2021,0.764\nPeru,PER,2022,0.79\nPeru,PER,2023,0.794\n```\n\nIn which year shown does human development index reach its highest value for Peru?","response":"The series peaks in 2023, at 0.79. The lowest point shown is 1990, at 0.62.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nPeru,PER,1990,0.625\nPeru,PER,1991,0.628\nPeru,PER,1992,0.629\nPeru,PER,1993,0.633\nPeru,PER,1994,0.644\nPeru,PER,1995,0.654\nPeru,PER,1996,0.658\nPeru,PER,1997,0.663\nPeru,PER,1998,0.671\nPeru,PER,1999,0.68\nPeru,PER,2000,0.682\nPeru,PER,2001,0.69\nPeru,PER,2002,0.69\nPeru,PER,2003,0.689\nPeru,PER,2004,0.694\nPeru,PER,2005,0.691\nPeru,PER,2006,0.697\nPeru,PER,2007,0.708\nPeru,PER,2008,0.714\nPeru,PER,2009,0.717\nPeru,PER,2010,0.731\nPeru,PER,2011,0.738\nPeru,PER,2012,0.748\nPeru,PER,2013,0.757\nPeru,PER,2014,0.763\nPeru,PER,2015,0.768\nPeru,PER,2016,0.775\nPeru,PER,2017,0.775\nPeru,PER,2018,0.78\nPeru,PER,2019,0.784\nPeru,PER,2020,0.769\nPeru,PER,2021,0.764\nPeru,PER,2022,0.79\nPeru,PER,2023,0.794\n```\n\nHow much did human development index change for Peru between 1990 and 2023?","response":"It moved from 0.62 in 1990 to 0.79 in 2023, a change of 0.17 (+27.04%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nPeru,PER,1990,0.625\nPeru,PER,1991,0.628\nPeru,PER,1992,0.629\nPeru,PER,1993,0.633\nPeru,PER,1994,0.644\nPeru,PER,1995,0.654\nPeru,PER,1996,0.658\nPeru,PER,1997,0.663\nPeru,PER,1998,0.671\nPeru,PER,1999,0.68\nPeru,PER,2000,0.682\nPeru,PER,2001,0.69\nPeru,PER,2002,0.69\nPeru,PER,2003,0.689\nPeru,PER,2004,0.694\nPeru,PER,2005,0.691\nPeru,PER,2006,0.697\nPeru,PER,2007,0.708\nPeru,PER,2008,0.714\nPeru,PER,2009,0.717\nPeru,PER,2010,0.731\nPeru,PER,2011,0.738\nPeru,PER,2012,0.748\nPeru,PER,2013,0.757\nPeru,PER,2014,0.763\nPeru,PER,2015,0.768\nPeru,PER,2016,0.775\nPeru,PER,2017,0.775\nPeru,PER,2018,0.78\nPeru,PER,2019,0.784\nPeru,PER,2020,0.769\nPeru,PER,2021,0.764\nPeru,PER,2022,0.79\nPeru,PER,2023,0.794\n```\n\nWas human development index in Peru higher in 1997 or 2015?","response":"Higher in 2015. The chart gives 0.66 for 1997 and 0.77 for 2015, a difference of 0.1.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nPeru,PER,1990,0.625\nPeru,PER,1991,0.628\nPeru,PER,1992,0.629\nPeru,PER,1993,0.633\nPeru,PER,1994,0.644\nPeru,PER,1995,0.654\nPeru,PER,1996,0.658\nPeru,PER,1997,0.663\nPeru,PER,1998,0.671\nPeru,PER,1999,0.68\nPeru,PER,2000,0.682\nPeru,PER,2001,0.69\nPeru,PER,2002,0.69\nPeru,PER,2003,0.689\nPeru,PER,2004,0.694\nPeru,PER,2005,0.691\nPeru,PER,2006,0.697\nPeru,PER,2007,0.708\nPeru,PER,2008,0.714\nPeru,PER,2009,0.717\nPeru,PER,2010,0.731\nPeru,PER,2011,0.738\nPeru,PER,2012,0.748\nPeru,PER,2013,0.757\nPeru,PER,2014,0.763\nPeru,PER,2015,0.768\nPeru,PER,2016,0.775\nPeru,PER,2017,0.775\nPeru,PER,2018,0.78\nPeru,PER,2019,0.784\nPeru,PER,2020,0.769\nPeru,PER,2021,0.764\nPeru,PER,2022,0.79\nPeru,PER,2023,0.794\n```\n\nAccording to this chart, what was human development index in Peru in 2000?","response":"Reading the plotted point for 2000, human development index in Peru was 0.68.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nPeru,PER,1990,0.625\nPeru,PER,1991,0.628\nPeru,PER,1992,0.629\nPeru,PER,1993,0.633\nPeru,PER,1994,0.644\nPeru,PER,1995,0.654\nPeru,PER,1996,0.658\nPeru,PER,1997,0.663\nPeru,PER,1998,0.671\nPeru,PER,1999,0.68\nPeru,PER,2000,0.682\nPeru,PER,2001,0.69\nPeru,PER,2002,0.69\nPeru,PER,2003,0.689\nPeru,PER,2004,0.694\nPeru,PER,2005,0.691\nPeru,PER,2006,0.697\nPeru,PER,2007,0.708\nPeru,PER,2008,0.714\nPeru,PER,2009,0.717\nPeru,PER,2010,0.731\nPeru,PER,2011,0.738\nPeru,PER,2012,0.748\nPeru,PER,2013,0.757\nPeru,PER,2014,0.763\nPeru,PER,2015,0.768\nPeru,PER,2016,0.775\nPeru,PER,2017,0.775\nPeru,PER,2018,0.78\nPeru,PER,2019,0.784\nPeru,PER,2020,0.769\nPeru,PER,2021,0.764\nPeru,PER,2022,0.79\nPeru,PER,2023,0.794\n```\n\nIn which year shown does human development index reach its highest value for Peru?","response":"The series peaks in 2023, at 0.79. The lowest point shown is 1990, at 0.62.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nPeru,PER,1990,0.625\nPeru,PER,1991,0.628\nPeru,PER,1992,0.629\nPeru,PER,1993,0.633\nPeru,PER,1994,0.644\nPeru,PER,1995,0.654\nPeru,PER,1996,0.658\nPeru,PER,1997,0.663\nPeru,PER,1998,0.671\nPeru,PER,1999,0.68\nPeru,PER,2000,0.682\nPeru,PER,2001,0.69\nPeru,PER,2002,0.69\nPeru,PER,2003,0.689\nPeru,PER,2004,0.694\nPeru,PER,2005,0.691\nPeru,PER,2006,0.697\nPeru,PER,2007,0.708\nPeru,PER,2008,0.714\nPeru,PER,2009,0.717\nPeru,PER,2010,0.731\nPeru,PER,2011,0.738\nPeru,PER,2012,0.748\nPeru,PER,2013,0.757\nPeru,PER,2014,0.763\nPeru,PER,2015,0.768\nPeru,PER,2016,0.775\nPeru,PER,2017,0.775\nPeru,PER,2018,0.78\nPeru,PER,2019,0.784\nPeru,PER,2020,0.769\nPeru,PER,2021,0.764\nPeru,PER,2022,0.79\nPeru,PER,2023,0.794\n```\n\nHow much did human development index change for Peru between 1990 and 2023?","response":"It moved from 0.62 in 1990 to 0.79 in 2023, a change of 0.17 (+27.04%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nPeru,PER,1990,0.625\nPeru,PER,1991,0.628\nPeru,PER,1992,0.629\nPeru,PER,1993,0.633\nPeru,PER,1994,0.644\nPeru,PER,1995,0.654\nPeru,PER,1996,0.658\nPeru,PER,1997,0.663\nPeru,PER,1998,0.671\nPeru,PER,1999,0.68\nPeru,PER,2000,0.682\nPeru,PER,2001,0.69\nPeru,PER,2002,0.69\nPeru,PER,2003,0.689\nPeru,PER,2004,0.694\nPeru,PER,2005,0.691\nPeru,PER,2006,0.697\nPeru,PER,2007,0.708\nPeru,PER,2008,0.714\nPeru,PER,2009,0.717\nPeru,PER,2010,0.731\nPeru,PER,2011,0.738\nPeru,PER,2012,0.748\nPeru,PER,2013,0.757\nPeru,PER,2014,0.763\nPeru,PER,2015,0.768\nPeru,PER,2016,0.775\nPeru,PER,2017,0.775\nPeru,PER,2018,0.78\nPeru,PER,2019,0.784\nPeru,PER,2020,0.769\nPeru,PER,2021,0.764\nPeru,PER,2022,0.79\nPeru,PER,2023,0.794\n```\n\nWas human development index in Peru higher in 1997 or 2015?","response":"Higher in 2015. The chart gives 0.66 for 1997 and 0.77 for 2015, a difference of 0.1.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nPeru,PER,1990,0.625\nPeru,PER,1991,0.628\nPeru,PER,1992,0.629\nPeru,PER,1993,0.633\nPeru,PER,1994,0.644\nPeru,PER,1995,0.654\nPeru,PER,1996,0.658\nPeru,PER,1997,0.663\nPeru,PER,1998,0.671\nPeru,PER,1999,0.68\nPeru,PER,2000,0.682\nPeru,PER,2001,0.69\nPeru,PER,2002,0.69\nPeru,PER,2003,0.689\nPeru,PER,2004,0.694\nPeru,PER,2005,0.691\nPeru,PER,2006,0.697\nPeru,PER,2007,0.708\nPeru,PER,2008,0.714\nPeru,PER,2009,0.717\nPeru,PER,2010,0.731\nPeru,PER,2011,0.738\nPeru,PER,2012,0.748\nPeru,PER,2013,0.757\nPeru,PER,2014,0.763\nPeru,PER,2015,0.768\nPeru,PER,2016,0.775\nPeru,PER,2017,0.775\nPeru,PER,2018,0.78\nPeru,PER,2019,0.784\nPeru,PER,2020,0.769\nPeru,PER,2021,0.764\nPeru,PER,2022,0.79\nPeru,PER,2023,0.794\n```\n\nThis chart appears to show human development index in Peru rising steeply. How large is the increase actually?","response":"The plotted values run from 0.62 to 0.79, so the actual change is +27.04%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 0.5666 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nPeru,PER,1990,0.625\nPeru,PER,1991,0.628\nPeru,PER,1992,0.629\nPeru,PER,1993,0.633\nPeru,PER,1994,0.644\nPeru,PER,1995,0.654\nPeru,PER,1996,0.658\nPeru,PER,1997,0.663\nPeru,PER,1998,0.671\nPeru,PER,1999,0.68\nPeru,PER,2000,0.682\nPeru,PER,2001,0.69\nPeru,PER,2002,0.69\nPeru,PER,2003,0.689\nPeru,PER,2004,0.694\nPeru,PER,2005,0.691\nPeru,PER,2006,0.697\nPeru,PER,2007,0.708\nPeru,PER,2008,0.714\nPeru,PER,2009,0.717\nPeru,PER,2010,0.731\nPeru,PER,2011,0.738\nPeru,PER,2012,0.748\nPeru,PER,2013,0.757\nPeru,PER,2014,0.763\nPeru,PER,2015,0.768\nPeru,PER,2016,0.775\nPeru,PER,2017,0.775\nPeru,PER,2018,0.78\nPeru,PER,2019,0.784\nPeru,PER,2020,0.769\nPeru,PER,2021,0.764\nPeru,PER,2022,0.79\nPeru,PER,2023,0.794\n```\n\nBased on this chart, is human development index in Peru rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.62 to 0.79, a change of +27.04%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nPeru,PER,1990,0.625\nPeru,PER,1991,0.628\nPeru,PER,1992,0.629\nPeru,PER,1993,0.633\nPeru,PER,1994,0.644\nPeru,PER,1995,0.654\nPeru,PER,1996,0.658\nPeru,PER,1997,0.663\nPeru,PER,1998,0.671\nPeru,PER,1999,0.68\nPeru,PER,2000,0.682\nPeru,PER,2001,0.69\nPeru,PER,2002,0.69\nPeru,PER,2003,0.689\nPeru,PER,2004,0.694\nPeru,PER,2005,0.691\nPeru,PER,2006,0.697\nPeru,PER,2007,0.708\nPeru,PER,2008,0.714\nPeru,PER,2009,0.717\nPeru,PER,2010,0.731\nPeru,PER,2011,0.738\nPeru,PER,2012,0.748\nPeru,PER,2013,0.757\nPeru,PER,2014,0.763\nPeru,PER,2015,0.768\nPeru,PER,2016,0.775\nPeru,PER,2017,0.775\nPeru,PER,2018,0.78\nPeru,PER,2019,0.784\nPeru,PER,2020,0.769\nPeru,PER,2021,0.764\nPeru,PER,2022,0.79\nPeru,PER,2023,0.794\n```\n\nWhat was human development index for Peru in 1975?","response":"That year is outside this chart. The series runs 1990 to 2023, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 0.62.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Peru__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nThailand,THA,1990,0.584\nThailand,THA,1991,0.593\nThailand,THA,1992,0.603\nThailand,THA,1993,0.612\nThailand,THA,1994,0.62\nThailand,THA,1995,0.628\nThailand,THA,1996,0.634\nThailand,THA,1997,0.639\nThailand,THA,1998,0.642\nThailand,THA,1999,0.65\nThailand,THA,2000,0.657\nThailand,THA,2001,0.667\nThailand,THA,2002,0.678\nThailand,THA,2003,0.69\nThailand,THA,2004,0.699\nThailand,THA,2005,0.707\nThailand,THA,2006,0.71\nThailand,THA,2007,0.721\nThailand,THA,2008,0.723\nThailand,THA,2009,0.725\nThailand,THA,2010,0.742\nThailand,THA,2011,0.747\nThailand,THA,2012,0.75\nThailand,THA,2013,0.752\nThailand,THA,2014,0.784\nThailand,THA,2015,0.788\nThailand,THA,2016,0.792\nThailand,THA,2017,0.794\nThailand,THA,2018,0.796\nThailand,THA,2019,0.8\nThailand,THA,2020,0.798\nThailand,THA,2021,0.8\nThailand,THA,2022,0.792\nThailand,THA,2023,0.798\n```\n\nAccording to this chart, what was human development index in Thailand in 2007?","response":"Reading the plotted point for 2007, human development index in Thailand was 0.72.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nThailand,THA,1990,0.584\nThailand,THA,1991,0.593\nThailand,THA,1992,0.603\nThailand,THA,1993,0.612\nThailand,THA,1994,0.62\nThailand,THA,1995,0.628\nThailand,THA,1996,0.634\nThailand,THA,1997,0.639\nThailand,THA,1998,0.642\nThailand,THA,1999,0.65\nThailand,THA,2000,0.657\nThailand,THA,2001,0.667\nThailand,THA,2002,0.678\nThailand,THA,2003,0.69\nThailand,THA,2004,0.699\nThailand,THA,2005,0.707\nThailand,THA,2006,0.71\nThailand,THA,2007,0.721\nThailand,THA,2008,0.723\nThailand,THA,2009,0.725\nThailand,THA,2010,0.742\nThailand,THA,2011,0.747\nThailand,THA,2012,0.75\nThailand,THA,2013,0.752\nThailand,THA,2014,0.784\nThailand,THA,2015,0.788\nThailand,THA,2016,0.792\nThailand,THA,2017,0.794\nThailand,THA,2018,0.796\nThailand,THA,2019,0.8\nThailand,THA,2020,0.798\nThailand,THA,2021,0.8\nThailand,THA,2022,0.792\nThailand,THA,2023,0.798\n```\n\nIn which year shown does human development index reach its highest value for Thailand?","response":"The series peaks in 2019, at 0.8. The lowest point shown is 1990, at 0.58.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nThailand,THA,1990,0.584\nThailand,THA,1991,0.593\nThailand,THA,1992,0.603\nThailand,THA,1993,0.612\nThailand,THA,1994,0.62\nThailand,THA,1995,0.628\nThailand,THA,1996,0.634\nThailand,THA,1997,0.639\nThailand,THA,1998,0.642\nThailand,THA,1999,0.65\nThailand,THA,2000,0.657\nThailand,THA,2001,0.667\nThailand,THA,2002,0.678\nThailand,THA,2003,0.69\nThailand,THA,2004,0.699\nThailand,THA,2005,0.707\nThailand,THA,2006,0.71\nThailand,THA,2007,0.721\nThailand,THA,2008,0.723\nThailand,THA,2009,0.725\nThailand,THA,2010,0.742\nThailand,THA,2011,0.747\nThailand,THA,2012,0.75\nThailand,THA,2013,0.752\nThailand,THA,2014,0.784\nThailand,THA,2015,0.788\nThailand,THA,2016,0.792\nThailand,THA,2017,0.794\nThailand,THA,2018,0.796\nThailand,THA,2019,0.8\nThailand,THA,2020,0.798\nThailand,THA,2021,0.8\nThailand,THA,2022,0.792\nThailand,THA,2023,0.798\n```\n\nHow much did human development index change for Thailand between 1990 and 2023?","response":"It moved from 0.58 in 1990 to 0.8 in 2023, a change of 0.21 (+36.64%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nThailand,THA,1990,0.584\nThailand,THA,1991,0.593\nThailand,THA,1992,0.603\nThailand,THA,1993,0.612\nThailand,THA,1994,0.62\nThailand,THA,1995,0.628\nThailand,THA,1996,0.634\nThailand,THA,1997,0.639\nThailand,THA,1998,0.642\nThailand,THA,1999,0.65\nThailand,THA,2000,0.657\nThailand,THA,2001,0.667\nThailand,THA,2002,0.678\nThailand,THA,2003,0.69\nThailand,THA,2004,0.699\nThailand,THA,2005,0.707\nThailand,THA,2006,0.71\nThailand,THA,2007,0.721\nThailand,THA,2008,0.723\nThailand,THA,2009,0.725\nThailand,THA,2010,0.742\nThailand,THA,2011,0.747\nThailand,THA,2012,0.75\nThailand,THA,2013,0.752\nThailand,THA,2014,0.784\nThailand,THA,2015,0.788\nThailand,THA,2016,0.792\nThailand,THA,2017,0.794\nThailand,THA,2018,0.796\nThailand,THA,2019,0.8\nThailand,THA,2020,0.798\nThailand,THA,2021,0.8\nThailand,THA,2022,0.792\nThailand,THA,2023,0.798\n```\n\nWas human development index in Thailand higher in 1995 or 2019?","response":"Higher in 2019. The chart gives 0.63 for 1995 and 0.8 for 2019, a difference of 0.17.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nThailand,THA,1990,0.584\nThailand,THA,1991,0.593\nThailand,THA,1992,0.603\nThailand,THA,1993,0.612\nThailand,THA,1994,0.62\nThailand,THA,1995,0.628\nThailand,THA,1996,0.634\nThailand,THA,1997,0.639\nThailand,THA,1998,0.642\nThailand,THA,1999,0.65\nThailand,THA,2000,0.657\nThailand,THA,2001,0.667\nThailand,THA,2002,0.678\nThailand,THA,2003,0.69\nThailand,THA,2004,0.699\nThailand,THA,2005,0.707\nThailand,THA,2006,0.71\nThailand,THA,2007,0.721\nThailand,THA,2008,0.723\nThailand,THA,2009,0.725\nThailand,THA,2010,0.742\nThailand,THA,2011,0.747\nThailand,THA,2012,0.75\nThailand,THA,2013,0.752\nThailand,THA,2014,0.784\nThailand,THA,2015,0.788\nThailand,THA,2016,0.792\nThailand,THA,2017,0.794\nThailand,THA,2018,0.796\nThailand,THA,2019,0.8\nThailand,THA,2020,0.798\nThailand,THA,2021,0.8\nThailand,THA,2022,0.792\nThailand,THA,2023,0.798\n```\n\nAccording to this chart, what was human development index in Thailand in 2007?","response":"Reading the plotted point for 2007, human development index in Thailand was 0.72.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nThailand,THA,1990,0.584\nThailand,THA,1991,0.593\nThailand,THA,1992,0.603\nThailand,THA,1993,0.612\nThailand,THA,1994,0.62\nThailand,THA,1995,0.628\nThailand,THA,1996,0.634\nThailand,THA,1997,0.639\nThailand,THA,1998,0.642\nThailand,THA,1999,0.65\nThailand,THA,2000,0.657\nThailand,THA,2001,0.667\nThailand,THA,2002,0.678\nThailand,THA,2003,0.69\nThailand,THA,2004,0.699\nThailand,THA,2005,0.707\nThailand,THA,2006,0.71\nThailand,THA,2007,0.721\nThailand,THA,2008,0.723\nThailand,THA,2009,0.725\nThailand,THA,2010,0.742\nThailand,THA,2011,0.747\nThailand,THA,2012,0.75\nThailand,THA,2013,0.752\nThailand,THA,2014,0.784\nThailand,THA,2015,0.788\nThailand,THA,2016,0.792\nThailand,THA,2017,0.794\nThailand,THA,2018,0.796\nThailand,THA,2019,0.8\nThailand,THA,2020,0.798\nThailand,THA,2021,0.8\nThailand,THA,2022,0.792\nThailand,THA,2023,0.798\n```\n\nIn which year shown does human development index reach its highest value for Thailand?","response":"The series peaks in 2019, at 0.8. The lowest point shown is 1990, at 0.58.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nThailand,THA,1990,0.584\nThailand,THA,1991,0.593\nThailand,THA,1992,0.603\nThailand,THA,1993,0.612\nThailand,THA,1994,0.62\nThailand,THA,1995,0.628\nThailand,THA,1996,0.634\nThailand,THA,1997,0.639\nThailand,THA,1998,0.642\nThailand,THA,1999,0.65\nThailand,THA,2000,0.657\nThailand,THA,2001,0.667\nThailand,THA,2002,0.678\nThailand,THA,2003,0.69\nThailand,THA,2004,0.699\nThailand,THA,2005,0.707\nThailand,THA,2006,0.71\nThailand,THA,2007,0.721\nThailand,THA,2008,0.723\nThailand,THA,2009,0.725\nThailand,THA,2010,0.742\nThailand,THA,2011,0.747\nThailand,THA,2012,0.75\nThailand,THA,2013,0.752\nThailand,THA,2014,0.784\nThailand,THA,2015,0.788\nThailand,THA,2016,0.792\nThailand,THA,2017,0.794\nThailand,THA,2018,0.796\nThailand,THA,2019,0.8\nThailand,THA,2020,0.798\nThailand,THA,2021,0.8\nThailand,THA,2022,0.792\nThailand,THA,2023,0.798\n```\n\nHow much did human development index change for Thailand between 1990 and 2023?","response":"It moved from 0.58 in 1990 to 0.8 in 2023, a change of 0.21 (+36.64%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nThailand,THA,1990,0.584\nThailand,THA,1991,0.593\nThailand,THA,1992,0.603\nThailand,THA,1993,0.612\nThailand,THA,1994,0.62\nThailand,THA,1995,0.628\nThailand,THA,1996,0.634\nThailand,THA,1997,0.639\nThailand,THA,1998,0.642\nThailand,THA,1999,0.65\nThailand,THA,2000,0.657\nThailand,THA,2001,0.667\nThailand,THA,2002,0.678\nThailand,THA,2003,0.69\nThailand,THA,2004,0.699\nThailand,THA,2005,0.707\nThailand,THA,2006,0.71\nThailand,THA,2007,0.721\nThailand,THA,2008,0.723\nThailand,THA,2009,0.725\nThailand,THA,2010,0.742\nThailand,THA,2011,0.747\nThailand,THA,2012,0.75\nThailand,THA,2013,0.752\nThailand,THA,2014,0.784\nThailand,THA,2015,0.788\nThailand,THA,2016,0.792\nThailand,THA,2017,0.794\nThailand,THA,2018,0.796\nThailand,THA,2019,0.8\nThailand,THA,2020,0.798\nThailand,THA,2021,0.8\nThailand,THA,2022,0.792\nThailand,THA,2023,0.798\n```\n\nWas human development index in Thailand higher in 1995 or 2019?","response":"Higher in 2019. The chart gives 0.63 for 1995 and 0.8 for 2019, a difference of 0.17.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nThailand,THA,1990,0.584\nThailand,THA,1991,0.593\nThailand,THA,1992,0.603\nThailand,THA,1993,0.612\nThailand,THA,1994,0.62\nThailand,THA,1995,0.628\nThailand,THA,1996,0.634\nThailand,THA,1997,0.639\nThailand,THA,1998,0.642\nThailand,THA,1999,0.65\nThailand,THA,2000,0.657\nThailand,THA,2001,0.667\nThailand,THA,2002,0.678\nThailand,THA,2003,0.69\nThailand,THA,2004,0.699\nThailand,THA,2005,0.707\nThailand,THA,2006,0.71\nThailand,THA,2007,0.721\nThailand,THA,2008,0.723\nThailand,THA,2009,0.725\nThailand,THA,2010,0.742\nThailand,THA,2011,0.747\nThailand,THA,2012,0.75\nThailand,THA,2013,0.752\nThailand,THA,2014,0.784\nThailand,THA,2015,0.788\nThailand,THA,2016,0.792\nThailand,THA,2017,0.794\nThailand,THA,2018,0.796\nThailand,THA,2019,0.8\nThailand,THA,2020,0.798\nThailand,THA,2021,0.8\nThailand,THA,2022,0.792\nThailand,THA,2023,0.798\n```\n\nThis chart appears to show human development index in Thailand rising steeply. How large is the increase actually?","response":"The plotted values run from 0.58 to 0.8, so the actual change is +36.64%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 0.548 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nThailand,THA,1990,0.584\nThailand,THA,1991,0.593\nThailand,THA,1992,0.603\nThailand,THA,1993,0.612\nThailand,THA,1994,0.62\nThailand,THA,1995,0.628\nThailand,THA,1996,0.634\nThailand,THA,1997,0.639\nThailand,THA,1998,0.642\nThailand,THA,1999,0.65\nThailand,THA,2000,0.657\nThailand,THA,2001,0.667\nThailand,THA,2002,0.678\nThailand,THA,2003,0.69\nThailand,THA,2004,0.699\nThailand,THA,2005,0.707\nThailand,THA,2006,0.71\nThailand,THA,2007,0.721\nThailand,THA,2008,0.723\nThailand,THA,2009,0.725\nThailand,THA,2010,0.742\nThailand,THA,2011,0.747\nThailand,THA,2012,0.75\nThailand,THA,2013,0.752\nThailand,THA,2014,0.784\nThailand,THA,2015,0.788\nThailand,THA,2016,0.792\nThailand,THA,2017,0.794\nThailand,THA,2018,0.796\nThailand,THA,2019,0.8\nThailand,THA,2020,0.798\nThailand,THA,2021,0.8\nThailand,THA,2022,0.792\nThailand,THA,2023,0.798\n```\n\nBased on this chart, is human development index in Thailand rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.58 to 0.8, a change of +36.64%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nThailand,THA,1990,0.584\nThailand,THA,1991,0.593\nThailand,THA,1992,0.603\nThailand,THA,1993,0.612\nThailand,THA,1994,0.62\nThailand,THA,1995,0.628\nThailand,THA,1996,0.634\nThailand,THA,1997,0.639\nThailand,THA,1998,0.642\nThailand,THA,1999,0.65\nThailand,THA,2000,0.657\nThailand,THA,2001,0.667\nThailand,THA,2002,0.678\nThailand,THA,2003,0.69\nThailand,THA,2004,0.699\nThailand,THA,2005,0.707\nThailand,THA,2006,0.71\nThailand,THA,2007,0.721\nThailand,THA,2008,0.723\nThailand,THA,2009,0.725\nThailand,THA,2010,0.742\nThailand,THA,2011,0.747\nThailand,THA,2012,0.75\nThailand,THA,2013,0.752\nThailand,THA,2014,0.784\nThailand,THA,2015,0.788\nThailand,THA,2016,0.792\nThailand,THA,2017,0.794\nThailand,THA,2018,0.796\nThailand,THA,2019,0.8\nThailand,THA,2020,0.798\nThailand,THA,2021,0.8\nThailand,THA,2022,0.792\nThailand,THA,2023,0.798\n```\n\nWhat caused the change in human development index for Thailand around 2014?","response":"The chart shows that the change happened: human development index moves to 0.78 in 2014. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Thailand__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nSpain,ESP,1990,0.766\nSpain,ESP,1991,0.774\nSpain,ESP,1992,0.781\nSpain,ESP,1993,0.789\nSpain,ESP,1994,0.798\nSpain,ESP,1995,0.804\nSpain,ESP,1996,0.811\nSpain,ESP,1997,0.816\nSpain,ESP,1998,0.821\nSpain,ESP,1999,0.825\nSpain,ESP,2000,0.833\nSpain,ESP,2001,0.839\nSpain,ESP,2002,0.844\nSpain,ESP,2003,0.846\nSpain,ESP,2004,0.852\nSpain,ESP,2005,0.857\nSpain,ESP,2006,0.862\nSpain,ESP,2007,0.864\nSpain,ESP,2008,0.865\nSpain,ESP,2009,0.867\nSpain,ESP,2010,0.875\nSpain,ESP,2011,0.879\nSpain,ESP,2012,0.881\nSpain,ESP,2013,0.886\nSpain,ESP,2014,0.89\nSpain,ESP,2015,0.895\nSpain,ESP,2016,0.9\nSpain,ESP,2017,0.902\nSpain,ESP,2018,0.905\nSpain,ESP,2019,0.91\nSpain,ESP,2020,0.901\nSpain,ESP,2021,0.912\nSpain,ESP,2022,0.911\nSpain,ESP,2023,0.918\n```\n\nAccording to this chart, what was human development index in Spain in 1999?","response":"Reading the plotted point for 1999, human development index in Spain was 0.82.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nSpain,ESP,1990,0.766\nSpain,ESP,1991,0.774\nSpain,ESP,1992,0.781\nSpain,ESP,1993,0.789\nSpain,ESP,1994,0.798\nSpain,ESP,1995,0.804\nSpain,ESP,1996,0.811\nSpain,ESP,1997,0.816\nSpain,ESP,1998,0.821\nSpain,ESP,1999,0.825\nSpain,ESP,2000,0.833\nSpain,ESP,2001,0.839\nSpain,ESP,2002,0.844\nSpain,ESP,2003,0.846\nSpain,ESP,2004,0.852\nSpain,ESP,2005,0.857\nSpain,ESP,2006,0.862\nSpain,ESP,2007,0.864\nSpain,ESP,2008,0.865\nSpain,ESP,2009,0.867\nSpain,ESP,2010,0.875\nSpain,ESP,2011,0.879\nSpain,ESP,2012,0.881\nSpain,ESP,2013,0.886\nSpain,ESP,2014,0.89\nSpain,ESP,2015,0.895\nSpain,ESP,2016,0.9\nSpain,ESP,2017,0.902\nSpain,ESP,2018,0.905\nSpain,ESP,2019,0.91\nSpain,ESP,2020,0.901\nSpain,ESP,2021,0.912\nSpain,ESP,2022,0.911\nSpain,ESP,2023,0.918\n```\n\nIn which year shown does human development index reach its highest value for Spain?","response":"The series peaks in 2023, at 0.92. The lowest point shown is 1990, at 0.77.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nSpain,ESP,1990,0.766\nSpain,ESP,1991,0.774\nSpain,ESP,1992,0.781\nSpain,ESP,1993,0.789\nSpain,ESP,1994,0.798\nSpain,ESP,1995,0.804\nSpain,ESP,1996,0.811\nSpain,ESP,1997,0.816\nSpain,ESP,1998,0.821\nSpain,ESP,1999,0.825\nSpain,ESP,2000,0.833\nSpain,ESP,2001,0.839\nSpain,ESP,2002,0.844\nSpain,ESP,2003,0.846\nSpain,ESP,2004,0.852\nSpain,ESP,2005,0.857\nSpain,ESP,2006,0.862\nSpain,ESP,2007,0.864\nSpain,ESP,2008,0.865\nSpain,ESP,2009,0.867\nSpain,ESP,2010,0.875\nSpain,ESP,2011,0.879\nSpain,ESP,2012,0.881\nSpain,ESP,2013,0.886\nSpain,ESP,2014,0.89\nSpain,ESP,2015,0.895\nSpain,ESP,2016,0.9\nSpain,ESP,2017,0.902\nSpain,ESP,2018,0.905\nSpain,ESP,2019,0.91\nSpain,ESP,2020,0.901\nSpain,ESP,2021,0.912\nSpain,ESP,2022,0.911\nSpain,ESP,2023,0.918\n```\n\nHow much did human development index change for Spain between 1990 and 2023?","response":"It moved from 0.77 in 1990 to 0.92 in 2023, a change of 0.15 (+19.84%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nSpain,ESP,1990,0.766\nSpain,ESP,1991,0.774\nSpain,ESP,1992,0.781\nSpain,ESP,1993,0.789\nSpain,ESP,1994,0.798\nSpain,ESP,1995,0.804\nSpain,ESP,1996,0.811\nSpain,ESP,1997,0.816\nSpain,ESP,1998,0.821\nSpain,ESP,1999,0.825\nSpain,ESP,2000,0.833\nSpain,ESP,2001,0.839\nSpain,ESP,2002,0.844\nSpain,ESP,2003,0.846\nSpain,ESP,2004,0.852\nSpain,ESP,2005,0.857\nSpain,ESP,2006,0.862\nSpain,ESP,2007,0.864\nSpain,ESP,2008,0.865\nSpain,ESP,2009,0.867\nSpain,ESP,2010,0.875\nSpain,ESP,2011,0.879\nSpain,ESP,2012,0.881\nSpain,ESP,2013,0.886\nSpain,ESP,2014,0.89\nSpain,ESP,2015,0.895\nSpain,ESP,2016,0.9\nSpain,ESP,2017,0.902\nSpain,ESP,2018,0.905\nSpain,ESP,2019,0.91\nSpain,ESP,2020,0.901\nSpain,ESP,2021,0.912\nSpain,ESP,2022,0.911\nSpain,ESP,2023,0.918\n```\n\nWas human development index in Spain higher in 1993 or 2010?","response":"Higher in 2010. The chart gives 0.79 for 1993 and 0.88 for 2010, a difference of 0.09.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nSpain,ESP,1990,0.766\nSpain,ESP,1991,0.774\nSpain,ESP,1992,0.781\nSpain,ESP,1993,0.789\nSpain,ESP,1994,0.798\nSpain,ESP,1995,0.804\nSpain,ESP,1996,0.811\nSpain,ESP,1997,0.816\nSpain,ESP,1998,0.821\nSpain,ESP,1999,0.825\nSpain,ESP,2000,0.833\nSpain,ESP,2001,0.839\nSpain,ESP,2002,0.844\nSpain,ESP,2003,0.846\nSpain,ESP,2004,0.852\nSpain,ESP,2005,0.857\nSpain,ESP,2006,0.862\nSpain,ESP,2007,0.864\nSpain,ESP,2008,0.865\nSpain,ESP,2009,0.867\nSpain,ESP,2010,0.875\nSpain,ESP,2011,0.879\nSpain,ESP,2012,0.881\nSpain,ESP,2013,0.886\nSpain,ESP,2014,0.89\nSpain,ESP,2015,0.895\nSpain,ESP,2016,0.9\nSpain,ESP,2017,0.902\nSpain,ESP,2018,0.905\nSpain,ESP,2019,0.91\nSpain,ESP,2020,0.901\nSpain,ESP,2021,0.912\nSpain,ESP,2022,0.911\nSpain,ESP,2023,0.918\n```\n\nAccording to this chart, what was human development index in Spain in 1999?","response":"Reading the plotted point for 1999, human development index in Spain was 0.82.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nSpain,ESP,1990,0.766\nSpain,ESP,1991,0.774\nSpain,ESP,1992,0.781\nSpain,ESP,1993,0.789\nSpain,ESP,1994,0.798\nSpain,ESP,1995,0.804\nSpain,ESP,1996,0.811\nSpain,ESP,1997,0.816\nSpain,ESP,1998,0.821\nSpain,ESP,1999,0.825\nSpain,ESP,2000,0.833\nSpain,ESP,2001,0.839\nSpain,ESP,2002,0.844\nSpain,ESP,2003,0.846\nSpain,ESP,2004,0.852\nSpain,ESP,2005,0.857\nSpain,ESP,2006,0.862\nSpain,ESP,2007,0.864\nSpain,ESP,2008,0.865\nSpain,ESP,2009,0.867\nSpain,ESP,2010,0.875\nSpain,ESP,2011,0.879\nSpain,ESP,2012,0.881\nSpain,ESP,2013,0.886\nSpain,ESP,2014,0.89\nSpain,ESP,2015,0.895\nSpain,ESP,2016,0.9\nSpain,ESP,2017,0.902\nSpain,ESP,2018,0.905\nSpain,ESP,2019,0.91\nSpain,ESP,2020,0.901\nSpain,ESP,2021,0.912\nSpain,ESP,2022,0.911\nSpain,ESP,2023,0.918\n```\n\nIn which year shown does human development index reach its highest value for Spain?","response":"The series peaks in 2023, at 0.92. The lowest point shown is 1990, at 0.77.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nSpain,ESP,1990,0.766\nSpain,ESP,1991,0.774\nSpain,ESP,1992,0.781\nSpain,ESP,1993,0.789\nSpain,ESP,1994,0.798\nSpain,ESP,1995,0.804\nSpain,ESP,1996,0.811\nSpain,ESP,1997,0.816\nSpain,ESP,1998,0.821\nSpain,ESP,1999,0.825\nSpain,ESP,2000,0.833\nSpain,ESP,2001,0.839\nSpain,ESP,2002,0.844\nSpain,ESP,2003,0.846\nSpain,ESP,2004,0.852\nSpain,ESP,2005,0.857\nSpain,ESP,2006,0.862\nSpain,ESP,2007,0.864\nSpain,ESP,2008,0.865\nSpain,ESP,2009,0.867\nSpain,ESP,2010,0.875\nSpain,ESP,2011,0.879\nSpain,ESP,2012,0.881\nSpain,ESP,2013,0.886\nSpain,ESP,2014,0.89\nSpain,ESP,2015,0.895\nSpain,ESP,2016,0.9\nSpain,ESP,2017,0.902\nSpain,ESP,2018,0.905\nSpain,ESP,2019,0.91\nSpain,ESP,2020,0.901\nSpain,ESP,2021,0.912\nSpain,ESP,2022,0.911\nSpain,ESP,2023,0.918\n```\n\nHow much did human development index change for Spain between 1990 and 2023?","response":"It moved from 0.77 in 1990 to 0.92 in 2023, a change of 0.15 (+19.84%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nSpain,ESP,1990,0.766\nSpain,ESP,1991,0.774\nSpain,ESP,1992,0.781\nSpain,ESP,1993,0.789\nSpain,ESP,1994,0.798\nSpain,ESP,1995,0.804\nSpain,ESP,1996,0.811\nSpain,ESP,1997,0.816\nSpain,ESP,1998,0.821\nSpain,ESP,1999,0.825\nSpain,ESP,2000,0.833\nSpain,ESP,2001,0.839\nSpain,ESP,2002,0.844\nSpain,ESP,2003,0.846\nSpain,ESP,2004,0.852\nSpain,ESP,2005,0.857\nSpain,ESP,2006,0.862\nSpain,ESP,2007,0.864\nSpain,ESP,2008,0.865\nSpain,ESP,2009,0.867\nSpain,ESP,2010,0.875\nSpain,ESP,2011,0.879\nSpain,ESP,2012,0.881\nSpain,ESP,2013,0.886\nSpain,ESP,2014,0.89\nSpain,ESP,2015,0.895\nSpain,ESP,2016,0.9\nSpain,ESP,2017,0.902\nSpain,ESP,2018,0.905\nSpain,ESP,2019,0.91\nSpain,ESP,2020,0.901\nSpain,ESP,2021,0.912\nSpain,ESP,2022,0.911\nSpain,ESP,2023,0.918\n```\n\nWas human development index in Spain higher in 1993 or 2010?","response":"Higher in 2010. The chart gives 0.79 for 1993 and 0.88 for 2010, a difference of 0.09.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nSpain,ESP,1990,0.766\nSpain,ESP,1991,0.774\nSpain,ESP,1992,0.781\nSpain,ESP,1993,0.789\nSpain,ESP,1994,0.798\nSpain,ESP,1995,0.804\nSpain,ESP,1996,0.811\nSpain,ESP,1997,0.816\nSpain,ESP,1998,0.821\nSpain,ESP,1999,0.825\nSpain,ESP,2000,0.833\nSpain,ESP,2001,0.839\nSpain,ESP,2002,0.844\nSpain,ESP,2003,0.846\nSpain,ESP,2004,0.852\nSpain,ESP,2005,0.857\nSpain,ESP,2006,0.862\nSpain,ESP,2007,0.864\nSpain,ESP,2008,0.865\nSpain,ESP,2009,0.867\nSpain,ESP,2010,0.875\nSpain,ESP,2011,0.879\nSpain,ESP,2012,0.881\nSpain,ESP,2013,0.886\nSpain,ESP,2014,0.89\nSpain,ESP,2015,0.895\nSpain,ESP,2016,0.9\nSpain,ESP,2017,0.902\nSpain,ESP,2018,0.905\nSpain,ESP,2019,0.91\nSpain,ESP,2020,0.901\nSpain,ESP,2021,0.912\nSpain,ESP,2022,0.911\nSpain,ESP,2023,0.918\n```\n\nBased on this chart, is human development index in Spain rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.77 to 0.92, a change of +19.84%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nSpain,ESP,1990,0.766\nSpain,ESP,1991,0.774\nSpain,ESP,1992,0.781\nSpain,ESP,1993,0.789\nSpain,ESP,1994,0.798\nSpain,ESP,1995,0.804\nSpain,ESP,1996,0.811\nSpain,ESP,1997,0.816\nSpain,ESP,1998,0.821\nSpain,ESP,1999,0.825\nSpain,ESP,2000,0.833\nSpain,ESP,2001,0.839\nSpain,ESP,2002,0.844\nSpain,ESP,2003,0.846\nSpain,ESP,2004,0.852\nSpain,ESP,2005,0.857\nSpain,ESP,2006,0.862\nSpain,ESP,2007,0.864\nSpain,ESP,2008,0.865\nSpain,ESP,2009,0.867\nSpain,ESP,2010,0.875\nSpain,ESP,2011,0.879\nSpain,ESP,2012,0.881\nSpain,ESP,2013,0.886\nSpain,ESP,2014,0.89\nSpain,ESP,2015,0.895\nSpain,ESP,2016,0.9\nSpain,ESP,2017,0.902\nSpain,ESP,2018,0.905\nSpain,ESP,2019,0.91\nSpain,ESP,2020,0.901\nSpain,ESP,2021,0.912\nSpain,ESP,2022,0.911\nSpain,ESP,2023,0.918\n```\n\nThis chart makes the change in human development index for Spain look dramatic. Is it?","response":"The values change by +19.84%, from 0.77 to 0.92. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nSpain,ESP,1990,0.766\nSpain,ESP,1991,0.774\nSpain,ESP,1992,0.781\nSpain,ESP,1993,0.789\nSpain,ESP,1994,0.798\nSpain,ESP,1995,0.804\nSpain,ESP,1996,0.811\nSpain,ESP,1997,0.816\nSpain,ESP,1998,0.821\nSpain,ESP,1999,0.825\nSpain,ESP,2000,0.833\nSpain,ESP,2001,0.839\nSpain,ESP,2002,0.844\nSpain,ESP,2003,0.846\nSpain,ESP,2004,0.852\nSpain,ESP,2005,0.857\nSpain,ESP,2006,0.862\nSpain,ESP,2007,0.864\nSpain,ESP,2008,0.865\nSpain,ESP,2009,0.867\nSpain,ESP,2010,0.875\nSpain,ESP,2011,0.879\nSpain,ESP,2012,0.881\nSpain,ESP,2013,0.886\nSpain,ESP,2014,0.89\nSpain,ESP,2015,0.895\nSpain,ESP,2016,0.9\nSpain,ESP,2017,0.902\nSpain,ESP,2018,0.905\nSpain,ESP,2019,0.91\nSpain,ESP,2020,0.901\nSpain,ESP,2021,0.912\nSpain,ESP,2022,0.911\nSpain,ESP,2023,0.918\n```\n\nHow does Spain compare with Nigeria on this measure?","response":"This chart covers Spain only, so Nigeria is not plotted and I cannot compare them from it. The chart does support statements about Spain on its own: the series runs from 0.77 in 1990 to 0.92 in 2023.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Spain__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nDenmark,DNK,1990,0.844\nDenmark,DNK,1991,0.848\nDenmark,DNK,1992,0.85\nDenmark,DNK,1993,0.853\nDenmark,DNK,1994,0.859\nDenmark,DNK,1995,0.862\nDenmark,DNK,1996,0.87\nDenmark,DNK,1997,0.876\nDenmark,DNK,1998,0.883\nDenmark,DNK,1999,0.894\nDenmark,DNK,2000,0.896\nDenmark,DNK,2001,0.902\nDenmark,DNK,2002,0.902\nDenmark,DNK,2003,0.907\nDenmark,DNK,2004,0.912\nDenmark,DNK,2005,0.917\nDenmark,DNK,2006,0.917\nDenmark,DNK,2007,0.918\nDenmark,DNK,2008,0.922\nDenmark,DNK,2009,0.915\nDenmark,DNK,2010,0.92\nDenmark,DNK,2011,0.934\nDenmark,DNK,2012,0.938\nDenmark,DNK,2013,0.941\nDenmark,DNK,2014,0.939\nDenmark,DNK,2015,0.943\nDenmark,DNK,2016,0.951\nDenmark,DNK,2017,0.951\nDenmark,DNK,2018,0.95\nDenmark,DNK,2019,0.953\nDenmark,DNK,2020,0.954\nDenmark,DNK,2021,0.958\nDenmark,DNK,2022,0.959\nDenmark,DNK,2023,0.962\n```\n\nAccording to this chart, what was human development index in Denmark in 2003?","response":"Reading the plotted point for 2003, human development index in Denmark was 0.91.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nDenmark,DNK,1990,0.844\nDenmark,DNK,1991,0.848\nDenmark,DNK,1992,0.85\nDenmark,DNK,1993,0.853\nDenmark,DNK,1994,0.859\nDenmark,DNK,1995,0.862\nDenmark,DNK,1996,0.87\nDenmark,DNK,1997,0.876\nDenmark,DNK,1998,0.883\nDenmark,DNK,1999,0.894\nDenmark,DNK,2000,0.896\nDenmark,DNK,2001,0.902\nDenmark,DNK,2002,0.902\nDenmark,DNK,2003,0.907\nDenmark,DNK,2004,0.912\nDenmark,DNK,2005,0.917\nDenmark,DNK,2006,0.917\nDenmark,DNK,2007,0.918\nDenmark,DNK,2008,0.922\nDenmark,DNK,2009,0.915\nDenmark,DNK,2010,0.92\nDenmark,DNK,2011,0.934\nDenmark,DNK,2012,0.938\nDenmark,DNK,2013,0.941\nDenmark,DNK,2014,0.939\nDenmark,DNK,2015,0.943\nDenmark,DNK,2016,0.951\nDenmark,DNK,2017,0.951\nDenmark,DNK,2018,0.95\nDenmark,DNK,2019,0.953\nDenmark,DNK,2020,0.954\nDenmark,DNK,2021,0.958\nDenmark,DNK,2022,0.959\nDenmark,DNK,2023,0.962\n```\n\nIn which year shown does human development index reach its highest value for Denmark?","response":"The series peaks in 2023, at 0.96. The lowest point shown is 1990, at 0.84.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nDenmark,DNK,1990,0.844\nDenmark,DNK,1991,0.848\nDenmark,DNK,1992,0.85\nDenmark,DNK,1993,0.853\nDenmark,DNK,1994,0.859\nDenmark,DNK,1995,0.862\nDenmark,DNK,1996,0.87\nDenmark,DNK,1997,0.876\nDenmark,DNK,1998,0.883\nDenmark,DNK,1999,0.894\nDenmark,DNK,2000,0.896\nDenmark,DNK,2001,0.902\nDenmark,DNK,2002,0.902\nDenmark,DNK,2003,0.907\nDenmark,DNK,2004,0.912\nDenmark,DNK,2005,0.917\nDenmark,DNK,2006,0.917\nDenmark,DNK,2007,0.918\nDenmark,DNK,2008,0.922\nDenmark,DNK,2009,0.915\nDenmark,DNK,2010,0.92\nDenmark,DNK,2011,0.934\nDenmark,DNK,2012,0.938\nDenmark,DNK,2013,0.941\nDenmark,DNK,2014,0.939\nDenmark,DNK,2015,0.943\nDenmark,DNK,2016,0.951\nDenmark,DNK,2017,0.951\nDenmark,DNK,2018,0.95\nDenmark,DNK,2019,0.953\nDenmark,DNK,2020,0.954\nDenmark,DNK,2021,0.958\nDenmark,DNK,2022,0.959\nDenmark,DNK,2023,0.962\n```\n\nHow much did human development index change for Denmark between 1990 and 2023?","response":"It moved from 0.84 in 1990 to 0.96 in 2023, a change of 0.12 (+13.98%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nDenmark,DNK,1990,0.844\nDenmark,DNK,1991,0.848\nDenmark,DNK,1992,0.85\nDenmark,DNK,1993,0.853\nDenmark,DNK,1994,0.859\nDenmark,DNK,1995,0.862\nDenmark,DNK,1996,0.87\nDenmark,DNK,1997,0.876\nDenmark,DNK,1998,0.883\nDenmark,DNK,1999,0.894\nDenmark,DNK,2000,0.896\nDenmark,DNK,2001,0.902\nDenmark,DNK,2002,0.902\nDenmark,DNK,2003,0.907\nDenmark,DNK,2004,0.912\nDenmark,DNK,2005,0.917\nDenmark,DNK,2006,0.917\nDenmark,DNK,2007,0.918\nDenmark,DNK,2008,0.922\nDenmark,DNK,2009,0.915\nDenmark,DNK,2010,0.92\nDenmark,DNK,2011,0.934\nDenmark,DNK,2012,0.938\nDenmark,DNK,2013,0.941\nDenmark,DNK,2014,0.939\nDenmark,DNK,2015,0.943\nDenmark,DNK,2016,0.951\nDenmark,DNK,2017,0.951\nDenmark,DNK,2018,0.95\nDenmark,DNK,2019,0.953\nDenmark,DNK,2020,0.954\nDenmark,DNK,2021,0.958\nDenmark,DNK,2022,0.959\nDenmark,DNK,2023,0.962\n```\n\nWas human development index in Denmark higher in 1996 or 2008?","response":"Higher in 2008. The chart gives 0.87 for 1996 and 0.92 for 2008, a difference of 0.05.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nDenmark,DNK,1990,0.844\nDenmark,DNK,1991,0.848\nDenmark,DNK,1992,0.85\nDenmark,DNK,1993,0.853\nDenmark,DNK,1994,0.859\nDenmark,DNK,1995,0.862\nDenmark,DNK,1996,0.87\nDenmark,DNK,1997,0.876\nDenmark,DNK,1998,0.883\nDenmark,DNK,1999,0.894\nDenmark,DNK,2000,0.896\nDenmark,DNK,2001,0.902\nDenmark,DNK,2002,0.902\nDenmark,DNK,2003,0.907\nDenmark,DNK,2004,0.912\nDenmark,DNK,2005,0.917\nDenmark,DNK,2006,0.917\nDenmark,DNK,2007,0.918\nDenmark,DNK,2008,0.922\nDenmark,DNK,2009,0.915\nDenmark,DNK,2010,0.92\nDenmark,DNK,2011,0.934\nDenmark,DNK,2012,0.938\nDenmark,DNK,2013,0.941\nDenmark,DNK,2014,0.939\nDenmark,DNK,2015,0.943\nDenmark,DNK,2016,0.951\nDenmark,DNK,2017,0.951\nDenmark,DNK,2018,0.95\nDenmark,DNK,2019,0.953\nDenmark,DNK,2020,0.954\nDenmark,DNK,2021,0.958\nDenmark,DNK,2022,0.959\nDenmark,DNK,2023,0.962\n```\n\nAccording to this chart, what was human development index in Denmark in 2003?","response":"Reading the plotted point for 2003, human development index in Denmark was 0.91.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nDenmark,DNK,1990,0.844\nDenmark,DNK,1991,0.848\nDenmark,DNK,1992,0.85\nDenmark,DNK,1993,0.853\nDenmark,DNK,1994,0.859\nDenmark,DNK,1995,0.862\nDenmark,DNK,1996,0.87\nDenmark,DNK,1997,0.876\nDenmark,DNK,1998,0.883\nDenmark,DNK,1999,0.894\nDenmark,DNK,2000,0.896\nDenmark,DNK,2001,0.902\nDenmark,DNK,2002,0.902\nDenmark,DNK,2003,0.907\nDenmark,DNK,2004,0.912\nDenmark,DNK,2005,0.917\nDenmark,DNK,2006,0.917\nDenmark,DNK,2007,0.918\nDenmark,DNK,2008,0.922\nDenmark,DNK,2009,0.915\nDenmark,DNK,2010,0.92\nDenmark,DNK,2011,0.934\nDenmark,DNK,2012,0.938\nDenmark,DNK,2013,0.941\nDenmark,DNK,2014,0.939\nDenmark,DNK,2015,0.943\nDenmark,DNK,2016,0.951\nDenmark,DNK,2017,0.951\nDenmark,DNK,2018,0.95\nDenmark,DNK,2019,0.953\nDenmark,DNK,2020,0.954\nDenmark,DNK,2021,0.958\nDenmark,DNK,2022,0.959\nDenmark,DNK,2023,0.962\n```\n\nIn which year shown does human development index reach its highest value for Denmark?","response":"The series peaks in 2023, at 0.96. The lowest point shown is 1990, at 0.84.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nDenmark,DNK,1990,0.844\nDenmark,DNK,1991,0.848\nDenmark,DNK,1992,0.85\nDenmark,DNK,1993,0.853\nDenmark,DNK,1994,0.859\nDenmark,DNK,1995,0.862\nDenmark,DNK,1996,0.87\nDenmark,DNK,1997,0.876\nDenmark,DNK,1998,0.883\nDenmark,DNK,1999,0.894\nDenmark,DNK,2000,0.896\nDenmark,DNK,2001,0.902\nDenmark,DNK,2002,0.902\nDenmark,DNK,2003,0.907\nDenmark,DNK,2004,0.912\nDenmark,DNK,2005,0.917\nDenmark,DNK,2006,0.917\nDenmark,DNK,2007,0.918\nDenmark,DNK,2008,0.922\nDenmark,DNK,2009,0.915\nDenmark,DNK,2010,0.92\nDenmark,DNK,2011,0.934\nDenmark,DNK,2012,0.938\nDenmark,DNK,2013,0.941\nDenmark,DNK,2014,0.939\nDenmark,DNK,2015,0.943\nDenmark,DNK,2016,0.951\nDenmark,DNK,2017,0.951\nDenmark,DNK,2018,0.95\nDenmark,DNK,2019,0.953\nDenmark,DNK,2020,0.954\nDenmark,DNK,2021,0.958\nDenmark,DNK,2022,0.959\nDenmark,DNK,2023,0.962\n```\n\nHow much did human development index change for Denmark between 1990 and 2023?","response":"It moved from 0.84 in 1990 to 0.96 in 2023, a change of 0.12 (+13.98%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nDenmark,DNK,1990,0.844\nDenmark,DNK,1991,0.848\nDenmark,DNK,1992,0.85\nDenmark,DNK,1993,0.853\nDenmark,DNK,1994,0.859\nDenmark,DNK,1995,0.862\nDenmark,DNK,1996,0.87\nDenmark,DNK,1997,0.876\nDenmark,DNK,1998,0.883\nDenmark,DNK,1999,0.894\nDenmark,DNK,2000,0.896\nDenmark,DNK,2001,0.902\nDenmark,DNK,2002,0.902\nDenmark,DNK,2003,0.907\nDenmark,DNK,2004,0.912\nDenmark,DNK,2005,0.917\nDenmark,DNK,2006,0.917\nDenmark,DNK,2007,0.918\nDenmark,DNK,2008,0.922\nDenmark,DNK,2009,0.915\nDenmark,DNK,2010,0.92\nDenmark,DNK,2011,0.934\nDenmark,DNK,2012,0.938\nDenmark,DNK,2013,0.941\nDenmark,DNK,2014,0.939\nDenmark,DNK,2015,0.943\nDenmark,DNK,2016,0.951\nDenmark,DNK,2017,0.951\nDenmark,DNK,2018,0.95\nDenmark,DNK,2019,0.953\nDenmark,DNK,2020,0.954\nDenmark,DNK,2021,0.958\nDenmark,DNK,2022,0.959\nDenmark,DNK,2023,0.962\n```\n\nWas human development index in Denmark higher in 1996 or 2008?","response":"Higher in 2008. The chart gives 0.87 for 1996 and 0.92 for 2008, a difference of 0.05.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nDenmark,DNK,1990,0.844\nDenmark,DNK,1991,0.848\nDenmark,DNK,1992,0.85\nDenmark,DNK,1993,0.853\nDenmark,DNK,1994,0.859\nDenmark,DNK,1995,0.862\nDenmark,DNK,1996,0.87\nDenmark,DNK,1997,0.876\nDenmark,DNK,1998,0.883\nDenmark,DNK,1999,0.894\nDenmark,DNK,2000,0.896\nDenmark,DNK,2001,0.902\nDenmark,DNK,2002,0.902\nDenmark,DNK,2003,0.907\nDenmark,DNK,2004,0.912\nDenmark,DNK,2005,0.917\nDenmark,DNK,2006,0.917\nDenmark,DNK,2007,0.918\nDenmark,DNK,2008,0.922\nDenmark,DNK,2009,0.915\nDenmark,DNK,2010,0.92\nDenmark,DNK,2011,0.934\nDenmark,DNK,2012,0.938\nDenmark,DNK,2013,0.941\nDenmark,DNK,2014,0.939\nDenmark,DNK,2015,0.943\nDenmark,DNK,2016,0.951\nDenmark,DNK,2017,0.951\nDenmark,DNK,2018,0.95\nDenmark,DNK,2019,0.953\nDenmark,DNK,2020,0.954\nDenmark,DNK,2021,0.958\nDenmark,DNK,2022,0.959\nDenmark,DNK,2023,0.962\n```\n\nThis chart makes the change in human development index for Denmark look dramatic. Is it?","response":"The values change by +13.98%, from 0.84 to 0.96. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nDenmark,DNK,1990,0.844\nDenmark,DNK,1991,0.848\nDenmark,DNK,1992,0.85\nDenmark,DNK,1993,0.853\nDenmark,DNK,1994,0.859\nDenmark,DNK,1995,0.862\nDenmark,DNK,1996,0.87\nDenmark,DNK,1997,0.876\nDenmark,DNK,1998,0.883\nDenmark,DNK,1999,0.894\nDenmark,DNK,2000,0.896\nDenmark,DNK,2001,0.902\nDenmark,DNK,2002,0.902\nDenmark,DNK,2003,0.907\nDenmark,DNK,2004,0.912\nDenmark,DNK,2005,0.917\nDenmark,DNK,2006,0.917\nDenmark,DNK,2007,0.918\nDenmark,DNK,2008,0.922\nDenmark,DNK,2009,0.915\nDenmark,DNK,2010,0.92\nDenmark,DNK,2011,0.934\nDenmark,DNK,2012,0.938\nDenmark,DNK,2013,0.941\nDenmark,DNK,2014,0.939\nDenmark,DNK,2015,0.943\nDenmark,DNK,2016,0.951\nDenmark,DNK,2017,0.951\nDenmark,DNK,2018,0.95\nDenmark,DNK,2019,0.953\nDenmark,DNK,2020,0.954\nDenmark,DNK,2021,0.958\nDenmark,DNK,2022,0.959\nDenmark,DNK,2023,0.962\n```\n\nThis chart appears to show human development index in Denmark rising steeply. How large is the increase actually?","response":"The plotted values run from 0.84 to 0.96, so the actual change is +13.98%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 0.7298 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nDenmark,DNK,1990,0.844\nDenmark,DNK,1991,0.848\nDenmark,DNK,1992,0.85\nDenmark,DNK,1993,0.853\nDenmark,DNK,1994,0.859\nDenmark,DNK,1995,0.862\nDenmark,DNK,1996,0.87\nDenmark,DNK,1997,0.876\nDenmark,DNK,1998,0.883\nDenmark,DNK,1999,0.894\nDenmark,DNK,2000,0.896\nDenmark,DNK,2001,0.902\nDenmark,DNK,2002,0.902\nDenmark,DNK,2003,0.907\nDenmark,DNK,2004,0.912\nDenmark,DNK,2005,0.917\nDenmark,DNK,2006,0.917\nDenmark,DNK,2007,0.918\nDenmark,DNK,2008,0.922\nDenmark,DNK,2009,0.915\nDenmark,DNK,2010,0.92\nDenmark,DNK,2011,0.934\nDenmark,DNK,2012,0.938\nDenmark,DNK,2013,0.941\nDenmark,DNK,2014,0.939\nDenmark,DNK,2015,0.943\nDenmark,DNK,2016,0.951\nDenmark,DNK,2017,0.951\nDenmark,DNK,2018,0.95\nDenmark,DNK,2019,0.953\nDenmark,DNK,2020,0.954\nDenmark,DNK,2021,0.958\nDenmark,DNK,2022,0.959\nDenmark,DNK,2023,0.962\n```\n\nHow does Denmark compare with Brazil on this measure?","response":"This chart covers Denmark only, so Brazil is not plotted and I cannot compare them from it. The chart does support statements about Denmark on its own: the series runs from 0.84 in 1990 to 0.96 in 2023.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__Denmark__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nFrance,FRA,1990,0.798\nFrance,FRA,1991,0.807\nFrance,FRA,1992,0.814\nFrance,FRA,1993,0.818\nFrance,FRA,1994,0.832\nFrance,FRA,1995,0.837\nFrance,FRA,1996,0.842\nFrance,FRA,1997,0.847\nFrance,FRA,1998,0.851\nFrance,FRA,1999,0.856\nFrance,FRA,2000,0.852\nFrance,FRA,2001,0.855\nFrance,FRA,2002,0.858\nFrance,FRA,2003,0.862\nFrance,FRA,2004,0.869\nFrance,FRA,2005,0.877\nFrance,FRA,2006,0.881\nFrance,FRA,2007,0.884\nFrance,FRA,2008,0.884\nFrance,FRA,2009,0.883\nFrance,FRA,2010,0.888\nFrance,FRA,2011,0.892\nFrance,FRA,2012,0.893\nFrance,FRA,2013,0.896\nFrance,FRA,2014,0.9\nFrance,FRA,2015,0.901\nFrance,FRA,2016,0.905\nFrance,FRA,2017,0.908\nFrance,FRA,2018,0.911\nFrance,FRA,2019,0.914\nFrance,FRA,2020,0.909\nFrance,FRA,2021,0.915\nFrance,FRA,2022,0.916\nFrance,FRA,2023,0.92\n```\n\nAccording to this chart, what was human development index in France in 2006?","response":"Reading the plotted point for 2006, human development index in France was 0.88.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nFrance,FRA,1990,0.798\nFrance,FRA,1991,0.807\nFrance,FRA,1992,0.814\nFrance,FRA,1993,0.818\nFrance,FRA,1994,0.832\nFrance,FRA,1995,0.837\nFrance,FRA,1996,0.842\nFrance,FRA,1997,0.847\nFrance,FRA,1998,0.851\nFrance,FRA,1999,0.856\nFrance,FRA,2000,0.852\nFrance,FRA,2001,0.855\nFrance,FRA,2002,0.858\nFrance,FRA,2003,0.862\nFrance,FRA,2004,0.869\nFrance,FRA,2005,0.877\nFrance,FRA,2006,0.881\nFrance,FRA,2007,0.884\nFrance,FRA,2008,0.884\nFrance,FRA,2009,0.883\nFrance,FRA,2010,0.888\nFrance,FRA,2011,0.892\nFrance,FRA,2012,0.893\nFrance,FRA,2013,0.896\nFrance,FRA,2014,0.9\nFrance,FRA,2015,0.901\nFrance,FRA,2016,0.905\nFrance,FRA,2017,0.908\nFrance,FRA,2018,0.911\nFrance,FRA,2019,0.914\nFrance,FRA,2020,0.909\nFrance,FRA,2021,0.915\nFrance,FRA,2022,0.916\nFrance,FRA,2023,0.92\n```\n\nIn which year shown does human development index reach its highest value for France?","response":"The series peaks in 2023, at 0.92. The lowest point shown is 1990, at 0.8.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nFrance,FRA,1990,0.798\nFrance,FRA,1991,0.807\nFrance,FRA,1992,0.814\nFrance,FRA,1993,0.818\nFrance,FRA,1994,0.832\nFrance,FRA,1995,0.837\nFrance,FRA,1996,0.842\nFrance,FRA,1997,0.847\nFrance,FRA,1998,0.851\nFrance,FRA,1999,0.856\nFrance,FRA,2000,0.852\nFrance,FRA,2001,0.855\nFrance,FRA,2002,0.858\nFrance,FRA,2003,0.862\nFrance,FRA,2004,0.869\nFrance,FRA,2005,0.877\nFrance,FRA,2006,0.881\nFrance,FRA,2007,0.884\nFrance,FRA,2008,0.884\nFrance,FRA,2009,0.883\nFrance,FRA,2010,0.888\nFrance,FRA,2011,0.892\nFrance,FRA,2012,0.893\nFrance,FRA,2013,0.896\nFrance,FRA,2014,0.9\nFrance,FRA,2015,0.901\nFrance,FRA,2016,0.905\nFrance,FRA,2017,0.908\nFrance,FRA,2018,0.911\nFrance,FRA,2019,0.914\nFrance,FRA,2020,0.909\nFrance,FRA,2021,0.915\nFrance,FRA,2022,0.916\nFrance,FRA,2023,0.92\n```\n\nHow much did human development index change for France between 1990 and 2023?","response":"It moved from 0.8 in 1990 to 0.92 in 2023, a change of 0.12 (+15.29%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nFrance,FRA,1990,0.798\nFrance,FRA,1991,0.807\nFrance,FRA,1992,0.814\nFrance,FRA,1993,0.818\nFrance,FRA,1994,0.832\nFrance,FRA,1995,0.837\nFrance,FRA,1996,0.842\nFrance,FRA,1997,0.847\nFrance,FRA,1998,0.851\nFrance,FRA,1999,0.856\nFrance,FRA,2000,0.852\nFrance,FRA,2001,0.855\nFrance,FRA,2002,0.858\nFrance,FRA,2003,0.862\nFrance,FRA,2004,0.869\nFrance,FRA,2005,0.877\nFrance,FRA,2006,0.881\nFrance,FRA,2007,0.884\nFrance,FRA,2008,0.884\nFrance,FRA,2009,0.883\nFrance,FRA,2010,0.888\nFrance,FRA,2011,0.892\nFrance,FRA,2012,0.893\nFrance,FRA,2013,0.896\nFrance,FRA,2014,0.9\nFrance,FRA,2015,0.901\nFrance,FRA,2016,0.905\nFrance,FRA,2017,0.908\nFrance,FRA,2018,0.911\nFrance,FRA,2019,0.914\nFrance,FRA,2020,0.909\nFrance,FRA,2021,0.915\nFrance,FRA,2022,0.916\nFrance,FRA,2023,0.92\n```\n\nWas human development index in France higher in 1998 or 2020?","response":"Higher in 2020. The chart gives 0.85 for 1998 and 0.91 for 2020, a difference of 0.06.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nFrance,FRA,1990,0.798\nFrance,FRA,1991,0.807\nFrance,FRA,1992,0.814\nFrance,FRA,1993,0.818\nFrance,FRA,1994,0.832\nFrance,FRA,1995,0.837\nFrance,FRA,1996,0.842\nFrance,FRA,1997,0.847\nFrance,FRA,1998,0.851\nFrance,FRA,1999,0.856\nFrance,FRA,2000,0.852\nFrance,FRA,2001,0.855\nFrance,FRA,2002,0.858\nFrance,FRA,2003,0.862\nFrance,FRA,2004,0.869\nFrance,FRA,2005,0.877\nFrance,FRA,2006,0.881\nFrance,FRA,2007,0.884\nFrance,FRA,2008,0.884\nFrance,FRA,2009,0.883\nFrance,FRA,2010,0.888\nFrance,FRA,2011,0.892\nFrance,FRA,2012,0.893\nFrance,FRA,2013,0.896\nFrance,FRA,2014,0.9\nFrance,FRA,2015,0.901\nFrance,FRA,2016,0.905\nFrance,FRA,2017,0.908\nFrance,FRA,2018,0.911\nFrance,FRA,2019,0.914\nFrance,FRA,2020,0.909\nFrance,FRA,2021,0.915\nFrance,FRA,2022,0.916\nFrance,FRA,2023,0.92\n```\n\nAccording to this chart, what was human development index in France in 2006?","response":"Reading the plotted point for 2006, human development index in France was 0.88.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nFrance,FRA,1990,0.798\nFrance,FRA,1991,0.807\nFrance,FRA,1992,0.814\nFrance,FRA,1993,0.818\nFrance,FRA,1994,0.832\nFrance,FRA,1995,0.837\nFrance,FRA,1996,0.842\nFrance,FRA,1997,0.847\nFrance,FRA,1998,0.851\nFrance,FRA,1999,0.856\nFrance,FRA,2000,0.852\nFrance,FRA,2001,0.855\nFrance,FRA,2002,0.858\nFrance,FRA,2003,0.862\nFrance,FRA,2004,0.869\nFrance,FRA,2005,0.877\nFrance,FRA,2006,0.881\nFrance,FRA,2007,0.884\nFrance,FRA,2008,0.884\nFrance,FRA,2009,0.883\nFrance,FRA,2010,0.888\nFrance,FRA,2011,0.892\nFrance,FRA,2012,0.893\nFrance,FRA,2013,0.896\nFrance,FRA,2014,0.9\nFrance,FRA,2015,0.901\nFrance,FRA,2016,0.905\nFrance,FRA,2017,0.908\nFrance,FRA,2018,0.911\nFrance,FRA,2019,0.914\nFrance,FRA,2020,0.909\nFrance,FRA,2021,0.915\nFrance,FRA,2022,0.916\nFrance,FRA,2023,0.92\n```\n\nIn which year shown does human development index reach its highest value for France?","response":"The series peaks in 2023, at 0.92. The lowest point shown is 1990, at 0.8.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nFrance,FRA,1990,0.798\nFrance,FRA,1991,0.807\nFrance,FRA,1992,0.814\nFrance,FRA,1993,0.818\nFrance,FRA,1994,0.832\nFrance,FRA,1995,0.837\nFrance,FRA,1996,0.842\nFrance,FRA,1997,0.847\nFrance,FRA,1998,0.851\nFrance,FRA,1999,0.856\nFrance,FRA,2000,0.852\nFrance,FRA,2001,0.855\nFrance,FRA,2002,0.858\nFrance,FRA,2003,0.862\nFrance,FRA,2004,0.869\nFrance,FRA,2005,0.877\nFrance,FRA,2006,0.881\nFrance,FRA,2007,0.884\nFrance,FRA,2008,0.884\nFrance,FRA,2009,0.883\nFrance,FRA,2010,0.888\nFrance,FRA,2011,0.892\nFrance,FRA,2012,0.893\nFrance,FRA,2013,0.896\nFrance,FRA,2014,0.9\nFrance,FRA,2015,0.901\nFrance,FRA,2016,0.905\nFrance,FRA,2017,0.908\nFrance,FRA,2018,0.911\nFrance,FRA,2019,0.914\nFrance,FRA,2020,0.909\nFrance,FRA,2021,0.915\nFrance,FRA,2022,0.916\nFrance,FRA,2023,0.92\n```\n\nHow much did human development index change for France between 1990 and 2023?","response":"It moved from 0.8 in 1990 to 0.92 in 2023, a change of 0.12 (+15.29%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nFrance,FRA,1990,0.798\nFrance,FRA,1991,0.807\nFrance,FRA,1992,0.814\nFrance,FRA,1993,0.818\nFrance,FRA,1994,0.832\nFrance,FRA,1995,0.837\nFrance,FRA,1996,0.842\nFrance,FRA,1997,0.847\nFrance,FRA,1998,0.851\nFrance,FRA,1999,0.856\nFrance,FRA,2000,0.852\nFrance,FRA,2001,0.855\nFrance,FRA,2002,0.858\nFrance,FRA,2003,0.862\nFrance,FRA,2004,0.869\nFrance,FRA,2005,0.877\nFrance,FRA,2006,0.881\nFrance,FRA,2007,0.884\nFrance,FRA,2008,0.884\nFrance,FRA,2009,0.883\nFrance,FRA,2010,0.888\nFrance,FRA,2011,0.892\nFrance,FRA,2012,0.893\nFrance,FRA,2013,0.896\nFrance,FRA,2014,0.9\nFrance,FRA,2015,0.901\nFrance,FRA,2016,0.905\nFrance,FRA,2017,0.908\nFrance,FRA,2018,0.911\nFrance,FRA,2019,0.914\nFrance,FRA,2020,0.909\nFrance,FRA,2021,0.915\nFrance,FRA,2022,0.916\nFrance,FRA,2023,0.92\n```\n\nWas human development index in France higher in 1998 or 2020?","response":"Higher in 2020. The chart gives 0.85 for 1998 and 0.91 for 2020, a difference of 0.06.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nFrance,FRA,1990,0.798\nFrance,FRA,1991,0.807\nFrance,FRA,1992,0.814\nFrance,FRA,1993,0.818\nFrance,FRA,1994,0.832\nFrance,FRA,1995,0.837\nFrance,FRA,1996,0.842\nFrance,FRA,1997,0.847\nFrance,FRA,1998,0.851\nFrance,FRA,1999,0.856\nFrance,FRA,2000,0.852\nFrance,FRA,2001,0.855\nFrance,FRA,2002,0.858\nFrance,FRA,2003,0.862\nFrance,FRA,2004,0.869\nFrance,FRA,2005,0.877\nFrance,FRA,2006,0.881\nFrance,FRA,2007,0.884\nFrance,FRA,2008,0.884\nFrance,FRA,2009,0.883\nFrance,FRA,2010,0.888\nFrance,FRA,2011,0.892\nFrance,FRA,2012,0.893\nFrance,FRA,2013,0.896\nFrance,FRA,2014,0.9\nFrance,FRA,2015,0.901\nFrance,FRA,2016,0.905\nFrance,FRA,2017,0.908\nFrance,FRA,2018,0.911\nFrance,FRA,2019,0.914\nFrance,FRA,2020,0.909\nFrance,FRA,2021,0.915\nFrance,FRA,2022,0.916\nFrance,FRA,2023,0.92\n```\n\nBased on this chart, is human development index in France rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.8 to 0.92, a change of +15.29%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nFrance,FRA,1990,0.798\nFrance,FRA,1991,0.807\nFrance,FRA,1992,0.814\nFrance,FRA,1993,0.818\nFrance,FRA,1994,0.832\nFrance,FRA,1995,0.837\nFrance,FRA,1996,0.842\nFrance,FRA,1997,0.847\nFrance,FRA,1998,0.851\nFrance,FRA,1999,0.856\nFrance,FRA,2000,0.852\nFrance,FRA,2001,0.855\nFrance,FRA,2002,0.858\nFrance,FRA,2003,0.862\nFrance,FRA,2004,0.869\nFrance,FRA,2005,0.877\nFrance,FRA,2006,0.881\nFrance,FRA,2007,0.884\nFrance,FRA,2008,0.884\nFrance,FRA,2009,0.883\nFrance,FRA,2010,0.888\nFrance,FRA,2011,0.892\nFrance,FRA,2012,0.893\nFrance,FRA,2013,0.896\nFrance,FRA,2014,0.9\nFrance,FRA,2015,0.901\nFrance,FRA,2016,0.905\nFrance,FRA,2017,0.908\nFrance,FRA,2018,0.911\nFrance,FRA,2019,0.914\nFrance,FRA,2020,0.909\nFrance,FRA,2021,0.915\nFrance,FRA,2022,0.916\nFrance,FRA,2023,0.92\n```\n\nThis chart makes the change in human development index for France look dramatic. Is it?","response":"The values change by +15.29%, from 0.8 to 0.92. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Human Development Index\nFrance,FRA,1990,0.798\nFrance,FRA,1991,0.807\nFrance,FRA,1992,0.814\nFrance,FRA,1993,0.818\nFrance,FRA,1994,0.832\nFrance,FRA,1995,0.837\nFrance,FRA,1996,0.842\nFrance,FRA,1997,0.847\nFrance,FRA,1998,0.851\nFrance,FRA,1999,0.856\nFrance,FRA,2000,0.852\nFrance,FRA,2001,0.855\nFrance,FRA,2002,0.858\nFrance,FRA,2003,0.862\nFrance,FRA,2004,0.869\nFrance,FRA,2005,0.877\nFrance,FRA,2006,0.881\nFrance,FRA,2007,0.884\nFrance,FRA,2008,0.884\nFrance,FRA,2009,0.883\nFrance,FRA,2010,0.888\nFrance,FRA,2011,0.892\nFrance,FRA,2012,0.893\nFrance,FRA,2013,0.896\nFrance,FRA,2014,0.9\nFrance,FRA,2015,0.901\nFrance,FRA,2016,0.905\nFrance,FRA,2017,0.908\nFrance,FRA,2018,0.911\nFrance,FRA,2019,0.914\nFrance,FRA,2020,0.909\nFrance,FRA,2021,0.915\nFrance,FRA,2022,0.916\nFrance,FRA,2023,0.92\n```\n\nWhat was human development index for France in 1975?","response":"That year is outside this chart. The series runs 1990 to 2023, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 0.8.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/human-development-index__France__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Human Development Index","source_citation":"UNDP, Human Development Report (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/human-development-index?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nFrance,FRA,1995,15.0507765\nFrance,FRA,1996,13.214124\nFrance,FRA,1997,12.975907\nFrance,FRA,1998,12.539284\nFrance,FRA,1999,14.187551\nFrance,FRA,2000,12.736593\nFrance,FRA,2001,14.023221\nFrance,FRA,2002,11.372541\nFrance,FRA,2003,10.993866\nFrance,FRA,2004,11.022427\nFrance,FRA,2005,9.660189\nFrance,FRA,2006,10.736824\nFrance,FRA,2007,11.444539\nFrance,FRA,2008,12.757065\nFrance,FRA,2009,12.885964\nFrance,FRA,2010,13.635394\nFrance,FRA,2011,11.630405\nFrance,FRA,2012,15.019909\nFrance,FRA,2013,17.239706\nFrance,FRA,2014,16.60398\nFrance,FRA,2015,15.996098\nFrance,FRA,2016,17.715267\nFrance,FRA,2017,16.538311\nFrance,FRA,2018,19.757393\nFrance,FRA,2019,19.963926\nFrance,FRA,2020,23.713608\nFrance,FRA,2021,22.187494\nFrance,FRA,2022,24.201088\nFrance,FRA,2023,26.889639\nFrance,FRA,2024,27.176117\n```\n\nAccording to this chart, what was renewables in France in 1999?","response":"Reading the plotted point for 1999, renewables in France was 14.19 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nFrance,FRA,1995,15.0507765\nFrance,FRA,1996,13.214124\nFrance,FRA,1997,12.975907\nFrance,FRA,1998,12.539284\nFrance,FRA,1999,14.187551\nFrance,FRA,2000,12.736593\nFrance,FRA,2001,14.023221\nFrance,FRA,2002,11.372541\nFrance,FRA,2003,10.993866\nFrance,FRA,2004,11.022427\nFrance,FRA,2005,9.660189\nFrance,FRA,2006,10.736824\nFrance,FRA,2007,11.444539\nFrance,FRA,2008,12.757065\nFrance,FRA,2009,12.885964\nFrance,FRA,2010,13.635394\nFrance,FRA,2011,11.630405\nFrance,FRA,2012,15.019909\nFrance,FRA,2013,17.239706\nFrance,FRA,2014,16.60398\nFrance,FRA,2015,15.996098\nFrance,FRA,2016,17.715267\nFrance,FRA,2017,16.538311\nFrance,FRA,2018,19.757393\nFrance,FRA,2019,19.963926\nFrance,FRA,2020,23.713608\nFrance,FRA,2021,22.187494\nFrance,FRA,2022,24.201088\nFrance,FRA,2023,26.889639\nFrance,FRA,2024,27.176117\n```\n\nIn which year shown does renewables reach its highest value for France?","response":"The series peaks in 2024, at 27.18 %. The lowest point shown is 2005, at 9.66 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nFrance,FRA,1995,15.0507765\nFrance,FRA,1996,13.214124\nFrance,FRA,1997,12.975907\nFrance,FRA,1998,12.539284\nFrance,FRA,1999,14.187551\nFrance,FRA,2000,12.736593\nFrance,FRA,2001,14.023221\nFrance,FRA,2002,11.372541\nFrance,FRA,2003,10.993866\nFrance,FRA,2004,11.022427\nFrance,FRA,2005,9.660189\nFrance,FRA,2006,10.736824\nFrance,FRA,2007,11.444539\nFrance,FRA,2008,12.757065\nFrance,FRA,2009,12.885964\nFrance,FRA,2010,13.635394\nFrance,FRA,2011,11.630405\nFrance,FRA,2012,15.019909\nFrance,FRA,2013,17.239706\nFrance,FRA,2014,16.60398\nFrance,FRA,2015,15.996098\nFrance,FRA,2016,17.715267\nFrance,FRA,2017,16.538311\nFrance,FRA,2018,19.757393\nFrance,FRA,2019,19.963926\nFrance,FRA,2020,23.713608\nFrance,FRA,2021,22.187494\nFrance,FRA,2022,24.201088\nFrance,FRA,2023,26.889639\nFrance,FRA,2024,27.176117\n```\n\nHow much did renewables change for France between 1995 and 2024?","response":"It moved from 15.05 % in 1995 to 27.18 % in 2024, a change of 12.13 % (+80.56%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nFrance,FRA,1995,15.0507765\nFrance,FRA,1996,13.214124\nFrance,FRA,1997,12.975907\nFrance,FRA,1998,12.539284\nFrance,FRA,1999,14.187551\nFrance,FRA,2000,12.736593\nFrance,FRA,2001,14.023221\nFrance,FRA,2002,11.372541\nFrance,FRA,2003,10.993866\nFrance,FRA,2004,11.022427\nFrance,FRA,2005,9.660189\nFrance,FRA,2006,10.736824\nFrance,FRA,2007,11.444539\nFrance,FRA,2008,12.757065\nFrance,FRA,2009,12.885964\nFrance,FRA,2010,13.635394\nFrance,FRA,2011,11.630405\nFrance,FRA,2012,15.019909\nFrance,FRA,2013,17.239706\nFrance,FRA,2014,16.60398\nFrance,FRA,2015,15.996098\nFrance,FRA,2016,17.715267\nFrance,FRA,2017,16.538311\nFrance,FRA,2018,19.757393\nFrance,FRA,2019,19.963926\nFrance,FRA,2020,23.713608\nFrance,FRA,2021,22.187494\nFrance,FRA,2022,24.201088\nFrance,FRA,2023,26.889639\nFrance,FRA,2024,27.176117\n```\n\nWas renewables in France higher in 2006 or 2023?","response":"Higher in 2023. The chart gives 10.74 % for 2006 and 26.89 % for 2023, a difference of 16.15 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nFrance,FRA,1995,15.0507765\nFrance,FRA,1996,13.214124\nFrance,FRA,1997,12.975907\nFrance,FRA,1998,12.539284\nFrance,FRA,1999,14.187551\nFrance,FRA,2000,12.736593\nFrance,FRA,2001,14.023221\nFrance,FRA,2002,11.372541\nFrance,FRA,2003,10.993866\nFrance,FRA,2004,11.022427\nFrance,FRA,2005,9.660189\nFrance,FRA,2006,10.736824\nFrance,FRA,2007,11.444539\nFrance,FRA,2008,12.757065\nFrance,FRA,2009,12.885964\nFrance,FRA,2010,13.635394\nFrance,FRA,2011,11.630405\nFrance,FRA,2012,15.019909\nFrance,FRA,2013,17.239706\nFrance,FRA,2014,16.60398\nFrance,FRA,2015,15.996098\nFrance,FRA,2016,17.715267\nFrance,FRA,2017,16.538311\nFrance,FRA,2018,19.757393\nFrance,FRA,2019,19.963926\nFrance,FRA,2020,23.713608\nFrance,FRA,2021,22.187494\nFrance,FRA,2022,24.201088\nFrance,FRA,2023,26.889639\nFrance,FRA,2024,27.176117\n```\n\nAccording to this chart, what was renewables in France in 1999?","response":"Reading the plotted point for 1999, renewables in France was 14.19 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nFrance,FRA,1995,15.0507765\nFrance,FRA,1996,13.214124\nFrance,FRA,1997,12.975907\nFrance,FRA,1998,12.539284\nFrance,FRA,1999,14.187551\nFrance,FRA,2000,12.736593\nFrance,FRA,2001,14.023221\nFrance,FRA,2002,11.372541\nFrance,FRA,2003,10.993866\nFrance,FRA,2004,11.022427\nFrance,FRA,2005,9.660189\nFrance,FRA,2006,10.736824\nFrance,FRA,2007,11.444539\nFrance,FRA,2008,12.757065\nFrance,FRA,2009,12.885964\nFrance,FRA,2010,13.635394\nFrance,FRA,2011,11.630405\nFrance,FRA,2012,15.019909\nFrance,FRA,2013,17.239706\nFrance,FRA,2014,16.60398\nFrance,FRA,2015,15.996098\nFrance,FRA,2016,17.715267\nFrance,FRA,2017,16.538311\nFrance,FRA,2018,19.757393\nFrance,FRA,2019,19.963926\nFrance,FRA,2020,23.713608\nFrance,FRA,2021,22.187494\nFrance,FRA,2022,24.201088\nFrance,FRA,2023,26.889639\nFrance,FRA,2024,27.176117\n```\n\nIn which year shown does renewables reach its highest value for France?","response":"The series peaks in 2024, at 27.18 %. The lowest point shown is 2005, at 9.66 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nFrance,FRA,1995,15.0507765\nFrance,FRA,1996,13.214124\nFrance,FRA,1997,12.975907\nFrance,FRA,1998,12.539284\nFrance,FRA,1999,14.187551\nFrance,FRA,2000,12.736593\nFrance,FRA,2001,14.023221\nFrance,FRA,2002,11.372541\nFrance,FRA,2003,10.993866\nFrance,FRA,2004,11.022427\nFrance,FRA,2005,9.660189\nFrance,FRA,2006,10.736824\nFrance,FRA,2007,11.444539\nFrance,FRA,2008,12.757065\nFrance,FRA,2009,12.885964\nFrance,FRA,2010,13.635394\nFrance,FRA,2011,11.630405\nFrance,FRA,2012,15.019909\nFrance,FRA,2013,17.239706\nFrance,FRA,2014,16.60398\nFrance,FRA,2015,15.996098\nFrance,FRA,2016,17.715267\nFrance,FRA,2017,16.538311\nFrance,FRA,2018,19.757393\nFrance,FRA,2019,19.963926\nFrance,FRA,2020,23.713608\nFrance,FRA,2021,22.187494\nFrance,FRA,2022,24.201088\nFrance,FRA,2023,26.889639\nFrance,FRA,2024,27.176117\n```\n\nHow much did renewables change for France between 1995 and 2024?","response":"It moved from 15.05 % in 1995 to 27.18 % in 2024, a change of 12.13 % (+80.56%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nFrance,FRA,1995,15.0507765\nFrance,FRA,1996,13.214124\nFrance,FRA,1997,12.975907\nFrance,FRA,1998,12.539284\nFrance,FRA,1999,14.187551\nFrance,FRA,2000,12.736593\nFrance,FRA,2001,14.023221\nFrance,FRA,2002,11.372541\nFrance,FRA,2003,10.993866\nFrance,FRA,2004,11.022427\nFrance,FRA,2005,9.660189\nFrance,FRA,2006,10.736824\nFrance,FRA,2007,11.444539\nFrance,FRA,2008,12.757065\nFrance,FRA,2009,12.885964\nFrance,FRA,2010,13.635394\nFrance,FRA,2011,11.630405\nFrance,FRA,2012,15.019909\nFrance,FRA,2013,17.239706\nFrance,FRA,2014,16.60398\nFrance,FRA,2015,15.996098\nFrance,FRA,2016,17.715267\nFrance,FRA,2017,16.538311\nFrance,FRA,2018,19.757393\nFrance,FRA,2019,19.963926\nFrance,FRA,2020,23.713608\nFrance,FRA,2021,22.187494\nFrance,FRA,2022,24.201088\nFrance,FRA,2023,26.889639\nFrance,FRA,2024,27.176117\n```\n\nWas renewables in France higher in 2006 or 2023?","response":"Higher in 2023. The chart gives 10.74 % for 2006 and 26.89 % for 2023, a difference of 16.15 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nFrance,FRA,1995,15.0507765\nFrance,FRA,1996,13.214124\nFrance,FRA,1997,12.975907\nFrance,FRA,1998,12.539284\nFrance,FRA,1999,14.187551\nFrance,FRA,2000,12.736593\nFrance,FRA,2001,14.023221\nFrance,FRA,2002,11.372541\nFrance,FRA,2003,10.993866\nFrance,FRA,2004,11.022427\nFrance,FRA,2005,9.660189\nFrance,FRA,2006,10.736824\nFrance,FRA,2007,11.444539\nFrance,FRA,2008,12.757065\nFrance,FRA,2009,12.885964\nFrance,FRA,2010,13.635394\nFrance,FRA,2011,11.630405\nFrance,FRA,2012,15.019909\nFrance,FRA,2013,17.239706\nFrance,FRA,2014,16.60398\nFrance,FRA,2015,15.996098\nFrance,FRA,2016,17.715267\nFrance,FRA,2017,16.538311\nFrance,FRA,2018,19.757393\nFrance,FRA,2019,19.963926\nFrance,FRA,2020,23.713608\nFrance,FRA,2021,22.187494\nFrance,FRA,2022,24.201088\nFrance,FRA,2023,26.889639\nFrance,FRA,2024,27.176117\n```\n\nBased on this chart, is renewables in France rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 15.05 % to 27.18 %, a change of +80.56%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nFrance,FRA,1998,12.539284\nFrance,FRA,1999,14.187551\nFrance,FRA,2000,12.736593\nFrance,FRA,2001,14.023221\nFrance,FRA,2002,11.372541\nFrance,FRA,2003,10.993866\nFrance,FRA,2004,11.022427\nFrance,FRA,2005,9.660189\nFrance,FRA,2006,10.736824\n```\n\nWhat does this chart suggest about the long-run direction of renewables in France?","response":"Within the window shown (1998-2006) the series moves -14.37%, but that window runs against the longer record. Across the full series (1995-2024) the change is +80.56%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nFrance,FRA,1995,15.0507765\nFrance,FRA,1996,13.214124\nFrance,FRA,1997,12.975907\nFrance,FRA,1998,12.539284\nFrance,FRA,1999,14.187551\nFrance,FRA,2000,12.736593\nFrance,FRA,2001,14.023221\nFrance,FRA,2002,11.372541\nFrance,FRA,2003,10.993866\nFrance,FRA,2004,11.022427\nFrance,FRA,2005,9.660189\nFrance,FRA,2006,10.736824\nFrance,FRA,2007,11.444539\nFrance,FRA,2008,12.757065\nFrance,FRA,2009,12.885964\nFrance,FRA,2010,13.635394\nFrance,FRA,2011,11.630405\nFrance,FRA,2012,15.019909\nFrance,FRA,2013,17.239706\nFrance,FRA,2014,16.60398\nFrance,FRA,2015,15.996098\nFrance,FRA,2016,17.715267\nFrance,FRA,2017,16.538311\nFrance,FRA,2018,19.757393\nFrance,FRA,2019,19.963926\nFrance,FRA,2020,23.713608\nFrance,FRA,2021,22.187494\nFrance,FRA,2022,24.201088\nFrance,FRA,2023,26.889639\nFrance,FRA,2024,27.176117\n```\n\nWhat caused the change in renewables for France around 2020?","response":"The chart shows that the change happened: renewables moves to 23.71 % in 2020. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__France__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nCanada,CAN,1995,61.172176\nCanada,CAN,1996,63.361584\nCanada,CAN,1997,62.360817\nCanada,CAN,1998,60.486572\nCanada,CAN,1999,61.290302\nCanada,CAN,2000,60.607464\nCanada,CAN,2001,58.108753\nCanada,CAN,2002,59.97933\nCanada,CAN,2003,58.862423\nCanada,CAN,2004,58.33751\nCanada,CAN,2005,60.066074\nCanada,CAN,2006,59.878708\nCanada,CAN,2007,59.86376\nCanada,CAN,2008,61.296467\nCanada,CAN,2009,62.615864\nCanada,CAN,2010,61.062878\nCanada,CAN,2011,62.150814\nCanada,CAN,2012,63.369152\nCanada,CAN,2013,63.36531\nCanada,CAN,2014,62.36734\nCanada,CAN,2015,63.84099\nCanada,CAN,2016,64.56463\nCanada,CAN,2017,65.81908\nCanada,CAN,2018,65.545975\nCanada,CAN,2019,65.382034\nCanada,CAN,2020,66.59501\nCanada,CAN,2021,66.736664\nCanada,CAN,2022,68.134865\nCanada,CAN,2023,65.397026\nCanada,CAN,2024,64.27237\n```\n\nAccording to this chart, what was renewables in Canada in 2005?","response":"Reading the plotted point for 2005, renewables in Canada was 60.07 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nCanada,CAN,1995,61.172176\nCanada,CAN,1996,63.361584\nCanada,CAN,1997,62.360817\nCanada,CAN,1998,60.486572\nCanada,CAN,1999,61.290302\nCanada,CAN,2000,60.607464\nCanada,CAN,2001,58.108753\nCanada,CAN,2002,59.97933\nCanada,CAN,2003,58.862423\nCanada,CAN,2004,58.33751\nCanada,CAN,2005,60.066074\nCanada,CAN,2006,59.878708\nCanada,CAN,2007,59.86376\nCanada,CAN,2008,61.296467\nCanada,CAN,2009,62.615864\nCanada,CAN,2010,61.062878\nCanada,CAN,2011,62.150814\nCanada,CAN,2012,63.369152\nCanada,CAN,2013,63.36531\nCanada,CAN,2014,62.36734\nCanada,CAN,2015,63.84099\nCanada,CAN,2016,64.56463\nCanada,CAN,2017,65.81908\nCanada,CAN,2018,65.545975\nCanada,CAN,2019,65.382034\nCanada,CAN,2020,66.59501\nCanada,CAN,2021,66.736664\nCanada,CAN,2022,68.134865\nCanada,CAN,2023,65.397026\nCanada,CAN,2024,64.27237\n```\n\nIn which year shown does renewables reach its highest value for Canada?","response":"The series peaks in 2022, at 68.13 %. The lowest point shown is 2001, at 58.11 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nCanada,CAN,1995,61.172176\nCanada,CAN,1996,63.361584\nCanada,CAN,1997,62.360817\nCanada,CAN,1998,60.486572\nCanada,CAN,1999,61.290302\nCanada,CAN,2000,60.607464\nCanada,CAN,2001,58.108753\nCanada,CAN,2002,59.97933\nCanada,CAN,2003,58.862423\nCanada,CAN,2004,58.33751\nCanada,CAN,2005,60.066074\nCanada,CAN,2006,59.878708\nCanada,CAN,2007,59.86376\nCanada,CAN,2008,61.296467\nCanada,CAN,2009,62.615864\nCanada,CAN,2010,61.062878\nCanada,CAN,2011,62.150814\nCanada,CAN,2012,63.369152\nCanada,CAN,2013,63.36531\nCanada,CAN,2014,62.36734\nCanada,CAN,2015,63.84099\nCanada,CAN,2016,64.56463\nCanada,CAN,2017,65.81908\nCanada,CAN,2018,65.545975\nCanada,CAN,2019,65.382034\nCanada,CAN,2020,66.59501\nCanada,CAN,2021,66.736664\nCanada,CAN,2022,68.134865\nCanada,CAN,2023,65.397026\nCanada,CAN,2024,64.27237\n```\n\nHow much did renewables change for Canada between 1995 and 2024?","response":"It moved from 61.17 % in 1995 to 64.27 % in 2024, a change of 3.1 % (+5.07%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nCanada,CAN,1995,61.172176\nCanada,CAN,1996,63.361584\nCanada,CAN,1997,62.360817\nCanada,CAN,1998,60.486572\nCanada,CAN,1999,61.290302\nCanada,CAN,2000,60.607464\nCanada,CAN,2001,58.108753\nCanada,CAN,2002,59.97933\nCanada,CAN,2003,58.862423\nCanada,CAN,2004,58.33751\nCanada,CAN,2005,60.066074\nCanada,CAN,2006,59.878708\nCanada,CAN,2007,59.86376\nCanada,CAN,2008,61.296467\nCanada,CAN,2009,62.615864\nCanada,CAN,2010,61.062878\nCanada,CAN,2011,62.150814\nCanada,CAN,2012,63.369152\nCanada,CAN,2013,63.36531\nCanada,CAN,2014,62.36734\nCanada,CAN,2015,63.84099\nCanada,CAN,2016,64.56463\nCanada,CAN,2017,65.81908\nCanada,CAN,2018,65.545975\nCanada,CAN,2019,65.382034\nCanada,CAN,2020,66.59501\nCanada,CAN,2021,66.736664\nCanada,CAN,2022,68.134865\nCanada,CAN,2023,65.397026\nCanada,CAN,2024,64.27237\n```\n\nWas renewables in Canada higher in 2005 or 2014?","response":"Higher in 2014. The chart gives 60.07 % for 2005 and 62.37 % for 2014, a difference of 2.3 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nCanada,CAN,1995,61.172176\nCanada,CAN,1996,63.361584\nCanada,CAN,1997,62.360817\nCanada,CAN,1998,60.486572\nCanada,CAN,1999,61.290302\nCanada,CAN,2000,60.607464\nCanada,CAN,2001,58.108753\nCanada,CAN,2002,59.97933\nCanada,CAN,2003,58.862423\nCanada,CAN,2004,58.33751\nCanada,CAN,2005,60.066074\nCanada,CAN,2006,59.878708\nCanada,CAN,2007,59.86376\nCanada,CAN,2008,61.296467\nCanada,CAN,2009,62.615864\nCanada,CAN,2010,61.062878\nCanada,CAN,2011,62.150814\nCanada,CAN,2012,63.369152\nCanada,CAN,2013,63.36531\nCanada,CAN,2014,62.36734\nCanada,CAN,2015,63.84099\nCanada,CAN,2016,64.56463\nCanada,CAN,2017,65.81908\nCanada,CAN,2018,65.545975\nCanada,CAN,2019,65.382034\nCanada,CAN,2020,66.59501\nCanada,CAN,2021,66.736664\nCanada,CAN,2022,68.134865\nCanada,CAN,2023,65.397026\nCanada,CAN,2024,64.27237\n```\n\nAccording to this chart, what was renewables in Canada in 2005?","response":"Reading the plotted point for 2005, renewables in Canada was 60.07 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nCanada,CAN,1995,61.172176\nCanada,CAN,1996,63.361584\nCanada,CAN,1997,62.360817\nCanada,CAN,1998,60.486572\nCanada,CAN,1999,61.290302\nCanada,CAN,2000,60.607464\nCanada,CAN,2001,58.108753\nCanada,CAN,2002,59.97933\nCanada,CAN,2003,58.862423\nCanada,CAN,2004,58.33751\nCanada,CAN,2005,60.066074\nCanada,CAN,2006,59.878708\nCanada,CAN,2007,59.86376\nCanada,CAN,2008,61.296467\nCanada,CAN,2009,62.615864\nCanada,CAN,2010,61.062878\nCanada,CAN,2011,62.150814\nCanada,CAN,2012,63.369152\nCanada,CAN,2013,63.36531\nCanada,CAN,2014,62.36734\nCanada,CAN,2015,63.84099\nCanada,CAN,2016,64.56463\nCanada,CAN,2017,65.81908\nCanada,CAN,2018,65.545975\nCanada,CAN,2019,65.382034\nCanada,CAN,2020,66.59501\nCanada,CAN,2021,66.736664\nCanada,CAN,2022,68.134865\nCanada,CAN,2023,65.397026\nCanada,CAN,2024,64.27237\n```\n\nIn which year shown does renewables reach its highest value for Canada?","response":"The series peaks in 2022, at 68.13 %. The lowest point shown is 2001, at 58.11 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nCanada,CAN,1995,61.172176\nCanada,CAN,1996,63.361584\nCanada,CAN,1997,62.360817\nCanada,CAN,1998,60.486572\nCanada,CAN,1999,61.290302\nCanada,CAN,2000,60.607464\nCanada,CAN,2001,58.108753\nCanada,CAN,2002,59.97933\nCanada,CAN,2003,58.862423\nCanada,CAN,2004,58.33751\nCanada,CAN,2005,60.066074\nCanada,CAN,2006,59.878708\nCanada,CAN,2007,59.86376\nCanada,CAN,2008,61.296467\nCanada,CAN,2009,62.615864\nCanada,CAN,2010,61.062878\nCanada,CAN,2011,62.150814\nCanada,CAN,2012,63.369152\nCanada,CAN,2013,63.36531\nCanada,CAN,2014,62.36734\nCanada,CAN,2015,63.84099\nCanada,CAN,2016,64.56463\nCanada,CAN,2017,65.81908\nCanada,CAN,2018,65.545975\nCanada,CAN,2019,65.382034\nCanada,CAN,2020,66.59501\nCanada,CAN,2021,66.736664\nCanada,CAN,2022,68.134865\nCanada,CAN,2023,65.397026\nCanada,CAN,2024,64.27237\n```\n\nHow much did renewables change for Canada between 1995 and 2024?","response":"It moved from 61.17 % in 1995 to 64.27 % in 2024, a change of 3.1 % (+5.07%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nCanada,CAN,1995,61.172176\nCanada,CAN,1996,63.361584\nCanada,CAN,1997,62.360817\nCanada,CAN,1998,60.486572\nCanada,CAN,1999,61.290302\nCanada,CAN,2000,60.607464\nCanada,CAN,2001,58.108753\nCanada,CAN,2002,59.97933\nCanada,CAN,2003,58.862423\nCanada,CAN,2004,58.33751\nCanada,CAN,2005,60.066074\nCanada,CAN,2006,59.878708\nCanada,CAN,2007,59.86376\nCanada,CAN,2008,61.296467\nCanada,CAN,2009,62.615864\nCanada,CAN,2010,61.062878\nCanada,CAN,2011,62.150814\nCanada,CAN,2012,63.369152\nCanada,CAN,2013,63.36531\nCanada,CAN,2014,62.36734\nCanada,CAN,2015,63.84099\nCanada,CAN,2016,64.56463\nCanada,CAN,2017,65.81908\nCanada,CAN,2018,65.545975\nCanada,CAN,2019,65.382034\nCanada,CAN,2020,66.59501\nCanada,CAN,2021,66.736664\nCanada,CAN,2022,68.134865\nCanada,CAN,2023,65.397026\nCanada,CAN,2024,64.27237\n```\n\nWas renewables in Canada higher in 2005 or 2014?","response":"Higher in 2014. The chart gives 60.07 % for 2005 and 62.37 % for 2014, a difference of 2.3 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nCanada,CAN,1995,61.172176\nCanada,CAN,1996,63.361584\nCanada,CAN,1997,62.360817\nCanada,CAN,1998,60.486572\nCanada,CAN,1999,61.290302\nCanada,CAN,2000,60.607464\nCanada,CAN,2001,58.108753\nCanada,CAN,2002,59.97933\nCanada,CAN,2003,58.862423\nCanada,CAN,2004,58.33751\nCanada,CAN,2005,60.066074\nCanada,CAN,2006,59.878708\nCanada,CAN,2007,59.86376\nCanada,CAN,2008,61.296467\nCanada,CAN,2009,62.615864\nCanada,CAN,2010,61.062878\nCanada,CAN,2011,62.150814\nCanada,CAN,2012,63.369152\nCanada,CAN,2013,63.36531\nCanada,CAN,2014,62.36734\nCanada,CAN,2015,63.84099\nCanada,CAN,2016,64.56463\nCanada,CAN,2017,65.81908\nCanada,CAN,2018,65.545975\nCanada,CAN,2019,65.382034\nCanada,CAN,2020,66.59501\nCanada,CAN,2021,66.736664\nCanada,CAN,2022,68.134865\nCanada,CAN,2023,65.397026\nCanada,CAN,2024,64.27237\n```\n\nBased on this chart, is renewables in Canada rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 61.17 % to 64.27 %, a change of +5.07%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nCanada,CAN,1995,61.172176\nCanada,CAN,1996,63.361584\nCanada,CAN,1997,62.360817\nCanada,CAN,1998,60.486572\nCanada,CAN,1999,61.290302\nCanada,CAN,2000,60.607464\nCanada,CAN,2001,58.108753\nCanada,CAN,2002,59.97933\nCanada,CAN,2003,58.862423\nCanada,CAN,2004,58.33751\nCanada,CAN,2005,60.066074\nCanada,CAN,2006,59.878708\nCanada,CAN,2007,59.86376\nCanada,CAN,2008,61.296467\nCanada,CAN,2009,62.615864\nCanada,CAN,2010,61.062878\nCanada,CAN,2011,62.150814\nCanada,CAN,2012,63.369152\nCanada,CAN,2013,63.36531\nCanada,CAN,2014,62.36734\nCanada,CAN,2015,63.84099\nCanada,CAN,2016,64.56463\nCanada,CAN,2017,65.81908\nCanada,CAN,2018,65.545975\nCanada,CAN,2019,65.382034\nCanada,CAN,2020,66.59501\nCanada,CAN,2021,66.736664\nCanada,CAN,2022,68.134865\nCanada,CAN,2023,65.397026\nCanada,CAN,2024,64.27237\n```\n\nThis chart makes the change in renewables for Canada look dramatic. Is it?","response":"The values change by +5.07%, from 61.17 % to 64.27 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nCanada,CAN,1996,63.361584\nCanada,CAN,1997,62.360817\nCanada,CAN,1998,60.486572\nCanada,CAN,1999,61.290302\nCanada,CAN,2000,60.607464\nCanada,CAN,2001,58.108753\nCanada,CAN,2002,59.97933\nCanada,CAN,2003,58.862423\nCanada,CAN,2004,58.33751\n```\n\nWhat does this chart suggest about the long-run direction of renewables in Canada?","response":"Within the window shown (1996-2004) the series moves -7.93%, but that window runs against the longer record. Across the full series (1995-2024) the change is +5.07%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nCanada,CAN,1995,61.172176\nCanada,CAN,1996,63.361584\nCanada,CAN,1997,62.360817\nCanada,CAN,1998,60.486572\nCanada,CAN,1999,61.290302\nCanada,CAN,2000,60.607464\nCanada,CAN,2001,58.108753\nCanada,CAN,2002,59.97933\nCanada,CAN,2003,58.862423\nCanada,CAN,2004,58.33751\nCanada,CAN,2005,60.066074\nCanada,CAN,2006,59.878708\nCanada,CAN,2007,59.86376\nCanada,CAN,2008,61.296467\nCanada,CAN,2009,62.615864\nCanada,CAN,2010,61.062878\nCanada,CAN,2011,62.150814\nCanada,CAN,2012,63.369152\nCanada,CAN,2013,63.36531\nCanada,CAN,2014,62.36734\nCanada,CAN,2015,63.84099\nCanada,CAN,2016,64.56463\nCanada,CAN,2017,65.81908\nCanada,CAN,2018,65.545975\nCanada,CAN,2019,65.382034\nCanada,CAN,2020,66.59501\nCanada,CAN,2021,66.736664\nCanada,CAN,2022,68.134865\nCanada,CAN,2023,65.397026\nCanada,CAN,2024,64.27237\n```\n\nWhat was renewables for Canada in 1980?","response":"That year is outside this chart. The series runs 1995 to 2024, and 1980 falls before it begins, so there is no value to read. The earliest point available is 1995, at 61.17 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Canada__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nUnited Kingdom,GBR,1995,1.9797283\nUnited Kingdom,GBR,1996,1.6216832\nUnited Kingdom,GBR,1997,2.047509\nUnited Kingdom,GBR,1998,2.3848252\nUnited Kingdom,GBR,1999,2.6130652\nUnited Kingdom,GBR,2000,2.628229\nUnited Kingdom,GBR,2001,2.4794033\nUnited Kingdom,GBR,2002,2.8716042\nUnited Kingdom,GBR,2003,2.684513\nUnited Kingdom,GBR,2004,3.5895612\nUnited Kingdom,GBR,2005,4.2500315\nUnited Kingdom,GBR,2006,4.5560956\nUnited Kingdom,GBR,2007,4.959553\nUnited Kingdom,GBR,2008,5.640683\nUnited Kingdom,GBR,2009,6.699225\nUnited Kingdom,GBR,2010,6.852327\nUnited Kingdom,GBR,2011,9.565997\nUnited Kingdom,GBR,2012,11.333718\nUnited Kingdom,GBR,2013,14.851513\nUnited Kingdom,GBR,2014,19.081284\nUnited Kingdom,GBR,2015,24.599405\nUnited Kingdom,GBR,2016,24.473732\nUnited Kingdom,GBR,2017,29.238365\nUnited Kingdom,GBR,2018,32.99976\nUnited Kingdom,GBR,2019,36.596474\nUnited Kingdom,GBR,2020,43.06478\nUnited Kingdom,GBR,2021,39.7824\nUnited Kingdom,GBR,2022,41.6107\nUnited Kingdom,GBR,2023,46.378147\nUnited Kingdom,GBR,2024,50.647522\n```\n\nAccording to this chart, what was renewables in United Kingdom in 2004?","response":"Reading the plotted point for 2004, renewables in United Kingdom was 3.59 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nUnited Kingdom,GBR,1995,1.9797283\nUnited Kingdom,GBR,1996,1.6216832\nUnited Kingdom,GBR,1997,2.047509\nUnited Kingdom,GBR,1998,2.3848252\nUnited Kingdom,GBR,1999,2.6130652\nUnited Kingdom,GBR,2000,2.628229\nUnited Kingdom,GBR,2001,2.4794033\nUnited Kingdom,GBR,2002,2.8716042\nUnited Kingdom,GBR,2003,2.684513\nUnited Kingdom,GBR,2004,3.5895612\nUnited Kingdom,GBR,2005,4.2500315\nUnited Kingdom,GBR,2006,4.5560956\nUnited Kingdom,GBR,2007,4.959553\nUnited Kingdom,GBR,2008,5.640683\nUnited Kingdom,GBR,2009,6.699225\nUnited Kingdom,GBR,2010,6.852327\nUnited Kingdom,GBR,2011,9.565997\nUnited Kingdom,GBR,2012,11.333718\nUnited Kingdom,GBR,2013,14.851513\nUnited Kingdom,GBR,2014,19.081284\nUnited Kingdom,GBR,2015,24.599405\nUnited Kingdom,GBR,2016,24.473732\nUnited Kingdom,GBR,2017,29.238365\nUnited Kingdom,GBR,2018,32.99976\nUnited Kingdom,GBR,2019,36.596474\nUnited Kingdom,GBR,2020,43.06478\nUnited Kingdom,GBR,2021,39.7824\nUnited Kingdom,GBR,2022,41.6107\nUnited Kingdom,GBR,2023,46.378147\nUnited Kingdom,GBR,2024,50.647522\n```\n\nIn which year shown does renewables reach its highest value for United Kingdom?","response":"The series peaks in 2024, at 50.65 %. The lowest point shown is 1996, at 1.62 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nUnited Kingdom,GBR,1995,1.9797283\nUnited Kingdom,GBR,1996,1.6216832\nUnited Kingdom,GBR,1997,2.047509\nUnited Kingdom,GBR,1998,2.3848252\nUnited Kingdom,GBR,1999,2.6130652\nUnited Kingdom,GBR,2000,2.628229\nUnited Kingdom,GBR,2001,2.4794033\nUnited Kingdom,GBR,2002,2.8716042\nUnited Kingdom,GBR,2003,2.684513\nUnited Kingdom,GBR,2004,3.5895612\nUnited Kingdom,GBR,2005,4.2500315\nUnited Kingdom,GBR,2006,4.5560956\nUnited Kingdom,GBR,2007,4.959553\nUnited Kingdom,GBR,2008,5.640683\nUnited Kingdom,GBR,2009,6.699225\nUnited Kingdom,GBR,2010,6.852327\nUnited Kingdom,GBR,2011,9.565997\nUnited Kingdom,GBR,2012,11.333718\nUnited Kingdom,GBR,2013,14.851513\nUnited Kingdom,GBR,2014,19.081284\nUnited Kingdom,GBR,2015,24.599405\nUnited Kingdom,GBR,2016,24.473732\nUnited Kingdom,GBR,2017,29.238365\nUnited Kingdom,GBR,2018,32.99976\nUnited Kingdom,GBR,2019,36.596474\nUnited Kingdom,GBR,2020,43.06478\nUnited Kingdom,GBR,2021,39.7824\nUnited Kingdom,GBR,2022,41.6107\nUnited Kingdom,GBR,2023,46.378147\nUnited Kingdom,GBR,2024,50.647522\n```\n\nHow much did renewables change for United Kingdom between 1995 and 2024?","response":"It moved from 1.98 % in 1995 to 50.65 % in 2024, a change of 48.67 % (+2458.31%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nUnited Kingdom,GBR,1995,1.9797283\nUnited Kingdom,GBR,1996,1.6216832\nUnited Kingdom,GBR,1997,2.047509\nUnited Kingdom,GBR,1998,2.3848252\nUnited Kingdom,GBR,1999,2.6130652\nUnited Kingdom,GBR,2000,2.628229\nUnited Kingdom,GBR,2001,2.4794033\nUnited Kingdom,GBR,2002,2.8716042\nUnited Kingdom,GBR,2003,2.684513\nUnited Kingdom,GBR,2004,3.5895612\nUnited Kingdom,GBR,2005,4.2500315\nUnited Kingdom,GBR,2006,4.5560956\nUnited Kingdom,GBR,2007,4.959553\nUnited Kingdom,GBR,2008,5.640683\nUnited Kingdom,GBR,2009,6.699225\nUnited Kingdom,GBR,2010,6.852327\nUnited Kingdom,GBR,2011,9.565997\nUnited Kingdom,GBR,2012,11.333718\nUnited Kingdom,GBR,2013,14.851513\nUnited Kingdom,GBR,2014,19.081284\nUnited Kingdom,GBR,2015,24.599405\nUnited Kingdom,GBR,2016,24.473732\nUnited Kingdom,GBR,2017,29.238365\nUnited Kingdom,GBR,2018,32.99976\nUnited Kingdom,GBR,2019,36.596474\nUnited Kingdom,GBR,2020,43.06478\nUnited Kingdom,GBR,2021,39.7824\nUnited Kingdom,GBR,2022,41.6107\nUnited Kingdom,GBR,2023,46.378147\nUnited Kingdom,GBR,2024,50.647522\n```\n\nWas renewables in United Kingdom higher in 2003 or 2012?","response":"Higher in 2012. The chart gives 2.68 % for 2003 and 11.33 % for 2012, a difference of 8.65 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nUnited Kingdom,GBR,1995,1.9797283\nUnited Kingdom,GBR,1996,1.6216832\nUnited Kingdom,GBR,1997,2.047509\nUnited Kingdom,GBR,1998,2.3848252\nUnited Kingdom,GBR,1999,2.6130652\nUnited Kingdom,GBR,2000,2.628229\nUnited Kingdom,GBR,2001,2.4794033\nUnited Kingdom,GBR,2002,2.8716042\nUnited Kingdom,GBR,2003,2.684513\nUnited Kingdom,GBR,2004,3.5895612\nUnited Kingdom,GBR,2005,4.2500315\nUnited Kingdom,GBR,2006,4.5560956\nUnited Kingdom,GBR,2007,4.959553\nUnited Kingdom,GBR,2008,5.640683\nUnited Kingdom,GBR,2009,6.699225\nUnited Kingdom,GBR,2010,6.852327\nUnited Kingdom,GBR,2011,9.565997\nUnited Kingdom,GBR,2012,11.333718\nUnited Kingdom,GBR,2013,14.851513\nUnited Kingdom,GBR,2014,19.081284\nUnited Kingdom,GBR,2015,24.599405\nUnited Kingdom,GBR,2016,24.473732\nUnited Kingdom,GBR,2017,29.238365\nUnited Kingdom,GBR,2018,32.99976\nUnited Kingdom,GBR,2019,36.596474\nUnited Kingdom,GBR,2020,43.06478\nUnited Kingdom,GBR,2021,39.7824\nUnited Kingdom,GBR,2022,41.6107\nUnited Kingdom,GBR,2023,46.378147\nUnited Kingdom,GBR,2024,50.647522\n```\n\nAccording to this chart, what was renewables in United Kingdom in 2004?","response":"Reading the plotted point for 2004, renewables in United Kingdom was 3.59 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nUnited Kingdom,GBR,1995,1.9797283\nUnited Kingdom,GBR,1996,1.6216832\nUnited Kingdom,GBR,1997,2.047509\nUnited Kingdom,GBR,1998,2.3848252\nUnited Kingdom,GBR,1999,2.6130652\nUnited Kingdom,GBR,2000,2.628229\nUnited Kingdom,GBR,2001,2.4794033\nUnited Kingdom,GBR,2002,2.8716042\nUnited Kingdom,GBR,2003,2.684513\nUnited Kingdom,GBR,2004,3.5895612\nUnited Kingdom,GBR,2005,4.2500315\nUnited Kingdom,GBR,2006,4.5560956\nUnited Kingdom,GBR,2007,4.959553\nUnited Kingdom,GBR,2008,5.640683\nUnited Kingdom,GBR,2009,6.699225\nUnited Kingdom,GBR,2010,6.852327\nUnited Kingdom,GBR,2011,9.565997\nUnited Kingdom,GBR,2012,11.333718\nUnited Kingdom,GBR,2013,14.851513\nUnited Kingdom,GBR,2014,19.081284\nUnited Kingdom,GBR,2015,24.599405\nUnited Kingdom,GBR,2016,24.473732\nUnited Kingdom,GBR,2017,29.238365\nUnited Kingdom,GBR,2018,32.99976\nUnited Kingdom,GBR,2019,36.596474\nUnited Kingdom,GBR,2020,43.06478\nUnited Kingdom,GBR,2021,39.7824\nUnited Kingdom,GBR,2022,41.6107\nUnited Kingdom,GBR,2023,46.378147\nUnited Kingdom,GBR,2024,50.647522\n```\n\nIn which year shown does renewables reach its highest value for United Kingdom?","response":"The series peaks in 2024, at 50.65 %. The lowest point shown is 1996, at 1.62 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nUnited Kingdom,GBR,1995,1.9797283\nUnited Kingdom,GBR,1996,1.6216832\nUnited Kingdom,GBR,1997,2.047509\nUnited Kingdom,GBR,1998,2.3848252\nUnited Kingdom,GBR,1999,2.6130652\nUnited Kingdom,GBR,2000,2.628229\nUnited Kingdom,GBR,2001,2.4794033\nUnited Kingdom,GBR,2002,2.8716042\nUnited Kingdom,GBR,2003,2.684513\nUnited Kingdom,GBR,2004,3.5895612\nUnited Kingdom,GBR,2005,4.2500315\nUnited Kingdom,GBR,2006,4.5560956\nUnited Kingdom,GBR,2007,4.959553\nUnited Kingdom,GBR,2008,5.640683\nUnited Kingdom,GBR,2009,6.699225\nUnited Kingdom,GBR,2010,6.852327\nUnited Kingdom,GBR,2011,9.565997\nUnited Kingdom,GBR,2012,11.333718\nUnited Kingdom,GBR,2013,14.851513\nUnited Kingdom,GBR,2014,19.081284\nUnited Kingdom,GBR,2015,24.599405\nUnited Kingdom,GBR,2016,24.473732\nUnited Kingdom,GBR,2017,29.238365\nUnited Kingdom,GBR,2018,32.99976\nUnited Kingdom,GBR,2019,36.596474\nUnited Kingdom,GBR,2020,43.06478\nUnited Kingdom,GBR,2021,39.7824\nUnited Kingdom,GBR,2022,41.6107\nUnited Kingdom,GBR,2023,46.378147\nUnited Kingdom,GBR,2024,50.647522\n```\n\nHow much did renewables change for United Kingdom between 1995 and 2024?","response":"It moved from 1.98 % in 1995 to 50.65 % in 2024, a change of 48.67 % (+2458.31%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nUnited Kingdom,GBR,1995,1.9797283\nUnited Kingdom,GBR,1996,1.6216832\nUnited Kingdom,GBR,1997,2.047509\nUnited Kingdom,GBR,1998,2.3848252\nUnited Kingdom,GBR,1999,2.6130652\nUnited Kingdom,GBR,2000,2.628229\nUnited Kingdom,GBR,2001,2.4794033\nUnited Kingdom,GBR,2002,2.8716042\nUnited Kingdom,GBR,2003,2.684513\nUnited Kingdom,GBR,2004,3.5895612\nUnited Kingdom,GBR,2005,4.2500315\nUnited Kingdom,GBR,2006,4.5560956\nUnited Kingdom,GBR,2007,4.959553\nUnited Kingdom,GBR,2008,5.640683\nUnited Kingdom,GBR,2009,6.699225\nUnited Kingdom,GBR,2010,6.852327\nUnited Kingdom,GBR,2011,9.565997\nUnited Kingdom,GBR,2012,11.333718\nUnited Kingdom,GBR,2013,14.851513\nUnited Kingdom,GBR,2014,19.081284\nUnited Kingdom,GBR,2015,24.599405\nUnited Kingdom,GBR,2016,24.473732\nUnited Kingdom,GBR,2017,29.238365\nUnited Kingdom,GBR,2018,32.99976\nUnited Kingdom,GBR,2019,36.596474\nUnited Kingdom,GBR,2020,43.06478\nUnited Kingdom,GBR,2021,39.7824\nUnited Kingdom,GBR,2022,41.6107\nUnited Kingdom,GBR,2023,46.378147\nUnited Kingdom,GBR,2024,50.647522\n```\n\nWas renewables in United Kingdom higher in 2003 or 2012?","response":"Higher in 2012. The chart gives 2.68 % for 2003 and 11.33 % for 2012, a difference of 8.65 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nUnited Kingdom,GBR,1995,1.9797283\nUnited Kingdom,GBR,1996,1.6216832\nUnited Kingdom,GBR,1997,2.047509\nUnited Kingdom,GBR,1998,2.3848252\nUnited Kingdom,GBR,1999,2.6130652\nUnited Kingdom,GBR,2000,2.628229\nUnited Kingdom,GBR,2001,2.4794033\nUnited Kingdom,GBR,2002,2.8716042\nUnited Kingdom,GBR,2003,2.684513\nUnited Kingdom,GBR,2004,3.5895612\nUnited Kingdom,GBR,2005,4.2500315\nUnited Kingdom,GBR,2006,4.5560956\nUnited Kingdom,GBR,2007,4.959553\nUnited Kingdom,GBR,2008,5.640683\nUnited Kingdom,GBR,2009,6.699225\nUnited Kingdom,GBR,2010,6.852327\nUnited Kingdom,GBR,2011,9.565997\nUnited Kingdom,GBR,2012,11.333718\nUnited Kingdom,GBR,2013,14.851513\nUnited Kingdom,GBR,2014,19.081284\nUnited Kingdom,GBR,2015,24.599405\nUnited Kingdom,GBR,2016,24.473732\nUnited Kingdom,GBR,2017,29.238365\nUnited Kingdom,GBR,2018,32.99976\nUnited Kingdom,GBR,2019,36.596474\nUnited Kingdom,GBR,2020,43.06478\nUnited Kingdom,GBR,2021,39.7824\nUnited Kingdom,GBR,2022,41.6107\nUnited Kingdom,GBR,2023,46.378147\nUnited Kingdom,GBR,2024,50.647522\n```\n\nBased on this chart, is renewables in United Kingdom rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 1.98 % to 50.65 %, a change of +2458.31%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nUnited Kingdom,GBR,1995,1.9797283\nUnited Kingdom,GBR,1996,1.6216832\nUnited Kingdom,GBR,1997,2.047509\nUnited Kingdom,GBR,1998,2.3848252\nUnited Kingdom,GBR,1999,2.6130652\nUnited Kingdom,GBR,2000,2.628229\nUnited Kingdom,GBR,2001,2.4794033\nUnited Kingdom,GBR,2002,2.8716042\nUnited Kingdom,GBR,2003,2.684513\nUnited Kingdom,GBR,2004,3.5895612\nUnited Kingdom,GBR,2005,4.2500315\nUnited Kingdom,GBR,2006,4.5560956\nUnited Kingdom,GBR,2007,4.959553\nUnited Kingdom,GBR,2008,5.640683\nUnited Kingdom,GBR,2009,6.699225\nUnited Kingdom,GBR,2010,6.852327\nUnited Kingdom,GBR,2011,9.565997\nUnited Kingdom,GBR,2012,11.333718\nUnited Kingdom,GBR,2013,14.851513\nUnited Kingdom,GBR,2014,19.081284\nUnited Kingdom,GBR,2015,24.599405\nUnited Kingdom,GBR,2016,24.473732\nUnited Kingdom,GBR,2017,29.238365\nUnited Kingdom,GBR,2018,32.99976\nUnited Kingdom,GBR,2019,36.596474\nUnited Kingdom,GBR,2020,43.06478\nUnited Kingdom,GBR,2021,39.7824\nUnited Kingdom,GBR,2022,41.6107\nUnited Kingdom,GBR,2023,46.378147\nUnited Kingdom,GBR,2024,50.647522\n```\n\nWhat caused the change in renewables for United Kingdom around 2020?","response":"The chart shows that the change happened: renewables moves to 43.06 % in 2020. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__United-Kingdom__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nMalaysia,MYS,1995,13.350653\nMalaysia,MYS,1996,9.7061615\nMalaysia,MYS,1997,6.962513\nMalaysia,MYS,1998,6.9487243\nMalaysia,MYS,1999,11.078236\nMalaysia,MYS,2000,10.815451\nMalaysia,MYS,2001,8.762206\nMalaysia,MYS,2002,7.1843696\nMalaysia,MYS,2003,6.6138525\nMalaysia,MYS,2004,6.402249\nMalaysia,MYS,2005,6.683544\nMalaysia,MYS,2006,6.673719\nMalaysia,MYS,2007,6.1906953\nMalaysia,MYS,2008,7.5639105\nMalaysia,MYS,2009,7.1311684\nMalaysia,MYS,2010,6.09405\nMalaysia,MYS,2011,7.554891\nMalaysia,MYS,2012,8.02506\nMalaysia,MYS,2013,9.250195\nMalaysia,MYS,2014,9.703669\nMalaysia,MYS,2015,9.952701\nMalaysia,MYS,2016,13.463135\nMalaysia,MYS,2017,17.39293\nMalaysia,MYS,2018,16.596317\nMalaysia,MYS,2019,16.134453\nMalaysia,MYS,2020,17.57945\nMalaysia,MYS,2021,19.251183\nMalaysia,MYS,2022,19.47394\nMalaysia,MYS,2023,19.158678\nMalaysia,MYS,2024,20.366444\n```\n\nAccording to this chart, what was renewables in Malaysia in 1998?","response":"Reading the plotted point for 1998, renewables in Malaysia was 6.95 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nMalaysia,MYS,1995,13.350653\nMalaysia,MYS,1996,9.7061615\nMalaysia,MYS,1997,6.962513\nMalaysia,MYS,1998,6.9487243\nMalaysia,MYS,1999,11.078236\nMalaysia,MYS,2000,10.815451\nMalaysia,MYS,2001,8.762206\nMalaysia,MYS,2002,7.1843696\nMalaysia,MYS,2003,6.6138525\nMalaysia,MYS,2004,6.402249\nMalaysia,MYS,2005,6.683544\nMalaysia,MYS,2006,6.673719\nMalaysia,MYS,2007,6.1906953\nMalaysia,MYS,2008,7.5639105\nMalaysia,MYS,2009,7.1311684\nMalaysia,MYS,2010,6.09405\nMalaysia,MYS,2011,7.554891\nMalaysia,MYS,2012,8.02506\nMalaysia,MYS,2013,9.250195\nMalaysia,MYS,2014,9.703669\nMalaysia,MYS,2015,9.952701\nMalaysia,MYS,2016,13.463135\nMalaysia,MYS,2017,17.39293\nMalaysia,MYS,2018,16.596317\nMalaysia,MYS,2019,16.134453\nMalaysia,MYS,2020,17.57945\nMalaysia,MYS,2021,19.251183\nMalaysia,MYS,2022,19.47394\nMalaysia,MYS,2023,19.158678\nMalaysia,MYS,2024,20.366444\n```\n\nIn which year shown does renewables reach its highest value for Malaysia?","response":"The series peaks in 2024, at 20.37 %. The lowest point shown is 2010, at 6.09 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nMalaysia,MYS,1995,13.350653\nMalaysia,MYS,1996,9.7061615\nMalaysia,MYS,1997,6.962513\nMalaysia,MYS,1998,6.9487243\nMalaysia,MYS,1999,11.078236\nMalaysia,MYS,2000,10.815451\nMalaysia,MYS,2001,8.762206\nMalaysia,MYS,2002,7.1843696\nMalaysia,MYS,2003,6.6138525\nMalaysia,MYS,2004,6.402249\nMalaysia,MYS,2005,6.683544\nMalaysia,MYS,2006,6.673719\nMalaysia,MYS,2007,6.1906953\nMalaysia,MYS,2008,7.5639105\nMalaysia,MYS,2009,7.1311684\nMalaysia,MYS,2010,6.09405\nMalaysia,MYS,2011,7.554891\nMalaysia,MYS,2012,8.02506\nMalaysia,MYS,2013,9.250195\nMalaysia,MYS,2014,9.703669\nMalaysia,MYS,2015,9.952701\nMalaysia,MYS,2016,13.463135\nMalaysia,MYS,2017,17.39293\nMalaysia,MYS,2018,16.596317\nMalaysia,MYS,2019,16.134453\nMalaysia,MYS,2020,17.57945\nMalaysia,MYS,2021,19.251183\nMalaysia,MYS,2022,19.47394\nMalaysia,MYS,2023,19.158678\nMalaysia,MYS,2024,20.366444\n```\n\nHow much did renewables change for Malaysia between 1995 and 2024?","response":"It moved from 13.35 % in 1995 to 20.37 % in 2024, a change of 7.02 % (+52.55%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nMalaysia,MYS,1995,13.350653\nMalaysia,MYS,1996,9.7061615\nMalaysia,MYS,1997,6.962513\nMalaysia,MYS,1998,6.9487243\nMalaysia,MYS,1999,11.078236\nMalaysia,MYS,2000,10.815451\nMalaysia,MYS,2001,8.762206\nMalaysia,MYS,2002,7.1843696\nMalaysia,MYS,2003,6.6138525\nMalaysia,MYS,2004,6.402249\nMalaysia,MYS,2005,6.683544\nMalaysia,MYS,2006,6.673719\nMalaysia,MYS,2007,6.1906953\nMalaysia,MYS,2008,7.5639105\nMalaysia,MYS,2009,7.1311684\nMalaysia,MYS,2010,6.09405\nMalaysia,MYS,2011,7.554891\nMalaysia,MYS,2012,8.02506\nMalaysia,MYS,2013,9.250195\nMalaysia,MYS,2014,9.703669\nMalaysia,MYS,2015,9.952701\nMalaysia,MYS,2016,13.463135\nMalaysia,MYS,2017,17.39293\nMalaysia,MYS,2018,16.596317\nMalaysia,MYS,2019,16.134453\nMalaysia,MYS,2020,17.57945\nMalaysia,MYS,2021,19.251183\nMalaysia,MYS,2022,19.47394\nMalaysia,MYS,2023,19.158678\nMalaysia,MYS,2024,20.366444\n```\n\nWas renewables in Malaysia higher in 1998 or 2020?","response":"Higher in 2020. The chart gives 6.95 % for 1998 and 17.58 % for 2020, a difference of 10.63 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nMalaysia,MYS,1995,13.350653\nMalaysia,MYS,1996,9.7061615\nMalaysia,MYS,1997,6.962513\nMalaysia,MYS,1998,6.9487243\nMalaysia,MYS,1999,11.078236\nMalaysia,MYS,2000,10.815451\nMalaysia,MYS,2001,8.762206\nMalaysia,MYS,2002,7.1843696\nMalaysia,MYS,2003,6.6138525\nMalaysia,MYS,2004,6.402249\nMalaysia,MYS,2005,6.683544\nMalaysia,MYS,2006,6.673719\nMalaysia,MYS,2007,6.1906953\nMalaysia,MYS,2008,7.5639105\nMalaysia,MYS,2009,7.1311684\nMalaysia,MYS,2010,6.09405\nMalaysia,MYS,2011,7.554891\nMalaysia,MYS,2012,8.02506\nMalaysia,MYS,2013,9.250195\nMalaysia,MYS,2014,9.703669\nMalaysia,MYS,2015,9.952701\nMalaysia,MYS,2016,13.463135\nMalaysia,MYS,2017,17.39293\nMalaysia,MYS,2018,16.596317\nMalaysia,MYS,2019,16.134453\nMalaysia,MYS,2020,17.57945\nMalaysia,MYS,2021,19.251183\nMalaysia,MYS,2022,19.47394\nMalaysia,MYS,2023,19.158678\nMalaysia,MYS,2024,20.366444\n```\n\nAccording to this chart, what was renewables in Malaysia in 1998?","response":"Reading the plotted point for 1998, renewables in Malaysia was 6.95 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nMalaysia,MYS,1995,13.350653\nMalaysia,MYS,1996,9.7061615\nMalaysia,MYS,1997,6.962513\nMalaysia,MYS,1998,6.9487243\nMalaysia,MYS,1999,11.078236\nMalaysia,MYS,2000,10.815451\nMalaysia,MYS,2001,8.762206\nMalaysia,MYS,2002,7.1843696\nMalaysia,MYS,2003,6.6138525\nMalaysia,MYS,2004,6.402249\nMalaysia,MYS,2005,6.683544\nMalaysia,MYS,2006,6.673719\nMalaysia,MYS,2007,6.1906953\nMalaysia,MYS,2008,7.5639105\nMalaysia,MYS,2009,7.1311684\nMalaysia,MYS,2010,6.09405\nMalaysia,MYS,2011,7.554891\nMalaysia,MYS,2012,8.02506\nMalaysia,MYS,2013,9.250195\nMalaysia,MYS,2014,9.703669\nMalaysia,MYS,2015,9.952701\nMalaysia,MYS,2016,13.463135\nMalaysia,MYS,2017,17.39293\nMalaysia,MYS,2018,16.596317\nMalaysia,MYS,2019,16.134453\nMalaysia,MYS,2020,17.57945\nMalaysia,MYS,2021,19.251183\nMalaysia,MYS,2022,19.47394\nMalaysia,MYS,2023,19.158678\nMalaysia,MYS,2024,20.366444\n```\n\nIn which year shown does renewables reach its highest value for Malaysia?","response":"The series peaks in 2024, at 20.37 %. The lowest point shown is 2010, at 6.09 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nMalaysia,MYS,1995,13.350653\nMalaysia,MYS,1996,9.7061615\nMalaysia,MYS,1997,6.962513\nMalaysia,MYS,1998,6.9487243\nMalaysia,MYS,1999,11.078236\nMalaysia,MYS,2000,10.815451\nMalaysia,MYS,2001,8.762206\nMalaysia,MYS,2002,7.1843696\nMalaysia,MYS,2003,6.6138525\nMalaysia,MYS,2004,6.402249\nMalaysia,MYS,2005,6.683544\nMalaysia,MYS,2006,6.673719\nMalaysia,MYS,2007,6.1906953\nMalaysia,MYS,2008,7.5639105\nMalaysia,MYS,2009,7.1311684\nMalaysia,MYS,2010,6.09405\nMalaysia,MYS,2011,7.554891\nMalaysia,MYS,2012,8.02506\nMalaysia,MYS,2013,9.250195\nMalaysia,MYS,2014,9.703669\nMalaysia,MYS,2015,9.952701\nMalaysia,MYS,2016,13.463135\nMalaysia,MYS,2017,17.39293\nMalaysia,MYS,2018,16.596317\nMalaysia,MYS,2019,16.134453\nMalaysia,MYS,2020,17.57945\nMalaysia,MYS,2021,19.251183\nMalaysia,MYS,2022,19.47394\nMalaysia,MYS,2023,19.158678\nMalaysia,MYS,2024,20.366444\n```\n\nHow much did renewables change for Malaysia between 1995 and 2024?","response":"It moved from 13.35 % in 1995 to 20.37 % in 2024, a change of 7.02 % (+52.55%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nMalaysia,MYS,1995,13.350653\nMalaysia,MYS,1996,9.7061615\nMalaysia,MYS,1997,6.962513\nMalaysia,MYS,1998,6.9487243\nMalaysia,MYS,1999,11.078236\nMalaysia,MYS,2000,10.815451\nMalaysia,MYS,2001,8.762206\nMalaysia,MYS,2002,7.1843696\nMalaysia,MYS,2003,6.6138525\nMalaysia,MYS,2004,6.402249\nMalaysia,MYS,2005,6.683544\nMalaysia,MYS,2006,6.673719\nMalaysia,MYS,2007,6.1906953\nMalaysia,MYS,2008,7.5639105\nMalaysia,MYS,2009,7.1311684\nMalaysia,MYS,2010,6.09405\nMalaysia,MYS,2011,7.554891\nMalaysia,MYS,2012,8.02506\nMalaysia,MYS,2013,9.250195\nMalaysia,MYS,2014,9.703669\nMalaysia,MYS,2015,9.952701\nMalaysia,MYS,2016,13.463135\nMalaysia,MYS,2017,17.39293\nMalaysia,MYS,2018,16.596317\nMalaysia,MYS,2019,16.134453\nMalaysia,MYS,2020,17.57945\nMalaysia,MYS,2021,19.251183\nMalaysia,MYS,2022,19.47394\nMalaysia,MYS,2023,19.158678\nMalaysia,MYS,2024,20.366444\n```\n\nWas renewables in Malaysia higher in 1998 or 2020?","response":"Higher in 2020. The chart gives 6.95 % for 1998 and 17.58 % for 2020, a difference of 10.63 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nMalaysia,MYS,1995,13.350653\nMalaysia,MYS,1996,9.7061615\nMalaysia,MYS,1997,6.962513\nMalaysia,MYS,1998,6.9487243\nMalaysia,MYS,1999,11.078236\nMalaysia,MYS,2000,10.815451\nMalaysia,MYS,2001,8.762206\nMalaysia,MYS,2002,7.1843696\nMalaysia,MYS,2003,6.6138525\nMalaysia,MYS,2004,6.402249\nMalaysia,MYS,2005,6.683544\nMalaysia,MYS,2006,6.673719\nMalaysia,MYS,2007,6.1906953\nMalaysia,MYS,2008,7.5639105\nMalaysia,MYS,2009,7.1311684\nMalaysia,MYS,2010,6.09405\nMalaysia,MYS,2011,7.554891\nMalaysia,MYS,2012,8.02506\nMalaysia,MYS,2013,9.250195\nMalaysia,MYS,2014,9.703669\nMalaysia,MYS,2015,9.952701\nMalaysia,MYS,2016,13.463135\nMalaysia,MYS,2017,17.39293\nMalaysia,MYS,2018,16.596317\nMalaysia,MYS,2019,16.134453\nMalaysia,MYS,2020,17.57945\nMalaysia,MYS,2021,19.251183\nMalaysia,MYS,2022,19.47394\nMalaysia,MYS,2023,19.158678\nMalaysia,MYS,2024,20.366444\n```\n\nBased on this chart, is renewables in Malaysia rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 13.35 % to 20.37 %, a change of +52.55%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nMalaysia,MYS,1995,13.350653\nMalaysia,MYS,1996,9.7061615\nMalaysia,MYS,1997,6.962513\nMalaysia,MYS,1998,6.9487243\nMalaysia,MYS,1999,11.078236\nMalaysia,MYS,2000,10.815451\nMalaysia,MYS,2001,8.762206\nMalaysia,MYS,2002,7.1843696\nMalaysia,MYS,2003,6.6138525\nMalaysia,MYS,2004,6.402249\nMalaysia,MYS,2005,6.683544\nMalaysia,MYS,2006,6.673719\nMalaysia,MYS,2007,6.1906953\nMalaysia,MYS,2008,7.5639105\nMalaysia,MYS,2009,7.1311684\nMalaysia,MYS,2010,6.09405\nMalaysia,MYS,2011,7.554891\nMalaysia,MYS,2012,8.02506\nMalaysia,MYS,2013,9.250195\nMalaysia,MYS,2014,9.703669\nMalaysia,MYS,2015,9.952701\nMalaysia,MYS,2016,13.463135\nMalaysia,MYS,2017,17.39293\nMalaysia,MYS,2018,16.596317\nMalaysia,MYS,2019,16.134453\nMalaysia,MYS,2020,17.57945\nMalaysia,MYS,2021,19.251183\nMalaysia,MYS,2022,19.47394\nMalaysia,MYS,2023,19.158678\nMalaysia,MYS,2024,20.366444\n```\n\nThis chart makes the change in renewables for Malaysia look dramatic. Is it?","response":"The values change by +52.55%, from 13.35 % to 20.37 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nMalaysia,MYS,1999,11.078236\nMalaysia,MYS,2000,10.815451\nMalaysia,MYS,2001,8.762206\nMalaysia,MYS,2002,7.1843696\nMalaysia,MYS,2003,6.6138525\nMalaysia,MYS,2004,6.402249\nMalaysia,MYS,2005,6.683544\nMalaysia,MYS,2006,6.673719\nMalaysia,MYS,2007,6.1906953\n```\n\nWhat does this chart suggest about the long-run direction of renewables in Malaysia?","response":"Within the window shown (1999-2007) the series moves -44.12%, but that window runs against the longer record. Across the full series (1995-2024) the change is +52.55%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nMalaysia,MYS,1995,13.350653\nMalaysia,MYS,1996,9.7061615\nMalaysia,MYS,1997,6.962513\nMalaysia,MYS,1998,6.9487243\nMalaysia,MYS,1999,11.078236\nMalaysia,MYS,2000,10.815451\nMalaysia,MYS,2001,8.762206\nMalaysia,MYS,2002,7.1843696\nMalaysia,MYS,2003,6.6138525\nMalaysia,MYS,2004,6.402249\nMalaysia,MYS,2005,6.683544\nMalaysia,MYS,2006,6.673719\nMalaysia,MYS,2007,6.1906953\nMalaysia,MYS,2008,7.5639105\nMalaysia,MYS,2009,7.1311684\nMalaysia,MYS,2010,6.09405\nMalaysia,MYS,2011,7.554891\nMalaysia,MYS,2012,8.02506\nMalaysia,MYS,2013,9.250195\nMalaysia,MYS,2014,9.703669\nMalaysia,MYS,2015,9.952701\nMalaysia,MYS,2016,13.463135\nMalaysia,MYS,2017,17.39293\nMalaysia,MYS,2018,16.596317\nMalaysia,MYS,2019,16.134453\nMalaysia,MYS,2020,17.57945\nMalaysia,MYS,2021,19.251183\nMalaysia,MYS,2022,19.47394\nMalaysia,MYS,2023,19.158678\nMalaysia,MYS,2024,20.366444\n```\n\nHow does Malaysia compare with Poland on this measure?","response":"This chart covers Malaysia only, so Poland is not plotted and I cannot compare them from it. The chart does support statements about Malaysia on its own: the series runs from 13.35 % in 1995 to 20.37 % in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Malaysia__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nPortugal,PRT,1995,28.501976\nPortugal,PRT,1996,46.14035\nPortugal,PRT,1997,41.988785\nPortugal,PRT,1998,36.51613\nPortugal,PRT,1999,20.168459\nPortugal,PRT,2000,29.784773\nPortugal,PRT,2001,34.172817\nPortugal,PRT,2002,21.361141\nPortugal,PRT,2003,38.154778\nPortugal,PRT,2004,27.551477\nPortugal,PRT,2005,17.930885\nPortugal,PRT,2006,32.47934\nPortugal,PRT,2007,34.703487\nPortugal,PRT,2008,32.28937\nPortugal,PRT,2009,37.039288\nPortugal,PRT,2010,53.01047\nPortugal,PRT,2011,46.56238\nPortugal,PRT,2012,42.627644\nPortugal,PRT,2013,58.53029\nPortugal,PRT,2014,60.945946\nPortugal,PRT,2015,47.63395\nPortugal,PRT,2016,54.699406\nPortugal,PRT,2017,39.208195\nPortugal,PRT,2018,50.402744\nPortugal,PRT,2019,53.120155\nPortugal,PRT,2020,58.591167\nPortugal,PRT,2021,64.07964\nPortugal,PRT,2022,59.594215\nPortugal,PRT,2023,74.46901\nPortugal,PRT,2024,85.19145\n```\n\nAccording to this chart, what was renewables in Portugal in 2013?","response":"Reading the plotted point for 2013, renewables in Portugal was 58.53 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nPortugal,PRT,1995,28.501976\nPortugal,PRT,1996,46.14035\nPortugal,PRT,1997,41.988785\nPortugal,PRT,1998,36.51613\nPortugal,PRT,1999,20.168459\nPortugal,PRT,2000,29.784773\nPortugal,PRT,2001,34.172817\nPortugal,PRT,2002,21.361141\nPortugal,PRT,2003,38.154778\nPortugal,PRT,2004,27.551477\nPortugal,PRT,2005,17.930885\nPortugal,PRT,2006,32.47934\nPortugal,PRT,2007,34.703487\nPortugal,PRT,2008,32.28937\nPortugal,PRT,2009,37.039288\nPortugal,PRT,2010,53.01047\nPortugal,PRT,2011,46.56238\nPortugal,PRT,2012,42.627644\nPortugal,PRT,2013,58.53029\nPortugal,PRT,2014,60.945946\nPortugal,PRT,2015,47.63395\nPortugal,PRT,2016,54.699406\nPortugal,PRT,2017,39.208195\nPortugal,PRT,2018,50.402744\nPortugal,PRT,2019,53.120155\nPortugal,PRT,2020,58.591167\nPortugal,PRT,2021,64.07964\nPortugal,PRT,2022,59.594215\nPortugal,PRT,2023,74.46901\nPortugal,PRT,2024,85.19145\n```\n\nIn which year shown does renewables reach its highest value for Portugal?","response":"The series peaks in 2024, at 85.19 %. The lowest point shown is 2005, at 17.93 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nPortugal,PRT,1995,28.501976\nPortugal,PRT,1996,46.14035\nPortugal,PRT,1997,41.988785\nPortugal,PRT,1998,36.51613\nPortugal,PRT,1999,20.168459\nPortugal,PRT,2000,29.784773\nPortugal,PRT,2001,34.172817\nPortugal,PRT,2002,21.361141\nPortugal,PRT,2003,38.154778\nPortugal,PRT,2004,27.551477\nPortugal,PRT,2005,17.930885\nPortugal,PRT,2006,32.47934\nPortugal,PRT,2007,34.703487\nPortugal,PRT,2008,32.28937\nPortugal,PRT,2009,37.039288\nPortugal,PRT,2010,53.01047\nPortugal,PRT,2011,46.56238\nPortugal,PRT,2012,42.627644\nPortugal,PRT,2013,58.53029\nPortugal,PRT,2014,60.945946\nPortugal,PRT,2015,47.63395\nPortugal,PRT,2016,54.699406\nPortugal,PRT,2017,39.208195\nPortugal,PRT,2018,50.402744\nPortugal,PRT,2019,53.120155\nPortugal,PRT,2020,58.591167\nPortugal,PRT,2021,64.07964\nPortugal,PRT,2022,59.594215\nPortugal,PRT,2023,74.46901\nPortugal,PRT,2024,85.19145\n```\n\nHow much did renewables change for Portugal between 1995 and 2024?","response":"It moved from 28.5 % in 1995 to 85.19 % in 2024, a change of 56.69 % (+198.90%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nPortugal,PRT,1995,28.501976\nPortugal,PRT,1996,46.14035\nPortugal,PRT,1997,41.988785\nPortugal,PRT,1998,36.51613\nPortugal,PRT,1999,20.168459\nPortugal,PRT,2000,29.784773\nPortugal,PRT,2001,34.172817\nPortugal,PRT,2002,21.361141\nPortugal,PRT,2003,38.154778\nPortugal,PRT,2004,27.551477\nPortugal,PRT,2005,17.930885\nPortugal,PRT,2006,32.47934\nPortugal,PRT,2007,34.703487\nPortugal,PRT,2008,32.28937\nPortugal,PRT,2009,37.039288\nPortugal,PRT,2010,53.01047\nPortugal,PRT,2011,46.56238\nPortugal,PRT,2012,42.627644\nPortugal,PRT,2013,58.53029\nPortugal,PRT,2014,60.945946\nPortugal,PRT,2015,47.63395\nPortugal,PRT,2016,54.699406\nPortugal,PRT,2017,39.208195\nPortugal,PRT,2018,50.402744\nPortugal,PRT,2019,53.120155\nPortugal,PRT,2020,58.591167\nPortugal,PRT,2021,64.07964\nPortugal,PRT,2022,59.594215\nPortugal,PRT,2023,74.46901\nPortugal,PRT,2024,85.19145\n```\n\nWas renewables in Portugal higher in 1999 or 2011?","response":"Higher in 2011. The chart gives 20.17 % for 1999 and 46.56 % for 2011, a difference of 26.39 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nPortugal,PRT,1995,28.501976\nPortugal,PRT,1996,46.14035\nPortugal,PRT,1997,41.988785\nPortugal,PRT,1998,36.51613\nPortugal,PRT,1999,20.168459\nPortugal,PRT,2000,29.784773\nPortugal,PRT,2001,34.172817\nPortugal,PRT,2002,21.361141\nPortugal,PRT,2003,38.154778\nPortugal,PRT,2004,27.551477\nPortugal,PRT,2005,17.930885\nPortugal,PRT,2006,32.47934\nPortugal,PRT,2007,34.703487\nPortugal,PRT,2008,32.28937\nPortugal,PRT,2009,37.039288\nPortugal,PRT,2010,53.01047\nPortugal,PRT,2011,46.56238\nPortugal,PRT,2012,42.627644\nPortugal,PRT,2013,58.53029\nPortugal,PRT,2014,60.945946\nPortugal,PRT,2015,47.63395\nPortugal,PRT,2016,54.699406\nPortugal,PRT,2017,39.208195\nPortugal,PRT,2018,50.402744\nPortugal,PRT,2019,53.120155\nPortugal,PRT,2020,58.591167\nPortugal,PRT,2021,64.07964\nPortugal,PRT,2022,59.594215\nPortugal,PRT,2023,74.46901\nPortugal,PRT,2024,85.19145\n```\n\nAccording to this chart, what was renewables in Portugal in 2013?","response":"Reading the plotted point for 2013, renewables in Portugal was 58.53 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nPortugal,PRT,1995,28.501976\nPortugal,PRT,1996,46.14035\nPortugal,PRT,1997,41.988785\nPortugal,PRT,1998,36.51613\nPortugal,PRT,1999,20.168459\nPortugal,PRT,2000,29.784773\nPortugal,PRT,2001,34.172817\nPortugal,PRT,2002,21.361141\nPortugal,PRT,2003,38.154778\nPortugal,PRT,2004,27.551477\nPortugal,PRT,2005,17.930885\nPortugal,PRT,2006,32.47934\nPortugal,PRT,2007,34.703487\nPortugal,PRT,2008,32.28937\nPortugal,PRT,2009,37.039288\nPortugal,PRT,2010,53.01047\nPortugal,PRT,2011,46.56238\nPortugal,PRT,2012,42.627644\nPortugal,PRT,2013,58.53029\nPortugal,PRT,2014,60.945946\nPortugal,PRT,2015,47.63395\nPortugal,PRT,2016,54.699406\nPortugal,PRT,2017,39.208195\nPortugal,PRT,2018,50.402744\nPortugal,PRT,2019,53.120155\nPortugal,PRT,2020,58.591167\nPortugal,PRT,2021,64.07964\nPortugal,PRT,2022,59.594215\nPortugal,PRT,2023,74.46901\nPortugal,PRT,2024,85.19145\n```\n\nIn which year shown does renewables reach its highest value for Portugal?","response":"The series peaks in 2024, at 85.19 %. The lowest point shown is 2005, at 17.93 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nPortugal,PRT,1995,28.501976\nPortugal,PRT,1996,46.14035\nPortugal,PRT,1997,41.988785\nPortugal,PRT,1998,36.51613\nPortugal,PRT,1999,20.168459\nPortugal,PRT,2000,29.784773\nPortugal,PRT,2001,34.172817\nPortugal,PRT,2002,21.361141\nPortugal,PRT,2003,38.154778\nPortugal,PRT,2004,27.551477\nPortugal,PRT,2005,17.930885\nPortugal,PRT,2006,32.47934\nPortugal,PRT,2007,34.703487\nPortugal,PRT,2008,32.28937\nPortugal,PRT,2009,37.039288\nPortugal,PRT,2010,53.01047\nPortugal,PRT,2011,46.56238\nPortugal,PRT,2012,42.627644\nPortugal,PRT,2013,58.53029\nPortugal,PRT,2014,60.945946\nPortugal,PRT,2015,47.63395\nPortugal,PRT,2016,54.699406\nPortugal,PRT,2017,39.208195\nPortugal,PRT,2018,50.402744\nPortugal,PRT,2019,53.120155\nPortugal,PRT,2020,58.591167\nPortugal,PRT,2021,64.07964\nPortugal,PRT,2022,59.594215\nPortugal,PRT,2023,74.46901\nPortugal,PRT,2024,85.19145\n```\n\nHow much did renewables change for Portugal between 1995 and 2024?","response":"It moved from 28.5 % in 1995 to 85.19 % in 2024, a change of 56.69 % (+198.90%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nPortugal,PRT,1995,28.501976\nPortugal,PRT,1996,46.14035\nPortugal,PRT,1997,41.988785\nPortugal,PRT,1998,36.51613\nPortugal,PRT,1999,20.168459\nPortugal,PRT,2000,29.784773\nPortugal,PRT,2001,34.172817\nPortugal,PRT,2002,21.361141\nPortugal,PRT,2003,38.154778\nPortugal,PRT,2004,27.551477\nPortugal,PRT,2005,17.930885\nPortugal,PRT,2006,32.47934\nPortugal,PRT,2007,34.703487\nPortugal,PRT,2008,32.28937\nPortugal,PRT,2009,37.039288\nPortugal,PRT,2010,53.01047\nPortugal,PRT,2011,46.56238\nPortugal,PRT,2012,42.627644\nPortugal,PRT,2013,58.53029\nPortugal,PRT,2014,60.945946\nPortugal,PRT,2015,47.63395\nPortugal,PRT,2016,54.699406\nPortugal,PRT,2017,39.208195\nPortugal,PRT,2018,50.402744\nPortugal,PRT,2019,53.120155\nPortugal,PRT,2020,58.591167\nPortugal,PRT,2021,64.07964\nPortugal,PRT,2022,59.594215\nPortugal,PRT,2023,74.46901\nPortugal,PRT,2024,85.19145\n```\n\nWas renewables in Portugal higher in 1999 or 2011?","response":"Higher in 2011. The chart gives 20.17 % for 1999 and 46.56 % for 2011, a difference of 26.39 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nPortugal,PRT,1995,28.501976\nPortugal,PRT,1996,46.14035\nPortugal,PRT,1997,41.988785\nPortugal,PRT,1998,36.51613\nPortugal,PRT,1999,20.168459\nPortugal,PRT,2000,29.784773\nPortugal,PRT,2001,34.172817\nPortugal,PRT,2002,21.361141\nPortugal,PRT,2003,38.154778\nPortugal,PRT,2004,27.551477\nPortugal,PRT,2005,17.930885\nPortugal,PRT,2006,32.47934\nPortugal,PRT,2007,34.703487\nPortugal,PRT,2008,32.28937\nPortugal,PRT,2009,37.039288\nPortugal,PRT,2010,53.01047\nPortugal,PRT,2011,46.56238\nPortugal,PRT,2012,42.627644\nPortugal,PRT,2013,58.53029\nPortugal,PRT,2014,60.945946\nPortugal,PRT,2015,47.63395\nPortugal,PRT,2016,54.699406\nPortugal,PRT,2017,39.208195\nPortugal,PRT,2018,50.402744\nPortugal,PRT,2019,53.120155\nPortugal,PRT,2020,58.591167\nPortugal,PRT,2021,64.07964\nPortugal,PRT,2022,59.594215\nPortugal,PRT,2023,74.46901\nPortugal,PRT,2024,85.19145\n```\n\nBased on this chart, is renewables in Portugal rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 28.5 % to 85.19 %, a change of +198.90%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nPortugal,PRT,1995,28.501976\nPortugal,PRT,1996,46.14035\nPortugal,PRT,1997,41.988785\nPortugal,PRT,1998,36.51613\nPortugal,PRT,1999,20.168459\nPortugal,PRT,2000,29.784773\nPortugal,PRT,2001,34.172817\nPortugal,PRT,2002,21.361141\nPortugal,PRT,2003,38.154778\nPortugal,PRT,2004,27.551477\nPortugal,PRT,2005,17.930885\nPortugal,PRT,2006,32.47934\nPortugal,PRT,2007,34.703487\nPortugal,PRT,2008,32.28937\nPortugal,PRT,2009,37.039288\nPortugal,PRT,2010,53.01047\nPortugal,PRT,2011,46.56238\nPortugal,PRT,2012,42.627644\nPortugal,PRT,2013,58.53029\nPortugal,PRT,2014,60.945946\nPortugal,PRT,2015,47.63395\nPortugal,PRT,2016,54.699406\nPortugal,PRT,2017,39.208195\nPortugal,PRT,2018,50.402744\nPortugal,PRT,2019,53.120155\nPortugal,PRT,2020,58.591167\nPortugal,PRT,2021,64.07964\nPortugal,PRT,2022,59.594215\nPortugal,PRT,2023,74.46901\nPortugal,PRT,2024,85.19145\n```\n\nThis chart makes the change in renewables for Portugal look dramatic. Is it?","response":"The values change by +198.90%, from 28.5 % to 85.19 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nPortugal,PRT,1996,46.14035\nPortugal,PRT,1997,41.988785\nPortugal,PRT,1998,36.51613\nPortugal,PRT,1999,20.168459\nPortugal,PRT,2000,29.784773\nPortugal,PRT,2001,34.172817\nPortugal,PRT,2002,21.361141\nPortugal,PRT,2003,38.154778\nPortugal,PRT,2004,27.551477\nPortugal,PRT,2005,17.930885\n```\n\nWhat does this chart suggest about the long-run direction of renewables in Portugal?","response":"Within the window shown (1996-2005) the series moves -61.14%, but that window runs against the longer record. Across the full series (1995-2024) the change is +198.90%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nPortugal,PRT,1995,28.501976\nPortugal,PRT,1996,46.14035\nPortugal,PRT,1997,41.988785\nPortugal,PRT,1998,36.51613\nPortugal,PRT,1999,20.168459\nPortugal,PRT,2000,29.784773\nPortugal,PRT,2001,34.172817\nPortugal,PRT,2002,21.361141\nPortugal,PRT,2003,38.154778\nPortugal,PRT,2004,27.551477\nPortugal,PRT,2005,17.930885\nPortugal,PRT,2006,32.47934\nPortugal,PRT,2007,34.703487\nPortugal,PRT,2008,32.28937\nPortugal,PRT,2009,37.039288\nPortugal,PRT,2010,53.01047\nPortugal,PRT,2011,46.56238\nPortugal,PRT,2012,42.627644\nPortugal,PRT,2013,58.53029\nPortugal,PRT,2014,60.945946\nPortugal,PRT,2015,47.63395\nPortugal,PRT,2016,54.699406\nPortugal,PRT,2017,39.208195\nPortugal,PRT,2018,50.402744\nPortugal,PRT,2019,53.120155\nPortugal,PRT,2020,58.591167\nPortugal,PRT,2021,64.07964\nPortugal,PRT,2022,59.594215\nPortugal,PRT,2023,74.46901\nPortugal,PRT,2024,85.19145\n```\n\nHow does Portugal compare with Kenya on this measure?","response":"This chart covers Portugal only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about Portugal on its own: the series runs from 28.5 % in 1995 to 85.19 % in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-electricity-renewables__Portugal__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Share of electricity production from renewables","source_citation":"Ember (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-electricity-renewables?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPortugal,PRT,1990,-0.181\nPortugal,PRT,1991,-0.226\nPortugal,PRT,1992,0.049\nPortugal,PRT,1993,0.192\nPortugal,PRT,1994,0.332\nPortugal,PRT,1995,0.332\nPortugal,PRT,1996,0.382\nPortugal,PRT,1997,0.468\nPortugal,PRT,1998,0.498\nPortugal,PRT,1999,0.588\nPortugal,PRT,2000,0.745\nPortugal,PRT,2001,0.634\nPortugal,PRT,2002,0.497\nPortugal,PRT,2003,0.293\nPortugal,PRT,2004,0.226\nPortugal,PRT,2005,0.186\nPortugal,PRT,2006,0.215\nPortugal,PRT,2007,0.216\nPortugal,PRT,2008,0.111\nPortugal,PRT,2009,0.119\nPortugal,PRT,2010,-0.074\nPortugal,PRT,2011,-0.335\nPortugal,PRT,2012,-0.498\nPortugal,PRT,2013,-0.548\nPortugal,PRT,2014,-0.451\nPortugal,PRT,2015,-0.241\nPortugal,PRT,2016,-0.221\nPortugal,PRT,2017,-0.08\nPortugal,PRT,2018,-0.027\nPortugal,PRT,2019,0.372\nPortugal,PRT,2020,0.156\nPortugal,PRT,2021,0.238\nPortugal,PRT,2022,0.264\nPortugal,PRT,2023,-0.002\nPortugal,PRT,2024,-0.103\n```\n\nAccording to this chart, what was population growth rate in Portugal in 2001?","response":"Reading the plotted point for 2001, population growth rate in Portugal was 0.63 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPortugal,PRT,1990,-0.181\nPortugal,PRT,1991,-0.226\nPortugal,PRT,1992,0.049\nPortugal,PRT,1993,0.192\nPortugal,PRT,1994,0.332\nPortugal,PRT,1995,0.332\nPortugal,PRT,1996,0.382\nPortugal,PRT,1997,0.468\nPortugal,PRT,1998,0.498\nPortugal,PRT,1999,0.588\nPortugal,PRT,2000,0.745\nPortugal,PRT,2001,0.634\nPortugal,PRT,2002,0.497\nPortugal,PRT,2003,0.293\nPortugal,PRT,2004,0.226\nPortugal,PRT,2005,0.186\nPortugal,PRT,2006,0.215\nPortugal,PRT,2007,0.216\nPortugal,PRT,2008,0.111\nPortugal,PRT,2009,0.119\nPortugal,PRT,2010,-0.074\nPortugal,PRT,2011,-0.335\nPortugal,PRT,2012,-0.498\nPortugal,PRT,2013,-0.548\nPortugal,PRT,2014,-0.451\nPortugal,PRT,2015,-0.241\nPortugal,PRT,2016,-0.221\nPortugal,PRT,2017,-0.08\nPortugal,PRT,2018,-0.027\nPortugal,PRT,2019,0.372\nPortugal,PRT,2020,0.156\nPortugal,PRT,2021,0.238\nPortugal,PRT,2022,0.264\nPortugal,PRT,2023,-0.002\nPortugal,PRT,2024,-0.103\n```\n\nIn which year shown does population growth rate reach its highest value for Portugal?","response":"The series peaks in 2000, at 0.74 %. The lowest point shown is 2013, at -0.55 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPortugal,PRT,1990,-0.181\nPortugal,PRT,1991,-0.226\nPortugal,PRT,1992,0.049\nPortugal,PRT,1993,0.192\nPortugal,PRT,1994,0.332\nPortugal,PRT,1995,0.332\nPortugal,PRT,1996,0.382\nPortugal,PRT,1997,0.468\nPortugal,PRT,1998,0.498\nPortugal,PRT,1999,0.588\nPortugal,PRT,2000,0.745\nPortugal,PRT,2001,0.634\nPortugal,PRT,2002,0.497\nPortugal,PRT,2003,0.293\nPortugal,PRT,2004,0.226\nPortugal,PRT,2005,0.186\nPortugal,PRT,2006,0.215\nPortugal,PRT,2007,0.216\nPortugal,PRT,2008,0.111\nPortugal,PRT,2009,0.119\nPortugal,PRT,2010,-0.074\nPortugal,PRT,2011,-0.335\nPortugal,PRT,2012,-0.498\nPortugal,PRT,2013,-0.548\nPortugal,PRT,2014,-0.451\nPortugal,PRT,2015,-0.241\nPortugal,PRT,2016,-0.221\nPortugal,PRT,2017,-0.08\nPortugal,PRT,2018,-0.027\nPortugal,PRT,2019,0.372\nPortugal,PRT,2020,0.156\nPortugal,PRT,2021,0.238\nPortugal,PRT,2022,0.264\nPortugal,PRT,2023,-0.002\nPortugal,PRT,2024,-0.103\n```\n\nHow much did population growth rate change for Portugal between 1990 and 2024?","response":"It moved from -0.18 % in 1990 to -0.1 % in 2024, a change of 0.08 % (+43.09%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPortugal,PRT,1990,-0.181\nPortugal,PRT,1991,-0.226\nPortugal,PRT,1992,0.049\nPortugal,PRT,1993,0.192\nPortugal,PRT,1994,0.332\nPortugal,PRT,1995,0.332\nPortugal,PRT,1996,0.382\nPortugal,PRT,1997,0.468\nPortugal,PRT,1998,0.498\nPortugal,PRT,1999,0.588\nPortugal,PRT,2000,0.745\nPortugal,PRT,2001,0.634\nPortugal,PRT,2002,0.497\nPortugal,PRT,2003,0.293\nPortugal,PRT,2004,0.226\nPortugal,PRT,2005,0.186\nPortugal,PRT,2006,0.215\nPortugal,PRT,2007,0.216\nPortugal,PRT,2008,0.111\nPortugal,PRT,2009,0.119\nPortugal,PRT,2010,-0.074\nPortugal,PRT,2011,-0.335\nPortugal,PRT,2012,-0.498\nPortugal,PRT,2013,-0.548\nPortugal,PRT,2014,-0.451\nPortugal,PRT,2015,-0.241\nPortugal,PRT,2016,-0.221\nPortugal,PRT,2017,-0.08\nPortugal,PRT,2018,-0.027\nPortugal,PRT,2019,0.372\nPortugal,PRT,2020,0.156\nPortugal,PRT,2021,0.238\nPortugal,PRT,2022,0.264\nPortugal,PRT,2023,-0.002\nPortugal,PRT,2024,-0.103\n```\n\nWas population growth rate in Portugal higher in 1990 or 2008?","response":"Higher in 2008. The chart gives -0.18 % for 1990 and 0.11 % for 2008, a difference of 0.29 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPortugal,PRT,1990,-0.181\nPortugal,PRT,1991,-0.226\nPortugal,PRT,1992,0.049\nPortugal,PRT,1993,0.192\nPortugal,PRT,1994,0.332\nPortugal,PRT,1995,0.332\nPortugal,PRT,1996,0.382\nPortugal,PRT,1997,0.468\nPortugal,PRT,1998,0.498\nPortugal,PRT,1999,0.588\nPortugal,PRT,2000,0.745\nPortugal,PRT,2001,0.634\nPortugal,PRT,2002,0.497\nPortugal,PRT,2003,0.293\nPortugal,PRT,2004,0.226\nPortugal,PRT,2005,0.186\nPortugal,PRT,2006,0.215\nPortugal,PRT,2007,0.216\nPortugal,PRT,2008,0.111\nPortugal,PRT,2009,0.119\nPortugal,PRT,2010,-0.074\nPortugal,PRT,2011,-0.335\nPortugal,PRT,2012,-0.498\nPortugal,PRT,2013,-0.548\nPortugal,PRT,2014,-0.451\nPortugal,PRT,2015,-0.241\nPortugal,PRT,2016,-0.221\nPortugal,PRT,2017,-0.08\nPortugal,PRT,2018,-0.027\nPortugal,PRT,2019,0.372\nPortugal,PRT,2020,0.156\nPortugal,PRT,2021,0.238\nPortugal,PRT,2022,0.264\nPortugal,PRT,2023,-0.002\nPortugal,PRT,2024,-0.103\n```\n\nAccording to this chart, what was population growth rate in Portugal in 2001?","response":"Reading the plotted point for 2001, population growth rate in Portugal was 0.63 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPortugal,PRT,1990,-0.181\nPortugal,PRT,1991,-0.226\nPortugal,PRT,1992,0.049\nPortugal,PRT,1993,0.192\nPortugal,PRT,1994,0.332\nPortugal,PRT,1995,0.332\nPortugal,PRT,1996,0.382\nPortugal,PRT,1997,0.468\nPortugal,PRT,1998,0.498\nPortugal,PRT,1999,0.588\nPortugal,PRT,2000,0.745\nPortugal,PRT,2001,0.634\nPortugal,PRT,2002,0.497\nPortugal,PRT,2003,0.293\nPortugal,PRT,2004,0.226\nPortugal,PRT,2005,0.186\nPortugal,PRT,2006,0.215\nPortugal,PRT,2007,0.216\nPortugal,PRT,2008,0.111\nPortugal,PRT,2009,0.119\nPortugal,PRT,2010,-0.074\nPortugal,PRT,2011,-0.335\nPortugal,PRT,2012,-0.498\nPortugal,PRT,2013,-0.548\nPortugal,PRT,2014,-0.451\nPortugal,PRT,2015,-0.241\nPortugal,PRT,2016,-0.221\nPortugal,PRT,2017,-0.08\nPortugal,PRT,2018,-0.027\nPortugal,PRT,2019,0.372\nPortugal,PRT,2020,0.156\nPortugal,PRT,2021,0.238\nPortugal,PRT,2022,0.264\nPortugal,PRT,2023,-0.002\nPortugal,PRT,2024,-0.103\n```\n\nIn which year shown does population growth rate reach its highest value for Portugal?","response":"The series peaks in 2000, at 0.74 %. The lowest point shown is 2013, at -0.55 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPortugal,PRT,1990,-0.181\nPortugal,PRT,1991,-0.226\nPortugal,PRT,1992,0.049\nPortugal,PRT,1993,0.192\nPortugal,PRT,1994,0.332\nPortugal,PRT,1995,0.332\nPortugal,PRT,1996,0.382\nPortugal,PRT,1997,0.468\nPortugal,PRT,1998,0.498\nPortugal,PRT,1999,0.588\nPortugal,PRT,2000,0.745\nPortugal,PRT,2001,0.634\nPortugal,PRT,2002,0.497\nPortugal,PRT,2003,0.293\nPortugal,PRT,2004,0.226\nPortugal,PRT,2005,0.186\nPortugal,PRT,2006,0.215\nPortugal,PRT,2007,0.216\nPortugal,PRT,2008,0.111\nPortugal,PRT,2009,0.119\nPortugal,PRT,2010,-0.074\nPortugal,PRT,2011,-0.335\nPortugal,PRT,2012,-0.498\nPortugal,PRT,2013,-0.548\nPortugal,PRT,2014,-0.451\nPortugal,PRT,2015,-0.241\nPortugal,PRT,2016,-0.221\nPortugal,PRT,2017,-0.08\nPortugal,PRT,2018,-0.027\nPortugal,PRT,2019,0.372\nPortugal,PRT,2020,0.156\nPortugal,PRT,2021,0.238\nPortugal,PRT,2022,0.264\nPortugal,PRT,2023,-0.002\nPortugal,PRT,2024,-0.103\n```\n\nHow much did population growth rate change for Portugal between 1990 and 2024?","response":"It moved from -0.18 % in 1990 to -0.1 % in 2024, a change of 0.08 % (+43.09%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPortugal,PRT,1990,-0.181\nPortugal,PRT,1991,-0.226\nPortugal,PRT,1992,0.049\nPortugal,PRT,1993,0.192\nPortugal,PRT,1994,0.332\nPortugal,PRT,1995,0.332\nPortugal,PRT,1996,0.382\nPortugal,PRT,1997,0.468\nPortugal,PRT,1998,0.498\nPortugal,PRT,1999,0.588\nPortugal,PRT,2000,0.745\nPortugal,PRT,2001,0.634\nPortugal,PRT,2002,0.497\nPortugal,PRT,2003,0.293\nPortugal,PRT,2004,0.226\nPortugal,PRT,2005,0.186\nPortugal,PRT,2006,0.215\nPortugal,PRT,2007,0.216\nPortugal,PRT,2008,0.111\nPortugal,PRT,2009,0.119\nPortugal,PRT,2010,-0.074\nPortugal,PRT,2011,-0.335\nPortugal,PRT,2012,-0.498\nPortugal,PRT,2013,-0.548\nPortugal,PRT,2014,-0.451\nPortugal,PRT,2015,-0.241\nPortugal,PRT,2016,-0.221\nPortugal,PRT,2017,-0.08\nPortugal,PRT,2018,-0.027\nPortugal,PRT,2019,0.372\nPortugal,PRT,2020,0.156\nPortugal,PRT,2021,0.238\nPortugal,PRT,2022,0.264\nPortugal,PRT,2023,-0.002\nPortugal,PRT,2024,-0.103\n```\n\nWas population growth rate in Portugal higher in 1990 or 2008?","response":"Higher in 2008. The chart gives -0.18 % for 1990 and 0.11 % for 2008, a difference of 0.29 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPortugal,PRT,1990,-0.181\nPortugal,PRT,1991,-0.226\nPortugal,PRT,1992,0.049\nPortugal,PRT,1993,0.192\nPortugal,PRT,1994,0.332\nPortugal,PRT,1995,0.332\nPortugal,PRT,1996,0.382\nPortugal,PRT,1997,0.468\nPortugal,PRT,1998,0.498\nPortugal,PRT,1999,0.588\nPortugal,PRT,2000,0.745\nPortugal,PRT,2001,0.634\nPortugal,PRT,2002,0.497\nPortugal,PRT,2003,0.293\nPortugal,PRT,2004,0.226\nPortugal,PRT,2005,0.186\nPortugal,PRT,2006,0.215\nPortugal,PRT,2007,0.216\nPortugal,PRT,2008,0.111\nPortugal,PRT,2009,0.119\nPortugal,PRT,2010,-0.074\nPortugal,PRT,2011,-0.335\nPortugal,PRT,2012,-0.498\nPortugal,PRT,2013,-0.548\nPortugal,PRT,2014,-0.451\nPortugal,PRT,2015,-0.241\nPortugal,PRT,2016,-0.221\nPortugal,PRT,2017,-0.08\nPortugal,PRT,2018,-0.027\nPortugal,PRT,2019,0.372\nPortugal,PRT,2020,0.156\nPortugal,PRT,2021,0.238\nPortugal,PRT,2022,0.264\nPortugal,PRT,2023,-0.002\nPortugal,PRT,2024,-0.103\n```\n\nBased on this chart, is population growth rate in Portugal rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from -0.18 % to -0.1 %, a change of +43.09%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPortugal,PRT,1990,-0.181\nPortugal,PRT,1991,-0.226\nPortugal,PRT,1992,0.049\nPortugal,PRT,1993,0.192\nPortugal,PRT,1994,0.332\nPortugal,PRT,1995,0.332\nPortugal,PRT,1996,0.382\nPortugal,PRT,1997,0.468\nPortugal,PRT,1998,0.498\nPortugal,PRT,1999,0.588\nPortugal,PRT,2000,0.745\nPortugal,PRT,2001,0.634\nPortugal,PRT,2002,0.497\nPortugal,PRT,2003,0.293\nPortugal,PRT,2004,0.226\nPortugal,PRT,2005,0.186\nPortugal,PRT,2006,0.215\nPortugal,PRT,2007,0.216\nPortugal,PRT,2008,0.111\nPortugal,PRT,2009,0.119\nPortugal,PRT,2010,-0.074\nPortugal,PRT,2011,-0.335\nPortugal,PRT,2012,-0.498\nPortugal,PRT,2013,-0.548\nPortugal,PRT,2014,-0.451\nPortugal,PRT,2015,-0.241\nPortugal,PRT,2016,-0.221\nPortugal,PRT,2017,-0.08\nPortugal,PRT,2018,-0.027\nPortugal,PRT,2019,0.372\nPortugal,PRT,2020,0.156\nPortugal,PRT,2021,0.238\nPortugal,PRT,2022,0.264\nPortugal,PRT,2023,-0.002\nPortugal,PRT,2024,-0.103\n```\n\nThis chart makes the change in population growth rate for Portugal look dramatic. Is it?","response":"The values change by +43.09%, from -0.18 % to -0.1 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPortugal,PRT,2010,-0.074\nPortugal,PRT,2011,-0.335\nPortugal,PRT,2012,-0.498\nPortugal,PRT,2013,-0.548\nPortugal,PRT,2014,-0.451\nPortugal,PRT,2015,-0.241\nPortugal,PRT,2016,-0.221\nPortugal,PRT,2017,-0.08\nPortugal,PRT,2018,-0.027\nPortugal,PRT,2019,0.372\nPortugal,PRT,2020,0.156\nPortugal,PRT,2021,0.238\nPortugal,PRT,2022,0.264\nPortugal,PRT,2023,-0.002\nPortugal,PRT,2024,-0.103\n```\n\nWhat does this chart suggest about the long-run direction of population growth rate in Portugal?","response":"Within the window shown (2010-2024) the series moves -39.19%, but that window runs against the longer record. Across the full series (1990-2024) the change is +43.09%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPortugal,PRT,1990,-0.181\nPortugal,PRT,1991,-0.226\nPortugal,PRT,1992,0.049\nPortugal,PRT,1993,0.192\nPortugal,PRT,1994,0.332\nPortugal,PRT,1995,0.332\nPortugal,PRT,1996,0.382\nPortugal,PRT,1997,0.468\nPortugal,PRT,1998,0.498\nPortugal,PRT,1999,0.588\nPortugal,PRT,2000,0.745\nPortugal,PRT,2001,0.634\nPortugal,PRT,2002,0.497\nPortugal,PRT,2003,0.293\nPortugal,PRT,2004,0.226\nPortugal,PRT,2005,0.186\nPortugal,PRT,2006,0.215\nPortugal,PRT,2007,0.216\nPortugal,PRT,2008,0.111\nPortugal,PRT,2009,0.119\nPortugal,PRT,2010,-0.074\nPortugal,PRT,2011,-0.335\nPortugal,PRT,2012,-0.498\nPortugal,PRT,2013,-0.548\nPortugal,PRT,2014,-0.451\nPortugal,PRT,2015,-0.241\nPortugal,PRT,2016,-0.221\nPortugal,PRT,2017,-0.08\nPortugal,PRT,2018,-0.027\nPortugal,PRT,2019,0.372\nPortugal,PRT,2020,0.156\nPortugal,PRT,2021,0.238\nPortugal,PRT,2022,0.264\nPortugal,PRT,2023,-0.002\nPortugal,PRT,2024,-0.103\n```\n\nWhat was population growth rate for Portugal in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at -0.18 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Portugal__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nItaly,ITA,1990,0.105\nItaly,ITA,1991,0.049\nItaly,ITA,1992,0.125\nItaly,ITA,1993,0.035\nItaly,ITA,1994,0.833\nItaly,ITA,1995,-0.892\nItaly,ITA,1996,0.052\nItaly,ITA,1997,0.043\nItaly,ITA,1998,0.047\nItaly,ITA,1999,0.042\nItaly,ITA,2000,0.067\nItaly,ITA,2001,0.05\nItaly,ITA,2002,0.351\nItaly,ITA,2003,0.757\nItaly,ITA,2004,0.752\nItaly,ITA,2005,0.425\nItaly,ITA,2006,0.376\nItaly,ITA,2007,0.825\nItaly,ITA,2008,0.702\nItaly,ITA,2009,0.445\nItaly,ITA,2010,0.422\nItaly,ITA,2011,0.254\nItaly,ITA,2012,0.287\nItaly,ITA,2013,0.117\nItaly,ITA,2014,-0.083\nItaly,ITA,2015,-0.21\nItaly,ITA,2016,-0.111\nItaly,ITA,2017,-0.18\nItaly,ITA,2018,-0.194\nItaly,ITA,2019,-0.295\nItaly,ITA,2020,-0.429\nItaly,ITA,2021,-0.184\nItaly,ITA,2022,-0.186\nItaly,ITA,2023,-0.216\nItaly,ITA,2024,-0.311\n```\n\nAccording to this chart, what was population growth rate in Italy in 1994?","response":"Reading the plotted point for 1994, population growth rate in Italy was 0.83 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nItaly,ITA,1990,0.105\nItaly,ITA,1991,0.049\nItaly,ITA,1992,0.125\nItaly,ITA,1993,0.035\nItaly,ITA,1994,0.833\nItaly,ITA,1995,-0.892\nItaly,ITA,1996,0.052\nItaly,ITA,1997,0.043\nItaly,ITA,1998,0.047\nItaly,ITA,1999,0.042\nItaly,ITA,2000,0.067\nItaly,ITA,2001,0.05\nItaly,ITA,2002,0.351\nItaly,ITA,2003,0.757\nItaly,ITA,2004,0.752\nItaly,ITA,2005,0.425\nItaly,ITA,2006,0.376\nItaly,ITA,2007,0.825\nItaly,ITA,2008,0.702\nItaly,ITA,2009,0.445\nItaly,ITA,2010,0.422\nItaly,ITA,2011,0.254\nItaly,ITA,2012,0.287\nItaly,ITA,2013,0.117\nItaly,ITA,2014,-0.083\nItaly,ITA,2015,-0.21\nItaly,ITA,2016,-0.111\nItaly,ITA,2017,-0.18\nItaly,ITA,2018,-0.194\nItaly,ITA,2019,-0.295\nItaly,ITA,2020,-0.429\nItaly,ITA,2021,-0.184\nItaly,ITA,2022,-0.186\nItaly,ITA,2023,-0.216\nItaly,ITA,2024,-0.311\n```\n\nIn which year shown does population growth rate reach its highest value for Italy?","response":"The series peaks in 1994, at 0.83 %. The lowest point shown is 1995, at -0.89 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nItaly,ITA,1990,0.105\nItaly,ITA,1991,0.049\nItaly,ITA,1992,0.125\nItaly,ITA,1993,0.035\nItaly,ITA,1994,0.833\nItaly,ITA,1995,-0.892\nItaly,ITA,1996,0.052\nItaly,ITA,1997,0.043\nItaly,ITA,1998,0.047\nItaly,ITA,1999,0.042\nItaly,ITA,2000,0.067\nItaly,ITA,2001,0.05\nItaly,ITA,2002,0.351\nItaly,ITA,2003,0.757\nItaly,ITA,2004,0.752\nItaly,ITA,2005,0.425\nItaly,ITA,2006,0.376\nItaly,ITA,2007,0.825\nItaly,ITA,2008,0.702\nItaly,ITA,2009,0.445\nItaly,ITA,2010,0.422\nItaly,ITA,2011,0.254\nItaly,ITA,2012,0.287\nItaly,ITA,2013,0.117\nItaly,ITA,2014,-0.083\nItaly,ITA,2015,-0.21\nItaly,ITA,2016,-0.111\nItaly,ITA,2017,-0.18\nItaly,ITA,2018,-0.194\nItaly,ITA,2019,-0.295\nItaly,ITA,2020,-0.429\nItaly,ITA,2021,-0.184\nItaly,ITA,2022,-0.186\nItaly,ITA,2023,-0.216\nItaly,ITA,2024,-0.311\n```\n\nHow much did population growth rate change for Italy between 1990 and 2024?","response":"It moved from 0.1 % in 1990 to -0.31 % in 2024, a change of -0.42 % (-396.19%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nItaly,ITA,1990,0.105\nItaly,ITA,1991,0.049\nItaly,ITA,1992,0.125\nItaly,ITA,1993,0.035\nItaly,ITA,1994,0.833\nItaly,ITA,1995,-0.892\nItaly,ITA,1996,0.052\nItaly,ITA,1997,0.043\nItaly,ITA,1998,0.047\nItaly,ITA,1999,0.042\nItaly,ITA,2000,0.067\nItaly,ITA,2001,0.05\nItaly,ITA,2002,0.351\nItaly,ITA,2003,0.757\nItaly,ITA,2004,0.752\nItaly,ITA,2005,0.425\nItaly,ITA,2006,0.376\nItaly,ITA,2007,0.825\nItaly,ITA,2008,0.702\nItaly,ITA,2009,0.445\nItaly,ITA,2010,0.422\nItaly,ITA,2011,0.254\nItaly,ITA,2012,0.287\nItaly,ITA,2013,0.117\nItaly,ITA,2014,-0.083\nItaly,ITA,2015,-0.21\nItaly,ITA,2016,-0.111\nItaly,ITA,2017,-0.18\nItaly,ITA,2018,-0.194\nItaly,ITA,2019,-0.295\nItaly,ITA,2020,-0.429\nItaly,ITA,2021,-0.184\nItaly,ITA,2022,-0.186\nItaly,ITA,2023,-0.216\nItaly,ITA,2024,-0.311\n```\n\nWas population growth rate in Italy higher in 1996 or 2015?","response":"Higher in 1996. The chart gives 0.05 % for 1996 and -0.21 % for 2015, a difference of 0.26 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nItaly,ITA,1990,0.105\nItaly,ITA,1991,0.049\nItaly,ITA,1992,0.125\nItaly,ITA,1993,0.035\nItaly,ITA,1994,0.833\nItaly,ITA,1995,-0.892\nItaly,ITA,1996,0.052\nItaly,ITA,1997,0.043\nItaly,ITA,1998,0.047\nItaly,ITA,1999,0.042\nItaly,ITA,2000,0.067\nItaly,ITA,2001,0.05\nItaly,ITA,2002,0.351\nItaly,ITA,2003,0.757\nItaly,ITA,2004,0.752\nItaly,ITA,2005,0.425\nItaly,ITA,2006,0.376\nItaly,ITA,2007,0.825\nItaly,ITA,2008,0.702\nItaly,ITA,2009,0.445\nItaly,ITA,2010,0.422\nItaly,ITA,2011,0.254\nItaly,ITA,2012,0.287\nItaly,ITA,2013,0.117\nItaly,ITA,2014,-0.083\nItaly,ITA,2015,-0.21\nItaly,ITA,2016,-0.111\nItaly,ITA,2017,-0.18\nItaly,ITA,2018,-0.194\nItaly,ITA,2019,-0.295\nItaly,ITA,2020,-0.429\nItaly,ITA,2021,-0.184\nItaly,ITA,2022,-0.186\nItaly,ITA,2023,-0.216\nItaly,ITA,2024,-0.311\n```\n\nAccording to this chart, what was population growth rate in Italy in 1994?","response":"Reading the plotted point for 1994, population growth rate in Italy was 0.83 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nItaly,ITA,1990,0.105\nItaly,ITA,1991,0.049\nItaly,ITA,1992,0.125\nItaly,ITA,1993,0.035\nItaly,ITA,1994,0.833\nItaly,ITA,1995,-0.892\nItaly,ITA,1996,0.052\nItaly,ITA,1997,0.043\nItaly,ITA,1998,0.047\nItaly,ITA,1999,0.042\nItaly,ITA,2000,0.067\nItaly,ITA,2001,0.05\nItaly,ITA,2002,0.351\nItaly,ITA,2003,0.757\nItaly,ITA,2004,0.752\nItaly,ITA,2005,0.425\nItaly,ITA,2006,0.376\nItaly,ITA,2007,0.825\nItaly,ITA,2008,0.702\nItaly,ITA,2009,0.445\nItaly,ITA,2010,0.422\nItaly,ITA,2011,0.254\nItaly,ITA,2012,0.287\nItaly,ITA,2013,0.117\nItaly,ITA,2014,-0.083\nItaly,ITA,2015,-0.21\nItaly,ITA,2016,-0.111\nItaly,ITA,2017,-0.18\nItaly,ITA,2018,-0.194\nItaly,ITA,2019,-0.295\nItaly,ITA,2020,-0.429\nItaly,ITA,2021,-0.184\nItaly,ITA,2022,-0.186\nItaly,ITA,2023,-0.216\nItaly,ITA,2024,-0.311\n```\n\nIn which year shown does population growth rate reach its highest value for Italy?","response":"The series peaks in 1994, at 0.83 %. The lowest point shown is 1995, at -0.89 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nItaly,ITA,1990,0.105\nItaly,ITA,1991,0.049\nItaly,ITA,1992,0.125\nItaly,ITA,1993,0.035\nItaly,ITA,1994,0.833\nItaly,ITA,1995,-0.892\nItaly,ITA,1996,0.052\nItaly,ITA,1997,0.043\nItaly,ITA,1998,0.047\nItaly,ITA,1999,0.042\nItaly,ITA,2000,0.067\nItaly,ITA,2001,0.05\nItaly,ITA,2002,0.351\nItaly,ITA,2003,0.757\nItaly,ITA,2004,0.752\nItaly,ITA,2005,0.425\nItaly,ITA,2006,0.376\nItaly,ITA,2007,0.825\nItaly,ITA,2008,0.702\nItaly,ITA,2009,0.445\nItaly,ITA,2010,0.422\nItaly,ITA,2011,0.254\nItaly,ITA,2012,0.287\nItaly,ITA,2013,0.117\nItaly,ITA,2014,-0.083\nItaly,ITA,2015,-0.21\nItaly,ITA,2016,-0.111\nItaly,ITA,2017,-0.18\nItaly,ITA,2018,-0.194\nItaly,ITA,2019,-0.295\nItaly,ITA,2020,-0.429\nItaly,ITA,2021,-0.184\nItaly,ITA,2022,-0.186\nItaly,ITA,2023,-0.216\nItaly,ITA,2024,-0.311\n```\n\nHow much did population growth rate change for Italy between 1990 and 2024?","response":"It moved from 0.1 % in 1990 to -0.31 % in 2024, a change of -0.42 % (-396.19%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nItaly,ITA,1990,0.105\nItaly,ITA,1991,0.049\nItaly,ITA,1992,0.125\nItaly,ITA,1993,0.035\nItaly,ITA,1994,0.833\nItaly,ITA,1995,-0.892\nItaly,ITA,1996,0.052\nItaly,ITA,1997,0.043\nItaly,ITA,1998,0.047\nItaly,ITA,1999,0.042\nItaly,ITA,2000,0.067\nItaly,ITA,2001,0.05\nItaly,ITA,2002,0.351\nItaly,ITA,2003,0.757\nItaly,ITA,2004,0.752\nItaly,ITA,2005,0.425\nItaly,ITA,2006,0.376\nItaly,ITA,2007,0.825\nItaly,ITA,2008,0.702\nItaly,ITA,2009,0.445\nItaly,ITA,2010,0.422\nItaly,ITA,2011,0.254\nItaly,ITA,2012,0.287\nItaly,ITA,2013,0.117\nItaly,ITA,2014,-0.083\nItaly,ITA,2015,-0.21\nItaly,ITA,2016,-0.111\nItaly,ITA,2017,-0.18\nItaly,ITA,2018,-0.194\nItaly,ITA,2019,-0.295\nItaly,ITA,2020,-0.429\nItaly,ITA,2021,-0.184\nItaly,ITA,2022,-0.186\nItaly,ITA,2023,-0.216\nItaly,ITA,2024,-0.311\n```\n\nWas population growth rate in Italy higher in 1996 or 2015?","response":"Higher in 1996. The chart gives 0.05 % for 1996 and -0.21 % for 2015, a difference of 0.26 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nItaly,ITA,1990,0.105\nItaly,ITA,1991,0.049\nItaly,ITA,1992,0.125\nItaly,ITA,1993,0.035\nItaly,ITA,1994,0.833\nItaly,ITA,1995,-0.892\nItaly,ITA,1996,0.052\nItaly,ITA,1997,0.043\nItaly,ITA,1998,0.047\nItaly,ITA,1999,0.042\nItaly,ITA,2000,0.067\nItaly,ITA,2001,0.05\nItaly,ITA,2002,0.351\nItaly,ITA,2003,0.757\nItaly,ITA,2004,0.752\nItaly,ITA,2005,0.425\nItaly,ITA,2006,0.376\nItaly,ITA,2007,0.825\nItaly,ITA,2008,0.702\nItaly,ITA,2009,0.445\nItaly,ITA,2010,0.422\nItaly,ITA,2011,0.254\nItaly,ITA,2012,0.287\nItaly,ITA,2013,0.117\nItaly,ITA,2014,-0.083\nItaly,ITA,2015,-0.21\nItaly,ITA,2016,-0.111\nItaly,ITA,2017,-0.18\nItaly,ITA,2018,-0.194\nItaly,ITA,2019,-0.295\nItaly,ITA,2020,-0.429\nItaly,ITA,2021,-0.184\nItaly,ITA,2022,-0.186\nItaly,ITA,2023,-0.216\nItaly,ITA,2024,-0.311\n```\n\nBased on this chart, is population growth rate in Italy rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.1 % to -0.31 %, a change of -396.19%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nItaly,ITA,1995,-0.892\nItaly,ITA,1996,0.052\nItaly,ITA,1997,0.043\nItaly,ITA,1998,0.047\nItaly,ITA,1999,0.042\nItaly,ITA,2000,0.067\nItaly,ITA,2001,0.05\nItaly,ITA,2002,0.351\nItaly,ITA,2003,0.757\nItaly,ITA,2004,0.752\n```\n\nWhat does this chart suggest about the long-run direction of population growth rate in Italy?","response":"Within the window shown (1995-2004) the series moves +184.30%, but that window runs against the longer record. Across the full series (1990-2024) the change is -396.19%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nItaly,ITA,1990,0.105\nItaly,ITA,1991,0.049\nItaly,ITA,1992,0.125\nItaly,ITA,1993,0.035\nItaly,ITA,1994,0.833\nItaly,ITA,1995,-0.892\nItaly,ITA,1996,0.052\nItaly,ITA,1997,0.043\nItaly,ITA,1998,0.047\nItaly,ITA,1999,0.042\nItaly,ITA,2000,0.067\nItaly,ITA,2001,0.05\nItaly,ITA,2002,0.351\nItaly,ITA,2003,0.757\nItaly,ITA,2004,0.752\nItaly,ITA,2005,0.425\nItaly,ITA,2006,0.376\nItaly,ITA,2007,0.825\nItaly,ITA,2008,0.702\nItaly,ITA,2009,0.445\nItaly,ITA,2010,0.422\nItaly,ITA,2011,0.254\nItaly,ITA,2012,0.287\nItaly,ITA,2013,0.117\nItaly,ITA,2014,-0.083\nItaly,ITA,2015,-0.21\nItaly,ITA,2016,-0.111\nItaly,ITA,2017,-0.18\nItaly,ITA,2018,-0.194\nItaly,ITA,2019,-0.295\nItaly,ITA,2020,-0.429\nItaly,ITA,2021,-0.184\nItaly,ITA,2022,-0.186\nItaly,ITA,2023,-0.216\nItaly,ITA,2024,-0.311\n```\n\nWhat caused the change in population growth rate for Italy around 1995?","response":"The chart shows that the change happened: population growth rate moves to -0.89 % in 1995. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Italy__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nSouth Africa,ZAF,1990,2.688\nSouth Africa,ZAF,1991,1.891\nSouth Africa,ZAF,1992,1.704\nSouth Africa,ZAF,1993,2.273\nSouth Africa,ZAF,1994,0.977\nSouth Africa,ZAF,1995,1.448\nSouth Africa,ZAF,1996,1.148\nSouth Africa,ZAF,1997,1.248\nSouth Africa,ZAF,1998,1.178\nSouth Africa,ZAF,1999,1.003\nSouth Africa,ZAF,2000,0.827\nSouth Africa,ZAF,2001,0.891\nSouth Africa,ZAF,2002,1.002\nSouth Africa,ZAF,2003,0.991\nSouth Africa,ZAF,2004,1.024\nSouth Africa,ZAF,2005,1.002\nSouth Africa,ZAF,2006,1.042\nSouth Africa,ZAF,2007,1.068\nSouth Africa,ZAF,2008,1.237\nSouth Africa,ZAF,2009,1.152\nSouth Africa,ZAF,2010,1.214\nSouth Africa,ZAF,2011,1.258\nSouth Africa,ZAF,2012,1.688\nSouth Africa,ZAF,2013,1.618\nSouth Africa,ZAF,2014,1.704\nSouth Africa,ZAF,2015,2.309\nSouth Africa,ZAF,2016,-0.415\nSouth Africa,ZAF,2017,1.716\nSouth Africa,ZAF,2018,1.649\nSouth Africa,ZAF,2019,1.65\nSouth Africa,ZAF,2020,1.595\nSouth Africa,ZAF,2021,1.487\nSouth Africa,ZAF,2022,1.342\nSouth Africa,ZAF,2023,1.315\nSouth Africa,ZAF,2024,1.185\n```\n\nAccording to this chart, what was population growth rate in South Africa in 2019?","response":"Reading the plotted point for 2019, population growth rate in South Africa was 1.65 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nSouth Africa,ZAF,1990,2.688\nSouth Africa,ZAF,1991,1.891\nSouth Africa,ZAF,1992,1.704\nSouth Africa,ZAF,1993,2.273\nSouth Africa,ZAF,1994,0.977\nSouth Africa,ZAF,1995,1.448\nSouth Africa,ZAF,1996,1.148\nSouth Africa,ZAF,1997,1.248\nSouth Africa,ZAF,1998,1.178\nSouth Africa,ZAF,1999,1.003\nSouth Africa,ZAF,2000,0.827\nSouth Africa,ZAF,2001,0.891\nSouth Africa,ZAF,2002,1.002\nSouth Africa,ZAF,2003,0.991\nSouth Africa,ZAF,2004,1.024\nSouth Africa,ZAF,2005,1.002\nSouth Africa,ZAF,2006,1.042\nSouth Africa,ZAF,2007,1.068\nSouth Africa,ZAF,2008,1.237\nSouth Africa,ZAF,2009,1.152\nSouth Africa,ZAF,2010,1.214\nSouth Africa,ZAF,2011,1.258\nSouth Africa,ZAF,2012,1.688\nSouth Africa,ZAF,2013,1.618\nSouth Africa,ZAF,2014,1.704\nSouth Africa,ZAF,2015,2.309\nSouth Africa,ZAF,2016,-0.415\nSouth Africa,ZAF,2017,1.716\nSouth Africa,ZAF,2018,1.649\nSouth Africa,ZAF,2019,1.65\nSouth Africa,ZAF,2020,1.595\nSouth Africa,ZAF,2021,1.487\nSouth Africa,ZAF,2022,1.342\nSouth Africa,ZAF,2023,1.315\nSouth Africa,ZAF,2024,1.185\n```\n\nIn which year shown does population growth rate reach its highest value for South Africa?","response":"The series peaks in 1990, at 2.69 %. The lowest point shown is 2016, at -0.41 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nSouth Africa,ZAF,1990,2.688\nSouth Africa,ZAF,1991,1.891\nSouth Africa,ZAF,1992,1.704\nSouth Africa,ZAF,1993,2.273\nSouth Africa,ZAF,1994,0.977\nSouth Africa,ZAF,1995,1.448\nSouth Africa,ZAF,1996,1.148\nSouth Africa,ZAF,1997,1.248\nSouth Africa,ZAF,1998,1.178\nSouth Africa,ZAF,1999,1.003\nSouth Africa,ZAF,2000,0.827\nSouth Africa,ZAF,2001,0.891\nSouth Africa,ZAF,2002,1.002\nSouth Africa,ZAF,2003,0.991\nSouth Africa,ZAF,2004,1.024\nSouth Africa,ZAF,2005,1.002\nSouth Africa,ZAF,2006,1.042\nSouth Africa,ZAF,2007,1.068\nSouth Africa,ZAF,2008,1.237\nSouth Africa,ZAF,2009,1.152\nSouth Africa,ZAF,2010,1.214\nSouth Africa,ZAF,2011,1.258\nSouth Africa,ZAF,2012,1.688\nSouth Africa,ZAF,2013,1.618\nSouth Africa,ZAF,2014,1.704\nSouth Africa,ZAF,2015,2.309\nSouth Africa,ZAF,2016,-0.415\nSouth Africa,ZAF,2017,1.716\nSouth Africa,ZAF,2018,1.649\nSouth Africa,ZAF,2019,1.65\nSouth Africa,ZAF,2020,1.595\nSouth Africa,ZAF,2021,1.487\nSouth Africa,ZAF,2022,1.342\nSouth Africa,ZAF,2023,1.315\nSouth Africa,ZAF,2024,1.185\n```\n\nHow much did population growth rate change for South Africa between 1990 and 2024?","response":"It moved from 2.69 % in 1990 to 1.19 % in 2024, a change of -1.5 % (-55.92%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nSouth Africa,ZAF,1990,2.688\nSouth Africa,ZAF,1991,1.891\nSouth Africa,ZAF,1992,1.704\nSouth Africa,ZAF,1993,2.273\nSouth Africa,ZAF,1994,0.977\nSouth Africa,ZAF,1995,1.448\nSouth Africa,ZAF,1996,1.148\nSouth Africa,ZAF,1997,1.248\nSouth Africa,ZAF,1998,1.178\nSouth Africa,ZAF,1999,1.003\nSouth Africa,ZAF,2000,0.827\nSouth Africa,ZAF,2001,0.891\nSouth Africa,ZAF,2002,1.002\nSouth Africa,ZAF,2003,0.991\nSouth Africa,ZAF,2004,1.024\nSouth Africa,ZAF,2005,1.002\nSouth Africa,ZAF,2006,1.042\nSouth Africa,ZAF,2007,1.068\nSouth Africa,ZAF,2008,1.237\nSouth Africa,ZAF,2009,1.152\nSouth Africa,ZAF,2010,1.214\nSouth Africa,ZAF,2011,1.258\nSouth Africa,ZAF,2012,1.688\nSouth Africa,ZAF,2013,1.618\nSouth Africa,ZAF,2014,1.704\nSouth Africa,ZAF,2015,2.309\nSouth Africa,ZAF,2016,-0.415\nSouth Africa,ZAF,2017,1.716\nSouth Africa,ZAF,2018,1.649\nSouth Africa,ZAF,2019,1.65\nSouth Africa,ZAF,2020,1.595\nSouth Africa,ZAF,2021,1.487\nSouth Africa,ZAF,2022,1.342\nSouth Africa,ZAF,2023,1.315\nSouth Africa,ZAF,2024,1.185\n```\n\nWas population growth rate in South Africa higher in 1992 or 2007?","response":"Higher in 1992. The chart gives 1.7 % for 1992 and 1.07 % for 2007, a difference of 0.64 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nSouth Africa,ZAF,1990,2.688\nSouth Africa,ZAF,1991,1.891\nSouth Africa,ZAF,1992,1.704\nSouth Africa,ZAF,1993,2.273\nSouth Africa,ZAF,1994,0.977\nSouth Africa,ZAF,1995,1.448\nSouth Africa,ZAF,1996,1.148\nSouth Africa,ZAF,1997,1.248\nSouth Africa,ZAF,1998,1.178\nSouth Africa,ZAF,1999,1.003\nSouth Africa,ZAF,2000,0.827\nSouth Africa,ZAF,2001,0.891\nSouth Africa,ZAF,2002,1.002\nSouth Africa,ZAF,2003,0.991\nSouth Africa,ZAF,2004,1.024\nSouth Africa,ZAF,2005,1.002\nSouth Africa,ZAF,2006,1.042\nSouth Africa,ZAF,2007,1.068\nSouth Africa,ZAF,2008,1.237\nSouth Africa,ZAF,2009,1.152\nSouth Africa,ZAF,2010,1.214\nSouth Africa,ZAF,2011,1.258\nSouth Africa,ZAF,2012,1.688\nSouth Africa,ZAF,2013,1.618\nSouth Africa,ZAF,2014,1.704\nSouth Africa,ZAF,2015,2.309\nSouth Africa,ZAF,2016,-0.415\nSouth Africa,ZAF,2017,1.716\nSouth Africa,ZAF,2018,1.649\nSouth Africa,ZAF,2019,1.65\nSouth Africa,ZAF,2020,1.595\nSouth Africa,ZAF,2021,1.487\nSouth Africa,ZAF,2022,1.342\nSouth Africa,ZAF,2023,1.315\nSouth Africa,ZAF,2024,1.185\n```\n\nAccording to this chart, what was population growth rate in South Africa in 2019?","response":"Reading the plotted point for 2019, population growth rate in South Africa was 1.65 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nSouth Africa,ZAF,1990,2.688\nSouth Africa,ZAF,1991,1.891\nSouth Africa,ZAF,1992,1.704\nSouth Africa,ZAF,1993,2.273\nSouth Africa,ZAF,1994,0.977\nSouth Africa,ZAF,1995,1.448\nSouth Africa,ZAF,1996,1.148\nSouth Africa,ZAF,1997,1.248\nSouth Africa,ZAF,1998,1.178\nSouth Africa,ZAF,1999,1.003\nSouth Africa,ZAF,2000,0.827\nSouth Africa,ZAF,2001,0.891\nSouth Africa,ZAF,2002,1.002\nSouth Africa,ZAF,2003,0.991\nSouth Africa,ZAF,2004,1.024\nSouth Africa,ZAF,2005,1.002\nSouth Africa,ZAF,2006,1.042\nSouth Africa,ZAF,2007,1.068\nSouth Africa,ZAF,2008,1.237\nSouth Africa,ZAF,2009,1.152\nSouth Africa,ZAF,2010,1.214\nSouth Africa,ZAF,2011,1.258\nSouth Africa,ZAF,2012,1.688\nSouth Africa,ZAF,2013,1.618\nSouth Africa,ZAF,2014,1.704\nSouth Africa,ZAF,2015,2.309\nSouth Africa,ZAF,2016,-0.415\nSouth Africa,ZAF,2017,1.716\nSouth Africa,ZAF,2018,1.649\nSouth Africa,ZAF,2019,1.65\nSouth Africa,ZAF,2020,1.595\nSouth Africa,ZAF,2021,1.487\nSouth Africa,ZAF,2022,1.342\nSouth Africa,ZAF,2023,1.315\nSouth Africa,ZAF,2024,1.185\n```\n\nIn which year shown does population growth rate reach its highest value for South Africa?","response":"The series peaks in 1990, at 2.69 %. The lowest point shown is 2016, at -0.41 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nSouth Africa,ZAF,1990,2.688\nSouth Africa,ZAF,1991,1.891\nSouth Africa,ZAF,1992,1.704\nSouth Africa,ZAF,1993,2.273\nSouth Africa,ZAF,1994,0.977\nSouth Africa,ZAF,1995,1.448\nSouth Africa,ZAF,1996,1.148\nSouth Africa,ZAF,1997,1.248\nSouth Africa,ZAF,1998,1.178\nSouth Africa,ZAF,1999,1.003\nSouth Africa,ZAF,2000,0.827\nSouth Africa,ZAF,2001,0.891\nSouth Africa,ZAF,2002,1.002\nSouth Africa,ZAF,2003,0.991\nSouth Africa,ZAF,2004,1.024\nSouth Africa,ZAF,2005,1.002\nSouth Africa,ZAF,2006,1.042\nSouth Africa,ZAF,2007,1.068\nSouth Africa,ZAF,2008,1.237\nSouth Africa,ZAF,2009,1.152\nSouth Africa,ZAF,2010,1.214\nSouth Africa,ZAF,2011,1.258\nSouth Africa,ZAF,2012,1.688\nSouth Africa,ZAF,2013,1.618\nSouth Africa,ZAF,2014,1.704\nSouth Africa,ZAF,2015,2.309\nSouth Africa,ZAF,2016,-0.415\nSouth Africa,ZAF,2017,1.716\nSouth Africa,ZAF,2018,1.649\nSouth Africa,ZAF,2019,1.65\nSouth Africa,ZAF,2020,1.595\nSouth Africa,ZAF,2021,1.487\nSouth Africa,ZAF,2022,1.342\nSouth Africa,ZAF,2023,1.315\nSouth Africa,ZAF,2024,1.185\n```\n\nHow much did population growth rate change for South Africa between 1990 and 2024?","response":"It moved from 2.69 % in 1990 to 1.19 % in 2024, a change of -1.5 % (-55.92%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nSouth Africa,ZAF,1990,2.688\nSouth Africa,ZAF,1991,1.891\nSouth Africa,ZAF,1992,1.704\nSouth Africa,ZAF,1993,2.273\nSouth Africa,ZAF,1994,0.977\nSouth Africa,ZAF,1995,1.448\nSouth Africa,ZAF,1996,1.148\nSouth Africa,ZAF,1997,1.248\nSouth Africa,ZAF,1998,1.178\nSouth Africa,ZAF,1999,1.003\nSouth Africa,ZAF,2000,0.827\nSouth Africa,ZAF,2001,0.891\nSouth Africa,ZAF,2002,1.002\nSouth Africa,ZAF,2003,0.991\nSouth Africa,ZAF,2004,1.024\nSouth Africa,ZAF,2005,1.002\nSouth Africa,ZAF,2006,1.042\nSouth Africa,ZAF,2007,1.068\nSouth Africa,ZAF,2008,1.237\nSouth Africa,ZAF,2009,1.152\nSouth Africa,ZAF,2010,1.214\nSouth Africa,ZAF,2011,1.258\nSouth Africa,ZAF,2012,1.688\nSouth Africa,ZAF,2013,1.618\nSouth Africa,ZAF,2014,1.704\nSouth Africa,ZAF,2015,2.309\nSouth Africa,ZAF,2016,-0.415\nSouth Africa,ZAF,2017,1.716\nSouth Africa,ZAF,2018,1.649\nSouth Africa,ZAF,2019,1.65\nSouth Africa,ZAF,2020,1.595\nSouth Africa,ZAF,2021,1.487\nSouth Africa,ZAF,2022,1.342\nSouth Africa,ZAF,2023,1.315\nSouth Africa,ZAF,2024,1.185\n```\n\nWas population growth rate in South Africa higher in 1992 or 2007?","response":"Higher in 1992. The chart gives 1.7 % for 1992 and 1.07 % for 2007, a difference of 0.64 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nSouth Africa,ZAF,1990,2.688\nSouth Africa,ZAF,1991,1.891\nSouth Africa,ZAF,1992,1.704\nSouth Africa,ZAF,1993,2.273\nSouth Africa,ZAF,1994,0.977\nSouth Africa,ZAF,1995,1.448\nSouth Africa,ZAF,1996,1.148\nSouth Africa,ZAF,1997,1.248\nSouth Africa,ZAF,1998,1.178\nSouth Africa,ZAF,1999,1.003\nSouth Africa,ZAF,2000,0.827\nSouth Africa,ZAF,2001,0.891\nSouth Africa,ZAF,2002,1.002\nSouth Africa,ZAF,2003,0.991\nSouth Africa,ZAF,2004,1.024\nSouth Africa,ZAF,2005,1.002\nSouth Africa,ZAF,2006,1.042\nSouth Africa,ZAF,2007,1.068\nSouth Africa,ZAF,2008,1.237\nSouth Africa,ZAF,2009,1.152\nSouth Africa,ZAF,2010,1.214\nSouth Africa,ZAF,2011,1.258\nSouth Africa,ZAF,2012,1.688\nSouth Africa,ZAF,2013,1.618\nSouth Africa,ZAF,2014,1.704\nSouth Africa,ZAF,2015,2.309\nSouth Africa,ZAF,2016,-0.415\nSouth Africa,ZAF,2017,1.716\nSouth Africa,ZAF,2018,1.649\nSouth Africa,ZAF,2019,1.65\nSouth Africa,ZAF,2020,1.595\nSouth Africa,ZAF,2021,1.487\nSouth Africa,ZAF,2022,1.342\nSouth Africa,ZAF,2023,1.315\nSouth Africa,ZAF,2024,1.185\n```\n\nBased on this chart, is population growth rate in South Africa rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2.69 % to 1.19 %, a change of -55.92%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nSouth Africa,ZAF,1990,2.688\nSouth Africa,ZAF,1991,1.891\nSouth Africa,ZAF,1992,1.704\nSouth Africa,ZAF,1993,2.273\nSouth Africa,ZAF,1994,0.977\nSouth Africa,ZAF,1995,1.448\nSouth Africa,ZAF,1996,1.148\nSouth Africa,ZAF,1997,1.248\nSouth Africa,ZAF,1998,1.178\nSouth Africa,ZAF,1999,1.003\nSouth Africa,ZAF,2000,0.827\nSouth Africa,ZAF,2001,0.891\nSouth Africa,ZAF,2002,1.002\nSouth Africa,ZAF,2003,0.991\nSouth Africa,ZAF,2004,1.024\nSouth Africa,ZAF,2005,1.002\nSouth Africa,ZAF,2006,1.042\nSouth Africa,ZAF,2007,1.068\nSouth Africa,ZAF,2008,1.237\nSouth Africa,ZAF,2009,1.152\nSouth Africa,ZAF,2010,1.214\nSouth Africa,ZAF,2011,1.258\nSouth Africa,ZAF,2012,1.688\nSouth Africa,ZAF,2013,1.618\nSouth Africa,ZAF,2014,1.704\nSouth Africa,ZAF,2015,2.309\nSouth Africa,ZAF,2016,-0.415\nSouth Africa,ZAF,2017,1.716\nSouth Africa,ZAF,2018,1.649\nSouth Africa,ZAF,2019,1.65\nSouth Africa,ZAF,2020,1.595\nSouth Africa,ZAF,2021,1.487\nSouth Africa,ZAF,2022,1.342\nSouth Africa,ZAF,2023,1.315\nSouth Africa,ZAF,2024,1.185\n```\n\nThis chart makes the change in population growth rate for South Africa look dramatic. Is it?","response":"The values change by -55.92%, from 2.69 % to 1.19 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nSouth Africa,ZAF,2007,1.068\nSouth Africa,ZAF,2008,1.237\nSouth Africa,ZAF,2009,1.152\nSouth Africa,ZAF,2010,1.214\nSouth Africa,ZAF,2011,1.258\nSouth Africa,ZAF,2012,1.688\nSouth Africa,ZAF,2013,1.618\nSouth Africa,ZAF,2014,1.704\nSouth Africa,ZAF,2015,2.309\n```\n\nWhat does this chart suggest about the long-run direction of population growth rate in South Africa?","response":"Within the window shown (2007-2015) the series moves +116.20%, but that window runs against the longer record. Across the full series (1990-2024) the change is -55.92%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nSouth Africa,ZAF,1990,2.688\nSouth Africa,ZAF,1991,1.891\nSouth Africa,ZAF,1992,1.704\nSouth Africa,ZAF,1993,2.273\nSouth Africa,ZAF,1994,0.977\nSouth Africa,ZAF,1995,1.448\nSouth Africa,ZAF,1996,1.148\nSouth Africa,ZAF,1997,1.248\nSouth Africa,ZAF,1998,1.178\nSouth Africa,ZAF,1999,1.003\nSouth Africa,ZAF,2000,0.827\nSouth Africa,ZAF,2001,0.891\nSouth Africa,ZAF,2002,1.002\nSouth Africa,ZAF,2003,0.991\nSouth Africa,ZAF,2004,1.024\nSouth Africa,ZAF,2005,1.002\nSouth Africa,ZAF,2006,1.042\nSouth Africa,ZAF,2007,1.068\nSouth Africa,ZAF,2008,1.237\nSouth Africa,ZAF,2009,1.152\nSouth Africa,ZAF,2010,1.214\nSouth Africa,ZAF,2011,1.258\nSouth Africa,ZAF,2012,1.688\nSouth Africa,ZAF,2013,1.618\nSouth Africa,ZAF,2014,1.704\nSouth Africa,ZAF,2015,2.309\nSouth Africa,ZAF,2016,-0.415\nSouth Africa,ZAF,2017,1.716\nSouth Africa,ZAF,2018,1.649\nSouth Africa,ZAF,2019,1.65\nSouth Africa,ZAF,2020,1.595\nSouth Africa,ZAF,2021,1.487\nSouth Africa,ZAF,2022,1.342\nSouth Africa,ZAF,2023,1.315\nSouth Africa,ZAF,2024,1.185\n```\n\nHow does South Africa compare with Kenya on this measure?","response":"This chart covers South Africa only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about South Africa on its own: the series runs from 2.69 % in 1990 to 1.19 % in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__South-Africa__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nArgentina,ARG,1990,1.473\nArgentina,ARG,1991,1.404\nArgentina,ARG,1992,1.365\nArgentina,ARG,1993,1.342\nArgentina,ARG,1994,1.338\nArgentina,ARG,1995,1.283\nArgentina,ARG,1996,1.233\nArgentina,ARG,1997,1.197\nArgentina,ARG,1998,1.154\nArgentina,ARG,1999,1.152\nArgentina,ARG,2000,1.115\nArgentina,ARG,2001,1.081\nArgentina,ARG,2002,1.058\nArgentina,ARG,2003,1.009\nArgentina,ARG,2004,1.019\nArgentina,ARG,2005,1.036\nArgentina,ARG,2006,1.021\nArgentina,ARG,2007,0.962\nArgentina,ARG,2008,1.064\nArgentina,ARG,2009,1.056\nArgentina,ARG,2010,1.057\nArgentina,ARG,2011,1.073\nArgentina,ARG,2012,0.983\nArgentina,ARG,2013,1.003\nArgentina,ARG,2014,1.06\nArgentina,ARG,2015,1.034\nArgentina,ARG,2016,0.904\nArgentina,ARG,2017,0.858\nArgentina,ARG,2018,0.788\nArgentina,ARG,2019,0.635\nArgentina,ARG,2020,0.336\nArgentina,ARG,2021,0.196\nArgentina,ARG,2022,0.225\nArgentina,ARG,2023,0.349\nArgentina,ARG,2024,0.343\n```\n\nAccording to this chart, what was population growth rate in Argentina in 2018?","response":"Reading the plotted point for 2018, population growth rate in Argentina was 0.79 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nArgentina,ARG,1990,1.473\nArgentina,ARG,1991,1.404\nArgentina,ARG,1992,1.365\nArgentina,ARG,1993,1.342\nArgentina,ARG,1994,1.338\nArgentina,ARG,1995,1.283\nArgentina,ARG,1996,1.233\nArgentina,ARG,1997,1.197\nArgentina,ARG,1998,1.154\nArgentina,ARG,1999,1.152\nArgentina,ARG,2000,1.115\nArgentina,ARG,2001,1.081\nArgentina,ARG,2002,1.058\nArgentina,ARG,2003,1.009\nArgentina,ARG,2004,1.019\nArgentina,ARG,2005,1.036\nArgentina,ARG,2006,1.021\nArgentina,ARG,2007,0.962\nArgentina,ARG,2008,1.064\nArgentina,ARG,2009,1.056\nArgentina,ARG,2010,1.057\nArgentina,ARG,2011,1.073\nArgentina,ARG,2012,0.983\nArgentina,ARG,2013,1.003\nArgentina,ARG,2014,1.06\nArgentina,ARG,2015,1.034\nArgentina,ARG,2016,0.904\nArgentina,ARG,2017,0.858\nArgentina,ARG,2018,0.788\nArgentina,ARG,2019,0.635\nArgentina,ARG,2020,0.336\nArgentina,ARG,2021,0.196\nArgentina,ARG,2022,0.225\nArgentina,ARG,2023,0.349\nArgentina,ARG,2024,0.343\n```\n\nIn which year shown does population growth rate reach its highest value for Argentina?","response":"The series peaks in 1990, at 1.47 %. The lowest point shown is 2021, at 0.2 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nArgentina,ARG,1990,1.473\nArgentina,ARG,1991,1.404\nArgentina,ARG,1992,1.365\nArgentina,ARG,1993,1.342\nArgentina,ARG,1994,1.338\nArgentina,ARG,1995,1.283\nArgentina,ARG,1996,1.233\nArgentina,ARG,1997,1.197\nArgentina,ARG,1998,1.154\nArgentina,ARG,1999,1.152\nArgentina,ARG,2000,1.115\nArgentina,ARG,2001,1.081\nArgentina,ARG,2002,1.058\nArgentina,ARG,2003,1.009\nArgentina,ARG,2004,1.019\nArgentina,ARG,2005,1.036\nArgentina,ARG,2006,1.021\nArgentina,ARG,2007,0.962\nArgentina,ARG,2008,1.064\nArgentina,ARG,2009,1.056\nArgentina,ARG,2010,1.057\nArgentina,ARG,2011,1.073\nArgentina,ARG,2012,0.983\nArgentina,ARG,2013,1.003\nArgentina,ARG,2014,1.06\nArgentina,ARG,2015,1.034\nArgentina,ARG,2016,0.904\nArgentina,ARG,2017,0.858\nArgentina,ARG,2018,0.788\nArgentina,ARG,2019,0.635\nArgentina,ARG,2020,0.336\nArgentina,ARG,2021,0.196\nArgentina,ARG,2022,0.225\nArgentina,ARG,2023,0.349\nArgentina,ARG,2024,0.343\n```\n\nHow much did population growth rate change for Argentina between 1990 and 2024?","response":"It moved from 1.47 % in 1990 to 0.34 % in 2024, a change of -1.13 % (-76.71%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nArgentina,ARG,1990,1.473\nArgentina,ARG,1991,1.404\nArgentina,ARG,1992,1.365\nArgentina,ARG,1993,1.342\nArgentina,ARG,1994,1.338\nArgentina,ARG,1995,1.283\nArgentina,ARG,1996,1.233\nArgentina,ARG,1997,1.197\nArgentina,ARG,1998,1.154\nArgentina,ARG,1999,1.152\nArgentina,ARG,2000,1.115\nArgentina,ARG,2001,1.081\nArgentina,ARG,2002,1.058\nArgentina,ARG,2003,1.009\nArgentina,ARG,2004,1.019\nArgentina,ARG,2005,1.036\nArgentina,ARG,2006,1.021\nArgentina,ARG,2007,0.962\nArgentina,ARG,2008,1.064\nArgentina,ARG,2009,1.056\nArgentina,ARG,2010,1.057\nArgentina,ARG,2011,1.073\nArgentina,ARG,2012,0.983\nArgentina,ARG,2013,1.003\nArgentina,ARG,2014,1.06\nArgentina,ARG,2015,1.034\nArgentina,ARG,2016,0.904\nArgentina,ARG,2017,0.858\nArgentina,ARG,2018,0.788\nArgentina,ARG,2019,0.635\nArgentina,ARG,2020,0.336\nArgentina,ARG,2021,0.196\nArgentina,ARG,2022,0.225\nArgentina,ARG,2023,0.349\nArgentina,ARG,2024,0.343\n```\n\nWas population growth rate in Argentina higher in 1994 or 2009?","response":"Higher in 1994. The chart gives 1.34 % for 1994 and 1.06 % for 2009, a difference of 0.28 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nArgentina,ARG,1990,1.473\nArgentina,ARG,1991,1.404\nArgentina,ARG,1992,1.365\nArgentina,ARG,1993,1.342\nArgentina,ARG,1994,1.338\nArgentina,ARG,1995,1.283\nArgentina,ARG,1996,1.233\nArgentina,ARG,1997,1.197\nArgentina,ARG,1998,1.154\nArgentina,ARG,1999,1.152\nArgentina,ARG,2000,1.115\nArgentina,ARG,2001,1.081\nArgentina,ARG,2002,1.058\nArgentina,ARG,2003,1.009\nArgentina,ARG,2004,1.019\nArgentina,ARG,2005,1.036\nArgentina,ARG,2006,1.021\nArgentina,ARG,2007,0.962\nArgentina,ARG,2008,1.064\nArgentina,ARG,2009,1.056\nArgentina,ARG,2010,1.057\nArgentina,ARG,2011,1.073\nArgentina,ARG,2012,0.983\nArgentina,ARG,2013,1.003\nArgentina,ARG,2014,1.06\nArgentina,ARG,2015,1.034\nArgentina,ARG,2016,0.904\nArgentina,ARG,2017,0.858\nArgentina,ARG,2018,0.788\nArgentina,ARG,2019,0.635\nArgentina,ARG,2020,0.336\nArgentina,ARG,2021,0.196\nArgentina,ARG,2022,0.225\nArgentina,ARG,2023,0.349\nArgentina,ARG,2024,0.343\n```\n\nAccording to this chart, what was population growth rate in Argentina in 2018?","response":"Reading the plotted point for 2018, population growth rate in Argentina was 0.79 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nArgentina,ARG,1990,1.473\nArgentina,ARG,1991,1.404\nArgentina,ARG,1992,1.365\nArgentina,ARG,1993,1.342\nArgentina,ARG,1994,1.338\nArgentina,ARG,1995,1.283\nArgentina,ARG,1996,1.233\nArgentina,ARG,1997,1.197\nArgentina,ARG,1998,1.154\nArgentina,ARG,1999,1.152\nArgentina,ARG,2000,1.115\nArgentina,ARG,2001,1.081\nArgentina,ARG,2002,1.058\nArgentina,ARG,2003,1.009\nArgentina,ARG,2004,1.019\nArgentina,ARG,2005,1.036\nArgentina,ARG,2006,1.021\nArgentina,ARG,2007,0.962\nArgentina,ARG,2008,1.064\nArgentina,ARG,2009,1.056\nArgentina,ARG,2010,1.057\nArgentina,ARG,2011,1.073\nArgentina,ARG,2012,0.983\nArgentina,ARG,2013,1.003\nArgentina,ARG,2014,1.06\nArgentina,ARG,2015,1.034\nArgentina,ARG,2016,0.904\nArgentina,ARG,2017,0.858\nArgentina,ARG,2018,0.788\nArgentina,ARG,2019,0.635\nArgentina,ARG,2020,0.336\nArgentina,ARG,2021,0.196\nArgentina,ARG,2022,0.225\nArgentina,ARG,2023,0.349\nArgentina,ARG,2024,0.343\n```\n\nIn which year shown does population growth rate reach its highest value for Argentina?","response":"The series peaks in 1990, at 1.47 %. The lowest point shown is 2021, at 0.2 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nArgentina,ARG,1990,1.473\nArgentina,ARG,1991,1.404\nArgentina,ARG,1992,1.365\nArgentina,ARG,1993,1.342\nArgentina,ARG,1994,1.338\nArgentina,ARG,1995,1.283\nArgentina,ARG,1996,1.233\nArgentina,ARG,1997,1.197\nArgentina,ARG,1998,1.154\nArgentina,ARG,1999,1.152\nArgentina,ARG,2000,1.115\nArgentina,ARG,2001,1.081\nArgentina,ARG,2002,1.058\nArgentina,ARG,2003,1.009\nArgentina,ARG,2004,1.019\nArgentina,ARG,2005,1.036\nArgentina,ARG,2006,1.021\nArgentina,ARG,2007,0.962\nArgentina,ARG,2008,1.064\nArgentina,ARG,2009,1.056\nArgentina,ARG,2010,1.057\nArgentina,ARG,2011,1.073\nArgentina,ARG,2012,0.983\nArgentina,ARG,2013,1.003\nArgentina,ARG,2014,1.06\nArgentina,ARG,2015,1.034\nArgentina,ARG,2016,0.904\nArgentina,ARG,2017,0.858\nArgentina,ARG,2018,0.788\nArgentina,ARG,2019,0.635\nArgentina,ARG,2020,0.336\nArgentina,ARG,2021,0.196\nArgentina,ARG,2022,0.225\nArgentina,ARG,2023,0.349\nArgentina,ARG,2024,0.343\n```\n\nHow much did population growth rate change for Argentina between 1990 and 2024?","response":"It moved from 1.47 % in 1990 to 0.34 % in 2024, a change of -1.13 % (-76.71%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nArgentina,ARG,1990,1.473\nArgentina,ARG,1991,1.404\nArgentina,ARG,1992,1.365\nArgentina,ARG,1993,1.342\nArgentina,ARG,1994,1.338\nArgentina,ARG,1995,1.283\nArgentina,ARG,1996,1.233\nArgentina,ARG,1997,1.197\nArgentina,ARG,1998,1.154\nArgentina,ARG,1999,1.152\nArgentina,ARG,2000,1.115\nArgentina,ARG,2001,1.081\nArgentina,ARG,2002,1.058\nArgentina,ARG,2003,1.009\nArgentina,ARG,2004,1.019\nArgentina,ARG,2005,1.036\nArgentina,ARG,2006,1.021\nArgentina,ARG,2007,0.962\nArgentina,ARG,2008,1.064\nArgentina,ARG,2009,1.056\nArgentina,ARG,2010,1.057\nArgentina,ARG,2011,1.073\nArgentina,ARG,2012,0.983\nArgentina,ARG,2013,1.003\nArgentina,ARG,2014,1.06\nArgentina,ARG,2015,1.034\nArgentina,ARG,2016,0.904\nArgentina,ARG,2017,0.858\nArgentina,ARG,2018,0.788\nArgentina,ARG,2019,0.635\nArgentina,ARG,2020,0.336\nArgentina,ARG,2021,0.196\nArgentina,ARG,2022,0.225\nArgentina,ARG,2023,0.349\nArgentina,ARG,2024,0.343\n```\n\nWas population growth rate in Argentina higher in 1994 or 2009?","response":"Higher in 1994. The chart gives 1.34 % for 1994 and 1.06 % for 2009, a difference of 0.28 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nArgentina,ARG,1990,1.473\nArgentina,ARG,1991,1.404\nArgentina,ARG,1992,1.365\nArgentina,ARG,1993,1.342\nArgentina,ARG,1994,1.338\nArgentina,ARG,1995,1.283\nArgentina,ARG,1996,1.233\nArgentina,ARG,1997,1.197\nArgentina,ARG,1998,1.154\nArgentina,ARG,1999,1.152\nArgentina,ARG,2000,1.115\nArgentina,ARG,2001,1.081\nArgentina,ARG,2002,1.058\nArgentina,ARG,2003,1.009\nArgentina,ARG,2004,1.019\nArgentina,ARG,2005,1.036\nArgentina,ARG,2006,1.021\nArgentina,ARG,2007,0.962\nArgentina,ARG,2008,1.064\nArgentina,ARG,2009,1.056\nArgentina,ARG,2010,1.057\nArgentina,ARG,2011,1.073\nArgentina,ARG,2012,0.983\nArgentina,ARG,2013,1.003\nArgentina,ARG,2014,1.06\nArgentina,ARG,2015,1.034\nArgentina,ARG,2016,0.904\nArgentina,ARG,2017,0.858\nArgentina,ARG,2018,0.788\nArgentina,ARG,2019,0.635\nArgentina,ARG,2020,0.336\nArgentina,ARG,2021,0.196\nArgentina,ARG,2022,0.225\nArgentina,ARG,2023,0.349\nArgentina,ARG,2024,0.343\n```\n\nBased on this chart, is population growth rate in Argentina rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 1.47 % to 0.34 %, a change of -76.71%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nArgentina,ARG,2003,1.009\nArgentina,ARG,2004,1.019\nArgentina,ARG,2005,1.036\nArgentina,ARG,2006,1.021\nArgentina,ARG,2007,0.962\nArgentina,ARG,2008,1.064\nArgentina,ARG,2009,1.056\nArgentina,ARG,2010,1.057\nArgentina,ARG,2011,1.073\n```\n\nWhat does this chart suggest about the long-run direction of population growth rate in Argentina?","response":"Within the window shown (2003-2011) the series moves +6.34%, but that window runs against the longer record. Across the full series (1990-2024) the change is -76.71%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nArgentina,ARG,1990,1.473\nArgentina,ARG,1991,1.404\nArgentina,ARG,1992,1.365\nArgentina,ARG,1993,1.342\nArgentina,ARG,1994,1.338\nArgentina,ARG,1995,1.283\nArgentina,ARG,1996,1.233\nArgentina,ARG,1997,1.197\nArgentina,ARG,1998,1.154\nArgentina,ARG,1999,1.152\nArgentina,ARG,2000,1.115\nArgentina,ARG,2001,1.081\nArgentina,ARG,2002,1.058\nArgentina,ARG,2003,1.009\nArgentina,ARG,2004,1.019\nArgentina,ARG,2005,1.036\nArgentina,ARG,2006,1.021\nArgentina,ARG,2007,0.962\nArgentina,ARG,2008,1.064\nArgentina,ARG,2009,1.056\nArgentina,ARG,2010,1.057\nArgentina,ARG,2011,1.073\nArgentina,ARG,2012,0.983\nArgentina,ARG,2013,1.003\nArgentina,ARG,2014,1.06\nArgentina,ARG,2015,1.034\nArgentina,ARG,2016,0.904\nArgentina,ARG,2017,0.858\nArgentina,ARG,2018,0.788\nArgentina,ARG,2019,0.635\nArgentina,ARG,2020,0.336\nArgentina,ARG,2021,0.196\nArgentina,ARG,2022,0.225\nArgentina,ARG,2023,0.349\nArgentina,ARG,2024,0.343\n```\n\nWhat was population growth rate for Argentina in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 1.47 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Argentina__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPhilippines,PHL,1990,2.683\nPhilippines,PHL,1991,2.126\nPhilippines,PHL,1992,2.607\nPhilippines,PHL,1993,2.207\nPhilippines,PHL,1994,2.155\nPhilippines,PHL,1995,2.221\nPhilippines,PHL,1996,2.385\nPhilippines,PHL,1997,2.322\nPhilippines,PHL,1998,2.703\nPhilippines,PHL,1999,2.413\nPhilippines,PHL,2000,2.347\nPhilippines,PHL,2001,2.068\nPhilippines,PHL,2002,1.988\nPhilippines,PHL,2003,1.977\nPhilippines,PHL,2004,1.911\nPhilippines,PHL,2005,1.809\nPhilippines,PHL,2006,1.557\nPhilippines,PHL,2007,1.909\nPhilippines,PHL,2008,1.628\nPhilippines,PHL,2009,1.972\nPhilippines,PHL,2010,2.122\nPhilippines,PHL,2011,1.81\nPhilippines,PHL,2012,2.072\nPhilippines,PHL,2013,1.691\nPhilippines,PHL,2014,1.595\nPhilippines,PHL,2015,1.364\nPhilippines,PHL,2016,1.32\nPhilippines,PHL,2017,1.257\nPhilippines,PHL,2018,1.217\nPhilippines,PHL,2019,1.215\nPhilippines,PHL,2020,1.077\nPhilippines,PHL,2021,0.736\nPhilippines,PHL,2022,0.784\nPhilippines,PHL,2023,0.835\nPhilippines,PHL,2024,0.816\n```\n\nAccording to this chart, what was population growth rate in Philippines in 2020?","response":"Reading the plotted point for 2020, population growth rate in Philippines was 1.08 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPhilippines,PHL,1990,2.683\nPhilippines,PHL,1991,2.126\nPhilippines,PHL,1992,2.607\nPhilippines,PHL,1993,2.207\nPhilippines,PHL,1994,2.155\nPhilippines,PHL,1995,2.221\nPhilippines,PHL,1996,2.385\nPhilippines,PHL,1997,2.322\nPhilippines,PHL,1998,2.703\nPhilippines,PHL,1999,2.413\nPhilippines,PHL,2000,2.347\nPhilippines,PHL,2001,2.068\nPhilippines,PHL,2002,1.988\nPhilippines,PHL,2003,1.977\nPhilippines,PHL,2004,1.911\nPhilippines,PHL,2005,1.809\nPhilippines,PHL,2006,1.557\nPhilippines,PHL,2007,1.909\nPhilippines,PHL,2008,1.628\nPhilippines,PHL,2009,1.972\nPhilippines,PHL,2010,2.122\nPhilippines,PHL,2011,1.81\nPhilippines,PHL,2012,2.072\nPhilippines,PHL,2013,1.691\nPhilippines,PHL,2014,1.595\nPhilippines,PHL,2015,1.364\nPhilippines,PHL,2016,1.32\nPhilippines,PHL,2017,1.257\nPhilippines,PHL,2018,1.217\nPhilippines,PHL,2019,1.215\nPhilippines,PHL,2020,1.077\nPhilippines,PHL,2021,0.736\nPhilippines,PHL,2022,0.784\nPhilippines,PHL,2023,0.835\nPhilippines,PHL,2024,0.816\n```\n\nIn which year shown does population growth rate reach its highest value for Philippines?","response":"The series peaks in 1998, at 2.7 %. The lowest point shown is 2021, at 0.74 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPhilippines,PHL,1990,2.683\nPhilippines,PHL,1991,2.126\nPhilippines,PHL,1992,2.607\nPhilippines,PHL,1993,2.207\nPhilippines,PHL,1994,2.155\nPhilippines,PHL,1995,2.221\nPhilippines,PHL,1996,2.385\nPhilippines,PHL,1997,2.322\nPhilippines,PHL,1998,2.703\nPhilippines,PHL,1999,2.413\nPhilippines,PHL,2000,2.347\nPhilippines,PHL,2001,2.068\nPhilippines,PHL,2002,1.988\nPhilippines,PHL,2003,1.977\nPhilippines,PHL,2004,1.911\nPhilippines,PHL,2005,1.809\nPhilippines,PHL,2006,1.557\nPhilippines,PHL,2007,1.909\nPhilippines,PHL,2008,1.628\nPhilippines,PHL,2009,1.972\nPhilippines,PHL,2010,2.122\nPhilippines,PHL,2011,1.81\nPhilippines,PHL,2012,2.072\nPhilippines,PHL,2013,1.691\nPhilippines,PHL,2014,1.595\nPhilippines,PHL,2015,1.364\nPhilippines,PHL,2016,1.32\nPhilippines,PHL,2017,1.257\nPhilippines,PHL,2018,1.217\nPhilippines,PHL,2019,1.215\nPhilippines,PHL,2020,1.077\nPhilippines,PHL,2021,0.736\nPhilippines,PHL,2022,0.784\nPhilippines,PHL,2023,0.835\nPhilippines,PHL,2024,0.816\n```\n\nHow much did population growth rate change for Philippines between 1990 and 2024?","response":"It moved from 2.68 % in 1990 to 0.82 % in 2024, a change of -1.87 % (-69.59%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPhilippines,PHL,1990,2.683\nPhilippines,PHL,1991,2.126\nPhilippines,PHL,1992,2.607\nPhilippines,PHL,1993,2.207\nPhilippines,PHL,1994,2.155\nPhilippines,PHL,1995,2.221\nPhilippines,PHL,1996,2.385\nPhilippines,PHL,1997,2.322\nPhilippines,PHL,1998,2.703\nPhilippines,PHL,1999,2.413\nPhilippines,PHL,2000,2.347\nPhilippines,PHL,2001,2.068\nPhilippines,PHL,2002,1.988\nPhilippines,PHL,2003,1.977\nPhilippines,PHL,2004,1.911\nPhilippines,PHL,2005,1.809\nPhilippines,PHL,2006,1.557\nPhilippines,PHL,2007,1.909\nPhilippines,PHL,2008,1.628\nPhilippines,PHL,2009,1.972\nPhilippines,PHL,2010,2.122\nPhilippines,PHL,2011,1.81\nPhilippines,PHL,2012,2.072\nPhilippines,PHL,2013,1.691\nPhilippines,PHL,2014,1.595\nPhilippines,PHL,2015,1.364\nPhilippines,PHL,2016,1.32\nPhilippines,PHL,2017,1.257\nPhilippines,PHL,2018,1.217\nPhilippines,PHL,2019,1.215\nPhilippines,PHL,2020,1.077\nPhilippines,PHL,2021,0.736\nPhilippines,PHL,2022,0.784\nPhilippines,PHL,2023,0.835\nPhilippines,PHL,2024,0.816\n```\n\nWas population growth rate in Philippines higher in 1990 or 2009?","response":"Higher in 1990. The chart gives 2.68 % for 1990 and 1.97 % for 2009, a difference of 0.71 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPhilippines,PHL,1990,2.683\nPhilippines,PHL,1991,2.126\nPhilippines,PHL,1992,2.607\nPhilippines,PHL,1993,2.207\nPhilippines,PHL,1994,2.155\nPhilippines,PHL,1995,2.221\nPhilippines,PHL,1996,2.385\nPhilippines,PHL,1997,2.322\nPhilippines,PHL,1998,2.703\nPhilippines,PHL,1999,2.413\nPhilippines,PHL,2000,2.347\nPhilippines,PHL,2001,2.068\nPhilippines,PHL,2002,1.988\nPhilippines,PHL,2003,1.977\nPhilippines,PHL,2004,1.911\nPhilippines,PHL,2005,1.809\nPhilippines,PHL,2006,1.557\nPhilippines,PHL,2007,1.909\nPhilippines,PHL,2008,1.628\nPhilippines,PHL,2009,1.972\nPhilippines,PHL,2010,2.122\nPhilippines,PHL,2011,1.81\nPhilippines,PHL,2012,2.072\nPhilippines,PHL,2013,1.691\nPhilippines,PHL,2014,1.595\nPhilippines,PHL,2015,1.364\nPhilippines,PHL,2016,1.32\nPhilippines,PHL,2017,1.257\nPhilippines,PHL,2018,1.217\nPhilippines,PHL,2019,1.215\nPhilippines,PHL,2020,1.077\nPhilippines,PHL,2021,0.736\nPhilippines,PHL,2022,0.784\nPhilippines,PHL,2023,0.835\nPhilippines,PHL,2024,0.816\n```\n\nAccording to this chart, what was population growth rate in Philippines in 2020?","response":"Reading the plotted point for 2020, population growth rate in Philippines was 1.08 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPhilippines,PHL,1990,2.683\nPhilippines,PHL,1991,2.126\nPhilippines,PHL,1992,2.607\nPhilippines,PHL,1993,2.207\nPhilippines,PHL,1994,2.155\nPhilippines,PHL,1995,2.221\nPhilippines,PHL,1996,2.385\nPhilippines,PHL,1997,2.322\nPhilippines,PHL,1998,2.703\nPhilippines,PHL,1999,2.413\nPhilippines,PHL,2000,2.347\nPhilippines,PHL,2001,2.068\nPhilippines,PHL,2002,1.988\nPhilippines,PHL,2003,1.977\nPhilippines,PHL,2004,1.911\nPhilippines,PHL,2005,1.809\nPhilippines,PHL,2006,1.557\nPhilippines,PHL,2007,1.909\nPhilippines,PHL,2008,1.628\nPhilippines,PHL,2009,1.972\nPhilippines,PHL,2010,2.122\nPhilippines,PHL,2011,1.81\nPhilippines,PHL,2012,2.072\nPhilippines,PHL,2013,1.691\nPhilippines,PHL,2014,1.595\nPhilippines,PHL,2015,1.364\nPhilippines,PHL,2016,1.32\nPhilippines,PHL,2017,1.257\nPhilippines,PHL,2018,1.217\nPhilippines,PHL,2019,1.215\nPhilippines,PHL,2020,1.077\nPhilippines,PHL,2021,0.736\nPhilippines,PHL,2022,0.784\nPhilippines,PHL,2023,0.835\nPhilippines,PHL,2024,0.816\n```\n\nIn which year shown does population growth rate reach its highest value for Philippines?","response":"The series peaks in 1998, at 2.7 %. The lowest point shown is 2021, at 0.74 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPhilippines,PHL,1990,2.683\nPhilippines,PHL,1991,2.126\nPhilippines,PHL,1992,2.607\nPhilippines,PHL,1993,2.207\nPhilippines,PHL,1994,2.155\nPhilippines,PHL,1995,2.221\nPhilippines,PHL,1996,2.385\nPhilippines,PHL,1997,2.322\nPhilippines,PHL,1998,2.703\nPhilippines,PHL,1999,2.413\nPhilippines,PHL,2000,2.347\nPhilippines,PHL,2001,2.068\nPhilippines,PHL,2002,1.988\nPhilippines,PHL,2003,1.977\nPhilippines,PHL,2004,1.911\nPhilippines,PHL,2005,1.809\nPhilippines,PHL,2006,1.557\nPhilippines,PHL,2007,1.909\nPhilippines,PHL,2008,1.628\nPhilippines,PHL,2009,1.972\nPhilippines,PHL,2010,2.122\nPhilippines,PHL,2011,1.81\nPhilippines,PHL,2012,2.072\nPhilippines,PHL,2013,1.691\nPhilippines,PHL,2014,1.595\nPhilippines,PHL,2015,1.364\nPhilippines,PHL,2016,1.32\nPhilippines,PHL,2017,1.257\nPhilippines,PHL,2018,1.217\nPhilippines,PHL,2019,1.215\nPhilippines,PHL,2020,1.077\nPhilippines,PHL,2021,0.736\nPhilippines,PHL,2022,0.784\nPhilippines,PHL,2023,0.835\nPhilippines,PHL,2024,0.816\n```\n\nHow much did population growth rate change for Philippines between 1990 and 2024?","response":"It moved from 2.68 % in 1990 to 0.82 % in 2024, a change of -1.87 % (-69.59%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPhilippines,PHL,1990,2.683\nPhilippines,PHL,1991,2.126\nPhilippines,PHL,1992,2.607\nPhilippines,PHL,1993,2.207\nPhilippines,PHL,1994,2.155\nPhilippines,PHL,1995,2.221\nPhilippines,PHL,1996,2.385\nPhilippines,PHL,1997,2.322\nPhilippines,PHL,1998,2.703\nPhilippines,PHL,1999,2.413\nPhilippines,PHL,2000,2.347\nPhilippines,PHL,2001,2.068\nPhilippines,PHL,2002,1.988\nPhilippines,PHL,2003,1.977\nPhilippines,PHL,2004,1.911\nPhilippines,PHL,2005,1.809\nPhilippines,PHL,2006,1.557\nPhilippines,PHL,2007,1.909\nPhilippines,PHL,2008,1.628\nPhilippines,PHL,2009,1.972\nPhilippines,PHL,2010,2.122\nPhilippines,PHL,2011,1.81\nPhilippines,PHL,2012,2.072\nPhilippines,PHL,2013,1.691\nPhilippines,PHL,2014,1.595\nPhilippines,PHL,2015,1.364\nPhilippines,PHL,2016,1.32\nPhilippines,PHL,2017,1.257\nPhilippines,PHL,2018,1.217\nPhilippines,PHL,2019,1.215\nPhilippines,PHL,2020,1.077\nPhilippines,PHL,2021,0.736\nPhilippines,PHL,2022,0.784\nPhilippines,PHL,2023,0.835\nPhilippines,PHL,2024,0.816\n```\n\nWas population growth rate in Philippines higher in 1990 or 2009?","response":"Higher in 1990. The chart gives 2.68 % for 1990 and 1.97 % for 2009, a difference of 0.71 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPhilippines,PHL,1990,2.683\nPhilippines,PHL,1991,2.126\nPhilippines,PHL,1992,2.607\nPhilippines,PHL,1993,2.207\nPhilippines,PHL,1994,2.155\nPhilippines,PHL,1995,2.221\nPhilippines,PHL,1996,2.385\nPhilippines,PHL,1997,2.322\nPhilippines,PHL,1998,2.703\nPhilippines,PHL,1999,2.413\nPhilippines,PHL,2000,2.347\nPhilippines,PHL,2001,2.068\nPhilippines,PHL,2002,1.988\nPhilippines,PHL,2003,1.977\nPhilippines,PHL,2004,1.911\nPhilippines,PHL,2005,1.809\nPhilippines,PHL,2006,1.557\nPhilippines,PHL,2007,1.909\nPhilippines,PHL,2008,1.628\nPhilippines,PHL,2009,1.972\nPhilippines,PHL,2010,2.122\nPhilippines,PHL,2011,1.81\nPhilippines,PHL,2012,2.072\nPhilippines,PHL,2013,1.691\nPhilippines,PHL,2014,1.595\nPhilippines,PHL,2015,1.364\nPhilippines,PHL,2016,1.32\nPhilippines,PHL,2017,1.257\nPhilippines,PHL,2018,1.217\nPhilippines,PHL,2019,1.215\nPhilippines,PHL,2020,1.077\nPhilippines,PHL,2021,0.736\nPhilippines,PHL,2022,0.784\nPhilippines,PHL,2023,0.835\nPhilippines,PHL,2024,0.816\n```\n\nBased on this chart, is population growth rate in Philippines rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2.68 % to 0.82 %, a change of -69.59%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPhilippines,PHL,1991,2.126\nPhilippines,PHL,1992,2.607\nPhilippines,PHL,1993,2.207\nPhilippines,PHL,1994,2.155\nPhilippines,PHL,1995,2.221\nPhilippines,PHL,1996,2.385\nPhilippines,PHL,1997,2.322\nPhilippines,PHL,1998,2.703\nPhilippines,PHL,1999,2.413\n```\n\nWhat does this chart suggest about the long-run direction of population growth rate in Philippines?","response":"Within the window shown (1991-1999) the series moves +13.50%, but that window runs against the longer record. Across the full series (1990-2024) the change is -69.59%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nPhilippines,PHL,1990,2.683\nPhilippines,PHL,1991,2.126\nPhilippines,PHL,1992,2.607\nPhilippines,PHL,1993,2.207\nPhilippines,PHL,1994,2.155\nPhilippines,PHL,1995,2.221\nPhilippines,PHL,1996,2.385\nPhilippines,PHL,1997,2.322\nPhilippines,PHL,1998,2.703\nPhilippines,PHL,1999,2.413\nPhilippines,PHL,2000,2.347\nPhilippines,PHL,2001,2.068\nPhilippines,PHL,2002,1.988\nPhilippines,PHL,2003,1.977\nPhilippines,PHL,2004,1.911\nPhilippines,PHL,2005,1.809\nPhilippines,PHL,2006,1.557\nPhilippines,PHL,2007,1.909\nPhilippines,PHL,2008,1.628\nPhilippines,PHL,2009,1.972\nPhilippines,PHL,2010,2.122\nPhilippines,PHL,2011,1.81\nPhilippines,PHL,2012,2.072\nPhilippines,PHL,2013,1.691\nPhilippines,PHL,2014,1.595\nPhilippines,PHL,2015,1.364\nPhilippines,PHL,2016,1.32\nPhilippines,PHL,2017,1.257\nPhilippines,PHL,2018,1.217\nPhilippines,PHL,2019,1.215\nPhilippines,PHL,2020,1.077\nPhilippines,PHL,2021,0.736\nPhilippines,PHL,2022,0.784\nPhilippines,PHL,2023,0.835\nPhilippines,PHL,2024,0.816\n```\n\nWhat was population growth rate for Philippines in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 2.68 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__Philippines__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nIndia,IND,1990,2.199\nIndia,IND,1991,2.137\nIndia,IND,1992,2.123\nIndia,IND,1993,2.077\nIndia,IND,1994,2.012\nIndia,IND,1995,2.014\nIndia,IND,1996,1.982\nIndia,IND,1997,1.951\nIndia,IND,1998,1.921\nIndia,IND,1999,1.883\nIndia,IND,2000,1.875\nIndia,IND,2001,1.866\nIndia,IND,2002,1.758\nIndia,IND,2003,1.711\nIndia,IND,2004,1.696\nIndia,IND,2005,1.568\nIndia,IND,2006,1.56\nIndia,IND,2007,1.453\nIndia,IND,2008,1.425\nIndia,IND,2009,1.467\nIndia,IND,2010,1.443\nIndia,IND,2011,1.391\nIndia,IND,2012,1.357\nIndia,IND,2013,1.309\nIndia,IND,2014,1.215\nIndia,IND,2015,1.171\nIndia,IND,2016,1.212\nIndia,IND,2017,1.114\nIndia,IND,2018,1.081\nIndia,IND,2019,0.999\nIndia,IND,2020,0.948\nIndia,IND,2021,0.699\nIndia,IND,2022,0.881\nIndia,IND,2023,0.885\nIndia,IND,2024,0.896\n```\n\nAccording to this chart, what was population growth rate in India in 2004?","response":"Reading the plotted point for 2004, population growth rate in India was 1.7 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nIndia,IND,1990,2.199\nIndia,IND,1991,2.137\nIndia,IND,1992,2.123\nIndia,IND,1993,2.077\nIndia,IND,1994,2.012\nIndia,IND,1995,2.014\nIndia,IND,1996,1.982\nIndia,IND,1997,1.951\nIndia,IND,1998,1.921\nIndia,IND,1999,1.883\nIndia,IND,2000,1.875\nIndia,IND,2001,1.866\nIndia,IND,2002,1.758\nIndia,IND,2003,1.711\nIndia,IND,2004,1.696\nIndia,IND,2005,1.568\nIndia,IND,2006,1.56\nIndia,IND,2007,1.453\nIndia,IND,2008,1.425\nIndia,IND,2009,1.467\nIndia,IND,2010,1.443\nIndia,IND,2011,1.391\nIndia,IND,2012,1.357\nIndia,IND,2013,1.309\nIndia,IND,2014,1.215\nIndia,IND,2015,1.171\nIndia,IND,2016,1.212\nIndia,IND,2017,1.114\nIndia,IND,2018,1.081\nIndia,IND,2019,0.999\nIndia,IND,2020,0.948\nIndia,IND,2021,0.699\nIndia,IND,2022,0.881\nIndia,IND,2023,0.885\nIndia,IND,2024,0.896\n```\n\nIn which year shown does population growth rate reach its highest value for India?","response":"The series peaks in 1990, at 2.2 %. The lowest point shown is 2021, at 0.7 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nIndia,IND,1990,2.199\nIndia,IND,1991,2.137\nIndia,IND,1992,2.123\nIndia,IND,1993,2.077\nIndia,IND,1994,2.012\nIndia,IND,1995,2.014\nIndia,IND,1996,1.982\nIndia,IND,1997,1.951\nIndia,IND,1998,1.921\nIndia,IND,1999,1.883\nIndia,IND,2000,1.875\nIndia,IND,2001,1.866\nIndia,IND,2002,1.758\nIndia,IND,2003,1.711\nIndia,IND,2004,1.696\nIndia,IND,2005,1.568\nIndia,IND,2006,1.56\nIndia,IND,2007,1.453\nIndia,IND,2008,1.425\nIndia,IND,2009,1.467\nIndia,IND,2010,1.443\nIndia,IND,2011,1.391\nIndia,IND,2012,1.357\nIndia,IND,2013,1.309\nIndia,IND,2014,1.215\nIndia,IND,2015,1.171\nIndia,IND,2016,1.212\nIndia,IND,2017,1.114\nIndia,IND,2018,1.081\nIndia,IND,2019,0.999\nIndia,IND,2020,0.948\nIndia,IND,2021,0.699\nIndia,IND,2022,0.881\nIndia,IND,2023,0.885\nIndia,IND,2024,0.896\n```\n\nHow much did population growth rate change for India between 1990 and 2024?","response":"It moved from 2.2 % in 1990 to 0.9 % in 2024, a change of -1.3 % (-59.25%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nIndia,IND,1990,2.199\nIndia,IND,1991,2.137\nIndia,IND,1992,2.123\nIndia,IND,1993,2.077\nIndia,IND,1994,2.012\nIndia,IND,1995,2.014\nIndia,IND,1996,1.982\nIndia,IND,1997,1.951\nIndia,IND,1998,1.921\nIndia,IND,1999,1.883\nIndia,IND,2000,1.875\nIndia,IND,2001,1.866\nIndia,IND,2002,1.758\nIndia,IND,2003,1.711\nIndia,IND,2004,1.696\nIndia,IND,2005,1.568\nIndia,IND,2006,1.56\nIndia,IND,2007,1.453\nIndia,IND,2008,1.425\nIndia,IND,2009,1.467\nIndia,IND,2010,1.443\nIndia,IND,2011,1.391\nIndia,IND,2012,1.357\nIndia,IND,2013,1.309\nIndia,IND,2014,1.215\nIndia,IND,2015,1.171\nIndia,IND,2016,1.212\nIndia,IND,2017,1.114\nIndia,IND,2018,1.081\nIndia,IND,2019,0.999\nIndia,IND,2020,0.948\nIndia,IND,2021,0.699\nIndia,IND,2022,0.881\nIndia,IND,2023,0.885\nIndia,IND,2024,0.896\n```\n\nWas population growth rate in India higher in 2006 or 2013?","response":"Higher in 2006. The chart gives 1.56 % for 2006 and 1.31 % for 2013, a difference of 0.25 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nIndia,IND,1990,2.199\nIndia,IND,1991,2.137\nIndia,IND,1992,2.123\nIndia,IND,1993,2.077\nIndia,IND,1994,2.012\nIndia,IND,1995,2.014\nIndia,IND,1996,1.982\nIndia,IND,1997,1.951\nIndia,IND,1998,1.921\nIndia,IND,1999,1.883\nIndia,IND,2000,1.875\nIndia,IND,2001,1.866\nIndia,IND,2002,1.758\nIndia,IND,2003,1.711\nIndia,IND,2004,1.696\nIndia,IND,2005,1.568\nIndia,IND,2006,1.56\nIndia,IND,2007,1.453\nIndia,IND,2008,1.425\nIndia,IND,2009,1.467\nIndia,IND,2010,1.443\nIndia,IND,2011,1.391\nIndia,IND,2012,1.357\nIndia,IND,2013,1.309\nIndia,IND,2014,1.215\nIndia,IND,2015,1.171\nIndia,IND,2016,1.212\nIndia,IND,2017,1.114\nIndia,IND,2018,1.081\nIndia,IND,2019,0.999\nIndia,IND,2020,0.948\nIndia,IND,2021,0.699\nIndia,IND,2022,0.881\nIndia,IND,2023,0.885\nIndia,IND,2024,0.896\n```\n\nAccording to this chart, what was population growth rate in India in 2004?","response":"Reading the plotted point for 2004, population growth rate in India was 1.7 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nIndia,IND,1990,2.199\nIndia,IND,1991,2.137\nIndia,IND,1992,2.123\nIndia,IND,1993,2.077\nIndia,IND,1994,2.012\nIndia,IND,1995,2.014\nIndia,IND,1996,1.982\nIndia,IND,1997,1.951\nIndia,IND,1998,1.921\nIndia,IND,1999,1.883\nIndia,IND,2000,1.875\nIndia,IND,2001,1.866\nIndia,IND,2002,1.758\nIndia,IND,2003,1.711\nIndia,IND,2004,1.696\nIndia,IND,2005,1.568\nIndia,IND,2006,1.56\nIndia,IND,2007,1.453\nIndia,IND,2008,1.425\nIndia,IND,2009,1.467\nIndia,IND,2010,1.443\nIndia,IND,2011,1.391\nIndia,IND,2012,1.357\nIndia,IND,2013,1.309\nIndia,IND,2014,1.215\nIndia,IND,2015,1.171\nIndia,IND,2016,1.212\nIndia,IND,2017,1.114\nIndia,IND,2018,1.081\nIndia,IND,2019,0.999\nIndia,IND,2020,0.948\nIndia,IND,2021,0.699\nIndia,IND,2022,0.881\nIndia,IND,2023,0.885\nIndia,IND,2024,0.896\n```\n\nIn which year shown does population growth rate reach its highest value for India?","response":"The series peaks in 1990, at 2.2 %. The lowest point shown is 2021, at 0.7 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nIndia,IND,1990,2.199\nIndia,IND,1991,2.137\nIndia,IND,1992,2.123\nIndia,IND,1993,2.077\nIndia,IND,1994,2.012\nIndia,IND,1995,2.014\nIndia,IND,1996,1.982\nIndia,IND,1997,1.951\nIndia,IND,1998,1.921\nIndia,IND,1999,1.883\nIndia,IND,2000,1.875\nIndia,IND,2001,1.866\nIndia,IND,2002,1.758\nIndia,IND,2003,1.711\nIndia,IND,2004,1.696\nIndia,IND,2005,1.568\nIndia,IND,2006,1.56\nIndia,IND,2007,1.453\nIndia,IND,2008,1.425\nIndia,IND,2009,1.467\nIndia,IND,2010,1.443\nIndia,IND,2011,1.391\nIndia,IND,2012,1.357\nIndia,IND,2013,1.309\nIndia,IND,2014,1.215\nIndia,IND,2015,1.171\nIndia,IND,2016,1.212\nIndia,IND,2017,1.114\nIndia,IND,2018,1.081\nIndia,IND,2019,0.999\nIndia,IND,2020,0.948\nIndia,IND,2021,0.699\nIndia,IND,2022,0.881\nIndia,IND,2023,0.885\nIndia,IND,2024,0.896\n```\n\nHow much did population growth rate change for India between 1990 and 2024?","response":"It moved from 2.2 % in 1990 to 0.9 % in 2024, a change of -1.3 % (-59.25%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nIndia,IND,1990,2.199\nIndia,IND,1991,2.137\nIndia,IND,1992,2.123\nIndia,IND,1993,2.077\nIndia,IND,1994,2.012\nIndia,IND,1995,2.014\nIndia,IND,1996,1.982\nIndia,IND,1997,1.951\nIndia,IND,1998,1.921\nIndia,IND,1999,1.883\nIndia,IND,2000,1.875\nIndia,IND,2001,1.866\nIndia,IND,2002,1.758\nIndia,IND,2003,1.711\nIndia,IND,2004,1.696\nIndia,IND,2005,1.568\nIndia,IND,2006,1.56\nIndia,IND,2007,1.453\nIndia,IND,2008,1.425\nIndia,IND,2009,1.467\nIndia,IND,2010,1.443\nIndia,IND,2011,1.391\nIndia,IND,2012,1.357\nIndia,IND,2013,1.309\nIndia,IND,2014,1.215\nIndia,IND,2015,1.171\nIndia,IND,2016,1.212\nIndia,IND,2017,1.114\nIndia,IND,2018,1.081\nIndia,IND,2019,0.999\nIndia,IND,2020,0.948\nIndia,IND,2021,0.699\nIndia,IND,2022,0.881\nIndia,IND,2023,0.885\nIndia,IND,2024,0.896\n```\n\nWas population growth rate in India higher in 2006 or 2013?","response":"Higher in 2006. The chart gives 1.56 % for 2006 and 1.31 % for 2013, a difference of 0.25 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nIndia,IND,1990,2.199\nIndia,IND,1991,2.137\nIndia,IND,1992,2.123\nIndia,IND,1993,2.077\nIndia,IND,1994,2.012\nIndia,IND,1995,2.014\nIndia,IND,1996,1.982\nIndia,IND,1997,1.951\nIndia,IND,1998,1.921\nIndia,IND,1999,1.883\nIndia,IND,2000,1.875\nIndia,IND,2001,1.866\nIndia,IND,2002,1.758\nIndia,IND,2003,1.711\nIndia,IND,2004,1.696\nIndia,IND,2005,1.568\nIndia,IND,2006,1.56\nIndia,IND,2007,1.453\nIndia,IND,2008,1.425\nIndia,IND,2009,1.467\nIndia,IND,2010,1.443\nIndia,IND,2011,1.391\nIndia,IND,2012,1.357\nIndia,IND,2013,1.309\nIndia,IND,2014,1.215\nIndia,IND,2015,1.171\nIndia,IND,2016,1.212\nIndia,IND,2017,1.114\nIndia,IND,2018,1.081\nIndia,IND,2019,0.999\nIndia,IND,2020,0.948\nIndia,IND,2021,0.699\nIndia,IND,2022,0.881\nIndia,IND,2023,0.885\nIndia,IND,2024,0.896\n```\n\nBased on this chart, is population growth rate in India rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2.2 % to 0.9 %, a change of -59.25%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Population growth rate\nIndia,IND,1990,2.199\nIndia,IND,1991,2.137\nIndia,IND,1992,2.123\nIndia,IND,1993,2.077\nIndia,IND,1994,2.012\nIndia,IND,1995,2.014\nIndia,IND,1996,1.982\nIndia,IND,1997,1.951\nIndia,IND,1998,1.921\nIndia,IND,1999,1.883\nIndia,IND,2000,1.875\nIndia,IND,2001,1.866\nIndia,IND,2002,1.758\nIndia,IND,2003,1.711\nIndia,IND,2004,1.696\nIndia,IND,2005,1.568\nIndia,IND,2006,1.56\nIndia,IND,2007,1.453\nIndia,IND,2008,1.425\nIndia,IND,2009,1.467\nIndia,IND,2010,1.443\nIndia,IND,2011,1.391\nIndia,IND,2012,1.357\nIndia,IND,2013,1.309\nIndia,IND,2014,1.215\nIndia,IND,2015,1.171\nIndia,IND,2016,1.212\nIndia,IND,2017,1.114\nIndia,IND,2018,1.081\nIndia,IND,2019,0.999\nIndia,IND,2020,0.948\nIndia,IND,2021,0.699\nIndia,IND,2022,0.881\nIndia,IND,2023,0.885\nIndia,IND,2024,0.896\n```\n\nWhat caused the change in population growth rate for India around 2021?","response":"The chart shows that the change happened: population growth rate moves to 0.7 % in 2021. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/population-growth-rate__India__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"World population growth","source_citation":"HYDE (2023); Gapminder (2022); UN WPP (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/population-growth-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nIndia,IND,1970,1.65\nIndia,IND,1975,2.09\nIndia,IND,1980,2.46\nIndia,IND,1985,3.03\nIndia,IND,1990,3.56\nIndia,IND,1995,4.3\nIndia,IND,2000,5.3\nIndia,IND,2005,5.94\nIndia,IND,2010,6.59\nIndia,IND,2015,7.31\nIndia,IND,2020,7.8\n```\n\nAccording to this chart, what was average years of schooling in India in 1970?","response":"Reading the plotted point for 1970, average years of schooling in India was 1.65 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nIndia,IND,1970,1.65\nIndia,IND,1975,2.09\nIndia,IND,1980,2.46\nIndia,IND,1985,3.03\nIndia,IND,1990,3.56\nIndia,IND,1995,4.3\nIndia,IND,2000,5.3\nIndia,IND,2005,5.94\nIndia,IND,2010,6.59\nIndia,IND,2015,7.31\nIndia,IND,2020,7.8\n```\n\nIn which year shown does average years of schooling reach its highest value for India?","response":"The series peaks in 2020, at 7.8 years. The lowest point shown is 1970, at 1.65 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nIndia,IND,1970,1.65\nIndia,IND,1975,2.09\nIndia,IND,1980,2.46\nIndia,IND,1985,3.03\nIndia,IND,1990,3.56\nIndia,IND,1995,4.3\nIndia,IND,2000,5.3\nIndia,IND,2005,5.94\nIndia,IND,2010,6.59\nIndia,IND,2015,7.31\nIndia,IND,2020,7.8\n```\n\nHow much did average years of schooling change for India between 1970 and 2020?","response":"It moved from 1.65 years in 1970 to 7.8 years in 2020, a change of 6.15 years (+372.73%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nIndia,IND,1970,1.65\nIndia,IND,1975,2.09\nIndia,IND,1980,2.46\nIndia,IND,1985,3.03\nIndia,IND,1990,3.56\nIndia,IND,1995,4.3\nIndia,IND,2000,5.3\nIndia,IND,2005,5.94\nIndia,IND,2010,6.59\nIndia,IND,2015,7.31\nIndia,IND,2020,7.8\n```\n\nWas average years of schooling in India higher in 1975 or 2000?","response":"Higher in 2000. The chart gives 2.09 years for 1975 and 5.3 years for 2000, a difference of 3.21 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nIndia,IND,1970,1.65\nIndia,IND,1975,2.09\nIndia,IND,1980,2.46\nIndia,IND,1985,3.03\nIndia,IND,1990,3.56\nIndia,IND,1995,4.3\nIndia,IND,2000,5.3\nIndia,IND,2005,5.94\nIndia,IND,2010,6.59\nIndia,IND,2015,7.31\nIndia,IND,2020,7.8\n```\n\nAccording to this chart, what was average years of schooling in India in 1970?","response":"Reading the plotted point for 1970, average years of schooling in India was 1.65 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nIndia,IND,1970,1.65\nIndia,IND,1975,2.09\nIndia,IND,1980,2.46\nIndia,IND,1985,3.03\nIndia,IND,1990,3.56\nIndia,IND,1995,4.3\nIndia,IND,2000,5.3\nIndia,IND,2005,5.94\nIndia,IND,2010,6.59\nIndia,IND,2015,7.31\nIndia,IND,2020,7.8\n```\n\nIn which year shown does average years of schooling reach its highest value for India?","response":"The series peaks in 2020, at 7.8 years. The lowest point shown is 1970, at 1.65 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nIndia,IND,1970,1.65\nIndia,IND,1975,2.09\nIndia,IND,1980,2.46\nIndia,IND,1985,3.03\nIndia,IND,1990,3.56\nIndia,IND,1995,4.3\nIndia,IND,2000,5.3\nIndia,IND,2005,5.94\nIndia,IND,2010,6.59\nIndia,IND,2015,7.31\nIndia,IND,2020,7.8\n```\n\nHow much did average years of schooling change for India between 1970 and 2020?","response":"It moved from 1.65 years in 1970 to 7.8 years in 2020, a change of 6.15 years (+372.73%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nIndia,IND,1970,1.65\nIndia,IND,1975,2.09\nIndia,IND,1980,2.46\nIndia,IND,1985,3.03\nIndia,IND,1990,3.56\nIndia,IND,1995,4.3\nIndia,IND,2000,5.3\nIndia,IND,2005,5.94\nIndia,IND,2010,6.59\nIndia,IND,2015,7.31\nIndia,IND,2020,7.8\n```\n\nWas average years of schooling in India higher in 1975 or 2000?","response":"Higher in 2000. The chart gives 2.09 years for 1975 and 5.3 years for 2000, a difference of 3.21 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nIndia,IND,1970,1.65\nIndia,IND,1975,2.09\nIndia,IND,1980,2.46\nIndia,IND,1985,3.03\nIndia,IND,1990,3.56\nIndia,IND,1995,4.3\nIndia,IND,2000,5.3\nIndia,IND,2005,5.94\nIndia,IND,2010,6.59\nIndia,IND,2015,7.31\nIndia,IND,2020,7.8\n```\n\nBased on this chart, is average years of schooling in India rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 1.65 years to 7.8 years, a change of +372.73%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nIndia,IND,1970,1.65\nIndia,IND,1975,2.09\nIndia,IND,1980,2.46\nIndia,IND,1985,3.03\nIndia,IND,1990,3.56\nIndia,IND,1995,4.3\nIndia,IND,2000,5.3\nIndia,IND,2005,5.94\nIndia,IND,2010,6.59\nIndia,IND,2015,7.31\nIndia,IND,2020,7.8\n```\n\nThis chart makes the change in average years of schooling for India look dramatic. Is it?","response":"The values change by +372.73%, from 1.65 years to 7.8 years. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nIndia,IND,1970,1.65\nIndia,IND,1975,2.09\nIndia,IND,1980,2.46\nIndia,IND,1985,3.03\nIndia,IND,1990,3.56\nIndia,IND,1995,4.3\nIndia,IND,2000,5.3\nIndia,IND,2005,5.94\nIndia,IND,2010,6.59\nIndia,IND,2015,7.31\nIndia,IND,2020,7.8\n```\n\nWhat was average years of schooling for India in 1955?","response":"That year is outside this chart. The series runs 1970 to 2020, and 1955 falls before it begins, so there is no value to read. The earliest point available is 1970, at 1.65 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__India__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nChina,CHN,1970,4.16\nChina,CHN,1975,4.83\nChina,CHN,1980,5.74\nChina,CHN,1985,6.16\nChina,CHN,1990,6.45\nChina,CHN,1995,7.17\nChina,CHN,2000,7.79\nChina,CHN,2005,8.02\nChina,CHN,2010,8.25\nChina,CHN,2015,8.51\nChina,CHN,2020,8.99\n```\n\nAccording to this chart, what was average years of schooling in China in 1975?","response":"Reading the plotted point for 1975, average years of schooling in China was 4.83 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nChina,CHN,1970,4.16\nChina,CHN,1975,4.83\nChina,CHN,1980,5.74\nChina,CHN,1985,6.16\nChina,CHN,1990,6.45\nChina,CHN,1995,7.17\nChina,CHN,2000,7.79\nChina,CHN,2005,8.02\nChina,CHN,2010,8.25\nChina,CHN,2015,8.51\nChina,CHN,2020,8.99\n```\n\nIn which year shown does average years of schooling reach its highest value for China?","response":"The series peaks in 2020, at 8.99 years. The lowest point shown is 1970, at 4.16 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nChina,CHN,1970,4.16\nChina,CHN,1975,4.83\nChina,CHN,1980,5.74\nChina,CHN,1985,6.16\nChina,CHN,1990,6.45\nChina,CHN,1995,7.17\nChina,CHN,2000,7.79\nChina,CHN,2005,8.02\nChina,CHN,2010,8.25\nChina,CHN,2015,8.51\nChina,CHN,2020,8.99\n```\n\nHow much did average years of schooling change for China between 1970 and 2020?","response":"It moved from 4.16 years in 1970 to 8.99 years in 2020, a change of 4.83 years (+116.11%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nChina,CHN,1970,4.16\nChina,CHN,1975,4.83\nChina,CHN,1980,5.74\nChina,CHN,1985,6.16\nChina,CHN,1990,6.45\nChina,CHN,1995,7.17\nChina,CHN,2000,7.79\nChina,CHN,2005,8.02\nChina,CHN,2010,8.25\nChina,CHN,2015,8.51\nChina,CHN,2020,8.99\n```\n\nWas average years of schooling in China higher in 1975 or 2010?","response":"Higher in 2010. The chart gives 4.83 years for 1975 and 8.25 years for 2010, a difference of 3.42 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nChina,CHN,1970,4.16\nChina,CHN,1975,4.83\nChina,CHN,1980,5.74\nChina,CHN,1985,6.16\nChina,CHN,1990,6.45\nChina,CHN,1995,7.17\nChina,CHN,2000,7.79\nChina,CHN,2005,8.02\nChina,CHN,2010,8.25\nChina,CHN,2015,8.51\nChina,CHN,2020,8.99\n```\n\nAccording to this chart, what was average years of schooling in China in 1975?","response":"Reading the plotted point for 1975, average years of schooling in China was 4.83 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nChina,CHN,1970,4.16\nChina,CHN,1975,4.83\nChina,CHN,1980,5.74\nChina,CHN,1985,6.16\nChina,CHN,1990,6.45\nChina,CHN,1995,7.17\nChina,CHN,2000,7.79\nChina,CHN,2005,8.02\nChina,CHN,2010,8.25\nChina,CHN,2015,8.51\nChina,CHN,2020,8.99\n```\n\nIn which year shown does average years of schooling reach its highest value for China?","response":"The series peaks in 2020, at 8.99 years. The lowest point shown is 1970, at 4.16 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nChina,CHN,1970,4.16\nChina,CHN,1975,4.83\nChina,CHN,1980,5.74\nChina,CHN,1985,6.16\nChina,CHN,1990,6.45\nChina,CHN,1995,7.17\nChina,CHN,2000,7.79\nChina,CHN,2005,8.02\nChina,CHN,2010,8.25\nChina,CHN,2015,8.51\nChina,CHN,2020,8.99\n```\n\nHow much did average years of schooling change for China between 1970 and 2020?","response":"It moved from 4.16 years in 1970 to 8.99 years in 2020, a change of 4.83 years (+116.11%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nChina,CHN,1970,4.16\nChina,CHN,1975,4.83\nChina,CHN,1980,5.74\nChina,CHN,1985,6.16\nChina,CHN,1990,6.45\nChina,CHN,1995,7.17\nChina,CHN,2000,7.79\nChina,CHN,2005,8.02\nChina,CHN,2010,8.25\nChina,CHN,2015,8.51\nChina,CHN,2020,8.99\n```\n\nWas average years of schooling in China higher in 1975 or 2010?","response":"Higher in 2010. The chart gives 4.83 years for 1975 and 8.25 years for 2010, a difference of 3.42 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nChina,CHN,1970,4.16\nChina,CHN,1975,4.83\nChina,CHN,1980,5.74\nChina,CHN,1985,6.16\nChina,CHN,1990,6.45\nChina,CHN,1995,7.17\nChina,CHN,2000,7.79\nChina,CHN,2005,8.02\nChina,CHN,2010,8.25\nChina,CHN,2015,8.51\nChina,CHN,2020,8.99\n```\n\nBased on this chart, is average years of schooling in China rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 4.16 years to 8.99 years, a change of +116.11%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nChina,CHN,1970,4.16\nChina,CHN,1975,4.83\nChina,CHN,1980,5.74\nChina,CHN,1985,6.16\nChina,CHN,1990,6.45\nChina,CHN,1995,7.17\nChina,CHN,2000,7.79\nChina,CHN,2005,8.02\nChina,CHN,2010,8.25\nChina,CHN,2015,8.51\nChina,CHN,2020,8.99\n```\n\nThis chart makes the change in average years of schooling for China look dramatic. Is it?","response":"The values change by +116.11%, from 4.16 years to 8.99 years. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nChina,CHN,1970,4.16\nChina,CHN,1975,4.83\nChina,CHN,1980,5.74\nChina,CHN,1985,6.16\nChina,CHN,1990,6.45\nChina,CHN,1995,7.17\nChina,CHN,2000,7.79\nChina,CHN,2005,8.02\nChina,CHN,2010,8.25\nChina,CHN,2015,8.51\nChina,CHN,2020,8.99\n```\n\nWhat was average years of schooling for China in 1955?","response":"That year is outside this chart. The series runs 1970 to 2020, and 1955 falls before it begins, so there is no value to read. The earliest point available is 1970, at 4.16 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__China__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nBrazil,BRA,1970,3.28\nBrazil,BRA,1975,2.87\nBrazil,BRA,1980,3.05\nBrazil,BRA,1985,4.12\nBrazil,BRA,1990,4.94\nBrazil,BRA,1995,5.79\nBrazil,BRA,2000,6.76\nBrazil,BRA,2005,7.67\nBrazil,BRA,2010,8.17\nBrazil,BRA,2015,7.66\nBrazil,BRA,2020,8.0\n```\n\nAccording to this chart, what was average years of schooling in Brazil in 1995?","response":"Reading the plotted point for 1995, average years of schooling in Brazil was 5.79 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nBrazil,BRA,1970,3.28\nBrazil,BRA,1975,2.87\nBrazil,BRA,1980,3.05\nBrazil,BRA,1985,4.12\nBrazil,BRA,1990,4.94\nBrazil,BRA,1995,5.79\nBrazil,BRA,2000,6.76\nBrazil,BRA,2005,7.67\nBrazil,BRA,2010,8.17\nBrazil,BRA,2015,7.66\nBrazil,BRA,2020,8.0\n```\n\nIn which year shown does average years of schooling reach its highest value for Brazil?","response":"The series peaks in 2010, at 8.17 years. The lowest point shown is 1975, at 2.87 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nBrazil,BRA,1970,3.28\nBrazil,BRA,1975,2.87\nBrazil,BRA,1980,3.05\nBrazil,BRA,1985,4.12\nBrazil,BRA,1990,4.94\nBrazil,BRA,1995,5.79\nBrazil,BRA,2000,6.76\nBrazil,BRA,2005,7.67\nBrazil,BRA,2010,8.17\nBrazil,BRA,2015,7.66\nBrazil,BRA,2020,8.0\n```\n\nHow much did average years of schooling change for Brazil between 1970 and 2020?","response":"It moved from 3.28 years in 1970 to 8 years in 2020, a change of 4.72 years (+143.90%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nBrazil,BRA,1970,3.28\nBrazil,BRA,1975,2.87\nBrazil,BRA,1980,3.05\nBrazil,BRA,1985,4.12\nBrazil,BRA,1990,4.94\nBrazil,BRA,1995,5.79\nBrazil,BRA,2000,6.76\nBrazil,BRA,2005,7.67\nBrazil,BRA,2010,8.17\nBrazil,BRA,2015,7.66\nBrazil,BRA,2020,8.0\n```\n\nWas average years of schooling in Brazil higher in 1985 or 1995?","response":"Higher in 1995. The chart gives 4.12 years for 1985 and 5.79 years for 1995, a difference of 1.67 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nBrazil,BRA,1970,3.28\nBrazil,BRA,1975,2.87\nBrazil,BRA,1980,3.05\nBrazil,BRA,1985,4.12\nBrazil,BRA,1990,4.94\nBrazil,BRA,1995,5.79\nBrazil,BRA,2000,6.76\nBrazil,BRA,2005,7.67\nBrazil,BRA,2010,8.17\nBrazil,BRA,2015,7.66\nBrazil,BRA,2020,8.0\n```\n\nAccording to this chart, what was average years of schooling in Brazil in 1995?","response":"Reading the plotted point for 1995, average years of schooling in Brazil was 5.79 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nBrazil,BRA,1970,3.28\nBrazil,BRA,1975,2.87\nBrazil,BRA,1980,3.05\nBrazil,BRA,1985,4.12\nBrazil,BRA,1990,4.94\nBrazil,BRA,1995,5.79\nBrazil,BRA,2000,6.76\nBrazil,BRA,2005,7.67\nBrazil,BRA,2010,8.17\nBrazil,BRA,2015,7.66\nBrazil,BRA,2020,8.0\n```\n\nIn which year shown does average years of schooling reach its highest value for Brazil?","response":"The series peaks in 2010, at 8.17 years. The lowest point shown is 1975, at 2.87 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nBrazil,BRA,1970,3.28\nBrazil,BRA,1975,2.87\nBrazil,BRA,1980,3.05\nBrazil,BRA,1985,4.12\nBrazil,BRA,1990,4.94\nBrazil,BRA,1995,5.79\nBrazil,BRA,2000,6.76\nBrazil,BRA,2005,7.67\nBrazil,BRA,2010,8.17\nBrazil,BRA,2015,7.66\nBrazil,BRA,2020,8.0\n```\n\nHow much did average years of schooling change for Brazil between 1970 and 2020?","response":"It moved from 3.28 years in 1970 to 8 years in 2020, a change of 4.72 years (+143.90%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nBrazil,BRA,1970,3.28\nBrazil,BRA,1975,2.87\nBrazil,BRA,1980,3.05\nBrazil,BRA,1985,4.12\nBrazil,BRA,1990,4.94\nBrazil,BRA,1995,5.79\nBrazil,BRA,2000,6.76\nBrazil,BRA,2005,7.67\nBrazil,BRA,2010,8.17\nBrazil,BRA,2015,7.66\nBrazil,BRA,2020,8.0\n```\n\nWas average years of schooling in Brazil higher in 1985 or 1995?","response":"Higher in 1995. The chart gives 4.12 years for 1985 and 5.79 years for 1995, a difference of 1.67 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nBrazil,BRA,1970,3.28\nBrazil,BRA,1975,2.87\nBrazil,BRA,1980,3.05\nBrazil,BRA,1985,4.12\nBrazil,BRA,1990,4.94\nBrazil,BRA,1995,5.79\nBrazil,BRA,2000,6.76\nBrazil,BRA,2005,7.67\nBrazil,BRA,2010,8.17\nBrazil,BRA,2015,7.66\nBrazil,BRA,2020,8.0\n```\n\nThis chart makes the change in average years of schooling for Brazil look dramatic. Is it?","response":"The values change by +143.90%, from 3.28 years to 8 years. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nBrazil,BRA,1970,3.28\nBrazil,BRA,1975,2.87\nBrazil,BRA,1980,3.05\nBrazil,BRA,1985,4.12\nBrazil,BRA,1990,4.94\nBrazil,BRA,1995,5.79\nBrazil,BRA,2000,6.76\nBrazil,BRA,2005,7.67\nBrazil,BRA,2010,8.17\nBrazil,BRA,2015,7.66\nBrazil,BRA,2020,8.0\n```\n\nWhat caused the change in average years of schooling for Brazil around 1985?","response":"The chart shows that the change happened: average years of schooling moves to 4.12 years in 1985. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Brazil__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nJapan,JPN,1970,8.25\nJapan,JPN,1975,8.85\nJapan,JPN,1980,9.6\nJapan,JPN,1985,10.12\nJapan,JPN,1990,10.71\nJapan,JPN,1995,11.26\nJapan,JPN,2000,11.77\nJapan,JPN,2005,12.12\nJapan,JPN,2010,12.44\nJapan,JPN,2015,12.6\nJapan,JPN,2020,12.83\n```\n\nAccording to this chart, what was average years of schooling in Japan in 2010?","response":"Reading the plotted point for 2010, average years of schooling in Japan was 12.44 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nJapan,JPN,1970,8.25\nJapan,JPN,1975,8.85\nJapan,JPN,1980,9.6\nJapan,JPN,1985,10.12\nJapan,JPN,1990,10.71\nJapan,JPN,1995,11.26\nJapan,JPN,2000,11.77\nJapan,JPN,2005,12.12\nJapan,JPN,2010,12.44\nJapan,JPN,2015,12.6\nJapan,JPN,2020,12.83\n```\n\nIn which year shown does average years of schooling reach its highest value for Japan?","response":"The series peaks in 2020, at 12.83 years. The lowest point shown is 1970, at 8.25 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nJapan,JPN,1970,8.25\nJapan,JPN,1975,8.85\nJapan,JPN,1980,9.6\nJapan,JPN,1985,10.12\nJapan,JPN,1990,10.71\nJapan,JPN,1995,11.26\nJapan,JPN,2000,11.77\nJapan,JPN,2005,12.12\nJapan,JPN,2010,12.44\nJapan,JPN,2015,12.6\nJapan,JPN,2020,12.83\n```\n\nHow much did average years of schooling change for Japan between 1970 and 2020?","response":"It moved from 8.25 years in 1970 to 12.83 years in 2020, a change of 4.58 years (+55.52%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nJapan,JPN,1970,8.25\nJapan,JPN,1975,8.85\nJapan,JPN,1980,9.6\nJapan,JPN,1985,10.12\nJapan,JPN,1990,10.71\nJapan,JPN,1995,11.26\nJapan,JPN,2000,11.77\nJapan,JPN,2005,12.12\nJapan,JPN,2010,12.44\nJapan,JPN,2015,12.6\nJapan,JPN,2020,12.83\n```\n\nWas average years of schooling in Japan higher in 1985 or 2010?","response":"Higher in 2010. The chart gives 10.12 years for 1985 and 12.44 years for 2010, a difference of 2.32 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nJapan,JPN,1970,8.25\nJapan,JPN,1975,8.85\nJapan,JPN,1980,9.6\nJapan,JPN,1985,10.12\nJapan,JPN,1990,10.71\nJapan,JPN,1995,11.26\nJapan,JPN,2000,11.77\nJapan,JPN,2005,12.12\nJapan,JPN,2010,12.44\nJapan,JPN,2015,12.6\nJapan,JPN,2020,12.83\n```\n\nAccording to this chart, what was average years of schooling in Japan in 2010?","response":"Reading the plotted point for 2010, average years of schooling in Japan was 12.44 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nJapan,JPN,1970,8.25\nJapan,JPN,1975,8.85\nJapan,JPN,1980,9.6\nJapan,JPN,1985,10.12\nJapan,JPN,1990,10.71\nJapan,JPN,1995,11.26\nJapan,JPN,2000,11.77\nJapan,JPN,2005,12.12\nJapan,JPN,2010,12.44\nJapan,JPN,2015,12.6\nJapan,JPN,2020,12.83\n```\n\nIn which year shown does average years of schooling reach its highest value for Japan?","response":"The series peaks in 2020, at 12.83 years. The lowest point shown is 1970, at 8.25 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nJapan,JPN,1970,8.25\nJapan,JPN,1975,8.85\nJapan,JPN,1980,9.6\nJapan,JPN,1985,10.12\nJapan,JPN,1990,10.71\nJapan,JPN,1995,11.26\nJapan,JPN,2000,11.77\nJapan,JPN,2005,12.12\nJapan,JPN,2010,12.44\nJapan,JPN,2015,12.6\nJapan,JPN,2020,12.83\n```\n\nHow much did average years of schooling change for Japan between 1970 and 2020?","response":"It moved from 8.25 years in 1970 to 12.83 years in 2020, a change of 4.58 years (+55.52%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nJapan,JPN,1970,8.25\nJapan,JPN,1975,8.85\nJapan,JPN,1980,9.6\nJapan,JPN,1985,10.12\nJapan,JPN,1990,10.71\nJapan,JPN,1995,11.26\nJapan,JPN,2000,11.77\nJapan,JPN,2005,12.12\nJapan,JPN,2010,12.44\nJapan,JPN,2015,12.6\nJapan,JPN,2020,12.83\n```\n\nWas average years of schooling in Japan higher in 1985 or 2010?","response":"Higher in 2010. The chart gives 10.12 years for 1985 and 12.44 years for 2010, a difference of 2.32 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nJapan,JPN,1970,8.25\nJapan,JPN,1975,8.85\nJapan,JPN,1980,9.6\nJapan,JPN,1985,10.12\nJapan,JPN,1990,10.71\nJapan,JPN,1995,11.26\nJapan,JPN,2000,11.77\nJapan,JPN,2005,12.12\nJapan,JPN,2010,12.44\nJapan,JPN,2015,12.6\nJapan,JPN,2020,12.83\n```\n\nThis chart makes the change in average years of schooling for Japan look dramatic. Is it?","response":"The values change by +55.52%, from 8.25 years to 12.83 years. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nJapan,JPN,1970,8.25\nJapan,JPN,1975,8.85\nJapan,JPN,1980,9.6\nJapan,JPN,1985,10.12\nJapan,JPN,1990,10.71\nJapan,JPN,1995,11.26\nJapan,JPN,2000,11.77\nJapan,JPN,2005,12.12\nJapan,JPN,2010,12.44\nJapan,JPN,2015,12.6\nJapan,JPN,2020,12.83\n```\n\nThis chart appears to show average years of schooling in Japan rising steeply. How large is the increase actually?","response":"The plotted values run from 8.25 years to 12.83 years, so the actual change is +55.52%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 8.1584 instead of zero, which magnifies the visual change by roughly 2.91x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nJapan,JPN,1970,8.25\nJapan,JPN,1975,8.85\nJapan,JPN,1980,9.6\nJapan,JPN,1985,10.12\nJapan,JPN,1990,10.71\nJapan,JPN,1995,11.26\nJapan,JPN,2000,11.77\nJapan,JPN,2005,12.12\nJapan,JPN,2010,12.44\nJapan,JPN,2015,12.6\nJapan,JPN,2020,12.83\n```\n\nWhat was average years of schooling for Japan in 1955?","response":"That year is outside this chart. The series runs 1970 to 2020, and 1955 falls before it begins, so there is no value to read. The earliest point available is 1970, at 8.25 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Japan__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nGermany,DEU,1970,7.1\nGermany,DEU,1975,7.17\nGermany,DEU,1980,7.36\nGermany,DEU,1985,7.73\nGermany,DEU,1990,8.96\nGermany,DEU,1995,9.93\nGermany,DEU,2000,10.59\nGermany,DEU,2005,11.98\nGermany,DEU,2010,12.58\nGermany,DEU,2015,12.86\nGermany,DEU,2020,13.1\n```\n\nAccording to this chart, what was average years of schooling in Germany in 1980?","response":"Reading the plotted point for 1980, average years of schooling in Germany was 7.36 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nGermany,DEU,1970,7.1\nGermany,DEU,1975,7.17\nGermany,DEU,1980,7.36\nGermany,DEU,1985,7.73\nGermany,DEU,1990,8.96\nGermany,DEU,1995,9.93\nGermany,DEU,2000,10.59\nGermany,DEU,2005,11.98\nGermany,DEU,2010,12.58\nGermany,DEU,2015,12.86\nGermany,DEU,2020,13.1\n```\n\nIn which year shown does average years of schooling reach its highest value for Germany?","response":"The series peaks in 2020, at 13.1 years. The lowest point shown is 1970, at 7.1 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nGermany,DEU,1970,7.1\nGermany,DEU,1975,7.17\nGermany,DEU,1980,7.36\nGermany,DEU,1985,7.73\nGermany,DEU,1990,8.96\nGermany,DEU,1995,9.93\nGermany,DEU,2000,10.59\nGermany,DEU,2005,11.98\nGermany,DEU,2010,12.58\nGermany,DEU,2015,12.86\nGermany,DEU,2020,13.1\n```\n\nHow much did average years of schooling change for Germany between 1970 and 2020?","response":"It moved from 7.1 years in 1970 to 13.1 years in 2020, a change of 6 years (+84.51%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nGermany,DEU,1970,7.1\nGermany,DEU,1975,7.17\nGermany,DEU,1980,7.36\nGermany,DEU,1985,7.73\nGermany,DEU,1990,8.96\nGermany,DEU,1995,9.93\nGermany,DEU,2000,10.59\nGermany,DEU,2005,11.98\nGermany,DEU,2010,12.58\nGermany,DEU,2015,12.86\nGermany,DEU,2020,13.1\n```\n\nWas average years of schooling in Germany higher in 1990 or 2010?","response":"Higher in 2010. The chart gives 8.96 years for 1990 and 12.58 years for 2010, a difference of 3.62 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nGermany,DEU,1970,7.1\nGermany,DEU,1975,7.17\nGermany,DEU,1980,7.36\nGermany,DEU,1985,7.73\nGermany,DEU,1990,8.96\nGermany,DEU,1995,9.93\nGermany,DEU,2000,10.59\nGermany,DEU,2005,11.98\nGermany,DEU,2010,12.58\nGermany,DEU,2015,12.86\nGermany,DEU,2020,13.1\n```\n\nAccording to this chart, what was average years of schooling in Germany in 1980?","response":"Reading the plotted point for 1980, average years of schooling in Germany was 7.36 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nGermany,DEU,1970,7.1\nGermany,DEU,1975,7.17\nGermany,DEU,1980,7.36\nGermany,DEU,1985,7.73\nGermany,DEU,1990,8.96\nGermany,DEU,1995,9.93\nGermany,DEU,2000,10.59\nGermany,DEU,2005,11.98\nGermany,DEU,2010,12.58\nGermany,DEU,2015,12.86\nGermany,DEU,2020,13.1\n```\n\nIn which year shown does average years of schooling reach its highest value for Germany?","response":"The series peaks in 2020, at 13.1 years. The lowest point shown is 1970, at 7.1 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nGermany,DEU,1970,7.1\nGermany,DEU,1975,7.17\nGermany,DEU,1980,7.36\nGermany,DEU,1985,7.73\nGermany,DEU,1990,8.96\nGermany,DEU,1995,9.93\nGermany,DEU,2000,10.59\nGermany,DEU,2005,11.98\nGermany,DEU,2010,12.58\nGermany,DEU,2015,12.86\nGermany,DEU,2020,13.1\n```\n\nHow much did average years of schooling change for Germany between 1970 and 2020?","response":"It moved from 7.1 years in 1970 to 13.1 years in 2020, a change of 6 years (+84.51%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nGermany,DEU,1970,7.1\nGermany,DEU,1975,7.17\nGermany,DEU,1980,7.36\nGermany,DEU,1985,7.73\nGermany,DEU,1990,8.96\nGermany,DEU,1995,9.93\nGermany,DEU,2000,10.59\nGermany,DEU,2005,11.98\nGermany,DEU,2010,12.58\nGermany,DEU,2015,12.86\nGermany,DEU,2020,13.1\n```\n\nWas average years of schooling in Germany higher in 1990 or 2010?","response":"Higher in 2010. The chart gives 8.96 years for 1990 and 12.58 years for 2010, a difference of 3.62 years.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nGermany,DEU,1970,7.1\nGermany,DEU,1975,7.17\nGermany,DEU,1980,7.36\nGermany,DEU,1985,7.73\nGermany,DEU,1990,8.96\nGermany,DEU,1995,9.93\nGermany,DEU,2000,10.59\nGermany,DEU,2005,11.98\nGermany,DEU,2010,12.58\nGermany,DEU,2015,12.86\nGermany,DEU,2020,13.1\n```\n\nBased on this chart, is average years of schooling in Germany rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 7.1 years to 13.1 years, a change of +84.51%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nGermany,DEU,1970,7.1\nGermany,DEU,1975,7.17\nGermany,DEU,1980,7.36\nGermany,DEU,1985,7.73\nGermany,DEU,1990,8.96\nGermany,DEU,1995,9.93\nGermany,DEU,2000,10.59\nGermany,DEU,2005,11.98\nGermany,DEU,2010,12.58\nGermany,DEU,2015,12.86\nGermany,DEU,2020,13.1\n```\n\nThis chart makes the change in average years of schooling for Germany look dramatic. Is it?","response":"The values change by +84.51%, from 7.1 years to 13.1 years. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Average years of schooling\nGermany,DEU,1970,7.1\nGermany,DEU,1975,7.17\nGermany,DEU,1980,7.36\nGermany,DEU,1985,7.73\nGermany,DEU,1990,8.96\nGermany,DEU,1995,9.93\nGermany,DEU,2000,10.59\nGermany,DEU,2005,11.98\nGermany,DEU,2010,12.58\nGermany,DEU,2015,12.86\nGermany,DEU,2020,13.1\n```\n\nHow does Germany compare with Chile on this measure?","response":"This chart covers Germany only, so Chile is not plotted and I cannot compare them from it. The chart does support statements about Germany on its own: the series runs from 7.1 years in 1970 to 13.1 years in 2020.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/mean-years-of-schooling-long-run__Germany__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Average years of schooling","source_citation":"Barro and Lee (2015); Lee and Lee (2016)","source_url":"https:\/\/ourworldindata.org\/grapher\/mean-years-of-schooling-long-run?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nGermany,DEU,1990,1054795900.0\nGermany,DEU,1991,1016929540.0\nGermany,DEU,1992,969464450.0\nGermany,DEU,1993,959385860.0\nGermany,DEU,1994,943227650.0\nGermany,DEU,1995,939933600.0\nGermany,DEU,1996,959690100.0\nGermany,DEU,1997,931508100.0\nGermany,DEU,1998,923498700.0\nGermany,DEU,1999,895442050.0\nGermany,DEU,2000,898975740.0\nGermany,DEU,2001,915254800.0\nGermany,DEU,2002,898834300.0\nGermany,DEU,2003,894501100.0\nGermany,DEU,2004,876569860.0\nGermany,DEU,2005,867880500.0\nGermany,DEU,2006,886434300.0\nGermany,DEU,2007,846152960.0\nGermany,DEU,2008,856642500.0\nGermany,DEU,2009,789983940.0\nGermany,DEU,2010,826704700.0\nGermany,DEU,2011,804541600.0\nGermany,DEU,2012,814093000.0\nGermany,DEU,2013,831745540.0\nGermany,DEU,2014,792583600.0\nGermany,DEU,2015,800822500.0\nGermany,DEU,2016,797988300.0\nGermany,DEU,2017,784595140.0\nGermany,DEU,2018,758771400.0\nGermany,DEU,2019,708648960.0\nGermany,DEU,2020,647176800.0\nGermany,DEU,2021,677997700.0\nGermany,DEU,2022,667843000.0\nGermany,DEU,2023,593766000.0\nGermany,DEU,2024,572319170.0\n```\n\nAccording to this chart, what was annual co\u2082 emissions in Germany in 2021?","response":"Reading the plotted point for 2021, annual co\u2082 emissions in Germany was 677,997,700 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nGermany,DEU,1990,1054795900.0\nGermany,DEU,1991,1016929540.0\nGermany,DEU,1992,969464450.0\nGermany,DEU,1993,959385860.0\nGermany,DEU,1994,943227650.0\nGermany,DEU,1995,939933600.0\nGermany,DEU,1996,959690100.0\nGermany,DEU,1997,931508100.0\nGermany,DEU,1998,923498700.0\nGermany,DEU,1999,895442050.0\nGermany,DEU,2000,898975740.0\nGermany,DEU,2001,915254800.0\nGermany,DEU,2002,898834300.0\nGermany,DEU,2003,894501100.0\nGermany,DEU,2004,876569860.0\nGermany,DEU,2005,867880500.0\nGermany,DEU,2006,886434300.0\nGermany,DEU,2007,846152960.0\nGermany,DEU,2008,856642500.0\nGermany,DEU,2009,789983940.0\nGermany,DEU,2010,826704700.0\nGermany,DEU,2011,804541600.0\nGermany,DEU,2012,814093000.0\nGermany,DEU,2013,831745540.0\nGermany,DEU,2014,792583600.0\nGermany,DEU,2015,800822500.0\nGermany,DEU,2016,797988300.0\nGermany,DEU,2017,784595140.0\nGermany,DEU,2018,758771400.0\nGermany,DEU,2019,708648960.0\nGermany,DEU,2020,647176800.0\nGermany,DEU,2021,677997700.0\nGermany,DEU,2022,667843000.0\nGermany,DEU,2023,593766000.0\nGermany,DEU,2024,572319170.0\n```\n\nIn which year shown does annual co\u2082 emissions reach its highest value for Germany?","response":"The series peaks in 1990, at 1,054,795,900 t. The lowest point shown is 2024, at 572,319,170 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nGermany,DEU,1990,1054795900.0\nGermany,DEU,1991,1016929540.0\nGermany,DEU,1992,969464450.0\nGermany,DEU,1993,959385860.0\nGermany,DEU,1994,943227650.0\nGermany,DEU,1995,939933600.0\nGermany,DEU,1996,959690100.0\nGermany,DEU,1997,931508100.0\nGermany,DEU,1998,923498700.0\nGermany,DEU,1999,895442050.0\nGermany,DEU,2000,898975740.0\nGermany,DEU,2001,915254800.0\nGermany,DEU,2002,898834300.0\nGermany,DEU,2003,894501100.0\nGermany,DEU,2004,876569860.0\nGermany,DEU,2005,867880500.0\nGermany,DEU,2006,886434300.0\nGermany,DEU,2007,846152960.0\nGermany,DEU,2008,856642500.0\nGermany,DEU,2009,789983940.0\nGermany,DEU,2010,826704700.0\nGermany,DEU,2011,804541600.0\nGermany,DEU,2012,814093000.0\nGermany,DEU,2013,831745540.0\nGermany,DEU,2014,792583600.0\nGermany,DEU,2015,800822500.0\nGermany,DEU,2016,797988300.0\nGermany,DEU,2017,784595140.0\nGermany,DEU,2018,758771400.0\nGermany,DEU,2019,708648960.0\nGermany,DEU,2020,647176800.0\nGermany,DEU,2021,677997700.0\nGermany,DEU,2022,667843000.0\nGermany,DEU,2023,593766000.0\nGermany,DEU,2024,572319170.0\n```\n\nHow much did annual co\u2082 emissions change for Germany between 1990 and 2024?","response":"It moved from 1,054,795,900 t in 1990 to 572,319,170 t in 2024, a change of -482,476,730 t (-45.74%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nGermany,DEU,1990,1054795900.0\nGermany,DEU,1991,1016929540.0\nGermany,DEU,1992,969464450.0\nGermany,DEU,1993,959385860.0\nGermany,DEU,1994,943227650.0\nGermany,DEU,1995,939933600.0\nGermany,DEU,1996,959690100.0\nGermany,DEU,1997,931508100.0\nGermany,DEU,1998,923498700.0\nGermany,DEU,1999,895442050.0\nGermany,DEU,2000,898975740.0\nGermany,DEU,2001,915254800.0\nGermany,DEU,2002,898834300.0\nGermany,DEU,2003,894501100.0\nGermany,DEU,2004,876569860.0\nGermany,DEU,2005,867880500.0\nGermany,DEU,2006,886434300.0\nGermany,DEU,2007,846152960.0\nGermany,DEU,2008,856642500.0\nGermany,DEU,2009,789983940.0\nGermany,DEU,2010,826704700.0\nGermany,DEU,2011,804541600.0\nGermany,DEU,2012,814093000.0\nGermany,DEU,2013,831745540.0\nGermany,DEU,2014,792583600.0\nGermany,DEU,2015,800822500.0\nGermany,DEU,2016,797988300.0\nGermany,DEU,2017,784595140.0\nGermany,DEU,2018,758771400.0\nGermany,DEU,2019,708648960.0\nGermany,DEU,2020,647176800.0\nGermany,DEU,2021,677997700.0\nGermany,DEU,2022,667843000.0\nGermany,DEU,2023,593766000.0\nGermany,DEU,2024,572319170.0\n```\n\nWas annual co\u2082 emissions in Germany higher in 1991 or 2022?","response":"Higher in 1991. The chart gives 1,016,929,540 t for 1991 and 667,843,000 t for 2022, a difference of 349,086,540 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nGermany,DEU,1990,1054795900.0\nGermany,DEU,1991,1016929540.0\nGermany,DEU,1992,969464450.0\nGermany,DEU,1993,959385860.0\nGermany,DEU,1994,943227650.0\nGermany,DEU,1995,939933600.0\nGermany,DEU,1996,959690100.0\nGermany,DEU,1997,931508100.0\nGermany,DEU,1998,923498700.0\nGermany,DEU,1999,895442050.0\nGermany,DEU,2000,898975740.0\nGermany,DEU,2001,915254800.0\nGermany,DEU,2002,898834300.0\nGermany,DEU,2003,894501100.0\nGermany,DEU,2004,876569860.0\nGermany,DEU,2005,867880500.0\nGermany,DEU,2006,886434300.0\nGermany,DEU,2007,846152960.0\nGermany,DEU,2008,856642500.0\nGermany,DEU,2009,789983940.0\nGermany,DEU,2010,826704700.0\nGermany,DEU,2011,804541600.0\nGermany,DEU,2012,814093000.0\nGermany,DEU,2013,831745540.0\nGermany,DEU,2014,792583600.0\nGermany,DEU,2015,800822500.0\nGermany,DEU,2016,797988300.0\nGermany,DEU,2017,784595140.0\nGermany,DEU,2018,758771400.0\nGermany,DEU,2019,708648960.0\nGermany,DEU,2020,647176800.0\nGermany,DEU,2021,677997700.0\nGermany,DEU,2022,667843000.0\nGermany,DEU,2023,593766000.0\nGermany,DEU,2024,572319170.0\n```\n\nAccording to this chart, what was annual co\u2082 emissions in Germany in 2021?","response":"Reading the plotted point for 2021, annual co\u2082 emissions in Germany was 677,997,700 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nGermany,DEU,1990,1054795900.0\nGermany,DEU,1991,1016929540.0\nGermany,DEU,1992,969464450.0\nGermany,DEU,1993,959385860.0\nGermany,DEU,1994,943227650.0\nGermany,DEU,1995,939933600.0\nGermany,DEU,1996,959690100.0\nGermany,DEU,1997,931508100.0\nGermany,DEU,1998,923498700.0\nGermany,DEU,1999,895442050.0\nGermany,DEU,2000,898975740.0\nGermany,DEU,2001,915254800.0\nGermany,DEU,2002,898834300.0\nGermany,DEU,2003,894501100.0\nGermany,DEU,2004,876569860.0\nGermany,DEU,2005,867880500.0\nGermany,DEU,2006,886434300.0\nGermany,DEU,2007,846152960.0\nGermany,DEU,2008,856642500.0\nGermany,DEU,2009,789983940.0\nGermany,DEU,2010,826704700.0\nGermany,DEU,2011,804541600.0\nGermany,DEU,2012,814093000.0\nGermany,DEU,2013,831745540.0\nGermany,DEU,2014,792583600.0\nGermany,DEU,2015,800822500.0\nGermany,DEU,2016,797988300.0\nGermany,DEU,2017,784595140.0\nGermany,DEU,2018,758771400.0\nGermany,DEU,2019,708648960.0\nGermany,DEU,2020,647176800.0\nGermany,DEU,2021,677997700.0\nGermany,DEU,2022,667843000.0\nGermany,DEU,2023,593766000.0\nGermany,DEU,2024,572319170.0\n```\n\nIn which year shown does annual co\u2082 emissions reach its highest value for Germany?","response":"The series peaks in 1990, at 1,054,795,900 t. The lowest point shown is 2024, at 572,319,170 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nGermany,DEU,1990,1054795900.0\nGermany,DEU,1991,1016929540.0\nGermany,DEU,1992,969464450.0\nGermany,DEU,1993,959385860.0\nGermany,DEU,1994,943227650.0\nGermany,DEU,1995,939933600.0\nGermany,DEU,1996,959690100.0\nGermany,DEU,1997,931508100.0\nGermany,DEU,1998,923498700.0\nGermany,DEU,1999,895442050.0\nGermany,DEU,2000,898975740.0\nGermany,DEU,2001,915254800.0\nGermany,DEU,2002,898834300.0\nGermany,DEU,2003,894501100.0\nGermany,DEU,2004,876569860.0\nGermany,DEU,2005,867880500.0\nGermany,DEU,2006,886434300.0\nGermany,DEU,2007,846152960.0\nGermany,DEU,2008,856642500.0\nGermany,DEU,2009,789983940.0\nGermany,DEU,2010,826704700.0\nGermany,DEU,2011,804541600.0\nGermany,DEU,2012,814093000.0\nGermany,DEU,2013,831745540.0\nGermany,DEU,2014,792583600.0\nGermany,DEU,2015,800822500.0\nGermany,DEU,2016,797988300.0\nGermany,DEU,2017,784595140.0\nGermany,DEU,2018,758771400.0\nGermany,DEU,2019,708648960.0\nGermany,DEU,2020,647176800.0\nGermany,DEU,2021,677997700.0\nGermany,DEU,2022,667843000.0\nGermany,DEU,2023,593766000.0\nGermany,DEU,2024,572319170.0\n```\n\nHow much did annual co\u2082 emissions change for Germany between 1990 and 2024?","response":"It moved from 1,054,795,900 t in 1990 to 572,319,170 t in 2024, a change of -482,476,730 t (-45.74%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nGermany,DEU,1990,1054795900.0\nGermany,DEU,1991,1016929540.0\nGermany,DEU,1992,969464450.0\nGermany,DEU,1993,959385860.0\nGermany,DEU,1994,943227650.0\nGermany,DEU,1995,939933600.0\nGermany,DEU,1996,959690100.0\nGermany,DEU,1997,931508100.0\nGermany,DEU,1998,923498700.0\nGermany,DEU,1999,895442050.0\nGermany,DEU,2000,898975740.0\nGermany,DEU,2001,915254800.0\nGermany,DEU,2002,898834300.0\nGermany,DEU,2003,894501100.0\nGermany,DEU,2004,876569860.0\nGermany,DEU,2005,867880500.0\nGermany,DEU,2006,886434300.0\nGermany,DEU,2007,846152960.0\nGermany,DEU,2008,856642500.0\nGermany,DEU,2009,789983940.0\nGermany,DEU,2010,826704700.0\nGermany,DEU,2011,804541600.0\nGermany,DEU,2012,814093000.0\nGermany,DEU,2013,831745540.0\nGermany,DEU,2014,792583600.0\nGermany,DEU,2015,800822500.0\nGermany,DEU,2016,797988300.0\nGermany,DEU,2017,784595140.0\nGermany,DEU,2018,758771400.0\nGermany,DEU,2019,708648960.0\nGermany,DEU,2020,647176800.0\nGermany,DEU,2021,677997700.0\nGermany,DEU,2022,667843000.0\nGermany,DEU,2023,593766000.0\nGermany,DEU,2024,572319170.0\n```\n\nWas annual co\u2082 emissions in Germany higher in 1991 or 2022?","response":"Higher in 1991. The chart gives 1,016,929,540 t for 1991 and 667,843,000 t for 2022, a difference of 349,086,540 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nGermany,DEU,1990,1054795900.0\nGermany,DEU,1991,1016929540.0\nGermany,DEU,1992,969464450.0\nGermany,DEU,1993,959385860.0\nGermany,DEU,1994,943227650.0\nGermany,DEU,1995,939933600.0\nGermany,DEU,1996,959690100.0\nGermany,DEU,1997,931508100.0\nGermany,DEU,1998,923498700.0\nGermany,DEU,1999,895442050.0\nGermany,DEU,2000,898975740.0\nGermany,DEU,2001,915254800.0\nGermany,DEU,2002,898834300.0\nGermany,DEU,2003,894501100.0\nGermany,DEU,2004,876569860.0\nGermany,DEU,2005,867880500.0\nGermany,DEU,2006,886434300.0\nGermany,DEU,2007,846152960.0\nGermany,DEU,2008,856642500.0\nGermany,DEU,2009,789983940.0\nGermany,DEU,2010,826704700.0\nGermany,DEU,2011,804541600.0\nGermany,DEU,2012,814093000.0\nGermany,DEU,2013,831745540.0\nGermany,DEU,2014,792583600.0\nGermany,DEU,2015,800822500.0\nGermany,DEU,2016,797988300.0\nGermany,DEU,2017,784595140.0\nGermany,DEU,2018,758771400.0\nGermany,DEU,2019,708648960.0\nGermany,DEU,2020,647176800.0\nGermany,DEU,2021,677997700.0\nGermany,DEU,2022,667843000.0\nGermany,DEU,2023,593766000.0\nGermany,DEU,2024,572319170.0\n```\n\nBased on this chart, is annual co\u2082 emissions in Germany rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 1,054,795,900 t to 572,319,170 t, a change of -45.74%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nGermany,DEU,1990,1054795900.0\nGermany,DEU,1991,1016929540.0\nGermany,DEU,1992,969464450.0\nGermany,DEU,1993,959385860.0\nGermany,DEU,1994,943227650.0\nGermany,DEU,1995,939933600.0\nGermany,DEU,1996,959690100.0\nGermany,DEU,1997,931508100.0\nGermany,DEU,1998,923498700.0\nGermany,DEU,1999,895442050.0\nGermany,DEU,2000,898975740.0\nGermany,DEU,2001,915254800.0\nGermany,DEU,2002,898834300.0\nGermany,DEU,2003,894501100.0\nGermany,DEU,2004,876569860.0\nGermany,DEU,2005,867880500.0\nGermany,DEU,2006,886434300.0\nGermany,DEU,2007,846152960.0\nGermany,DEU,2008,856642500.0\nGermany,DEU,2009,789983940.0\nGermany,DEU,2010,826704700.0\nGermany,DEU,2011,804541600.0\nGermany,DEU,2012,814093000.0\nGermany,DEU,2013,831745540.0\nGermany,DEU,2014,792583600.0\nGermany,DEU,2015,800822500.0\nGermany,DEU,2016,797988300.0\nGermany,DEU,2017,784595140.0\nGermany,DEU,2018,758771400.0\nGermany,DEU,2019,708648960.0\nGermany,DEU,2020,647176800.0\nGermany,DEU,2021,677997700.0\nGermany,DEU,2022,667843000.0\nGermany,DEU,2023,593766000.0\nGermany,DEU,2024,572319170.0\n```\n\nThis chart makes the change in annual co\u2082 emissions for Germany look dramatic. Is it?","response":"The values change by -45.74%, from 1,054,795,900 t to 572,319,170 t. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nGermany,DEU,1990,1054795900.0\nGermany,DEU,1991,1016929540.0\nGermany,DEU,1992,969464450.0\nGermany,DEU,1993,959385860.0\nGermany,DEU,1994,943227650.0\nGermany,DEU,1995,939933600.0\nGermany,DEU,1996,959690100.0\nGermany,DEU,1997,931508100.0\nGermany,DEU,1998,923498700.0\nGermany,DEU,1999,895442050.0\nGermany,DEU,2000,898975740.0\nGermany,DEU,2001,915254800.0\nGermany,DEU,2002,898834300.0\nGermany,DEU,2003,894501100.0\nGermany,DEU,2004,876569860.0\nGermany,DEU,2005,867880500.0\nGermany,DEU,2006,886434300.0\nGermany,DEU,2007,846152960.0\nGermany,DEU,2008,856642500.0\nGermany,DEU,2009,789983940.0\nGermany,DEU,2010,826704700.0\nGermany,DEU,2011,804541600.0\nGermany,DEU,2012,814093000.0\nGermany,DEU,2013,831745540.0\nGermany,DEU,2014,792583600.0\nGermany,DEU,2015,800822500.0\nGermany,DEU,2016,797988300.0\nGermany,DEU,2017,784595140.0\nGermany,DEU,2018,758771400.0\nGermany,DEU,2019,708648960.0\nGermany,DEU,2020,647176800.0\nGermany,DEU,2021,677997700.0\nGermany,DEU,2022,667843000.0\nGermany,DEU,2023,593766000.0\nGermany,DEU,2024,572319170.0\n```\n\nWhat was annual co\u2082 emissions for Germany in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 1,054,795,900 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Germany__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nIndonesia,IDN,1990,154990690.0\nIndonesia,IDN,1991,174754220.0\nIndonesia,IDN,1992,199298020.0\nIndonesia,IDN,1993,214962850.0\nIndonesia,IDN,1994,219199950.0\nIndonesia,IDN,1995,222225300.0\nIndonesia,IDN,1996,252855740.0\nIndonesia,IDN,1997,279695600.0\nIndonesia,IDN,1998,244315330.0\nIndonesia,IDN,1999,291770660.0\nIndonesia,IDN,2000,281054430.0\nIndonesia,IDN,2001,316759360.0\nIndonesia,IDN,2002,308201300.0\nIndonesia,IDN,2003,339023900.0\nIndonesia,IDN,2004,342708600.0\nIndonesia,IDN,2005,347361280.0\nIndonesia,IDN,2006,346365760.0\nIndonesia,IDN,2007,387577250.0\nIndonesia,IDN,2008,365384030.0\nIndonesia,IDN,2009,398624420.0\nIndonesia,IDN,2010,445370080.0\nIndonesia,IDN,2011,500457660.0\nIndonesia,IDN,2012,515769600.0\nIndonesia,IDN,2013,493435140.0\nIndonesia,IDN,2014,498028800.0\nIndonesia,IDN,2015,551160060.0\nIndonesia,IDN,2016,547968900.0\nIndonesia,IDN,2017,570928200.0\nIndonesia,IDN,2018,607378370.0\nIndonesia,IDN,2019,665049340.0\nIndonesia,IDN,2020,623304000.0\nIndonesia,IDN,2021,632946050.0\nIndonesia,IDN,2022,758020500.0\nIndonesia,IDN,2023,762357570.0\nIndonesia,IDN,2024,812220200.0\n```\n\nAccording to this chart, what was annual co\u2082 emissions in Indonesia in 1994?","response":"Reading the plotted point for 1994, annual co\u2082 emissions in Indonesia was 219,199,950 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nIndonesia,IDN,1990,154990690.0\nIndonesia,IDN,1991,174754220.0\nIndonesia,IDN,1992,199298020.0\nIndonesia,IDN,1993,214962850.0\nIndonesia,IDN,1994,219199950.0\nIndonesia,IDN,1995,222225300.0\nIndonesia,IDN,1996,252855740.0\nIndonesia,IDN,1997,279695600.0\nIndonesia,IDN,1998,244315330.0\nIndonesia,IDN,1999,291770660.0\nIndonesia,IDN,2000,281054430.0\nIndonesia,IDN,2001,316759360.0\nIndonesia,IDN,2002,308201300.0\nIndonesia,IDN,2003,339023900.0\nIndonesia,IDN,2004,342708600.0\nIndonesia,IDN,2005,347361280.0\nIndonesia,IDN,2006,346365760.0\nIndonesia,IDN,2007,387577250.0\nIndonesia,IDN,2008,365384030.0\nIndonesia,IDN,2009,398624420.0\nIndonesia,IDN,2010,445370080.0\nIndonesia,IDN,2011,500457660.0\nIndonesia,IDN,2012,515769600.0\nIndonesia,IDN,2013,493435140.0\nIndonesia,IDN,2014,498028800.0\nIndonesia,IDN,2015,551160060.0\nIndonesia,IDN,2016,547968900.0\nIndonesia,IDN,2017,570928200.0\nIndonesia,IDN,2018,607378370.0\nIndonesia,IDN,2019,665049340.0\nIndonesia,IDN,2020,623304000.0\nIndonesia,IDN,2021,632946050.0\nIndonesia,IDN,2022,758020500.0\nIndonesia,IDN,2023,762357570.0\nIndonesia,IDN,2024,812220200.0\n```\n\nIn which year shown does annual co\u2082 emissions reach its highest value for Indonesia?","response":"The series peaks in 2024, at 812,220,200 t. The lowest point shown is 1990, at 154,990,690 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nIndonesia,IDN,1990,154990690.0\nIndonesia,IDN,1991,174754220.0\nIndonesia,IDN,1992,199298020.0\nIndonesia,IDN,1993,214962850.0\nIndonesia,IDN,1994,219199950.0\nIndonesia,IDN,1995,222225300.0\nIndonesia,IDN,1996,252855740.0\nIndonesia,IDN,1997,279695600.0\nIndonesia,IDN,1998,244315330.0\nIndonesia,IDN,1999,291770660.0\nIndonesia,IDN,2000,281054430.0\nIndonesia,IDN,2001,316759360.0\nIndonesia,IDN,2002,308201300.0\nIndonesia,IDN,2003,339023900.0\nIndonesia,IDN,2004,342708600.0\nIndonesia,IDN,2005,347361280.0\nIndonesia,IDN,2006,346365760.0\nIndonesia,IDN,2007,387577250.0\nIndonesia,IDN,2008,365384030.0\nIndonesia,IDN,2009,398624420.0\nIndonesia,IDN,2010,445370080.0\nIndonesia,IDN,2011,500457660.0\nIndonesia,IDN,2012,515769600.0\nIndonesia,IDN,2013,493435140.0\nIndonesia,IDN,2014,498028800.0\nIndonesia,IDN,2015,551160060.0\nIndonesia,IDN,2016,547968900.0\nIndonesia,IDN,2017,570928200.0\nIndonesia,IDN,2018,607378370.0\nIndonesia,IDN,2019,665049340.0\nIndonesia,IDN,2020,623304000.0\nIndonesia,IDN,2021,632946050.0\nIndonesia,IDN,2022,758020500.0\nIndonesia,IDN,2023,762357570.0\nIndonesia,IDN,2024,812220200.0\n```\n\nHow much did annual co\u2082 emissions change for Indonesia between 1990 and 2024?","response":"It moved from 154,990,690 t in 1990 to 812,220,200 t in 2024, a change of 657,229,510 t (+424.04%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nIndonesia,IDN,1990,154990690.0\nIndonesia,IDN,1991,174754220.0\nIndonesia,IDN,1992,199298020.0\nIndonesia,IDN,1993,214962850.0\nIndonesia,IDN,1994,219199950.0\nIndonesia,IDN,1995,222225300.0\nIndonesia,IDN,1996,252855740.0\nIndonesia,IDN,1997,279695600.0\nIndonesia,IDN,1998,244315330.0\nIndonesia,IDN,1999,291770660.0\nIndonesia,IDN,2000,281054430.0\nIndonesia,IDN,2001,316759360.0\nIndonesia,IDN,2002,308201300.0\nIndonesia,IDN,2003,339023900.0\nIndonesia,IDN,2004,342708600.0\nIndonesia,IDN,2005,347361280.0\nIndonesia,IDN,2006,346365760.0\nIndonesia,IDN,2007,387577250.0\nIndonesia,IDN,2008,365384030.0\nIndonesia,IDN,2009,398624420.0\nIndonesia,IDN,2010,445370080.0\nIndonesia,IDN,2011,500457660.0\nIndonesia,IDN,2012,515769600.0\nIndonesia,IDN,2013,493435140.0\nIndonesia,IDN,2014,498028800.0\nIndonesia,IDN,2015,551160060.0\nIndonesia,IDN,2016,547968900.0\nIndonesia,IDN,2017,570928200.0\nIndonesia,IDN,2018,607378370.0\nIndonesia,IDN,2019,665049340.0\nIndonesia,IDN,2020,623304000.0\nIndonesia,IDN,2021,632946050.0\nIndonesia,IDN,2022,758020500.0\nIndonesia,IDN,2023,762357570.0\nIndonesia,IDN,2024,812220200.0\n```\n\nWas annual co\u2082 emissions in Indonesia higher in 1996 or 2019?","response":"Higher in 2019. The chart gives 252,855,740 t for 1996 and 665,049,340 t for 2019, a difference of 412,193,600 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nIndonesia,IDN,1990,154990690.0\nIndonesia,IDN,1991,174754220.0\nIndonesia,IDN,1992,199298020.0\nIndonesia,IDN,1993,214962850.0\nIndonesia,IDN,1994,219199950.0\nIndonesia,IDN,1995,222225300.0\nIndonesia,IDN,1996,252855740.0\nIndonesia,IDN,1997,279695600.0\nIndonesia,IDN,1998,244315330.0\nIndonesia,IDN,1999,291770660.0\nIndonesia,IDN,2000,281054430.0\nIndonesia,IDN,2001,316759360.0\nIndonesia,IDN,2002,308201300.0\nIndonesia,IDN,2003,339023900.0\nIndonesia,IDN,2004,342708600.0\nIndonesia,IDN,2005,347361280.0\nIndonesia,IDN,2006,346365760.0\nIndonesia,IDN,2007,387577250.0\nIndonesia,IDN,2008,365384030.0\nIndonesia,IDN,2009,398624420.0\nIndonesia,IDN,2010,445370080.0\nIndonesia,IDN,2011,500457660.0\nIndonesia,IDN,2012,515769600.0\nIndonesia,IDN,2013,493435140.0\nIndonesia,IDN,2014,498028800.0\nIndonesia,IDN,2015,551160060.0\nIndonesia,IDN,2016,547968900.0\nIndonesia,IDN,2017,570928200.0\nIndonesia,IDN,2018,607378370.0\nIndonesia,IDN,2019,665049340.0\nIndonesia,IDN,2020,623304000.0\nIndonesia,IDN,2021,632946050.0\nIndonesia,IDN,2022,758020500.0\nIndonesia,IDN,2023,762357570.0\nIndonesia,IDN,2024,812220200.0\n```\n\nAccording to this chart, what was annual co\u2082 emissions in Indonesia in 1994?","response":"Reading the plotted point for 1994, annual co\u2082 emissions in Indonesia was 219,199,950 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nIndonesia,IDN,1990,154990690.0\nIndonesia,IDN,1991,174754220.0\nIndonesia,IDN,1992,199298020.0\nIndonesia,IDN,1993,214962850.0\nIndonesia,IDN,1994,219199950.0\nIndonesia,IDN,1995,222225300.0\nIndonesia,IDN,1996,252855740.0\nIndonesia,IDN,1997,279695600.0\nIndonesia,IDN,1998,244315330.0\nIndonesia,IDN,1999,291770660.0\nIndonesia,IDN,2000,281054430.0\nIndonesia,IDN,2001,316759360.0\nIndonesia,IDN,2002,308201300.0\nIndonesia,IDN,2003,339023900.0\nIndonesia,IDN,2004,342708600.0\nIndonesia,IDN,2005,347361280.0\nIndonesia,IDN,2006,346365760.0\nIndonesia,IDN,2007,387577250.0\nIndonesia,IDN,2008,365384030.0\nIndonesia,IDN,2009,398624420.0\nIndonesia,IDN,2010,445370080.0\nIndonesia,IDN,2011,500457660.0\nIndonesia,IDN,2012,515769600.0\nIndonesia,IDN,2013,493435140.0\nIndonesia,IDN,2014,498028800.0\nIndonesia,IDN,2015,551160060.0\nIndonesia,IDN,2016,547968900.0\nIndonesia,IDN,2017,570928200.0\nIndonesia,IDN,2018,607378370.0\nIndonesia,IDN,2019,665049340.0\nIndonesia,IDN,2020,623304000.0\nIndonesia,IDN,2021,632946050.0\nIndonesia,IDN,2022,758020500.0\nIndonesia,IDN,2023,762357570.0\nIndonesia,IDN,2024,812220200.0\n```\n\nIn which year shown does annual co\u2082 emissions reach its highest value for Indonesia?","response":"The series peaks in 2024, at 812,220,200 t. The lowest point shown is 1990, at 154,990,690 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nIndonesia,IDN,1990,154990690.0\nIndonesia,IDN,1991,174754220.0\nIndonesia,IDN,1992,199298020.0\nIndonesia,IDN,1993,214962850.0\nIndonesia,IDN,1994,219199950.0\nIndonesia,IDN,1995,222225300.0\nIndonesia,IDN,1996,252855740.0\nIndonesia,IDN,1997,279695600.0\nIndonesia,IDN,1998,244315330.0\nIndonesia,IDN,1999,291770660.0\nIndonesia,IDN,2000,281054430.0\nIndonesia,IDN,2001,316759360.0\nIndonesia,IDN,2002,308201300.0\nIndonesia,IDN,2003,339023900.0\nIndonesia,IDN,2004,342708600.0\nIndonesia,IDN,2005,347361280.0\nIndonesia,IDN,2006,346365760.0\nIndonesia,IDN,2007,387577250.0\nIndonesia,IDN,2008,365384030.0\nIndonesia,IDN,2009,398624420.0\nIndonesia,IDN,2010,445370080.0\nIndonesia,IDN,2011,500457660.0\nIndonesia,IDN,2012,515769600.0\nIndonesia,IDN,2013,493435140.0\nIndonesia,IDN,2014,498028800.0\nIndonesia,IDN,2015,551160060.0\nIndonesia,IDN,2016,547968900.0\nIndonesia,IDN,2017,570928200.0\nIndonesia,IDN,2018,607378370.0\nIndonesia,IDN,2019,665049340.0\nIndonesia,IDN,2020,623304000.0\nIndonesia,IDN,2021,632946050.0\nIndonesia,IDN,2022,758020500.0\nIndonesia,IDN,2023,762357570.0\nIndonesia,IDN,2024,812220200.0\n```\n\nHow much did annual co\u2082 emissions change for Indonesia between 1990 and 2024?","response":"It moved from 154,990,690 t in 1990 to 812,220,200 t in 2024, a change of 657,229,510 t (+424.04%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nIndonesia,IDN,1990,154990690.0\nIndonesia,IDN,1991,174754220.0\nIndonesia,IDN,1992,199298020.0\nIndonesia,IDN,1993,214962850.0\nIndonesia,IDN,1994,219199950.0\nIndonesia,IDN,1995,222225300.0\nIndonesia,IDN,1996,252855740.0\nIndonesia,IDN,1997,279695600.0\nIndonesia,IDN,1998,244315330.0\nIndonesia,IDN,1999,291770660.0\nIndonesia,IDN,2000,281054430.0\nIndonesia,IDN,2001,316759360.0\nIndonesia,IDN,2002,308201300.0\nIndonesia,IDN,2003,339023900.0\nIndonesia,IDN,2004,342708600.0\nIndonesia,IDN,2005,347361280.0\nIndonesia,IDN,2006,346365760.0\nIndonesia,IDN,2007,387577250.0\nIndonesia,IDN,2008,365384030.0\nIndonesia,IDN,2009,398624420.0\nIndonesia,IDN,2010,445370080.0\nIndonesia,IDN,2011,500457660.0\nIndonesia,IDN,2012,515769600.0\nIndonesia,IDN,2013,493435140.0\nIndonesia,IDN,2014,498028800.0\nIndonesia,IDN,2015,551160060.0\nIndonesia,IDN,2016,547968900.0\nIndonesia,IDN,2017,570928200.0\nIndonesia,IDN,2018,607378370.0\nIndonesia,IDN,2019,665049340.0\nIndonesia,IDN,2020,623304000.0\nIndonesia,IDN,2021,632946050.0\nIndonesia,IDN,2022,758020500.0\nIndonesia,IDN,2023,762357570.0\nIndonesia,IDN,2024,812220200.0\n```\n\nWas annual co\u2082 emissions in Indonesia higher in 1996 or 2019?","response":"Higher in 2019. The chart gives 252,855,740 t for 1996 and 665,049,340 t for 2019, a difference of 412,193,600 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nIndonesia,IDN,1990,154990690.0\nIndonesia,IDN,1991,174754220.0\nIndonesia,IDN,1992,199298020.0\nIndonesia,IDN,1993,214962850.0\nIndonesia,IDN,1994,219199950.0\nIndonesia,IDN,1995,222225300.0\nIndonesia,IDN,1996,252855740.0\nIndonesia,IDN,1997,279695600.0\nIndonesia,IDN,1998,244315330.0\nIndonesia,IDN,1999,291770660.0\nIndonesia,IDN,2000,281054430.0\nIndonesia,IDN,2001,316759360.0\nIndonesia,IDN,2002,308201300.0\nIndonesia,IDN,2003,339023900.0\nIndonesia,IDN,2004,342708600.0\nIndonesia,IDN,2005,347361280.0\nIndonesia,IDN,2006,346365760.0\nIndonesia,IDN,2007,387577250.0\nIndonesia,IDN,2008,365384030.0\nIndonesia,IDN,2009,398624420.0\nIndonesia,IDN,2010,445370080.0\nIndonesia,IDN,2011,500457660.0\nIndonesia,IDN,2012,515769600.0\nIndonesia,IDN,2013,493435140.0\nIndonesia,IDN,2014,498028800.0\nIndonesia,IDN,2015,551160060.0\nIndonesia,IDN,2016,547968900.0\nIndonesia,IDN,2017,570928200.0\nIndonesia,IDN,2018,607378370.0\nIndonesia,IDN,2019,665049340.0\nIndonesia,IDN,2020,623304000.0\nIndonesia,IDN,2021,632946050.0\nIndonesia,IDN,2022,758020500.0\nIndonesia,IDN,2023,762357570.0\nIndonesia,IDN,2024,812220200.0\n```\n\nBased on this chart, is annual co\u2082 emissions in Indonesia rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 154,990,690 t to 812,220,200 t, a change of +424.04%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nIndonesia,IDN,1990,154990690.0\nIndonesia,IDN,1991,174754220.0\nIndonesia,IDN,1992,199298020.0\nIndonesia,IDN,1993,214962850.0\nIndonesia,IDN,1994,219199950.0\nIndonesia,IDN,1995,222225300.0\nIndonesia,IDN,1996,252855740.0\nIndonesia,IDN,1997,279695600.0\nIndonesia,IDN,1998,244315330.0\nIndonesia,IDN,1999,291770660.0\nIndonesia,IDN,2000,281054430.0\nIndonesia,IDN,2001,316759360.0\nIndonesia,IDN,2002,308201300.0\nIndonesia,IDN,2003,339023900.0\nIndonesia,IDN,2004,342708600.0\nIndonesia,IDN,2005,347361280.0\nIndonesia,IDN,2006,346365760.0\nIndonesia,IDN,2007,387577250.0\nIndonesia,IDN,2008,365384030.0\nIndonesia,IDN,2009,398624420.0\nIndonesia,IDN,2010,445370080.0\nIndonesia,IDN,2011,500457660.0\nIndonesia,IDN,2012,515769600.0\nIndonesia,IDN,2013,493435140.0\nIndonesia,IDN,2014,498028800.0\nIndonesia,IDN,2015,551160060.0\nIndonesia,IDN,2016,547968900.0\nIndonesia,IDN,2017,570928200.0\nIndonesia,IDN,2018,607378370.0\nIndonesia,IDN,2019,665049340.0\nIndonesia,IDN,2020,623304000.0\nIndonesia,IDN,2021,632946050.0\nIndonesia,IDN,2022,758020500.0\nIndonesia,IDN,2023,762357570.0\nIndonesia,IDN,2024,812220200.0\n```\n\nThis chart makes the change in annual co\u2082 emissions for Indonesia look dramatic. Is it?","response":"The values change by +424.04%, from 154,990,690 t to 812,220,200 t. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nIndonesia,IDN,1990,154990690.0\nIndonesia,IDN,1991,174754220.0\nIndonesia,IDN,1992,199298020.0\nIndonesia,IDN,1993,214962850.0\nIndonesia,IDN,1994,219199950.0\nIndonesia,IDN,1995,222225300.0\nIndonesia,IDN,1996,252855740.0\nIndonesia,IDN,1997,279695600.0\nIndonesia,IDN,1998,244315330.0\nIndonesia,IDN,1999,291770660.0\nIndonesia,IDN,2000,281054430.0\nIndonesia,IDN,2001,316759360.0\nIndonesia,IDN,2002,308201300.0\nIndonesia,IDN,2003,339023900.0\nIndonesia,IDN,2004,342708600.0\nIndonesia,IDN,2005,347361280.0\nIndonesia,IDN,2006,346365760.0\nIndonesia,IDN,2007,387577250.0\nIndonesia,IDN,2008,365384030.0\nIndonesia,IDN,2009,398624420.0\nIndonesia,IDN,2010,445370080.0\nIndonesia,IDN,2011,500457660.0\nIndonesia,IDN,2012,515769600.0\nIndonesia,IDN,2013,493435140.0\nIndonesia,IDN,2014,498028800.0\nIndonesia,IDN,2015,551160060.0\nIndonesia,IDN,2016,547968900.0\nIndonesia,IDN,2017,570928200.0\nIndonesia,IDN,2018,607378370.0\nIndonesia,IDN,2019,665049340.0\nIndonesia,IDN,2020,623304000.0\nIndonesia,IDN,2021,632946050.0\nIndonesia,IDN,2022,758020500.0\nIndonesia,IDN,2023,762357570.0\nIndonesia,IDN,2024,812220200.0\n```\n\nWhat was annual co\u2082 emissions for Indonesia in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 154,990,690 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Indonesia__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nKenya,KEN,1990,5788842.0\nKenya,KEN,1991,4804756.0\nKenya,KEN,1992,5504709.0\nKenya,KEN,1993,6311647.0\nKenya,KEN,1994,6522694.0\nKenya,KEN,1995,7515300.0\nKenya,KEN,1996,9283094.0\nKenya,KEN,1997,8226742.0\nKenya,KEN,1998,9998502.0\nKenya,KEN,1999,10020533.0\nKenya,KEN,2000,10384895.0\nKenya,KEN,2001,9223600.0\nKenya,KEN,2002,7819113.0\nKenya,KEN,2003,6716151.0\nKenya,KEN,2004,7621342.0\nKenya,KEN,2005,8454166.0\nKenya,KEN,2006,9566836.0\nKenya,KEN,2007,9734023.0\nKenya,KEN,2008,10098609.0\nKenya,KEN,2009,12184812.0\nKenya,KEN,2010,11856819.0\nKenya,KEN,2011,12217645.0\nKenya,KEN,2012,11245819.0\nKenya,KEN,2013,12162930.0\nKenya,KEN,2014,13214406.0\nKenya,KEN,2015,15212208.0\nKenya,KEN,2016,16288698.0\nKenya,KEN,2017,16181103.0\nKenya,KEN,2018,17002858.0\nKenya,KEN,2019,18158882.0\nKenya,KEN,2020,19989572.0\nKenya,KEN,2021,20589818.0\nKenya,KEN,2022,20544366.0\nKenya,KEN,2023,21185722.0\nKenya,KEN,2024,21225434.0\n```\n\nAccording to this chart, what was annual co\u2082 emissions in Kenya in 1998?","response":"Reading the plotted point for 1998, annual co\u2082 emissions in Kenya was 9,998,502 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nKenya,KEN,1990,5788842.0\nKenya,KEN,1991,4804756.0\nKenya,KEN,1992,5504709.0\nKenya,KEN,1993,6311647.0\nKenya,KEN,1994,6522694.0\nKenya,KEN,1995,7515300.0\nKenya,KEN,1996,9283094.0\nKenya,KEN,1997,8226742.0\nKenya,KEN,1998,9998502.0\nKenya,KEN,1999,10020533.0\nKenya,KEN,2000,10384895.0\nKenya,KEN,2001,9223600.0\nKenya,KEN,2002,7819113.0\nKenya,KEN,2003,6716151.0\nKenya,KEN,2004,7621342.0\nKenya,KEN,2005,8454166.0\nKenya,KEN,2006,9566836.0\nKenya,KEN,2007,9734023.0\nKenya,KEN,2008,10098609.0\nKenya,KEN,2009,12184812.0\nKenya,KEN,2010,11856819.0\nKenya,KEN,2011,12217645.0\nKenya,KEN,2012,11245819.0\nKenya,KEN,2013,12162930.0\nKenya,KEN,2014,13214406.0\nKenya,KEN,2015,15212208.0\nKenya,KEN,2016,16288698.0\nKenya,KEN,2017,16181103.0\nKenya,KEN,2018,17002858.0\nKenya,KEN,2019,18158882.0\nKenya,KEN,2020,19989572.0\nKenya,KEN,2021,20589818.0\nKenya,KEN,2022,20544366.0\nKenya,KEN,2023,21185722.0\nKenya,KEN,2024,21225434.0\n```\n\nIn which year shown does annual co\u2082 emissions reach its highest value for Kenya?","response":"The series peaks in 2024, at 21,225,434 t. The lowest point shown is 1991, at 4,804,756 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nKenya,KEN,1990,5788842.0\nKenya,KEN,1991,4804756.0\nKenya,KEN,1992,5504709.0\nKenya,KEN,1993,6311647.0\nKenya,KEN,1994,6522694.0\nKenya,KEN,1995,7515300.0\nKenya,KEN,1996,9283094.0\nKenya,KEN,1997,8226742.0\nKenya,KEN,1998,9998502.0\nKenya,KEN,1999,10020533.0\nKenya,KEN,2000,10384895.0\nKenya,KEN,2001,9223600.0\nKenya,KEN,2002,7819113.0\nKenya,KEN,2003,6716151.0\nKenya,KEN,2004,7621342.0\nKenya,KEN,2005,8454166.0\nKenya,KEN,2006,9566836.0\nKenya,KEN,2007,9734023.0\nKenya,KEN,2008,10098609.0\nKenya,KEN,2009,12184812.0\nKenya,KEN,2010,11856819.0\nKenya,KEN,2011,12217645.0\nKenya,KEN,2012,11245819.0\nKenya,KEN,2013,12162930.0\nKenya,KEN,2014,13214406.0\nKenya,KEN,2015,15212208.0\nKenya,KEN,2016,16288698.0\nKenya,KEN,2017,16181103.0\nKenya,KEN,2018,17002858.0\nKenya,KEN,2019,18158882.0\nKenya,KEN,2020,19989572.0\nKenya,KEN,2021,20589818.0\nKenya,KEN,2022,20544366.0\nKenya,KEN,2023,21185722.0\nKenya,KEN,2024,21225434.0\n```\n\nHow much did annual co\u2082 emissions change for Kenya between 1990 and 2024?","response":"It moved from 5,788,842 t in 1990 to 21,225,434 t in 2024, a change of 15,436,592 t (+266.66%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nKenya,KEN,1990,5788842.0\nKenya,KEN,1991,4804756.0\nKenya,KEN,1992,5504709.0\nKenya,KEN,1993,6311647.0\nKenya,KEN,1994,6522694.0\nKenya,KEN,1995,7515300.0\nKenya,KEN,1996,9283094.0\nKenya,KEN,1997,8226742.0\nKenya,KEN,1998,9998502.0\nKenya,KEN,1999,10020533.0\nKenya,KEN,2000,10384895.0\nKenya,KEN,2001,9223600.0\nKenya,KEN,2002,7819113.0\nKenya,KEN,2003,6716151.0\nKenya,KEN,2004,7621342.0\nKenya,KEN,2005,8454166.0\nKenya,KEN,2006,9566836.0\nKenya,KEN,2007,9734023.0\nKenya,KEN,2008,10098609.0\nKenya,KEN,2009,12184812.0\nKenya,KEN,2010,11856819.0\nKenya,KEN,2011,12217645.0\nKenya,KEN,2012,11245819.0\nKenya,KEN,2013,12162930.0\nKenya,KEN,2014,13214406.0\nKenya,KEN,2015,15212208.0\nKenya,KEN,2016,16288698.0\nKenya,KEN,2017,16181103.0\nKenya,KEN,2018,17002858.0\nKenya,KEN,2019,18158882.0\nKenya,KEN,2020,19989572.0\nKenya,KEN,2021,20589818.0\nKenya,KEN,2022,20544366.0\nKenya,KEN,2023,21185722.0\nKenya,KEN,2024,21225434.0\n```\n\nWas annual co\u2082 emissions in Kenya higher in 1996 or 2011?","response":"Higher in 2011. The chart gives 9,283,094 t for 1996 and 12,217,645 t for 2011, a difference of 2,934,551 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nKenya,KEN,1990,5788842.0\nKenya,KEN,1991,4804756.0\nKenya,KEN,1992,5504709.0\nKenya,KEN,1993,6311647.0\nKenya,KEN,1994,6522694.0\nKenya,KEN,1995,7515300.0\nKenya,KEN,1996,9283094.0\nKenya,KEN,1997,8226742.0\nKenya,KEN,1998,9998502.0\nKenya,KEN,1999,10020533.0\nKenya,KEN,2000,10384895.0\nKenya,KEN,2001,9223600.0\nKenya,KEN,2002,7819113.0\nKenya,KEN,2003,6716151.0\nKenya,KEN,2004,7621342.0\nKenya,KEN,2005,8454166.0\nKenya,KEN,2006,9566836.0\nKenya,KEN,2007,9734023.0\nKenya,KEN,2008,10098609.0\nKenya,KEN,2009,12184812.0\nKenya,KEN,2010,11856819.0\nKenya,KEN,2011,12217645.0\nKenya,KEN,2012,11245819.0\nKenya,KEN,2013,12162930.0\nKenya,KEN,2014,13214406.0\nKenya,KEN,2015,15212208.0\nKenya,KEN,2016,16288698.0\nKenya,KEN,2017,16181103.0\nKenya,KEN,2018,17002858.0\nKenya,KEN,2019,18158882.0\nKenya,KEN,2020,19989572.0\nKenya,KEN,2021,20589818.0\nKenya,KEN,2022,20544366.0\nKenya,KEN,2023,21185722.0\nKenya,KEN,2024,21225434.0\n```\n\nAccording to this chart, what was annual co\u2082 emissions in Kenya in 1998?","response":"Reading the plotted point for 1998, annual co\u2082 emissions in Kenya was 9,998,502 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nKenya,KEN,1990,5788842.0\nKenya,KEN,1991,4804756.0\nKenya,KEN,1992,5504709.0\nKenya,KEN,1993,6311647.0\nKenya,KEN,1994,6522694.0\nKenya,KEN,1995,7515300.0\nKenya,KEN,1996,9283094.0\nKenya,KEN,1997,8226742.0\nKenya,KEN,1998,9998502.0\nKenya,KEN,1999,10020533.0\nKenya,KEN,2000,10384895.0\nKenya,KEN,2001,9223600.0\nKenya,KEN,2002,7819113.0\nKenya,KEN,2003,6716151.0\nKenya,KEN,2004,7621342.0\nKenya,KEN,2005,8454166.0\nKenya,KEN,2006,9566836.0\nKenya,KEN,2007,9734023.0\nKenya,KEN,2008,10098609.0\nKenya,KEN,2009,12184812.0\nKenya,KEN,2010,11856819.0\nKenya,KEN,2011,12217645.0\nKenya,KEN,2012,11245819.0\nKenya,KEN,2013,12162930.0\nKenya,KEN,2014,13214406.0\nKenya,KEN,2015,15212208.0\nKenya,KEN,2016,16288698.0\nKenya,KEN,2017,16181103.0\nKenya,KEN,2018,17002858.0\nKenya,KEN,2019,18158882.0\nKenya,KEN,2020,19989572.0\nKenya,KEN,2021,20589818.0\nKenya,KEN,2022,20544366.0\nKenya,KEN,2023,21185722.0\nKenya,KEN,2024,21225434.0\n```\n\nIn which year shown does annual co\u2082 emissions reach its highest value for Kenya?","response":"The series peaks in 2024, at 21,225,434 t. The lowest point shown is 1991, at 4,804,756 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nKenya,KEN,1990,5788842.0\nKenya,KEN,1991,4804756.0\nKenya,KEN,1992,5504709.0\nKenya,KEN,1993,6311647.0\nKenya,KEN,1994,6522694.0\nKenya,KEN,1995,7515300.0\nKenya,KEN,1996,9283094.0\nKenya,KEN,1997,8226742.0\nKenya,KEN,1998,9998502.0\nKenya,KEN,1999,10020533.0\nKenya,KEN,2000,10384895.0\nKenya,KEN,2001,9223600.0\nKenya,KEN,2002,7819113.0\nKenya,KEN,2003,6716151.0\nKenya,KEN,2004,7621342.0\nKenya,KEN,2005,8454166.0\nKenya,KEN,2006,9566836.0\nKenya,KEN,2007,9734023.0\nKenya,KEN,2008,10098609.0\nKenya,KEN,2009,12184812.0\nKenya,KEN,2010,11856819.0\nKenya,KEN,2011,12217645.0\nKenya,KEN,2012,11245819.0\nKenya,KEN,2013,12162930.0\nKenya,KEN,2014,13214406.0\nKenya,KEN,2015,15212208.0\nKenya,KEN,2016,16288698.0\nKenya,KEN,2017,16181103.0\nKenya,KEN,2018,17002858.0\nKenya,KEN,2019,18158882.0\nKenya,KEN,2020,19989572.0\nKenya,KEN,2021,20589818.0\nKenya,KEN,2022,20544366.0\nKenya,KEN,2023,21185722.0\nKenya,KEN,2024,21225434.0\n```\n\nHow much did annual co\u2082 emissions change for Kenya between 1990 and 2024?","response":"It moved from 5,788,842 t in 1990 to 21,225,434 t in 2024, a change of 15,436,592 t (+266.66%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nKenya,KEN,1990,5788842.0\nKenya,KEN,1991,4804756.0\nKenya,KEN,1992,5504709.0\nKenya,KEN,1993,6311647.0\nKenya,KEN,1994,6522694.0\nKenya,KEN,1995,7515300.0\nKenya,KEN,1996,9283094.0\nKenya,KEN,1997,8226742.0\nKenya,KEN,1998,9998502.0\nKenya,KEN,1999,10020533.0\nKenya,KEN,2000,10384895.0\nKenya,KEN,2001,9223600.0\nKenya,KEN,2002,7819113.0\nKenya,KEN,2003,6716151.0\nKenya,KEN,2004,7621342.0\nKenya,KEN,2005,8454166.0\nKenya,KEN,2006,9566836.0\nKenya,KEN,2007,9734023.0\nKenya,KEN,2008,10098609.0\nKenya,KEN,2009,12184812.0\nKenya,KEN,2010,11856819.0\nKenya,KEN,2011,12217645.0\nKenya,KEN,2012,11245819.0\nKenya,KEN,2013,12162930.0\nKenya,KEN,2014,13214406.0\nKenya,KEN,2015,15212208.0\nKenya,KEN,2016,16288698.0\nKenya,KEN,2017,16181103.0\nKenya,KEN,2018,17002858.0\nKenya,KEN,2019,18158882.0\nKenya,KEN,2020,19989572.0\nKenya,KEN,2021,20589818.0\nKenya,KEN,2022,20544366.0\nKenya,KEN,2023,21185722.0\nKenya,KEN,2024,21225434.0\n```\n\nWas annual co\u2082 emissions in Kenya higher in 1996 or 2011?","response":"Higher in 2011. The chart gives 9,283,094 t for 1996 and 12,217,645 t for 2011, a difference of 2,934,551 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nKenya,KEN,1990,5788842.0\nKenya,KEN,1991,4804756.0\nKenya,KEN,1992,5504709.0\nKenya,KEN,1993,6311647.0\nKenya,KEN,1994,6522694.0\nKenya,KEN,1995,7515300.0\nKenya,KEN,1996,9283094.0\nKenya,KEN,1997,8226742.0\nKenya,KEN,1998,9998502.0\nKenya,KEN,1999,10020533.0\nKenya,KEN,2000,10384895.0\nKenya,KEN,2001,9223600.0\nKenya,KEN,2002,7819113.0\nKenya,KEN,2003,6716151.0\nKenya,KEN,2004,7621342.0\nKenya,KEN,2005,8454166.0\nKenya,KEN,2006,9566836.0\nKenya,KEN,2007,9734023.0\nKenya,KEN,2008,10098609.0\nKenya,KEN,2009,12184812.0\nKenya,KEN,2010,11856819.0\nKenya,KEN,2011,12217645.0\nKenya,KEN,2012,11245819.0\nKenya,KEN,2013,12162930.0\nKenya,KEN,2014,13214406.0\nKenya,KEN,2015,15212208.0\nKenya,KEN,2016,16288698.0\nKenya,KEN,2017,16181103.0\nKenya,KEN,2018,17002858.0\nKenya,KEN,2019,18158882.0\nKenya,KEN,2020,19989572.0\nKenya,KEN,2021,20589818.0\nKenya,KEN,2022,20544366.0\nKenya,KEN,2023,21185722.0\nKenya,KEN,2024,21225434.0\n```\n\nBased on this chart, is annual co\u2082 emissions in Kenya rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 5,788,842 t to 21,225,434 t, a change of +266.66%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nKenya,KEN,1996,9283094.0\nKenya,KEN,1997,8226742.0\nKenya,KEN,1998,9998502.0\nKenya,KEN,1999,10020533.0\nKenya,KEN,2000,10384895.0\nKenya,KEN,2001,9223600.0\nKenya,KEN,2002,7819113.0\nKenya,KEN,2003,6716151.0\nKenya,KEN,2004,7621342.0\n```\n\nWhat does this chart suggest about the long-run direction of annual co\u2082 emissions in Kenya?","response":"Within the window shown (1996-2004) the series moves -17.90%, but that window runs against the longer record. Across the full series (1990-2024) the change is +266.66%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nKenya,KEN,1990,5788842.0\nKenya,KEN,1991,4804756.0\nKenya,KEN,1992,5504709.0\nKenya,KEN,1993,6311647.0\nKenya,KEN,1994,6522694.0\nKenya,KEN,1995,7515300.0\nKenya,KEN,1996,9283094.0\nKenya,KEN,1997,8226742.0\nKenya,KEN,1998,9998502.0\nKenya,KEN,1999,10020533.0\nKenya,KEN,2000,10384895.0\nKenya,KEN,2001,9223600.0\nKenya,KEN,2002,7819113.0\nKenya,KEN,2003,6716151.0\nKenya,KEN,2004,7621342.0\nKenya,KEN,2005,8454166.0\nKenya,KEN,2006,9566836.0\nKenya,KEN,2007,9734023.0\nKenya,KEN,2008,10098609.0\nKenya,KEN,2009,12184812.0\nKenya,KEN,2010,11856819.0\nKenya,KEN,2011,12217645.0\nKenya,KEN,2012,11245819.0\nKenya,KEN,2013,12162930.0\nKenya,KEN,2014,13214406.0\nKenya,KEN,2015,15212208.0\nKenya,KEN,2016,16288698.0\nKenya,KEN,2017,16181103.0\nKenya,KEN,2018,17002858.0\nKenya,KEN,2019,18158882.0\nKenya,KEN,2020,19989572.0\nKenya,KEN,2021,20589818.0\nKenya,KEN,2022,20544366.0\nKenya,KEN,2023,21185722.0\nKenya,KEN,2024,21225434.0\n```\n\nWhat caused the change in annual co\u2082 emissions for Kenya around 2009?","response":"The chart shows that the change happened: annual co\u2082 emissions moves to 12,184,812 t in 2009. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Kenya__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nMexico,MEX,1990,316745800.0\nMexico,MEX,1991,329831040.0\nMexico,MEX,1992,332453400.0\nMexico,MEX,1993,337721920.0\nMexico,MEX,1994,351533920.0\nMexico,MEX,1995,330905300.0\nMexico,MEX,1996,341543740.0\nMexico,MEX,1997,362465900.0\nMexico,MEX,1998,381101800.0\nMexico,MEX,1999,386036350.0\nMexico,MEX,2000,391435260.0\nMexico,MEX,2001,407484670.0\nMexico,MEX,2002,410301060.0\nMexico,MEX,2003,435968700.0\nMexico,MEX,2004,438588450.0\nMexico,MEX,2005,463435520.0\nMexico,MEX,2006,474522560.0\nMexico,MEX,2007,473595230.0\nMexico,MEX,2008,472981280.0\nMexico,MEX,2009,460290180.0\nMexico,MEX,2010,456408960.0\nMexico,MEX,2011,483301600.0\nMexico,MEX,2012,501492300.0\nMexico,MEX,2013,495411550.0\nMexico,MEX,2014,484044500.0\nMexico,MEX,2015,479433730.0\nMexico,MEX,2016,478827740.0\nMexico,MEX,2017,464406620.0\nMexico,MEX,2018,468420600.0\nMexico,MEX,2019,468235840.0\nMexico,MEX,2020,428936830.0\nMexico,MEX,2021,446837570.0\nMexico,MEX,2022,453799100.0\nMexico,MEX,2023,458253860.0\nMexico,MEX,2024,460987650.0\n```\n\nAccording to this chart, what was annual co\u2082 emissions in Mexico in 2022?","response":"Reading the plotted point for 2022, annual co\u2082 emissions in Mexico was 453,799,100 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nMexico,MEX,1990,316745800.0\nMexico,MEX,1991,329831040.0\nMexico,MEX,1992,332453400.0\nMexico,MEX,1993,337721920.0\nMexico,MEX,1994,351533920.0\nMexico,MEX,1995,330905300.0\nMexico,MEX,1996,341543740.0\nMexico,MEX,1997,362465900.0\nMexico,MEX,1998,381101800.0\nMexico,MEX,1999,386036350.0\nMexico,MEX,2000,391435260.0\nMexico,MEX,2001,407484670.0\nMexico,MEX,2002,410301060.0\nMexico,MEX,2003,435968700.0\nMexico,MEX,2004,438588450.0\nMexico,MEX,2005,463435520.0\nMexico,MEX,2006,474522560.0\nMexico,MEX,2007,473595230.0\nMexico,MEX,2008,472981280.0\nMexico,MEX,2009,460290180.0\nMexico,MEX,2010,456408960.0\nMexico,MEX,2011,483301600.0\nMexico,MEX,2012,501492300.0\nMexico,MEX,2013,495411550.0\nMexico,MEX,2014,484044500.0\nMexico,MEX,2015,479433730.0\nMexico,MEX,2016,478827740.0\nMexico,MEX,2017,464406620.0\nMexico,MEX,2018,468420600.0\nMexico,MEX,2019,468235840.0\nMexico,MEX,2020,428936830.0\nMexico,MEX,2021,446837570.0\nMexico,MEX,2022,453799100.0\nMexico,MEX,2023,458253860.0\nMexico,MEX,2024,460987650.0\n```\n\nIn which year shown does annual co\u2082 emissions reach its highest value for Mexico?","response":"The series peaks in 2012, at 501,492,300 t. The lowest point shown is 1990, at 316,745,800 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nMexico,MEX,1990,316745800.0\nMexico,MEX,1991,329831040.0\nMexico,MEX,1992,332453400.0\nMexico,MEX,1993,337721920.0\nMexico,MEX,1994,351533920.0\nMexico,MEX,1995,330905300.0\nMexico,MEX,1996,341543740.0\nMexico,MEX,1997,362465900.0\nMexico,MEX,1998,381101800.0\nMexico,MEX,1999,386036350.0\nMexico,MEX,2000,391435260.0\nMexico,MEX,2001,407484670.0\nMexico,MEX,2002,410301060.0\nMexico,MEX,2003,435968700.0\nMexico,MEX,2004,438588450.0\nMexico,MEX,2005,463435520.0\nMexico,MEX,2006,474522560.0\nMexico,MEX,2007,473595230.0\nMexico,MEX,2008,472981280.0\nMexico,MEX,2009,460290180.0\nMexico,MEX,2010,456408960.0\nMexico,MEX,2011,483301600.0\nMexico,MEX,2012,501492300.0\nMexico,MEX,2013,495411550.0\nMexico,MEX,2014,484044500.0\nMexico,MEX,2015,479433730.0\nMexico,MEX,2016,478827740.0\nMexico,MEX,2017,464406620.0\nMexico,MEX,2018,468420600.0\nMexico,MEX,2019,468235840.0\nMexico,MEX,2020,428936830.0\nMexico,MEX,2021,446837570.0\nMexico,MEX,2022,453799100.0\nMexico,MEX,2023,458253860.0\nMexico,MEX,2024,460987650.0\n```\n\nHow much did annual co\u2082 emissions change for Mexico between 1990 and 2024?","response":"It moved from 316,745,800 t in 1990 to 460,987,650 t in 2024, a change of 144,241,850 t (+45.54%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nMexico,MEX,1990,316745800.0\nMexico,MEX,1991,329831040.0\nMexico,MEX,1992,332453400.0\nMexico,MEX,1993,337721920.0\nMexico,MEX,1994,351533920.0\nMexico,MEX,1995,330905300.0\nMexico,MEX,1996,341543740.0\nMexico,MEX,1997,362465900.0\nMexico,MEX,1998,381101800.0\nMexico,MEX,1999,386036350.0\nMexico,MEX,2000,391435260.0\nMexico,MEX,2001,407484670.0\nMexico,MEX,2002,410301060.0\nMexico,MEX,2003,435968700.0\nMexico,MEX,2004,438588450.0\nMexico,MEX,2005,463435520.0\nMexico,MEX,2006,474522560.0\nMexico,MEX,2007,473595230.0\nMexico,MEX,2008,472981280.0\nMexico,MEX,2009,460290180.0\nMexico,MEX,2010,456408960.0\nMexico,MEX,2011,483301600.0\nMexico,MEX,2012,501492300.0\nMexico,MEX,2013,495411550.0\nMexico,MEX,2014,484044500.0\nMexico,MEX,2015,479433730.0\nMexico,MEX,2016,478827740.0\nMexico,MEX,2017,464406620.0\nMexico,MEX,2018,468420600.0\nMexico,MEX,2019,468235840.0\nMexico,MEX,2020,428936830.0\nMexico,MEX,2021,446837570.0\nMexico,MEX,2022,453799100.0\nMexico,MEX,2023,458253860.0\nMexico,MEX,2024,460987650.0\n```\n\nWas annual co\u2082 emissions in Mexico higher in 2006 or 2017?","response":"Higher in 2006. The chart gives 474,522,560 t for 2006 and 464,406,620 t for 2017, a difference of 10,115,940 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nMexico,MEX,1990,316745800.0\nMexico,MEX,1991,329831040.0\nMexico,MEX,1992,332453400.0\nMexico,MEX,1993,337721920.0\nMexico,MEX,1994,351533920.0\nMexico,MEX,1995,330905300.0\nMexico,MEX,1996,341543740.0\nMexico,MEX,1997,362465900.0\nMexico,MEX,1998,381101800.0\nMexico,MEX,1999,386036350.0\nMexico,MEX,2000,391435260.0\nMexico,MEX,2001,407484670.0\nMexico,MEX,2002,410301060.0\nMexico,MEX,2003,435968700.0\nMexico,MEX,2004,438588450.0\nMexico,MEX,2005,463435520.0\nMexico,MEX,2006,474522560.0\nMexico,MEX,2007,473595230.0\nMexico,MEX,2008,472981280.0\nMexico,MEX,2009,460290180.0\nMexico,MEX,2010,456408960.0\nMexico,MEX,2011,483301600.0\nMexico,MEX,2012,501492300.0\nMexico,MEX,2013,495411550.0\nMexico,MEX,2014,484044500.0\nMexico,MEX,2015,479433730.0\nMexico,MEX,2016,478827740.0\nMexico,MEX,2017,464406620.0\nMexico,MEX,2018,468420600.0\nMexico,MEX,2019,468235840.0\nMexico,MEX,2020,428936830.0\nMexico,MEX,2021,446837570.0\nMexico,MEX,2022,453799100.0\nMexico,MEX,2023,458253860.0\nMexico,MEX,2024,460987650.0\n```\n\nAccording to this chart, what was annual co\u2082 emissions in Mexico in 2022?","response":"Reading the plotted point for 2022, annual co\u2082 emissions in Mexico was 453,799,100 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nMexico,MEX,1990,316745800.0\nMexico,MEX,1991,329831040.0\nMexico,MEX,1992,332453400.0\nMexico,MEX,1993,337721920.0\nMexico,MEX,1994,351533920.0\nMexico,MEX,1995,330905300.0\nMexico,MEX,1996,341543740.0\nMexico,MEX,1997,362465900.0\nMexico,MEX,1998,381101800.0\nMexico,MEX,1999,386036350.0\nMexico,MEX,2000,391435260.0\nMexico,MEX,2001,407484670.0\nMexico,MEX,2002,410301060.0\nMexico,MEX,2003,435968700.0\nMexico,MEX,2004,438588450.0\nMexico,MEX,2005,463435520.0\nMexico,MEX,2006,474522560.0\nMexico,MEX,2007,473595230.0\nMexico,MEX,2008,472981280.0\nMexico,MEX,2009,460290180.0\nMexico,MEX,2010,456408960.0\nMexico,MEX,2011,483301600.0\nMexico,MEX,2012,501492300.0\nMexico,MEX,2013,495411550.0\nMexico,MEX,2014,484044500.0\nMexico,MEX,2015,479433730.0\nMexico,MEX,2016,478827740.0\nMexico,MEX,2017,464406620.0\nMexico,MEX,2018,468420600.0\nMexico,MEX,2019,468235840.0\nMexico,MEX,2020,428936830.0\nMexico,MEX,2021,446837570.0\nMexico,MEX,2022,453799100.0\nMexico,MEX,2023,458253860.0\nMexico,MEX,2024,460987650.0\n```\n\nIn which year shown does annual co\u2082 emissions reach its highest value for Mexico?","response":"The series peaks in 2012, at 501,492,300 t. The lowest point shown is 1990, at 316,745,800 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nMexico,MEX,1990,316745800.0\nMexico,MEX,1991,329831040.0\nMexico,MEX,1992,332453400.0\nMexico,MEX,1993,337721920.0\nMexico,MEX,1994,351533920.0\nMexico,MEX,1995,330905300.0\nMexico,MEX,1996,341543740.0\nMexico,MEX,1997,362465900.0\nMexico,MEX,1998,381101800.0\nMexico,MEX,1999,386036350.0\nMexico,MEX,2000,391435260.0\nMexico,MEX,2001,407484670.0\nMexico,MEX,2002,410301060.0\nMexico,MEX,2003,435968700.0\nMexico,MEX,2004,438588450.0\nMexico,MEX,2005,463435520.0\nMexico,MEX,2006,474522560.0\nMexico,MEX,2007,473595230.0\nMexico,MEX,2008,472981280.0\nMexico,MEX,2009,460290180.0\nMexico,MEX,2010,456408960.0\nMexico,MEX,2011,483301600.0\nMexico,MEX,2012,501492300.0\nMexico,MEX,2013,495411550.0\nMexico,MEX,2014,484044500.0\nMexico,MEX,2015,479433730.0\nMexico,MEX,2016,478827740.0\nMexico,MEX,2017,464406620.0\nMexico,MEX,2018,468420600.0\nMexico,MEX,2019,468235840.0\nMexico,MEX,2020,428936830.0\nMexico,MEX,2021,446837570.0\nMexico,MEX,2022,453799100.0\nMexico,MEX,2023,458253860.0\nMexico,MEX,2024,460987650.0\n```\n\nHow much did annual co\u2082 emissions change for Mexico between 1990 and 2024?","response":"It moved from 316,745,800 t in 1990 to 460,987,650 t in 2024, a change of 144,241,850 t (+45.54%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nMexico,MEX,1990,316745800.0\nMexico,MEX,1991,329831040.0\nMexico,MEX,1992,332453400.0\nMexico,MEX,1993,337721920.0\nMexico,MEX,1994,351533920.0\nMexico,MEX,1995,330905300.0\nMexico,MEX,1996,341543740.0\nMexico,MEX,1997,362465900.0\nMexico,MEX,1998,381101800.0\nMexico,MEX,1999,386036350.0\nMexico,MEX,2000,391435260.0\nMexico,MEX,2001,407484670.0\nMexico,MEX,2002,410301060.0\nMexico,MEX,2003,435968700.0\nMexico,MEX,2004,438588450.0\nMexico,MEX,2005,463435520.0\nMexico,MEX,2006,474522560.0\nMexico,MEX,2007,473595230.0\nMexico,MEX,2008,472981280.0\nMexico,MEX,2009,460290180.0\nMexico,MEX,2010,456408960.0\nMexico,MEX,2011,483301600.0\nMexico,MEX,2012,501492300.0\nMexico,MEX,2013,495411550.0\nMexico,MEX,2014,484044500.0\nMexico,MEX,2015,479433730.0\nMexico,MEX,2016,478827740.0\nMexico,MEX,2017,464406620.0\nMexico,MEX,2018,468420600.0\nMexico,MEX,2019,468235840.0\nMexico,MEX,2020,428936830.0\nMexico,MEX,2021,446837570.0\nMexico,MEX,2022,453799100.0\nMexico,MEX,2023,458253860.0\nMexico,MEX,2024,460987650.0\n```\n\nWas annual co\u2082 emissions in Mexico higher in 2006 or 2017?","response":"Higher in 2006. The chart gives 474,522,560 t for 2006 and 464,406,620 t for 2017, a difference of 10,115,940 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nMexico,MEX,1990,316745800.0\nMexico,MEX,1991,329831040.0\nMexico,MEX,1992,332453400.0\nMexico,MEX,1993,337721920.0\nMexico,MEX,1994,351533920.0\nMexico,MEX,1995,330905300.0\nMexico,MEX,1996,341543740.0\nMexico,MEX,1997,362465900.0\nMexico,MEX,1998,381101800.0\nMexico,MEX,1999,386036350.0\nMexico,MEX,2000,391435260.0\nMexico,MEX,2001,407484670.0\nMexico,MEX,2002,410301060.0\nMexico,MEX,2003,435968700.0\nMexico,MEX,2004,438588450.0\nMexico,MEX,2005,463435520.0\nMexico,MEX,2006,474522560.0\nMexico,MEX,2007,473595230.0\nMexico,MEX,2008,472981280.0\nMexico,MEX,2009,460290180.0\nMexico,MEX,2010,456408960.0\nMexico,MEX,2011,483301600.0\nMexico,MEX,2012,501492300.0\nMexico,MEX,2013,495411550.0\nMexico,MEX,2014,484044500.0\nMexico,MEX,2015,479433730.0\nMexico,MEX,2016,478827740.0\nMexico,MEX,2017,464406620.0\nMexico,MEX,2018,468420600.0\nMexico,MEX,2019,468235840.0\nMexico,MEX,2020,428936830.0\nMexico,MEX,2021,446837570.0\nMexico,MEX,2022,453799100.0\nMexico,MEX,2023,458253860.0\nMexico,MEX,2024,460987650.0\n```\n\nBased on this chart, is annual co\u2082 emissions in Mexico rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 316,745,800 t to 460,987,650 t, a change of +45.54%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nMexico,MEX,1990,316745800.0\nMexico,MEX,1991,329831040.0\nMexico,MEX,1992,332453400.0\nMexico,MEX,1993,337721920.0\nMexico,MEX,1994,351533920.0\nMexico,MEX,1995,330905300.0\nMexico,MEX,1996,341543740.0\nMexico,MEX,1997,362465900.0\nMexico,MEX,1998,381101800.0\nMexico,MEX,1999,386036350.0\nMexico,MEX,2000,391435260.0\nMexico,MEX,2001,407484670.0\nMexico,MEX,2002,410301060.0\nMexico,MEX,2003,435968700.0\nMexico,MEX,2004,438588450.0\nMexico,MEX,2005,463435520.0\nMexico,MEX,2006,474522560.0\nMexico,MEX,2007,473595230.0\nMexico,MEX,2008,472981280.0\nMexico,MEX,2009,460290180.0\nMexico,MEX,2010,456408960.0\nMexico,MEX,2011,483301600.0\nMexico,MEX,2012,501492300.0\nMexico,MEX,2013,495411550.0\nMexico,MEX,2014,484044500.0\nMexico,MEX,2015,479433730.0\nMexico,MEX,2016,478827740.0\nMexico,MEX,2017,464406620.0\nMexico,MEX,2018,468420600.0\nMexico,MEX,2019,468235840.0\nMexico,MEX,2020,428936830.0\nMexico,MEX,2021,446837570.0\nMexico,MEX,2022,453799100.0\nMexico,MEX,2023,458253860.0\nMexico,MEX,2024,460987650.0\n```\n\nThis chart makes the change in annual co\u2082 emissions for Mexico look dramatic. Is it?","response":"The values change by +45.54%, from 316,745,800 t to 460,987,650 t. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nMexico,MEX,2012,501492300.0\nMexico,MEX,2013,495411550.0\nMexico,MEX,2014,484044500.0\nMexico,MEX,2015,479433730.0\nMexico,MEX,2016,478827740.0\nMexico,MEX,2017,464406620.0\nMexico,MEX,2018,468420600.0\nMexico,MEX,2019,468235840.0\nMexico,MEX,2020,428936830.0\n```\n\nWhat does this chart suggest about the long-run direction of annual co\u2082 emissions in Mexico?","response":"Within the window shown (2012-2020) the series moves -14.47%, but that window runs against the longer record. Across the full series (1990-2024) the change is +45.54%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nMexico,MEX,1990,316745800.0\nMexico,MEX,1991,329831040.0\nMexico,MEX,1992,332453400.0\nMexico,MEX,1993,337721920.0\nMexico,MEX,1994,351533920.0\nMexico,MEX,1995,330905300.0\nMexico,MEX,1996,341543740.0\nMexico,MEX,1997,362465900.0\nMexico,MEX,1998,381101800.0\nMexico,MEX,1999,386036350.0\nMexico,MEX,2000,391435260.0\nMexico,MEX,2001,407484670.0\nMexico,MEX,2002,410301060.0\nMexico,MEX,2003,435968700.0\nMexico,MEX,2004,438588450.0\nMexico,MEX,2005,463435520.0\nMexico,MEX,2006,474522560.0\nMexico,MEX,2007,473595230.0\nMexico,MEX,2008,472981280.0\nMexico,MEX,2009,460290180.0\nMexico,MEX,2010,456408960.0\nMexico,MEX,2011,483301600.0\nMexico,MEX,2012,501492300.0\nMexico,MEX,2013,495411550.0\nMexico,MEX,2014,484044500.0\nMexico,MEX,2015,479433730.0\nMexico,MEX,2016,478827740.0\nMexico,MEX,2017,464406620.0\nMexico,MEX,2018,468420600.0\nMexico,MEX,2019,468235840.0\nMexico,MEX,2020,428936830.0\nMexico,MEX,2021,446837570.0\nMexico,MEX,2022,453799100.0\nMexico,MEX,2023,458253860.0\nMexico,MEX,2024,460987650.0\n```\n\nWhat was annual co\u2082 emissions for Mexico in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 316,745,800 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Mexico__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nTurkey,TUR,1990,154572100.0\nTurkey,TUR,1991,161125940.0\nTurkey,TUR,1992,167234000.0\nTurkey,TUR,1993,174291140.0\nTurkey,TUR,1994,170592420.0\nTurkey,TUR,1995,184674720.0\nTurkey,TUR,1996,203097950.0\nTurkey,TUR,1997,215511520.0\nTurkey,TUR,1998,215585820.0\nTurkey,TUR,1999,211238080.0\nTurkey,TUR,2000,232933970.0\nTurkey,TUR,2001,216872480.0\nTurkey,TUR,2002,224319760.0\nTurkey,TUR,2003,239848560.0\nTurkey,TUR,2004,247843060.0\nTurkey,TUR,2005,267710690.0\nTurkey,TUR,2006,285429400.0\nTurkey,TUR,2007,316497400.0\nTurkey,TUR,2008,312628200.0\nTurkey,TUR,2009,318567940.0\nTurkey,TUR,2010,318710340.0\nTurkey,TUR,2011,344214820.0\nTurkey,TUR,2012,358644600.0\nTurkey,TUR,2013,350633570.0\nTurkey,TUR,2014,367271650.0\nTurkey,TUR,2015,387703900.0\nTurkey,TUR,2016,405552260.0\nTurkey,TUR,2017,430621660.0\nTurkey,TUR,2018,423818300.0\nTurkey,TUR,2019,406567740.0\nTurkey,TUR,2020,416328060.0\nTurkey,TUR,2021,457377280.0\nTurkey,TUR,2022,443602700.0\nTurkey,TUR,2023,486944580.0\nTurkey,TUR,2024,513034600.0\n```\n\nAccording to this chart, what was annual co\u2082 emissions in Turkey in 1997?","response":"Reading the plotted point for 1997, annual co\u2082 emissions in Turkey was 215,511,520 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nTurkey,TUR,1990,154572100.0\nTurkey,TUR,1991,161125940.0\nTurkey,TUR,1992,167234000.0\nTurkey,TUR,1993,174291140.0\nTurkey,TUR,1994,170592420.0\nTurkey,TUR,1995,184674720.0\nTurkey,TUR,1996,203097950.0\nTurkey,TUR,1997,215511520.0\nTurkey,TUR,1998,215585820.0\nTurkey,TUR,1999,211238080.0\nTurkey,TUR,2000,232933970.0\nTurkey,TUR,2001,216872480.0\nTurkey,TUR,2002,224319760.0\nTurkey,TUR,2003,239848560.0\nTurkey,TUR,2004,247843060.0\nTurkey,TUR,2005,267710690.0\nTurkey,TUR,2006,285429400.0\nTurkey,TUR,2007,316497400.0\nTurkey,TUR,2008,312628200.0\nTurkey,TUR,2009,318567940.0\nTurkey,TUR,2010,318710340.0\nTurkey,TUR,2011,344214820.0\nTurkey,TUR,2012,358644600.0\nTurkey,TUR,2013,350633570.0\nTurkey,TUR,2014,367271650.0\nTurkey,TUR,2015,387703900.0\nTurkey,TUR,2016,405552260.0\nTurkey,TUR,2017,430621660.0\nTurkey,TUR,2018,423818300.0\nTurkey,TUR,2019,406567740.0\nTurkey,TUR,2020,416328060.0\nTurkey,TUR,2021,457377280.0\nTurkey,TUR,2022,443602700.0\nTurkey,TUR,2023,486944580.0\nTurkey,TUR,2024,513034600.0\n```\n\nIn which year shown does annual co\u2082 emissions reach its highest value for Turkey?","response":"The series peaks in 2024, at 513,034,600 t. The lowest point shown is 1990, at 154,572,100 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nTurkey,TUR,1990,154572100.0\nTurkey,TUR,1991,161125940.0\nTurkey,TUR,1992,167234000.0\nTurkey,TUR,1993,174291140.0\nTurkey,TUR,1994,170592420.0\nTurkey,TUR,1995,184674720.0\nTurkey,TUR,1996,203097950.0\nTurkey,TUR,1997,215511520.0\nTurkey,TUR,1998,215585820.0\nTurkey,TUR,1999,211238080.0\nTurkey,TUR,2000,232933970.0\nTurkey,TUR,2001,216872480.0\nTurkey,TUR,2002,224319760.0\nTurkey,TUR,2003,239848560.0\nTurkey,TUR,2004,247843060.0\nTurkey,TUR,2005,267710690.0\nTurkey,TUR,2006,285429400.0\nTurkey,TUR,2007,316497400.0\nTurkey,TUR,2008,312628200.0\nTurkey,TUR,2009,318567940.0\nTurkey,TUR,2010,318710340.0\nTurkey,TUR,2011,344214820.0\nTurkey,TUR,2012,358644600.0\nTurkey,TUR,2013,350633570.0\nTurkey,TUR,2014,367271650.0\nTurkey,TUR,2015,387703900.0\nTurkey,TUR,2016,405552260.0\nTurkey,TUR,2017,430621660.0\nTurkey,TUR,2018,423818300.0\nTurkey,TUR,2019,406567740.0\nTurkey,TUR,2020,416328060.0\nTurkey,TUR,2021,457377280.0\nTurkey,TUR,2022,443602700.0\nTurkey,TUR,2023,486944580.0\nTurkey,TUR,2024,513034600.0\n```\n\nHow much did annual co\u2082 emissions change for Turkey between 1990 and 2024?","response":"It moved from 154,572,100 t in 1990 to 513,034,600 t in 2024, a change of 358,462,500 t (+231.91%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nTurkey,TUR,1990,154572100.0\nTurkey,TUR,1991,161125940.0\nTurkey,TUR,1992,167234000.0\nTurkey,TUR,1993,174291140.0\nTurkey,TUR,1994,170592420.0\nTurkey,TUR,1995,184674720.0\nTurkey,TUR,1996,203097950.0\nTurkey,TUR,1997,215511520.0\nTurkey,TUR,1998,215585820.0\nTurkey,TUR,1999,211238080.0\nTurkey,TUR,2000,232933970.0\nTurkey,TUR,2001,216872480.0\nTurkey,TUR,2002,224319760.0\nTurkey,TUR,2003,239848560.0\nTurkey,TUR,2004,247843060.0\nTurkey,TUR,2005,267710690.0\nTurkey,TUR,2006,285429400.0\nTurkey,TUR,2007,316497400.0\nTurkey,TUR,2008,312628200.0\nTurkey,TUR,2009,318567940.0\nTurkey,TUR,2010,318710340.0\nTurkey,TUR,2011,344214820.0\nTurkey,TUR,2012,358644600.0\nTurkey,TUR,2013,350633570.0\nTurkey,TUR,2014,367271650.0\nTurkey,TUR,2015,387703900.0\nTurkey,TUR,2016,405552260.0\nTurkey,TUR,2017,430621660.0\nTurkey,TUR,2018,423818300.0\nTurkey,TUR,2019,406567740.0\nTurkey,TUR,2020,416328060.0\nTurkey,TUR,2021,457377280.0\nTurkey,TUR,2022,443602700.0\nTurkey,TUR,2023,486944580.0\nTurkey,TUR,2024,513034600.0\n```\n\nWas annual co\u2082 emissions in Turkey higher in 1996 or 2022?","response":"Higher in 2022. The chart gives 203,097,950 t for 1996 and 443,602,700 t for 2022, a difference of 240,504,750 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nTurkey,TUR,1990,154572100.0\nTurkey,TUR,1991,161125940.0\nTurkey,TUR,1992,167234000.0\nTurkey,TUR,1993,174291140.0\nTurkey,TUR,1994,170592420.0\nTurkey,TUR,1995,184674720.0\nTurkey,TUR,1996,203097950.0\nTurkey,TUR,1997,215511520.0\nTurkey,TUR,1998,215585820.0\nTurkey,TUR,1999,211238080.0\nTurkey,TUR,2000,232933970.0\nTurkey,TUR,2001,216872480.0\nTurkey,TUR,2002,224319760.0\nTurkey,TUR,2003,239848560.0\nTurkey,TUR,2004,247843060.0\nTurkey,TUR,2005,267710690.0\nTurkey,TUR,2006,285429400.0\nTurkey,TUR,2007,316497400.0\nTurkey,TUR,2008,312628200.0\nTurkey,TUR,2009,318567940.0\nTurkey,TUR,2010,318710340.0\nTurkey,TUR,2011,344214820.0\nTurkey,TUR,2012,358644600.0\nTurkey,TUR,2013,350633570.0\nTurkey,TUR,2014,367271650.0\nTurkey,TUR,2015,387703900.0\nTurkey,TUR,2016,405552260.0\nTurkey,TUR,2017,430621660.0\nTurkey,TUR,2018,423818300.0\nTurkey,TUR,2019,406567740.0\nTurkey,TUR,2020,416328060.0\nTurkey,TUR,2021,457377280.0\nTurkey,TUR,2022,443602700.0\nTurkey,TUR,2023,486944580.0\nTurkey,TUR,2024,513034600.0\n```\n\nAccording to this chart, what was annual co\u2082 emissions in Turkey in 1997?","response":"Reading the plotted point for 1997, annual co\u2082 emissions in Turkey was 215,511,520 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nTurkey,TUR,1990,154572100.0\nTurkey,TUR,1991,161125940.0\nTurkey,TUR,1992,167234000.0\nTurkey,TUR,1993,174291140.0\nTurkey,TUR,1994,170592420.0\nTurkey,TUR,1995,184674720.0\nTurkey,TUR,1996,203097950.0\nTurkey,TUR,1997,215511520.0\nTurkey,TUR,1998,215585820.0\nTurkey,TUR,1999,211238080.0\nTurkey,TUR,2000,232933970.0\nTurkey,TUR,2001,216872480.0\nTurkey,TUR,2002,224319760.0\nTurkey,TUR,2003,239848560.0\nTurkey,TUR,2004,247843060.0\nTurkey,TUR,2005,267710690.0\nTurkey,TUR,2006,285429400.0\nTurkey,TUR,2007,316497400.0\nTurkey,TUR,2008,312628200.0\nTurkey,TUR,2009,318567940.0\nTurkey,TUR,2010,318710340.0\nTurkey,TUR,2011,344214820.0\nTurkey,TUR,2012,358644600.0\nTurkey,TUR,2013,350633570.0\nTurkey,TUR,2014,367271650.0\nTurkey,TUR,2015,387703900.0\nTurkey,TUR,2016,405552260.0\nTurkey,TUR,2017,430621660.0\nTurkey,TUR,2018,423818300.0\nTurkey,TUR,2019,406567740.0\nTurkey,TUR,2020,416328060.0\nTurkey,TUR,2021,457377280.0\nTurkey,TUR,2022,443602700.0\nTurkey,TUR,2023,486944580.0\nTurkey,TUR,2024,513034600.0\n```\n\nIn which year shown does annual co\u2082 emissions reach its highest value for Turkey?","response":"The series peaks in 2024, at 513,034,600 t. The lowest point shown is 1990, at 154,572,100 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nTurkey,TUR,1990,154572100.0\nTurkey,TUR,1991,161125940.0\nTurkey,TUR,1992,167234000.0\nTurkey,TUR,1993,174291140.0\nTurkey,TUR,1994,170592420.0\nTurkey,TUR,1995,184674720.0\nTurkey,TUR,1996,203097950.0\nTurkey,TUR,1997,215511520.0\nTurkey,TUR,1998,215585820.0\nTurkey,TUR,1999,211238080.0\nTurkey,TUR,2000,232933970.0\nTurkey,TUR,2001,216872480.0\nTurkey,TUR,2002,224319760.0\nTurkey,TUR,2003,239848560.0\nTurkey,TUR,2004,247843060.0\nTurkey,TUR,2005,267710690.0\nTurkey,TUR,2006,285429400.0\nTurkey,TUR,2007,316497400.0\nTurkey,TUR,2008,312628200.0\nTurkey,TUR,2009,318567940.0\nTurkey,TUR,2010,318710340.0\nTurkey,TUR,2011,344214820.0\nTurkey,TUR,2012,358644600.0\nTurkey,TUR,2013,350633570.0\nTurkey,TUR,2014,367271650.0\nTurkey,TUR,2015,387703900.0\nTurkey,TUR,2016,405552260.0\nTurkey,TUR,2017,430621660.0\nTurkey,TUR,2018,423818300.0\nTurkey,TUR,2019,406567740.0\nTurkey,TUR,2020,416328060.0\nTurkey,TUR,2021,457377280.0\nTurkey,TUR,2022,443602700.0\nTurkey,TUR,2023,486944580.0\nTurkey,TUR,2024,513034600.0\n```\n\nHow much did annual co\u2082 emissions change for Turkey between 1990 and 2024?","response":"It moved from 154,572,100 t in 1990 to 513,034,600 t in 2024, a change of 358,462,500 t (+231.91%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nTurkey,TUR,1990,154572100.0\nTurkey,TUR,1991,161125940.0\nTurkey,TUR,1992,167234000.0\nTurkey,TUR,1993,174291140.0\nTurkey,TUR,1994,170592420.0\nTurkey,TUR,1995,184674720.0\nTurkey,TUR,1996,203097950.0\nTurkey,TUR,1997,215511520.0\nTurkey,TUR,1998,215585820.0\nTurkey,TUR,1999,211238080.0\nTurkey,TUR,2000,232933970.0\nTurkey,TUR,2001,216872480.0\nTurkey,TUR,2002,224319760.0\nTurkey,TUR,2003,239848560.0\nTurkey,TUR,2004,247843060.0\nTurkey,TUR,2005,267710690.0\nTurkey,TUR,2006,285429400.0\nTurkey,TUR,2007,316497400.0\nTurkey,TUR,2008,312628200.0\nTurkey,TUR,2009,318567940.0\nTurkey,TUR,2010,318710340.0\nTurkey,TUR,2011,344214820.0\nTurkey,TUR,2012,358644600.0\nTurkey,TUR,2013,350633570.0\nTurkey,TUR,2014,367271650.0\nTurkey,TUR,2015,387703900.0\nTurkey,TUR,2016,405552260.0\nTurkey,TUR,2017,430621660.0\nTurkey,TUR,2018,423818300.0\nTurkey,TUR,2019,406567740.0\nTurkey,TUR,2020,416328060.0\nTurkey,TUR,2021,457377280.0\nTurkey,TUR,2022,443602700.0\nTurkey,TUR,2023,486944580.0\nTurkey,TUR,2024,513034600.0\n```\n\nWas annual co\u2082 emissions in Turkey higher in 1996 or 2022?","response":"Higher in 2022. The chart gives 203,097,950 t for 1996 and 443,602,700 t for 2022, a difference of 240,504,750 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nTurkey,TUR,1990,154572100.0\nTurkey,TUR,1991,161125940.0\nTurkey,TUR,1992,167234000.0\nTurkey,TUR,1993,174291140.0\nTurkey,TUR,1994,170592420.0\nTurkey,TUR,1995,184674720.0\nTurkey,TUR,1996,203097950.0\nTurkey,TUR,1997,215511520.0\nTurkey,TUR,1998,215585820.0\nTurkey,TUR,1999,211238080.0\nTurkey,TUR,2000,232933970.0\nTurkey,TUR,2001,216872480.0\nTurkey,TUR,2002,224319760.0\nTurkey,TUR,2003,239848560.0\nTurkey,TUR,2004,247843060.0\nTurkey,TUR,2005,267710690.0\nTurkey,TUR,2006,285429400.0\nTurkey,TUR,2007,316497400.0\nTurkey,TUR,2008,312628200.0\nTurkey,TUR,2009,318567940.0\nTurkey,TUR,2010,318710340.0\nTurkey,TUR,2011,344214820.0\nTurkey,TUR,2012,358644600.0\nTurkey,TUR,2013,350633570.0\nTurkey,TUR,2014,367271650.0\nTurkey,TUR,2015,387703900.0\nTurkey,TUR,2016,405552260.0\nTurkey,TUR,2017,430621660.0\nTurkey,TUR,2018,423818300.0\nTurkey,TUR,2019,406567740.0\nTurkey,TUR,2020,416328060.0\nTurkey,TUR,2021,457377280.0\nTurkey,TUR,2022,443602700.0\nTurkey,TUR,2023,486944580.0\nTurkey,TUR,2024,513034600.0\n```\n\nBased on this chart, is annual co\u2082 emissions in Turkey rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 154,572,100 t to 513,034,600 t, a change of +231.91%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nTurkey,TUR,1990,154572100.0\nTurkey,TUR,1991,161125940.0\nTurkey,TUR,1992,167234000.0\nTurkey,TUR,1993,174291140.0\nTurkey,TUR,1994,170592420.0\nTurkey,TUR,1995,184674720.0\nTurkey,TUR,1996,203097950.0\nTurkey,TUR,1997,215511520.0\nTurkey,TUR,1998,215585820.0\nTurkey,TUR,1999,211238080.0\nTurkey,TUR,2000,232933970.0\nTurkey,TUR,2001,216872480.0\nTurkey,TUR,2002,224319760.0\nTurkey,TUR,2003,239848560.0\nTurkey,TUR,2004,247843060.0\nTurkey,TUR,2005,267710690.0\nTurkey,TUR,2006,285429400.0\nTurkey,TUR,2007,316497400.0\nTurkey,TUR,2008,312628200.0\nTurkey,TUR,2009,318567940.0\nTurkey,TUR,2010,318710340.0\nTurkey,TUR,2011,344214820.0\nTurkey,TUR,2012,358644600.0\nTurkey,TUR,2013,350633570.0\nTurkey,TUR,2014,367271650.0\nTurkey,TUR,2015,387703900.0\nTurkey,TUR,2016,405552260.0\nTurkey,TUR,2017,430621660.0\nTurkey,TUR,2018,423818300.0\nTurkey,TUR,2019,406567740.0\nTurkey,TUR,2020,416328060.0\nTurkey,TUR,2021,457377280.0\nTurkey,TUR,2022,443602700.0\nTurkey,TUR,2023,486944580.0\nTurkey,TUR,2024,513034600.0\n```\n\nWhat caused the change in annual co\u2082 emissions for Turkey around 2023?","response":"The chart shows that the change happened: annual co\u2082 emissions moves to 486,944,580 t in 2023. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Turkey__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nVietnam,VNM,1990,21298646.0\nVietnam,VNM,1991,21375534.0\nVietnam,VNM,1992,21466460.0\nVietnam,VNM,1993,22853002.0\nVietnam,VNM,1994,27362152.0\nVietnam,VNM,1995,30088472.0\nVietnam,VNM,1996,35481510.0\nVietnam,VNM,1997,45502070.0\nVietnam,VNM,1998,47866350.0\nVietnam,VNM,1999,48548324.0\nVietnam,VNM,2000,53935468.0\nVietnam,VNM,2001,60983388.0\nVietnam,VNM,2002,69530950.0\nVietnam,VNM,2003,77261060.0\nVietnam,VNM,2004,88939180.0\nVietnam,VNM,2005,95842056.0\nVietnam,VNM,2006,99655920.0\nVietnam,VNM,2007,101432630.0\nVietnam,VNM,2008,114299576.0\nVietnam,VNM,2009,124493390.0\nVietnam,VNM,2010,139563840.0\nVietnam,VNM,2011,152563940.0\nVietnam,VNM,2012,144287540.0\nVietnam,VNM,2013,151459360.0\nVietnam,VNM,2014,180047520.0\nVietnam,VNM,2015,213391310.0\nVietnam,VNM,2016,221027000.0\nVietnam,VNM,2017,227694370.0\nVietnam,VNM,2018,255468420.0\nVietnam,VNM,2019,339312350.0\nVietnam,VNM,2020,362598880.0\nVietnam,VNM,2021,314196600.0\nVietnam,VNM,2022,322653150.0\nVietnam,VNM,2023,347398800.0\nVietnam,VNM,2024,370931330.0\n```\n\nAccording to this chart, what was annual co\u2082 emissions in Vietnam in 2006?","response":"Reading the plotted point for 2006, annual co\u2082 emissions in Vietnam was 99,655,920 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nVietnam,VNM,1990,21298646.0\nVietnam,VNM,1991,21375534.0\nVietnam,VNM,1992,21466460.0\nVietnam,VNM,1993,22853002.0\nVietnam,VNM,1994,27362152.0\nVietnam,VNM,1995,30088472.0\nVietnam,VNM,1996,35481510.0\nVietnam,VNM,1997,45502070.0\nVietnam,VNM,1998,47866350.0\nVietnam,VNM,1999,48548324.0\nVietnam,VNM,2000,53935468.0\nVietnam,VNM,2001,60983388.0\nVietnam,VNM,2002,69530950.0\nVietnam,VNM,2003,77261060.0\nVietnam,VNM,2004,88939180.0\nVietnam,VNM,2005,95842056.0\nVietnam,VNM,2006,99655920.0\nVietnam,VNM,2007,101432630.0\nVietnam,VNM,2008,114299576.0\nVietnam,VNM,2009,124493390.0\nVietnam,VNM,2010,139563840.0\nVietnam,VNM,2011,152563940.0\nVietnam,VNM,2012,144287540.0\nVietnam,VNM,2013,151459360.0\nVietnam,VNM,2014,180047520.0\nVietnam,VNM,2015,213391310.0\nVietnam,VNM,2016,221027000.0\nVietnam,VNM,2017,227694370.0\nVietnam,VNM,2018,255468420.0\nVietnam,VNM,2019,339312350.0\nVietnam,VNM,2020,362598880.0\nVietnam,VNM,2021,314196600.0\nVietnam,VNM,2022,322653150.0\nVietnam,VNM,2023,347398800.0\nVietnam,VNM,2024,370931330.0\n```\n\nIn which year shown does annual co\u2082 emissions reach its highest value for Vietnam?","response":"The series peaks in 2024, at 370,931,330 t. The lowest point shown is 1990, at 21,298,646 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nVietnam,VNM,1990,21298646.0\nVietnam,VNM,1991,21375534.0\nVietnam,VNM,1992,21466460.0\nVietnam,VNM,1993,22853002.0\nVietnam,VNM,1994,27362152.0\nVietnam,VNM,1995,30088472.0\nVietnam,VNM,1996,35481510.0\nVietnam,VNM,1997,45502070.0\nVietnam,VNM,1998,47866350.0\nVietnam,VNM,1999,48548324.0\nVietnam,VNM,2000,53935468.0\nVietnam,VNM,2001,60983388.0\nVietnam,VNM,2002,69530950.0\nVietnam,VNM,2003,77261060.0\nVietnam,VNM,2004,88939180.0\nVietnam,VNM,2005,95842056.0\nVietnam,VNM,2006,99655920.0\nVietnam,VNM,2007,101432630.0\nVietnam,VNM,2008,114299576.0\nVietnam,VNM,2009,124493390.0\nVietnam,VNM,2010,139563840.0\nVietnam,VNM,2011,152563940.0\nVietnam,VNM,2012,144287540.0\nVietnam,VNM,2013,151459360.0\nVietnam,VNM,2014,180047520.0\nVietnam,VNM,2015,213391310.0\nVietnam,VNM,2016,221027000.0\nVietnam,VNM,2017,227694370.0\nVietnam,VNM,2018,255468420.0\nVietnam,VNM,2019,339312350.0\nVietnam,VNM,2020,362598880.0\nVietnam,VNM,2021,314196600.0\nVietnam,VNM,2022,322653150.0\nVietnam,VNM,2023,347398800.0\nVietnam,VNM,2024,370931330.0\n```\n\nHow much did annual co\u2082 emissions change for Vietnam between 1990 and 2024?","response":"It moved from 21,298,646 t in 1990 to 370,931,330 t in 2024, a change of 349,632,684 t (+1641.57%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nVietnam,VNM,1990,21298646.0\nVietnam,VNM,1991,21375534.0\nVietnam,VNM,1992,21466460.0\nVietnam,VNM,1993,22853002.0\nVietnam,VNM,1994,27362152.0\nVietnam,VNM,1995,30088472.0\nVietnam,VNM,1996,35481510.0\nVietnam,VNM,1997,45502070.0\nVietnam,VNM,1998,47866350.0\nVietnam,VNM,1999,48548324.0\nVietnam,VNM,2000,53935468.0\nVietnam,VNM,2001,60983388.0\nVietnam,VNM,2002,69530950.0\nVietnam,VNM,2003,77261060.0\nVietnam,VNM,2004,88939180.0\nVietnam,VNM,2005,95842056.0\nVietnam,VNM,2006,99655920.0\nVietnam,VNM,2007,101432630.0\nVietnam,VNM,2008,114299576.0\nVietnam,VNM,2009,124493390.0\nVietnam,VNM,2010,139563840.0\nVietnam,VNM,2011,152563940.0\nVietnam,VNM,2012,144287540.0\nVietnam,VNM,2013,151459360.0\nVietnam,VNM,2014,180047520.0\nVietnam,VNM,2015,213391310.0\nVietnam,VNM,2016,221027000.0\nVietnam,VNM,2017,227694370.0\nVietnam,VNM,2018,255468420.0\nVietnam,VNM,2019,339312350.0\nVietnam,VNM,2020,362598880.0\nVietnam,VNM,2021,314196600.0\nVietnam,VNM,2022,322653150.0\nVietnam,VNM,2023,347398800.0\nVietnam,VNM,2024,370931330.0\n```\n\nWas annual co\u2082 emissions in Vietnam higher in 2004 or 2022?","response":"Higher in 2022. The chart gives 88,939,180 t for 2004 and 322,653,150 t for 2022, a difference of 233,713,970 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nVietnam,VNM,1990,21298646.0\nVietnam,VNM,1991,21375534.0\nVietnam,VNM,1992,21466460.0\nVietnam,VNM,1993,22853002.0\nVietnam,VNM,1994,27362152.0\nVietnam,VNM,1995,30088472.0\nVietnam,VNM,1996,35481510.0\nVietnam,VNM,1997,45502070.0\nVietnam,VNM,1998,47866350.0\nVietnam,VNM,1999,48548324.0\nVietnam,VNM,2000,53935468.0\nVietnam,VNM,2001,60983388.0\nVietnam,VNM,2002,69530950.0\nVietnam,VNM,2003,77261060.0\nVietnam,VNM,2004,88939180.0\nVietnam,VNM,2005,95842056.0\nVietnam,VNM,2006,99655920.0\nVietnam,VNM,2007,101432630.0\nVietnam,VNM,2008,114299576.0\nVietnam,VNM,2009,124493390.0\nVietnam,VNM,2010,139563840.0\nVietnam,VNM,2011,152563940.0\nVietnam,VNM,2012,144287540.0\nVietnam,VNM,2013,151459360.0\nVietnam,VNM,2014,180047520.0\nVietnam,VNM,2015,213391310.0\nVietnam,VNM,2016,221027000.0\nVietnam,VNM,2017,227694370.0\nVietnam,VNM,2018,255468420.0\nVietnam,VNM,2019,339312350.0\nVietnam,VNM,2020,362598880.0\nVietnam,VNM,2021,314196600.0\nVietnam,VNM,2022,322653150.0\nVietnam,VNM,2023,347398800.0\nVietnam,VNM,2024,370931330.0\n```\n\nAccording to this chart, what was annual co\u2082 emissions in Vietnam in 2006?","response":"Reading the plotted point for 2006, annual co\u2082 emissions in Vietnam was 99,655,920 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nVietnam,VNM,1990,21298646.0\nVietnam,VNM,1991,21375534.0\nVietnam,VNM,1992,21466460.0\nVietnam,VNM,1993,22853002.0\nVietnam,VNM,1994,27362152.0\nVietnam,VNM,1995,30088472.0\nVietnam,VNM,1996,35481510.0\nVietnam,VNM,1997,45502070.0\nVietnam,VNM,1998,47866350.0\nVietnam,VNM,1999,48548324.0\nVietnam,VNM,2000,53935468.0\nVietnam,VNM,2001,60983388.0\nVietnam,VNM,2002,69530950.0\nVietnam,VNM,2003,77261060.0\nVietnam,VNM,2004,88939180.0\nVietnam,VNM,2005,95842056.0\nVietnam,VNM,2006,99655920.0\nVietnam,VNM,2007,101432630.0\nVietnam,VNM,2008,114299576.0\nVietnam,VNM,2009,124493390.0\nVietnam,VNM,2010,139563840.0\nVietnam,VNM,2011,152563940.0\nVietnam,VNM,2012,144287540.0\nVietnam,VNM,2013,151459360.0\nVietnam,VNM,2014,180047520.0\nVietnam,VNM,2015,213391310.0\nVietnam,VNM,2016,221027000.0\nVietnam,VNM,2017,227694370.0\nVietnam,VNM,2018,255468420.0\nVietnam,VNM,2019,339312350.0\nVietnam,VNM,2020,362598880.0\nVietnam,VNM,2021,314196600.0\nVietnam,VNM,2022,322653150.0\nVietnam,VNM,2023,347398800.0\nVietnam,VNM,2024,370931330.0\n```\n\nIn which year shown does annual co\u2082 emissions reach its highest value for Vietnam?","response":"The series peaks in 2024, at 370,931,330 t. The lowest point shown is 1990, at 21,298,646 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nVietnam,VNM,1990,21298646.0\nVietnam,VNM,1991,21375534.0\nVietnam,VNM,1992,21466460.0\nVietnam,VNM,1993,22853002.0\nVietnam,VNM,1994,27362152.0\nVietnam,VNM,1995,30088472.0\nVietnam,VNM,1996,35481510.0\nVietnam,VNM,1997,45502070.0\nVietnam,VNM,1998,47866350.0\nVietnam,VNM,1999,48548324.0\nVietnam,VNM,2000,53935468.0\nVietnam,VNM,2001,60983388.0\nVietnam,VNM,2002,69530950.0\nVietnam,VNM,2003,77261060.0\nVietnam,VNM,2004,88939180.0\nVietnam,VNM,2005,95842056.0\nVietnam,VNM,2006,99655920.0\nVietnam,VNM,2007,101432630.0\nVietnam,VNM,2008,114299576.0\nVietnam,VNM,2009,124493390.0\nVietnam,VNM,2010,139563840.0\nVietnam,VNM,2011,152563940.0\nVietnam,VNM,2012,144287540.0\nVietnam,VNM,2013,151459360.0\nVietnam,VNM,2014,180047520.0\nVietnam,VNM,2015,213391310.0\nVietnam,VNM,2016,221027000.0\nVietnam,VNM,2017,227694370.0\nVietnam,VNM,2018,255468420.0\nVietnam,VNM,2019,339312350.0\nVietnam,VNM,2020,362598880.0\nVietnam,VNM,2021,314196600.0\nVietnam,VNM,2022,322653150.0\nVietnam,VNM,2023,347398800.0\nVietnam,VNM,2024,370931330.0\n```\n\nHow much did annual co\u2082 emissions change for Vietnam between 1990 and 2024?","response":"It moved from 21,298,646 t in 1990 to 370,931,330 t in 2024, a change of 349,632,684 t (+1641.57%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nVietnam,VNM,1990,21298646.0\nVietnam,VNM,1991,21375534.0\nVietnam,VNM,1992,21466460.0\nVietnam,VNM,1993,22853002.0\nVietnam,VNM,1994,27362152.0\nVietnam,VNM,1995,30088472.0\nVietnam,VNM,1996,35481510.0\nVietnam,VNM,1997,45502070.0\nVietnam,VNM,1998,47866350.0\nVietnam,VNM,1999,48548324.0\nVietnam,VNM,2000,53935468.0\nVietnam,VNM,2001,60983388.0\nVietnam,VNM,2002,69530950.0\nVietnam,VNM,2003,77261060.0\nVietnam,VNM,2004,88939180.0\nVietnam,VNM,2005,95842056.0\nVietnam,VNM,2006,99655920.0\nVietnam,VNM,2007,101432630.0\nVietnam,VNM,2008,114299576.0\nVietnam,VNM,2009,124493390.0\nVietnam,VNM,2010,139563840.0\nVietnam,VNM,2011,152563940.0\nVietnam,VNM,2012,144287540.0\nVietnam,VNM,2013,151459360.0\nVietnam,VNM,2014,180047520.0\nVietnam,VNM,2015,213391310.0\nVietnam,VNM,2016,221027000.0\nVietnam,VNM,2017,227694370.0\nVietnam,VNM,2018,255468420.0\nVietnam,VNM,2019,339312350.0\nVietnam,VNM,2020,362598880.0\nVietnam,VNM,2021,314196600.0\nVietnam,VNM,2022,322653150.0\nVietnam,VNM,2023,347398800.0\nVietnam,VNM,2024,370931330.0\n```\n\nWas annual co\u2082 emissions in Vietnam higher in 2004 or 2022?","response":"Higher in 2022. The chart gives 88,939,180 t for 2004 and 322,653,150 t for 2022, a difference of 233,713,970 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nVietnam,VNM,1990,21298646.0\nVietnam,VNM,1991,21375534.0\nVietnam,VNM,1992,21466460.0\nVietnam,VNM,1993,22853002.0\nVietnam,VNM,1994,27362152.0\nVietnam,VNM,1995,30088472.0\nVietnam,VNM,1996,35481510.0\nVietnam,VNM,1997,45502070.0\nVietnam,VNM,1998,47866350.0\nVietnam,VNM,1999,48548324.0\nVietnam,VNM,2000,53935468.0\nVietnam,VNM,2001,60983388.0\nVietnam,VNM,2002,69530950.0\nVietnam,VNM,2003,77261060.0\nVietnam,VNM,2004,88939180.0\nVietnam,VNM,2005,95842056.0\nVietnam,VNM,2006,99655920.0\nVietnam,VNM,2007,101432630.0\nVietnam,VNM,2008,114299576.0\nVietnam,VNM,2009,124493390.0\nVietnam,VNM,2010,139563840.0\nVietnam,VNM,2011,152563940.0\nVietnam,VNM,2012,144287540.0\nVietnam,VNM,2013,151459360.0\nVietnam,VNM,2014,180047520.0\nVietnam,VNM,2015,213391310.0\nVietnam,VNM,2016,221027000.0\nVietnam,VNM,2017,227694370.0\nVietnam,VNM,2018,255468420.0\nVietnam,VNM,2019,339312350.0\nVietnam,VNM,2020,362598880.0\nVietnam,VNM,2021,314196600.0\nVietnam,VNM,2022,322653150.0\nVietnam,VNM,2023,347398800.0\nVietnam,VNM,2024,370931330.0\n```\n\nBased on this chart, is annual co\u2082 emissions in Vietnam rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 21,298,646 t to 370,931,330 t, a change of +1641.57%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nVietnam,VNM,1990,21298646.0\nVietnam,VNM,1991,21375534.0\nVietnam,VNM,1992,21466460.0\nVietnam,VNM,1993,22853002.0\nVietnam,VNM,1994,27362152.0\nVietnam,VNM,1995,30088472.0\nVietnam,VNM,1996,35481510.0\nVietnam,VNM,1997,45502070.0\nVietnam,VNM,1998,47866350.0\nVietnam,VNM,1999,48548324.0\nVietnam,VNM,2000,53935468.0\nVietnam,VNM,2001,60983388.0\nVietnam,VNM,2002,69530950.0\nVietnam,VNM,2003,77261060.0\nVietnam,VNM,2004,88939180.0\nVietnam,VNM,2005,95842056.0\nVietnam,VNM,2006,99655920.0\nVietnam,VNM,2007,101432630.0\nVietnam,VNM,2008,114299576.0\nVietnam,VNM,2009,124493390.0\nVietnam,VNM,2010,139563840.0\nVietnam,VNM,2011,152563940.0\nVietnam,VNM,2012,144287540.0\nVietnam,VNM,2013,151459360.0\nVietnam,VNM,2014,180047520.0\nVietnam,VNM,2015,213391310.0\nVietnam,VNM,2016,221027000.0\nVietnam,VNM,2017,227694370.0\nVietnam,VNM,2018,255468420.0\nVietnam,VNM,2019,339312350.0\nVietnam,VNM,2020,362598880.0\nVietnam,VNM,2021,314196600.0\nVietnam,VNM,2022,322653150.0\nVietnam,VNM,2023,347398800.0\nVietnam,VNM,2024,370931330.0\n```\n\nThis chart makes the change in annual co\u2082 emissions for Vietnam look dramatic. Is it?","response":"The values change by +1641.57%, from 21,298,646 t to 370,931,330 t. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions\nVietnam,VNM,1990,21298646.0\nVietnam,VNM,1991,21375534.0\nVietnam,VNM,1992,21466460.0\nVietnam,VNM,1993,22853002.0\nVietnam,VNM,1994,27362152.0\nVietnam,VNM,1995,30088472.0\nVietnam,VNM,1996,35481510.0\nVietnam,VNM,1997,45502070.0\nVietnam,VNM,1998,47866350.0\nVietnam,VNM,1999,48548324.0\nVietnam,VNM,2000,53935468.0\nVietnam,VNM,2001,60983388.0\nVietnam,VNM,2002,69530950.0\nVietnam,VNM,2003,77261060.0\nVietnam,VNM,2004,88939180.0\nVietnam,VNM,2005,95842056.0\nVietnam,VNM,2006,99655920.0\nVietnam,VNM,2007,101432630.0\nVietnam,VNM,2008,114299576.0\nVietnam,VNM,2009,124493390.0\nVietnam,VNM,2010,139563840.0\nVietnam,VNM,2011,152563940.0\nVietnam,VNM,2012,144287540.0\nVietnam,VNM,2013,151459360.0\nVietnam,VNM,2014,180047520.0\nVietnam,VNM,2015,213391310.0\nVietnam,VNM,2016,221027000.0\nVietnam,VNM,2017,227694370.0\nVietnam,VNM,2018,255468420.0\nVietnam,VNM,2019,339312350.0\nVietnam,VNM,2020,362598880.0\nVietnam,VNM,2021,314196600.0\nVietnam,VNM,2022,322653150.0\nVietnam,VNM,2023,347398800.0\nVietnam,VNM,2024,370931330.0\n```\n\nWhat caused the change in annual co\u2082 emissions for Vietnam around 2019?","response":"The chart shows that the change happened: annual co\u2082 emissions moves to 339,312,350 t in 2019. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/annual-co2-emissions-per-country__Vietnam__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Annual CO\u2082 emissions","source_citation":"Global Carbon Budget (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/annual-co2-emissions-per-country?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nVietnam,VNM,1995,3328.2148\nVietnam,VNM,1996,3584.029\nVietnam,VNM,1997,3820.3025\nVietnam,VNM,1998,3982.958\nVietnam,VNM,1999,4119.0537\nVietnam,VNM,2000,4349.2236\nVietnam,VNM,2001,4570.2686\nVietnam,VNM,2002,4809.6216\nVietnam,VNM,2003,5090.29\nVietnam,VNM,2004,5421.097\nVietnam,VNM,2005,5776.3633\nVietnam,VNM,2006,6098.245\nVietnam,VNM,2007,6418.544\nVietnam,VNM,2008,6659.1357\nVietnam,VNM,2009,6914.339\nVietnam,VNM,2010,7274.733\nVietnam,VNM,2011,7652.619\nVietnam,VNM,2012,7979.868\nVietnam,VNM,2013,8324.198\nVietnam,VNM,2014,8751.883\nVietnam,VNM,2015,9248.024\nVietnam,VNM,2016,9743.188\nVietnam,VNM,2017,10290.549\nVietnam,VNM,2018,10936.894\nVietnam,VNM,2019,11628.614\nVietnam,VNM,2020,11851.396\nVietnam,VNM,2021,12048.902\nVietnam,VNM,2022,12979.764\nVietnam,VNM,2023,13545.935\nVietnam,VNM,2024,14415.216\n```\n\nAccording to this chart, what was gdp per capita in Vietnam in 2004?","response":"Reading the plotted point for 2004, gdp per capita in Vietnam was 5,421.1 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nVietnam,VNM,1995,3328.2148\nVietnam,VNM,1996,3584.029\nVietnam,VNM,1997,3820.3025\nVietnam,VNM,1998,3982.958\nVietnam,VNM,1999,4119.0537\nVietnam,VNM,2000,4349.2236\nVietnam,VNM,2001,4570.2686\nVietnam,VNM,2002,4809.6216\nVietnam,VNM,2003,5090.29\nVietnam,VNM,2004,5421.097\nVietnam,VNM,2005,5776.3633\nVietnam,VNM,2006,6098.245\nVietnam,VNM,2007,6418.544\nVietnam,VNM,2008,6659.1357\nVietnam,VNM,2009,6914.339\nVietnam,VNM,2010,7274.733\nVietnam,VNM,2011,7652.619\nVietnam,VNM,2012,7979.868\nVietnam,VNM,2013,8324.198\nVietnam,VNM,2014,8751.883\nVietnam,VNM,2015,9248.024\nVietnam,VNM,2016,9743.188\nVietnam,VNM,2017,10290.549\nVietnam,VNM,2018,10936.894\nVietnam,VNM,2019,11628.614\nVietnam,VNM,2020,11851.396\nVietnam,VNM,2021,12048.902\nVietnam,VNM,2022,12979.764\nVietnam,VNM,2023,13545.935\nVietnam,VNM,2024,14415.216\n```\n\nIn which year shown does gdp per capita reach its highest value for Vietnam?","response":"The series peaks in 2024, at 14,415.22 $. The lowest point shown is 1995, at 3,328.21 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nVietnam,VNM,1995,3328.2148\nVietnam,VNM,1996,3584.029\nVietnam,VNM,1997,3820.3025\nVietnam,VNM,1998,3982.958\nVietnam,VNM,1999,4119.0537\nVietnam,VNM,2000,4349.2236\nVietnam,VNM,2001,4570.2686\nVietnam,VNM,2002,4809.6216\nVietnam,VNM,2003,5090.29\nVietnam,VNM,2004,5421.097\nVietnam,VNM,2005,5776.3633\nVietnam,VNM,2006,6098.245\nVietnam,VNM,2007,6418.544\nVietnam,VNM,2008,6659.1357\nVietnam,VNM,2009,6914.339\nVietnam,VNM,2010,7274.733\nVietnam,VNM,2011,7652.619\nVietnam,VNM,2012,7979.868\nVietnam,VNM,2013,8324.198\nVietnam,VNM,2014,8751.883\nVietnam,VNM,2015,9248.024\nVietnam,VNM,2016,9743.188\nVietnam,VNM,2017,10290.549\nVietnam,VNM,2018,10936.894\nVietnam,VNM,2019,11628.614\nVietnam,VNM,2020,11851.396\nVietnam,VNM,2021,12048.902\nVietnam,VNM,2022,12979.764\nVietnam,VNM,2023,13545.935\nVietnam,VNM,2024,14415.216\n```\n\nHow much did gdp per capita change for Vietnam between 1995 and 2024?","response":"It moved from 3,328.21 $ in 1995 to 14,415.22 $ in 2024, a change of 11,087 $ (+333.12%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nVietnam,VNM,1995,3328.2148\nVietnam,VNM,1996,3584.029\nVietnam,VNM,1997,3820.3025\nVietnam,VNM,1998,3982.958\nVietnam,VNM,1999,4119.0537\nVietnam,VNM,2000,4349.2236\nVietnam,VNM,2001,4570.2686\nVietnam,VNM,2002,4809.6216\nVietnam,VNM,2003,5090.29\nVietnam,VNM,2004,5421.097\nVietnam,VNM,2005,5776.3633\nVietnam,VNM,2006,6098.245\nVietnam,VNM,2007,6418.544\nVietnam,VNM,2008,6659.1357\nVietnam,VNM,2009,6914.339\nVietnam,VNM,2010,7274.733\nVietnam,VNM,2011,7652.619\nVietnam,VNM,2012,7979.868\nVietnam,VNM,2013,8324.198\nVietnam,VNM,2014,8751.883\nVietnam,VNM,2015,9248.024\nVietnam,VNM,2016,9743.188\nVietnam,VNM,2017,10290.549\nVietnam,VNM,2018,10936.894\nVietnam,VNM,2019,11628.614\nVietnam,VNM,2020,11851.396\nVietnam,VNM,2021,12048.902\nVietnam,VNM,2022,12979.764\nVietnam,VNM,2023,13545.935\nVietnam,VNM,2024,14415.216\n```\n\nWas gdp per capita in Vietnam higher in 2002 or 2019?","response":"Higher in 2019. The chart gives 4,809.62 $ for 2002 and 11,628.61 $ for 2019, a difference of 6,818.99 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nVietnam,VNM,1995,3328.2148\nVietnam,VNM,1996,3584.029\nVietnam,VNM,1997,3820.3025\nVietnam,VNM,1998,3982.958\nVietnam,VNM,1999,4119.0537\nVietnam,VNM,2000,4349.2236\nVietnam,VNM,2001,4570.2686\nVietnam,VNM,2002,4809.6216\nVietnam,VNM,2003,5090.29\nVietnam,VNM,2004,5421.097\nVietnam,VNM,2005,5776.3633\nVietnam,VNM,2006,6098.245\nVietnam,VNM,2007,6418.544\nVietnam,VNM,2008,6659.1357\nVietnam,VNM,2009,6914.339\nVietnam,VNM,2010,7274.733\nVietnam,VNM,2011,7652.619\nVietnam,VNM,2012,7979.868\nVietnam,VNM,2013,8324.198\nVietnam,VNM,2014,8751.883\nVietnam,VNM,2015,9248.024\nVietnam,VNM,2016,9743.188\nVietnam,VNM,2017,10290.549\nVietnam,VNM,2018,10936.894\nVietnam,VNM,2019,11628.614\nVietnam,VNM,2020,11851.396\nVietnam,VNM,2021,12048.902\nVietnam,VNM,2022,12979.764\nVietnam,VNM,2023,13545.935\nVietnam,VNM,2024,14415.216\n```\n\nAccording to this chart, what was gdp per capita in Vietnam in 2004?","response":"Reading the plotted point for 2004, gdp per capita in Vietnam was 5,421.1 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nVietnam,VNM,1995,3328.2148\nVietnam,VNM,1996,3584.029\nVietnam,VNM,1997,3820.3025\nVietnam,VNM,1998,3982.958\nVietnam,VNM,1999,4119.0537\nVietnam,VNM,2000,4349.2236\nVietnam,VNM,2001,4570.2686\nVietnam,VNM,2002,4809.6216\nVietnam,VNM,2003,5090.29\nVietnam,VNM,2004,5421.097\nVietnam,VNM,2005,5776.3633\nVietnam,VNM,2006,6098.245\nVietnam,VNM,2007,6418.544\nVietnam,VNM,2008,6659.1357\nVietnam,VNM,2009,6914.339\nVietnam,VNM,2010,7274.733\nVietnam,VNM,2011,7652.619\nVietnam,VNM,2012,7979.868\nVietnam,VNM,2013,8324.198\nVietnam,VNM,2014,8751.883\nVietnam,VNM,2015,9248.024\nVietnam,VNM,2016,9743.188\nVietnam,VNM,2017,10290.549\nVietnam,VNM,2018,10936.894\nVietnam,VNM,2019,11628.614\nVietnam,VNM,2020,11851.396\nVietnam,VNM,2021,12048.902\nVietnam,VNM,2022,12979.764\nVietnam,VNM,2023,13545.935\nVietnam,VNM,2024,14415.216\n```\n\nIn which year shown does gdp per capita reach its highest value for Vietnam?","response":"The series peaks in 2024, at 14,415.22 $. The lowest point shown is 1995, at 3,328.21 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nVietnam,VNM,1995,3328.2148\nVietnam,VNM,1996,3584.029\nVietnam,VNM,1997,3820.3025\nVietnam,VNM,1998,3982.958\nVietnam,VNM,1999,4119.0537\nVietnam,VNM,2000,4349.2236\nVietnam,VNM,2001,4570.2686\nVietnam,VNM,2002,4809.6216\nVietnam,VNM,2003,5090.29\nVietnam,VNM,2004,5421.097\nVietnam,VNM,2005,5776.3633\nVietnam,VNM,2006,6098.245\nVietnam,VNM,2007,6418.544\nVietnam,VNM,2008,6659.1357\nVietnam,VNM,2009,6914.339\nVietnam,VNM,2010,7274.733\nVietnam,VNM,2011,7652.619\nVietnam,VNM,2012,7979.868\nVietnam,VNM,2013,8324.198\nVietnam,VNM,2014,8751.883\nVietnam,VNM,2015,9248.024\nVietnam,VNM,2016,9743.188\nVietnam,VNM,2017,10290.549\nVietnam,VNM,2018,10936.894\nVietnam,VNM,2019,11628.614\nVietnam,VNM,2020,11851.396\nVietnam,VNM,2021,12048.902\nVietnam,VNM,2022,12979.764\nVietnam,VNM,2023,13545.935\nVietnam,VNM,2024,14415.216\n```\n\nHow much did gdp per capita change for Vietnam between 1995 and 2024?","response":"It moved from 3,328.21 $ in 1995 to 14,415.22 $ in 2024, a change of 11,087 $ (+333.12%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nVietnam,VNM,1995,3328.2148\nVietnam,VNM,1996,3584.029\nVietnam,VNM,1997,3820.3025\nVietnam,VNM,1998,3982.958\nVietnam,VNM,1999,4119.0537\nVietnam,VNM,2000,4349.2236\nVietnam,VNM,2001,4570.2686\nVietnam,VNM,2002,4809.6216\nVietnam,VNM,2003,5090.29\nVietnam,VNM,2004,5421.097\nVietnam,VNM,2005,5776.3633\nVietnam,VNM,2006,6098.245\nVietnam,VNM,2007,6418.544\nVietnam,VNM,2008,6659.1357\nVietnam,VNM,2009,6914.339\nVietnam,VNM,2010,7274.733\nVietnam,VNM,2011,7652.619\nVietnam,VNM,2012,7979.868\nVietnam,VNM,2013,8324.198\nVietnam,VNM,2014,8751.883\nVietnam,VNM,2015,9248.024\nVietnam,VNM,2016,9743.188\nVietnam,VNM,2017,10290.549\nVietnam,VNM,2018,10936.894\nVietnam,VNM,2019,11628.614\nVietnam,VNM,2020,11851.396\nVietnam,VNM,2021,12048.902\nVietnam,VNM,2022,12979.764\nVietnam,VNM,2023,13545.935\nVietnam,VNM,2024,14415.216\n```\n\nWas gdp per capita in Vietnam higher in 2002 or 2019?","response":"Higher in 2019. The chart gives 4,809.62 $ for 2002 and 11,628.61 $ for 2019, a difference of 6,818.99 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nVietnam,VNM,1995,3328.2148\nVietnam,VNM,1996,3584.029\nVietnam,VNM,1997,3820.3025\nVietnam,VNM,1998,3982.958\nVietnam,VNM,1999,4119.0537\nVietnam,VNM,2000,4349.2236\nVietnam,VNM,2001,4570.2686\nVietnam,VNM,2002,4809.6216\nVietnam,VNM,2003,5090.29\nVietnam,VNM,2004,5421.097\nVietnam,VNM,2005,5776.3633\nVietnam,VNM,2006,6098.245\nVietnam,VNM,2007,6418.544\nVietnam,VNM,2008,6659.1357\nVietnam,VNM,2009,6914.339\nVietnam,VNM,2010,7274.733\nVietnam,VNM,2011,7652.619\nVietnam,VNM,2012,7979.868\nVietnam,VNM,2013,8324.198\nVietnam,VNM,2014,8751.883\nVietnam,VNM,2015,9248.024\nVietnam,VNM,2016,9743.188\nVietnam,VNM,2017,10290.549\nVietnam,VNM,2018,10936.894\nVietnam,VNM,2019,11628.614\nVietnam,VNM,2020,11851.396\nVietnam,VNM,2021,12048.902\nVietnam,VNM,2022,12979.764\nVietnam,VNM,2023,13545.935\nVietnam,VNM,2024,14415.216\n```\n\nBased on this chart, is gdp per capita in Vietnam rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 3,328.21 $ to 14,415.22 $, a change of +333.12%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nVietnam,VNM,1995,3328.2148\nVietnam,VNM,1996,3584.029\nVietnam,VNM,1997,3820.3025\nVietnam,VNM,1998,3982.958\nVietnam,VNM,1999,4119.0537\nVietnam,VNM,2000,4349.2236\nVietnam,VNM,2001,4570.2686\nVietnam,VNM,2002,4809.6216\nVietnam,VNM,2003,5090.29\nVietnam,VNM,2004,5421.097\nVietnam,VNM,2005,5776.3633\nVietnam,VNM,2006,6098.245\nVietnam,VNM,2007,6418.544\nVietnam,VNM,2008,6659.1357\nVietnam,VNM,2009,6914.339\nVietnam,VNM,2010,7274.733\nVietnam,VNM,2011,7652.619\nVietnam,VNM,2012,7979.868\nVietnam,VNM,2013,8324.198\nVietnam,VNM,2014,8751.883\nVietnam,VNM,2015,9248.024\nVietnam,VNM,2016,9743.188\nVietnam,VNM,2017,10290.549\nVietnam,VNM,2018,10936.894\nVietnam,VNM,2019,11628.614\nVietnam,VNM,2020,11851.396\nVietnam,VNM,2021,12048.902\nVietnam,VNM,2022,12979.764\nVietnam,VNM,2023,13545.935\nVietnam,VNM,2024,14415.216\n```\n\nHow does Vietnam compare with Kenya on this measure?","response":"This chart covers Vietnam only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about Vietnam on its own: the series runs from 3,328.21 $ in 1995 to 14,415.22 $ in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Vietnam__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nPoland,POL,1995,14227.566\nPoland,POL,1996,15083.098\nPoland,POL,1997,16031.721\nPoland,POL,1998,16766.648\nPoland,POL,1999,17556.002\nPoland,POL,2000,18566.355\nPoland,POL,2001,18800.602\nPoland,POL,2002,19166.914\nPoland,POL,2003,19855.63\nPoland,POL,2004,20878.654\nPoland,POL,2005,21568.947\nPoland,POL,2006,22921.197\nPoland,POL,2007,24484.066\nPoland,POL,2008,25553.906\nPoland,POL,2009,26204.41\nPoland,POL,2010,27112.133\nPoland,POL,2011,28521.662\nPoland,POL,2012,28952.916\nPoland,POL,2013,29168.625\nPoland,POL,2014,30334.879\nPoland,POL,2015,31700.37\nPoland,POL,2016,32675.305\nPoland,POL,2017,34354.598\nPoland,POL,2018,36500.41\nPoland,POL,2019,38181.62\nPoland,POL,2020,37852.8\nPoland,POL,2021,41059.586\nPoland,POL,2022,43405.023\nPoland,POL,2023,43672.766\nPoland,POL,2024,45153.043\n```\n\nAccording to this chart, what was gdp per capita in Poland in 1997?","response":"Reading the plotted point for 1997, gdp per capita in Poland was 16,031.72 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nPoland,POL,1995,14227.566\nPoland,POL,1996,15083.098\nPoland,POL,1997,16031.721\nPoland,POL,1998,16766.648\nPoland,POL,1999,17556.002\nPoland,POL,2000,18566.355\nPoland,POL,2001,18800.602\nPoland,POL,2002,19166.914\nPoland,POL,2003,19855.63\nPoland,POL,2004,20878.654\nPoland,POL,2005,21568.947\nPoland,POL,2006,22921.197\nPoland,POL,2007,24484.066\nPoland,POL,2008,25553.906\nPoland,POL,2009,26204.41\nPoland,POL,2010,27112.133\nPoland,POL,2011,28521.662\nPoland,POL,2012,28952.916\nPoland,POL,2013,29168.625\nPoland,POL,2014,30334.879\nPoland,POL,2015,31700.37\nPoland,POL,2016,32675.305\nPoland,POL,2017,34354.598\nPoland,POL,2018,36500.41\nPoland,POL,2019,38181.62\nPoland,POL,2020,37852.8\nPoland,POL,2021,41059.586\nPoland,POL,2022,43405.023\nPoland,POL,2023,43672.766\nPoland,POL,2024,45153.043\n```\n\nIn which year shown does gdp per capita reach its highest value for Poland?","response":"The series peaks in 2024, at 45,153.04 $. The lowest point shown is 1995, at 14,227.57 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nPoland,POL,1995,14227.566\nPoland,POL,1996,15083.098\nPoland,POL,1997,16031.721\nPoland,POL,1998,16766.648\nPoland,POL,1999,17556.002\nPoland,POL,2000,18566.355\nPoland,POL,2001,18800.602\nPoland,POL,2002,19166.914\nPoland,POL,2003,19855.63\nPoland,POL,2004,20878.654\nPoland,POL,2005,21568.947\nPoland,POL,2006,22921.197\nPoland,POL,2007,24484.066\nPoland,POL,2008,25553.906\nPoland,POL,2009,26204.41\nPoland,POL,2010,27112.133\nPoland,POL,2011,28521.662\nPoland,POL,2012,28952.916\nPoland,POL,2013,29168.625\nPoland,POL,2014,30334.879\nPoland,POL,2015,31700.37\nPoland,POL,2016,32675.305\nPoland,POL,2017,34354.598\nPoland,POL,2018,36500.41\nPoland,POL,2019,38181.62\nPoland,POL,2020,37852.8\nPoland,POL,2021,41059.586\nPoland,POL,2022,43405.023\nPoland,POL,2023,43672.766\nPoland,POL,2024,45153.043\n```\n\nHow much did gdp per capita change for Poland between 1995 and 2024?","response":"It moved from 14,227.57 $ in 1995 to 45,153.04 $ in 2024, a change of 30,925.48 $ (+217.36%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nPoland,POL,1995,14227.566\nPoland,POL,1996,15083.098\nPoland,POL,1997,16031.721\nPoland,POL,1998,16766.648\nPoland,POL,1999,17556.002\nPoland,POL,2000,18566.355\nPoland,POL,2001,18800.602\nPoland,POL,2002,19166.914\nPoland,POL,2003,19855.63\nPoland,POL,2004,20878.654\nPoland,POL,2005,21568.947\nPoland,POL,2006,22921.197\nPoland,POL,2007,24484.066\nPoland,POL,2008,25553.906\nPoland,POL,2009,26204.41\nPoland,POL,2010,27112.133\nPoland,POL,2011,28521.662\nPoland,POL,2012,28952.916\nPoland,POL,2013,29168.625\nPoland,POL,2014,30334.879\nPoland,POL,2015,31700.37\nPoland,POL,2016,32675.305\nPoland,POL,2017,34354.598\nPoland,POL,2018,36500.41\nPoland,POL,2019,38181.62\nPoland,POL,2020,37852.8\nPoland,POL,2021,41059.586\nPoland,POL,2022,43405.023\nPoland,POL,2023,43672.766\nPoland,POL,2024,45153.043\n```\n\nWas gdp per capita in Poland higher in 2006 or 2023?","response":"Higher in 2023. The chart gives 22,921.2 $ for 2006 and 43,672.77 $ for 2023, a difference of 20,751.57 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nPoland,POL,1995,14227.566\nPoland,POL,1996,15083.098\nPoland,POL,1997,16031.721\nPoland,POL,1998,16766.648\nPoland,POL,1999,17556.002\nPoland,POL,2000,18566.355\nPoland,POL,2001,18800.602\nPoland,POL,2002,19166.914\nPoland,POL,2003,19855.63\nPoland,POL,2004,20878.654\nPoland,POL,2005,21568.947\nPoland,POL,2006,22921.197\nPoland,POL,2007,24484.066\nPoland,POL,2008,25553.906\nPoland,POL,2009,26204.41\nPoland,POL,2010,27112.133\nPoland,POL,2011,28521.662\nPoland,POL,2012,28952.916\nPoland,POL,2013,29168.625\nPoland,POL,2014,30334.879\nPoland,POL,2015,31700.37\nPoland,POL,2016,32675.305\nPoland,POL,2017,34354.598\nPoland,POL,2018,36500.41\nPoland,POL,2019,38181.62\nPoland,POL,2020,37852.8\nPoland,POL,2021,41059.586\nPoland,POL,2022,43405.023\nPoland,POL,2023,43672.766\nPoland,POL,2024,45153.043\n```\n\nAccording to this chart, what was gdp per capita in Poland in 1997?","response":"Reading the plotted point for 1997, gdp per capita in Poland was 16,031.72 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nPoland,POL,1995,14227.566\nPoland,POL,1996,15083.098\nPoland,POL,1997,16031.721\nPoland,POL,1998,16766.648\nPoland,POL,1999,17556.002\nPoland,POL,2000,18566.355\nPoland,POL,2001,18800.602\nPoland,POL,2002,19166.914\nPoland,POL,2003,19855.63\nPoland,POL,2004,20878.654\nPoland,POL,2005,21568.947\nPoland,POL,2006,22921.197\nPoland,POL,2007,24484.066\nPoland,POL,2008,25553.906\nPoland,POL,2009,26204.41\nPoland,POL,2010,27112.133\nPoland,POL,2011,28521.662\nPoland,POL,2012,28952.916\nPoland,POL,2013,29168.625\nPoland,POL,2014,30334.879\nPoland,POL,2015,31700.37\nPoland,POL,2016,32675.305\nPoland,POL,2017,34354.598\nPoland,POL,2018,36500.41\nPoland,POL,2019,38181.62\nPoland,POL,2020,37852.8\nPoland,POL,2021,41059.586\nPoland,POL,2022,43405.023\nPoland,POL,2023,43672.766\nPoland,POL,2024,45153.043\n```\n\nIn which year shown does gdp per capita reach its highest value for Poland?","response":"The series peaks in 2024, at 45,153.04 $. The lowest point shown is 1995, at 14,227.57 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nPoland,POL,1995,14227.566\nPoland,POL,1996,15083.098\nPoland,POL,1997,16031.721\nPoland,POL,1998,16766.648\nPoland,POL,1999,17556.002\nPoland,POL,2000,18566.355\nPoland,POL,2001,18800.602\nPoland,POL,2002,19166.914\nPoland,POL,2003,19855.63\nPoland,POL,2004,20878.654\nPoland,POL,2005,21568.947\nPoland,POL,2006,22921.197\nPoland,POL,2007,24484.066\nPoland,POL,2008,25553.906\nPoland,POL,2009,26204.41\nPoland,POL,2010,27112.133\nPoland,POL,2011,28521.662\nPoland,POL,2012,28952.916\nPoland,POL,2013,29168.625\nPoland,POL,2014,30334.879\nPoland,POL,2015,31700.37\nPoland,POL,2016,32675.305\nPoland,POL,2017,34354.598\nPoland,POL,2018,36500.41\nPoland,POL,2019,38181.62\nPoland,POL,2020,37852.8\nPoland,POL,2021,41059.586\nPoland,POL,2022,43405.023\nPoland,POL,2023,43672.766\nPoland,POL,2024,45153.043\n```\n\nHow much did gdp per capita change for Poland between 1995 and 2024?","response":"It moved from 14,227.57 $ in 1995 to 45,153.04 $ in 2024, a change of 30,925.48 $ (+217.36%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nPoland,POL,1995,14227.566\nPoland,POL,1996,15083.098\nPoland,POL,1997,16031.721\nPoland,POL,1998,16766.648\nPoland,POL,1999,17556.002\nPoland,POL,2000,18566.355\nPoland,POL,2001,18800.602\nPoland,POL,2002,19166.914\nPoland,POL,2003,19855.63\nPoland,POL,2004,20878.654\nPoland,POL,2005,21568.947\nPoland,POL,2006,22921.197\nPoland,POL,2007,24484.066\nPoland,POL,2008,25553.906\nPoland,POL,2009,26204.41\nPoland,POL,2010,27112.133\nPoland,POL,2011,28521.662\nPoland,POL,2012,28952.916\nPoland,POL,2013,29168.625\nPoland,POL,2014,30334.879\nPoland,POL,2015,31700.37\nPoland,POL,2016,32675.305\nPoland,POL,2017,34354.598\nPoland,POL,2018,36500.41\nPoland,POL,2019,38181.62\nPoland,POL,2020,37852.8\nPoland,POL,2021,41059.586\nPoland,POL,2022,43405.023\nPoland,POL,2023,43672.766\nPoland,POL,2024,45153.043\n```\n\nWas gdp per capita in Poland higher in 2006 or 2023?","response":"Higher in 2023. The chart gives 22,921.2 $ for 2006 and 43,672.77 $ for 2023, a difference of 20,751.57 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nPoland,POL,1995,14227.566\nPoland,POL,1996,15083.098\nPoland,POL,1997,16031.721\nPoland,POL,1998,16766.648\nPoland,POL,1999,17556.002\nPoland,POL,2000,18566.355\nPoland,POL,2001,18800.602\nPoland,POL,2002,19166.914\nPoland,POL,2003,19855.63\nPoland,POL,2004,20878.654\nPoland,POL,2005,21568.947\nPoland,POL,2006,22921.197\nPoland,POL,2007,24484.066\nPoland,POL,2008,25553.906\nPoland,POL,2009,26204.41\nPoland,POL,2010,27112.133\nPoland,POL,2011,28521.662\nPoland,POL,2012,28952.916\nPoland,POL,2013,29168.625\nPoland,POL,2014,30334.879\nPoland,POL,2015,31700.37\nPoland,POL,2016,32675.305\nPoland,POL,2017,34354.598\nPoland,POL,2018,36500.41\nPoland,POL,2019,38181.62\nPoland,POL,2020,37852.8\nPoland,POL,2021,41059.586\nPoland,POL,2022,43405.023\nPoland,POL,2023,43672.766\nPoland,POL,2024,45153.043\n```\n\nBased on this chart, is gdp per capita in Poland rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 14,227.57 $ to 45,153.04 $, a change of +217.36%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nPoland,POL,1995,14227.566\nPoland,POL,1996,15083.098\nPoland,POL,1997,16031.721\nPoland,POL,1998,16766.648\nPoland,POL,1999,17556.002\nPoland,POL,2000,18566.355\nPoland,POL,2001,18800.602\nPoland,POL,2002,19166.914\nPoland,POL,2003,19855.63\nPoland,POL,2004,20878.654\nPoland,POL,2005,21568.947\nPoland,POL,2006,22921.197\nPoland,POL,2007,24484.066\nPoland,POL,2008,25553.906\nPoland,POL,2009,26204.41\nPoland,POL,2010,27112.133\nPoland,POL,2011,28521.662\nPoland,POL,2012,28952.916\nPoland,POL,2013,29168.625\nPoland,POL,2014,30334.879\nPoland,POL,2015,31700.37\nPoland,POL,2016,32675.305\nPoland,POL,2017,34354.598\nPoland,POL,2018,36500.41\nPoland,POL,2019,38181.62\nPoland,POL,2020,37852.8\nPoland,POL,2021,41059.586\nPoland,POL,2022,43405.023\nPoland,POL,2023,43672.766\nPoland,POL,2024,45153.043\n```\n\nThis chart makes the change in gdp per capita for Poland look dramatic. Is it?","response":"The values change by +217.36%, from 14,227.57 $ to 45,153.04 $. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nPoland,POL,1995,14227.566\nPoland,POL,1996,15083.098\nPoland,POL,1997,16031.721\nPoland,POL,1998,16766.648\nPoland,POL,1999,17556.002\nPoland,POL,2000,18566.355\nPoland,POL,2001,18800.602\nPoland,POL,2002,19166.914\nPoland,POL,2003,19855.63\nPoland,POL,2004,20878.654\nPoland,POL,2005,21568.947\nPoland,POL,2006,22921.197\nPoland,POL,2007,24484.066\nPoland,POL,2008,25553.906\nPoland,POL,2009,26204.41\nPoland,POL,2010,27112.133\nPoland,POL,2011,28521.662\nPoland,POL,2012,28952.916\nPoland,POL,2013,29168.625\nPoland,POL,2014,30334.879\nPoland,POL,2015,31700.37\nPoland,POL,2016,32675.305\nPoland,POL,2017,34354.598\nPoland,POL,2018,36500.41\nPoland,POL,2019,38181.62\nPoland,POL,2020,37852.8\nPoland,POL,2021,41059.586\nPoland,POL,2022,43405.023\nPoland,POL,2023,43672.766\nPoland,POL,2024,45153.043\n```\n\nHow does Poland compare with Kenya on this measure?","response":"This chart covers Poland only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about Poland on its own: the series runs from 14,227.57 $ in 1995 to 45,153.04 $ in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Poland__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEgypt,EGY,1995,8423.578\nEgypt,EGY,1996,8662.331\nEgypt,EGY,1997,8950.654\nEgypt,EGY,1998,9245.479\nEgypt,EGY,1999,9588.859\nEgypt,EGY,2000,9981.628\nEgypt,EGY,2001,10117.333\nEgypt,EGY,2002,10143.506\nEgypt,EGY,2003,10250.377\nEgypt,EGY,2004,10451.821\nEgypt,EGY,2005,10700.609\nEgypt,EGY,2006,11211.832\nEgypt,EGY,2007,11782.006\nEgypt,EGY,2008,12391.585\nEgypt,EGY,2009,12728.081\nEgypt,EGY,2010,13128.988\nEgypt,EGY,2011,13082.427\nEgypt,EGY,2012,13076.806\nEgypt,EGY,2013,13058.075\nEgypt,EGY,2014,13136.365\nEgypt,EGY,2015,13425.912\nEgypt,EGY,2016,13727.32\nEgypt,EGY,2017,14018.36\nEgypt,EGY,2018,14488.209\nEgypt,EGY,2019,15026.568\nEgypt,EGY,2020,15309.236\nEgypt,EGY,2021,15579.016\nEgypt,EGY,2022,16360.391\nEgypt,EGY,2023,16691.387\nEgypt,EGY,2024,16798.152\n```\n\nAccording to this chart, what was gdp per capita in Egypt in 2008?","response":"Reading the plotted point for 2008, gdp per capita in Egypt was 12,391.58 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEgypt,EGY,1995,8423.578\nEgypt,EGY,1996,8662.331\nEgypt,EGY,1997,8950.654\nEgypt,EGY,1998,9245.479\nEgypt,EGY,1999,9588.859\nEgypt,EGY,2000,9981.628\nEgypt,EGY,2001,10117.333\nEgypt,EGY,2002,10143.506\nEgypt,EGY,2003,10250.377\nEgypt,EGY,2004,10451.821\nEgypt,EGY,2005,10700.609\nEgypt,EGY,2006,11211.832\nEgypt,EGY,2007,11782.006\nEgypt,EGY,2008,12391.585\nEgypt,EGY,2009,12728.081\nEgypt,EGY,2010,13128.988\nEgypt,EGY,2011,13082.427\nEgypt,EGY,2012,13076.806\nEgypt,EGY,2013,13058.075\nEgypt,EGY,2014,13136.365\nEgypt,EGY,2015,13425.912\nEgypt,EGY,2016,13727.32\nEgypt,EGY,2017,14018.36\nEgypt,EGY,2018,14488.209\nEgypt,EGY,2019,15026.568\nEgypt,EGY,2020,15309.236\nEgypt,EGY,2021,15579.016\nEgypt,EGY,2022,16360.391\nEgypt,EGY,2023,16691.387\nEgypt,EGY,2024,16798.152\n```\n\nIn which year shown does gdp per capita reach its highest value for Egypt?","response":"The series peaks in 2024, at 16,798.15 $. The lowest point shown is 1995, at 8,423.58 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEgypt,EGY,1995,8423.578\nEgypt,EGY,1996,8662.331\nEgypt,EGY,1997,8950.654\nEgypt,EGY,1998,9245.479\nEgypt,EGY,1999,9588.859\nEgypt,EGY,2000,9981.628\nEgypt,EGY,2001,10117.333\nEgypt,EGY,2002,10143.506\nEgypt,EGY,2003,10250.377\nEgypt,EGY,2004,10451.821\nEgypt,EGY,2005,10700.609\nEgypt,EGY,2006,11211.832\nEgypt,EGY,2007,11782.006\nEgypt,EGY,2008,12391.585\nEgypt,EGY,2009,12728.081\nEgypt,EGY,2010,13128.988\nEgypt,EGY,2011,13082.427\nEgypt,EGY,2012,13076.806\nEgypt,EGY,2013,13058.075\nEgypt,EGY,2014,13136.365\nEgypt,EGY,2015,13425.912\nEgypt,EGY,2016,13727.32\nEgypt,EGY,2017,14018.36\nEgypt,EGY,2018,14488.209\nEgypt,EGY,2019,15026.568\nEgypt,EGY,2020,15309.236\nEgypt,EGY,2021,15579.016\nEgypt,EGY,2022,16360.391\nEgypt,EGY,2023,16691.387\nEgypt,EGY,2024,16798.152\n```\n\nHow much did gdp per capita change for Egypt between 1995 and 2024?","response":"It moved from 8,423.58 $ in 1995 to 16,798.15 $ in 2024, a change of 8,374.57 $ (+99.42%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEgypt,EGY,1995,8423.578\nEgypt,EGY,1996,8662.331\nEgypt,EGY,1997,8950.654\nEgypt,EGY,1998,9245.479\nEgypt,EGY,1999,9588.859\nEgypt,EGY,2000,9981.628\nEgypt,EGY,2001,10117.333\nEgypt,EGY,2002,10143.506\nEgypt,EGY,2003,10250.377\nEgypt,EGY,2004,10451.821\nEgypt,EGY,2005,10700.609\nEgypt,EGY,2006,11211.832\nEgypt,EGY,2007,11782.006\nEgypt,EGY,2008,12391.585\nEgypt,EGY,2009,12728.081\nEgypt,EGY,2010,13128.988\nEgypt,EGY,2011,13082.427\nEgypt,EGY,2012,13076.806\nEgypt,EGY,2013,13058.075\nEgypt,EGY,2014,13136.365\nEgypt,EGY,2015,13425.912\nEgypt,EGY,2016,13727.32\nEgypt,EGY,2017,14018.36\nEgypt,EGY,2018,14488.209\nEgypt,EGY,2019,15026.568\nEgypt,EGY,2020,15309.236\nEgypt,EGY,2021,15579.016\nEgypt,EGY,2022,16360.391\nEgypt,EGY,2023,16691.387\nEgypt,EGY,2024,16798.152\n```\n\nWas gdp per capita in Egypt higher in 1995 or 2014?","response":"Higher in 2014. The chart gives 8,423.58 $ for 1995 and 13,136.36 $ for 2014, a difference of 4,712.79 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEgypt,EGY,1995,8423.578\nEgypt,EGY,1996,8662.331\nEgypt,EGY,1997,8950.654\nEgypt,EGY,1998,9245.479\nEgypt,EGY,1999,9588.859\nEgypt,EGY,2000,9981.628\nEgypt,EGY,2001,10117.333\nEgypt,EGY,2002,10143.506\nEgypt,EGY,2003,10250.377\nEgypt,EGY,2004,10451.821\nEgypt,EGY,2005,10700.609\nEgypt,EGY,2006,11211.832\nEgypt,EGY,2007,11782.006\nEgypt,EGY,2008,12391.585\nEgypt,EGY,2009,12728.081\nEgypt,EGY,2010,13128.988\nEgypt,EGY,2011,13082.427\nEgypt,EGY,2012,13076.806\nEgypt,EGY,2013,13058.075\nEgypt,EGY,2014,13136.365\nEgypt,EGY,2015,13425.912\nEgypt,EGY,2016,13727.32\nEgypt,EGY,2017,14018.36\nEgypt,EGY,2018,14488.209\nEgypt,EGY,2019,15026.568\nEgypt,EGY,2020,15309.236\nEgypt,EGY,2021,15579.016\nEgypt,EGY,2022,16360.391\nEgypt,EGY,2023,16691.387\nEgypt,EGY,2024,16798.152\n```\n\nAccording to this chart, what was gdp per capita in Egypt in 2008?","response":"Reading the plotted point for 2008, gdp per capita in Egypt was 12,391.58 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEgypt,EGY,1995,8423.578\nEgypt,EGY,1996,8662.331\nEgypt,EGY,1997,8950.654\nEgypt,EGY,1998,9245.479\nEgypt,EGY,1999,9588.859\nEgypt,EGY,2000,9981.628\nEgypt,EGY,2001,10117.333\nEgypt,EGY,2002,10143.506\nEgypt,EGY,2003,10250.377\nEgypt,EGY,2004,10451.821\nEgypt,EGY,2005,10700.609\nEgypt,EGY,2006,11211.832\nEgypt,EGY,2007,11782.006\nEgypt,EGY,2008,12391.585\nEgypt,EGY,2009,12728.081\nEgypt,EGY,2010,13128.988\nEgypt,EGY,2011,13082.427\nEgypt,EGY,2012,13076.806\nEgypt,EGY,2013,13058.075\nEgypt,EGY,2014,13136.365\nEgypt,EGY,2015,13425.912\nEgypt,EGY,2016,13727.32\nEgypt,EGY,2017,14018.36\nEgypt,EGY,2018,14488.209\nEgypt,EGY,2019,15026.568\nEgypt,EGY,2020,15309.236\nEgypt,EGY,2021,15579.016\nEgypt,EGY,2022,16360.391\nEgypt,EGY,2023,16691.387\nEgypt,EGY,2024,16798.152\n```\n\nIn which year shown does gdp per capita reach its highest value for Egypt?","response":"The series peaks in 2024, at 16,798.15 $. The lowest point shown is 1995, at 8,423.58 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEgypt,EGY,1995,8423.578\nEgypt,EGY,1996,8662.331\nEgypt,EGY,1997,8950.654\nEgypt,EGY,1998,9245.479\nEgypt,EGY,1999,9588.859\nEgypt,EGY,2000,9981.628\nEgypt,EGY,2001,10117.333\nEgypt,EGY,2002,10143.506\nEgypt,EGY,2003,10250.377\nEgypt,EGY,2004,10451.821\nEgypt,EGY,2005,10700.609\nEgypt,EGY,2006,11211.832\nEgypt,EGY,2007,11782.006\nEgypt,EGY,2008,12391.585\nEgypt,EGY,2009,12728.081\nEgypt,EGY,2010,13128.988\nEgypt,EGY,2011,13082.427\nEgypt,EGY,2012,13076.806\nEgypt,EGY,2013,13058.075\nEgypt,EGY,2014,13136.365\nEgypt,EGY,2015,13425.912\nEgypt,EGY,2016,13727.32\nEgypt,EGY,2017,14018.36\nEgypt,EGY,2018,14488.209\nEgypt,EGY,2019,15026.568\nEgypt,EGY,2020,15309.236\nEgypt,EGY,2021,15579.016\nEgypt,EGY,2022,16360.391\nEgypt,EGY,2023,16691.387\nEgypt,EGY,2024,16798.152\n```\n\nHow much did gdp per capita change for Egypt between 1995 and 2024?","response":"It moved from 8,423.58 $ in 1995 to 16,798.15 $ in 2024, a change of 8,374.57 $ (+99.42%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEgypt,EGY,1995,8423.578\nEgypt,EGY,1996,8662.331\nEgypt,EGY,1997,8950.654\nEgypt,EGY,1998,9245.479\nEgypt,EGY,1999,9588.859\nEgypt,EGY,2000,9981.628\nEgypt,EGY,2001,10117.333\nEgypt,EGY,2002,10143.506\nEgypt,EGY,2003,10250.377\nEgypt,EGY,2004,10451.821\nEgypt,EGY,2005,10700.609\nEgypt,EGY,2006,11211.832\nEgypt,EGY,2007,11782.006\nEgypt,EGY,2008,12391.585\nEgypt,EGY,2009,12728.081\nEgypt,EGY,2010,13128.988\nEgypt,EGY,2011,13082.427\nEgypt,EGY,2012,13076.806\nEgypt,EGY,2013,13058.075\nEgypt,EGY,2014,13136.365\nEgypt,EGY,2015,13425.912\nEgypt,EGY,2016,13727.32\nEgypt,EGY,2017,14018.36\nEgypt,EGY,2018,14488.209\nEgypt,EGY,2019,15026.568\nEgypt,EGY,2020,15309.236\nEgypt,EGY,2021,15579.016\nEgypt,EGY,2022,16360.391\nEgypt,EGY,2023,16691.387\nEgypt,EGY,2024,16798.152\n```\n\nWas gdp per capita in Egypt higher in 1995 or 2014?","response":"Higher in 2014. The chart gives 8,423.58 $ for 1995 and 13,136.36 $ for 2014, a difference of 4,712.79 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEgypt,EGY,1995,8423.578\nEgypt,EGY,1996,8662.331\nEgypt,EGY,1997,8950.654\nEgypt,EGY,1998,9245.479\nEgypt,EGY,1999,9588.859\nEgypt,EGY,2000,9981.628\nEgypt,EGY,2001,10117.333\nEgypt,EGY,2002,10143.506\nEgypt,EGY,2003,10250.377\nEgypt,EGY,2004,10451.821\nEgypt,EGY,2005,10700.609\nEgypt,EGY,2006,11211.832\nEgypt,EGY,2007,11782.006\nEgypt,EGY,2008,12391.585\nEgypt,EGY,2009,12728.081\nEgypt,EGY,2010,13128.988\nEgypt,EGY,2011,13082.427\nEgypt,EGY,2012,13076.806\nEgypt,EGY,2013,13058.075\nEgypt,EGY,2014,13136.365\nEgypt,EGY,2015,13425.912\nEgypt,EGY,2016,13727.32\nEgypt,EGY,2017,14018.36\nEgypt,EGY,2018,14488.209\nEgypt,EGY,2019,15026.568\nEgypt,EGY,2020,15309.236\nEgypt,EGY,2021,15579.016\nEgypt,EGY,2022,16360.391\nEgypt,EGY,2023,16691.387\nEgypt,EGY,2024,16798.152\n```\n\nThis chart makes the change in gdp per capita for Egypt look dramatic. Is it?","response":"The values change by +99.42%, from 8,423.58 $ to 16,798.15 $. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEgypt,EGY,1995,8423.578\nEgypt,EGY,1996,8662.331\nEgypt,EGY,1997,8950.654\nEgypt,EGY,1998,9245.479\nEgypt,EGY,1999,9588.859\nEgypt,EGY,2000,9981.628\nEgypt,EGY,2001,10117.333\nEgypt,EGY,2002,10143.506\nEgypt,EGY,2003,10250.377\nEgypt,EGY,2004,10451.821\nEgypt,EGY,2005,10700.609\nEgypt,EGY,2006,11211.832\nEgypt,EGY,2007,11782.006\nEgypt,EGY,2008,12391.585\nEgypt,EGY,2009,12728.081\nEgypt,EGY,2010,13128.988\nEgypt,EGY,2011,13082.427\nEgypt,EGY,2012,13076.806\nEgypt,EGY,2013,13058.075\nEgypt,EGY,2014,13136.365\nEgypt,EGY,2015,13425.912\nEgypt,EGY,2016,13727.32\nEgypt,EGY,2017,14018.36\nEgypt,EGY,2018,14488.209\nEgypt,EGY,2019,15026.568\nEgypt,EGY,2020,15309.236\nEgypt,EGY,2021,15579.016\nEgypt,EGY,2022,16360.391\nEgypt,EGY,2023,16691.387\nEgypt,EGY,2024,16798.152\n```\n\nThis chart appears to show gdp per capita in Egypt rising steeply. How large is the increase actually?","response":"The plotted values run from 8,423.58 $ to 16,798.15 $, so the actual change is +99.42%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 8256.0865 instead of zero, which magnifies the visual change by roughly 2.08x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEgypt,EGY,1995,8423.578\nEgypt,EGY,1996,8662.331\nEgypt,EGY,1997,8950.654\nEgypt,EGY,1998,9245.479\nEgypt,EGY,1999,9588.859\nEgypt,EGY,2000,9981.628\nEgypt,EGY,2001,10117.333\nEgypt,EGY,2002,10143.506\nEgypt,EGY,2003,10250.377\nEgypt,EGY,2004,10451.821\nEgypt,EGY,2005,10700.609\nEgypt,EGY,2006,11211.832\nEgypt,EGY,2007,11782.006\nEgypt,EGY,2008,12391.585\nEgypt,EGY,2009,12728.081\nEgypt,EGY,2010,13128.988\nEgypt,EGY,2011,13082.427\nEgypt,EGY,2012,13076.806\nEgypt,EGY,2013,13058.075\nEgypt,EGY,2014,13136.365\nEgypt,EGY,2015,13425.912\nEgypt,EGY,2016,13727.32\nEgypt,EGY,2017,14018.36\nEgypt,EGY,2018,14488.209\nEgypt,EGY,2019,15026.568\nEgypt,EGY,2020,15309.236\nEgypt,EGY,2021,15579.016\nEgypt,EGY,2022,16360.391\nEgypt,EGY,2023,16691.387\nEgypt,EGY,2024,16798.152\n```\n\nHow does Egypt compare with Nigeria on this measure?","response":"This chart covers Egypt only, so Nigeria is not plotted and I cannot compare them from it. The chart does support statements about Egypt on its own: the series runs from 8,423.58 $ in 1995 to 16,798.15 $ in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Egypt__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nBangladesh,BGD,1995,2351.7039\nBangladesh,BGD,1996,2413.543\nBangladesh,BGD,1997,2475.5957\nBangladesh,BGD,1998,2555.0613\nBangladesh,BGD,1999,2624.0654\nBangladesh,BGD,2000,2712.935\nBangladesh,BGD,2001,2803.5547\nBangladesh,BGD,2002,2866.4346\nBangladesh,BGD,2003,2958.915\nBangladesh,BGD,2004,3071.838\nBangladesh,BGD,2005,3231.6138\nBangladesh,BGD,2006,3407.4272\nBangladesh,BGD,2007,3608.9155\nBangladesh,BGD,2008,3787.9382\nBangladesh,BGD,2009,3942.1362\nBangladesh,BGD,2010,4125.464\nBangladesh,BGD,2011,4352.4263\nBangladesh,BGD,2012,4592.0483\nBangladesh,BGD,2013,4822.726\nBangladesh,BGD,2014,5068.6396\nBangladesh,BGD,2015,5352.7114\nBangladesh,BGD,2016,5682.5356\nBangladesh,BGD,2017,6005.707\nBangladesh,BGD,2018,6392.5933\nBangladesh,BGD,2019,6838.326\nBangladesh,BGD,2020,7015.1978\nBangladesh,BGD,2021,7441.0693\nBangladesh,BGD,2022,7888.164\nBangladesh,BGD,2023,8242.398\nBangladesh,BGD,2024,8486.785\n```\n\nAccording to this chart, what was gdp per capita in Bangladesh in 2006?","response":"Reading the plotted point for 2006, gdp per capita in Bangladesh was 3,407.43 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nBangladesh,BGD,1995,2351.7039\nBangladesh,BGD,1996,2413.543\nBangladesh,BGD,1997,2475.5957\nBangladesh,BGD,1998,2555.0613\nBangladesh,BGD,1999,2624.0654\nBangladesh,BGD,2000,2712.935\nBangladesh,BGD,2001,2803.5547\nBangladesh,BGD,2002,2866.4346\nBangladesh,BGD,2003,2958.915\nBangladesh,BGD,2004,3071.838\nBangladesh,BGD,2005,3231.6138\nBangladesh,BGD,2006,3407.4272\nBangladesh,BGD,2007,3608.9155\nBangladesh,BGD,2008,3787.9382\nBangladesh,BGD,2009,3942.1362\nBangladesh,BGD,2010,4125.464\nBangladesh,BGD,2011,4352.4263\nBangladesh,BGD,2012,4592.0483\nBangladesh,BGD,2013,4822.726\nBangladesh,BGD,2014,5068.6396\nBangladesh,BGD,2015,5352.7114\nBangladesh,BGD,2016,5682.5356\nBangladesh,BGD,2017,6005.707\nBangladesh,BGD,2018,6392.5933\nBangladesh,BGD,2019,6838.326\nBangladesh,BGD,2020,7015.1978\nBangladesh,BGD,2021,7441.0693\nBangladesh,BGD,2022,7888.164\nBangladesh,BGD,2023,8242.398\nBangladesh,BGD,2024,8486.785\n```\n\nIn which year shown does gdp per capita reach its highest value for Bangladesh?","response":"The series peaks in 2024, at 8,486.78 $. The lowest point shown is 1995, at 2,351.7 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nBangladesh,BGD,1995,2351.7039\nBangladesh,BGD,1996,2413.543\nBangladesh,BGD,1997,2475.5957\nBangladesh,BGD,1998,2555.0613\nBangladesh,BGD,1999,2624.0654\nBangladesh,BGD,2000,2712.935\nBangladesh,BGD,2001,2803.5547\nBangladesh,BGD,2002,2866.4346\nBangladesh,BGD,2003,2958.915\nBangladesh,BGD,2004,3071.838\nBangladesh,BGD,2005,3231.6138\nBangladesh,BGD,2006,3407.4272\nBangladesh,BGD,2007,3608.9155\nBangladesh,BGD,2008,3787.9382\nBangladesh,BGD,2009,3942.1362\nBangladesh,BGD,2010,4125.464\nBangladesh,BGD,2011,4352.4263\nBangladesh,BGD,2012,4592.0483\nBangladesh,BGD,2013,4822.726\nBangladesh,BGD,2014,5068.6396\nBangladesh,BGD,2015,5352.7114\nBangladesh,BGD,2016,5682.5356\nBangladesh,BGD,2017,6005.707\nBangladesh,BGD,2018,6392.5933\nBangladesh,BGD,2019,6838.326\nBangladesh,BGD,2020,7015.1978\nBangladesh,BGD,2021,7441.0693\nBangladesh,BGD,2022,7888.164\nBangladesh,BGD,2023,8242.398\nBangladesh,BGD,2024,8486.785\n```\n\nHow much did gdp per capita change for Bangladesh between 1995 and 2024?","response":"It moved from 2,351.7 $ in 1995 to 8,486.78 $ in 2024, a change of 6,135.08 $ (+260.88%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nBangladesh,BGD,1995,2351.7039\nBangladesh,BGD,1996,2413.543\nBangladesh,BGD,1997,2475.5957\nBangladesh,BGD,1998,2555.0613\nBangladesh,BGD,1999,2624.0654\nBangladesh,BGD,2000,2712.935\nBangladesh,BGD,2001,2803.5547\nBangladesh,BGD,2002,2866.4346\nBangladesh,BGD,2003,2958.915\nBangladesh,BGD,2004,3071.838\nBangladesh,BGD,2005,3231.6138\nBangladesh,BGD,2006,3407.4272\nBangladesh,BGD,2007,3608.9155\nBangladesh,BGD,2008,3787.9382\nBangladesh,BGD,2009,3942.1362\nBangladesh,BGD,2010,4125.464\nBangladesh,BGD,2011,4352.4263\nBangladesh,BGD,2012,4592.0483\nBangladesh,BGD,2013,4822.726\nBangladesh,BGD,2014,5068.6396\nBangladesh,BGD,2015,5352.7114\nBangladesh,BGD,2016,5682.5356\nBangladesh,BGD,2017,6005.707\nBangladesh,BGD,2018,6392.5933\nBangladesh,BGD,2019,6838.326\nBangladesh,BGD,2020,7015.1978\nBangladesh,BGD,2021,7441.0693\nBangladesh,BGD,2022,7888.164\nBangladesh,BGD,2023,8242.398\nBangladesh,BGD,2024,8486.785\n```\n\nWas gdp per capita in Bangladesh higher in 2003 or 2012?","response":"Higher in 2012. The chart gives 2,958.91 $ for 2003 and 4,592.05 $ for 2012, a difference of 1,633.13 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nBangladesh,BGD,1995,2351.7039\nBangladesh,BGD,1996,2413.543\nBangladesh,BGD,1997,2475.5957\nBangladesh,BGD,1998,2555.0613\nBangladesh,BGD,1999,2624.0654\nBangladesh,BGD,2000,2712.935\nBangladesh,BGD,2001,2803.5547\nBangladesh,BGD,2002,2866.4346\nBangladesh,BGD,2003,2958.915\nBangladesh,BGD,2004,3071.838\nBangladesh,BGD,2005,3231.6138\nBangladesh,BGD,2006,3407.4272\nBangladesh,BGD,2007,3608.9155\nBangladesh,BGD,2008,3787.9382\nBangladesh,BGD,2009,3942.1362\nBangladesh,BGD,2010,4125.464\nBangladesh,BGD,2011,4352.4263\nBangladesh,BGD,2012,4592.0483\nBangladesh,BGD,2013,4822.726\nBangladesh,BGD,2014,5068.6396\nBangladesh,BGD,2015,5352.7114\nBangladesh,BGD,2016,5682.5356\nBangladesh,BGD,2017,6005.707\nBangladesh,BGD,2018,6392.5933\nBangladesh,BGD,2019,6838.326\nBangladesh,BGD,2020,7015.1978\nBangladesh,BGD,2021,7441.0693\nBangladesh,BGD,2022,7888.164\nBangladesh,BGD,2023,8242.398\nBangladesh,BGD,2024,8486.785\n```\n\nAccording to this chart, what was gdp per capita in Bangladesh in 2006?","response":"Reading the plotted point for 2006, gdp per capita in Bangladesh was 3,407.43 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nBangladesh,BGD,1995,2351.7039\nBangladesh,BGD,1996,2413.543\nBangladesh,BGD,1997,2475.5957\nBangladesh,BGD,1998,2555.0613\nBangladesh,BGD,1999,2624.0654\nBangladesh,BGD,2000,2712.935\nBangladesh,BGD,2001,2803.5547\nBangladesh,BGD,2002,2866.4346\nBangladesh,BGD,2003,2958.915\nBangladesh,BGD,2004,3071.838\nBangladesh,BGD,2005,3231.6138\nBangladesh,BGD,2006,3407.4272\nBangladesh,BGD,2007,3608.9155\nBangladesh,BGD,2008,3787.9382\nBangladesh,BGD,2009,3942.1362\nBangladesh,BGD,2010,4125.464\nBangladesh,BGD,2011,4352.4263\nBangladesh,BGD,2012,4592.0483\nBangladesh,BGD,2013,4822.726\nBangladesh,BGD,2014,5068.6396\nBangladesh,BGD,2015,5352.7114\nBangladesh,BGD,2016,5682.5356\nBangladesh,BGD,2017,6005.707\nBangladesh,BGD,2018,6392.5933\nBangladesh,BGD,2019,6838.326\nBangladesh,BGD,2020,7015.1978\nBangladesh,BGD,2021,7441.0693\nBangladesh,BGD,2022,7888.164\nBangladesh,BGD,2023,8242.398\nBangladesh,BGD,2024,8486.785\n```\n\nIn which year shown does gdp per capita reach its highest value for Bangladesh?","response":"The series peaks in 2024, at 8,486.78 $. The lowest point shown is 1995, at 2,351.7 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nBangladesh,BGD,1995,2351.7039\nBangladesh,BGD,1996,2413.543\nBangladesh,BGD,1997,2475.5957\nBangladesh,BGD,1998,2555.0613\nBangladesh,BGD,1999,2624.0654\nBangladesh,BGD,2000,2712.935\nBangladesh,BGD,2001,2803.5547\nBangladesh,BGD,2002,2866.4346\nBangladesh,BGD,2003,2958.915\nBangladesh,BGD,2004,3071.838\nBangladesh,BGD,2005,3231.6138\nBangladesh,BGD,2006,3407.4272\nBangladesh,BGD,2007,3608.9155\nBangladesh,BGD,2008,3787.9382\nBangladesh,BGD,2009,3942.1362\nBangladesh,BGD,2010,4125.464\nBangladesh,BGD,2011,4352.4263\nBangladesh,BGD,2012,4592.0483\nBangladesh,BGD,2013,4822.726\nBangladesh,BGD,2014,5068.6396\nBangladesh,BGD,2015,5352.7114\nBangladesh,BGD,2016,5682.5356\nBangladesh,BGD,2017,6005.707\nBangladesh,BGD,2018,6392.5933\nBangladesh,BGD,2019,6838.326\nBangladesh,BGD,2020,7015.1978\nBangladesh,BGD,2021,7441.0693\nBangladesh,BGD,2022,7888.164\nBangladesh,BGD,2023,8242.398\nBangladesh,BGD,2024,8486.785\n```\n\nHow much did gdp per capita change for Bangladesh between 1995 and 2024?","response":"It moved from 2,351.7 $ in 1995 to 8,486.78 $ in 2024, a change of 6,135.08 $ (+260.88%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nBangladesh,BGD,1995,2351.7039\nBangladesh,BGD,1996,2413.543\nBangladesh,BGD,1997,2475.5957\nBangladesh,BGD,1998,2555.0613\nBangladesh,BGD,1999,2624.0654\nBangladesh,BGD,2000,2712.935\nBangladesh,BGD,2001,2803.5547\nBangladesh,BGD,2002,2866.4346\nBangladesh,BGD,2003,2958.915\nBangladesh,BGD,2004,3071.838\nBangladesh,BGD,2005,3231.6138\nBangladesh,BGD,2006,3407.4272\nBangladesh,BGD,2007,3608.9155\nBangladesh,BGD,2008,3787.9382\nBangladesh,BGD,2009,3942.1362\nBangladesh,BGD,2010,4125.464\nBangladesh,BGD,2011,4352.4263\nBangladesh,BGD,2012,4592.0483\nBangladesh,BGD,2013,4822.726\nBangladesh,BGD,2014,5068.6396\nBangladesh,BGD,2015,5352.7114\nBangladesh,BGD,2016,5682.5356\nBangladesh,BGD,2017,6005.707\nBangladesh,BGD,2018,6392.5933\nBangladesh,BGD,2019,6838.326\nBangladesh,BGD,2020,7015.1978\nBangladesh,BGD,2021,7441.0693\nBangladesh,BGD,2022,7888.164\nBangladesh,BGD,2023,8242.398\nBangladesh,BGD,2024,8486.785\n```\n\nWas gdp per capita in Bangladesh higher in 2003 or 2012?","response":"Higher in 2012. The chart gives 2,958.91 $ for 2003 and 4,592.05 $ for 2012, a difference of 1,633.13 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nBangladesh,BGD,1995,2351.7039\nBangladesh,BGD,1996,2413.543\nBangladesh,BGD,1997,2475.5957\nBangladesh,BGD,1998,2555.0613\nBangladesh,BGD,1999,2624.0654\nBangladesh,BGD,2000,2712.935\nBangladesh,BGD,2001,2803.5547\nBangladesh,BGD,2002,2866.4346\nBangladesh,BGD,2003,2958.915\nBangladesh,BGD,2004,3071.838\nBangladesh,BGD,2005,3231.6138\nBangladesh,BGD,2006,3407.4272\nBangladesh,BGD,2007,3608.9155\nBangladesh,BGD,2008,3787.9382\nBangladesh,BGD,2009,3942.1362\nBangladesh,BGD,2010,4125.464\nBangladesh,BGD,2011,4352.4263\nBangladesh,BGD,2012,4592.0483\nBangladesh,BGD,2013,4822.726\nBangladesh,BGD,2014,5068.6396\nBangladesh,BGD,2015,5352.7114\nBangladesh,BGD,2016,5682.5356\nBangladesh,BGD,2017,6005.707\nBangladesh,BGD,2018,6392.5933\nBangladesh,BGD,2019,6838.326\nBangladesh,BGD,2020,7015.1978\nBangladesh,BGD,2021,7441.0693\nBangladesh,BGD,2022,7888.164\nBangladesh,BGD,2023,8242.398\nBangladesh,BGD,2024,8486.785\n```\n\nThis chart makes the change in gdp per capita for Bangladesh look dramatic. Is it?","response":"The values change by +260.88%, from 2,351.7 $ to 8,486.78 $. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nBangladesh,BGD,1995,2351.7039\nBangladesh,BGD,1996,2413.543\nBangladesh,BGD,1997,2475.5957\nBangladesh,BGD,1998,2555.0613\nBangladesh,BGD,1999,2624.0654\nBangladesh,BGD,2000,2712.935\nBangladesh,BGD,2001,2803.5547\nBangladesh,BGD,2002,2866.4346\nBangladesh,BGD,2003,2958.915\nBangladesh,BGD,2004,3071.838\nBangladesh,BGD,2005,3231.6138\nBangladesh,BGD,2006,3407.4272\nBangladesh,BGD,2007,3608.9155\nBangladesh,BGD,2008,3787.9382\nBangladesh,BGD,2009,3942.1362\nBangladesh,BGD,2010,4125.464\nBangladesh,BGD,2011,4352.4263\nBangladesh,BGD,2012,4592.0483\nBangladesh,BGD,2013,4822.726\nBangladesh,BGD,2014,5068.6396\nBangladesh,BGD,2015,5352.7114\nBangladesh,BGD,2016,5682.5356\nBangladesh,BGD,2017,6005.707\nBangladesh,BGD,2018,6392.5933\nBangladesh,BGD,2019,6838.326\nBangladesh,BGD,2020,7015.1978\nBangladesh,BGD,2021,7441.0693\nBangladesh,BGD,2022,7888.164\nBangladesh,BGD,2023,8242.398\nBangladesh,BGD,2024,8486.785\n```\n\nHow does Bangladesh compare with Kenya on this measure?","response":"This chart covers Bangladesh only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about Bangladesh on its own: the series runs from 2,351.7 $ in 1995 to 8,486.78 $ in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Bangladesh__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEthiopia,ETH,1995,760.26434\nEthiopia,ETH,1996,826.99164\nEthiopia,ETH,1997,826.0052\nEthiopia,ETH,1998,772.7866\nEthiopia,ETH,1999,787.67957\nEthiopia,ETH,2000,810.27075\nEthiopia,ETH,2001,851.3134\nEthiopia,ETH,2002,838.29803\nEthiopia,ETH,2003,795.77216\nEthiopia,ETH,2004,877.1145\nEthiopia,ETH,2005,952.11566\nEthiopia,ETH,2006,1024.7291\nEthiopia,ETH,2007,1109.1433\nEthiopia,ETH,2008,1193.7473\nEthiopia,ETH,2009,1262.464\nEthiopia,ETH,2010,1381.1904\nEthiopia,ETH,2011,1492.5339\nEthiopia,ETH,2012,1576.7688\nEthiopia,ETH,2013,1696.8651\nEthiopia,ETH,2014,1821.3916\nEthiopia,ETH,2015,1957.4146\nEthiopia,ETH,2016,2084.8406\nEthiopia,ETH,2017,2222.8281\nEthiopia,ETH,2018,2311.165\nEthiopia,ETH,2019,2437.9705\nEthiopia,ETH,2020,2516.549\nEthiopia,ETH,2021,2588.413\nEthiopia,ETH,2022,2655.5928\nEthiopia,ETH,2023,2757.9592\nEthiopia,ETH,2024,2892.2222\n```\n\nAccording to this chart, what was gdp per capita in Ethiopia in 2018?","response":"Reading the plotted point for 2018, gdp per capita in Ethiopia was 2,311.16 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEthiopia,ETH,1995,760.26434\nEthiopia,ETH,1996,826.99164\nEthiopia,ETH,1997,826.0052\nEthiopia,ETH,1998,772.7866\nEthiopia,ETH,1999,787.67957\nEthiopia,ETH,2000,810.27075\nEthiopia,ETH,2001,851.3134\nEthiopia,ETH,2002,838.29803\nEthiopia,ETH,2003,795.77216\nEthiopia,ETH,2004,877.1145\nEthiopia,ETH,2005,952.11566\nEthiopia,ETH,2006,1024.7291\nEthiopia,ETH,2007,1109.1433\nEthiopia,ETH,2008,1193.7473\nEthiopia,ETH,2009,1262.464\nEthiopia,ETH,2010,1381.1904\nEthiopia,ETH,2011,1492.5339\nEthiopia,ETH,2012,1576.7688\nEthiopia,ETH,2013,1696.8651\nEthiopia,ETH,2014,1821.3916\nEthiopia,ETH,2015,1957.4146\nEthiopia,ETH,2016,2084.8406\nEthiopia,ETH,2017,2222.8281\nEthiopia,ETH,2018,2311.165\nEthiopia,ETH,2019,2437.9705\nEthiopia,ETH,2020,2516.549\nEthiopia,ETH,2021,2588.413\nEthiopia,ETH,2022,2655.5928\nEthiopia,ETH,2023,2757.9592\nEthiopia,ETH,2024,2892.2222\n```\n\nIn which year shown does gdp per capita reach its highest value for Ethiopia?","response":"The series peaks in 2024, at 2,892.22 $. The lowest point shown is 1995, at 760.26 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEthiopia,ETH,1995,760.26434\nEthiopia,ETH,1996,826.99164\nEthiopia,ETH,1997,826.0052\nEthiopia,ETH,1998,772.7866\nEthiopia,ETH,1999,787.67957\nEthiopia,ETH,2000,810.27075\nEthiopia,ETH,2001,851.3134\nEthiopia,ETH,2002,838.29803\nEthiopia,ETH,2003,795.77216\nEthiopia,ETH,2004,877.1145\nEthiopia,ETH,2005,952.11566\nEthiopia,ETH,2006,1024.7291\nEthiopia,ETH,2007,1109.1433\nEthiopia,ETH,2008,1193.7473\nEthiopia,ETH,2009,1262.464\nEthiopia,ETH,2010,1381.1904\nEthiopia,ETH,2011,1492.5339\nEthiopia,ETH,2012,1576.7688\nEthiopia,ETH,2013,1696.8651\nEthiopia,ETH,2014,1821.3916\nEthiopia,ETH,2015,1957.4146\nEthiopia,ETH,2016,2084.8406\nEthiopia,ETH,2017,2222.8281\nEthiopia,ETH,2018,2311.165\nEthiopia,ETH,2019,2437.9705\nEthiopia,ETH,2020,2516.549\nEthiopia,ETH,2021,2588.413\nEthiopia,ETH,2022,2655.5928\nEthiopia,ETH,2023,2757.9592\nEthiopia,ETH,2024,2892.2222\n```\n\nHow much did gdp per capita change for Ethiopia between 1995 and 2024?","response":"It moved from 760.26 $ in 1995 to 2,892.22 $ in 2024, a change of 2,131.96 $ (+280.42%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEthiopia,ETH,1995,760.26434\nEthiopia,ETH,1996,826.99164\nEthiopia,ETH,1997,826.0052\nEthiopia,ETH,1998,772.7866\nEthiopia,ETH,1999,787.67957\nEthiopia,ETH,2000,810.27075\nEthiopia,ETH,2001,851.3134\nEthiopia,ETH,2002,838.29803\nEthiopia,ETH,2003,795.77216\nEthiopia,ETH,2004,877.1145\nEthiopia,ETH,2005,952.11566\nEthiopia,ETH,2006,1024.7291\nEthiopia,ETH,2007,1109.1433\nEthiopia,ETH,2008,1193.7473\nEthiopia,ETH,2009,1262.464\nEthiopia,ETH,2010,1381.1904\nEthiopia,ETH,2011,1492.5339\nEthiopia,ETH,2012,1576.7688\nEthiopia,ETH,2013,1696.8651\nEthiopia,ETH,2014,1821.3916\nEthiopia,ETH,2015,1957.4146\nEthiopia,ETH,2016,2084.8406\nEthiopia,ETH,2017,2222.8281\nEthiopia,ETH,2018,2311.165\nEthiopia,ETH,2019,2437.9705\nEthiopia,ETH,2020,2516.549\nEthiopia,ETH,2021,2588.413\nEthiopia,ETH,2022,2655.5928\nEthiopia,ETH,2023,2757.9592\nEthiopia,ETH,2024,2892.2222\n```\n\nWas gdp per capita in Ethiopia higher in 2002 or 2022?","response":"Higher in 2022. The chart gives 838.3 $ for 2002 and 2,655.59 $ for 2022, a difference of 1,817.29 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEthiopia,ETH,1995,760.26434\nEthiopia,ETH,1996,826.99164\nEthiopia,ETH,1997,826.0052\nEthiopia,ETH,1998,772.7866\nEthiopia,ETH,1999,787.67957\nEthiopia,ETH,2000,810.27075\nEthiopia,ETH,2001,851.3134\nEthiopia,ETH,2002,838.29803\nEthiopia,ETH,2003,795.77216\nEthiopia,ETH,2004,877.1145\nEthiopia,ETH,2005,952.11566\nEthiopia,ETH,2006,1024.7291\nEthiopia,ETH,2007,1109.1433\nEthiopia,ETH,2008,1193.7473\nEthiopia,ETH,2009,1262.464\nEthiopia,ETH,2010,1381.1904\nEthiopia,ETH,2011,1492.5339\nEthiopia,ETH,2012,1576.7688\nEthiopia,ETH,2013,1696.8651\nEthiopia,ETH,2014,1821.3916\nEthiopia,ETH,2015,1957.4146\nEthiopia,ETH,2016,2084.8406\nEthiopia,ETH,2017,2222.8281\nEthiopia,ETH,2018,2311.165\nEthiopia,ETH,2019,2437.9705\nEthiopia,ETH,2020,2516.549\nEthiopia,ETH,2021,2588.413\nEthiopia,ETH,2022,2655.5928\nEthiopia,ETH,2023,2757.9592\nEthiopia,ETH,2024,2892.2222\n```\n\nAccording to this chart, what was gdp per capita in Ethiopia in 2018?","response":"Reading the plotted point for 2018, gdp per capita in Ethiopia was 2,311.16 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEthiopia,ETH,1995,760.26434\nEthiopia,ETH,1996,826.99164\nEthiopia,ETH,1997,826.0052\nEthiopia,ETH,1998,772.7866\nEthiopia,ETH,1999,787.67957\nEthiopia,ETH,2000,810.27075\nEthiopia,ETH,2001,851.3134\nEthiopia,ETH,2002,838.29803\nEthiopia,ETH,2003,795.77216\nEthiopia,ETH,2004,877.1145\nEthiopia,ETH,2005,952.11566\nEthiopia,ETH,2006,1024.7291\nEthiopia,ETH,2007,1109.1433\nEthiopia,ETH,2008,1193.7473\nEthiopia,ETH,2009,1262.464\nEthiopia,ETH,2010,1381.1904\nEthiopia,ETH,2011,1492.5339\nEthiopia,ETH,2012,1576.7688\nEthiopia,ETH,2013,1696.8651\nEthiopia,ETH,2014,1821.3916\nEthiopia,ETH,2015,1957.4146\nEthiopia,ETH,2016,2084.8406\nEthiopia,ETH,2017,2222.8281\nEthiopia,ETH,2018,2311.165\nEthiopia,ETH,2019,2437.9705\nEthiopia,ETH,2020,2516.549\nEthiopia,ETH,2021,2588.413\nEthiopia,ETH,2022,2655.5928\nEthiopia,ETH,2023,2757.9592\nEthiopia,ETH,2024,2892.2222\n```\n\nIn which year shown does gdp per capita reach its highest value for Ethiopia?","response":"The series peaks in 2024, at 2,892.22 $. The lowest point shown is 1995, at 760.26 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEthiopia,ETH,1995,760.26434\nEthiopia,ETH,1996,826.99164\nEthiopia,ETH,1997,826.0052\nEthiopia,ETH,1998,772.7866\nEthiopia,ETH,1999,787.67957\nEthiopia,ETH,2000,810.27075\nEthiopia,ETH,2001,851.3134\nEthiopia,ETH,2002,838.29803\nEthiopia,ETH,2003,795.77216\nEthiopia,ETH,2004,877.1145\nEthiopia,ETH,2005,952.11566\nEthiopia,ETH,2006,1024.7291\nEthiopia,ETH,2007,1109.1433\nEthiopia,ETH,2008,1193.7473\nEthiopia,ETH,2009,1262.464\nEthiopia,ETH,2010,1381.1904\nEthiopia,ETH,2011,1492.5339\nEthiopia,ETH,2012,1576.7688\nEthiopia,ETH,2013,1696.8651\nEthiopia,ETH,2014,1821.3916\nEthiopia,ETH,2015,1957.4146\nEthiopia,ETH,2016,2084.8406\nEthiopia,ETH,2017,2222.8281\nEthiopia,ETH,2018,2311.165\nEthiopia,ETH,2019,2437.9705\nEthiopia,ETH,2020,2516.549\nEthiopia,ETH,2021,2588.413\nEthiopia,ETH,2022,2655.5928\nEthiopia,ETH,2023,2757.9592\nEthiopia,ETH,2024,2892.2222\n```\n\nHow much did gdp per capita change for Ethiopia between 1995 and 2024?","response":"It moved from 760.26 $ in 1995 to 2,892.22 $ in 2024, a change of 2,131.96 $ (+280.42%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEthiopia,ETH,1995,760.26434\nEthiopia,ETH,1996,826.99164\nEthiopia,ETH,1997,826.0052\nEthiopia,ETH,1998,772.7866\nEthiopia,ETH,1999,787.67957\nEthiopia,ETH,2000,810.27075\nEthiopia,ETH,2001,851.3134\nEthiopia,ETH,2002,838.29803\nEthiopia,ETH,2003,795.77216\nEthiopia,ETH,2004,877.1145\nEthiopia,ETH,2005,952.11566\nEthiopia,ETH,2006,1024.7291\nEthiopia,ETH,2007,1109.1433\nEthiopia,ETH,2008,1193.7473\nEthiopia,ETH,2009,1262.464\nEthiopia,ETH,2010,1381.1904\nEthiopia,ETH,2011,1492.5339\nEthiopia,ETH,2012,1576.7688\nEthiopia,ETH,2013,1696.8651\nEthiopia,ETH,2014,1821.3916\nEthiopia,ETH,2015,1957.4146\nEthiopia,ETH,2016,2084.8406\nEthiopia,ETH,2017,2222.8281\nEthiopia,ETH,2018,2311.165\nEthiopia,ETH,2019,2437.9705\nEthiopia,ETH,2020,2516.549\nEthiopia,ETH,2021,2588.413\nEthiopia,ETH,2022,2655.5928\nEthiopia,ETH,2023,2757.9592\nEthiopia,ETH,2024,2892.2222\n```\n\nWas gdp per capita in Ethiopia higher in 2002 or 2022?","response":"Higher in 2022. The chart gives 838.3 $ for 2002 and 2,655.59 $ for 2022, a difference of 1,817.29 $.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEthiopia,ETH,1995,760.26434\nEthiopia,ETH,1996,826.99164\nEthiopia,ETH,1997,826.0052\nEthiopia,ETH,1998,772.7866\nEthiopia,ETH,1999,787.67957\nEthiopia,ETH,2000,810.27075\nEthiopia,ETH,2001,851.3134\nEthiopia,ETH,2002,838.29803\nEthiopia,ETH,2003,795.77216\nEthiopia,ETH,2004,877.1145\nEthiopia,ETH,2005,952.11566\nEthiopia,ETH,2006,1024.7291\nEthiopia,ETH,2007,1109.1433\nEthiopia,ETH,2008,1193.7473\nEthiopia,ETH,2009,1262.464\nEthiopia,ETH,2010,1381.1904\nEthiopia,ETH,2011,1492.5339\nEthiopia,ETH,2012,1576.7688\nEthiopia,ETH,2013,1696.8651\nEthiopia,ETH,2014,1821.3916\nEthiopia,ETH,2015,1957.4146\nEthiopia,ETH,2016,2084.8406\nEthiopia,ETH,2017,2222.8281\nEthiopia,ETH,2018,2311.165\nEthiopia,ETH,2019,2437.9705\nEthiopia,ETH,2020,2516.549\nEthiopia,ETH,2021,2588.413\nEthiopia,ETH,2022,2655.5928\nEthiopia,ETH,2023,2757.9592\nEthiopia,ETH,2024,2892.2222\n```\n\nBased on this chart, is gdp per capita in Ethiopia rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 760.26 $ to 2,892.22 $, a change of +280.42%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,GDP per capita\nEthiopia,ETH,1995,760.26434\nEthiopia,ETH,1996,826.99164\nEthiopia,ETH,1997,826.0052\nEthiopia,ETH,1998,772.7866\nEthiopia,ETH,1999,787.67957\nEthiopia,ETH,2000,810.27075\nEthiopia,ETH,2001,851.3134\nEthiopia,ETH,2002,838.29803\nEthiopia,ETH,2003,795.77216\nEthiopia,ETH,2004,877.1145\nEthiopia,ETH,2005,952.11566\nEthiopia,ETH,2006,1024.7291\nEthiopia,ETH,2007,1109.1433\nEthiopia,ETH,2008,1193.7473\nEthiopia,ETH,2009,1262.464\nEthiopia,ETH,2010,1381.1904\nEthiopia,ETH,2011,1492.5339\nEthiopia,ETH,2012,1576.7688\nEthiopia,ETH,2013,1696.8651\nEthiopia,ETH,2014,1821.3916\nEthiopia,ETH,2015,1957.4146\nEthiopia,ETH,2016,2084.8406\nEthiopia,ETH,2017,2222.8281\nEthiopia,ETH,2018,2311.165\nEthiopia,ETH,2019,2437.9705\nEthiopia,ETH,2020,2516.549\nEthiopia,ETH,2021,2588.413\nEthiopia,ETH,2022,2655.5928\nEthiopia,ETH,2023,2757.9592\nEthiopia,ETH,2024,2892.2222\n```\n\nWhat caused the change in gdp per capita for Ethiopia around 2017?","response":"The chart shows that the change happened: gdp per capita moves to 2,222.83 $ in 2017. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/gdp-per-capita-worldbank__Ethiopia__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"GDP per capita","source_citation":"Eurostat, OECD, IMF, and World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/gdp-per-capita-worldbank?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nEthiopia,ETH,1995,73.51546883583069\nEthiopia,ETH,1999,65.88854193687439\nEthiopia,ETH,2004,41.32879078388214\nEthiopia,ETH,2010,37.40920126438141\nEthiopia,ETH,2015,32.99904465675354\nEthiopia,ETH,2021,38.63611519336701\n```\n\nAccording to this chart, what was share of population in poverty ($3 a day) in Ethiopia in 2010?","response":"Reading the plotted point for 2010, share of population in poverty ($3 a day) in Ethiopia was 37.41 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nEthiopia,ETH,1995,73.51546883583069\nEthiopia,ETH,1999,65.88854193687439\nEthiopia,ETH,2004,41.32879078388214\nEthiopia,ETH,2010,37.40920126438141\nEthiopia,ETH,2015,32.99904465675354\nEthiopia,ETH,2021,38.63611519336701\n```\n\nIn which year shown does share of population in poverty ($3 a day) reach its highest value for Ethiopia?","response":"The series peaks in 1995, at 73.52 %. The lowest point shown is 2015, at 33 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nEthiopia,ETH,1995,73.51546883583069\nEthiopia,ETH,1999,65.88854193687439\nEthiopia,ETH,2004,41.32879078388214\nEthiopia,ETH,2010,37.40920126438141\nEthiopia,ETH,2015,32.99904465675354\nEthiopia,ETH,2021,38.63611519336701\n```\n\nHow much did share of population in poverty ($3 a day) change for Ethiopia between 1995 and 2021?","response":"It moved from 73.52 % in 1995 to 38.64 % in 2021, a change of -34.88 % (-47.44%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nEthiopia,ETH,1995,73.51546883583069\nEthiopia,ETH,1999,65.88854193687439\nEthiopia,ETH,2004,41.32879078388214\nEthiopia,ETH,2010,37.40920126438141\nEthiopia,ETH,2015,32.99904465675354\nEthiopia,ETH,2021,38.63611519336701\n```\n\nWas share of population in poverty ($3 a day) in Ethiopia higher in 2004 or 2021?","response":"Higher in 2004. The chart gives 41.33 % for 2004 and 38.64 % for 2021, a difference of 2.69 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nEthiopia,ETH,1995,73.51546883583069\nEthiopia,ETH,1999,65.88854193687439\nEthiopia,ETH,2004,41.32879078388214\nEthiopia,ETH,2010,37.40920126438141\nEthiopia,ETH,2015,32.99904465675354\nEthiopia,ETH,2021,38.63611519336701\n```\n\nAccording to this chart, what was share of population in poverty ($3 a day) in Ethiopia in 2010?","response":"Reading the plotted point for 2010, share of population in poverty ($3 a day) in Ethiopia was 37.41 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nEthiopia,ETH,1995,73.51546883583069\nEthiopia,ETH,1999,65.88854193687439\nEthiopia,ETH,2004,41.32879078388214\nEthiopia,ETH,2010,37.40920126438141\nEthiopia,ETH,2015,32.99904465675354\nEthiopia,ETH,2021,38.63611519336701\n```\n\nIn which year shown does share of population in poverty ($3 a day) reach its highest value for Ethiopia?","response":"The series peaks in 1995, at 73.52 %. The lowest point shown is 2015, at 33 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nEthiopia,ETH,1995,73.51546883583069\nEthiopia,ETH,1999,65.88854193687439\nEthiopia,ETH,2004,41.32879078388214\nEthiopia,ETH,2010,37.40920126438141\nEthiopia,ETH,2015,32.99904465675354\nEthiopia,ETH,2021,38.63611519336701\n```\n\nHow much did share of population in poverty ($3 a day) change for Ethiopia between 1995 and 2021?","response":"It moved from 73.52 % in 1995 to 38.64 % in 2021, a change of -34.88 % (-47.44%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nEthiopia,ETH,1995,73.51546883583069\nEthiopia,ETH,1999,65.88854193687439\nEthiopia,ETH,2004,41.32879078388214\nEthiopia,ETH,2010,37.40920126438141\nEthiopia,ETH,2015,32.99904465675354\nEthiopia,ETH,2021,38.63611519336701\n```\n\nWas share of population in poverty ($3 a day) in Ethiopia higher in 2004 or 2021?","response":"Higher in 2004. The chart gives 41.33 % for 2004 and 38.64 % for 2021, a difference of 2.69 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nEthiopia,ETH,1995,73.51546883583069\nEthiopia,ETH,1999,65.88854193687439\nEthiopia,ETH,2004,41.32879078388214\nEthiopia,ETH,2010,37.40920126438141\nEthiopia,ETH,2015,32.99904465675354\nEthiopia,ETH,2021,38.63611519336701\n```\n\nBased on this chart, is share of population in poverty ($3 a day) in Ethiopia rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 73.52 % to 38.64 %, a change of -47.44%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nEthiopia,ETH,1995,73.51546883583069\nEthiopia,ETH,1999,65.88854193687439\nEthiopia,ETH,2004,41.32879078388214\nEthiopia,ETH,2010,37.40920126438141\nEthiopia,ETH,2015,32.99904465675354\nEthiopia,ETH,2021,38.63611519336701\n```\n\nThis chart makes the change in share of population in poverty ($3 a day) for Ethiopia look dramatic. Is it?","response":"The values change by -47.44%, from 73.52 % to 38.64 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nEthiopia,ETH,1995,73.51546883583069\nEthiopia,ETH,1999,65.88854193687439\nEthiopia,ETH,2004,41.32879078388214\nEthiopia,ETH,2010,37.40920126438141\nEthiopia,ETH,2015,32.99904465675354\nEthiopia,ETH,2021,38.63611519336701\n```\n\nWhat was share of population in poverty ($3 a day) for Ethiopia in 1980?","response":"That year is outside this chart. The series runs 1995 to 2021, and 1980 falls before it begins, so there is no value to read. The earliest point available is 1995, at 73.52 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Ethiopia__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nPeru,PER,1997,26.864558458328247\nPeru,PER,1998,25.71415901184082\nPeru,PER,1999,26.296240091323853\nPeru,PER,2000,25.54161548614502\nPeru,PER,2001,27.397075295448303\nPeru,PER,2002,24.39258098602295\nPeru,PER,2003,22.456727921962734\nPeru,PER,2004,23.548194766044617\nPeru,PER,2005,25.375208258628845\nPeru,PER,2006,21.847257018089294\nPeru,PER,2007,18.89331191778183\nPeru,PER,2008,15.808908641338348\nPeru,PER,2009,13.673301041126251\nPeru,PER,2010,11.200562864542007\nPeru,PER,2011,10.339926183223724\nPeru,PER,2012,9.527238458395004\nPeru,PER,2013,8.616562932729721\nPeru,PER,2014,7.993311434984207\nPeru,PER,2015,7.958061993122101\nPeru,PER,2016,7.469327747821808\nPeru,PER,2017,7.314062118530273\nPeru,PER,2018,6.07524998486042\nPeru,PER,2019,5.419251695275307\nPeru,PER,2020,10.30815690755844\nPeru,PER,2021,5.189844593405724\nPeru,PER,2022,4.840824007987976\nPeru,PER,2023,5.878738686442375\nPeru,PER,2024,5.1405638456344604\n```\n\nAccording to this chart, what was share of population in poverty ($3 a day) in Peru in 2024?","response":"Reading the plotted point for 2024, share of population in poverty ($3 a day) in Peru was 5.14 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nPeru,PER,1997,26.864558458328247\nPeru,PER,1998,25.71415901184082\nPeru,PER,1999,26.296240091323853\nPeru,PER,2000,25.54161548614502\nPeru,PER,2001,27.397075295448303\nPeru,PER,2002,24.39258098602295\nPeru,PER,2003,22.456727921962734\nPeru,PER,2004,23.548194766044617\nPeru,PER,2005,25.375208258628845\nPeru,PER,2006,21.847257018089294\nPeru,PER,2007,18.89331191778183\nPeru,PER,2008,15.808908641338348\nPeru,PER,2009,13.673301041126251\nPeru,PER,2010,11.200562864542007\nPeru,PER,2011,10.339926183223724\nPeru,PER,2012,9.527238458395004\nPeru,PER,2013,8.616562932729721\nPeru,PER,2014,7.993311434984207\nPeru,PER,2015,7.958061993122101\nPeru,PER,2016,7.469327747821808\nPeru,PER,2017,7.314062118530273\nPeru,PER,2018,6.07524998486042\nPeru,PER,2019,5.419251695275307\nPeru,PER,2020,10.30815690755844\nPeru,PER,2021,5.189844593405724\nPeru,PER,2022,4.840824007987976\nPeru,PER,2023,5.878738686442375\nPeru,PER,2024,5.1405638456344604\n```\n\nIn which year shown does share of population in poverty ($3 a day) reach its highest value for Peru?","response":"The series peaks in 2001, at 27.4 %. The lowest point shown is 2022, at 4.84 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nPeru,PER,1997,26.864558458328247\nPeru,PER,1998,25.71415901184082\nPeru,PER,1999,26.296240091323853\nPeru,PER,2000,25.54161548614502\nPeru,PER,2001,27.397075295448303\nPeru,PER,2002,24.39258098602295\nPeru,PER,2003,22.456727921962734\nPeru,PER,2004,23.548194766044617\nPeru,PER,2005,25.375208258628845\nPeru,PER,2006,21.847257018089294\nPeru,PER,2007,18.89331191778183\nPeru,PER,2008,15.808908641338348\nPeru,PER,2009,13.673301041126251\nPeru,PER,2010,11.200562864542007\nPeru,PER,2011,10.339926183223724\nPeru,PER,2012,9.527238458395004\nPeru,PER,2013,8.616562932729721\nPeru,PER,2014,7.993311434984207\nPeru,PER,2015,7.958061993122101\nPeru,PER,2016,7.469327747821808\nPeru,PER,2017,7.314062118530273\nPeru,PER,2018,6.07524998486042\nPeru,PER,2019,5.419251695275307\nPeru,PER,2020,10.30815690755844\nPeru,PER,2021,5.189844593405724\nPeru,PER,2022,4.840824007987976\nPeru,PER,2023,5.878738686442375\nPeru,PER,2024,5.1405638456344604\n```\n\nHow much did share of population in poverty ($3 a day) change for Peru between 1997 and 2024?","response":"It moved from 26.86 % in 1997 to 5.14 % in 2024, a change of -21.72 % (-80.86%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nPeru,PER,1997,26.864558458328247\nPeru,PER,1998,25.71415901184082\nPeru,PER,1999,26.296240091323853\nPeru,PER,2000,25.54161548614502\nPeru,PER,2001,27.397075295448303\nPeru,PER,2002,24.39258098602295\nPeru,PER,2003,22.456727921962734\nPeru,PER,2004,23.548194766044617\nPeru,PER,2005,25.375208258628845\nPeru,PER,2006,21.847257018089294\nPeru,PER,2007,18.89331191778183\nPeru,PER,2008,15.808908641338348\nPeru,PER,2009,13.673301041126251\nPeru,PER,2010,11.200562864542007\nPeru,PER,2011,10.339926183223724\nPeru,PER,2012,9.527238458395004\nPeru,PER,2013,8.616562932729721\nPeru,PER,2014,7.993311434984207\nPeru,PER,2015,7.958061993122101\nPeru,PER,2016,7.469327747821808\nPeru,PER,2017,7.314062118530273\nPeru,PER,2018,6.07524998486042\nPeru,PER,2019,5.419251695275307\nPeru,PER,2020,10.30815690755844\nPeru,PER,2021,5.189844593405724\nPeru,PER,2022,4.840824007987976\nPeru,PER,2023,5.878738686442375\nPeru,PER,2024,5.1405638456344604\n```\n\nWas share of population in poverty ($3 a day) in Peru higher in 2000 or 2018?","response":"Higher in 2000. The chart gives 25.54 % for 2000 and 6.08 % for 2018, a difference of 19.47 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nPeru,PER,1997,26.864558458328247\nPeru,PER,1998,25.71415901184082\nPeru,PER,1999,26.296240091323853\nPeru,PER,2000,25.54161548614502\nPeru,PER,2001,27.397075295448303\nPeru,PER,2002,24.39258098602295\nPeru,PER,2003,22.456727921962734\nPeru,PER,2004,23.548194766044617\nPeru,PER,2005,25.375208258628845\nPeru,PER,2006,21.847257018089294\nPeru,PER,2007,18.89331191778183\nPeru,PER,2008,15.808908641338348\nPeru,PER,2009,13.673301041126251\nPeru,PER,2010,11.200562864542007\nPeru,PER,2011,10.339926183223724\nPeru,PER,2012,9.527238458395004\nPeru,PER,2013,8.616562932729721\nPeru,PER,2014,7.993311434984207\nPeru,PER,2015,7.958061993122101\nPeru,PER,2016,7.469327747821808\nPeru,PER,2017,7.314062118530273\nPeru,PER,2018,6.07524998486042\nPeru,PER,2019,5.419251695275307\nPeru,PER,2020,10.30815690755844\nPeru,PER,2021,5.189844593405724\nPeru,PER,2022,4.840824007987976\nPeru,PER,2023,5.878738686442375\nPeru,PER,2024,5.1405638456344604\n```\n\nAccording to this chart, what was share of population in poverty ($3 a day) in Peru in 2024?","response":"Reading the plotted point for 2024, share of population in poverty ($3 a day) in Peru was 5.14 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nPeru,PER,1997,26.864558458328247\nPeru,PER,1998,25.71415901184082\nPeru,PER,1999,26.296240091323853\nPeru,PER,2000,25.54161548614502\nPeru,PER,2001,27.397075295448303\nPeru,PER,2002,24.39258098602295\nPeru,PER,2003,22.456727921962734\nPeru,PER,2004,23.548194766044617\nPeru,PER,2005,25.375208258628845\nPeru,PER,2006,21.847257018089294\nPeru,PER,2007,18.89331191778183\nPeru,PER,2008,15.808908641338348\nPeru,PER,2009,13.673301041126251\nPeru,PER,2010,11.200562864542007\nPeru,PER,2011,10.339926183223724\nPeru,PER,2012,9.527238458395004\nPeru,PER,2013,8.616562932729721\nPeru,PER,2014,7.993311434984207\nPeru,PER,2015,7.958061993122101\nPeru,PER,2016,7.469327747821808\nPeru,PER,2017,7.314062118530273\nPeru,PER,2018,6.07524998486042\nPeru,PER,2019,5.419251695275307\nPeru,PER,2020,10.30815690755844\nPeru,PER,2021,5.189844593405724\nPeru,PER,2022,4.840824007987976\nPeru,PER,2023,5.878738686442375\nPeru,PER,2024,5.1405638456344604\n```\n\nIn which year shown does share of population in poverty ($3 a day) reach its highest value for Peru?","response":"The series peaks in 2001, at 27.4 %. The lowest point shown is 2022, at 4.84 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nPeru,PER,1997,26.864558458328247\nPeru,PER,1998,25.71415901184082\nPeru,PER,1999,26.296240091323853\nPeru,PER,2000,25.54161548614502\nPeru,PER,2001,27.397075295448303\nPeru,PER,2002,24.39258098602295\nPeru,PER,2003,22.456727921962734\nPeru,PER,2004,23.548194766044617\nPeru,PER,2005,25.375208258628845\nPeru,PER,2006,21.847257018089294\nPeru,PER,2007,18.89331191778183\nPeru,PER,2008,15.808908641338348\nPeru,PER,2009,13.673301041126251\nPeru,PER,2010,11.200562864542007\nPeru,PER,2011,10.339926183223724\nPeru,PER,2012,9.527238458395004\nPeru,PER,2013,8.616562932729721\nPeru,PER,2014,7.993311434984207\nPeru,PER,2015,7.958061993122101\nPeru,PER,2016,7.469327747821808\nPeru,PER,2017,7.314062118530273\nPeru,PER,2018,6.07524998486042\nPeru,PER,2019,5.419251695275307\nPeru,PER,2020,10.30815690755844\nPeru,PER,2021,5.189844593405724\nPeru,PER,2022,4.840824007987976\nPeru,PER,2023,5.878738686442375\nPeru,PER,2024,5.1405638456344604\n```\n\nHow much did share of population in poverty ($3 a day) change for Peru between 1997 and 2024?","response":"It moved from 26.86 % in 1997 to 5.14 % in 2024, a change of -21.72 % (-80.86%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nPeru,PER,1997,26.864558458328247\nPeru,PER,1998,25.71415901184082\nPeru,PER,1999,26.296240091323853\nPeru,PER,2000,25.54161548614502\nPeru,PER,2001,27.397075295448303\nPeru,PER,2002,24.39258098602295\nPeru,PER,2003,22.456727921962734\nPeru,PER,2004,23.548194766044617\nPeru,PER,2005,25.375208258628845\nPeru,PER,2006,21.847257018089294\nPeru,PER,2007,18.89331191778183\nPeru,PER,2008,15.808908641338348\nPeru,PER,2009,13.673301041126251\nPeru,PER,2010,11.200562864542007\nPeru,PER,2011,10.339926183223724\nPeru,PER,2012,9.527238458395004\nPeru,PER,2013,8.616562932729721\nPeru,PER,2014,7.993311434984207\nPeru,PER,2015,7.958061993122101\nPeru,PER,2016,7.469327747821808\nPeru,PER,2017,7.314062118530273\nPeru,PER,2018,6.07524998486042\nPeru,PER,2019,5.419251695275307\nPeru,PER,2020,10.30815690755844\nPeru,PER,2021,5.189844593405724\nPeru,PER,2022,4.840824007987976\nPeru,PER,2023,5.878738686442375\nPeru,PER,2024,5.1405638456344604\n```\n\nWas share of population in poverty ($3 a day) in Peru higher in 2000 or 2018?","response":"Higher in 2000. The chart gives 25.54 % for 2000 and 6.08 % for 2018, a difference of 19.47 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nPeru,PER,1997,26.864558458328247\nPeru,PER,1998,25.71415901184082\nPeru,PER,1999,26.296240091323853\nPeru,PER,2000,25.54161548614502\nPeru,PER,2001,27.397075295448303\nPeru,PER,2002,24.39258098602295\nPeru,PER,2003,22.456727921962734\nPeru,PER,2004,23.548194766044617\nPeru,PER,2005,25.375208258628845\nPeru,PER,2006,21.847257018089294\nPeru,PER,2007,18.89331191778183\nPeru,PER,2008,15.808908641338348\nPeru,PER,2009,13.673301041126251\nPeru,PER,2010,11.200562864542007\nPeru,PER,2011,10.339926183223724\nPeru,PER,2012,9.527238458395004\nPeru,PER,2013,8.616562932729721\nPeru,PER,2014,7.993311434984207\nPeru,PER,2015,7.958061993122101\nPeru,PER,2016,7.469327747821808\nPeru,PER,2017,7.314062118530273\nPeru,PER,2018,6.07524998486042\nPeru,PER,2019,5.419251695275307\nPeru,PER,2020,10.30815690755844\nPeru,PER,2021,5.189844593405724\nPeru,PER,2022,4.840824007987976\nPeru,PER,2023,5.878738686442375\nPeru,PER,2024,5.1405638456344604\n```\n\nBased on this chart, is share of population in poverty ($3 a day) in Peru rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 26.86 % to 5.14 %, a change of -80.86%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nPeru,PER,1997,26.864558458328247\nPeru,PER,1998,25.71415901184082\nPeru,PER,1999,26.296240091323853\nPeru,PER,2000,25.54161548614502\nPeru,PER,2001,27.397075295448303\nPeru,PER,2002,24.39258098602295\nPeru,PER,2003,22.456727921962734\nPeru,PER,2004,23.548194766044617\nPeru,PER,2005,25.375208258628845\nPeru,PER,2006,21.847257018089294\nPeru,PER,2007,18.89331191778183\nPeru,PER,2008,15.808908641338348\nPeru,PER,2009,13.673301041126251\nPeru,PER,2010,11.200562864542007\nPeru,PER,2011,10.339926183223724\nPeru,PER,2012,9.527238458395004\nPeru,PER,2013,8.616562932729721\nPeru,PER,2014,7.993311434984207\nPeru,PER,2015,7.958061993122101\nPeru,PER,2016,7.469327747821808\nPeru,PER,2017,7.314062118530273\nPeru,PER,2018,6.07524998486042\nPeru,PER,2019,5.419251695275307\nPeru,PER,2020,10.30815690755844\nPeru,PER,2021,5.189844593405724\nPeru,PER,2022,4.840824007987976\nPeru,PER,2023,5.878738686442375\nPeru,PER,2024,5.1405638456344604\n```\n\nThis chart makes the change in share of population in poverty ($3 a day) for Peru look dramatic. Is it?","response":"The values change by -80.86%, from 26.86 % to 5.14 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nPeru,PER,1997,26.864558458328247\nPeru,PER,1998,25.71415901184082\nPeru,PER,1999,26.296240091323853\nPeru,PER,2000,25.54161548614502\nPeru,PER,2001,27.397075295448303\nPeru,PER,2002,24.39258098602295\nPeru,PER,2003,22.456727921962734\nPeru,PER,2004,23.548194766044617\nPeru,PER,2005,25.375208258628845\nPeru,PER,2006,21.847257018089294\nPeru,PER,2007,18.89331191778183\nPeru,PER,2008,15.808908641338348\nPeru,PER,2009,13.673301041126251\nPeru,PER,2010,11.200562864542007\nPeru,PER,2011,10.339926183223724\nPeru,PER,2012,9.527238458395004\nPeru,PER,2013,8.616562932729721\nPeru,PER,2014,7.993311434984207\nPeru,PER,2015,7.958061993122101\nPeru,PER,2016,7.469327747821808\nPeru,PER,2017,7.314062118530273\nPeru,PER,2018,6.07524998486042\nPeru,PER,2019,5.419251695275307\nPeru,PER,2020,10.30815690755844\nPeru,PER,2021,5.189844593405724\nPeru,PER,2022,4.840824007987976\nPeru,PER,2023,5.878738686442375\nPeru,PER,2024,5.1405638456344604\n```\n\nWhat was share of population in poverty ($3 a day) for Peru in 1982?","response":"That year is outside this chart. The series runs 1997 to 2024, and 1982 falls before it begins, so there is no value to read. The earliest point available is 1997, at 26.86 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Peru__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nThailand,THA,1990,21.051672101020813\nThailand,THA,1992,16.214731335639954\nThailand,THA,1994,9.249986708164217\nThailand,THA,1996,6.424815207719803\nThailand,THA,1998,5.716953426599503\nThailand,THA,1999,8.320630341768265\nThailand,THA,2000,8.432362228631973\nThailand,THA,2002,4.6585168689489365\nThailand,THA,2004,3.0930886045098305\nThailand,THA,2006,2.219007909297943\nThailand,THA,2007,1.2836677953600883\nThailand,THA,2008,0.9915566071867944\nThailand,THA,2009,0.7856126874685287\nThailand,THA,2010,0.7086166646331549\nThailand,THA,2011,0.3031060565263033\nThailand,THA,2012,0.3878324525430798\nThailand,THA,2013,0.2126150298863649\nThailand,THA,2014,0.2288202987983822\nThailand,THA,2015,0.131881795823574\nThailand,THA,2016,0.1378377201035618\nThailand,THA,2017,0.1001059077680111\nThailand,THA,2018,0.1064360374584794\nThailand,THA,2019,0.1346336095593869\nThailand,THA,2020,0.063043407863006\nThailand,THA,2021,0.0286008260445669\nThailand,THA,2022,0.0202693641767837\nThailand,THA,2023,0.0048422549298265\nThailand,THA,2024,0.0146845690323971\n```\n\nAccording to this chart, what was share of population in poverty ($3 a day) in Thailand in 2009?","response":"Reading the plotted point for 2009, share of population in poverty ($3 a day) in Thailand was 0.79 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nThailand,THA,1990,21.051672101020813\nThailand,THA,1992,16.214731335639954\nThailand,THA,1994,9.249986708164217\nThailand,THA,1996,6.424815207719803\nThailand,THA,1998,5.716953426599503\nThailand,THA,1999,8.320630341768265\nThailand,THA,2000,8.432362228631973\nThailand,THA,2002,4.6585168689489365\nThailand,THA,2004,3.0930886045098305\nThailand,THA,2006,2.219007909297943\nThailand,THA,2007,1.2836677953600883\nThailand,THA,2008,0.9915566071867944\nThailand,THA,2009,0.7856126874685287\nThailand,THA,2010,0.7086166646331549\nThailand,THA,2011,0.3031060565263033\nThailand,THA,2012,0.3878324525430798\nThailand,THA,2013,0.2126150298863649\nThailand,THA,2014,0.2288202987983822\nThailand,THA,2015,0.131881795823574\nThailand,THA,2016,0.1378377201035618\nThailand,THA,2017,0.1001059077680111\nThailand,THA,2018,0.1064360374584794\nThailand,THA,2019,0.1346336095593869\nThailand,THA,2020,0.063043407863006\nThailand,THA,2021,0.0286008260445669\nThailand,THA,2022,0.0202693641767837\nThailand,THA,2023,0.0048422549298265\nThailand,THA,2024,0.0146845690323971\n```\n\nIn which year shown does share of population in poverty ($3 a day) reach its highest value for Thailand?","response":"The series peaks in 1990, at 21.05 %. The lowest point shown is 2023, at 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nThailand,THA,1990,21.051672101020813\nThailand,THA,1992,16.214731335639954\nThailand,THA,1994,9.249986708164217\nThailand,THA,1996,6.424815207719803\nThailand,THA,1998,5.716953426599503\nThailand,THA,1999,8.320630341768265\nThailand,THA,2000,8.432362228631973\nThailand,THA,2002,4.6585168689489365\nThailand,THA,2004,3.0930886045098305\nThailand,THA,2006,2.219007909297943\nThailand,THA,2007,1.2836677953600883\nThailand,THA,2008,0.9915566071867944\nThailand,THA,2009,0.7856126874685287\nThailand,THA,2010,0.7086166646331549\nThailand,THA,2011,0.3031060565263033\nThailand,THA,2012,0.3878324525430798\nThailand,THA,2013,0.2126150298863649\nThailand,THA,2014,0.2288202987983822\nThailand,THA,2015,0.131881795823574\nThailand,THA,2016,0.1378377201035618\nThailand,THA,2017,0.1001059077680111\nThailand,THA,2018,0.1064360374584794\nThailand,THA,2019,0.1346336095593869\nThailand,THA,2020,0.063043407863006\nThailand,THA,2021,0.0286008260445669\nThailand,THA,2022,0.0202693641767837\nThailand,THA,2023,0.0048422549298265\nThailand,THA,2024,0.0146845690323971\n```\n\nHow much did share of population in poverty ($3 a day) change for Thailand between 1990 and 2024?","response":"It moved from 21.05 % in 1990 to 0.01 % in 2024, a change of -21.04 % (-99.93%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nThailand,THA,1990,21.051672101020813\nThailand,THA,1992,16.214731335639954\nThailand,THA,1994,9.249986708164217\nThailand,THA,1996,6.424815207719803\nThailand,THA,1998,5.716953426599503\nThailand,THA,1999,8.320630341768265\nThailand,THA,2000,8.432362228631973\nThailand,THA,2002,4.6585168689489365\nThailand,THA,2004,3.0930886045098305\nThailand,THA,2006,2.219007909297943\nThailand,THA,2007,1.2836677953600883\nThailand,THA,2008,0.9915566071867944\nThailand,THA,2009,0.7856126874685287\nThailand,THA,2010,0.7086166646331549\nThailand,THA,2011,0.3031060565263033\nThailand,THA,2012,0.3878324525430798\nThailand,THA,2013,0.2126150298863649\nThailand,THA,2014,0.2288202987983822\nThailand,THA,2015,0.131881795823574\nThailand,THA,2016,0.1378377201035618\nThailand,THA,2017,0.1001059077680111\nThailand,THA,2018,0.1064360374584794\nThailand,THA,2019,0.1346336095593869\nThailand,THA,2020,0.063043407863006\nThailand,THA,2021,0.0286008260445669\nThailand,THA,2022,0.0202693641767837\nThailand,THA,2023,0.0048422549298265\nThailand,THA,2024,0.0146845690323971\n```\n\nWas share of population in poverty ($3 a day) in Thailand higher in 1999 or 2012?","response":"Higher in 1999. The chart gives 8.32 % for 1999 and 0.39 % for 2012, a difference of 7.93 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nThailand,THA,1990,21.051672101020813\nThailand,THA,1992,16.214731335639954\nThailand,THA,1994,9.249986708164217\nThailand,THA,1996,6.424815207719803\nThailand,THA,1998,5.716953426599503\nThailand,THA,1999,8.320630341768265\nThailand,THA,2000,8.432362228631973\nThailand,THA,2002,4.6585168689489365\nThailand,THA,2004,3.0930886045098305\nThailand,THA,2006,2.219007909297943\nThailand,THA,2007,1.2836677953600883\nThailand,THA,2008,0.9915566071867944\nThailand,THA,2009,0.7856126874685287\nThailand,THA,2010,0.7086166646331549\nThailand,THA,2011,0.3031060565263033\nThailand,THA,2012,0.3878324525430798\nThailand,THA,2013,0.2126150298863649\nThailand,THA,2014,0.2288202987983822\nThailand,THA,2015,0.131881795823574\nThailand,THA,2016,0.1378377201035618\nThailand,THA,2017,0.1001059077680111\nThailand,THA,2018,0.1064360374584794\nThailand,THA,2019,0.1346336095593869\nThailand,THA,2020,0.063043407863006\nThailand,THA,2021,0.0286008260445669\nThailand,THA,2022,0.0202693641767837\nThailand,THA,2023,0.0048422549298265\nThailand,THA,2024,0.0146845690323971\n```\n\nAccording to this chart, what was share of population in poverty ($3 a day) in Thailand in 2009?","response":"Reading the plotted point for 2009, share of population in poverty ($3 a day) in Thailand was 0.79 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nThailand,THA,1990,21.051672101020813\nThailand,THA,1992,16.214731335639954\nThailand,THA,1994,9.249986708164217\nThailand,THA,1996,6.424815207719803\nThailand,THA,1998,5.716953426599503\nThailand,THA,1999,8.320630341768265\nThailand,THA,2000,8.432362228631973\nThailand,THA,2002,4.6585168689489365\nThailand,THA,2004,3.0930886045098305\nThailand,THA,2006,2.219007909297943\nThailand,THA,2007,1.2836677953600883\nThailand,THA,2008,0.9915566071867944\nThailand,THA,2009,0.7856126874685287\nThailand,THA,2010,0.7086166646331549\nThailand,THA,2011,0.3031060565263033\nThailand,THA,2012,0.3878324525430798\nThailand,THA,2013,0.2126150298863649\nThailand,THA,2014,0.2288202987983822\nThailand,THA,2015,0.131881795823574\nThailand,THA,2016,0.1378377201035618\nThailand,THA,2017,0.1001059077680111\nThailand,THA,2018,0.1064360374584794\nThailand,THA,2019,0.1346336095593869\nThailand,THA,2020,0.063043407863006\nThailand,THA,2021,0.0286008260445669\nThailand,THA,2022,0.0202693641767837\nThailand,THA,2023,0.0048422549298265\nThailand,THA,2024,0.0146845690323971\n```\n\nIn which year shown does share of population in poverty ($3 a day) reach its highest value for Thailand?","response":"The series peaks in 1990, at 21.05 %. The lowest point shown is 2023, at 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nThailand,THA,1990,21.051672101020813\nThailand,THA,1992,16.214731335639954\nThailand,THA,1994,9.249986708164217\nThailand,THA,1996,6.424815207719803\nThailand,THA,1998,5.716953426599503\nThailand,THA,1999,8.320630341768265\nThailand,THA,2000,8.432362228631973\nThailand,THA,2002,4.6585168689489365\nThailand,THA,2004,3.0930886045098305\nThailand,THA,2006,2.219007909297943\nThailand,THA,2007,1.2836677953600883\nThailand,THA,2008,0.9915566071867944\nThailand,THA,2009,0.7856126874685287\nThailand,THA,2010,0.7086166646331549\nThailand,THA,2011,0.3031060565263033\nThailand,THA,2012,0.3878324525430798\nThailand,THA,2013,0.2126150298863649\nThailand,THA,2014,0.2288202987983822\nThailand,THA,2015,0.131881795823574\nThailand,THA,2016,0.1378377201035618\nThailand,THA,2017,0.1001059077680111\nThailand,THA,2018,0.1064360374584794\nThailand,THA,2019,0.1346336095593869\nThailand,THA,2020,0.063043407863006\nThailand,THA,2021,0.0286008260445669\nThailand,THA,2022,0.0202693641767837\nThailand,THA,2023,0.0048422549298265\nThailand,THA,2024,0.0146845690323971\n```\n\nHow much did share of population in poverty ($3 a day) change for Thailand between 1990 and 2024?","response":"It moved from 21.05 % in 1990 to 0.01 % in 2024, a change of -21.04 % (-99.93%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nThailand,THA,1990,21.051672101020813\nThailand,THA,1992,16.214731335639954\nThailand,THA,1994,9.249986708164217\nThailand,THA,1996,6.424815207719803\nThailand,THA,1998,5.716953426599503\nThailand,THA,1999,8.320630341768265\nThailand,THA,2000,8.432362228631973\nThailand,THA,2002,4.6585168689489365\nThailand,THA,2004,3.0930886045098305\nThailand,THA,2006,2.219007909297943\nThailand,THA,2007,1.2836677953600883\nThailand,THA,2008,0.9915566071867944\nThailand,THA,2009,0.7856126874685287\nThailand,THA,2010,0.7086166646331549\nThailand,THA,2011,0.3031060565263033\nThailand,THA,2012,0.3878324525430798\nThailand,THA,2013,0.2126150298863649\nThailand,THA,2014,0.2288202987983822\nThailand,THA,2015,0.131881795823574\nThailand,THA,2016,0.1378377201035618\nThailand,THA,2017,0.1001059077680111\nThailand,THA,2018,0.1064360374584794\nThailand,THA,2019,0.1346336095593869\nThailand,THA,2020,0.063043407863006\nThailand,THA,2021,0.0286008260445669\nThailand,THA,2022,0.0202693641767837\nThailand,THA,2023,0.0048422549298265\nThailand,THA,2024,0.0146845690323971\n```\n\nWas share of population in poverty ($3 a day) in Thailand higher in 1999 or 2012?","response":"Higher in 1999. The chart gives 8.32 % for 1999 and 0.39 % for 2012, a difference of 7.93 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nThailand,THA,1990,21.051672101020813\nThailand,THA,1992,16.214731335639954\nThailand,THA,1994,9.249986708164217\nThailand,THA,1996,6.424815207719803\nThailand,THA,1998,5.716953426599503\nThailand,THA,1999,8.320630341768265\nThailand,THA,2000,8.432362228631973\nThailand,THA,2002,4.6585168689489365\nThailand,THA,2004,3.0930886045098305\nThailand,THA,2006,2.219007909297943\nThailand,THA,2007,1.2836677953600883\nThailand,THA,2008,0.9915566071867944\nThailand,THA,2009,0.7856126874685287\nThailand,THA,2010,0.7086166646331549\nThailand,THA,2011,0.3031060565263033\nThailand,THA,2012,0.3878324525430798\nThailand,THA,2013,0.2126150298863649\nThailand,THA,2014,0.2288202987983822\nThailand,THA,2015,0.131881795823574\nThailand,THA,2016,0.1378377201035618\nThailand,THA,2017,0.1001059077680111\nThailand,THA,2018,0.1064360374584794\nThailand,THA,2019,0.1346336095593869\nThailand,THA,2020,0.063043407863006\nThailand,THA,2021,0.0286008260445669\nThailand,THA,2022,0.0202693641767837\nThailand,THA,2023,0.0048422549298265\nThailand,THA,2024,0.0146845690323971\n```\n\nThis chart makes the change in share of population in poverty ($3 a day) for Thailand look dramatic. Is it?","response":"The values change by -99.93%, from 21.05 % to 0.01 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nThailand,THA,1990,21.051672101020813\nThailand,THA,1992,16.214731335639954\nThailand,THA,1994,9.249986708164217\nThailand,THA,1996,6.424815207719803\nThailand,THA,1998,5.716953426599503\nThailand,THA,1999,8.320630341768265\nThailand,THA,2000,8.432362228631973\nThailand,THA,2002,4.6585168689489365\nThailand,THA,2004,3.0930886045098305\nThailand,THA,2006,2.219007909297943\nThailand,THA,2007,1.2836677953600883\nThailand,THA,2008,0.9915566071867944\nThailand,THA,2009,0.7856126874685287\nThailand,THA,2010,0.7086166646331549\nThailand,THA,2011,0.3031060565263033\nThailand,THA,2012,0.3878324525430798\nThailand,THA,2013,0.2126150298863649\nThailand,THA,2014,0.2288202987983822\nThailand,THA,2015,0.131881795823574\nThailand,THA,2016,0.1378377201035618\nThailand,THA,2017,0.1001059077680111\nThailand,THA,2018,0.1064360374584794\nThailand,THA,2019,0.1346336095593869\nThailand,THA,2020,0.063043407863006\nThailand,THA,2021,0.0286008260445669\nThailand,THA,2022,0.0202693641767837\nThailand,THA,2023,0.0048422549298265\nThailand,THA,2024,0.0146845690323971\n```\n\nWhat was share of population in poverty ($3 a day) for Thailand in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 21.05 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Thailand__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nSpain,ESP,1990,0.6000000052154064\nSpain,ESP,1993,1.4000000432133677\nSpain,ESP,1994,1.30000002682209\nSpain,ESP,1995,1.600000075995922\nSpain,ESP,1996,1.600000075995922\nSpain,ESP,1997,0.9999999776482582\nSpain,ESP,1998,1.0999999940395355\nSpain,ESP,1999,0.7000000216066837\nSpain,ESP,2000,0.8999999612569809\nSpain,ESP,2003,0.9082441218197346\nSpain,ESP,2004,1.0159495286643505\nSpain,ESP,2005,0.8567684330046177\nSpain,ESP,2006,0.8842268027365208\nSpain,ESP,2007,0.5590894259512424\nSpain,ESP,2008,0.5587315652519464\nSpain,ESP,2009,0.8649964816868305\nSpain,ESP,2010,0.7495137397199869\nSpain,ESP,2011,1.2902318499982357\nSpain,ESP,2012,1.019078865647316\nSpain,ESP,2013,1.309105008840561\nSpain,ESP,2014,0.9475359693169594\nSpain,ESP,2015,1.054392009973526\nSpain,ESP,2016,1.2991789728403091\nSpain,ESP,2017,0.8333411067724228\nSpain,ESP,2018,0.9773517958819866\nSpain,ESP,2019,0.8941992186009884\nSpain,ESP,2020,1.0968449525535109\nSpain,ESP,2021,0.6577910389751196\nSpain,ESP,2022,0.7852282375097275\nSpain,ESP,2023,0.8134083822369576\n```\n\nAccording to this chart, what was share of population in poverty ($3 a day) in Spain in 2020?","response":"Reading the plotted point for 2020, share of population in poverty ($3 a day) in Spain was 1.1 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nSpain,ESP,1990,0.6000000052154064\nSpain,ESP,1993,1.4000000432133677\nSpain,ESP,1994,1.30000002682209\nSpain,ESP,1995,1.600000075995922\nSpain,ESP,1996,1.600000075995922\nSpain,ESP,1997,0.9999999776482582\nSpain,ESP,1998,1.0999999940395355\nSpain,ESP,1999,0.7000000216066837\nSpain,ESP,2000,0.8999999612569809\nSpain,ESP,2003,0.9082441218197346\nSpain,ESP,2004,1.0159495286643505\nSpain,ESP,2005,0.8567684330046177\nSpain,ESP,2006,0.8842268027365208\nSpain,ESP,2007,0.5590894259512424\nSpain,ESP,2008,0.5587315652519464\nSpain,ESP,2009,0.8649964816868305\nSpain,ESP,2010,0.7495137397199869\nSpain,ESP,2011,1.2902318499982357\nSpain,ESP,2012,1.019078865647316\nSpain,ESP,2013,1.309105008840561\nSpain,ESP,2014,0.9475359693169594\nSpain,ESP,2015,1.054392009973526\nSpain,ESP,2016,1.2991789728403091\nSpain,ESP,2017,0.8333411067724228\nSpain,ESP,2018,0.9773517958819866\nSpain,ESP,2019,0.8941992186009884\nSpain,ESP,2020,1.0968449525535109\nSpain,ESP,2021,0.6577910389751196\nSpain,ESP,2022,0.7852282375097275\nSpain,ESP,2023,0.8134083822369576\n```\n\nIn which year shown does share of population in poverty ($3 a day) reach its highest value for Spain?","response":"The series peaks in 1995, at 1.6 %. The lowest point shown is 2008, at 0.56 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nSpain,ESP,1990,0.6000000052154064\nSpain,ESP,1993,1.4000000432133677\nSpain,ESP,1994,1.30000002682209\nSpain,ESP,1995,1.600000075995922\nSpain,ESP,1996,1.600000075995922\nSpain,ESP,1997,0.9999999776482582\nSpain,ESP,1998,1.0999999940395355\nSpain,ESP,1999,0.7000000216066837\nSpain,ESP,2000,0.8999999612569809\nSpain,ESP,2003,0.9082441218197346\nSpain,ESP,2004,1.0159495286643505\nSpain,ESP,2005,0.8567684330046177\nSpain,ESP,2006,0.8842268027365208\nSpain,ESP,2007,0.5590894259512424\nSpain,ESP,2008,0.5587315652519464\nSpain,ESP,2009,0.8649964816868305\nSpain,ESP,2010,0.7495137397199869\nSpain,ESP,2011,1.2902318499982357\nSpain,ESP,2012,1.019078865647316\nSpain,ESP,2013,1.309105008840561\nSpain,ESP,2014,0.9475359693169594\nSpain,ESP,2015,1.054392009973526\nSpain,ESP,2016,1.2991789728403091\nSpain,ESP,2017,0.8333411067724228\nSpain,ESP,2018,0.9773517958819866\nSpain,ESP,2019,0.8941992186009884\nSpain,ESP,2020,1.0968449525535109\nSpain,ESP,2021,0.6577910389751196\nSpain,ESP,2022,0.7852282375097275\nSpain,ESP,2023,0.8134083822369576\n```\n\nHow much did share of population in poverty ($3 a day) change for Spain between 1990 and 2023?","response":"It moved from 0.6 % in 1990 to 0.81 % in 2023, a change of 0.21 % (+35.57%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nSpain,ESP,1990,0.6000000052154064\nSpain,ESP,1993,1.4000000432133677\nSpain,ESP,1994,1.30000002682209\nSpain,ESP,1995,1.600000075995922\nSpain,ESP,1996,1.600000075995922\nSpain,ESP,1997,0.9999999776482582\nSpain,ESP,1998,1.0999999940395355\nSpain,ESP,1999,0.7000000216066837\nSpain,ESP,2000,0.8999999612569809\nSpain,ESP,2003,0.9082441218197346\nSpain,ESP,2004,1.0159495286643505\nSpain,ESP,2005,0.8567684330046177\nSpain,ESP,2006,0.8842268027365208\nSpain,ESP,2007,0.5590894259512424\nSpain,ESP,2008,0.5587315652519464\nSpain,ESP,2009,0.8649964816868305\nSpain,ESP,2010,0.7495137397199869\nSpain,ESP,2011,1.2902318499982357\nSpain,ESP,2012,1.019078865647316\nSpain,ESP,2013,1.309105008840561\nSpain,ESP,2014,0.9475359693169594\nSpain,ESP,2015,1.054392009973526\nSpain,ESP,2016,1.2991789728403091\nSpain,ESP,2017,0.8333411067724228\nSpain,ESP,2018,0.9773517958819866\nSpain,ESP,2019,0.8941992186009884\nSpain,ESP,2020,1.0968449525535109\nSpain,ESP,2021,0.6577910389751196\nSpain,ESP,2022,0.7852282375097275\nSpain,ESP,2023,0.8134083822369576\n```\n\nWas share of population in poverty ($3 a day) in Spain higher in 1990 or 2017?","response":"Higher in 2017. The chart gives 0.6 % for 1990 and 0.83 % for 2017, a difference of 0.23 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nSpain,ESP,1990,0.6000000052154064\nSpain,ESP,1993,1.4000000432133677\nSpain,ESP,1994,1.30000002682209\nSpain,ESP,1995,1.600000075995922\nSpain,ESP,1996,1.600000075995922\nSpain,ESP,1997,0.9999999776482582\nSpain,ESP,1998,1.0999999940395355\nSpain,ESP,1999,0.7000000216066837\nSpain,ESP,2000,0.8999999612569809\nSpain,ESP,2003,0.9082441218197346\nSpain,ESP,2004,1.0159495286643505\nSpain,ESP,2005,0.8567684330046177\nSpain,ESP,2006,0.8842268027365208\nSpain,ESP,2007,0.5590894259512424\nSpain,ESP,2008,0.5587315652519464\nSpain,ESP,2009,0.8649964816868305\nSpain,ESP,2010,0.7495137397199869\nSpain,ESP,2011,1.2902318499982357\nSpain,ESP,2012,1.019078865647316\nSpain,ESP,2013,1.309105008840561\nSpain,ESP,2014,0.9475359693169594\nSpain,ESP,2015,1.054392009973526\nSpain,ESP,2016,1.2991789728403091\nSpain,ESP,2017,0.8333411067724228\nSpain,ESP,2018,0.9773517958819866\nSpain,ESP,2019,0.8941992186009884\nSpain,ESP,2020,1.0968449525535109\nSpain,ESP,2021,0.6577910389751196\nSpain,ESP,2022,0.7852282375097275\nSpain,ESP,2023,0.8134083822369576\n```\n\nAccording to this chart, what was share of population in poverty ($3 a day) in Spain in 2020?","response":"Reading the plotted point for 2020, share of population in poverty ($3 a day) in Spain was 1.1 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nSpain,ESP,1990,0.6000000052154064\nSpain,ESP,1993,1.4000000432133677\nSpain,ESP,1994,1.30000002682209\nSpain,ESP,1995,1.600000075995922\nSpain,ESP,1996,1.600000075995922\nSpain,ESP,1997,0.9999999776482582\nSpain,ESP,1998,1.0999999940395355\nSpain,ESP,1999,0.7000000216066837\nSpain,ESP,2000,0.8999999612569809\nSpain,ESP,2003,0.9082441218197346\nSpain,ESP,2004,1.0159495286643505\nSpain,ESP,2005,0.8567684330046177\nSpain,ESP,2006,0.8842268027365208\nSpain,ESP,2007,0.5590894259512424\nSpain,ESP,2008,0.5587315652519464\nSpain,ESP,2009,0.8649964816868305\nSpain,ESP,2010,0.7495137397199869\nSpain,ESP,2011,1.2902318499982357\nSpain,ESP,2012,1.019078865647316\nSpain,ESP,2013,1.309105008840561\nSpain,ESP,2014,0.9475359693169594\nSpain,ESP,2015,1.054392009973526\nSpain,ESP,2016,1.2991789728403091\nSpain,ESP,2017,0.8333411067724228\nSpain,ESP,2018,0.9773517958819866\nSpain,ESP,2019,0.8941992186009884\nSpain,ESP,2020,1.0968449525535109\nSpain,ESP,2021,0.6577910389751196\nSpain,ESP,2022,0.7852282375097275\nSpain,ESP,2023,0.8134083822369576\n```\n\nIn which year shown does share of population in poverty ($3 a day) reach its highest value for Spain?","response":"The series peaks in 1995, at 1.6 %. The lowest point shown is 2008, at 0.56 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nSpain,ESP,1990,0.6000000052154064\nSpain,ESP,1993,1.4000000432133677\nSpain,ESP,1994,1.30000002682209\nSpain,ESP,1995,1.600000075995922\nSpain,ESP,1996,1.600000075995922\nSpain,ESP,1997,0.9999999776482582\nSpain,ESP,1998,1.0999999940395355\nSpain,ESP,1999,0.7000000216066837\nSpain,ESP,2000,0.8999999612569809\nSpain,ESP,2003,0.9082441218197346\nSpain,ESP,2004,1.0159495286643505\nSpain,ESP,2005,0.8567684330046177\nSpain,ESP,2006,0.8842268027365208\nSpain,ESP,2007,0.5590894259512424\nSpain,ESP,2008,0.5587315652519464\nSpain,ESP,2009,0.8649964816868305\nSpain,ESP,2010,0.7495137397199869\nSpain,ESP,2011,1.2902318499982357\nSpain,ESP,2012,1.019078865647316\nSpain,ESP,2013,1.309105008840561\nSpain,ESP,2014,0.9475359693169594\nSpain,ESP,2015,1.054392009973526\nSpain,ESP,2016,1.2991789728403091\nSpain,ESP,2017,0.8333411067724228\nSpain,ESP,2018,0.9773517958819866\nSpain,ESP,2019,0.8941992186009884\nSpain,ESP,2020,1.0968449525535109\nSpain,ESP,2021,0.6577910389751196\nSpain,ESP,2022,0.7852282375097275\nSpain,ESP,2023,0.8134083822369576\n```\n\nHow much did share of population in poverty ($3 a day) change for Spain between 1990 and 2023?","response":"It moved from 0.6 % in 1990 to 0.81 % in 2023, a change of 0.21 % (+35.57%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nSpain,ESP,1990,0.6000000052154064\nSpain,ESP,1993,1.4000000432133677\nSpain,ESP,1994,1.30000002682209\nSpain,ESP,1995,1.600000075995922\nSpain,ESP,1996,1.600000075995922\nSpain,ESP,1997,0.9999999776482582\nSpain,ESP,1998,1.0999999940395355\nSpain,ESP,1999,0.7000000216066837\nSpain,ESP,2000,0.8999999612569809\nSpain,ESP,2003,0.9082441218197346\nSpain,ESP,2004,1.0159495286643505\nSpain,ESP,2005,0.8567684330046177\nSpain,ESP,2006,0.8842268027365208\nSpain,ESP,2007,0.5590894259512424\nSpain,ESP,2008,0.5587315652519464\nSpain,ESP,2009,0.8649964816868305\nSpain,ESP,2010,0.7495137397199869\nSpain,ESP,2011,1.2902318499982357\nSpain,ESP,2012,1.019078865647316\nSpain,ESP,2013,1.309105008840561\nSpain,ESP,2014,0.9475359693169594\nSpain,ESP,2015,1.054392009973526\nSpain,ESP,2016,1.2991789728403091\nSpain,ESP,2017,0.8333411067724228\nSpain,ESP,2018,0.9773517958819866\nSpain,ESP,2019,0.8941992186009884\nSpain,ESP,2020,1.0968449525535109\nSpain,ESP,2021,0.6577910389751196\nSpain,ESP,2022,0.7852282375097275\nSpain,ESP,2023,0.8134083822369576\n```\n\nWas share of population in poverty ($3 a day) in Spain higher in 1990 or 2017?","response":"Higher in 2017. The chart gives 0.6 % for 1990 and 0.83 % for 2017, a difference of 0.23 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nSpain,ESP,1990,0.6000000052154064\nSpain,ESP,1993,1.4000000432133677\nSpain,ESP,1994,1.30000002682209\nSpain,ESP,1995,1.600000075995922\nSpain,ESP,1996,1.600000075995922\nSpain,ESP,1997,0.9999999776482582\nSpain,ESP,1998,1.0999999940395355\nSpain,ESP,1999,0.7000000216066837\nSpain,ESP,2000,0.8999999612569809\nSpain,ESP,2003,0.9082441218197346\nSpain,ESP,2004,1.0159495286643505\nSpain,ESP,2005,0.8567684330046177\nSpain,ESP,2006,0.8842268027365208\nSpain,ESP,2007,0.5590894259512424\nSpain,ESP,2008,0.5587315652519464\nSpain,ESP,2009,0.8649964816868305\nSpain,ESP,2010,0.7495137397199869\nSpain,ESP,2011,1.2902318499982357\nSpain,ESP,2012,1.019078865647316\nSpain,ESP,2013,1.309105008840561\nSpain,ESP,2014,0.9475359693169594\nSpain,ESP,2015,1.054392009973526\nSpain,ESP,2016,1.2991789728403091\nSpain,ESP,2017,0.8333411067724228\nSpain,ESP,2018,0.9773517958819866\nSpain,ESP,2019,0.8941992186009884\nSpain,ESP,2020,1.0968449525535109\nSpain,ESP,2021,0.6577910389751196\nSpain,ESP,2022,0.7852282375097275\nSpain,ESP,2023,0.8134083822369576\n```\n\nBased on this chart, is share of population in poverty ($3 a day) in Spain rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.6 % to 0.81 %, a change of +35.57%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nSpain,ESP,1990,0.6000000052154064\nSpain,ESP,1993,1.4000000432133677\nSpain,ESP,1994,1.30000002682209\nSpain,ESP,1995,1.600000075995922\nSpain,ESP,1996,1.600000075995922\nSpain,ESP,1997,0.9999999776482582\nSpain,ESP,1998,1.0999999940395355\nSpain,ESP,1999,0.7000000216066837\nSpain,ESP,2000,0.8999999612569809\nSpain,ESP,2003,0.9082441218197346\nSpain,ESP,2004,1.0159495286643505\nSpain,ESP,2005,0.8567684330046177\nSpain,ESP,2006,0.8842268027365208\nSpain,ESP,2007,0.5590894259512424\nSpain,ESP,2008,0.5587315652519464\nSpain,ESP,2009,0.8649964816868305\nSpain,ESP,2010,0.7495137397199869\nSpain,ESP,2011,1.2902318499982357\nSpain,ESP,2012,1.019078865647316\nSpain,ESP,2013,1.309105008840561\nSpain,ESP,2014,0.9475359693169594\nSpain,ESP,2015,1.054392009973526\nSpain,ESP,2016,1.2991789728403091\nSpain,ESP,2017,0.8333411067724228\nSpain,ESP,2018,0.9773517958819866\nSpain,ESP,2019,0.8941992186009884\nSpain,ESP,2020,1.0968449525535109\nSpain,ESP,2021,0.6577910389751196\nSpain,ESP,2022,0.7852282375097275\nSpain,ESP,2023,0.8134083822369576\n```\n\nThis chart makes the change in share of population in poverty ($3 a day) for Spain look dramatic. Is it?","response":"The values change by +35.57%, from 0.6 % to 0.81 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nSpain,ESP,2006,0.8842268027365208\nSpain,ESP,2007,0.5590894259512424\nSpain,ESP,2008,0.5587315652519464\nSpain,ESP,2009,0.8649964816868305\nSpain,ESP,2010,0.7495137397199869\nSpain,ESP,2011,1.2902318499982357\nSpain,ESP,2012,1.019078865647316\nSpain,ESP,2013,1.309105008840561\nSpain,ESP,2014,0.9475359693169594\nSpain,ESP,2015,1.054392009973526\nSpain,ESP,2016,1.2991789728403091\nSpain,ESP,2017,0.8333411067724228\n```\n\nWhat does this chart suggest about the long-run direction of share of population in poverty ($3 a day) in Spain?","response":"Within the window shown (2006-2017) the series moves -5.75%, but that window runs against the longer record. Across the full series (1990-2023) the change is +35.57%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nSpain,ESP,1990,0.6000000052154064\nSpain,ESP,1993,1.4000000432133677\nSpain,ESP,1994,1.30000002682209\nSpain,ESP,1995,1.600000075995922\nSpain,ESP,1996,1.600000075995922\nSpain,ESP,1997,0.9999999776482582\nSpain,ESP,1998,1.0999999940395355\nSpain,ESP,1999,0.7000000216066837\nSpain,ESP,2000,0.8999999612569809\nSpain,ESP,2003,0.9082441218197346\nSpain,ESP,2004,1.0159495286643505\nSpain,ESP,2005,0.8567684330046177\nSpain,ESP,2006,0.8842268027365208\nSpain,ESP,2007,0.5590894259512424\nSpain,ESP,2008,0.5587315652519464\nSpain,ESP,2009,0.8649964816868305\nSpain,ESP,2010,0.7495137397199869\nSpain,ESP,2011,1.2902318499982357\nSpain,ESP,2012,1.019078865647316\nSpain,ESP,2013,1.309105008840561\nSpain,ESP,2014,0.9475359693169594\nSpain,ESP,2015,1.054392009973526\nSpain,ESP,2016,1.2991789728403091\nSpain,ESP,2017,0.8333411067724228\nSpain,ESP,2018,0.9773517958819866\nSpain,ESP,2019,0.8941992186009884\nSpain,ESP,2020,1.0968449525535109\nSpain,ESP,2021,0.6577910389751196\nSpain,ESP,2022,0.7852282375097275\nSpain,ESP,2023,0.8134083822369576\n```\n\nWhat was share of population in poverty ($3 a day) for Spain in 1975?","response":"That year is outside this chart. The series runs 1990 to 2023, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 0.6 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Spain__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nDenmark,DNK,1992,0.6000000052154064\nDenmark,DNK,1995,0.1000000047497451\nDenmark,DNK,2000,0.1000000047497451\nDenmark,DNK,2003,0.3688679542392492\nDenmark,DNK,2004,0.3149806521832943\nDenmark,DNK,2005,0.2781513147056103\nDenmark,DNK,2006,0.1950069912709295\nDenmark,DNK,2007,0.0851585937198251\nDenmark,DNK,2008,0.2967254491522908\nDenmark,DNK,2009,0.5658648908138275\nDenmark,DNK,2010,0.0572940101847052\nDenmark,DNK,2011,0.0\nDenmark,DNK,2012,0.0\nDenmark,DNK,2013,0.310915638692677\nDenmark,DNK,2014,0.2433200599625706\nDenmark,DNK,2015,0.175425864290446\nDenmark,DNK,2016,0.2783869626000523\nDenmark,DNK,2017,0.1425427501089871\nDenmark,DNK,2018,0.2265287097543478\nDenmark,DNK,2019,0.2692090580239892\nDenmark,DNK,2020,0.1649913028813898\nDenmark,DNK,2021,0.153679633513093\nDenmark,DNK,2022,0.2444789046421647\nDenmark,DNK,2023,0.3592246910557151\n```\n\nAccording to this chart, what was share of population in poverty ($3 a day) in Denmark in 2003?","response":"Reading the plotted point for 2003, share of population in poverty ($3 a day) in Denmark was 0.37 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nDenmark,DNK,1992,0.6000000052154064\nDenmark,DNK,1995,0.1000000047497451\nDenmark,DNK,2000,0.1000000047497451\nDenmark,DNK,2003,0.3688679542392492\nDenmark,DNK,2004,0.3149806521832943\nDenmark,DNK,2005,0.2781513147056103\nDenmark,DNK,2006,0.1950069912709295\nDenmark,DNK,2007,0.0851585937198251\nDenmark,DNK,2008,0.2967254491522908\nDenmark,DNK,2009,0.5658648908138275\nDenmark,DNK,2010,0.0572940101847052\nDenmark,DNK,2011,0.0\nDenmark,DNK,2012,0.0\nDenmark,DNK,2013,0.310915638692677\nDenmark,DNK,2014,0.2433200599625706\nDenmark,DNK,2015,0.175425864290446\nDenmark,DNK,2016,0.2783869626000523\nDenmark,DNK,2017,0.1425427501089871\nDenmark,DNK,2018,0.2265287097543478\nDenmark,DNK,2019,0.2692090580239892\nDenmark,DNK,2020,0.1649913028813898\nDenmark,DNK,2021,0.153679633513093\nDenmark,DNK,2022,0.2444789046421647\nDenmark,DNK,2023,0.3592246910557151\n```\n\nIn which year shown does share of population in poverty ($3 a day) reach its highest value for Denmark?","response":"The series peaks in 1992, at 0.6 %. The lowest point shown is 2011, at 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nDenmark,DNK,1992,0.6000000052154064\nDenmark,DNK,1995,0.1000000047497451\nDenmark,DNK,2000,0.1000000047497451\nDenmark,DNK,2003,0.3688679542392492\nDenmark,DNK,2004,0.3149806521832943\nDenmark,DNK,2005,0.2781513147056103\nDenmark,DNK,2006,0.1950069912709295\nDenmark,DNK,2007,0.0851585937198251\nDenmark,DNK,2008,0.2967254491522908\nDenmark,DNK,2009,0.5658648908138275\nDenmark,DNK,2010,0.0572940101847052\nDenmark,DNK,2011,0.0\nDenmark,DNK,2012,0.0\nDenmark,DNK,2013,0.310915638692677\nDenmark,DNK,2014,0.2433200599625706\nDenmark,DNK,2015,0.175425864290446\nDenmark,DNK,2016,0.2783869626000523\nDenmark,DNK,2017,0.1425427501089871\nDenmark,DNK,2018,0.2265287097543478\nDenmark,DNK,2019,0.2692090580239892\nDenmark,DNK,2020,0.1649913028813898\nDenmark,DNK,2021,0.153679633513093\nDenmark,DNK,2022,0.2444789046421647\nDenmark,DNK,2023,0.3592246910557151\n```\n\nHow much did share of population in poverty ($3 a day) change for Denmark between 1992 and 2023?","response":"It moved from 0.6 % in 1992 to 0.36 % in 2023, a change of -0.24 % (-40.13%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nDenmark,DNK,1992,0.6000000052154064\nDenmark,DNK,1995,0.1000000047497451\nDenmark,DNK,2000,0.1000000047497451\nDenmark,DNK,2003,0.3688679542392492\nDenmark,DNK,2004,0.3149806521832943\nDenmark,DNK,2005,0.2781513147056103\nDenmark,DNK,2006,0.1950069912709295\nDenmark,DNK,2007,0.0851585937198251\nDenmark,DNK,2008,0.2967254491522908\nDenmark,DNK,2009,0.5658648908138275\nDenmark,DNK,2010,0.0572940101847052\nDenmark,DNK,2011,0.0\nDenmark,DNK,2012,0.0\nDenmark,DNK,2013,0.310915638692677\nDenmark,DNK,2014,0.2433200599625706\nDenmark,DNK,2015,0.175425864290446\nDenmark,DNK,2016,0.2783869626000523\nDenmark,DNK,2017,0.1425427501089871\nDenmark,DNK,2018,0.2265287097543478\nDenmark,DNK,2019,0.2692090580239892\nDenmark,DNK,2020,0.1649913028813898\nDenmark,DNK,2021,0.153679633513093\nDenmark,DNK,2022,0.2444789046421647\nDenmark,DNK,2023,0.3592246910557151\n```\n\nWas share of population in poverty ($3 a day) in Denmark higher in 2009 or 2018?","response":"Higher in 2009. The chart gives 0.57 % for 2009 and 0.23 % for 2018, a difference of 0.34 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nDenmark,DNK,1992,0.6000000052154064\nDenmark,DNK,1995,0.1000000047497451\nDenmark,DNK,2000,0.1000000047497451\nDenmark,DNK,2003,0.3688679542392492\nDenmark,DNK,2004,0.3149806521832943\nDenmark,DNK,2005,0.2781513147056103\nDenmark,DNK,2006,0.1950069912709295\nDenmark,DNK,2007,0.0851585937198251\nDenmark,DNK,2008,0.2967254491522908\nDenmark,DNK,2009,0.5658648908138275\nDenmark,DNK,2010,0.0572940101847052\nDenmark,DNK,2011,0.0\nDenmark,DNK,2012,0.0\nDenmark,DNK,2013,0.310915638692677\nDenmark,DNK,2014,0.2433200599625706\nDenmark,DNK,2015,0.175425864290446\nDenmark,DNK,2016,0.2783869626000523\nDenmark,DNK,2017,0.1425427501089871\nDenmark,DNK,2018,0.2265287097543478\nDenmark,DNK,2019,0.2692090580239892\nDenmark,DNK,2020,0.1649913028813898\nDenmark,DNK,2021,0.153679633513093\nDenmark,DNK,2022,0.2444789046421647\nDenmark,DNK,2023,0.3592246910557151\n```\n\nAccording to this chart, what was share of population in poverty ($3 a day) in Denmark in 2003?","response":"Reading the plotted point for 2003, share of population in poverty ($3 a day) in Denmark was 0.37 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nDenmark,DNK,1992,0.6000000052154064\nDenmark,DNK,1995,0.1000000047497451\nDenmark,DNK,2000,0.1000000047497451\nDenmark,DNK,2003,0.3688679542392492\nDenmark,DNK,2004,0.3149806521832943\nDenmark,DNK,2005,0.2781513147056103\nDenmark,DNK,2006,0.1950069912709295\nDenmark,DNK,2007,0.0851585937198251\nDenmark,DNK,2008,0.2967254491522908\nDenmark,DNK,2009,0.5658648908138275\nDenmark,DNK,2010,0.0572940101847052\nDenmark,DNK,2011,0.0\nDenmark,DNK,2012,0.0\nDenmark,DNK,2013,0.310915638692677\nDenmark,DNK,2014,0.2433200599625706\nDenmark,DNK,2015,0.175425864290446\nDenmark,DNK,2016,0.2783869626000523\nDenmark,DNK,2017,0.1425427501089871\nDenmark,DNK,2018,0.2265287097543478\nDenmark,DNK,2019,0.2692090580239892\nDenmark,DNK,2020,0.1649913028813898\nDenmark,DNK,2021,0.153679633513093\nDenmark,DNK,2022,0.2444789046421647\nDenmark,DNK,2023,0.3592246910557151\n```\n\nIn which year shown does share of population in poverty ($3 a day) reach its highest value for Denmark?","response":"The series peaks in 1992, at 0.6 %. The lowest point shown is 2011, at 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nDenmark,DNK,1992,0.6000000052154064\nDenmark,DNK,1995,0.1000000047497451\nDenmark,DNK,2000,0.1000000047497451\nDenmark,DNK,2003,0.3688679542392492\nDenmark,DNK,2004,0.3149806521832943\nDenmark,DNK,2005,0.2781513147056103\nDenmark,DNK,2006,0.1950069912709295\nDenmark,DNK,2007,0.0851585937198251\nDenmark,DNK,2008,0.2967254491522908\nDenmark,DNK,2009,0.5658648908138275\nDenmark,DNK,2010,0.0572940101847052\nDenmark,DNK,2011,0.0\nDenmark,DNK,2012,0.0\nDenmark,DNK,2013,0.310915638692677\nDenmark,DNK,2014,0.2433200599625706\nDenmark,DNK,2015,0.175425864290446\nDenmark,DNK,2016,0.2783869626000523\nDenmark,DNK,2017,0.1425427501089871\nDenmark,DNK,2018,0.2265287097543478\nDenmark,DNK,2019,0.2692090580239892\nDenmark,DNK,2020,0.1649913028813898\nDenmark,DNK,2021,0.153679633513093\nDenmark,DNK,2022,0.2444789046421647\nDenmark,DNK,2023,0.3592246910557151\n```\n\nHow much did share of population in poverty ($3 a day) change for Denmark between 1992 and 2023?","response":"It moved from 0.6 % in 1992 to 0.36 % in 2023, a change of -0.24 % (-40.13%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nDenmark,DNK,1992,0.6000000052154064\nDenmark,DNK,1995,0.1000000047497451\nDenmark,DNK,2000,0.1000000047497451\nDenmark,DNK,2003,0.3688679542392492\nDenmark,DNK,2004,0.3149806521832943\nDenmark,DNK,2005,0.2781513147056103\nDenmark,DNK,2006,0.1950069912709295\nDenmark,DNK,2007,0.0851585937198251\nDenmark,DNK,2008,0.2967254491522908\nDenmark,DNK,2009,0.5658648908138275\nDenmark,DNK,2010,0.0572940101847052\nDenmark,DNK,2011,0.0\nDenmark,DNK,2012,0.0\nDenmark,DNK,2013,0.310915638692677\nDenmark,DNK,2014,0.2433200599625706\nDenmark,DNK,2015,0.175425864290446\nDenmark,DNK,2016,0.2783869626000523\nDenmark,DNK,2017,0.1425427501089871\nDenmark,DNK,2018,0.2265287097543478\nDenmark,DNK,2019,0.2692090580239892\nDenmark,DNK,2020,0.1649913028813898\nDenmark,DNK,2021,0.153679633513093\nDenmark,DNK,2022,0.2444789046421647\nDenmark,DNK,2023,0.3592246910557151\n```\n\nWas share of population in poverty ($3 a day) in Denmark higher in 2009 or 2018?","response":"Higher in 2009. The chart gives 0.57 % for 2009 and 0.23 % for 2018, a difference of 0.34 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nDenmark,DNK,1992,0.6000000052154064\nDenmark,DNK,1995,0.1000000047497451\nDenmark,DNK,2000,0.1000000047497451\nDenmark,DNK,2003,0.3688679542392492\nDenmark,DNK,2004,0.3149806521832943\nDenmark,DNK,2005,0.2781513147056103\nDenmark,DNK,2006,0.1950069912709295\nDenmark,DNK,2007,0.0851585937198251\nDenmark,DNK,2008,0.2967254491522908\nDenmark,DNK,2009,0.5658648908138275\nDenmark,DNK,2010,0.0572940101847052\nDenmark,DNK,2011,0.0\nDenmark,DNK,2012,0.0\nDenmark,DNK,2013,0.310915638692677\nDenmark,DNK,2014,0.2433200599625706\nDenmark,DNK,2015,0.175425864290446\nDenmark,DNK,2016,0.2783869626000523\nDenmark,DNK,2017,0.1425427501089871\nDenmark,DNK,2018,0.2265287097543478\nDenmark,DNK,2019,0.2692090580239892\nDenmark,DNK,2020,0.1649913028813898\nDenmark,DNK,2021,0.153679633513093\nDenmark,DNK,2022,0.2444789046421647\nDenmark,DNK,2023,0.3592246910557151\n```\n\nBased on this chart, is share of population in poverty ($3 a day) in Denmark rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.6 % to 0.36 %, a change of -40.13%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nDenmark,DNK,1992,0.6000000052154064\nDenmark,DNK,1995,0.1000000047497451\nDenmark,DNK,2000,0.1000000047497451\nDenmark,DNK,2003,0.3688679542392492\nDenmark,DNK,2004,0.3149806521832943\nDenmark,DNK,2005,0.2781513147056103\nDenmark,DNK,2006,0.1950069912709295\nDenmark,DNK,2007,0.0851585937198251\nDenmark,DNK,2008,0.2967254491522908\nDenmark,DNK,2009,0.5658648908138275\nDenmark,DNK,2010,0.0572940101847052\nDenmark,DNK,2011,0.0\nDenmark,DNK,2012,0.0\nDenmark,DNK,2013,0.310915638692677\nDenmark,DNK,2014,0.2433200599625706\nDenmark,DNK,2015,0.175425864290446\nDenmark,DNK,2016,0.2783869626000523\nDenmark,DNK,2017,0.1425427501089871\nDenmark,DNK,2018,0.2265287097543478\nDenmark,DNK,2019,0.2692090580239892\nDenmark,DNK,2020,0.1649913028813898\nDenmark,DNK,2021,0.153679633513093\nDenmark,DNK,2022,0.2444789046421647\nDenmark,DNK,2023,0.3592246910557151\n```\n\nThis chart makes the change in share of population in poverty ($3 a day) for Denmark look dramatic. Is it?","response":"The values change by -40.13%, from 0.6 % to 0.36 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nDenmark,DNK,2010,0.0572940101847052\nDenmark,DNK,2011,0.0\nDenmark,DNK,2012,0.0\nDenmark,DNK,2013,0.310915638692677\nDenmark,DNK,2014,0.2433200599625706\nDenmark,DNK,2015,0.175425864290446\nDenmark,DNK,2016,0.2783869626000523\nDenmark,DNK,2017,0.1425427501089871\nDenmark,DNK,2018,0.2265287097543478\n```\n\nWhat does this chart suggest about the long-run direction of share of population in poverty ($3 a day) in Denmark?","response":"Within the window shown (2010-2018) the series moves +295.38%, but that window runs against the longer record. Across the full series (1992-2023) the change is -40.13%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nDenmark,DNK,1992,0.6000000052154064\nDenmark,DNK,1995,0.1000000047497451\nDenmark,DNK,2000,0.1000000047497451\nDenmark,DNK,2003,0.3688679542392492\nDenmark,DNK,2004,0.3149806521832943\nDenmark,DNK,2005,0.2781513147056103\nDenmark,DNK,2006,0.1950069912709295\nDenmark,DNK,2007,0.0851585937198251\nDenmark,DNK,2008,0.2967254491522908\nDenmark,DNK,2009,0.5658648908138275\nDenmark,DNK,2010,0.0572940101847052\nDenmark,DNK,2011,0.0\nDenmark,DNK,2012,0.0\nDenmark,DNK,2013,0.310915638692677\nDenmark,DNK,2014,0.2433200599625706\nDenmark,DNK,2015,0.175425864290446\nDenmark,DNK,2016,0.2783869626000523\nDenmark,DNK,2017,0.1425427501089871\nDenmark,DNK,2018,0.2265287097543478\nDenmark,DNK,2019,0.2692090580239892\nDenmark,DNK,2020,0.1649913028813898\nDenmark,DNK,2021,0.153679633513093\nDenmark,DNK,2022,0.2444789046421647\nDenmark,DNK,2023,0.3592246910557151\n```\n\nWhat was share of population in poverty ($3 a day) for Denmark in 1977?","response":"That year is outside this chart. The series runs 1992 to 2023, and 1977 falls before it begins, so there is no value to read. The earliest point available is 1992, at 0.6 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__Denmark__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nFrance,FRA,1990,0.2000000094994902\nFrance,FRA,1996,0.2000000094994902\nFrance,FRA,1997,0.1000000047497451\nFrance,FRA,1998,0.1000000047497451\nFrance,FRA,1999,0.1000000047497451\nFrance,FRA,2000,0.1000000047497451\nFrance,FRA,2001,0.1000000047497451\nFrance,FRA,2002,0.1000000047497451\nFrance,FRA,2003,0.1724807429127395\nFrance,FRA,2004,0.0717691669706255\nFrance,FRA,2005,0.0528995704371482\nFrance,FRA,2006,0.0292775395791977\nFrance,FRA,2007,0.0182645584573037\nFrance,FRA,2008,0.0096922391094267\nFrance,FRA,2009,0.1079334295354783\nFrance,FRA,2010,0.089974352158606\nFrance,FRA,2011,0.0361604412319138\nFrance,FRA,2012,0.0609524140600115\nFrance,FRA,2013,0.0826279749162495\nFrance,FRA,2014,0.0291814299998804\nFrance,FRA,2015,0.1451841671951115\nFrance,FRA,2016,0.064708391437307\nFrance,FRA,2017,0.0184835444088093\nFrance,FRA,2018,0.0211680540814995\nFrance,FRA,2019,0.0514489947818219\nFrance,FRA,2020,0.1148958224803209\nFrance,FRA,2021,0.0705664686392992\nFrance,FRA,2022,0.0548561627510935\nFrance,FRA,2023,0.0697234645485878\n```\n\nAccording to this chart, what was share of population in poverty ($3 a day) in France in 1999?","response":"Reading the plotted point for 1999, share of population in poverty ($3 a day) in France was 0.1 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nFrance,FRA,1990,0.2000000094994902\nFrance,FRA,1996,0.2000000094994902\nFrance,FRA,1997,0.1000000047497451\nFrance,FRA,1998,0.1000000047497451\nFrance,FRA,1999,0.1000000047497451\nFrance,FRA,2000,0.1000000047497451\nFrance,FRA,2001,0.1000000047497451\nFrance,FRA,2002,0.1000000047497451\nFrance,FRA,2003,0.1724807429127395\nFrance,FRA,2004,0.0717691669706255\nFrance,FRA,2005,0.0528995704371482\nFrance,FRA,2006,0.0292775395791977\nFrance,FRA,2007,0.0182645584573037\nFrance,FRA,2008,0.0096922391094267\nFrance,FRA,2009,0.1079334295354783\nFrance,FRA,2010,0.089974352158606\nFrance,FRA,2011,0.0361604412319138\nFrance,FRA,2012,0.0609524140600115\nFrance,FRA,2013,0.0826279749162495\nFrance,FRA,2014,0.0291814299998804\nFrance,FRA,2015,0.1451841671951115\nFrance,FRA,2016,0.064708391437307\nFrance,FRA,2017,0.0184835444088093\nFrance,FRA,2018,0.0211680540814995\nFrance,FRA,2019,0.0514489947818219\nFrance,FRA,2020,0.1148958224803209\nFrance,FRA,2021,0.0705664686392992\nFrance,FRA,2022,0.0548561627510935\nFrance,FRA,2023,0.0697234645485878\n```\n\nIn which year shown does share of population in poverty ($3 a day) reach its highest value for France?","response":"The series peaks in 1990, at 0.2 %. The lowest point shown is 2008, at 0.01 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nFrance,FRA,1990,0.2000000094994902\nFrance,FRA,1996,0.2000000094994902\nFrance,FRA,1997,0.1000000047497451\nFrance,FRA,1998,0.1000000047497451\nFrance,FRA,1999,0.1000000047497451\nFrance,FRA,2000,0.1000000047497451\nFrance,FRA,2001,0.1000000047497451\nFrance,FRA,2002,0.1000000047497451\nFrance,FRA,2003,0.1724807429127395\nFrance,FRA,2004,0.0717691669706255\nFrance,FRA,2005,0.0528995704371482\nFrance,FRA,2006,0.0292775395791977\nFrance,FRA,2007,0.0182645584573037\nFrance,FRA,2008,0.0096922391094267\nFrance,FRA,2009,0.1079334295354783\nFrance,FRA,2010,0.089974352158606\nFrance,FRA,2011,0.0361604412319138\nFrance,FRA,2012,0.0609524140600115\nFrance,FRA,2013,0.0826279749162495\nFrance,FRA,2014,0.0291814299998804\nFrance,FRA,2015,0.1451841671951115\nFrance,FRA,2016,0.064708391437307\nFrance,FRA,2017,0.0184835444088093\nFrance,FRA,2018,0.0211680540814995\nFrance,FRA,2019,0.0514489947818219\nFrance,FRA,2020,0.1148958224803209\nFrance,FRA,2021,0.0705664686392992\nFrance,FRA,2022,0.0548561627510935\nFrance,FRA,2023,0.0697234645485878\n```\n\nHow much did share of population in poverty ($3 a day) change for France between 1990 and 2023?","response":"It moved from 0.2 % in 1990 to 0.07 % in 2023, a change of -0.13 % (-65.14%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nFrance,FRA,1990,0.2000000094994902\nFrance,FRA,1996,0.2000000094994902\nFrance,FRA,1997,0.1000000047497451\nFrance,FRA,1998,0.1000000047497451\nFrance,FRA,1999,0.1000000047497451\nFrance,FRA,2000,0.1000000047497451\nFrance,FRA,2001,0.1000000047497451\nFrance,FRA,2002,0.1000000047497451\nFrance,FRA,2003,0.1724807429127395\nFrance,FRA,2004,0.0717691669706255\nFrance,FRA,2005,0.0528995704371482\nFrance,FRA,2006,0.0292775395791977\nFrance,FRA,2007,0.0182645584573037\nFrance,FRA,2008,0.0096922391094267\nFrance,FRA,2009,0.1079334295354783\nFrance,FRA,2010,0.089974352158606\nFrance,FRA,2011,0.0361604412319138\nFrance,FRA,2012,0.0609524140600115\nFrance,FRA,2013,0.0826279749162495\nFrance,FRA,2014,0.0291814299998804\nFrance,FRA,2015,0.1451841671951115\nFrance,FRA,2016,0.064708391437307\nFrance,FRA,2017,0.0184835444088093\nFrance,FRA,2018,0.0211680540814995\nFrance,FRA,2019,0.0514489947818219\nFrance,FRA,2020,0.1148958224803209\nFrance,FRA,2021,0.0705664686392992\nFrance,FRA,2022,0.0548561627510935\nFrance,FRA,2023,0.0697234645485878\n```\n\nWas share of population in poverty ($3 a day) in France higher in 2007 or 2018?","response":"Higher in 2018. The chart gives 0.02 % for 2007 and 0.02 % for 2018, a difference of 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nFrance,FRA,1990,0.2000000094994902\nFrance,FRA,1996,0.2000000094994902\nFrance,FRA,1997,0.1000000047497451\nFrance,FRA,1998,0.1000000047497451\nFrance,FRA,1999,0.1000000047497451\nFrance,FRA,2000,0.1000000047497451\nFrance,FRA,2001,0.1000000047497451\nFrance,FRA,2002,0.1000000047497451\nFrance,FRA,2003,0.1724807429127395\nFrance,FRA,2004,0.0717691669706255\nFrance,FRA,2005,0.0528995704371482\nFrance,FRA,2006,0.0292775395791977\nFrance,FRA,2007,0.0182645584573037\nFrance,FRA,2008,0.0096922391094267\nFrance,FRA,2009,0.1079334295354783\nFrance,FRA,2010,0.089974352158606\nFrance,FRA,2011,0.0361604412319138\nFrance,FRA,2012,0.0609524140600115\nFrance,FRA,2013,0.0826279749162495\nFrance,FRA,2014,0.0291814299998804\nFrance,FRA,2015,0.1451841671951115\nFrance,FRA,2016,0.064708391437307\nFrance,FRA,2017,0.0184835444088093\nFrance,FRA,2018,0.0211680540814995\nFrance,FRA,2019,0.0514489947818219\nFrance,FRA,2020,0.1148958224803209\nFrance,FRA,2021,0.0705664686392992\nFrance,FRA,2022,0.0548561627510935\nFrance,FRA,2023,0.0697234645485878\n```\n\nAccording to this chart, what was share of population in poverty ($3 a day) in France in 1999?","response":"Reading the plotted point for 1999, share of population in poverty ($3 a day) in France was 0.1 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nFrance,FRA,1990,0.2000000094994902\nFrance,FRA,1996,0.2000000094994902\nFrance,FRA,1997,0.1000000047497451\nFrance,FRA,1998,0.1000000047497451\nFrance,FRA,1999,0.1000000047497451\nFrance,FRA,2000,0.1000000047497451\nFrance,FRA,2001,0.1000000047497451\nFrance,FRA,2002,0.1000000047497451\nFrance,FRA,2003,0.1724807429127395\nFrance,FRA,2004,0.0717691669706255\nFrance,FRA,2005,0.0528995704371482\nFrance,FRA,2006,0.0292775395791977\nFrance,FRA,2007,0.0182645584573037\nFrance,FRA,2008,0.0096922391094267\nFrance,FRA,2009,0.1079334295354783\nFrance,FRA,2010,0.089974352158606\nFrance,FRA,2011,0.0361604412319138\nFrance,FRA,2012,0.0609524140600115\nFrance,FRA,2013,0.0826279749162495\nFrance,FRA,2014,0.0291814299998804\nFrance,FRA,2015,0.1451841671951115\nFrance,FRA,2016,0.064708391437307\nFrance,FRA,2017,0.0184835444088093\nFrance,FRA,2018,0.0211680540814995\nFrance,FRA,2019,0.0514489947818219\nFrance,FRA,2020,0.1148958224803209\nFrance,FRA,2021,0.0705664686392992\nFrance,FRA,2022,0.0548561627510935\nFrance,FRA,2023,0.0697234645485878\n```\n\nIn which year shown does share of population in poverty ($3 a day) reach its highest value for France?","response":"The series peaks in 1990, at 0.2 %. The lowest point shown is 2008, at 0.01 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nFrance,FRA,1990,0.2000000094994902\nFrance,FRA,1996,0.2000000094994902\nFrance,FRA,1997,0.1000000047497451\nFrance,FRA,1998,0.1000000047497451\nFrance,FRA,1999,0.1000000047497451\nFrance,FRA,2000,0.1000000047497451\nFrance,FRA,2001,0.1000000047497451\nFrance,FRA,2002,0.1000000047497451\nFrance,FRA,2003,0.1724807429127395\nFrance,FRA,2004,0.0717691669706255\nFrance,FRA,2005,0.0528995704371482\nFrance,FRA,2006,0.0292775395791977\nFrance,FRA,2007,0.0182645584573037\nFrance,FRA,2008,0.0096922391094267\nFrance,FRA,2009,0.1079334295354783\nFrance,FRA,2010,0.089974352158606\nFrance,FRA,2011,0.0361604412319138\nFrance,FRA,2012,0.0609524140600115\nFrance,FRA,2013,0.0826279749162495\nFrance,FRA,2014,0.0291814299998804\nFrance,FRA,2015,0.1451841671951115\nFrance,FRA,2016,0.064708391437307\nFrance,FRA,2017,0.0184835444088093\nFrance,FRA,2018,0.0211680540814995\nFrance,FRA,2019,0.0514489947818219\nFrance,FRA,2020,0.1148958224803209\nFrance,FRA,2021,0.0705664686392992\nFrance,FRA,2022,0.0548561627510935\nFrance,FRA,2023,0.0697234645485878\n```\n\nHow much did share of population in poverty ($3 a day) change for France between 1990 and 2023?","response":"It moved from 0.2 % in 1990 to 0.07 % in 2023, a change of -0.13 % (-65.14%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nFrance,FRA,1990,0.2000000094994902\nFrance,FRA,1996,0.2000000094994902\nFrance,FRA,1997,0.1000000047497451\nFrance,FRA,1998,0.1000000047497451\nFrance,FRA,1999,0.1000000047497451\nFrance,FRA,2000,0.1000000047497451\nFrance,FRA,2001,0.1000000047497451\nFrance,FRA,2002,0.1000000047497451\nFrance,FRA,2003,0.1724807429127395\nFrance,FRA,2004,0.0717691669706255\nFrance,FRA,2005,0.0528995704371482\nFrance,FRA,2006,0.0292775395791977\nFrance,FRA,2007,0.0182645584573037\nFrance,FRA,2008,0.0096922391094267\nFrance,FRA,2009,0.1079334295354783\nFrance,FRA,2010,0.089974352158606\nFrance,FRA,2011,0.0361604412319138\nFrance,FRA,2012,0.0609524140600115\nFrance,FRA,2013,0.0826279749162495\nFrance,FRA,2014,0.0291814299998804\nFrance,FRA,2015,0.1451841671951115\nFrance,FRA,2016,0.064708391437307\nFrance,FRA,2017,0.0184835444088093\nFrance,FRA,2018,0.0211680540814995\nFrance,FRA,2019,0.0514489947818219\nFrance,FRA,2020,0.1148958224803209\nFrance,FRA,2021,0.0705664686392992\nFrance,FRA,2022,0.0548561627510935\nFrance,FRA,2023,0.0697234645485878\n```\n\nWas share of population in poverty ($3 a day) in France higher in 2007 or 2018?","response":"Higher in 2018. The chart gives 0.02 % for 2007 and 0.02 % for 2018, a difference of 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nFrance,FRA,1990,0.2000000094994902\nFrance,FRA,1996,0.2000000094994902\nFrance,FRA,1997,0.1000000047497451\nFrance,FRA,1998,0.1000000047497451\nFrance,FRA,1999,0.1000000047497451\nFrance,FRA,2000,0.1000000047497451\nFrance,FRA,2001,0.1000000047497451\nFrance,FRA,2002,0.1000000047497451\nFrance,FRA,2003,0.1724807429127395\nFrance,FRA,2004,0.0717691669706255\nFrance,FRA,2005,0.0528995704371482\nFrance,FRA,2006,0.0292775395791977\nFrance,FRA,2007,0.0182645584573037\nFrance,FRA,2008,0.0096922391094267\nFrance,FRA,2009,0.1079334295354783\nFrance,FRA,2010,0.089974352158606\nFrance,FRA,2011,0.0361604412319138\nFrance,FRA,2012,0.0609524140600115\nFrance,FRA,2013,0.0826279749162495\nFrance,FRA,2014,0.0291814299998804\nFrance,FRA,2015,0.1451841671951115\nFrance,FRA,2016,0.064708391437307\nFrance,FRA,2017,0.0184835444088093\nFrance,FRA,2018,0.0211680540814995\nFrance,FRA,2019,0.0514489947818219\nFrance,FRA,2020,0.1148958224803209\nFrance,FRA,2021,0.0705664686392992\nFrance,FRA,2022,0.0548561627510935\nFrance,FRA,2023,0.0697234645485878\n```\n\nBased on this chart, is share of population in poverty ($3 a day) in France rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.2 % to 0.07 %, a change of -65.14%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nFrance,FRA,2007,0.0182645584573037\nFrance,FRA,2008,0.0096922391094267\nFrance,FRA,2009,0.1079334295354783\nFrance,FRA,2010,0.089974352158606\nFrance,FRA,2011,0.0361604412319138\nFrance,FRA,2012,0.0609524140600115\nFrance,FRA,2013,0.0826279749162495\nFrance,FRA,2014,0.0291814299998804\nFrance,FRA,2015,0.1451841671951115\n```\n\nWhat does this chart suggest about the long-run direction of share of population in poverty ($3 a day) in France?","response":"Within the window shown (2007-2015) the series moves +694.90%, but that window runs against the longer record. Across the full series (1990-2023) the change is -65.14%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population in poverty ($3 a day)\nFrance,FRA,1990,0.2000000094994902\nFrance,FRA,1996,0.2000000094994902\nFrance,FRA,1997,0.1000000047497451\nFrance,FRA,1998,0.1000000047497451\nFrance,FRA,1999,0.1000000047497451\nFrance,FRA,2000,0.1000000047497451\nFrance,FRA,2001,0.1000000047497451\nFrance,FRA,2002,0.1000000047497451\nFrance,FRA,2003,0.1724807429127395\nFrance,FRA,2004,0.0717691669706255\nFrance,FRA,2005,0.0528995704371482\nFrance,FRA,2006,0.0292775395791977\nFrance,FRA,2007,0.0182645584573037\nFrance,FRA,2008,0.0096922391094267\nFrance,FRA,2009,0.1079334295354783\nFrance,FRA,2010,0.089974352158606\nFrance,FRA,2011,0.0361604412319138\nFrance,FRA,2012,0.0609524140600115\nFrance,FRA,2013,0.0826279749162495\nFrance,FRA,2014,0.0291814299998804\nFrance,FRA,2015,0.1451841671951115\nFrance,FRA,2016,0.064708391437307\nFrance,FRA,2017,0.0184835444088093\nFrance,FRA,2018,0.0211680540814995\nFrance,FRA,2019,0.0514489947818219\nFrance,FRA,2020,0.1148958224803209\nFrance,FRA,2021,0.0705664686392992\nFrance,FRA,2022,0.0548561627510935\nFrance,FRA,2023,0.0697234645485878\n```\n\nWhat was share of population in poverty ($3 a day) for France in 1975?","response":"That year is outside this chart. The series runs 1990 to 2023, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 0.2 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-in-extreme-poverty__France__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in extreme poverty","source_citation":"World Bank Poverty and Inequality Platform (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-in-extreme-poverty?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nFrance,FRA,2000,9.427023\nFrance,FRA,2001,9.29799\nFrance,FRA,2002,9.280669\nFrance,FRA,2003,9.236964\nFrance,FRA,2004,9.0756645\nFrance,FRA,2005,9.166545\nFrance,FRA,2006,9.306399\nFrance,FRA,2007,9.301704\nFrance,FRA,2008,9.603142\nFrance,FRA,2009,9.73263\nFrance,FRA,2010,9.432145\nFrance,FRA,2011,9.274751\nFrance,FRA,2012,9.081495\nFrance,FRA,2013,8.882489\nFrance,FRA,2014,8.815784\nFrance,FRA,2015,8.775811\nFrance,FRA,2016,8.758617\nFrance,FRA,2017,8.454889\nFrance,FRA,2018,8.58842\nFrance,FRA,2019,8.363643\nFrance,FRA,2020,8.889554\nFrance,FRA,2021,8.788717\nFrance,FRA,2022,8.704691\nFrance,FRA,2023,7.3045464\n```\n\nAccording to this chart, what was maternal mortality ratio (per 100 000 live births) in France in 2018?","response":"Reading the plotted point for 2018, maternal mortality ratio (per 100 000 live births) in France was 8.59 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nFrance,FRA,2000,9.427023\nFrance,FRA,2001,9.29799\nFrance,FRA,2002,9.280669\nFrance,FRA,2003,9.236964\nFrance,FRA,2004,9.0756645\nFrance,FRA,2005,9.166545\nFrance,FRA,2006,9.306399\nFrance,FRA,2007,9.301704\nFrance,FRA,2008,9.603142\nFrance,FRA,2009,9.73263\nFrance,FRA,2010,9.432145\nFrance,FRA,2011,9.274751\nFrance,FRA,2012,9.081495\nFrance,FRA,2013,8.882489\nFrance,FRA,2014,8.815784\nFrance,FRA,2015,8.775811\nFrance,FRA,2016,8.758617\nFrance,FRA,2017,8.454889\nFrance,FRA,2018,8.58842\nFrance,FRA,2019,8.363643\nFrance,FRA,2020,8.889554\nFrance,FRA,2021,8.788717\nFrance,FRA,2022,8.704691\nFrance,FRA,2023,7.3045464\n```\n\nIn which year shown does maternal mortality ratio (per 100 000 live births) reach its highest value for France?","response":"The series peaks in 2009, at 9.73 Deaths per 100 000 live births. The lowest point shown is 2023, at 7.3 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nFrance,FRA,2000,9.427023\nFrance,FRA,2001,9.29799\nFrance,FRA,2002,9.280669\nFrance,FRA,2003,9.236964\nFrance,FRA,2004,9.0756645\nFrance,FRA,2005,9.166545\nFrance,FRA,2006,9.306399\nFrance,FRA,2007,9.301704\nFrance,FRA,2008,9.603142\nFrance,FRA,2009,9.73263\nFrance,FRA,2010,9.432145\nFrance,FRA,2011,9.274751\nFrance,FRA,2012,9.081495\nFrance,FRA,2013,8.882489\nFrance,FRA,2014,8.815784\nFrance,FRA,2015,8.775811\nFrance,FRA,2016,8.758617\nFrance,FRA,2017,8.454889\nFrance,FRA,2018,8.58842\nFrance,FRA,2019,8.363643\nFrance,FRA,2020,8.889554\nFrance,FRA,2021,8.788717\nFrance,FRA,2022,8.704691\nFrance,FRA,2023,7.3045464\n```\n\nHow much did maternal mortality ratio (per 100 000 live births) change for France between 2000 and 2023?","response":"It moved from 9.43 Deaths per 100 000 live births in 2000 to 7.3 Deaths per 100 000 live births in 2023, a change of -2.12 Deaths per 100 000 live births (-22.51%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nFrance,FRA,2000,9.427023\nFrance,FRA,2001,9.29799\nFrance,FRA,2002,9.280669\nFrance,FRA,2003,9.236964\nFrance,FRA,2004,9.0756645\nFrance,FRA,2005,9.166545\nFrance,FRA,2006,9.306399\nFrance,FRA,2007,9.301704\nFrance,FRA,2008,9.603142\nFrance,FRA,2009,9.73263\nFrance,FRA,2010,9.432145\nFrance,FRA,2011,9.274751\nFrance,FRA,2012,9.081495\nFrance,FRA,2013,8.882489\nFrance,FRA,2014,8.815784\nFrance,FRA,2015,8.775811\nFrance,FRA,2016,8.758617\nFrance,FRA,2017,8.454889\nFrance,FRA,2018,8.58842\nFrance,FRA,2019,8.363643\nFrance,FRA,2020,8.889554\nFrance,FRA,2021,8.788717\nFrance,FRA,2022,8.704691\nFrance,FRA,2023,7.3045464\n```\n\nWas maternal mortality ratio (per 100 000 live births) in France higher in 2000 or 2016?","response":"Higher in 2000. The chart gives 9.43 Deaths per 100 000 live births for 2000 and 8.76 Deaths per 100 000 live births for 2016, a difference of 0.67 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nFrance,FRA,2000,9.427023\nFrance,FRA,2001,9.29799\nFrance,FRA,2002,9.280669\nFrance,FRA,2003,9.236964\nFrance,FRA,2004,9.0756645\nFrance,FRA,2005,9.166545\nFrance,FRA,2006,9.306399\nFrance,FRA,2007,9.301704\nFrance,FRA,2008,9.603142\nFrance,FRA,2009,9.73263\nFrance,FRA,2010,9.432145\nFrance,FRA,2011,9.274751\nFrance,FRA,2012,9.081495\nFrance,FRA,2013,8.882489\nFrance,FRA,2014,8.815784\nFrance,FRA,2015,8.775811\nFrance,FRA,2016,8.758617\nFrance,FRA,2017,8.454889\nFrance,FRA,2018,8.58842\nFrance,FRA,2019,8.363643\nFrance,FRA,2020,8.889554\nFrance,FRA,2021,8.788717\nFrance,FRA,2022,8.704691\nFrance,FRA,2023,7.3045464\n```\n\nAccording to this chart, what was maternal mortality ratio (per 100 000 live births) in France in 2018?","response":"Reading the plotted point for 2018, maternal mortality ratio (per 100 000 live births) in France was 8.59 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nFrance,FRA,2000,9.427023\nFrance,FRA,2001,9.29799\nFrance,FRA,2002,9.280669\nFrance,FRA,2003,9.236964\nFrance,FRA,2004,9.0756645\nFrance,FRA,2005,9.166545\nFrance,FRA,2006,9.306399\nFrance,FRA,2007,9.301704\nFrance,FRA,2008,9.603142\nFrance,FRA,2009,9.73263\nFrance,FRA,2010,9.432145\nFrance,FRA,2011,9.274751\nFrance,FRA,2012,9.081495\nFrance,FRA,2013,8.882489\nFrance,FRA,2014,8.815784\nFrance,FRA,2015,8.775811\nFrance,FRA,2016,8.758617\nFrance,FRA,2017,8.454889\nFrance,FRA,2018,8.58842\nFrance,FRA,2019,8.363643\nFrance,FRA,2020,8.889554\nFrance,FRA,2021,8.788717\nFrance,FRA,2022,8.704691\nFrance,FRA,2023,7.3045464\n```\n\nIn which year shown does maternal mortality ratio (per 100 000 live births) reach its highest value for France?","response":"The series peaks in 2009, at 9.73 Deaths per 100 000 live births. The lowest point shown is 2023, at 7.3 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nFrance,FRA,2000,9.427023\nFrance,FRA,2001,9.29799\nFrance,FRA,2002,9.280669\nFrance,FRA,2003,9.236964\nFrance,FRA,2004,9.0756645\nFrance,FRA,2005,9.166545\nFrance,FRA,2006,9.306399\nFrance,FRA,2007,9.301704\nFrance,FRA,2008,9.603142\nFrance,FRA,2009,9.73263\nFrance,FRA,2010,9.432145\nFrance,FRA,2011,9.274751\nFrance,FRA,2012,9.081495\nFrance,FRA,2013,8.882489\nFrance,FRA,2014,8.815784\nFrance,FRA,2015,8.775811\nFrance,FRA,2016,8.758617\nFrance,FRA,2017,8.454889\nFrance,FRA,2018,8.58842\nFrance,FRA,2019,8.363643\nFrance,FRA,2020,8.889554\nFrance,FRA,2021,8.788717\nFrance,FRA,2022,8.704691\nFrance,FRA,2023,7.3045464\n```\n\nHow much did maternal mortality ratio (per 100 000 live births) change for France between 2000 and 2023?","response":"It moved from 9.43 Deaths per 100 000 live births in 2000 to 7.3 Deaths per 100 000 live births in 2023, a change of -2.12 Deaths per 100 000 live births (-22.51%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nFrance,FRA,2000,9.427023\nFrance,FRA,2001,9.29799\nFrance,FRA,2002,9.280669\nFrance,FRA,2003,9.236964\nFrance,FRA,2004,9.0756645\nFrance,FRA,2005,9.166545\nFrance,FRA,2006,9.306399\nFrance,FRA,2007,9.301704\nFrance,FRA,2008,9.603142\nFrance,FRA,2009,9.73263\nFrance,FRA,2010,9.432145\nFrance,FRA,2011,9.274751\nFrance,FRA,2012,9.081495\nFrance,FRA,2013,8.882489\nFrance,FRA,2014,8.815784\nFrance,FRA,2015,8.775811\nFrance,FRA,2016,8.758617\nFrance,FRA,2017,8.454889\nFrance,FRA,2018,8.58842\nFrance,FRA,2019,8.363643\nFrance,FRA,2020,8.889554\nFrance,FRA,2021,8.788717\nFrance,FRA,2022,8.704691\nFrance,FRA,2023,7.3045464\n```\n\nWas maternal mortality ratio (per 100 000 live births) in France higher in 2000 or 2016?","response":"Higher in 2000. The chart gives 9.43 Deaths per 100 000 live births for 2000 and 8.76 Deaths per 100 000 live births for 2016, a difference of 0.67 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nFrance,FRA,2000,9.427023\nFrance,FRA,2001,9.29799\nFrance,FRA,2002,9.280669\nFrance,FRA,2003,9.236964\nFrance,FRA,2004,9.0756645\nFrance,FRA,2005,9.166545\nFrance,FRA,2006,9.306399\nFrance,FRA,2007,9.301704\nFrance,FRA,2008,9.603142\nFrance,FRA,2009,9.73263\nFrance,FRA,2010,9.432145\nFrance,FRA,2011,9.274751\nFrance,FRA,2012,9.081495\nFrance,FRA,2013,8.882489\nFrance,FRA,2014,8.815784\nFrance,FRA,2015,8.775811\nFrance,FRA,2016,8.758617\nFrance,FRA,2017,8.454889\nFrance,FRA,2018,8.58842\nFrance,FRA,2019,8.363643\nFrance,FRA,2020,8.889554\nFrance,FRA,2021,8.788717\nFrance,FRA,2022,8.704691\nFrance,FRA,2023,7.3045464\n```\n\nBased on this chart, is maternal mortality ratio (per 100 000 live births) in France rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 9.43 Deaths per 100 000 live births to 7.3 Deaths per 100 000 live births, a change of -22.51%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nFrance,FRA,2000,9.427023\nFrance,FRA,2001,9.29799\nFrance,FRA,2002,9.280669\nFrance,FRA,2003,9.236964\nFrance,FRA,2004,9.0756645\nFrance,FRA,2005,9.166545\nFrance,FRA,2006,9.306399\nFrance,FRA,2007,9.301704\nFrance,FRA,2008,9.603142\nFrance,FRA,2009,9.73263\nFrance,FRA,2010,9.432145\nFrance,FRA,2011,9.274751\nFrance,FRA,2012,9.081495\nFrance,FRA,2013,8.882489\nFrance,FRA,2014,8.815784\nFrance,FRA,2015,8.775811\nFrance,FRA,2016,8.758617\nFrance,FRA,2017,8.454889\nFrance,FRA,2018,8.58842\nFrance,FRA,2019,8.363643\nFrance,FRA,2020,8.889554\nFrance,FRA,2021,8.788717\nFrance,FRA,2022,8.704691\nFrance,FRA,2023,7.3045464\n```\n\nThis chart makes the change in maternal mortality ratio (per 100 000 live births) for France look dramatic. Is it?","response":"The values change by -22.51%, from 9.43 Deaths per 100 000 live births to 7.3 Deaths per 100 000 live births. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nFrance,FRA,2002,9.280669\nFrance,FRA,2003,9.236964\nFrance,FRA,2004,9.0756645\nFrance,FRA,2005,9.166545\nFrance,FRA,2006,9.306399\nFrance,FRA,2007,9.301704\nFrance,FRA,2008,9.603142\nFrance,FRA,2009,9.73263\nFrance,FRA,2010,9.432145\n```\n\nWhat does this chart suggest about the long-run direction of maternal mortality ratio (per 100 000 live births) in France?","response":"Within the window shown (2002-2010) the series moves +1.63%, but that window runs against the longer record. Across the full series (2000-2023) the change is -22.51%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nFrance,FRA,2000,9.427023\nFrance,FRA,2001,9.29799\nFrance,FRA,2002,9.280669\nFrance,FRA,2003,9.236964\nFrance,FRA,2004,9.0756645\nFrance,FRA,2005,9.166545\nFrance,FRA,2006,9.306399\nFrance,FRA,2007,9.301704\nFrance,FRA,2008,9.603142\nFrance,FRA,2009,9.73263\nFrance,FRA,2010,9.432145\nFrance,FRA,2011,9.274751\nFrance,FRA,2012,9.081495\nFrance,FRA,2013,8.882489\nFrance,FRA,2014,8.815784\nFrance,FRA,2015,8.775811\nFrance,FRA,2016,8.758617\nFrance,FRA,2017,8.454889\nFrance,FRA,2018,8.58842\nFrance,FRA,2019,8.363643\nFrance,FRA,2020,8.889554\nFrance,FRA,2021,8.788717\nFrance,FRA,2022,8.704691\nFrance,FRA,2023,7.3045464\n```\n\nHow does France compare with Chile on this measure?","response":"This chart covers France only, so Chile is not plotted and I cannot compare them from it. The chart does support statements about France on its own: the series runs from 9.43 Deaths per 100 000 live births in 2000 to 7.3 Deaths per 100 000 live births in 2023.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__France__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nCanada,CAN,2000,8.987356\nCanada,CAN,2001,9.543358\nCanada,CAN,2002,9.963342\nCanada,CAN,2003,10.264401\nCanada,CAN,2004,10.342157\nCanada,CAN,2005,11.17144\nCanada,CAN,2006,11.2082205\nCanada,CAN,2007,11.398319\nCanada,CAN,2008,11.898346\nCanada,CAN,2009,12.0552435\nCanada,CAN,2010,11.382503\nCanada,CAN,2011,11.331713\nCanada,CAN,2012,11.466284\nCanada,CAN,2013,11.1419\nCanada,CAN,2014,11.510864\nCanada,CAN,2015,11.312374\nCanada,CAN,2016,12.003898\nCanada,CAN,2017,12.264577\nCanada,CAN,2018,12.580518\nCanada,CAN,2019,12.266444\nCanada,CAN,2020,16.651735\nCanada,CAN,2021,13.581739\nCanada,CAN,2022,14.637014\nCanada,CAN,2023,11.784786\n```\n\nAccording to this chart, what was maternal mortality ratio (per 100 000 live births) in Canada in 2006?","response":"Reading the plotted point for 2006, maternal mortality ratio (per 100 000 live births) in Canada was 11.21 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nCanada,CAN,2000,8.987356\nCanada,CAN,2001,9.543358\nCanada,CAN,2002,9.963342\nCanada,CAN,2003,10.264401\nCanada,CAN,2004,10.342157\nCanada,CAN,2005,11.17144\nCanada,CAN,2006,11.2082205\nCanada,CAN,2007,11.398319\nCanada,CAN,2008,11.898346\nCanada,CAN,2009,12.0552435\nCanada,CAN,2010,11.382503\nCanada,CAN,2011,11.331713\nCanada,CAN,2012,11.466284\nCanada,CAN,2013,11.1419\nCanada,CAN,2014,11.510864\nCanada,CAN,2015,11.312374\nCanada,CAN,2016,12.003898\nCanada,CAN,2017,12.264577\nCanada,CAN,2018,12.580518\nCanada,CAN,2019,12.266444\nCanada,CAN,2020,16.651735\nCanada,CAN,2021,13.581739\nCanada,CAN,2022,14.637014\nCanada,CAN,2023,11.784786\n```\n\nIn which year shown does maternal mortality ratio (per 100 000 live births) reach its highest value for Canada?","response":"The series peaks in 2020, at 16.65 Deaths per 100 000 live births. The lowest point shown is 2000, at 8.99 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nCanada,CAN,2000,8.987356\nCanada,CAN,2001,9.543358\nCanada,CAN,2002,9.963342\nCanada,CAN,2003,10.264401\nCanada,CAN,2004,10.342157\nCanada,CAN,2005,11.17144\nCanada,CAN,2006,11.2082205\nCanada,CAN,2007,11.398319\nCanada,CAN,2008,11.898346\nCanada,CAN,2009,12.0552435\nCanada,CAN,2010,11.382503\nCanada,CAN,2011,11.331713\nCanada,CAN,2012,11.466284\nCanada,CAN,2013,11.1419\nCanada,CAN,2014,11.510864\nCanada,CAN,2015,11.312374\nCanada,CAN,2016,12.003898\nCanada,CAN,2017,12.264577\nCanada,CAN,2018,12.580518\nCanada,CAN,2019,12.266444\nCanada,CAN,2020,16.651735\nCanada,CAN,2021,13.581739\nCanada,CAN,2022,14.637014\nCanada,CAN,2023,11.784786\n```\n\nHow much did maternal mortality ratio (per 100 000 live births) change for Canada between 2000 and 2023?","response":"It moved from 8.99 Deaths per 100 000 live births in 2000 to 11.78 Deaths per 100 000 live births in 2023, a change of 2.8 Deaths per 100 000 live births (+31.13%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nCanada,CAN,2000,8.987356\nCanada,CAN,2001,9.543358\nCanada,CAN,2002,9.963342\nCanada,CAN,2003,10.264401\nCanada,CAN,2004,10.342157\nCanada,CAN,2005,11.17144\nCanada,CAN,2006,11.2082205\nCanada,CAN,2007,11.398319\nCanada,CAN,2008,11.898346\nCanada,CAN,2009,12.0552435\nCanada,CAN,2010,11.382503\nCanada,CAN,2011,11.331713\nCanada,CAN,2012,11.466284\nCanada,CAN,2013,11.1419\nCanada,CAN,2014,11.510864\nCanada,CAN,2015,11.312374\nCanada,CAN,2016,12.003898\nCanada,CAN,2017,12.264577\nCanada,CAN,2018,12.580518\nCanada,CAN,2019,12.266444\nCanada,CAN,2020,16.651735\nCanada,CAN,2021,13.581739\nCanada,CAN,2022,14.637014\nCanada,CAN,2023,11.784786\n```\n\nWas maternal mortality ratio (per 100 000 live births) in Canada higher in 2008 or 2023?","response":"Higher in 2008. The chart gives 11.9 Deaths per 100 000 live births for 2008 and 11.78 Deaths per 100 000 live births for 2023, a difference of 0.11 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nCanada,CAN,2000,8.987356\nCanada,CAN,2001,9.543358\nCanada,CAN,2002,9.963342\nCanada,CAN,2003,10.264401\nCanada,CAN,2004,10.342157\nCanada,CAN,2005,11.17144\nCanada,CAN,2006,11.2082205\nCanada,CAN,2007,11.398319\nCanada,CAN,2008,11.898346\nCanada,CAN,2009,12.0552435\nCanada,CAN,2010,11.382503\nCanada,CAN,2011,11.331713\nCanada,CAN,2012,11.466284\nCanada,CAN,2013,11.1419\nCanada,CAN,2014,11.510864\nCanada,CAN,2015,11.312374\nCanada,CAN,2016,12.003898\nCanada,CAN,2017,12.264577\nCanada,CAN,2018,12.580518\nCanada,CAN,2019,12.266444\nCanada,CAN,2020,16.651735\nCanada,CAN,2021,13.581739\nCanada,CAN,2022,14.637014\nCanada,CAN,2023,11.784786\n```\n\nAccording to this chart, what was maternal mortality ratio (per 100 000 live births) in Canada in 2006?","response":"Reading the plotted point for 2006, maternal mortality ratio (per 100 000 live births) in Canada was 11.21 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nCanada,CAN,2000,8.987356\nCanada,CAN,2001,9.543358\nCanada,CAN,2002,9.963342\nCanada,CAN,2003,10.264401\nCanada,CAN,2004,10.342157\nCanada,CAN,2005,11.17144\nCanada,CAN,2006,11.2082205\nCanada,CAN,2007,11.398319\nCanada,CAN,2008,11.898346\nCanada,CAN,2009,12.0552435\nCanada,CAN,2010,11.382503\nCanada,CAN,2011,11.331713\nCanada,CAN,2012,11.466284\nCanada,CAN,2013,11.1419\nCanada,CAN,2014,11.510864\nCanada,CAN,2015,11.312374\nCanada,CAN,2016,12.003898\nCanada,CAN,2017,12.264577\nCanada,CAN,2018,12.580518\nCanada,CAN,2019,12.266444\nCanada,CAN,2020,16.651735\nCanada,CAN,2021,13.581739\nCanada,CAN,2022,14.637014\nCanada,CAN,2023,11.784786\n```\n\nIn which year shown does maternal mortality ratio (per 100 000 live births) reach its highest value for Canada?","response":"The series peaks in 2020, at 16.65 Deaths per 100 000 live births. The lowest point shown is 2000, at 8.99 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nCanada,CAN,2000,8.987356\nCanada,CAN,2001,9.543358\nCanada,CAN,2002,9.963342\nCanada,CAN,2003,10.264401\nCanada,CAN,2004,10.342157\nCanada,CAN,2005,11.17144\nCanada,CAN,2006,11.2082205\nCanada,CAN,2007,11.398319\nCanada,CAN,2008,11.898346\nCanada,CAN,2009,12.0552435\nCanada,CAN,2010,11.382503\nCanada,CAN,2011,11.331713\nCanada,CAN,2012,11.466284\nCanada,CAN,2013,11.1419\nCanada,CAN,2014,11.510864\nCanada,CAN,2015,11.312374\nCanada,CAN,2016,12.003898\nCanada,CAN,2017,12.264577\nCanada,CAN,2018,12.580518\nCanada,CAN,2019,12.266444\nCanada,CAN,2020,16.651735\nCanada,CAN,2021,13.581739\nCanada,CAN,2022,14.637014\nCanada,CAN,2023,11.784786\n```\n\nHow much did maternal mortality ratio (per 100 000 live births) change for Canada between 2000 and 2023?","response":"It moved from 8.99 Deaths per 100 000 live births in 2000 to 11.78 Deaths per 100 000 live births in 2023, a change of 2.8 Deaths per 100 000 live births (+31.13%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nCanada,CAN,2000,8.987356\nCanada,CAN,2001,9.543358\nCanada,CAN,2002,9.963342\nCanada,CAN,2003,10.264401\nCanada,CAN,2004,10.342157\nCanada,CAN,2005,11.17144\nCanada,CAN,2006,11.2082205\nCanada,CAN,2007,11.398319\nCanada,CAN,2008,11.898346\nCanada,CAN,2009,12.0552435\nCanada,CAN,2010,11.382503\nCanada,CAN,2011,11.331713\nCanada,CAN,2012,11.466284\nCanada,CAN,2013,11.1419\nCanada,CAN,2014,11.510864\nCanada,CAN,2015,11.312374\nCanada,CAN,2016,12.003898\nCanada,CAN,2017,12.264577\nCanada,CAN,2018,12.580518\nCanada,CAN,2019,12.266444\nCanada,CAN,2020,16.651735\nCanada,CAN,2021,13.581739\nCanada,CAN,2022,14.637014\nCanada,CAN,2023,11.784786\n```\n\nWas maternal mortality ratio (per 100 000 live births) in Canada higher in 2008 or 2023?","response":"Higher in 2008. The chart gives 11.9 Deaths per 100 000 live births for 2008 and 11.78 Deaths per 100 000 live births for 2023, a difference of 0.11 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nCanada,CAN,2000,8.987356\nCanada,CAN,2001,9.543358\nCanada,CAN,2002,9.963342\nCanada,CAN,2003,10.264401\nCanada,CAN,2004,10.342157\nCanada,CAN,2005,11.17144\nCanada,CAN,2006,11.2082205\nCanada,CAN,2007,11.398319\nCanada,CAN,2008,11.898346\nCanada,CAN,2009,12.0552435\nCanada,CAN,2010,11.382503\nCanada,CAN,2011,11.331713\nCanada,CAN,2012,11.466284\nCanada,CAN,2013,11.1419\nCanada,CAN,2014,11.510864\nCanada,CAN,2015,11.312374\nCanada,CAN,2016,12.003898\nCanada,CAN,2017,12.264577\nCanada,CAN,2018,12.580518\nCanada,CAN,2019,12.266444\nCanada,CAN,2020,16.651735\nCanada,CAN,2021,13.581739\nCanada,CAN,2022,14.637014\nCanada,CAN,2023,11.784786\n```\n\nThis chart appears to show maternal mortality ratio (per 100 000 live births) in Canada rising steeply. How large is the increase actually?","response":"The plotted values run from 8.99 Deaths per 100 000 live births to 11.78 Deaths per 100 000 live births, so the actual change is +31.13%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 8.8341 instead of zero, which magnifies the visual change by roughly 2.26x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nCanada,CAN,2000,8.987356\nCanada,CAN,2001,9.543358\nCanada,CAN,2002,9.963342\nCanada,CAN,2003,10.264401\nCanada,CAN,2004,10.342157\nCanada,CAN,2005,11.17144\nCanada,CAN,2006,11.2082205\nCanada,CAN,2007,11.398319\nCanada,CAN,2008,11.898346\nCanada,CAN,2009,12.0552435\nCanada,CAN,2010,11.382503\nCanada,CAN,2011,11.331713\nCanada,CAN,2012,11.466284\nCanada,CAN,2013,11.1419\nCanada,CAN,2014,11.510864\nCanada,CAN,2015,11.312374\nCanada,CAN,2016,12.003898\nCanada,CAN,2017,12.264577\nCanada,CAN,2018,12.580518\nCanada,CAN,2019,12.266444\nCanada,CAN,2020,16.651735\nCanada,CAN,2021,13.581739\nCanada,CAN,2022,14.637014\nCanada,CAN,2023,11.784786\n```\n\nBased on this chart, is maternal mortality ratio (per 100 000 live births) in Canada rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 8.99 Deaths per 100 000 live births to 11.78 Deaths per 100 000 live births, a change of +31.13%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nCanada,CAN,2007,11.398319\nCanada,CAN,2008,11.898346\nCanada,CAN,2009,12.0552435\nCanada,CAN,2010,11.382503\nCanada,CAN,2011,11.331713\nCanada,CAN,2012,11.466284\nCanada,CAN,2013,11.1419\nCanada,CAN,2014,11.510864\nCanada,CAN,2015,11.312374\n```\n\nWhat does this chart suggest about the long-run direction of maternal mortality ratio (per 100 000 live births) in Canada?","response":"Within the window shown (2007-2015) the series moves -0.75%, but that window runs against the longer record. Across the full series (2000-2023) the change is +31.13%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nCanada,CAN,2000,8.987356\nCanada,CAN,2001,9.543358\nCanada,CAN,2002,9.963342\nCanada,CAN,2003,10.264401\nCanada,CAN,2004,10.342157\nCanada,CAN,2005,11.17144\nCanada,CAN,2006,11.2082205\nCanada,CAN,2007,11.398319\nCanada,CAN,2008,11.898346\nCanada,CAN,2009,12.0552435\nCanada,CAN,2010,11.382503\nCanada,CAN,2011,11.331713\nCanada,CAN,2012,11.466284\nCanada,CAN,2013,11.1419\nCanada,CAN,2014,11.510864\nCanada,CAN,2015,11.312374\nCanada,CAN,2016,12.003898\nCanada,CAN,2017,12.264577\nCanada,CAN,2018,12.580518\nCanada,CAN,2019,12.266444\nCanada,CAN,2020,16.651735\nCanada,CAN,2021,13.581739\nCanada,CAN,2022,14.637014\nCanada,CAN,2023,11.784786\n```\n\nWhat was maternal mortality ratio (per 100 000 live births) for Canada in 1985?","response":"That year is outside this chart. The series runs 2000 to 2023, and 1985 falls before it begins, so there is no value to read. The earliest point available is 2000, at 8.99 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Canada__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nUnited Kingdom,GBR,2000,12.038319\nUnited Kingdom,GBR,2001,12.53768\nUnited Kingdom,GBR,2002,13.200426\nUnited Kingdom,GBR,2003,13.555636\nUnited Kingdom,GBR,2004,13.102599\nUnited Kingdom,GBR,2005,12.297018\nUnited Kingdom,GBR,2006,11.746963\nUnited Kingdom,GBR,2007,11.135342\nUnited Kingdom,GBR,2008,11.091007\nUnited Kingdom,GBR,2009,10.563662\nUnited Kingdom,GBR,2010,10.215335\nUnited Kingdom,GBR,2011,9.673907\nUnited Kingdom,GBR,2012,8.926204\nUnited Kingdom,GBR,2013,8.708592\nUnited Kingdom,GBR,2014,8.981877\nUnited Kingdom,GBR,2015,9.151726\nUnited Kingdom,GBR,2016,9.4143\nUnited Kingdom,GBR,2017,9.146049\nUnited Kingdom,GBR,2018,9.360103\nUnited Kingdom,GBR,2019,9.085221\nUnited Kingdom,GBR,2020,13.53946\nUnited Kingdom,GBR,2021,12.919217\nUnited Kingdom,GBR,2022,15.172737\nUnited Kingdom,GBR,2023,8.305989\n```\n\nAccording to this chart, what was maternal mortality ratio (per 100 000 live births) in United Kingdom in 2012?","response":"Reading the plotted point for 2012, maternal mortality ratio (per 100 000 live births) in United Kingdom was 8.93 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nUnited Kingdom,GBR,2000,12.038319\nUnited Kingdom,GBR,2001,12.53768\nUnited Kingdom,GBR,2002,13.200426\nUnited Kingdom,GBR,2003,13.555636\nUnited Kingdom,GBR,2004,13.102599\nUnited Kingdom,GBR,2005,12.297018\nUnited Kingdom,GBR,2006,11.746963\nUnited Kingdom,GBR,2007,11.135342\nUnited Kingdom,GBR,2008,11.091007\nUnited Kingdom,GBR,2009,10.563662\nUnited Kingdom,GBR,2010,10.215335\nUnited Kingdom,GBR,2011,9.673907\nUnited Kingdom,GBR,2012,8.926204\nUnited Kingdom,GBR,2013,8.708592\nUnited Kingdom,GBR,2014,8.981877\nUnited Kingdom,GBR,2015,9.151726\nUnited Kingdom,GBR,2016,9.4143\nUnited Kingdom,GBR,2017,9.146049\nUnited Kingdom,GBR,2018,9.360103\nUnited Kingdom,GBR,2019,9.085221\nUnited Kingdom,GBR,2020,13.53946\nUnited Kingdom,GBR,2021,12.919217\nUnited Kingdom,GBR,2022,15.172737\nUnited Kingdom,GBR,2023,8.305989\n```\n\nIn which year shown does maternal mortality ratio (per 100 000 live births) reach its highest value for United Kingdom?","response":"The series peaks in 2022, at 15.17 Deaths per 100 000 live births. The lowest point shown is 2023, at 8.31 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nUnited Kingdom,GBR,2000,12.038319\nUnited Kingdom,GBR,2001,12.53768\nUnited Kingdom,GBR,2002,13.200426\nUnited Kingdom,GBR,2003,13.555636\nUnited Kingdom,GBR,2004,13.102599\nUnited Kingdom,GBR,2005,12.297018\nUnited Kingdom,GBR,2006,11.746963\nUnited Kingdom,GBR,2007,11.135342\nUnited Kingdom,GBR,2008,11.091007\nUnited Kingdom,GBR,2009,10.563662\nUnited Kingdom,GBR,2010,10.215335\nUnited Kingdom,GBR,2011,9.673907\nUnited Kingdom,GBR,2012,8.926204\nUnited Kingdom,GBR,2013,8.708592\nUnited Kingdom,GBR,2014,8.981877\nUnited Kingdom,GBR,2015,9.151726\nUnited Kingdom,GBR,2016,9.4143\nUnited Kingdom,GBR,2017,9.146049\nUnited Kingdom,GBR,2018,9.360103\nUnited Kingdom,GBR,2019,9.085221\nUnited Kingdom,GBR,2020,13.53946\nUnited Kingdom,GBR,2021,12.919217\nUnited Kingdom,GBR,2022,15.172737\nUnited Kingdom,GBR,2023,8.305989\n```\n\nHow much did maternal mortality ratio (per 100 000 live births) change for United Kingdom between 2000 and 2023?","response":"It moved from 12.04 Deaths per 100 000 live births in 2000 to 8.31 Deaths per 100 000 live births in 2023, a change of -3.73 Deaths per 100 000 live births (-31.00%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nUnited Kingdom,GBR,2000,12.038319\nUnited Kingdom,GBR,2001,12.53768\nUnited Kingdom,GBR,2002,13.200426\nUnited Kingdom,GBR,2003,13.555636\nUnited Kingdom,GBR,2004,13.102599\nUnited Kingdom,GBR,2005,12.297018\nUnited Kingdom,GBR,2006,11.746963\nUnited Kingdom,GBR,2007,11.135342\nUnited Kingdom,GBR,2008,11.091007\nUnited Kingdom,GBR,2009,10.563662\nUnited Kingdom,GBR,2010,10.215335\nUnited Kingdom,GBR,2011,9.673907\nUnited Kingdom,GBR,2012,8.926204\nUnited Kingdom,GBR,2013,8.708592\nUnited Kingdom,GBR,2014,8.981877\nUnited Kingdom,GBR,2015,9.151726\nUnited Kingdom,GBR,2016,9.4143\nUnited Kingdom,GBR,2017,9.146049\nUnited Kingdom,GBR,2018,9.360103\nUnited Kingdom,GBR,2019,9.085221\nUnited Kingdom,GBR,2020,13.53946\nUnited Kingdom,GBR,2021,12.919217\nUnited Kingdom,GBR,2022,15.172737\nUnited Kingdom,GBR,2023,8.305989\n```\n\nWas maternal mortality ratio (per 100 000 live births) in United Kingdom higher in 2011 or 2012?","response":"Higher in 2011. The chart gives 9.67 Deaths per 100 000 live births for 2011 and 8.93 Deaths per 100 000 live births for 2012, a difference of 0.75 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nUnited Kingdom,GBR,2000,12.038319\nUnited Kingdom,GBR,2001,12.53768\nUnited Kingdom,GBR,2002,13.200426\nUnited Kingdom,GBR,2003,13.555636\nUnited Kingdom,GBR,2004,13.102599\nUnited Kingdom,GBR,2005,12.297018\nUnited Kingdom,GBR,2006,11.746963\nUnited Kingdom,GBR,2007,11.135342\nUnited Kingdom,GBR,2008,11.091007\nUnited Kingdom,GBR,2009,10.563662\nUnited Kingdom,GBR,2010,10.215335\nUnited Kingdom,GBR,2011,9.673907\nUnited Kingdom,GBR,2012,8.926204\nUnited Kingdom,GBR,2013,8.708592\nUnited Kingdom,GBR,2014,8.981877\nUnited Kingdom,GBR,2015,9.151726\nUnited Kingdom,GBR,2016,9.4143\nUnited Kingdom,GBR,2017,9.146049\nUnited Kingdom,GBR,2018,9.360103\nUnited Kingdom,GBR,2019,9.085221\nUnited Kingdom,GBR,2020,13.53946\nUnited Kingdom,GBR,2021,12.919217\nUnited Kingdom,GBR,2022,15.172737\nUnited Kingdom,GBR,2023,8.305989\n```\n\nAccording to this chart, what was maternal mortality ratio (per 100 000 live births) in United Kingdom in 2012?","response":"Reading the plotted point for 2012, maternal mortality ratio (per 100 000 live births) in United Kingdom was 8.93 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nUnited Kingdom,GBR,2000,12.038319\nUnited Kingdom,GBR,2001,12.53768\nUnited Kingdom,GBR,2002,13.200426\nUnited Kingdom,GBR,2003,13.555636\nUnited Kingdom,GBR,2004,13.102599\nUnited Kingdom,GBR,2005,12.297018\nUnited Kingdom,GBR,2006,11.746963\nUnited Kingdom,GBR,2007,11.135342\nUnited Kingdom,GBR,2008,11.091007\nUnited Kingdom,GBR,2009,10.563662\nUnited Kingdom,GBR,2010,10.215335\nUnited Kingdom,GBR,2011,9.673907\nUnited Kingdom,GBR,2012,8.926204\nUnited Kingdom,GBR,2013,8.708592\nUnited Kingdom,GBR,2014,8.981877\nUnited Kingdom,GBR,2015,9.151726\nUnited Kingdom,GBR,2016,9.4143\nUnited Kingdom,GBR,2017,9.146049\nUnited Kingdom,GBR,2018,9.360103\nUnited Kingdom,GBR,2019,9.085221\nUnited Kingdom,GBR,2020,13.53946\nUnited Kingdom,GBR,2021,12.919217\nUnited Kingdom,GBR,2022,15.172737\nUnited Kingdom,GBR,2023,8.305989\n```\n\nIn which year shown does maternal mortality ratio (per 100 000 live births) reach its highest value for United Kingdom?","response":"The series peaks in 2022, at 15.17 Deaths per 100 000 live births. The lowest point shown is 2023, at 8.31 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nUnited Kingdom,GBR,2000,12.038319\nUnited Kingdom,GBR,2001,12.53768\nUnited Kingdom,GBR,2002,13.200426\nUnited Kingdom,GBR,2003,13.555636\nUnited Kingdom,GBR,2004,13.102599\nUnited Kingdom,GBR,2005,12.297018\nUnited Kingdom,GBR,2006,11.746963\nUnited Kingdom,GBR,2007,11.135342\nUnited Kingdom,GBR,2008,11.091007\nUnited Kingdom,GBR,2009,10.563662\nUnited Kingdom,GBR,2010,10.215335\nUnited Kingdom,GBR,2011,9.673907\nUnited Kingdom,GBR,2012,8.926204\nUnited Kingdom,GBR,2013,8.708592\nUnited Kingdom,GBR,2014,8.981877\nUnited Kingdom,GBR,2015,9.151726\nUnited Kingdom,GBR,2016,9.4143\nUnited Kingdom,GBR,2017,9.146049\nUnited Kingdom,GBR,2018,9.360103\nUnited Kingdom,GBR,2019,9.085221\nUnited Kingdom,GBR,2020,13.53946\nUnited Kingdom,GBR,2021,12.919217\nUnited Kingdom,GBR,2022,15.172737\nUnited Kingdom,GBR,2023,8.305989\n```\n\nHow much did maternal mortality ratio (per 100 000 live births) change for United Kingdom between 2000 and 2023?","response":"It moved from 12.04 Deaths per 100 000 live births in 2000 to 8.31 Deaths per 100 000 live births in 2023, a change of -3.73 Deaths per 100 000 live births (-31.00%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nUnited Kingdom,GBR,2000,12.038319\nUnited Kingdom,GBR,2001,12.53768\nUnited Kingdom,GBR,2002,13.200426\nUnited Kingdom,GBR,2003,13.555636\nUnited Kingdom,GBR,2004,13.102599\nUnited Kingdom,GBR,2005,12.297018\nUnited Kingdom,GBR,2006,11.746963\nUnited Kingdom,GBR,2007,11.135342\nUnited Kingdom,GBR,2008,11.091007\nUnited Kingdom,GBR,2009,10.563662\nUnited Kingdom,GBR,2010,10.215335\nUnited Kingdom,GBR,2011,9.673907\nUnited Kingdom,GBR,2012,8.926204\nUnited Kingdom,GBR,2013,8.708592\nUnited Kingdom,GBR,2014,8.981877\nUnited Kingdom,GBR,2015,9.151726\nUnited Kingdom,GBR,2016,9.4143\nUnited Kingdom,GBR,2017,9.146049\nUnited Kingdom,GBR,2018,9.360103\nUnited Kingdom,GBR,2019,9.085221\nUnited Kingdom,GBR,2020,13.53946\nUnited Kingdom,GBR,2021,12.919217\nUnited Kingdom,GBR,2022,15.172737\nUnited Kingdom,GBR,2023,8.305989\n```\n\nWas maternal mortality ratio (per 100 000 live births) in United Kingdom higher in 2011 or 2012?","response":"Higher in 2011. The chart gives 9.67 Deaths per 100 000 live births for 2011 and 8.93 Deaths per 100 000 live births for 2012, a difference of 0.75 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nUnited Kingdom,GBR,2000,12.038319\nUnited Kingdom,GBR,2001,12.53768\nUnited Kingdom,GBR,2002,13.200426\nUnited Kingdom,GBR,2003,13.555636\nUnited Kingdom,GBR,2004,13.102599\nUnited Kingdom,GBR,2005,12.297018\nUnited Kingdom,GBR,2006,11.746963\nUnited Kingdom,GBR,2007,11.135342\nUnited Kingdom,GBR,2008,11.091007\nUnited Kingdom,GBR,2009,10.563662\nUnited Kingdom,GBR,2010,10.215335\nUnited Kingdom,GBR,2011,9.673907\nUnited Kingdom,GBR,2012,8.926204\nUnited Kingdom,GBR,2013,8.708592\nUnited Kingdom,GBR,2014,8.981877\nUnited Kingdom,GBR,2015,9.151726\nUnited Kingdom,GBR,2016,9.4143\nUnited Kingdom,GBR,2017,9.146049\nUnited Kingdom,GBR,2018,9.360103\nUnited Kingdom,GBR,2019,9.085221\nUnited Kingdom,GBR,2020,13.53946\nUnited Kingdom,GBR,2021,12.919217\nUnited Kingdom,GBR,2022,15.172737\nUnited Kingdom,GBR,2023,8.305989\n```\n\nBased on this chart, is maternal mortality ratio (per 100 000 live births) in United Kingdom rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 12.04 Deaths per 100 000 live births to 8.31 Deaths per 100 000 live births, a change of -31.00%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nUnited Kingdom,GBR,2000,12.038319\nUnited Kingdom,GBR,2001,12.53768\nUnited Kingdom,GBR,2002,13.200426\nUnited Kingdom,GBR,2003,13.555636\nUnited Kingdom,GBR,2004,13.102599\nUnited Kingdom,GBR,2005,12.297018\nUnited Kingdom,GBR,2006,11.746963\nUnited Kingdom,GBR,2007,11.135342\nUnited Kingdom,GBR,2008,11.091007\nUnited Kingdom,GBR,2009,10.563662\nUnited Kingdom,GBR,2010,10.215335\nUnited Kingdom,GBR,2011,9.673907\nUnited Kingdom,GBR,2012,8.926204\nUnited Kingdom,GBR,2013,8.708592\nUnited Kingdom,GBR,2014,8.981877\nUnited Kingdom,GBR,2015,9.151726\nUnited Kingdom,GBR,2016,9.4143\nUnited Kingdom,GBR,2017,9.146049\nUnited Kingdom,GBR,2018,9.360103\nUnited Kingdom,GBR,2019,9.085221\nUnited Kingdom,GBR,2020,13.53946\nUnited Kingdom,GBR,2021,12.919217\nUnited Kingdom,GBR,2022,15.172737\nUnited Kingdom,GBR,2023,8.305989\n```\n\nThis chart makes the change in maternal mortality ratio (per 100 000 live births) for United Kingdom look dramatic. Is it?","response":"The values change by -31.00%, from 12.04 Deaths per 100 000 live births to 8.31 Deaths per 100 000 live births. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nUnited Kingdom,GBR,2014,8.981877\nUnited Kingdom,GBR,2015,9.151726\nUnited Kingdom,GBR,2016,9.4143\nUnited Kingdom,GBR,2017,9.146049\nUnited Kingdom,GBR,2018,9.360103\nUnited Kingdom,GBR,2019,9.085221\nUnited Kingdom,GBR,2020,13.53946\nUnited Kingdom,GBR,2021,12.919217\nUnited Kingdom,GBR,2022,15.172737\n```\n\nWhat does this chart suggest about the long-run direction of maternal mortality ratio (per 100 000 live births) in United Kingdom?","response":"Within the window shown (2014-2022) the series moves +68.93%, but that window runs against the longer record. Across the full series (2000-2023) the change is -31.00%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nUnited Kingdom,GBR,2000,12.038319\nUnited Kingdom,GBR,2001,12.53768\nUnited Kingdom,GBR,2002,13.200426\nUnited Kingdom,GBR,2003,13.555636\nUnited Kingdom,GBR,2004,13.102599\nUnited Kingdom,GBR,2005,12.297018\nUnited Kingdom,GBR,2006,11.746963\nUnited Kingdom,GBR,2007,11.135342\nUnited Kingdom,GBR,2008,11.091007\nUnited Kingdom,GBR,2009,10.563662\nUnited Kingdom,GBR,2010,10.215335\nUnited Kingdom,GBR,2011,9.673907\nUnited Kingdom,GBR,2012,8.926204\nUnited Kingdom,GBR,2013,8.708592\nUnited Kingdom,GBR,2014,8.981877\nUnited Kingdom,GBR,2015,9.151726\nUnited Kingdom,GBR,2016,9.4143\nUnited Kingdom,GBR,2017,9.146049\nUnited Kingdom,GBR,2018,9.360103\nUnited Kingdom,GBR,2019,9.085221\nUnited Kingdom,GBR,2020,13.53946\nUnited Kingdom,GBR,2021,12.919217\nUnited Kingdom,GBR,2022,15.172737\nUnited Kingdom,GBR,2023,8.305989\n```\n\nHow does United Kingdom compare with Viet Nam on this measure?","response":"This chart covers United Kingdom only, so Viet Nam is not plotted and I cannot compare them from it. The chart does support statements about United Kingdom on its own: the series runs from 12.04 Deaths per 100 000 live births in 2000 to 8.31 Deaths per 100 000 live births in 2023.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__United-Kingdom__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nGhana,GHA,2000,472.49808\nGhana,GHA,2001,459.95847\nGhana,GHA,2002,434.24893\nGhana,GHA,2003,409.55237\nGhana,GHA,2004,402.64764\nGhana,GHA,2005,389.52295\nGhana,GHA,2006,384.5182\nGhana,GHA,2007,377.21344\nGhana,GHA,2008,380.10492\nGhana,GHA,2009,369.00427\nGhana,GHA,2010,363.05173\nGhana,GHA,2011,356.37323\nGhana,GHA,2012,350.70255\nGhana,GHA,2013,338.42386\nGhana,GHA,2014,316.81168\nGhana,GHA,2015,310.3363\nGhana,GHA,2016,296.1044\nGhana,GHA,2017,286.91916\nGhana,GHA,2018,275.56128\nGhana,GHA,2019,259.7349\nGhana,GHA,2020,252.78436\nGhana,GHA,2021,263.93936\nGhana,GHA,2022,239.08388\nGhana,GHA,2023,234.32323\n```\n\nAccording to this chart, what was maternal mortality ratio (per 100 000 live births) in Ghana in 2016?","response":"Reading the plotted point for 2016, maternal mortality ratio (per 100 000 live births) in Ghana was 296.1 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nGhana,GHA,2000,472.49808\nGhana,GHA,2001,459.95847\nGhana,GHA,2002,434.24893\nGhana,GHA,2003,409.55237\nGhana,GHA,2004,402.64764\nGhana,GHA,2005,389.52295\nGhana,GHA,2006,384.5182\nGhana,GHA,2007,377.21344\nGhana,GHA,2008,380.10492\nGhana,GHA,2009,369.00427\nGhana,GHA,2010,363.05173\nGhana,GHA,2011,356.37323\nGhana,GHA,2012,350.70255\nGhana,GHA,2013,338.42386\nGhana,GHA,2014,316.81168\nGhana,GHA,2015,310.3363\nGhana,GHA,2016,296.1044\nGhana,GHA,2017,286.91916\nGhana,GHA,2018,275.56128\nGhana,GHA,2019,259.7349\nGhana,GHA,2020,252.78436\nGhana,GHA,2021,263.93936\nGhana,GHA,2022,239.08388\nGhana,GHA,2023,234.32323\n```\n\nIn which year shown does maternal mortality ratio (per 100 000 live births) reach its highest value for Ghana?","response":"The series peaks in 2000, at 472.5 Deaths per 100 000 live births. The lowest point shown is 2023, at 234.32 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nGhana,GHA,2000,472.49808\nGhana,GHA,2001,459.95847\nGhana,GHA,2002,434.24893\nGhana,GHA,2003,409.55237\nGhana,GHA,2004,402.64764\nGhana,GHA,2005,389.52295\nGhana,GHA,2006,384.5182\nGhana,GHA,2007,377.21344\nGhana,GHA,2008,380.10492\nGhana,GHA,2009,369.00427\nGhana,GHA,2010,363.05173\nGhana,GHA,2011,356.37323\nGhana,GHA,2012,350.70255\nGhana,GHA,2013,338.42386\nGhana,GHA,2014,316.81168\nGhana,GHA,2015,310.3363\nGhana,GHA,2016,296.1044\nGhana,GHA,2017,286.91916\nGhana,GHA,2018,275.56128\nGhana,GHA,2019,259.7349\nGhana,GHA,2020,252.78436\nGhana,GHA,2021,263.93936\nGhana,GHA,2022,239.08388\nGhana,GHA,2023,234.32323\n```\n\nHow much did maternal mortality ratio (per 100 000 live births) change for Ghana between 2000 and 2023?","response":"It moved from 472.5 Deaths per 100 000 live births in 2000 to 234.32 Deaths per 100 000 live births in 2023, a change of -238.17 Deaths per 100 000 live births (-50.41%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nGhana,GHA,2000,472.49808\nGhana,GHA,2001,459.95847\nGhana,GHA,2002,434.24893\nGhana,GHA,2003,409.55237\nGhana,GHA,2004,402.64764\nGhana,GHA,2005,389.52295\nGhana,GHA,2006,384.5182\nGhana,GHA,2007,377.21344\nGhana,GHA,2008,380.10492\nGhana,GHA,2009,369.00427\nGhana,GHA,2010,363.05173\nGhana,GHA,2011,356.37323\nGhana,GHA,2012,350.70255\nGhana,GHA,2013,338.42386\nGhana,GHA,2014,316.81168\nGhana,GHA,2015,310.3363\nGhana,GHA,2016,296.1044\nGhana,GHA,2017,286.91916\nGhana,GHA,2018,275.56128\nGhana,GHA,2019,259.7349\nGhana,GHA,2020,252.78436\nGhana,GHA,2021,263.93936\nGhana,GHA,2022,239.08388\nGhana,GHA,2023,234.32323\n```\n\nWas maternal mortality ratio (per 100 000 live births) in Ghana higher in 2007 or 2014?","response":"Higher in 2007. The chart gives 377.21 Deaths per 100 000 live births for 2007 and 316.81 Deaths per 100 000 live births for 2014, a difference of 60.4 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nGhana,GHA,2000,472.49808\nGhana,GHA,2001,459.95847\nGhana,GHA,2002,434.24893\nGhana,GHA,2003,409.55237\nGhana,GHA,2004,402.64764\nGhana,GHA,2005,389.52295\nGhana,GHA,2006,384.5182\nGhana,GHA,2007,377.21344\nGhana,GHA,2008,380.10492\nGhana,GHA,2009,369.00427\nGhana,GHA,2010,363.05173\nGhana,GHA,2011,356.37323\nGhana,GHA,2012,350.70255\nGhana,GHA,2013,338.42386\nGhana,GHA,2014,316.81168\nGhana,GHA,2015,310.3363\nGhana,GHA,2016,296.1044\nGhana,GHA,2017,286.91916\nGhana,GHA,2018,275.56128\nGhana,GHA,2019,259.7349\nGhana,GHA,2020,252.78436\nGhana,GHA,2021,263.93936\nGhana,GHA,2022,239.08388\nGhana,GHA,2023,234.32323\n```\n\nAccording to this chart, what was maternal mortality ratio (per 100 000 live births) in Ghana in 2016?","response":"Reading the plotted point for 2016, maternal mortality ratio (per 100 000 live births) in Ghana was 296.1 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nGhana,GHA,2000,472.49808\nGhana,GHA,2001,459.95847\nGhana,GHA,2002,434.24893\nGhana,GHA,2003,409.55237\nGhana,GHA,2004,402.64764\nGhana,GHA,2005,389.52295\nGhana,GHA,2006,384.5182\nGhana,GHA,2007,377.21344\nGhana,GHA,2008,380.10492\nGhana,GHA,2009,369.00427\nGhana,GHA,2010,363.05173\nGhana,GHA,2011,356.37323\nGhana,GHA,2012,350.70255\nGhana,GHA,2013,338.42386\nGhana,GHA,2014,316.81168\nGhana,GHA,2015,310.3363\nGhana,GHA,2016,296.1044\nGhana,GHA,2017,286.91916\nGhana,GHA,2018,275.56128\nGhana,GHA,2019,259.7349\nGhana,GHA,2020,252.78436\nGhana,GHA,2021,263.93936\nGhana,GHA,2022,239.08388\nGhana,GHA,2023,234.32323\n```\n\nIn which year shown does maternal mortality ratio (per 100 000 live births) reach its highest value for Ghana?","response":"The series peaks in 2000, at 472.5 Deaths per 100 000 live births. The lowest point shown is 2023, at 234.32 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nGhana,GHA,2000,472.49808\nGhana,GHA,2001,459.95847\nGhana,GHA,2002,434.24893\nGhana,GHA,2003,409.55237\nGhana,GHA,2004,402.64764\nGhana,GHA,2005,389.52295\nGhana,GHA,2006,384.5182\nGhana,GHA,2007,377.21344\nGhana,GHA,2008,380.10492\nGhana,GHA,2009,369.00427\nGhana,GHA,2010,363.05173\nGhana,GHA,2011,356.37323\nGhana,GHA,2012,350.70255\nGhana,GHA,2013,338.42386\nGhana,GHA,2014,316.81168\nGhana,GHA,2015,310.3363\nGhana,GHA,2016,296.1044\nGhana,GHA,2017,286.91916\nGhana,GHA,2018,275.56128\nGhana,GHA,2019,259.7349\nGhana,GHA,2020,252.78436\nGhana,GHA,2021,263.93936\nGhana,GHA,2022,239.08388\nGhana,GHA,2023,234.32323\n```\n\nHow much did maternal mortality ratio (per 100 000 live births) change for Ghana between 2000 and 2023?","response":"It moved from 472.5 Deaths per 100 000 live births in 2000 to 234.32 Deaths per 100 000 live births in 2023, a change of -238.17 Deaths per 100 000 live births (-50.41%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nGhana,GHA,2000,472.49808\nGhana,GHA,2001,459.95847\nGhana,GHA,2002,434.24893\nGhana,GHA,2003,409.55237\nGhana,GHA,2004,402.64764\nGhana,GHA,2005,389.52295\nGhana,GHA,2006,384.5182\nGhana,GHA,2007,377.21344\nGhana,GHA,2008,380.10492\nGhana,GHA,2009,369.00427\nGhana,GHA,2010,363.05173\nGhana,GHA,2011,356.37323\nGhana,GHA,2012,350.70255\nGhana,GHA,2013,338.42386\nGhana,GHA,2014,316.81168\nGhana,GHA,2015,310.3363\nGhana,GHA,2016,296.1044\nGhana,GHA,2017,286.91916\nGhana,GHA,2018,275.56128\nGhana,GHA,2019,259.7349\nGhana,GHA,2020,252.78436\nGhana,GHA,2021,263.93936\nGhana,GHA,2022,239.08388\nGhana,GHA,2023,234.32323\n```\n\nWas maternal mortality ratio (per 100 000 live births) in Ghana higher in 2007 or 2014?","response":"Higher in 2007. The chart gives 377.21 Deaths per 100 000 live births for 2007 and 316.81 Deaths per 100 000 live births for 2014, a difference of 60.4 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nGhana,GHA,2000,472.49808\nGhana,GHA,2001,459.95847\nGhana,GHA,2002,434.24893\nGhana,GHA,2003,409.55237\nGhana,GHA,2004,402.64764\nGhana,GHA,2005,389.52295\nGhana,GHA,2006,384.5182\nGhana,GHA,2007,377.21344\nGhana,GHA,2008,380.10492\nGhana,GHA,2009,369.00427\nGhana,GHA,2010,363.05173\nGhana,GHA,2011,356.37323\nGhana,GHA,2012,350.70255\nGhana,GHA,2013,338.42386\nGhana,GHA,2014,316.81168\nGhana,GHA,2015,310.3363\nGhana,GHA,2016,296.1044\nGhana,GHA,2017,286.91916\nGhana,GHA,2018,275.56128\nGhana,GHA,2019,259.7349\nGhana,GHA,2020,252.78436\nGhana,GHA,2021,263.93936\nGhana,GHA,2022,239.08388\nGhana,GHA,2023,234.32323\n```\n\nThis chart makes the change in maternal mortality ratio (per 100 000 live births) for Ghana look dramatic. Is it?","response":"The values change by -50.41%, from 472.5 Deaths per 100 000 live births to 234.32 Deaths per 100 000 live births. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nGhana,GHA,2000,472.49808\nGhana,GHA,2001,459.95847\nGhana,GHA,2002,434.24893\nGhana,GHA,2003,409.55237\nGhana,GHA,2004,402.64764\nGhana,GHA,2005,389.52295\nGhana,GHA,2006,384.5182\nGhana,GHA,2007,377.21344\nGhana,GHA,2008,380.10492\nGhana,GHA,2009,369.00427\nGhana,GHA,2010,363.05173\nGhana,GHA,2011,356.37323\nGhana,GHA,2012,350.70255\nGhana,GHA,2013,338.42386\nGhana,GHA,2014,316.81168\nGhana,GHA,2015,310.3363\nGhana,GHA,2016,296.1044\nGhana,GHA,2017,286.91916\nGhana,GHA,2018,275.56128\nGhana,GHA,2019,259.7349\nGhana,GHA,2020,252.78436\nGhana,GHA,2021,263.93936\nGhana,GHA,2022,239.08388\nGhana,GHA,2023,234.32323\n```\n\nThis chart appears to show maternal mortality ratio (per 100 000 live births) in Ghana rising steeply. How large is the increase actually?","response":"The plotted values run from 472.5 Deaths per 100 000 live births to 234.32 Deaths per 100 000 live births, so the actual change is -50.41%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 229.5597 instead of zero, which magnifies the visual change by roughly 2.06x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nGhana,GHA,2000,472.49808\nGhana,GHA,2001,459.95847\nGhana,GHA,2002,434.24893\nGhana,GHA,2003,409.55237\nGhana,GHA,2004,402.64764\nGhana,GHA,2005,389.52295\nGhana,GHA,2006,384.5182\nGhana,GHA,2007,377.21344\nGhana,GHA,2008,380.10492\nGhana,GHA,2009,369.00427\nGhana,GHA,2010,363.05173\nGhana,GHA,2011,356.37323\nGhana,GHA,2012,350.70255\nGhana,GHA,2013,338.42386\nGhana,GHA,2014,316.81168\nGhana,GHA,2015,310.3363\nGhana,GHA,2016,296.1044\nGhana,GHA,2017,286.91916\nGhana,GHA,2018,275.56128\nGhana,GHA,2019,259.7349\nGhana,GHA,2020,252.78436\nGhana,GHA,2021,263.93936\nGhana,GHA,2022,239.08388\nGhana,GHA,2023,234.32323\n```\n\nWhat was maternal mortality ratio (per 100 000 live births) for Ghana in 1985?","response":"That year is outside this chart. The series runs 2000 to 2023, and 1985 falls before it begins, so there is no value to read. The earliest point available is 2000, at 472.5 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Ghana__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nPortugal,PRT,2000,9.415924\nPortugal,PRT,2001,9.197031\nPortugal,PRT,2002,8.738869\nPortugal,PRT,2003,8.46033\nPortugal,PRT,2004,8.036961\nPortugal,PRT,2005,8.301733\nPortugal,PRT,2006,7.9236083\nPortugal,PRT,2007,8.47036\nPortugal,PRT,2008,8.830553\nPortugal,PRT,2009,9.420631\nPortugal,PRT,2010,10.005609\nPortugal,PRT,2011,9.530029\nPortugal,PRT,2012,9.991895\nPortugal,PRT,2013,10.251463\nPortugal,PRT,2014,10.757067\nPortugal,PRT,2015,11.010347\nPortugal,PRT,2016,12.155133\nPortugal,PRT,2017,13.472885\nPortugal,PRT,2018,14.001616\nPortugal,PRT,2019,14.65165\nPortugal,PRT,2020,13.632531\nPortugal,PRT,2021,18.769447\nPortugal,PRT,2022,16.19468\nPortugal,PRT,2023,14.945193\n```\n\nAccording to this chart, what was maternal mortality ratio (per 100 000 live births) in Portugal in 2022?","response":"Reading the plotted point for 2022, maternal mortality ratio (per 100 000 live births) in Portugal was 16.19 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nPortugal,PRT,2000,9.415924\nPortugal,PRT,2001,9.197031\nPortugal,PRT,2002,8.738869\nPortugal,PRT,2003,8.46033\nPortugal,PRT,2004,8.036961\nPortugal,PRT,2005,8.301733\nPortugal,PRT,2006,7.9236083\nPortugal,PRT,2007,8.47036\nPortugal,PRT,2008,8.830553\nPortugal,PRT,2009,9.420631\nPortugal,PRT,2010,10.005609\nPortugal,PRT,2011,9.530029\nPortugal,PRT,2012,9.991895\nPortugal,PRT,2013,10.251463\nPortugal,PRT,2014,10.757067\nPortugal,PRT,2015,11.010347\nPortugal,PRT,2016,12.155133\nPortugal,PRT,2017,13.472885\nPortugal,PRT,2018,14.001616\nPortugal,PRT,2019,14.65165\nPortugal,PRT,2020,13.632531\nPortugal,PRT,2021,18.769447\nPortugal,PRT,2022,16.19468\nPortugal,PRT,2023,14.945193\n```\n\nIn which year shown does maternal mortality ratio (per 100 000 live births) reach its highest value for Portugal?","response":"The series peaks in 2021, at 18.77 Deaths per 100 000 live births. The lowest point shown is 2006, at 7.92 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nPortugal,PRT,2000,9.415924\nPortugal,PRT,2001,9.197031\nPortugal,PRT,2002,8.738869\nPortugal,PRT,2003,8.46033\nPortugal,PRT,2004,8.036961\nPortugal,PRT,2005,8.301733\nPortugal,PRT,2006,7.9236083\nPortugal,PRT,2007,8.47036\nPortugal,PRT,2008,8.830553\nPortugal,PRT,2009,9.420631\nPortugal,PRT,2010,10.005609\nPortugal,PRT,2011,9.530029\nPortugal,PRT,2012,9.991895\nPortugal,PRT,2013,10.251463\nPortugal,PRT,2014,10.757067\nPortugal,PRT,2015,11.010347\nPortugal,PRT,2016,12.155133\nPortugal,PRT,2017,13.472885\nPortugal,PRT,2018,14.001616\nPortugal,PRT,2019,14.65165\nPortugal,PRT,2020,13.632531\nPortugal,PRT,2021,18.769447\nPortugal,PRT,2022,16.19468\nPortugal,PRT,2023,14.945193\n```\n\nHow much did maternal mortality ratio (per 100 000 live births) change for Portugal between 2000 and 2023?","response":"It moved from 9.42 Deaths per 100 000 live births in 2000 to 14.95 Deaths per 100 000 live births in 2023, a change of 5.53 Deaths per 100 000 live births (+58.72%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nPortugal,PRT,2000,9.415924\nPortugal,PRT,2001,9.197031\nPortugal,PRT,2002,8.738869\nPortugal,PRT,2003,8.46033\nPortugal,PRT,2004,8.036961\nPortugal,PRT,2005,8.301733\nPortugal,PRT,2006,7.9236083\nPortugal,PRT,2007,8.47036\nPortugal,PRT,2008,8.830553\nPortugal,PRT,2009,9.420631\nPortugal,PRT,2010,10.005609\nPortugal,PRT,2011,9.530029\nPortugal,PRT,2012,9.991895\nPortugal,PRT,2013,10.251463\nPortugal,PRT,2014,10.757067\nPortugal,PRT,2015,11.010347\nPortugal,PRT,2016,12.155133\nPortugal,PRT,2017,13.472885\nPortugal,PRT,2018,14.001616\nPortugal,PRT,2019,14.65165\nPortugal,PRT,2020,13.632531\nPortugal,PRT,2021,18.769447\nPortugal,PRT,2022,16.19468\nPortugal,PRT,2023,14.945193\n```\n\nWas maternal mortality ratio (per 100 000 live births) in Portugal higher in 2001 or 2018?","response":"Higher in 2018. The chart gives 9.2 Deaths per 100 000 live births for 2001 and 14 Deaths per 100 000 live births for 2018, a difference of 4.8 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nPortugal,PRT,2000,9.415924\nPortugal,PRT,2001,9.197031\nPortugal,PRT,2002,8.738869\nPortugal,PRT,2003,8.46033\nPortugal,PRT,2004,8.036961\nPortugal,PRT,2005,8.301733\nPortugal,PRT,2006,7.9236083\nPortugal,PRT,2007,8.47036\nPortugal,PRT,2008,8.830553\nPortugal,PRT,2009,9.420631\nPortugal,PRT,2010,10.005609\nPortugal,PRT,2011,9.530029\nPortugal,PRT,2012,9.991895\nPortugal,PRT,2013,10.251463\nPortugal,PRT,2014,10.757067\nPortugal,PRT,2015,11.010347\nPortugal,PRT,2016,12.155133\nPortugal,PRT,2017,13.472885\nPortugal,PRT,2018,14.001616\nPortugal,PRT,2019,14.65165\nPortugal,PRT,2020,13.632531\nPortugal,PRT,2021,18.769447\nPortugal,PRT,2022,16.19468\nPortugal,PRT,2023,14.945193\n```\n\nAccording to this chart, what was maternal mortality ratio (per 100 000 live births) in Portugal in 2022?","response":"Reading the plotted point for 2022, maternal mortality ratio (per 100 000 live births) in Portugal was 16.19 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nPortugal,PRT,2000,9.415924\nPortugal,PRT,2001,9.197031\nPortugal,PRT,2002,8.738869\nPortugal,PRT,2003,8.46033\nPortugal,PRT,2004,8.036961\nPortugal,PRT,2005,8.301733\nPortugal,PRT,2006,7.9236083\nPortugal,PRT,2007,8.47036\nPortugal,PRT,2008,8.830553\nPortugal,PRT,2009,9.420631\nPortugal,PRT,2010,10.005609\nPortugal,PRT,2011,9.530029\nPortugal,PRT,2012,9.991895\nPortugal,PRT,2013,10.251463\nPortugal,PRT,2014,10.757067\nPortugal,PRT,2015,11.010347\nPortugal,PRT,2016,12.155133\nPortugal,PRT,2017,13.472885\nPortugal,PRT,2018,14.001616\nPortugal,PRT,2019,14.65165\nPortugal,PRT,2020,13.632531\nPortugal,PRT,2021,18.769447\nPortugal,PRT,2022,16.19468\nPortugal,PRT,2023,14.945193\n```\n\nIn which year shown does maternal mortality ratio (per 100 000 live births) reach its highest value for Portugal?","response":"The series peaks in 2021, at 18.77 Deaths per 100 000 live births. The lowest point shown is 2006, at 7.92 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nPortugal,PRT,2000,9.415924\nPortugal,PRT,2001,9.197031\nPortugal,PRT,2002,8.738869\nPortugal,PRT,2003,8.46033\nPortugal,PRT,2004,8.036961\nPortugal,PRT,2005,8.301733\nPortugal,PRT,2006,7.9236083\nPortugal,PRT,2007,8.47036\nPortugal,PRT,2008,8.830553\nPortugal,PRT,2009,9.420631\nPortugal,PRT,2010,10.005609\nPortugal,PRT,2011,9.530029\nPortugal,PRT,2012,9.991895\nPortugal,PRT,2013,10.251463\nPortugal,PRT,2014,10.757067\nPortugal,PRT,2015,11.010347\nPortugal,PRT,2016,12.155133\nPortugal,PRT,2017,13.472885\nPortugal,PRT,2018,14.001616\nPortugal,PRT,2019,14.65165\nPortugal,PRT,2020,13.632531\nPortugal,PRT,2021,18.769447\nPortugal,PRT,2022,16.19468\nPortugal,PRT,2023,14.945193\n```\n\nHow much did maternal mortality ratio (per 100 000 live births) change for Portugal between 2000 and 2023?","response":"It moved from 9.42 Deaths per 100 000 live births in 2000 to 14.95 Deaths per 100 000 live births in 2023, a change of 5.53 Deaths per 100 000 live births (+58.72%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nPortugal,PRT,2000,9.415924\nPortugal,PRT,2001,9.197031\nPortugal,PRT,2002,8.738869\nPortugal,PRT,2003,8.46033\nPortugal,PRT,2004,8.036961\nPortugal,PRT,2005,8.301733\nPortugal,PRT,2006,7.9236083\nPortugal,PRT,2007,8.47036\nPortugal,PRT,2008,8.830553\nPortugal,PRT,2009,9.420631\nPortugal,PRT,2010,10.005609\nPortugal,PRT,2011,9.530029\nPortugal,PRT,2012,9.991895\nPortugal,PRT,2013,10.251463\nPortugal,PRT,2014,10.757067\nPortugal,PRT,2015,11.010347\nPortugal,PRT,2016,12.155133\nPortugal,PRT,2017,13.472885\nPortugal,PRT,2018,14.001616\nPortugal,PRT,2019,14.65165\nPortugal,PRT,2020,13.632531\nPortugal,PRT,2021,18.769447\nPortugal,PRT,2022,16.19468\nPortugal,PRT,2023,14.945193\n```\n\nWas maternal mortality ratio (per 100 000 live births) in Portugal higher in 2001 or 2018?","response":"Higher in 2018. The chart gives 9.2 Deaths per 100 000 live births for 2001 and 14 Deaths per 100 000 live births for 2018, a difference of 4.8 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nPortugal,PRT,2000,9.415924\nPortugal,PRT,2001,9.197031\nPortugal,PRT,2002,8.738869\nPortugal,PRT,2003,8.46033\nPortugal,PRT,2004,8.036961\nPortugal,PRT,2005,8.301733\nPortugal,PRT,2006,7.9236083\nPortugal,PRT,2007,8.47036\nPortugal,PRT,2008,8.830553\nPortugal,PRT,2009,9.420631\nPortugal,PRT,2010,10.005609\nPortugal,PRT,2011,9.530029\nPortugal,PRT,2012,9.991895\nPortugal,PRT,2013,10.251463\nPortugal,PRT,2014,10.757067\nPortugal,PRT,2015,11.010347\nPortugal,PRT,2016,12.155133\nPortugal,PRT,2017,13.472885\nPortugal,PRT,2018,14.001616\nPortugal,PRT,2019,14.65165\nPortugal,PRT,2020,13.632531\nPortugal,PRT,2021,18.769447\nPortugal,PRT,2022,16.19468\nPortugal,PRT,2023,14.945193\n```\n\nBased on this chart, is maternal mortality ratio (per 100 000 live births) in Portugal rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 9.42 Deaths per 100 000 live births to 14.95 Deaths per 100 000 live births, a change of +58.72%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nPortugal,PRT,2000,9.415924\nPortugal,PRT,2001,9.197031\nPortugal,PRT,2002,8.738869\nPortugal,PRT,2003,8.46033\nPortugal,PRT,2004,8.036961\nPortugal,PRT,2005,8.301733\nPortugal,PRT,2006,7.9236083\nPortugal,PRT,2007,8.47036\nPortugal,PRT,2008,8.830553\nPortugal,PRT,2009,9.420631\nPortugal,PRT,2010,10.005609\nPortugal,PRT,2011,9.530029\nPortugal,PRT,2012,9.991895\nPortugal,PRT,2013,10.251463\nPortugal,PRT,2014,10.757067\nPortugal,PRT,2015,11.010347\nPortugal,PRT,2016,12.155133\nPortugal,PRT,2017,13.472885\nPortugal,PRT,2018,14.001616\nPortugal,PRT,2019,14.65165\nPortugal,PRT,2020,13.632531\nPortugal,PRT,2021,18.769447\nPortugal,PRT,2022,16.19468\nPortugal,PRT,2023,14.945193\n```\n\nThis chart makes the change in maternal mortality ratio (per 100 000 live births) for Portugal look dramatic. Is it?","response":"The values change by +58.72%, from 9.42 Deaths per 100 000 live births to 14.95 Deaths per 100 000 live births. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nPortugal,PRT,2000,9.415924\nPortugal,PRT,2001,9.197031\nPortugal,PRT,2002,8.738869\nPortugal,PRT,2003,8.46033\nPortugal,PRT,2004,8.036961\nPortugal,PRT,2005,8.301733\nPortugal,PRT,2006,7.9236083\nPortugal,PRT,2007,8.47036\nPortugal,PRT,2008,8.830553\n```\n\nWhat does this chart suggest about the long-run direction of maternal mortality ratio (per 100 000 live births) in Portugal?","response":"Within the window shown (2000-2008) the series moves -6.22%, but that window runs against the longer record. Across the full series (2000-2023) the change is +58.72%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Maternal mortality ratio (per 100 000 live births)\nPortugal,PRT,2000,9.415924\nPortugal,PRT,2001,9.197031\nPortugal,PRT,2002,8.738869\nPortugal,PRT,2003,8.46033\nPortugal,PRT,2004,8.036961\nPortugal,PRT,2005,8.301733\nPortugal,PRT,2006,7.9236083\nPortugal,PRT,2007,8.47036\nPortugal,PRT,2008,8.830553\nPortugal,PRT,2009,9.420631\nPortugal,PRT,2010,10.005609\nPortugal,PRT,2011,9.530029\nPortugal,PRT,2012,9.991895\nPortugal,PRT,2013,10.251463\nPortugal,PRT,2014,10.757067\nPortugal,PRT,2015,11.010347\nPortugal,PRT,2016,12.155133\nPortugal,PRT,2017,13.472885\nPortugal,PRT,2018,14.001616\nPortugal,PRT,2019,14.65165\nPortugal,PRT,2020,13.632531\nPortugal,PRT,2021,18.769447\nPortugal,PRT,2022,16.19468\nPortugal,PRT,2023,14.945193\n```\n\nWhat was maternal mortality ratio (per 100 000 live births) for Portugal in 1985?","response":"That year is outside this chart. The series runs 2000 to 2023, and 1985 falls before it begins, so there is no value to read. The earliest point available is 2000, at 9.42 Deaths per 100 000 live births.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/maternal-mortality-ratio-sdgs__Portugal__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Maternal mortality ratio","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/maternal-mortality-ratio-who-gho?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nSouth Africa,ZAF,1996,82.4\nSouth Africa,ZAF,2007,88.72\nSouth Africa,ZAF,2009,92.89\nSouth Africa,ZAF,2010,92.88\nSouth Africa,ZAF,2011,93.1\nSouth Africa,ZAF,2012,93.73\nSouth Africa,ZAF,2014,94.14\nSouth Africa,ZAF,2015,94.37\nSouth Africa,ZAF,2016,91.74\nSouth Africa,ZAF,2019,95.02\nSouth Africa,ZAF,2021,90.0\nSouth Africa,ZAF,2024,91.15\n```\n\nAccording to this chart, what was literacy rate among adults in South Africa in 2016?","response":"Reading the plotted point for 2016, literacy rate among adults in South Africa was 91.74 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nSouth Africa,ZAF,1996,82.4\nSouth Africa,ZAF,2007,88.72\nSouth Africa,ZAF,2009,92.89\nSouth Africa,ZAF,2010,92.88\nSouth Africa,ZAF,2011,93.1\nSouth Africa,ZAF,2012,93.73\nSouth Africa,ZAF,2014,94.14\nSouth Africa,ZAF,2015,94.37\nSouth Africa,ZAF,2016,91.74\nSouth Africa,ZAF,2019,95.02\nSouth Africa,ZAF,2021,90.0\nSouth Africa,ZAF,2024,91.15\n```\n\nIn which year shown does literacy rate among adults reach its highest value for South Africa?","response":"The series peaks in 2019, at 95.02 %. The lowest point shown is 1996, at 82.4 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nSouth Africa,ZAF,1996,82.4\nSouth Africa,ZAF,2007,88.72\nSouth Africa,ZAF,2009,92.89\nSouth Africa,ZAF,2010,92.88\nSouth Africa,ZAF,2011,93.1\nSouth Africa,ZAF,2012,93.73\nSouth Africa,ZAF,2014,94.14\nSouth Africa,ZAF,2015,94.37\nSouth Africa,ZAF,2016,91.74\nSouth Africa,ZAF,2019,95.02\nSouth Africa,ZAF,2021,90.0\nSouth Africa,ZAF,2024,91.15\n```\n\nHow much did literacy rate among adults change for South Africa between 1996 and 2024?","response":"It moved from 82.4 % in 1996 to 91.15 % in 2024, a change of 8.75 % (+10.62%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nSouth Africa,ZAF,1996,82.4\nSouth Africa,ZAF,2007,88.72\nSouth Africa,ZAF,2009,92.89\nSouth Africa,ZAF,2010,92.88\nSouth Africa,ZAF,2011,93.1\nSouth Africa,ZAF,2012,93.73\nSouth Africa,ZAF,2014,94.14\nSouth Africa,ZAF,2015,94.37\nSouth Africa,ZAF,2016,91.74\nSouth Africa,ZAF,2019,95.02\nSouth Africa,ZAF,2021,90.0\nSouth Africa,ZAF,2024,91.15\n```\n\nWas literacy rate among adults in South Africa higher in 2009 or 2021?","response":"Higher in 2009. The chart gives 92.89 % for 2009 and 90 % for 2021, a difference of 2.89 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nSouth Africa,ZAF,1996,82.4\nSouth Africa,ZAF,2007,88.72\nSouth Africa,ZAF,2009,92.89\nSouth Africa,ZAF,2010,92.88\nSouth Africa,ZAF,2011,93.1\nSouth Africa,ZAF,2012,93.73\nSouth Africa,ZAF,2014,94.14\nSouth Africa,ZAF,2015,94.37\nSouth Africa,ZAF,2016,91.74\nSouth Africa,ZAF,2019,95.02\nSouth Africa,ZAF,2021,90.0\nSouth Africa,ZAF,2024,91.15\n```\n\nAccording to this chart, what was literacy rate among adults in South Africa in 2016?","response":"Reading the plotted point for 2016, literacy rate among adults in South Africa was 91.74 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nSouth Africa,ZAF,1996,82.4\nSouth Africa,ZAF,2007,88.72\nSouth Africa,ZAF,2009,92.89\nSouth Africa,ZAF,2010,92.88\nSouth Africa,ZAF,2011,93.1\nSouth Africa,ZAF,2012,93.73\nSouth Africa,ZAF,2014,94.14\nSouth Africa,ZAF,2015,94.37\nSouth Africa,ZAF,2016,91.74\nSouth Africa,ZAF,2019,95.02\nSouth Africa,ZAF,2021,90.0\nSouth Africa,ZAF,2024,91.15\n```\n\nIn which year shown does literacy rate among adults reach its highest value for South Africa?","response":"The series peaks in 2019, at 95.02 %. The lowest point shown is 1996, at 82.4 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nSouth Africa,ZAF,1996,82.4\nSouth Africa,ZAF,2007,88.72\nSouth Africa,ZAF,2009,92.89\nSouth Africa,ZAF,2010,92.88\nSouth Africa,ZAF,2011,93.1\nSouth Africa,ZAF,2012,93.73\nSouth Africa,ZAF,2014,94.14\nSouth Africa,ZAF,2015,94.37\nSouth Africa,ZAF,2016,91.74\nSouth Africa,ZAF,2019,95.02\nSouth Africa,ZAF,2021,90.0\nSouth Africa,ZAF,2024,91.15\n```\n\nHow much did literacy rate among adults change for South Africa between 1996 and 2024?","response":"It moved from 82.4 % in 1996 to 91.15 % in 2024, a change of 8.75 % (+10.62%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nSouth Africa,ZAF,1996,82.4\nSouth Africa,ZAF,2007,88.72\nSouth Africa,ZAF,2009,92.89\nSouth Africa,ZAF,2010,92.88\nSouth Africa,ZAF,2011,93.1\nSouth Africa,ZAF,2012,93.73\nSouth Africa,ZAF,2014,94.14\nSouth Africa,ZAF,2015,94.37\nSouth Africa,ZAF,2016,91.74\nSouth Africa,ZAF,2019,95.02\nSouth Africa,ZAF,2021,90.0\nSouth Africa,ZAF,2024,91.15\n```\n\nWas literacy rate among adults in South Africa higher in 2009 or 2021?","response":"Higher in 2009. The chart gives 92.89 % for 2009 and 90 % for 2021, a difference of 2.89 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nSouth Africa,ZAF,1996,82.4\nSouth Africa,ZAF,2007,88.72\nSouth Africa,ZAF,2009,92.89\nSouth Africa,ZAF,2010,92.88\nSouth Africa,ZAF,2011,93.1\nSouth Africa,ZAF,2012,93.73\nSouth Africa,ZAF,2014,94.14\nSouth Africa,ZAF,2015,94.37\nSouth Africa,ZAF,2016,91.74\nSouth Africa,ZAF,2019,95.02\nSouth Africa,ZAF,2021,90.0\nSouth Africa,ZAF,2024,91.15\n```\n\nThis chart appears to show literacy rate among adults in South Africa rising steeply. How large is the increase actually?","response":"The plotted values run from 82.4 % to 91.15 %, so the actual change is +10.62%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 71.6064 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nSouth Africa,ZAF,1996,82.4\nSouth Africa,ZAF,2007,88.72\nSouth Africa,ZAF,2009,92.89\nSouth Africa,ZAF,2010,92.88\nSouth Africa,ZAF,2011,93.1\nSouth Africa,ZAF,2012,93.73\nSouth Africa,ZAF,2014,94.14\nSouth Africa,ZAF,2015,94.37\nSouth Africa,ZAF,2016,91.74\nSouth Africa,ZAF,2019,95.02\nSouth Africa,ZAF,2021,90.0\nSouth Africa,ZAF,2024,91.15\n```\n\nBased on this chart, is literacy rate among adults in South Africa rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 82.4 % to 91.15 %, a change of +10.62%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nSouth Africa,ZAF,2010,92.88\nSouth Africa,ZAF,2011,93.1\nSouth Africa,ZAF,2012,93.73\nSouth Africa,ZAF,2014,94.14\nSouth Africa,ZAF,2015,94.37\nSouth Africa,ZAF,2016,91.74\nSouth Africa,ZAF,2019,95.02\nSouth Africa,ZAF,2021,90.0\nSouth Africa,ZAF,2024,91.15\n```\n\nWhat does this chart suggest about the long-run direction of literacy rate among adults in South Africa?","response":"Within the window shown (2010-2024) the series moves -1.86%, but that window runs against the longer record. Across the full series (1996-2024) the change is +10.62%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nSouth Africa,ZAF,1996,82.4\nSouth Africa,ZAF,2007,88.72\nSouth Africa,ZAF,2009,92.89\nSouth Africa,ZAF,2010,92.88\nSouth Africa,ZAF,2011,93.1\nSouth Africa,ZAF,2012,93.73\nSouth Africa,ZAF,2014,94.14\nSouth Africa,ZAF,2015,94.37\nSouth Africa,ZAF,2016,91.74\nSouth Africa,ZAF,2019,95.02\nSouth Africa,ZAF,2021,90.0\nSouth Africa,ZAF,2024,91.15\n```\n\nHow does South Africa compare with Kenya on this measure?","response":"This chart covers South Africa only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about South Africa on its own: the series runs from 82.4 % in 1996 to 91.15 % in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__South-Africa__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nPhilippines,PHL,1990,93.57\nPhilippines,PHL,1994,93.92\nPhilippines,PHL,2000,92.6\nPhilippines,PHL,2003,92.59\nPhilippines,PHL,2008,95.42\nPhilippines,PHL,2010,97.09\nPhilippines,PHL,2013,96.4\nPhilippines,PHL,2015,98.18\nPhilippines,PHL,2019,96.28\nPhilippines,PHL,2020,98.47\n```\n\nAccording to this chart, what was literacy rate among adults in Philippines in 2020?","response":"Reading the plotted point for 2020, literacy rate among adults in Philippines was 98.47 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nPhilippines,PHL,1990,93.57\nPhilippines,PHL,1994,93.92\nPhilippines,PHL,2000,92.6\nPhilippines,PHL,2003,92.59\nPhilippines,PHL,2008,95.42\nPhilippines,PHL,2010,97.09\nPhilippines,PHL,2013,96.4\nPhilippines,PHL,2015,98.18\nPhilippines,PHL,2019,96.28\nPhilippines,PHL,2020,98.47\n```\n\nIn which year shown does literacy rate among adults reach its highest value for Philippines?","response":"The series peaks in 2020, at 98.47 %. The lowest point shown is 2003, at 92.59 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nPhilippines,PHL,1990,93.57\nPhilippines,PHL,1994,93.92\nPhilippines,PHL,2000,92.6\nPhilippines,PHL,2003,92.59\nPhilippines,PHL,2008,95.42\nPhilippines,PHL,2010,97.09\nPhilippines,PHL,2013,96.4\nPhilippines,PHL,2015,98.18\nPhilippines,PHL,2019,96.28\nPhilippines,PHL,2020,98.47\n```\n\nHow much did literacy rate among adults change for Philippines between 1990 and 2020?","response":"It moved from 93.57 % in 1990 to 98.47 % in 2020, a change of 4.9 % (+5.24%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nPhilippines,PHL,1990,93.57\nPhilippines,PHL,1994,93.92\nPhilippines,PHL,2000,92.6\nPhilippines,PHL,2003,92.59\nPhilippines,PHL,2008,95.42\nPhilippines,PHL,2010,97.09\nPhilippines,PHL,2013,96.4\nPhilippines,PHL,2015,98.18\nPhilippines,PHL,2019,96.28\nPhilippines,PHL,2020,98.47\n```\n\nWas literacy rate among adults in Philippines higher in 2003 or 2013?","response":"Higher in 2013. The chart gives 92.59 % for 2003 and 96.4 % for 2013, a difference of 3.81 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nPhilippines,PHL,1990,93.57\nPhilippines,PHL,1994,93.92\nPhilippines,PHL,2000,92.6\nPhilippines,PHL,2003,92.59\nPhilippines,PHL,2008,95.42\nPhilippines,PHL,2010,97.09\nPhilippines,PHL,2013,96.4\nPhilippines,PHL,2015,98.18\nPhilippines,PHL,2019,96.28\nPhilippines,PHL,2020,98.47\n```\n\nAccording to this chart, what was literacy rate among adults in Philippines in 2020?","response":"Reading the plotted point for 2020, literacy rate among adults in Philippines was 98.47 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nPhilippines,PHL,1990,93.57\nPhilippines,PHL,1994,93.92\nPhilippines,PHL,2000,92.6\nPhilippines,PHL,2003,92.59\nPhilippines,PHL,2008,95.42\nPhilippines,PHL,2010,97.09\nPhilippines,PHL,2013,96.4\nPhilippines,PHL,2015,98.18\nPhilippines,PHL,2019,96.28\nPhilippines,PHL,2020,98.47\n```\n\nIn which year shown does literacy rate among adults reach its highest value for Philippines?","response":"The series peaks in 2020, at 98.47 %. The lowest point shown is 2003, at 92.59 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nPhilippines,PHL,1990,93.57\nPhilippines,PHL,1994,93.92\nPhilippines,PHL,2000,92.6\nPhilippines,PHL,2003,92.59\nPhilippines,PHL,2008,95.42\nPhilippines,PHL,2010,97.09\nPhilippines,PHL,2013,96.4\nPhilippines,PHL,2015,98.18\nPhilippines,PHL,2019,96.28\nPhilippines,PHL,2020,98.47\n```\n\nHow much did literacy rate among adults change for Philippines between 1990 and 2020?","response":"It moved from 93.57 % in 1990 to 98.47 % in 2020, a change of 4.9 % (+5.24%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nPhilippines,PHL,1990,93.57\nPhilippines,PHL,1994,93.92\nPhilippines,PHL,2000,92.6\nPhilippines,PHL,2003,92.59\nPhilippines,PHL,2008,95.42\nPhilippines,PHL,2010,97.09\nPhilippines,PHL,2013,96.4\nPhilippines,PHL,2015,98.18\nPhilippines,PHL,2019,96.28\nPhilippines,PHL,2020,98.47\n```\n\nWas literacy rate among adults in Philippines higher in 2003 or 2013?","response":"Higher in 2013. The chart gives 92.59 % for 2003 and 96.4 % for 2013, a difference of 3.81 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nPhilippines,PHL,1990,93.57\nPhilippines,PHL,1994,93.92\nPhilippines,PHL,2000,92.6\nPhilippines,PHL,2003,92.59\nPhilippines,PHL,2008,95.42\nPhilippines,PHL,2010,97.09\nPhilippines,PHL,2013,96.4\nPhilippines,PHL,2015,98.18\nPhilippines,PHL,2019,96.28\nPhilippines,PHL,2020,98.47\n```\n\nThis chart appears to show literacy rate among adults in Philippines rising steeply. How large is the increase actually?","response":"The plotted values run from 93.57 % to 98.47 %, so the actual change is +5.24%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 77.8054 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nPhilippines,PHL,1990,93.57\nPhilippines,PHL,1994,93.92\nPhilippines,PHL,2000,92.6\nPhilippines,PHL,2003,92.59\nPhilippines,PHL,2008,95.42\nPhilippines,PHL,2010,97.09\nPhilippines,PHL,2013,96.4\nPhilippines,PHL,2015,98.18\nPhilippines,PHL,2019,96.28\nPhilippines,PHL,2020,98.47\n```\n\nBased on this chart, is literacy rate among adults in Philippines rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 93.57 % to 98.47 %, a change of +5.24%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nPhilippines,PHL,1990,93.57\nPhilippines,PHL,1994,93.92\nPhilippines,PHL,2000,92.6\nPhilippines,PHL,2003,92.59\nPhilippines,PHL,2008,95.42\nPhilippines,PHL,2010,97.09\nPhilippines,PHL,2013,96.4\nPhilippines,PHL,2015,98.18\nPhilippines,PHL,2019,96.28\nPhilippines,PHL,2020,98.47\n```\n\nWhat caused the change in literacy rate among adults for Philippines around 2008?","response":"The chart shows that the change happened: literacy rate among adults moves to 95.42 % in 2008. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__Philippines__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nIndia,IND,1991,48.22\nIndia,IND,2001,61.01\nIndia,IND,2006,62.75\nIndia,IND,2010,68.32582\nIndia,IND,2011,69.3\nIndia,IND,2012,69.82793\nIndia,IND,2018,73.688354\nIndia,IND,2019,74.89386\nIndia,IND,2020,75.52706\nIndia,IND,2021,76.05966\nIndia,IND,2022,76.32\nIndia,IND,2023,81.7\nIndia,IND,2024,78.16254\n```\n\nAccording to this chart, what was literacy rate among adults in India in 2011?","response":"Reading the plotted point for 2011, literacy rate among adults in India was 69.3 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nIndia,IND,1991,48.22\nIndia,IND,2001,61.01\nIndia,IND,2006,62.75\nIndia,IND,2010,68.32582\nIndia,IND,2011,69.3\nIndia,IND,2012,69.82793\nIndia,IND,2018,73.688354\nIndia,IND,2019,74.89386\nIndia,IND,2020,75.52706\nIndia,IND,2021,76.05966\nIndia,IND,2022,76.32\nIndia,IND,2023,81.7\nIndia,IND,2024,78.16254\n```\n\nIn which year shown does literacy rate among adults reach its highest value for India?","response":"The series peaks in 2023, at 81.7 %. The lowest point shown is 1991, at 48.22 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nIndia,IND,1991,48.22\nIndia,IND,2001,61.01\nIndia,IND,2006,62.75\nIndia,IND,2010,68.32582\nIndia,IND,2011,69.3\nIndia,IND,2012,69.82793\nIndia,IND,2018,73.688354\nIndia,IND,2019,74.89386\nIndia,IND,2020,75.52706\nIndia,IND,2021,76.05966\nIndia,IND,2022,76.32\nIndia,IND,2023,81.7\nIndia,IND,2024,78.16254\n```\n\nHow much did literacy rate among adults change for India between 1991 and 2024?","response":"It moved from 48.22 % in 1991 to 78.16 % in 2024, a change of 29.94 % (+62.10%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nIndia,IND,1991,48.22\nIndia,IND,2001,61.01\nIndia,IND,2006,62.75\nIndia,IND,2010,68.32582\nIndia,IND,2011,69.3\nIndia,IND,2012,69.82793\nIndia,IND,2018,73.688354\nIndia,IND,2019,74.89386\nIndia,IND,2020,75.52706\nIndia,IND,2021,76.05966\nIndia,IND,2022,76.32\nIndia,IND,2023,81.7\nIndia,IND,2024,78.16254\n```\n\nWas literacy rate among adults in India higher in 2011 or 2019?","response":"Higher in 2019. The chart gives 69.3 % for 2011 and 74.89 % for 2019, a difference of 5.59 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nIndia,IND,1991,48.22\nIndia,IND,2001,61.01\nIndia,IND,2006,62.75\nIndia,IND,2010,68.32582\nIndia,IND,2011,69.3\nIndia,IND,2012,69.82793\nIndia,IND,2018,73.688354\nIndia,IND,2019,74.89386\nIndia,IND,2020,75.52706\nIndia,IND,2021,76.05966\nIndia,IND,2022,76.32\nIndia,IND,2023,81.7\nIndia,IND,2024,78.16254\n```\n\nAccording to this chart, what was literacy rate among adults in India in 2011?","response":"Reading the plotted point for 2011, literacy rate among adults in India was 69.3 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nIndia,IND,1991,48.22\nIndia,IND,2001,61.01\nIndia,IND,2006,62.75\nIndia,IND,2010,68.32582\nIndia,IND,2011,69.3\nIndia,IND,2012,69.82793\nIndia,IND,2018,73.688354\nIndia,IND,2019,74.89386\nIndia,IND,2020,75.52706\nIndia,IND,2021,76.05966\nIndia,IND,2022,76.32\nIndia,IND,2023,81.7\nIndia,IND,2024,78.16254\n```\n\nIn which year shown does literacy rate among adults reach its highest value for India?","response":"The series peaks in 2023, at 81.7 %. The lowest point shown is 1991, at 48.22 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nIndia,IND,1991,48.22\nIndia,IND,2001,61.01\nIndia,IND,2006,62.75\nIndia,IND,2010,68.32582\nIndia,IND,2011,69.3\nIndia,IND,2012,69.82793\nIndia,IND,2018,73.688354\nIndia,IND,2019,74.89386\nIndia,IND,2020,75.52706\nIndia,IND,2021,76.05966\nIndia,IND,2022,76.32\nIndia,IND,2023,81.7\nIndia,IND,2024,78.16254\n```\n\nHow much did literacy rate among adults change for India between 1991 and 2024?","response":"It moved from 48.22 % in 1991 to 78.16 % in 2024, a change of 29.94 % (+62.10%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nIndia,IND,1991,48.22\nIndia,IND,2001,61.01\nIndia,IND,2006,62.75\nIndia,IND,2010,68.32582\nIndia,IND,2011,69.3\nIndia,IND,2012,69.82793\nIndia,IND,2018,73.688354\nIndia,IND,2019,74.89386\nIndia,IND,2020,75.52706\nIndia,IND,2021,76.05966\nIndia,IND,2022,76.32\nIndia,IND,2023,81.7\nIndia,IND,2024,78.16254\n```\n\nWas literacy rate among adults in India higher in 2011 or 2019?","response":"Higher in 2019. The chart gives 69.3 % for 2011 and 74.89 % for 2019, a difference of 5.59 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nIndia,IND,1991,48.22\nIndia,IND,2001,61.01\nIndia,IND,2006,62.75\nIndia,IND,2010,68.32582\nIndia,IND,2011,69.3\nIndia,IND,2012,69.82793\nIndia,IND,2018,73.688354\nIndia,IND,2019,74.89386\nIndia,IND,2020,75.52706\nIndia,IND,2021,76.05966\nIndia,IND,2022,76.32\nIndia,IND,2023,81.7\nIndia,IND,2024,78.16254\n```\n\nThis chart makes the change in literacy rate among adults for India look dramatic. Is it?","response":"The values change by +62.10%, from 48.22 % to 78.16 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nIndia,IND,1991,48.22\nIndia,IND,2001,61.01\nIndia,IND,2006,62.75\nIndia,IND,2010,68.32582\nIndia,IND,2011,69.3\nIndia,IND,2012,69.82793\nIndia,IND,2018,73.688354\nIndia,IND,2019,74.89386\nIndia,IND,2020,75.52706\nIndia,IND,2021,76.05966\nIndia,IND,2022,76.32\nIndia,IND,2023,81.7\nIndia,IND,2024,78.16254\n```\n\nThis chart appears to show literacy rate among adults in India rising steeply. How large is the increase actually?","response":"The plotted values run from 48.22 % to 78.16 %, so the actual change is +62.10%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 47.5504 instead of zero, which magnifies the visual change by roughly 2.53x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Literacy rate among adults\nIndia,IND,1991,48.22\nIndia,IND,2001,61.01\nIndia,IND,2006,62.75\nIndia,IND,2010,68.32582\nIndia,IND,2011,69.3\nIndia,IND,2012,69.82793\nIndia,IND,2018,73.688354\nIndia,IND,2019,74.89386\nIndia,IND,2020,75.52706\nIndia,IND,2021,76.05966\nIndia,IND,2022,76.32\nIndia,IND,2023,81.7\nIndia,IND,2024,78.16254\n```\n\nWhat was literacy rate among adults for India in 1976?","response":"That year is outside this chart. The series runs 1991 to 2024, and 1976 falls before it begins, so there is no value to read. The earliest point available is 1991, at 48.22 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/literacy-rate-adults__India__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Literacy rates among adults","source_citation":"UNESCO Institute for Statistics (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/literacy?age_group=adult&sex=both&csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nIndia,IND,1990,4.045\nIndia,IND,1991,3.959\nIndia,IND,1992,3.877\nIndia,IND,1993,3.799\nIndia,IND,1994,3.723\nIndia,IND,1995,3.651\nIndia,IND,1996,3.582\nIndia,IND,1997,3.514\nIndia,IND,1998,3.446\nIndia,IND,1999,3.383\nIndia,IND,2000,3.35\nIndia,IND,2001,3.303\nIndia,IND,2002,3.217\nIndia,IND,2003,3.122\nIndia,IND,2004,3.046\nIndia,IND,2005,2.958\nIndia,IND,2006,2.867\nIndia,IND,2007,2.775\nIndia,IND,2008,2.711\nIndia,IND,2009,2.674\nIndia,IND,2010,2.598\nIndia,IND,2011,2.532\nIndia,IND,2012,2.47\nIndia,IND,2013,2.399\nIndia,IND,2014,2.293\nIndia,IND,2015,2.289\nIndia,IND,2016,2.284\nIndia,IND,2017,2.193\nIndia,IND,2018,2.184\nIndia,IND,2019,2.12\nIndia,IND,2020,2.047\nIndia,IND,2021,2.014\nIndia,IND,2022,1.994\nIndia,IND,2023,1.975\n```\n\nAccording to this chart, what was fertility rate (estimates) in India in 1999?","response":"Reading the plotted point for 1999, fertility rate (estimates) in India was 3.38 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nIndia,IND,1990,4.045\nIndia,IND,1991,3.959\nIndia,IND,1992,3.877\nIndia,IND,1993,3.799\nIndia,IND,1994,3.723\nIndia,IND,1995,3.651\nIndia,IND,1996,3.582\nIndia,IND,1997,3.514\nIndia,IND,1998,3.446\nIndia,IND,1999,3.383\nIndia,IND,2000,3.35\nIndia,IND,2001,3.303\nIndia,IND,2002,3.217\nIndia,IND,2003,3.122\nIndia,IND,2004,3.046\nIndia,IND,2005,2.958\nIndia,IND,2006,2.867\nIndia,IND,2007,2.775\nIndia,IND,2008,2.711\nIndia,IND,2009,2.674\nIndia,IND,2010,2.598\nIndia,IND,2011,2.532\nIndia,IND,2012,2.47\nIndia,IND,2013,2.399\nIndia,IND,2014,2.293\nIndia,IND,2015,2.289\nIndia,IND,2016,2.284\nIndia,IND,2017,2.193\nIndia,IND,2018,2.184\nIndia,IND,2019,2.12\nIndia,IND,2020,2.047\nIndia,IND,2021,2.014\nIndia,IND,2022,1.994\nIndia,IND,2023,1.975\n```\n\nIn which year shown does fertility rate (estimates) reach its highest value for India?","response":"The series peaks in 1990, at 4.04 live births per woman. The lowest point shown is 2023, at 1.98 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nIndia,IND,1990,4.045\nIndia,IND,1991,3.959\nIndia,IND,1992,3.877\nIndia,IND,1993,3.799\nIndia,IND,1994,3.723\nIndia,IND,1995,3.651\nIndia,IND,1996,3.582\nIndia,IND,1997,3.514\nIndia,IND,1998,3.446\nIndia,IND,1999,3.383\nIndia,IND,2000,3.35\nIndia,IND,2001,3.303\nIndia,IND,2002,3.217\nIndia,IND,2003,3.122\nIndia,IND,2004,3.046\nIndia,IND,2005,2.958\nIndia,IND,2006,2.867\nIndia,IND,2007,2.775\nIndia,IND,2008,2.711\nIndia,IND,2009,2.674\nIndia,IND,2010,2.598\nIndia,IND,2011,2.532\nIndia,IND,2012,2.47\nIndia,IND,2013,2.399\nIndia,IND,2014,2.293\nIndia,IND,2015,2.289\nIndia,IND,2016,2.284\nIndia,IND,2017,2.193\nIndia,IND,2018,2.184\nIndia,IND,2019,2.12\nIndia,IND,2020,2.047\nIndia,IND,2021,2.014\nIndia,IND,2022,1.994\nIndia,IND,2023,1.975\n```\n\nHow much did fertility rate (estimates) change for India between 1990 and 2023?","response":"It moved from 4.04 live births per woman in 1990 to 1.98 live births per woman in 2023, a change of -2.07 live births per woman (-51.17%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nIndia,IND,1990,4.045\nIndia,IND,1991,3.959\nIndia,IND,1992,3.877\nIndia,IND,1993,3.799\nIndia,IND,1994,3.723\nIndia,IND,1995,3.651\nIndia,IND,1996,3.582\nIndia,IND,1997,3.514\nIndia,IND,1998,3.446\nIndia,IND,1999,3.383\nIndia,IND,2000,3.35\nIndia,IND,2001,3.303\nIndia,IND,2002,3.217\nIndia,IND,2003,3.122\nIndia,IND,2004,3.046\nIndia,IND,2005,2.958\nIndia,IND,2006,2.867\nIndia,IND,2007,2.775\nIndia,IND,2008,2.711\nIndia,IND,2009,2.674\nIndia,IND,2010,2.598\nIndia,IND,2011,2.532\nIndia,IND,2012,2.47\nIndia,IND,2013,2.399\nIndia,IND,2014,2.293\nIndia,IND,2015,2.289\nIndia,IND,2016,2.284\nIndia,IND,2017,2.193\nIndia,IND,2018,2.184\nIndia,IND,2019,2.12\nIndia,IND,2020,2.047\nIndia,IND,2021,2.014\nIndia,IND,2022,1.994\nIndia,IND,2023,1.975\n```\n\nWas fertility rate (estimates) in India higher in 1993 or 2013?","response":"Higher in 1993. The chart gives 3.8 live births per woman for 1993 and 2.4 live births per woman for 2013, a difference of 1.4 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nIndia,IND,1990,4.045\nIndia,IND,1991,3.959\nIndia,IND,1992,3.877\nIndia,IND,1993,3.799\nIndia,IND,1994,3.723\nIndia,IND,1995,3.651\nIndia,IND,1996,3.582\nIndia,IND,1997,3.514\nIndia,IND,1998,3.446\nIndia,IND,1999,3.383\nIndia,IND,2000,3.35\nIndia,IND,2001,3.303\nIndia,IND,2002,3.217\nIndia,IND,2003,3.122\nIndia,IND,2004,3.046\nIndia,IND,2005,2.958\nIndia,IND,2006,2.867\nIndia,IND,2007,2.775\nIndia,IND,2008,2.711\nIndia,IND,2009,2.674\nIndia,IND,2010,2.598\nIndia,IND,2011,2.532\nIndia,IND,2012,2.47\nIndia,IND,2013,2.399\nIndia,IND,2014,2.293\nIndia,IND,2015,2.289\nIndia,IND,2016,2.284\nIndia,IND,2017,2.193\nIndia,IND,2018,2.184\nIndia,IND,2019,2.12\nIndia,IND,2020,2.047\nIndia,IND,2021,2.014\nIndia,IND,2022,1.994\nIndia,IND,2023,1.975\n```\n\nAccording to this chart, what was fertility rate (estimates) in India in 1999?","response":"Reading the plotted point for 1999, fertility rate (estimates) in India was 3.38 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nIndia,IND,1990,4.045\nIndia,IND,1991,3.959\nIndia,IND,1992,3.877\nIndia,IND,1993,3.799\nIndia,IND,1994,3.723\nIndia,IND,1995,3.651\nIndia,IND,1996,3.582\nIndia,IND,1997,3.514\nIndia,IND,1998,3.446\nIndia,IND,1999,3.383\nIndia,IND,2000,3.35\nIndia,IND,2001,3.303\nIndia,IND,2002,3.217\nIndia,IND,2003,3.122\nIndia,IND,2004,3.046\nIndia,IND,2005,2.958\nIndia,IND,2006,2.867\nIndia,IND,2007,2.775\nIndia,IND,2008,2.711\nIndia,IND,2009,2.674\nIndia,IND,2010,2.598\nIndia,IND,2011,2.532\nIndia,IND,2012,2.47\nIndia,IND,2013,2.399\nIndia,IND,2014,2.293\nIndia,IND,2015,2.289\nIndia,IND,2016,2.284\nIndia,IND,2017,2.193\nIndia,IND,2018,2.184\nIndia,IND,2019,2.12\nIndia,IND,2020,2.047\nIndia,IND,2021,2.014\nIndia,IND,2022,1.994\nIndia,IND,2023,1.975\n```\n\nIn which year shown does fertility rate (estimates) reach its highest value for India?","response":"The series peaks in 1990, at 4.04 live births per woman. The lowest point shown is 2023, at 1.98 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nIndia,IND,1990,4.045\nIndia,IND,1991,3.959\nIndia,IND,1992,3.877\nIndia,IND,1993,3.799\nIndia,IND,1994,3.723\nIndia,IND,1995,3.651\nIndia,IND,1996,3.582\nIndia,IND,1997,3.514\nIndia,IND,1998,3.446\nIndia,IND,1999,3.383\nIndia,IND,2000,3.35\nIndia,IND,2001,3.303\nIndia,IND,2002,3.217\nIndia,IND,2003,3.122\nIndia,IND,2004,3.046\nIndia,IND,2005,2.958\nIndia,IND,2006,2.867\nIndia,IND,2007,2.775\nIndia,IND,2008,2.711\nIndia,IND,2009,2.674\nIndia,IND,2010,2.598\nIndia,IND,2011,2.532\nIndia,IND,2012,2.47\nIndia,IND,2013,2.399\nIndia,IND,2014,2.293\nIndia,IND,2015,2.289\nIndia,IND,2016,2.284\nIndia,IND,2017,2.193\nIndia,IND,2018,2.184\nIndia,IND,2019,2.12\nIndia,IND,2020,2.047\nIndia,IND,2021,2.014\nIndia,IND,2022,1.994\nIndia,IND,2023,1.975\n```\n\nHow much did fertility rate (estimates) change for India between 1990 and 2023?","response":"It moved from 4.04 live births per woman in 1990 to 1.98 live births per woman in 2023, a change of -2.07 live births per woman (-51.17%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nIndia,IND,1990,4.045\nIndia,IND,1991,3.959\nIndia,IND,1992,3.877\nIndia,IND,1993,3.799\nIndia,IND,1994,3.723\nIndia,IND,1995,3.651\nIndia,IND,1996,3.582\nIndia,IND,1997,3.514\nIndia,IND,1998,3.446\nIndia,IND,1999,3.383\nIndia,IND,2000,3.35\nIndia,IND,2001,3.303\nIndia,IND,2002,3.217\nIndia,IND,2003,3.122\nIndia,IND,2004,3.046\nIndia,IND,2005,2.958\nIndia,IND,2006,2.867\nIndia,IND,2007,2.775\nIndia,IND,2008,2.711\nIndia,IND,2009,2.674\nIndia,IND,2010,2.598\nIndia,IND,2011,2.532\nIndia,IND,2012,2.47\nIndia,IND,2013,2.399\nIndia,IND,2014,2.293\nIndia,IND,2015,2.289\nIndia,IND,2016,2.284\nIndia,IND,2017,2.193\nIndia,IND,2018,2.184\nIndia,IND,2019,2.12\nIndia,IND,2020,2.047\nIndia,IND,2021,2.014\nIndia,IND,2022,1.994\nIndia,IND,2023,1.975\n```\n\nWas fertility rate (estimates) in India higher in 1993 or 2013?","response":"Higher in 1993. The chart gives 3.8 live births per woman for 1993 and 2.4 live births per woman for 2013, a difference of 1.4 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nIndia,IND,1990,4.045\nIndia,IND,1991,3.959\nIndia,IND,1992,3.877\nIndia,IND,1993,3.799\nIndia,IND,1994,3.723\nIndia,IND,1995,3.651\nIndia,IND,1996,3.582\nIndia,IND,1997,3.514\nIndia,IND,1998,3.446\nIndia,IND,1999,3.383\nIndia,IND,2000,3.35\nIndia,IND,2001,3.303\nIndia,IND,2002,3.217\nIndia,IND,2003,3.122\nIndia,IND,2004,3.046\nIndia,IND,2005,2.958\nIndia,IND,2006,2.867\nIndia,IND,2007,2.775\nIndia,IND,2008,2.711\nIndia,IND,2009,2.674\nIndia,IND,2010,2.598\nIndia,IND,2011,2.532\nIndia,IND,2012,2.47\nIndia,IND,2013,2.399\nIndia,IND,2014,2.293\nIndia,IND,2015,2.289\nIndia,IND,2016,2.284\nIndia,IND,2017,2.193\nIndia,IND,2018,2.184\nIndia,IND,2019,2.12\nIndia,IND,2020,2.047\nIndia,IND,2021,2.014\nIndia,IND,2022,1.994\nIndia,IND,2023,1.975\n```\n\nBased on this chart, is fertility rate (estimates) in India rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 4.04 live births per woman to 1.98 live births per woman, a change of -51.17%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nIndia,IND,1990,4.045\nIndia,IND,1991,3.959\nIndia,IND,1992,3.877\nIndia,IND,1993,3.799\nIndia,IND,1994,3.723\nIndia,IND,1995,3.651\nIndia,IND,1996,3.582\nIndia,IND,1997,3.514\nIndia,IND,1998,3.446\nIndia,IND,1999,3.383\nIndia,IND,2000,3.35\nIndia,IND,2001,3.303\nIndia,IND,2002,3.217\nIndia,IND,2003,3.122\nIndia,IND,2004,3.046\nIndia,IND,2005,2.958\nIndia,IND,2006,2.867\nIndia,IND,2007,2.775\nIndia,IND,2008,2.711\nIndia,IND,2009,2.674\nIndia,IND,2010,2.598\nIndia,IND,2011,2.532\nIndia,IND,2012,2.47\nIndia,IND,2013,2.399\nIndia,IND,2014,2.293\nIndia,IND,2015,2.289\nIndia,IND,2016,2.284\nIndia,IND,2017,2.193\nIndia,IND,2018,2.184\nIndia,IND,2019,2.12\nIndia,IND,2020,2.047\nIndia,IND,2021,2.014\nIndia,IND,2022,1.994\nIndia,IND,2023,1.975\n```\n\nThis chart makes the change in fertility rate (estimates) for India look dramatic. Is it?","response":"The values change by -51.17%, from 4.04 live births per woman to 1.98 live births per woman. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nIndia,IND,1990,4.045\nIndia,IND,1991,3.959\nIndia,IND,1992,3.877\nIndia,IND,1993,3.799\nIndia,IND,1994,3.723\nIndia,IND,1995,3.651\nIndia,IND,1996,3.582\nIndia,IND,1997,3.514\nIndia,IND,1998,3.446\nIndia,IND,1999,3.383\nIndia,IND,2000,3.35\nIndia,IND,2001,3.303\nIndia,IND,2002,3.217\nIndia,IND,2003,3.122\nIndia,IND,2004,3.046\nIndia,IND,2005,2.958\nIndia,IND,2006,2.867\nIndia,IND,2007,2.775\nIndia,IND,2008,2.711\nIndia,IND,2009,2.674\nIndia,IND,2010,2.598\nIndia,IND,2011,2.532\nIndia,IND,2012,2.47\nIndia,IND,2013,2.399\nIndia,IND,2014,2.293\nIndia,IND,2015,2.289\nIndia,IND,2016,2.284\nIndia,IND,2017,2.193\nIndia,IND,2018,2.184\nIndia,IND,2019,2.12\nIndia,IND,2020,2.047\nIndia,IND,2021,2.014\nIndia,IND,2022,1.994\nIndia,IND,2023,1.975\n```\n\nHow does India compare with Viet Nam on this measure?","response":"This chart covers India only, so Viet Nam is not plotted and I cannot compare them from it. The chart does support statements about India on its own: the series runs from 4.04 live births per woman in 1990 to 1.98 live births per woman in 2023.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__India__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nChina,CHN,1990,2.514\nChina,CHN,1991,1.934\nChina,CHN,1992,1.776\nChina,CHN,1993,1.691\nChina,CHN,1994,1.628\nChina,CHN,1995,1.588\nChina,CHN,1996,1.554\nChina,CHN,1997,1.527\nChina,CHN,1998,1.522\nChina,CHN,1999,1.53\nChina,CHN,2000,1.628\nChina,CHN,2001,1.563\nChina,CHN,2002,1.566\nChina,CHN,2003,1.57\nChina,CHN,2004,1.605\nChina,CHN,2005,1.624\nChina,CHN,2006,1.644\nChina,CHN,2007,1.666\nChina,CHN,2008,1.701\nChina,CHN,2009,1.714\nChina,CHN,2010,1.687\nChina,CHN,2011,1.668\nChina,CHN,2012,1.798\nChina,CHN,2013,1.714\nChina,CHN,2014,1.769\nChina,CHN,2015,1.67\nChina,CHN,2016,1.772\nChina,CHN,2017,1.795\nChina,CHN,2018,1.539\nChina,CHN,2019,1.496\nChina,CHN,2020,1.236\nChina,CHN,2021,1.117\nChina,CHN,2022,1.034\nChina,CHN,2023,0.999\n```\n\nAccording to this chart, what was fertility rate (estimates) in China in 2014?","response":"Reading the plotted point for 2014, fertility rate (estimates) in China was 1.77 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nChina,CHN,1990,2.514\nChina,CHN,1991,1.934\nChina,CHN,1992,1.776\nChina,CHN,1993,1.691\nChina,CHN,1994,1.628\nChina,CHN,1995,1.588\nChina,CHN,1996,1.554\nChina,CHN,1997,1.527\nChina,CHN,1998,1.522\nChina,CHN,1999,1.53\nChina,CHN,2000,1.628\nChina,CHN,2001,1.563\nChina,CHN,2002,1.566\nChina,CHN,2003,1.57\nChina,CHN,2004,1.605\nChina,CHN,2005,1.624\nChina,CHN,2006,1.644\nChina,CHN,2007,1.666\nChina,CHN,2008,1.701\nChina,CHN,2009,1.714\nChina,CHN,2010,1.687\nChina,CHN,2011,1.668\nChina,CHN,2012,1.798\nChina,CHN,2013,1.714\nChina,CHN,2014,1.769\nChina,CHN,2015,1.67\nChina,CHN,2016,1.772\nChina,CHN,2017,1.795\nChina,CHN,2018,1.539\nChina,CHN,2019,1.496\nChina,CHN,2020,1.236\nChina,CHN,2021,1.117\nChina,CHN,2022,1.034\nChina,CHN,2023,0.999\n```\n\nIn which year shown does fertility rate (estimates) reach its highest value for China?","response":"The series peaks in 1990, at 2.51 live births per woman. The lowest point shown is 2023, at 1 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nChina,CHN,1990,2.514\nChina,CHN,1991,1.934\nChina,CHN,1992,1.776\nChina,CHN,1993,1.691\nChina,CHN,1994,1.628\nChina,CHN,1995,1.588\nChina,CHN,1996,1.554\nChina,CHN,1997,1.527\nChina,CHN,1998,1.522\nChina,CHN,1999,1.53\nChina,CHN,2000,1.628\nChina,CHN,2001,1.563\nChina,CHN,2002,1.566\nChina,CHN,2003,1.57\nChina,CHN,2004,1.605\nChina,CHN,2005,1.624\nChina,CHN,2006,1.644\nChina,CHN,2007,1.666\nChina,CHN,2008,1.701\nChina,CHN,2009,1.714\nChina,CHN,2010,1.687\nChina,CHN,2011,1.668\nChina,CHN,2012,1.798\nChina,CHN,2013,1.714\nChina,CHN,2014,1.769\nChina,CHN,2015,1.67\nChina,CHN,2016,1.772\nChina,CHN,2017,1.795\nChina,CHN,2018,1.539\nChina,CHN,2019,1.496\nChina,CHN,2020,1.236\nChina,CHN,2021,1.117\nChina,CHN,2022,1.034\nChina,CHN,2023,0.999\n```\n\nHow much did fertility rate (estimates) change for China between 1990 and 2023?","response":"It moved from 2.51 live births per woman in 1990 to 1 live births per woman in 2023, a change of -1.51 live births per woman (-60.26%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nChina,CHN,1990,2.514\nChina,CHN,1991,1.934\nChina,CHN,1992,1.776\nChina,CHN,1993,1.691\nChina,CHN,1994,1.628\nChina,CHN,1995,1.588\nChina,CHN,1996,1.554\nChina,CHN,1997,1.527\nChina,CHN,1998,1.522\nChina,CHN,1999,1.53\nChina,CHN,2000,1.628\nChina,CHN,2001,1.563\nChina,CHN,2002,1.566\nChina,CHN,2003,1.57\nChina,CHN,2004,1.605\nChina,CHN,2005,1.624\nChina,CHN,2006,1.644\nChina,CHN,2007,1.666\nChina,CHN,2008,1.701\nChina,CHN,2009,1.714\nChina,CHN,2010,1.687\nChina,CHN,2011,1.668\nChina,CHN,2012,1.798\nChina,CHN,2013,1.714\nChina,CHN,2014,1.769\nChina,CHN,2015,1.67\nChina,CHN,2016,1.772\nChina,CHN,2017,1.795\nChina,CHN,2018,1.539\nChina,CHN,2019,1.496\nChina,CHN,2020,1.236\nChina,CHN,2021,1.117\nChina,CHN,2022,1.034\nChina,CHN,2023,0.999\n```\n\nWas fertility rate (estimates) in China higher in 2003 or 2008?","response":"Higher in 2008. The chart gives 1.57 live births per woman for 2003 and 1.7 live births per woman for 2008, a difference of 0.13 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nChina,CHN,1990,2.514\nChina,CHN,1991,1.934\nChina,CHN,1992,1.776\nChina,CHN,1993,1.691\nChina,CHN,1994,1.628\nChina,CHN,1995,1.588\nChina,CHN,1996,1.554\nChina,CHN,1997,1.527\nChina,CHN,1998,1.522\nChina,CHN,1999,1.53\nChina,CHN,2000,1.628\nChina,CHN,2001,1.563\nChina,CHN,2002,1.566\nChina,CHN,2003,1.57\nChina,CHN,2004,1.605\nChina,CHN,2005,1.624\nChina,CHN,2006,1.644\nChina,CHN,2007,1.666\nChina,CHN,2008,1.701\nChina,CHN,2009,1.714\nChina,CHN,2010,1.687\nChina,CHN,2011,1.668\nChina,CHN,2012,1.798\nChina,CHN,2013,1.714\nChina,CHN,2014,1.769\nChina,CHN,2015,1.67\nChina,CHN,2016,1.772\nChina,CHN,2017,1.795\nChina,CHN,2018,1.539\nChina,CHN,2019,1.496\nChina,CHN,2020,1.236\nChina,CHN,2021,1.117\nChina,CHN,2022,1.034\nChina,CHN,2023,0.999\n```\n\nAccording to this chart, what was fertility rate (estimates) in China in 2014?","response":"Reading the plotted point for 2014, fertility rate (estimates) in China was 1.77 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nChina,CHN,1990,2.514\nChina,CHN,1991,1.934\nChina,CHN,1992,1.776\nChina,CHN,1993,1.691\nChina,CHN,1994,1.628\nChina,CHN,1995,1.588\nChina,CHN,1996,1.554\nChina,CHN,1997,1.527\nChina,CHN,1998,1.522\nChina,CHN,1999,1.53\nChina,CHN,2000,1.628\nChina,CHN,2001,1.563\nChina,CHN,2002,1.566\nChina,CHN,2003,1.57\nChina,CHN,2004,1.605\nChina,CHN,2005,1.624\nChina,CHN,2006,1.644\nChina,CHN,2007,1.666\nChina,CHN,2008,1.701\nChina,CHN,2009,1.714\nChina,CHN,2010,1.687\nChina,CHN,2011,1.668\nChina,CHN,2012,1.798\nChina,CHN,2013,1.714\nChina,CHN,2014,1.769\nChina,CHN,2015,1.67\nChina,CHN,2016,1.772\nChina,CHN,2017,1.795\nChina,CHN,2018,1.539\nChina,CHN,2019,1.496\nChina,CHN,2020,1.236\nChina,CHN,2021,1.117\nChina,CHN,2022,1.034\nChina,CHN,2023,0.999\n```\n\nIn which year shown does fertility rate (estimates) reach its highest value for China?","response":"The series peaks in 1990, at 2.51 live births per woman. The lowest point shown is 2023, at 1 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nChina,CHN,1990,2.514\nChina,CHN,1991,1.934\nChina,CHN,1992,1.776\nChina,CHN,1993,1.691\nChina,CHN,1994,1.628\nChina,CHN,1995,1.588\nChina,CHN,1996,1.554\nChina,CHN,1997,1.527\nChina,CHN,1998,1.522\nChina,CHN,1999,1.53\nChina,CHN,2000,1.628\nChina,CHN,2001,1.563\nChina,CHN,2002,1.566\nChina,CHN,2003,1.57\nChina,CHN,2004,1.605\nChina,CHN,2005,1.624\nChina,CHN,2006,1.644\nChina,CHN,2007,1.666\nChina,CHN,2008,1.701\nChina,CHN,2009,1.714\nChina,CHN,2010,1.687\nChina,CHN,2011,1.668\nChina,CHN,2012,1.798\nChina,CHN,2013,1.714\nChina,CHN,2014,1.769\nChina,CHN,2015,1.67\nChina,CHN,2016,1.772\nChina,CHN,2017,1.795\nChina,CHN,2018,1.539\nChina,CHN,2019,1.496\nChina,CHN,2020,1.236\nChina,CHN,2021,1.117\nChina,CHN,2022,1.034\nChina,CHN,2023,0.999\n```\n\nHow much did fertility rate (estimates) change for China between 1990 and 2023?","response":"It moved from 2.51 live births per woman in 1990 to 1 live births per woman in 2023, a change of -1.51 live births per woman (-60.26%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nChina,CHN,1990,2.514\nChina,CHN,1991,1.934\nChina,CHN,1992,1.776\nChina,CHN,1993,1.691\nChina,CHN,1994,1.628\nChina,CHN,1995,1.588\nChina,CHN,1996,1.554\nChina,CHN,1997,1.527\nChina,CHN,1998,1.522\nChina,CHN,1999,1.53\nChina,CHN,2000,1.628\nChina,CHN,2001,1.563\nChina,CHN,2002,1.566\nChina,CHN,2003,1.57\nChina,CHN,2004,1.605\nChina,CHN,2005,1.624\nChina,CHN,2006,1.644\nChina,CHN,2007,1.666\nChina,CHN,2008,1.701\nChina,CHN,2009,1.714\nChina,CHN,2010,1.687\nChina,CHN,2011,1.668\nChina,CHN,2012,1.798\nChina,CHN,2013,1.714\nChina,CHN,2014,1.769\nChina,CHN,2015,1.67\nChina,CHN,2016,1.772\nChina,CHN,2017,1.795\nChina,CHN,2018,1.539\nChina,CHN,2019,1.496\nChina,CHN,2020,1.236\nChina,CHN,2021,1.117\nChina,CHN,2022,1.034\nChina,CHN,2023,0.999\n```\n\nWas fertility rate (estimates) in China higher in 2003 or 2008?","response":"Higher in 2008. The chart gives 1.57 live births per woman for 2003 and 1.7 live births per woman for 2008, a difference of 0.13 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nChina,CHN,1990,2.514\nChina,CHN,1991,1.934\nChina,CHN,1992,1.776\nChina,CHN,1993,1.691\nChina,CHN,1994,1.628\nChina,CHN,1995,1.588\nChina,CHN,1996,1.554\nChina,CHN,1997,1.527\nChina,CHN,1998,1.522\nChina,CHN,1999,1.53\nChina,CHN,2000,1.628\nChina,CHN,2001,1.563\nChina,CHN,2002,1.566\nChina,CHN,2003,1.57\nChina,CHN,2004,1.605\nChina,CHN,2005,1.624\nChina,CHN,2006,1.644\nChina,CHN,2007,1.666\nChina,CHN,2008,1.701\nChina,CHN,2009,1.714\nChina,CHN,2010,1.687\nChina,CHN,2011,1.668\nChina,CHN,2012,1.798\nChina,CHN,2013,1.714\nChina,CHN,2014,1.769\nChina,CHN,2015,1.67\nChina,CHN,2016,1.772\nChina,CHN,2017,1.795\nChina,CHN,2018,1.539\nChina,CHN,2019,1.496\nChina,CHN,2020,1.236\nChina,CHN,2021,1.117\nChina,CHN,2022,1.034\nChina,CHN,2023,0.999\n```\n\nThis chart makes the change in fertility rate (estimates) for China look dramatic. Is it?","response":"The values change by -60.26%, from 2.51 live births per woman to 1 live births per woman. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nChina,CHN,2001,1.563\nChina,CHN,2002,1.566\nChina,CHN,2003,1.57\nChina,CHN,2004,1.605\nChina,CHN,2005,1.624\nChina,CHN,2006,1.644\nChina,CHN,2007,1.666\nChina,CHN,2008,1.701\nChina,CHN,2009,1.714\n```\n\nWhat does this chart suggest about the long-run direction of fertility rate (estimates) in China?","response":"Within the window shown (2001-2009) the series moves +9.66%, but that window runs against the longer record. Across the full series (1990-2023) the change is -60.26%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nChina,CHN,1990,2.514\nChina,CHN,1991,1.934\nChina,CHN,1992,1.776\nChina,CHN,1993,1.691\nChina,CHN,1994,1.628\nChina,CHN,1995,1.588\nChina,CHN,1996,1.554\nChina,CHN,1997,1.527\nChina,CHN,1998,1.522\nChina,CHN,1999,1.53\nChina,CHN,2000,1.628\nChina,CHN,2001,1.563\nChina,CHN,2002,1.566\nChina,CHN,2003,1.57\nChina,CHN,2004,1.605\nChina,CHN,2005,1.624\nChina,CHN,2006,1.644\nChina,CHN,2007,1.666\nChina,CHN,2008,1.701\nChina,CHN,2009,1.714\nChina,CHN,2010,1.687\nChina,CHN,2011,1.668\nChina,CHN,2012,1.798\nChina,CHN,2013,1.714\nChina,CHN,2014,1.769\nChina,CHN,2015,1.67\nChina,CHN,2016,1.772\nChina,CHN,2017,1.795\nChina,CHN,2018,1.539\nChina,CHN,2019,1.496\nChina,CHN,2020,1.236\nChina,CHN,2021,1.117\nChina,CHN,2022,1.034\nChina,CHN,2023,0.999\n```\n\nWhat caused the change in fertility rate (estimates) for China around 1991?","response":"The chart shows that the change happened: fertility rate (estimates) moves to 1.93 live births per woman in 1991. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__China__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nBrazil,BRA,1990,2.896\nBrazil,BRA,1991,2.805\nBrazil,BRA,1992,2.71\nBrazil,BRA,1993,2.66\nBrazil,BRA,1994,2.603\nBrazil,BRA,1995,2.567\nBrazil,BRA,1996,2.511\nBrazil,BRA,1997,2.468\nBrazil,BRA,1998,2.418\nBrazil,BRA,1999,2.335\nBrazil,BRA,2000,2.247\nBrazil,BRA,2001,2.162\nBrazil,BRA,2002,2.081\nBrazil,BRA,2003,2.006\nBrazil,BRA,2004,1.973\nBrazil,BRA,2005,1.942\nBrazil,BRA,2006,1.896\nBrazil,BRA,2007,1.854\nBrazil,BRA,2008,1.815\nBrazil,BRA,2009,1.799\nBrazil,BRA,2010,1.786\nBrazil,BRA,2011,1.777\nBrazil,BRA,2012,1.766\nBrazil,BRA,2013,1.761\nBrazil,BRA,2014,1.775\nBrazil,BRA,2015,1.777\nBrazil,BRA,2016,1.727\nBrazil,BRA,2017,1.74\nBrazil,BRA,2018,1.744\nBrazil,BRA,2019,1.705\nBrazil,BRA,2020,1.653\nBrazil,BRA,2021,1.638\nBrazil,BRA,2022,1.629\nBrazil,BRA,2023,1.619\n```\n\nAccording to this chart, what was fertility rate (estimates) in Brazil in 2020?","response":"Reading the plotted point for 2020, fertility rate (estimates) in Brazil was 1.65 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nBrazil,BRA,1990,2.896\nBrazil,BRA,1991,2.805\nBrazil,BRA,1992,2.71\nBrazil,BRA,1993,2.66\nBrazil,BRA,1994,2.603\nBrazil,BRA,1995,2.567\nBrazil,BRA,1996,2.511\nBrazil,BRA,1997,2.468\nBrazil,BRA,1998,2.418\nBrazil,BRA,1999,2.335\nBrazil,BRA,2000,2.247\nBrazil,BRA,2001,2.162\nBrazil,BRA,2002,2.081\nBrazil,BRA,2003,2.006\nBrazil,BRA,2004,1.973\nBrazil,BRA,2005,1.942\nBrazil,BRA,2006,1.896\nBrazil,BRA,2007,1.854\nBrazil,BRA,2008,1.815\nBrazil,BRA,2009,1.799\nBrazil,BRA,2010,1.786\nBrazil,BRA,2011,1.777\nBrazil,BRA,2012,1.766\nBrazil,BRA,2013,1.761\nBrazil,BRA,2014,1.775\nBrazil,BRA,2015,1.777\nBrazil,BRA,2016,1.727\nBrazil,BRA,2017,1.74\nBrazil,BRA,2018,1.744\nBrazil,BRA,2019,1.705\nBrazil,BRA,2020,1.653\nBrazil,BRA,2021,1.638\nBrazil,BRA,2022,1.629\nBrazil,BRA,2023,1.619\n```\n\nIn which year shown does fertility rate (estimates) reach its highest value for Brazil?","response":"The series peaks in 1990, at 2.9 live births per woman. The lowest point shown is 2023, at 1.62 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nBrazil,BRA,1990,2.896\nBrazil,BRA,1991,2.805\nBrazil,BRA,1992,2.71\nBrazil,BRA,1993,2.66\nBrazil,BRA,1994,2.603\nBrazil,BRA,1995,2.567\nBrazil,BRA,1996,2.511\nBrazil,BRA,1997,2.468\nBrazil,BRA,1998,2.418\nBrazil,BRA,1999,2.335\nBrazil,BRA,2000,2.247\nBrazil,BRA,2001,2.162\nBrazil,BRA,2002,2.081\nBrazil,BRA,2003,2.006\nBrazil,BRA,2004,1.973\nBrazil,BRA,2005,1.942\nBrazil,BRA,2006,1.896\nBrazil,BRA,2007,1.854\nBrazil,BRA,2008,1.815\nBrazil,BRA,2009,1.799\nBrazil,BRA,2010,1.786\nBrazil,BRA,2011,1.777\nBrazil,BRA,2012,1.766\nBrazil,BRA,2013,1.761\nBrazil,BRA,2014,1.775\nBrazil,BRA,2015,1.777\nBrazil,BRA,2016,1.727\nBrazil,BRA,2017,1.74\nBrazil,BRA,2018,1.744\nBrazil,BRA,2019,1.705\nBrazil,BRA,2020,1.653\nBrazil,BRA,2021,1.638\nBrazil,BRA,2022,1.629\nBrazil,BRA,2023,1.619\n```\n\nHow much did fertility rate (estimates) change for Brazil between 1990 and 2023?","response":"It moved from 2.9 live births per woman in 1990 to 1.62 live births per woman in 2023, a change of -1.28 live births per woman (-44.10%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nBrazil,BRA,1990,2.896\nBrazil,BRA,1991,2.805\nBrazil,BRA,1992,2.71\nBrazil,BRA,1993,2.66\nBrazil,BRA,1994,2.603\nBrazil,BRA,1995,2.567\nBrazil,BRA,1996,2.511\nBrazil,BRA,1997,2.468\nBrazil,BRA,1998,2.418\nBrazil,BRA,1999,2.335\nBrazil,BRA,2000,2.247\nBrazil,BRA,2001,2.162\nBrazil,BRA,2002,2.081\nBrazil,BRA,2003,2.006\nBrazil,BRA,2004,1.973\nBrazil,BRA,2005,1.942\nBrazil,BRA,2006,1.896\nBrazil,BRA,2007,1.854\nBrazil,BRA,2008,1.815\nBrazil,BRA,2009,1.799\nBrazil,BRA,2010,1.786\nBrazil,BRA,2011,1.777\nBrazil,BRA,2012,1.766\nBrazil,BRA,2013,1.761\nBrazil,BRA,2014,1.775\nBrazil,BRA,2015,1.777\nBrazil,BRA,2016,1.727\nBrazil,BRA,2017,1.74\nBrazil,BRA,2018,1.744\nBrazil,BRA,2019,1.705\nBrazil,BRA,2020,1.653\nBrazil,BRA,2021,1.638\nBrazil,BRA,2022,1.629\nBrazil,BRA,2023,1.619\n```\n\nWas fertility rate (estimates) in Brazil higher in 2003 or 2022?","response":"Higher in 2003. The chart gives 2.01 live births per woman for 2003 and 1.63 live births per woman for 2022, a difference of 0.38 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nBrazil,BRA,1990,2.896\nBrazil,BRA,1991,2.805\nBrazil,BRA,1992,2.71\nBrazil,BRA,1993,2.66\nBrazil,BRA,1994,2.603\nBrazil,BRA,1995,2.567\nBrazil,BRA,1996,2.511\nBrazil,BRA,1997,2.468\nBrazil,BRA,1998,2.418\nBrazil,BRA,1999,2.335\nBrazil,BRA,2000,2.247\nBrazil,BRA,2001,2.162\nBrazil,BRA,2002,2.081\nBrazil,BRA,2003,2.006\nBrazil,BRA,2004,1.973\nBrazil,BRA,2005,1.942\nBrazil,BRA,2006,1.896\nBrazil,BRA,2007,1.854\nBrazil,BRA,2008,1.815\nBrazil,BRA,2009,1.799\nBrazil,BRA,2010,1.786\nBrazil,BRA,2011,1.777\nBrazil,BRA,2012,1.766\nBrazil,BRA,2013,1.761\nBrazil,BRA,2014,1.775\nBrazil,BRA,2015,1.777\nBrazil,BRA,2016,1.727\nBrazil,BRA,2017,1.74\nBrazil,BRA,2018,1.744\nBrazil,BRA,2019,1.705\nBrazil,BRA,2020,1.653\nBrazil,BRA,2021,1.638\nBrazil,BRA,2022,1.629\nBrazil,BRA,2023,1.619\n```\n\nAccording to this chart, what was fertility rate (estimates) in Brazil in 2020?","response":"Reading the plotted point for 2020, fertility rate (estimates) in Brazil was 1.65 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nBrazil,BRA,1990,2.896\nBrazil,BRA,1991,2.805\nBrazil,BRA,1992,2.71\nBrazil,BRA,1993,2.66\nBrazil,BRA,1994,2.603\nBrazil,BRA,1995,2.567\nBrazil,BRA,1996,2.511\nBrazil,BRA,1997,2.468\nBrazil,BRA,1998,2.418\nBrazil,BRA,1999,2.335\nBrazil,BRA,2000,2.247\nBrazil,BRA,2001,2.162\nBrazil,BRA,2002,2.081\nBrazil,BRA,2003,2.006\nBrazil,BRA,2004,1.973\nBrazil,BRA,2005,1.942\nBrazil,BRA,2006,1.896\nBrazil,BRA,2007,1.854\nBrazil,BRA,2008,1.815\nBrazil,BRA,2009,1.799\nBrazil,BRA,2010,1.786\nBrazil,BRA,2011,1.777\nBrazil,BRA,2012,1.766\nBrazil,BRA,2013,1.761\nBrazil,BRA,2014,1.775\nBrazil,BRA,2015,1.777\nBrazil,BRA,2016,1.727\nBrazil,BRA,2017,1.74\nBrazil,BRA,2018,1.744\nBrazil,BRA,2019,1.705\nBrazil,BRA,2020,1.653\nBrazil,BRA,2021,1.638\nBrazil,BRA,2022,1.629\nBrazil,BRA,2023,1.619\n```\n\nIn which year shown does fertility rate (estimates) reach its highest value for Brazil?","response":"The series peaks in 1990, at 2.9 live births per woman. The lowest point shown is 2023, at 1.62 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nBrazil,BRA,1990,2.896\nBrazil,BRA,1991,2.805\nBrazil,BRA,1992,2.71\nBrazil,BRA,1993,2.66\nBrazil,BRA,1994,2.603\nBrazil,BRA,1995,2.567\nBrazil,BRA,1996,2.511\nBrazil,BRA,1997,2.468\nBrazil,BRA,1998,2.418\nBrazil,BRA,1999,2.335\nBrazil,BRA,2000,2.247\nBrazil,BRA,2001,2.162\nBrazil,BRA,2002,2.081\nBrazil,BRA,2003,2.006\nBrazil,BRA,2004,1.973\nBrazil,BRA,2005,1.942\nBrazil,BRA,2006,1.896\nBrazil,BRA,2007,1.854\nBrazil,BRA,2008,1.815\nBrazil,BRA,2009,1.799\nBrazil,BRA,2010,1.786\nBrazil,BRA,2011,1.777\nBrazil,BRA,2012,1.766\nBrazil,BRA,2013,1.761\nBrazil,BRA,2014,1.775\nBrazil,BRA,2015,1.777\nBrazil,BRA,2016,1.727\nBrazil,BRA,2017,1.74\nBrazil,BRA,2018,1.744\nBrazil,BRA,2019,1.705\nBrazil,BRA,2020,1.653\nBrazil,BRA,2021,1.638\nBrazil,BRA,2022,1.629\nBrazil,BRA,2023,1.619\n```\n\nHow much did fertility rate (estimates) change for Brazil between 1990 and 2023?","response":"It moved from 2.9 live births per woman in 1990 to 1.62 live births per woman in 2023, a change of -1.28 live births per woman (-44.10%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nBrazil,BRA,1990,2.896\nBrazil,BRA,1991,2.805\nBrazil,BRA,1992,2.71\nBrazil,BRA,1993,2.66\nBrazil,BRA,1994,2.603\nBrazil,BRA,1995,2.567\nBrazil,BRA,1996,2.511\nBrazil,BRA,1997,2.468\nBrazil,BRA,1998,2.418\nBrazil,BRA,1999,2.335\nBrazil,BRA,2000,2.247\nBrazil,BRA,2001,2.162\nBrazil,BRA,2002,2.081\nBrazil,BRA,2003,2.006\nBrazil,BRA,2004,1.973\nBrazil,BRA,2005,1.942\nBrazil,BRA,2006,1.896\nBrazil,BRA,2007,1.854\nBrazil,BRA,2008,1.815\nBrazil,BRA,2009,1.799\nBrazil,BRA,2010,1.786\nBrazil,BRA,2011,1.777\nBrazil,BRA,2012,1.766\nBrazil,BRA,2013,1.761\nBrazil,BRA,2014,1.775\nBrazil,BRA,2015,1.777\nBrazil,BRA,2016,1.727\nBrazil,BRA,2017,1.74\nBrazil,BRA,2018,1.744\nBrazil,BRA,2019,1.705\nBrazil,BRA,2020,1.653\nBrazil,BRA,2021,1.638\nBrazil,BRA,2022,1.629\nBrazil,BRA,2023,1.619\n```\n\nWas fertility rate (estimates) in Brazil higher in 2003 or 2022?","response":"Higher in 2003. The chart gives 2.01 live births per woman for 2003 and 1.63 live births per woman for 2022, a difference of 0.38 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nBrazil,BRA,1990,2.896\nBrazil,BRA,1991,2.805\nBrazil,BRA,1992,2.71\nBrazil,BRA,1993,2.66\nBrazil,BRA,1994,2.603\nBrazil,BRA,1995,2.567\nBrazil,BRA,1996,2.511\nBrazil,BRA,1997,2.468\nBrazil,BRA,1998,2.418\nBrazil,BRA,1999,2.335\nBrazil,BRA,2000,2.247\nBrazil,BRA,2001,2.162\nBrazil,BRA,2002,2.081\nBrazil,BRA,2003,2.006\nBrazil,BRA,2004,1.973\nBrazil,BRA,2005,1.942\nBrazil,BRA,2006,1.896\nBrazil,BRA,2007,1.854\nBrazil,BRA,2008,1.815\nBrazil,BRA,2009,1.799\nBrazil,BRA,2010,1.786\nBrazil,BRA,2011,1.777\nBrazil,BRA,2012,1.766\nBrazil,BRA,2013,1.761\nBrazil,BRA,2014,1.775\nBrazil,BRA,2015,1.777\nBrazil,BRA,2016,1.727\nBrazil,BRA,2017,1.74\nBrazil,BRA,2018,1.744\nBrazil,BRA,2019,1.705\nBrazil,BRA,2020,1.653\nBrazil,BRA,2021,1.638\nBrazil,BRA,2022,1.629\nBrazil,BRA,2023,1.619\n```\n\nBased on this chart, is fertility rate (estimates) in Brazil rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2.9 live births per woman to 1.62 live births per woman, a change of -44.10%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nBrazil,BRA,1990,2.896\nBrazil,BRA,1991,2.805\nBrazil,BRA,1992,2.71\nBrazil,BRA,1993,2.66\nBrazil,BRA,1994,2.603\nBrazil,BRA,1995,2.567\nBrazil,BRA,1996,2.511\nBrazil,BRA,1997,2.468\nBrazil,BRA,1998,2.418\nBrazil,BRA,1999,2.335\nBrazil,BRA,2000,2.247\nBrazil,BRA,2001,2.162\nBrazil,BRA,2002,2.081\nBrazil,BRA,2003,2.006\nBrazil,BRA,2004,1.973\nBrazil,BRA,2005,1.942\nBrazil,BRA,2006,1.896\nBrazil,BRA,2007,1.854\nBrazil,BRA,2008,1.815\nBrazil,BRA,2009,1.799\nBrazil,BRA,2010,1.786\nBrazil,BRA,2011,1.777\nBrazil,BRA,2012,1.766\nBrazil,BRA,2013,1.761\nBrazil,BRA,2014,1.775\nBrazil,BRA,2015,1.777\nBrazil,BRA,2016,1.727\nBrazil,BRA,2017,1.74\nBrazil,BRA,2018,1.744\nBrazil,BRA,2019,1.705\nBrazil,BRA,2020,1.653\nBrazil,BRA,2021,1.638\nBrazil,BRA,2022,1.629\nBrazil,BRA,2023,1.619\n```\n\nThis chart makes the change in fertility rate (estimates) for Brazil look dramatic. Is it?","response":"The values change by -44.10%, from 2.9 live births per woman to 1.62 live births per woman. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nBrazil,BRA,1990,2.896\nBrazil,BRA,1991,2.805\nBrazil,BRA,1992,2.71\nBrazil,BRA,1993,2.66\nBrazil,BRA,1994,2.603\nBrazil,BRA,1995,2.567\nBrazil,BRA,1996,2.511\nBrazil,BRA,1997,2.468\nBrazil,BRA,1998,2.418\nBrazil,BRA,1999,2.335\nBrazil,BRA,2000,2.247\nBrazil,BRA,2001,2.162\nBrazil,BRA,2002,2.081\nBrazil,BRA,2003,2.006\nBrazil,BRA,2004,1.973\nBrazil,BRA,2005,1.942\nBrazil,BRA,2006,1.896\nBrazil,BRA,2007,1.854\nBrazil,BRA,2008,1.815\nBrazil,BRA,2009,1.799\nBrazil,BRA,2010,1.786\nBrazil,BRA,2011,1.777\nBrazil,BRA,2012,1.766\nBrazil,BRA,2013,1.761\nBrazil,BRA,2014,1.775\nBrazil,BRA,2015,1.777\nBrazil,BRA,2016,1.727\nBrazil,BRA,2017,1.74\nBrazil,BRA,2018,1.744\nBrazil,BRA,2019,1.705\nBrazil,BRA,2020,1.653\nBrazil,BRA,2021,1.638\nBrazil,BRA,2022,1.629\nBrazil,BRA,2023,1.619\n```\n\nWhat was fertility rate (estimates) for Brazil in 1975?","response":"That year is outside this chart. The series runs 1990 to 2023, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 2.9 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Brazil__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nNigeria,NGA,1990,6.459\nNigeria,NGA,1991,6.426\nNigeria,NGA,1992,6.391\nNigeria,NGA,1993,6.354\nNigeria,NGA,1994,6.319\nNigeria,NGA,1995,6.273\nNigeria,NGA,1996,6.217\nNigeria,NGA,1997,6.138\nNigeria,NGA,1998,6.069\nNigeria,NGA,1999,6.082\nNigeria,NGA,2000,6.124\nNigeria,NGA,2001,6.128\nNigeria,NGA,2002,6.116\nNigeria,NGA,2003,6.1\nNigeria,NGA,2004,6.09\nNigeria,NGA,2005,6.063\nNigeria,NGA,2006,6.053\nNigeria,NGA,2007,6.027\nNigeria,NGA,2008,6.024\nNigeria,NGA,2009,5.993\nNigeria,NGA,2010,5.948\nNigeria,NGA,2011,5.893\nNigeria,NGA,2012,5.797\nNigeria,NGA,2013,5.694\nNigeria,NGA,2014,5.622\nNigeria,NGA,2015,5.503\nNigeria,NGA,2016,5.343\nNigeria,NGA,2017,5.182\nNigeria,NGA,2018,5.021\nNigeria,NGA,2019,4.861\nNigeria,NGA,2020,4.7\nNigeria,NGA,2021,4.636\nNigeria,NGA,2022,4.552\nNigeria,NGA,2023,4.482\n```\n\nAccording to this chart, what was fertility rate (estimates) in Nigeria in 2015?","response":"Reading the plotted point for 2015, fertility rate (estimates) in Nigeria was 5.5 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nNigeria,NGA,1990,6.459\nNigeria,NGA,1991,6.426\nNigeria,NGA,1992,6.391\nNigeria,NGA,1993,6.354\nNigeria,NGA,1994,6.319\nNigeria,NGA,1995,6.273\nNigeria,NGA,1996,6.217\nNigeria,NGA,1997,6.138\nNigeria,NGA,1998,6.069\nNigeria,NGA,1999,6.082\nNigeria,NGA,2000,6.124\nNigeria,NGA,2001,6.128\nNigeria,NGA,2002,6.116\nNigeria,NGA,2003,6.1\nNigeria,NGA,2004,6.09\nNigeria,NGA,2005,6.063\nNigeria,NGA,2006,6.053\nNigeria,NGA,2007,6.027\nNigeria,NGA,2008,6.024\nNigeria,NGA,2009,5.993\nNigeria,NGA,2010,5.948\nNigeria,NGA,2011,5.893\nNigeria,NGA,2012,5.797\nNigeria,NGA,2013,5.694\nNigeria,NGA,2014,5.622\nNigeria,NGA,2015,5.503\nNigeria,NGA,2016,5.343\nNigeria,NGA,2017,5.182\nNigeria,NGA,2018,5.021\nNigeria,NGA,2019,4.861\nNigeria,NGA,2020,4.7\nNigeria,NGA,2021,4.636\nNigeria,NGA,2022,4.552\nNigeria,NGA,2023,4.482\n```\n\nIn which year shown does fertility rate (estimates) reach its highest value for Nigeria?","response":"The series peaks in 1990, at 6.46 live births per woman. The lowest point shown is 2023, at 4.48 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nNigeria,NGA,1990,6.459\nNigeria,NGA,1991,6.426\nNigeria,NGA,1992,6.391\nNigeria,NGA,1993,6.354\nNigeria,NGA,1994,6.319\nNigeria,NGA,1995,6.273\nNigeria,NGA,1996,6.217\nNigeria,NGA,1997,6.138\nNigeria,NGA,1998,6.069\nNigeria,NGA,1999,6.082\nNigeria,NGA,2000,6.124\nNigeria,NGA,2001,6.128\nNigeria,NGA,2002,6.116\nNigeria,NGA,2003,6.1\nNigeria,NGA,2004,6.09\nNigeria,NGA,2005,6.063\nNigeria,NGA,2006,6.053\nNigeria,NGA,2007,6.027\nNigeria,NGA,2008,6.024\nNigeria,NGA,2009,5.993\nNigeria,NGA,2010,5.948\nNigeria,NGA,2011,5.893\nNigeria,NGA,2012,5.797\nNigeria,NGA,2013,5.694\nNigeria,NGA,2014,5.622\nNigeria,NGA,2015,5.503\nNigeria,NGA,2016,5.343\nNigeria,NGA,2017,5.182\nNigeria,NGA,2018,5.021\nNigeria,NGA,2019,4.861\nNigeria,NGA,2020,4.7\nNigeria,NGA,2021,4.636\nNigeria,NGA,2022,4.552\nNigeria,NGA,2023,4.482\n```\n\nHow much did fertility rate (estimates) change for Nigeria between 1990 and 2023?","response":"It moved from 6.46 live births per woman in 1990 to 4.48 live births per woman in 2023, a change of -1.98 live births per woman (-30.61%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nNigeria,NGA,1990,6.459\nNigeria,NGA,1991,6.426\nNigeria,NGA,1992,6.391\nNigeria,NGA,1993,6.354\nNigeria,NGA,1994,6.319\nNigeria,NGA,1995,6.273\nNigeria,NGA,1996,6.217\nNigeria,NGA,1997,6.138\nNigeria,NGA,1998,6.069\nNigeria,NGA,1999,6.082\nNigeria,NGA,2000,6.124\nNigeria,NGA,2001,6.128\nNigeria,NGA,2002,6.116\nNigeria,NGA,2003,6.1\nNigeria,NGA,2004,6.09\nNigeria,NGA,2005,6.063\nNigeria,NGA,2006,6.053\nNigeria,NGA,2007,6.027\nNigeria,NGA,2008,6.024\nNigeria,NGA,2009,5.993\nNigeria,NGA,2010,5.948\nNigeria,NGA,2011,5.893\nNigeria,NGA,2012,5.797\nNigeria,NGA,2013,5.694\nNigeria,NGA,2014,5.622\nNigeria,NGA,2015,5.503\nNigeria,NGA,2016,5.343\nNigeria,NGA,2017,5.182\nNigeria,NGA,2018,5.021\nNigeria,NGA,2019,4.861\nNigeria,NGA,2020,4.7\nNigeria,NGA,2021,4.636\nNigeria,NGA,2022,4.552\nNigeria,NGA,2023,4.482\n```\n\nWas fertility rate (estimates) in Nigeria higher in 1991 or 2021?","response":"Higher in 1991. The chart gives 6.43 live births per woman for 1991 and 4.64 live births per woman for 2021, a difference of 1.79 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nNigeria,NGA,1990,6.459\nNigeria,NGA,1991,6.426\nNigeria,NGA,1992,6.391\nNigeria,NGA,1993,6.354\nNigeria,NGA,1994,6.319\nNigeria,NGA,1995,6.273\nNigeria,NGA,1996,6.217\nNigeria,NGA,1997,6.138\nNigeria,NGA,1998,6.069\nNigeria,NGA,1999,6.082\nNigeria,NGA,2000,6.124\nNigeria,NGA,2001,6.128\nNigeria,NGA,2002,6.116\nNigeria,NGA,2003,6.1\nNigeria,NGA,2004,6.09\nNigeria,NGA,2005,6.063\nNigeria,NGA,2006,6.053\nNigeria,NGA,2007,6.027\nNigeria,NGA,2008,6.024\nNigeria,NGA,2009,5.993\nNigeria,NGA,2010,5.948\nNigeria,NGA,2011,5.893\nNigeria,NGA,2012,5.797\nNigeria,NGA,2013,5.694\nNigeria,NGA,2014,5.622\nNigeria,NGA,2015,5.503\nNigeria,NGA,2016,5.343\nNigeria,NGA,2017,5.182\nNigeria,NGA,2018,5.021\nNigeria,NGA,2019,4.861\nNigeria,NGA,2020,4.7\nNigeria,NGA,2021,4.636\nNigeria,NGA,2022,4.552\nNigeria,NGA,2023,4.482\n```\n\nAccording to this chart, what was fertility rate (estimates) in Nigeria in 2015?","response":"Reading the plotted point for 2015, fertility rate (estimates) in Nigeria was 5.5 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nNigeria,NGA,1990,6.459\nNigeria,NGA,1991,6.426\nNigeria,NGA,1992,6.391\nNigeria,NGA,1993,6.354\nNigeria,NGA,1994,6.319\nNigeria,NGA,1995,6.273\nNigeria,NGA,1996,6.217\nNigeria,NGA,1997,6.138\nNigeria,NGA,1998,6.069\nNigeria,NGA,1999,6.082\nNigeria,NGA,2000,6.124\nNigeria,NGA,2001,6.128\nNigeria,NGA,2002,6.116\nNigeria,NGA,2003,6.1\nNigeria,NGA,2004,6.09\nNigeria,NGA,2005,6.063\nNigeria,NGA,2006,6.053\nNigeria,NGA,2007,6.027\nNigeria,NGA,2008,6.024\nNigeria,NGA,2009,5.993\nNigeria,NGA,2010,5.948\nNigeria,NGA,2011,5.893\nNigeria,NGA,2012,5.797\nNigeria,NGA,2013,5.694\nNigeria,NGA,2014,5.622\nNigeria,NGA,2015,5.503\nNigeria,NGA,2016,5.343\nNigeria,NGA,2017,5.182\nNigeria,NGA,2018,5.021\nNigeria,NGA,2019,4.861\nNigeria,NGA,2020,4.7\nNigeria,NGA,2021,4.636\nNigeria,NGA,2022,4.552\nNigeria,NGA,2023,4.482\n```\n\nIn which year shown does fertility rate (estimates) reach its highest value for Nigeria?","response":"The series peaks in 1990, at 6.46 live births per woman. The lowest point shown is 2023, at 4.48 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nNigeria,NGA,1990,6.459\nNigeria,NGA,1991,6.426\nNigeria,NGA,1992,6.391\nNigeria,NGA,1993,6.354\nNigeria,NGA,1994,6.319\nNigeria,NGA,1995,6.273\nNigeria,NGA,1996,6.217\nNigeria,NGA,1997,6.138\nNigeria,NGA,1998,6.069\nNigeria,NGA,1999,6.082\nNigeria,NGA,2000,6.124\nNigeria,NGA,2001,6.128\nNigeria,NGA,2002,6.116\nNigeria,NGA,2003,6.1\nNigeria,NGA,2004,6.09\nNigeria,NGA,2005,6.063\nNigeria,NGA,2006,6.053\nNigeria,NGA,2007,6.027\nNigeria,NGA,2008,6.024\nNigeria,NGA,2009,5.993\nNigeria,NGA,2010,5.948\nNigeria,NGA,2011,5.893\nNigeria,NGA,2012,5.797\nNigeria,NGA,2013,5.694\nNigeria,NGA,2014,5.622\nNigeria,NGA,2015,5.503\nNigeria,NGA,2016,5.343\nNigeria,NGA,2017,5.182\nNigeria,NGA,2018,5.021\nNigeria,NGA,2019,4.861\nNigeria,NGA,2020,4.7\nNigeria,NGA,2021,4.636\nNigeria,NGA,2022,4.552\nNigeria,NGA,2023,4.482\n```\n\nHow much did fertility rate (estimates) change for Nigeria between 1990 and 2023?","response":"It moved from 6.46 live births per woman in 1990 to 4.48 live births per woman in 2023, a change of -1.98 live births per woman (-30.61%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nNigeria,NGA,1990,6.459\nNigeria,NGA,1991,6.426\nNigeria,NGA,1992,6.391\nNigeria,NGA,1993,6.354\nNigeria,NGA,1994,6.319\nNigeria,NGA,1995,6.273\nNigeria,NGA,1996,6.217\nNigeria,NGA,1997,6.138\nNigeria,NGA,1998,6.069\nNigeria,NGA,1999,6.082\nNigeria,NGA,2000,6.124\nNigeria,NGA,2001,6.128\nNigeria,NGA,2002,6.116\nNigeria,NGA,2003,6.1\nNigeria,NGA,2004,6.09\nNigeria,NGA,2005,6.063\nNigeria,NGA,2006,6.053\nNigeria,NGA,2007,6.027\nNigeria,NGA,2008,6.024\nNigeria,NGA,2009,5.993\nNigeria,NGA,2010,5.948\nNigeria,NGA,2011,5.893\nNigeria,NGA,2012,5.797\nNigeria,NGA,2013,5.694\nNigeria,NGA,2014,5.622\nNigeria,NGA,2015,5.503\nNigeria,NGA,2016,5.343\nNigeria,NGA,2017,5.182\nNigeria,NGA,2018,5.021\nNigeria,NGA,2019,4.861\nNigeria,NGA,2020,4.7\nNigeria,NGA,2021,4.636\nNigeria,NGA,2022,4.552\nNigeria,NGA,2023,4.482\n```\n\nWas fertility rate (estimates) in Nigeria higher in 1991 or 2021?","response":"Higher in 1991. The chart gives 6.43 live births per woman for 1991 and 4.64 live births per woman for 2021, a difference of 1.79 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nNigeria,NGA,1990,6.459\nNigeria,NGA,1991,6.426\nNigeria,NGA,1992,6.391\nNigeria,NGA,1993,6.354\nNigeria,NGA,1994,6.319\nNigeria,NGA,1995,6.273\nNigeria,NGA,1996,6.217\nNigeria,NGA,1997,6.138\nNigeria,NGA,1998,6.069\nNigeria,NGA,1999,6.082\nNigeria,NGA,2000,6.124\nNigeria,NGA,2001,6.128\nNigeria,NGA,2002,6.116\nNigeria,NGA,2003,6.1\nNigeria,NGA,2004,6.09\nNigeria,NGA,2005,6.063\nNigeria,NGA,2006,6.053\nNigeria,NGA,2007,6.027\nNigeria,NGA,2008,6.024\nNigeria,NGA,2009,5.993\nNigeria,NGA,2010,5.948\nNigeria,NGA,2011,5.893\nNigeria,NGA,2012,5.797\nNigeria,NGA,2013,5.694\nNigeria,NGA,2014,5.622\nNigeria,NGA,2015,5.503\nNigeria,NGA,2016,5.343\nNigeria,NGA,2017,5.182\nNigeria,NGA,2018,5.021\nNigeria,NGA,2019,4.861\nNigeria,NGA,2020,4.7\nNigeria,NGA,2021,4.636\nNigeria,NGA,2022,4.552\nNigeria,NGA,2023,4.482\n```\n\nThis chart appears to show fertility rate (estimates) in Nigeria rising steeply. How large is the increase actually?","response":"The plotted values run from 6.46 live births per woman to 4.48 live births per woman, so the actual change is -30.61%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 4.3079 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nNigeria,NGA,1990,6.459\nNigeria,NGA,1991,6.426\nNigeria,NGA,1992,6.391\nNigeria,NGA,1993,6.354\nNigeria,NGA,1994,6.319\nNigeria,NGA,1995,6.273\nNigeria,NGA,1996,6.217\nNigeria,NGA,1997,6.138\nNigeria,NGA,1998,6.069\nNigeria,NGA,1999,6.082\nNigeria,NGA,2000,6.124\nNigeria,NGA,2001,6.128\nNigeria,NGA,2002,6.116\nNigeria,NGA,2003,6.1\nNigeria,NGA,2004,6.09\nNigeria,NGA,2005,6.063\nNigeria,NGA,2006,6.053\nNigeria,NGA,2007,6.027\nNigeria,NGA,2008,6.024\nNigeria,NGA,2009,5.993\nNigeria,NGA,2010,5.948\nNigeria,NGA,2011,5.893\nNigeria,NGA,2012,5.797\nNigeria,NGA,2013,5.694\nNigeria,NGA,2014,5.622\nNigeria,NGA,2015,5.503\nNigeria,NGA,2016,5.343\nNigeria,NGA,2017,5.182\nNigeria,NGA,2018,5.021\nNigeria,NGA,2019,4.861\nNigeria,NGA,2020,4.7\nNigeria,NGA,2021,4.636\nNigeria,NGA,2022,4.552\nNigeria,NGA,2023,4.482\n```\n\nBased on this chart, is fertility rate (estimates) in Nigeria rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 6.46 live births per woman to 4.48 live births per woman, a change of -30.61%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nNigeria,NGA,1990,6.459\nNigeria,NGA,1991,6.426\nNigeria,NGA,1992,6.391\nNigeria,NGA,1993,6.354\nNigeria,NGA,1994,6.319\nNigeria,NGA,1995,6.273\nNigeria,NGA,1996,6.217\nNigeria,NGA,1997,6.138\nNigeria,NGA,1998,6.069\nNigeria,NGA,1999,6.082\nNigeria,NGA,2000,6.124\nNigeria,NGA,2001,6.128\nNigeria,NGA,2002,6.116\nNigeria,NGA,2003,6.1\nNigeria,NGA,2004,6.09\nNigeria,NGA,2005,6.063\nNigeria,NGA,2006,6.053\nNigeria,NGA,2007,6.027\nNigeria,NGA,2008,6.024\nNigeria,NGA,2009,5.993\nNigeria,NGA,2010,5.948\nNigeria,NGA,2011,5.893\nNigeria,NGA,2012,5.797\nNigeria,NGA,2013,5.694\nNigeria,NGA,2014,5.622\nNigeria,NGA,2015,5.503\nNigeria,NGA,2016,5.343\nNigeria,NGA,2017,5.182\nNigeria,NGA,2018,5.021\nNigeria,NGA,2019,4.861\nNigeria,NGA,2020,4.7\nNigeria,NGA,2021,4.636\nNigeria,NGA,2022,4.552\nNigeria,NGA,2023,4.482\n```\n\nHow does Nigeria compare with Kenya on this measure?","response":"This chart covers Nigeria only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about Nigeria on its own: the series runs from 6.46 live births per woman in 1990 to 4.48 live births per woman in 2023.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Nigeria__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nJapan,JPN,1990,1.509\nJapan,JPN,1991,1.504\nJapan,JPN,1992,1.478\nJapan,JPN,1993,1.44\nJapan,JPN,1994,1.468\nJapan,JPN,1995,1.407\nJapan,JPN,1996,1.403\nJapan,JPN,1997,1.376\nJapan,JPN,1998,1.371\nJapan,JPN,1999,1.34\nJapan,JPN,2000,1.346\nJapan,JPN,2001,1.325\nJapan,JPN,2002,1.308\nJapan,JPN,2003,1.285\nJapan,JPN,2004,1.277\nJapan,JPN,2005,1.245\nJapan,JPN,2006,1.285\nJapan,JPN,2007,1.305\nJapan,JPN,2008,1.33\nJapan,JPN,2009,1.333\nJapan,JPN,2010,1.357\nJapan,JPN,2011,1.363\nJapan,JPN,2012,1.376\nJapan,JPN,2013,1.389\nJapan,JPN,2014,1.388\nJapan,JPN,2015,1.415\nJapan,JPN,2016,1.408\nJapan,JPN,2017,1.39\nJapan,JPN,2018,1.373\nJapan,JPN,2019,1.323\nJapan,JPN,2020,1.304\nJapan,JPN,2021,1.275\nJapan,JPN,2022,1.256\nJapan,JPN,2023,1.208\n```\n\nAccording to this chart, what was fertility rate (estimates) in Japan in 2003?","response":"Reading the plotted point for 2003, fertility rate (estimates) in Japan was 1.28 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nJapan,JPN,1990,1.509\nJapan,JPN,1991,1.504\nJapan,JPN,1992,1.478\nJapan,JPN,1993,1.44\nJapan,JPN,1994,1.468\nJapan,JPN,1995,1.407\nJapan,JPN,1996,1.403\nJapan,JPN,1997,1.376\nJapan,JPN,1998,1.371\nJapan,JPN,1999,1.34\nJapan,JPN,2000,1.346\nJapan,JPN,2001,1.325\nJapan,JPN,2002,1.308\nJapan,JPN,2003,1.285\nJapan,JPN,2004,1.277\nJapan,JPN,2005,1.245\nJapan,JPN,2006,1.285\nJapan,JPN,2007,1.305\nJapan,JPN,2008,1.33\nJapan,JPN,2009,1.333\nJapan,JPN,2010,1.357\nJapan,JPN,2011,1.363\nJapan,JPN,2012,1.376\nJapan,JPN,2013,1.389\nJapan,JPN,2014,1.388\nJapan,JPN,2015,1.415\nJapan,JPN,2016,1.408\nJapan,JPN,2017,1.39\nJapan,JPN,2018,1.373\nJapan,JPN,2019,1.323\nJapan,JPN,2020,1.304\nJapan,JPN,2021,1.275\nJapan,JPN,2022,1.256\nJapan,JPN,2023,1.208\n```\n\nIn which year shown does fertility rate (estimates) reach its highest value for Japan?","response":"The series peaks in 1990, at 1.51 live births per woman. The lowest point shown is 2023, at 1.21 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nJapan,JPN,1990,1.509\nJapan,JPN,1991,1.504\nJapan,JPN,1992,1.478\nJapan,JPN,1993,1.44\nJapan,JPN,1994,1.468\nJapan,JPN,1995,1.407\nJapan,JPN,1996,1.403\nJapan,JPN,1997,1.376\nJapan,JPN,1998,1.371\nJapan,JPN,1999,1.34\nJapan,JPN,2000,1.346\nJapan,JPN,2001,1.325\nJapan,JPN,2002,1.308\nJapan,JPN,2003,1.285\nJapan,JPN,2004,1.277\nJapan,JPN,2005,1.245\nJapan,JPN,2006,1.285\nJapan,JPN,2007,1.305\nJapan,JPN,2008,1.33\nJapan,JPN,2009,1.333\nJapan,JPN,2010,1.357\nJapan,JPN,2011,1.363\nJapan,JPN,2012,1.376\nJapan,JPN,2013,1.389\nJapan,JPN,2014,1.388\nJapan,JPN,2015,1.415\nJapan,JPN,2016,1.408\nJapan,JPN,2017,1.39\nJapan,JPN,2018,1.373\nJapan,JPN,2019,1.323\nJapan,JPN,2020,1.304\nJapan,JPN,2021,1.275\nJapan,JPN,2022,1.256\nJapan,JPN,2023,1.208\n```\n\nHow much did fertility rate (estimates) change for Japan between 1990 and 2023?","response":"It moved from 1.51 live births per woman in 1990 to 1.21 live births per woman in 2023, a change of -0.3 live births per woman (-19.95%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nJapan,JPN,1990,1.509\nJapan,JPN,1991,1.504\nJapan,JPN,1992,1.478\nJapan,JPN,1993,1.44\nJapan,JPN,1994,1.468\nJapan,JPN,1995,1.407\nJapan,JPN,1996,1.403\nJapan,JPN,1997,1.376\nJapan,JPN,1998,1.371\nJapan,JPN,1999,1.34\nJapan,JPN,2000,1.346\nJapan,JPN,2001,1.325\nJapan,JPN,2002,1.308\nJapan,JPN,2003,1.285\nJapan,JPN,2004,1.277\nJapan,JPN,2005,1.245\nJapan,JPN,2006,1.285\nJapan,JPN,2007,1.305\nJapan,JPN,2008,1.33\nJapan,JPN,2009,1.333\nJapan,JPN,2010,1.357\nJapan,JPN,2011,1.363\nJapan,JPN,2012,1.376\nJapan,JPN,2013,1.389\nJapan,JPN,2014,1.388\nJapan,JPN,2015,1.415\nJapan,JPN,2016,1.408\nJapan,JPN,2017,1.39\nJapan,JPN,2018,1.373\nJapan,JPN,2019,1.323\nJapan,JPN,2020,1.304\nJapan,JPN,2021,1.275\nJapan,JPN,2022,1.256\nJapan,JPN,2023,1.208\n```\n\nWas fertility rate (estimates) in Japan higher in 1991 or 2007?","response":"Higher in 1991. The chart gives 1.5 live births per woman for 1991 and 1.3 live births per woman for 2007, a difference of 0.2 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nJapan,JPN,1990,1.509\nJapan,JPN,1991,1.504\nJapan,JPN,1992,1.478\nJapan,JPN,1993,1.44\nJapan,JPN,1994,1.468\nJapan,JPN,1995,1.407\nJapan,JPN,1996,1.403\nJapan,JPN,1997,1.376\nJapan,JPN,1998,1.371\nJapan,JPN,1999,1.34\nJapan,JPN,2000,1.346\nJapan,JPN,2001,1.325\nJapan,JPN,2002,1.308\nJapan,JPN,2003,1.285\nJapan,JPN,2004,1.277\nJapan,JPN,2005,1.245\nJapan,JPN,2006,1.285\nJapan,JPN,2007,1.305\nJapan,JPN,2008,1.33\nJapan,JPN,2009,1.333\nJapan,JPN,2010,1.357\nJapan,JPN,2011,1.363\nJapan,JPN,2012,1.376\nJapan,JPN,2013,1.389\nJapan,JPN,2014,1.388\nJapan,JPN,2015,1.415\nJapan,JPN,2016,1.408\nJapan,JPN,2017,1.39\nJapan,JPN,2018,1.373\nJapan,JPN,2019,1.323\nJapan,JPN,2020,1.304\nJapan,JPN,2021,1.275\nJapan,JPN,2022,1.256\nJapan,JPN,2023,1.208\n```\n\nAccording to this chart, what was fertility rate (estimates) in Japan in 2003?","response":"Reading the plotted point for 2003, fertility rate (estimates) in Japan was 1.28 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nJapan,JPN,1990,1.509\nJapan,JPN,1991,1.504\nJapan,JPN,1992,1.478\nJapan,JPN,1993,1.44\nJapan,JPN,1994,1.468\nJapan,JPN,1995,1.407\nJapan,JPN,1996,1.403\nJapan,JPN,1997,1.376\nJapan,JPN,1998,1.371\nJapan,JPN,1999,1.34\nJapan,JPN,2000,1.346\nJapan,JPN,2001,1.325\nJapan,JPN,2002,1.308\nJapan,JPN,2003,1.285\nJapan,JPN,2004,1.277\nJapan,JPN,2005,1.245\nJapan,JPN,2006,1.285\nJapan,JPN,2007,1.305\nJapan,JPN,2008,1.33\nJapan,JPN,2009,1.333\nJapan,JPN,2010,1.357\nJapan,JPN,2011,1.363\nJapan,JPN,2012,1.376\nJapan,JPN,2013,1.389\nJapan,JPN,2014,1.388\nJapan,JPN,2015,1.415\nJapan,JPN,2016,1.408\nJapan,JPN,2017,1.39\nJapan,JPN,2018,1.373\nJapan,JPN,2019,1.323\nJapan,JPN,2020,1.304\nJapan,JPN,2021,1.275\nJapan,JPN,2022,1.256\nJapan,JPN,2023,1.208\n```\n\nIn which year shown does fertility rate (estimates) reach its highest value for Japan?","response":"The series peaks in 1990, at 1.51 live births per woman. The lowest point shown is 2023, at 1.21 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nJapan,JPN,1990,1.509\nJapan,JPN,1991,1.504\nJapan,JPN,1992,1.478\nJapan,JPN,1993,1.44\nJapan,JPN,1994,1.468\nJapan,JPN,1995,1.407\nJapan,JPN,1996,1.403\nJapan,JPN,1997,1.376\nJapan,JPN,1998,1.371\nJapan,JPN,1999,1.34\nJapan,JPN,2000,1.346\nJapan,JPN,2001,1.325\nJapan,JPN,2002,1.308\nJapan,JPN,2003,1.285\nJapan,JPN,2004,1.277\nJapan,JPN,2005,1.245\nJapan,JPN,2006,1.285\nJapan,JPN,2007,1.305\nJapan,JPN,2008,1.33\nJapan,JPN,2009,1.333\nJapan,JPN,2010,1.357\nJapan,JPN,2011,1.363\nJapan,JPN,2012,1.376\nJapan,JPN,2013,1.389\nJapan,JPN,2014,1.388\nJapan,JPN,2015,1.415\nJapan,JPN,2016,1.408\nJapan,JPN,2017,1.39\nJapan,JPN,2018,1.373\nJapan,JPN,2019,1.323\nJapan,JPN,2020,1.304\nJapan,JPN,2021,1.275\nJapan,JPN,2022,1.256\nJapan,JPN,2023,1.208\n```\n\nHow much did fertility rate (estimates) change for Japan between 1990 and 2023?","response":"It moved from 1.51 live births per woman in 1990 to 1.21 live births per woman in 2023, a change of -0.3 live births per woman (-19.95%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nJapan,JPN,1990,1.509\nJapan,JPN,1991,1.504\nJapan,JPN,1992,1.478\nJapan,JPN,1993,1.44\nJapan,JPN,1994,1.468\nJapan,JPN,1995,1.407\nJapan,JPN,1996,1.403\nJapan,JPN,1997,1.376\nJapan,JPN,1998,1.371\nJapan,JPN,1999,1.34\nJapan,JPN,2000,1.346\nJapan,JPN,2001,1.325\nJapan,JPN,2002,1.308\nJapan,JPN,2003,1.285\nJapan,JPN,2004,1.277\nJapan,JPN,2005,1.245\nJapan,JPN,2006,1.285\nJapan,JPN,2007,1.305\nJapan,JPN,2008,1.33\nJapan,JPN,2009,1.333\nJapan,JPN,2010,1.357\nJapan,JPN,2011,1.363\nJapan,JPN,2012,1.376\nJapan,JPN,2013,1.389\nJapan,JPN,2014,1.388\nJapan,JPN,2015,1.415\nJapan,JPN,2016,1.408\nJapan,JPN,2017,1.39\nJapan,JPN,2018,1.373\nJapan,JPN,2019,1.323\nJapan,JPN,2020,1.304\nJapan,JPN,2021,1.275\nJapan,JPN,2022,1.256\nJapan,JPN,2023,1.208\n```\n\nWas fertility rate (estimates) in Japan higher in 1991 or 2007?","response":"Higher in 1991. The chart gives 1.5 live births per woman for 1991 and 1.3 live births per woman for 2007, a difference of 0.2 live births per woman.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nJapan,JPN,1990,1.509\nJapan,JPN,1991,1.504\nJapan,JPN,1992,1.478\nJapan,JPN,1993,1.44\nJapan,JPN,1994,1.468\nJapan,JPN,1995,1.407\nJapan,JPN,1996,1.403\nJapan,JPN,1997,1.376\nJapan,JPN,1998,1.371\nJapan,JPN,1999,1.34\nJapan,JPN,2000,1.346\nJapan,JPN,2001,1.325\nJapan,JPN,2002,1.308\nJapan,JPN,2003,1.285\nJapan,JPN,2004,1.277\nJapan,JPN,2005,1.245\nJapan,JPN,2006,1.285\nJapan,JPN,2007,1.305\nJapan,JPN,2008,1.33\nJapan,JPN,2009,1.333\nJapan,JPN,2010,1.357\nJapan,JPN,2011,1.363\nJapan,JPN,2012,1.376\nJapan,JPN,2013,1.389\nJapan,JPN,2014,1.388\nJapan,JPN,2015,1.415\nJapan,JPN,2016,1.408\nJapan,JPN,2017,1.39\nJapan,JPN,2018,1.373\nJapan,JPN,2019,1.323\nJapan,JPN,2020,1.304\nJapan,JPN,2021,1.275\nJapan,JPN,2022,1.256\nJapan,JPN,2023,1.208\n```\n\nBased on this chart, is fertility rate (estimates) in Japan rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 1.51 live births per woman to 1.21 live births per woman, a change of -19.95%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nJapan,JPN,1990,1.509\nJapan,JPN,1991,1.504\nJapan,JPN,1992,1.478\nJapan,JPN,1993,1.44\nJapan,JPN,1994,1.468\nJapan,JPN,1995,1.407\nJapan,JPN,1996,1.403\nJapan,JPN,1997,1.376\nJapan,JPN,1998,1.371\nJapan,JPN,1999,1.34\nJapan,JPN,2000,1.346\nJapan,JPN,2001,1.325\nJapan,JPN,2002,1.308\nJapan,JPN,2003,1.285\nJapan,JPN,2004,1.277\nJapan,JPN,2005,1.245\nJapan,JPN,2006,1.285\nJapan,JPN,2007,1.305\nJapan,JPN,2008,1.33\nJapan,JPN,2009,1.333\nJapan,JPN,2010,1.357\nJapan,JPN,2011,1.363\nJapan,JPN,2012,1.376\nJapan,JPN,2013,1.389\nJapan,JPN,2014,1.388\nJapan,JPN,2015,1.415\nJapan,JPN,2016,1.408\nJapan,JPN,2017,1.39\nJapan,JPN,2018,1.373\nJapan,JPN,2019,1.323\nJapan,JPN,2020,1.304\nJapan,JPN,2021,1.275\nJapan,JPN,2022,1.256\nJapan,JPN,2023,1.208\n```\n\nThis chart makes the change in fertility rate (estimates) for Japan look dramatic. Is it?","response":"The values change by -19.95%, from 1.51 live births per woman to 1.21 live births per woman. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nJapan,JPN,2005,1.245\nJapan,JPN,2006,1.285\nJapan,JPN,2007,1.305\nJapan,JPN,2008,1.33\nJapan,JPN,2009,1.333\nJapan,JPN,2010,1.357\nJapan,JPN,2011,1.363\nJapan,JPN,2012,1.376\nJapan,JPN,2013,1.389\n```\n\nWhat does this chart suggest about the long-run direction of fertility rate (estimates) in Japan?","response":"Within the window shown (2005-2013) the series moves +11.57%, but that window runs against the longer record. Across the full series (1990-2023) the change is -19.95%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Fertility rate (estimates)\nJapan,JPN,1990,1.509\nJapan,JPN,1991,1.504\nJapan,JPN,1992,1.478\nJapan,JPN,1993,1.44\nJapan,JPN,1994,1.468\nJapan,JPN,1995,1.407\nJapan,JPN,1996,1.403\nJapan,JPN,1997,1.376\nJapan,JPN,1998,1.371\nJapan,JPN,1999,1.34\nJapan,JPN,2000,1.346\nJapan,JPN,2001,1.325\nJapan,JPN,2002,1.308\nJapan,JPN,2003,1.285\nJapan,JPN,2004,1.277\nJapan,JPN,2005,1.245\nJapan,JPN,2006,1.285\nJapan,JPN,2007,1.305\nJapan,JPN,2008,1.33\nJapan,JPN,2009,1.333\nJapan,JPN,2010,1.357\nJapan,JPN,2011,1.363\nJapan,JPN,2012,1.376\nJapan,JPN,2013,1.389\nJapan,JPN,2014,1.388\nJapan,JPN,2015,1.415\nJapan,JPN,2016,1.408\nJapan,JPN,2017,1.39\nJapan,JPN,2018,1.373\nJapan,JPN,2019,1.323\nJapan,JPN,2020,1.304\nJapan,JPN,2021,1.275\nJapan,JPN,2022,1.256\nJapan,JPN,2023,1.208\n```\n\nWhat caused the change in fertility rate (estimates) for Japan around 1995?","response":"The chart shows that the change happened: fertility rate (estimates) moves to 1.41 live births per woman in 1995. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/fertility-rate-with-projections__Japan__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Fertility rate: births per woman","source_citation":"UN, World Population Prospects (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/fertility-rate-with-projections?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nIndonesia,IDN,1990,30.594519\nIndonesia,IDN,1991,31.599195\nIndonesia,IDN,1992,32.691498\nIndonesia,IDN,1993,33.85554\nIndonesia,IDN,1994,35.0672\nIndonesia,IDN,1995,36.30235\nIndonesia,IDN,1996,37.53687\nIndonesia,IDN,1997,38.74663\nIndonesia,IDN,1998,39.907513\nIndonesia,IDN,1999,40.995396\nIndonesia,IDN,2000,41.986153\nIndonesia,IDN,2001,42.90189\nIndonesia,IDN,2002,43.782406\nIndonesia,IDN,2003,44.630177\nIndonesia,IDN,2004,45.447674\nIndonesia,IDN,2005,46.237377\nIndonesia,IDN,2006,47.00176\nIndonesia,IDN,2007,47.743298\nIndonesia,IDN,2008,48.464474\nIndonesia,IDN,2009,49.16776\nIndonesia,IDN,2010,49.85214\nIndonesia,IDN,2011,50.483\nIndonesia,IDN,2012,51.159393\nIndonesia,IDN,2013,51.83075\nIndonesia,IDN,2014,52.500214\nIndonesia,IDN,2015,53.172077\nIndonesia,IDN,2016,53.812557\nIndonesia,IDN,2017,54.4541\nIndonesia,IDN,2018,55.095684\nIndonesia,IDN,2019,55.738205\nIndonesia,IDN,2020,56.27853\nIndonesia,IDN,2021,56.87617\nIndonesia,IDN,2022,57.49347\nIndonesia,IDN,2023,58.117935\nIndonesia,IDN,2024,58.750965\n```\n\nAccording to this chart, what was share of population living in urban areas in Indonesia in 2015?","response":"Reading the plotted point for 2015, share of population living in urban areas in Indonesia was 53.17 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nIndonesia,IDN,1990,30.594519\nIndonesia,IDN,1991,31.599195\nIndonesia,IDN,1992,32.691498\nIndonesia,IDN,1993,33.85554\nIndonesia,IDN,1994,35.0672\nIndonesia,IDN,1995,36.30235\nIndonesia,IDN,1996,37.53687\nIndonesia,IDN,1997,38.74663\nIndonesia,IDN,1998,39.907513\nIndonesia,IDN,1999,40.995396\nIndonesia,IDN,2000,41.986153\nIndonesia,IDN,2001,42.90189\nIndonesia,IDN,2002,43.782406\nIndonesia,IDN,2003,44.630177\nIndonesia,IDN,2004,45.447674\nIndonesia,IDN,2005,46.237377\nIndonesia,IDN,2006,47.00176\nIndonesia,IDN,2007,47.743298\nIndonesia,IDN,2008,48.464474\nIndonesia,IDN,2009,49.16776\nIndonesia,IDN,2010,49.85214\nIndonesia,IDN,2011,50.483\nIndonesia,IDN,2012,51.159393\nIndonesia,IDN,2013,51.83075\nIndonesia,IDN,2014,52.500214\nIndonesia,IDN,2015,53.172077\nIndonesia,IDN,2016,53.812557\nIndonesia,IDN,2017,54.4541\nIndonesia,IDN,2018,55.095684\nIndonesia,IDN,2019,55.738205\nIndonesia,IDN,2020,56.27853\nIndonesia,IDN,2021,56.87617\nIndonesia,IDN,2022,57.49347\nIndonesia,IDN,2023,58.117935\nIndonesia,IDN,2024,58.750965\n```\n\nIn which year shown does share of population living in urban areas reach its highest value for Indonesia?","response":"The series peaks in 2024, at 58.75 %. The lowest point shown is 1990, at 30.59 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nIndonesia,IDN,1990,30.594519\nIndonesia,IDN,1991,31.599195\nIndonesia,IDN,1992,32.691498\nIndonesia,IDN,1993,33.85554\nIndonesia,IDN,1994,35.0672\nIndonesia,IDN,1995,36.30235\nIndonesia,IDN,1996,37.53687\nIndonesia,IDN,1997,38.74663\nIndonesia,IDN,1998,39.907513\nIndonesia,IDN,1999,40.995396\nIndonesia,IDN,2000,41.986153\nIndonesia,IDN,2001,42.90189\nIndonesia,IDN,2002,43.782406\nIndonesia,IDN,2003,44.630177\nIndonesia,IDN,2004,45.447674\nIndonesia,IDN,2005,46.237377\nIndonesia,IDN,2006,47.00176\nIndonesia,IDN,2007,47.743298\nIndonesia,IDN,2008,48.464474\nIndonesia,IDN,2009,49.16776\nIndonesia,IDN,2010,49.85214\nIndonesia,IDN,2011,50.483\nIndonesia,IDN,2012,51.159393\nIndonesia,IDN,2013,51.83075\nIndonesia,IDN,2014,52.500214\nIndonesia,IDN,2015,53.172077\nIndonesia,IDN,2016,53.812557\nIndonesia,IDN,2017,54.4541\nIndonesia,IDN,2018,55.095684\nIndonesia,IDN,2019,55.738205\nIndonesia,IDN,2020,56.27853\nIndonesia,IDN,2021,56.87617\nIndonesia,IDN,2022,57.49347\nIndonesia,IDN,2023,58.117935\nIndonesia,IDN,2024,58.750965\n```\n\nHow much did share of population living in urban areas change for Indonesia between 1990 and 2024?","response":"It moved from 30.59 % in 1990 to 58.75 % in 2024, a change of 28.16 % (+92.03%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nIndonesia,IDN,1990,30.594519\nIndonesia,IDN,1991,31.599195\nIndonesia,IDN,1992,32.691498\nIndonesia,IDN,1993,33.85554\nIndonesia,IDN,1994,35.0672\nIndonesia,IDN,1995,36.30235\nIndonesia,IDN,1996,37.53687\nIndonesia,IDN,1997,38.74663\nIndonesia,IDN,1998,39.907513\nIndonesia,IDN,1999,40.995396\nIndonesia,IDN,2000,41.986153\nIndonesia,IDN,2001,42.90189\nIndonesia,IDN,2002,43.782406\nIndonesia,IDN,2003,44.630177\nIndonesia,IDN,2004,45.447674\nIndonesia,IDN,2005,46.237377\nIndonesia,IDN,2006,47.00176\nIndonesia,IDN,2007,47.743298\nIndonesia,IDN,2008,48.464474\nIndonesia,IDN,2009,49.16776\nIndonesia,IDN,2010,49.85214\nIndonesia,IDN,2011,50.483\nIndonesia,IDN,2012,51.159393\nIndonesia,IDN,2013,51.83075\nIndonesia,IDN,2014,52.500214\nIndonesia,IDN,2015,53.172077\nIndonesia,IDN,2016,53.812557\nIndonesia,IDN,2017,54.4541\nIndonesia,IDN,2018,55.095684\nIndonesia,IDN,2019,55.738205\nIndonesia,IDN,2020,56.27853\nIndonesia,IDN,2021,56.87617\nIndonesia,IDN,2022,57.49347\nIndonesia,IDN,2023,58.117935\nIndonesia,IDN,2024,58.750965\n```\n\nWas share of population living in urban areas in Indonesia higher in 1998 or 2023?","response":"Higher in 2023. The chart gives 39.91 % for 1998 and 58.12 % for 2023, a difference of 18.21 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nIndonesia,IDN,1990,30.594519\nIndonesia,IDN,1991,31.599195\nIndonesia,IDN,1992,32.691498\nIndonesia,IDN,1993,33.85554\nIndonesia,IDN,1994,35.0672\nIndonesia,IDN,1995,36.30235\nIndonesia,IDN,1996,37.53687\nIndonesia,IDN,1997,38.74663\nIndonesia,IDN,1998,39.907513\nIndonesia,IDN,1999,40.995396\nIndonesia,IDN,2000,41.986153\nIndonesia,IDN,2001,42.90189\nIndonesia,IDN,2002,43.782406\nIndonesia,IDN,2003,44.630177\nIndonesia,IDN,2004,45.447674\nIndonesia,IDN,2005,46.237377\nIndonesia,IDN,2006,47.00176\nIndonesia,IDN,2007,47.743298\nIndonesia,IDN,2008,48.464474\nIndonesia,IDN,2009,49.16776\nIndonesia,IDN,2010,49.85214\nIndonesia,IDN,2011,50.483\nIndonesia,IDN,2012,51.159393\nIndonesia,IDN,2013,51.83075\nIndonesia,IDN,2014,52.500214\nIndonesia,IDN,2015,53.172077\nIndonesia,IDN,2016,53.812557\nIndonesia,IDN,2017,54.4541\nIndonesia,IDN,2018,55.095684\nIndonesia,IDN,2019,55.738205\nIndonesia,IDN,2020,56.27853\nIndonesia,IDN,2021,56.87617\nIndonesia,IDN,2022,57.49347\nIndonesia,IDN,2023,58.117935\nIndonesia,IDN,2024,58.750965\n```\n\nAccording to this chart, what was share of population living in urban areas in Indonesia in 2015?","response":"Reading the plotted point for 2015, share of population living in urban areas in Indonesia was 53.17 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nIndonesia,IDN,1990,30.594519\nIndonesia,IDN,1991,31.599195\nIndonesia,IDN,1992,32.691498\nIndonesia,IDN,1993,33.85554\nIndonesia,IDN,1994,35.0672\nIndonesia,IDN,1995,36.30235\nIndonesia,IDN,1996,37.53687\nIndonesia,IDN,1997,38.74663\nIndonesia,IDN,1998,39.907513\nIndonesia,IDN,1999,40.995396\nIndonesia,IDN,2000,41.986153\nIndonesia,IDN,2001,42.90189\nIndonesia,IDN,2002,43.782406\nIndonesia,IDN,2003,44.630177\nIndonesia,IDN,2004,45.447674\nIndonesia,IDN,2005,46.237377\nIndonesia,IDN,2006,47.00176\nIndonesia,IDN,2007,47.743298\nIndonesia,IDN,2008,48.464474\nIndonesia,IDN,2009,49.16776\nIndonesia,IDN,2010,49.85214\nIndonesia,IDN,2011,50.483\nIndonesia,IDN,2012,51.159393\nIndonesia,IDN,2013,51.83075\nIndonesia,IDN,2014,52.500214\nIndonesia,IDN,2015,53.172077\nIndonesia,IDN,2016,53.812557\nIndonesia,IDN,2017,54.4541\nIndonesia,IDN,2018,55.095684\nIndonesia,IDN,2019,55.738205\nIndonesia,IDN,2020,56.27853\nIndonesia,IDN,2021,56.87617\nIndonesia,IDN,2022,57.49347\nIndonesia,IDN,2023,58.117935\nIndonesia,IDN,2024,58.750965\n```\n\nIn which year shown does share of population living in urban areas reach its highest value for Indonesia?","response":"The series peaks in 2024, at 58.75 %. The lowest point shown is 1990, at 30.59 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nIndonesia,IDN,1990,30.594519\nIndonesia,IDN,1991,31.599195\nIndonesia,IDN,1992,32.691498\nIndonesia,IDN,1993,33.85554\nIndonesia,IDN,1994,35.0672\nIndonesia,IDN,1995,36.30235\nIndonesia,IDN,1996,37.53687\nIndonesia,IDN,1997,38.74663\nIndonesia,IDN,1998,39.907513\nIndonesia,IDN,1999,40.995396\nIndonesia,IDN,2000,41.986153\nIndonesia,IDN,2001,42.90189\nIndonesia,IDN,2002,43.782406\nIndonesia,IDN,2003,44.630177\nIndonesia,IDN,2004,45.447674\nIndonesia,IDN,2005,46.237377\nIndonesia,IDN,2006,47.00176\nIndonesia,IDN,2007,47.743298\nIndonesia,IDN,2008,48.464474\nIndonesia,IDN,2009,49.16776\nIndonesia,IDN,2010,49.85214\nIndonesia,IDN,2011,50.483\nIndonesia,IDN,2012,51.159393\nIndonesia,IDN,2013,51.83075\nIndonesia,IDN,2014,52.500214\nIndonesia,IDN,2015,53.172077\nIndonesia,IDN,2016,53.812557\nIndonesia,IDN,2017,54.4541\nIndonesia,IDN,2018,55.095684\nIndonesia,IDN,2019,55.738205\nIndonesia,IDN,2020,56.27853\nIndonesia,IDN,2021,56.87617\nIndonesia,IDN,2022,57.49347\nIndonesia,IDN,2023,58.117935\nIndonesia,IDN,2024,58.750965\n```\n\nHow much did share of population living in urban areas change for Indonesia between 1990 and 2024?","response":"It moved from 30.59 % in 1990 to 58.75 % in 2024, a change of 28.16 % (+92.03%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nIndonesia,IDN,1990,30.594519\nIndonesia,IDN,1991,31.599195\nIndonesia,IDN,1992,32.691498\nIndonesia,IDN,1993,33.85554\nIndonesia,IDN,1994,35.0672\nIndonesia,IDN,1995,36.30235\nIndonesia,IDN,1996,37.53687\nIndonesia,IDN,1997,38.74663\nIndonesia,IDN,1998,39.907513\nIndonesia,IDN,1999,40.995396\nIndonesia,IDN,2000,41.986153\nIndonesia,IDN,2001,42.90189\nIndonesia,IDN,2002,43.782406\nIndonesia,IDN,2003,44.630177\nIndonesia,IDN,2004,45.447674\nIndonesia,IDN,2005,46.237377\nIndonesia,IDN,2006,47.00176\nIndonesia,IDN,2007,47.743298\nIndonesia,IDN,2008,48.464474\nIndonesia,IDN,2009,49.16776\nIndonesia,IDN,2010,49.85214\nIndonesia,IDN,2011,50.483\nIndonesia,IDN,2012,51.159393\nIndonesia,IDN,2013,51.83075\nIndonesia,IDN,2014,52.500214\nIndonesia,IDN,2015,53.172077\nIndonesia,IDN,2016,53.812557\nIndonesia,IDN,2017,54.4541\nIndonesia,IDN,2018,55.095684\nIndonesia,IDN,2019,55.738205\nIndonesia,IDN,2020,56.27853\nIndonesia,IDN,2021,56.87617\nIndonesia,IDN,2022,57.49347\nIndonesia,IDN,2023,58.117935\nIndonesia,IDN,2024,58.750965\n```\n\nWas share of population living in urban areas in Indonesia higher in 1998 or 2023?","response":"Higher in 2023. The chart gives 39.91 % for 1998 and 58.12 % for 2023, a difference of 18.21 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nIndonesia,IDN,1990,30.594519\nIndonesia,IDN,1991,31.599195\nIndonesia,IDN,1992,32.691498\nIndonesia,IDN,1993,33.85554\nIndonesia,IDN,1994,35.0672\nIndonesia,IDN,1995,36.30235\nIndonesia,IDN,1996,37.53687\nIndonesia,IDN,1997,38.74663\nIndonesia,IDN,1998,39.907513\nIndonesia,IDN,1999,40.995396\nIndonesia,IDN,2000,41.986153\nIndonesia,IDN,2001,42.90189\nIndonesia,IDN,2002,43.782406\nIndonesia,IDN,2003,44.630177\nIndonesia,IDN,2004,45.447674\nIndonesia,IDN,2005,46.237377\nIndonesia,IDN,2006,47.00176\nIndonesia,IDN,2007,47.743298\nIndonesia,IDN,2008,48.464474\nIndonesia,IDN,2009,49.16776\nIndonesia,IDN,2010,49.85214\nIndonesia,IDN,2011,50.483\nIndonesia,IDN,2012,51.159393\nIndonesia,IDN,2013,51.83075\nIndonesia,IDN,2014,52.500214\nIndonesia,IDN,2015,53.172077\nIndonesia,IDN,2016,53.812557\nIndonesia,IDN,2017,54.4541\nIndonesia,IDN,2018,55.095684\nIndonesia,IDN,2019,55.738205\nIndonesia,IDN,2020,56.27853\nIndonesia,IDN,2021,56.87617\nIndonesia,IDN,2022,57.49347\nIndonesia,IDN,2023,58.117935\nIndonesia,IDN,2024,58.750965\n```\n\nThis chart makes the change in share of population living in urban areas for Indonesia look dramatic. Is it?","response":"The values change by +92.03%, from 30.59 % to 58.75 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nIndonesia,IDN,1990,30.594519\nIndonesia,IDN,1991,31.599195\nIndonesia,IDN,1992,32.691498\nIndonesia,IDN,1993,33.85554\nIndonesia,IDN,1994,35.0672\nIndonesia,IDN,1995,36.30235\nIndonesia,IDN,1996,37.53687\nIndonesia,IDN,1997,38.74663\nIndonesia,IDN,1998,39.907513\nIndonesia,IDN,1999,40.995396\nIndonesia,IDN,2000,41.986153\nIndonesia,IDN,2001,42.90189\nIndonesia,IDN,2002,43.782406\nIndonesia,IDN,2003,44.630177\nIndonesia,IDN,2004,45.447674\nIndonesia,IDN,2005,46.237377\nIndonesia,IDN,2006,47.00176\nIndonesia,IDN,2007,47.743298\nIndonesia,IDN,2008,48.464474\nIndonesia,IDN,2009,49.16776\nIndonesia,IDN,2010,49.85214\nIndonesia,IDN,2011,50.483\nIndonesia,IDN,2012,51.159393\nIndonesia,IDN,2013,51.83075\nIndonesia,IDN,2014,52.500214\nIndonesia,IDN,2015,53.172077\nIndonesia,IDN,2016,53.812557\nIndonesia,IDN,2017,54.4541\nIndonesia,IDN,2018,55.095684\nIndonesia,IDN,2019,55.738205\nIndonesia,IDN,2020,56.27853\nIndonesia,IDN,2021,56.87617\nIndonesia,IDN,2022,57.49347\nIndonesia,IDN,2023,58.117935\nIndonesia,IDN,2024,58.750965\n```\n\nThis chart appears to show share of population living in urban areas in Indonesia rising steeply. How large is the increase actually?","response":"The plotted values run from 30.59 % to 58.75 %, so the actual change is +92.03%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 30.0314 instead of zero, which magnifies the visual change by roughly 2.17x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nIndonesia,IDN,1990,30.594519\nIndonesia,IDN,1991,31.599195\nIndonesia,IDN,1992,32.691498\nIndonesia,IDN,1993,33.85554\nIndonesia,IDN,1994,35.0672\nIndonesia,IDN,1995,36.30235\nIndonesia,IDN,1996,37.53687\nIndonesia,IDN,1997,38.74663\nIndonesia,IDN,1998,39.907513\nIndonesia,IDN,1999,40.995396\nIndonesia,IDN,2000,41.986153\nIndonesia,IDN,2001,42.90189\nIndonesia,IDN,2002,43.782406\nIndonesia,IDN,2003,44.630177\nIndonesia,IDN,2004,45.447674\nIndonesia,IDN,2005,46.237377\nIndonesia,IDN,2006,47.00176\nIndonesia,IDN,2007,47.743298\nIndonesia,IDN,2008,48.464474\nIndonesia,IDN,2009,49.16776\nIndonesia,IDN,2010,49.85214\nIndonesia,IDN,2011,50.483\nIndonesia,IDN,2012,51.159393\nIndonesia,IDN,2013,51.83075\nIndonesia,IDN,2014,52.500214\nIndonesia,IDN,2015,53.172077\nIndonesia,IDN,2016,53.812557\nIndonesia,IDN,2017,54.4541\nIndonesia,IDN,2018,55.095684\nIndonesia,IDN,2019,55.738205\nIndonesia,IDN,2020,56.27853\nIndonesia,IDN,2021,56.87617\nIndonesia,IDN,2022,57.49347\nIndonesia,IDN,2023,58.117935\nIndonesia,IDN,2024,58.750965\n```\n\nWhat was share of population living in urban areas for Indonesia in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 30.59 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Indonesia__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nKenya,KEN,1990,18.196295\nKenya,KEN,1991,18.29832\nKenya,KEN,1992,18.38035\nKenya,KEN,1993,18.450014\nKenya,KEN,1994,18.51494\nKenya,KEN,1995,18.58276\nKenya,KEN,1996,18.661102\nKenya,KEN,1997,18.757595\nKenya,KEN,1998,18.87987\nKenya,KEN,1999,19.028852\nKenya,KEN,2000,19.455383\nKenya,KEN,2001,20.44163\nKenya,KEN,2002,21.858656\nKenya,KEN,2003,23.56389\nKenya,KEN,2004,25.414755\nKenya,KEN,2005,27.268675\nKenya,KEN,2006,28.983076\nKenya,KEN,2007,30.415386\nKenya,KEN,2008,31.423027\nKenya,KEN,2009,31.86031\nKenya,KEN,2010,31.871328\nKenya,KEN,2011,31.867395\nKenya,KEN,2012,31.855812\nKenya,KEN,2013,31.832445\nKenya,KEN,2014,31.793154\nKenya,KEN,2015,31.733803\nKenya,KEN,2016,31.650251\nKenya,KEN,2017,31.538364\nKenya,KEN,2018,31.394005\nKenya,KEN,2019,31.189556\nKenya,KEN,2020,31.20635\nKenya,KEN,2021,31.287933\nKenya,KEN,2022,31.430782\nKenya,KEN,2023,31.633034\nKenya,KEN,2024,31.893784\n```\n\nAccording to this chart, what was share of population living in urban areas in Kenya in 1998?","response":"Reading the plotted point for 1998, share of population living in urban areas in Kenya was 18.88 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nKenya,KEN,1990,18.196295\nKenya,KEN,1991,18.29832\nKenya,KEN,1992,18.38035\nKenya,KEN,1993,18.450014\nKenya,KEN,1994,18.51494\nKenya,KEN,1995,18.58276\nKenya,KEN,1996,18.661102\nKenya,KEN,1997,18.757595\nKenya,KEN,1998,18.87987\nKenya,KEN,1999,19.028852\nKenya,KEN,2000,19.455383\nKenya,KEN,2001,20.44163\nKenya,KEN,2002,21.858656\nKenya,KEN,2003,23.56389\nKenya,KEN,2004,25.414755\nKenya,KEN,2005,27.268675\nKenya,KEN,2006,28.983076\nKenya,KEN,2007,30.415386\nKenya,KEN,2008,31.423027\nKenya,KEN,2009,31.86031\nKenya,KEN,2010,31.871328\nKenya,KEN,2011,31.867395\nKenya,KEN,2012,31.855812\nKenya,KEN,2013,31.832445\nKenya,KEN,2014,31.793154\nKenya,KEN,2015,31.733803\nKenya,KEN,2016,31.650251\nKenya,KEN,2017,31.538364\nKenya,KEN,2018,31.394005\nKenya,KEN,2019,31.189556\nKenya,KEN,2020,31.20635\nKenya,KEN,2021,31.287933\nKenya,KEN,2022,31.430782\nKenya,KEN,2023,31.633034\nKenya,KEN,2024,31.893784\n```\n\nIn which year shown does share of population living in urban areas reach its highest value for Kenya?","response":"The series peaks in 2024, at 31.89 %. The lowest point shown is 1990, at 18.2 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nKenya,KEN,1990,18.196295\nKenya,KEN,1991,18.29832\nKenya,KEN,1992,18.38035\nKenya,KEN,1993,18.450014\nKenya,KEN,1994,18.51494\nKenya,KEN,1995,18.58276\nKenya,KEN,1996,18.661102\nKenya,KEN,1997,18.757595\nKenya,KEN,1998,18.87987\nKenya,KEN,1999,19.028852\nKenya,KEN,2000,19.455383\nKenya,KEN,2001,20.44163\nKenya,KEN,2002,21.858656\nKenya,KEN,2003,23.56389\nKenya,KEN,2004,25.414755\nKenya,KEN,2005,27.268675\nKenya,KEN,2006,28.983076\nKenya,KEN,2007,30.415386\nKenya,KEN,2008,31.423027\nKenya,KEN,2009,31.86031\nKenya,KEN,2010,31.871328\nKenya,KEN,2011,31.867395\nKenya,KEN,2012,31.855812\nKenya,KEN,2013,31.832445\nKenya,KEN,2014,31.793154\nKenya,KEN,2015,31.733803\nKenya,KEN,2016,31.650251\nKenya,KEN,2017,31.538364\nKenya,KEN,2018,31.394005\nKenya,KEN,2019,31.189556\nKenya,KEN,2020,31.20635\nKenya,KEN,2021,31.287933\nKenya,KEN,2022,31.430782\nKenya,KEN,2023,31.633034\nKenya,KEN,2024,31.893784\n```\n\nHow much did share of population living in urban areas change for Kenya between 1990 and 2024?","response":"It moved from 18.2 % in 1990 to 31.89 % in 2024, a change of 13.7 % (+75.28%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nKenya,KEN,1990,18.196295\nKenya,KEN,1991,18.29832\nKenya,KEN,1992,18.38035\nKenya,KEN,1993,18.450014\nKenya,KEN,1994,18.51494\nKenya,KEN,1995,18.58276\nKenya,KEN,1996,18.661102\nKenya,KEN,1997,18.757595\nKenya,KEN,1998,18.87987\nKenya,KEN,1999,19.028852\nKenya,KEN,2000,19.455383\nKenya,KEN,2001,20.44163\nKenya,KEN,2002,21.858656\nKenya,KEN,2003,23.56389\nKenya,KEN,2004,25.414755\nKenya,KEN,2005,27.268675\nKenya,KEN,2006,28.983076\nKenya,KEN,2007,30.415386\nKenya,KEN,2008,31.423027\nKenya,KEN,2009,31.86031\nKenya,KEN,2010,31.871328\nKenya,KEN,2011,31.867395\nKenya,KEN,2012,31.855812\nKenya,KEN,2013,31.832445\nKenya,KEN,2014,31.793154\nKenya,KEN,2015,31.733803\nKenya,KEN,2016,31.650251\nKenya,KEN,2017,31.538364\nKenya,KEN,2018,31.394005\nKenya,KEN,2019,31.189556\nKenya,KEN,2020,31.20635\nKenya,KEN,2021,31.287933\nKenya,KEN,2022,31.430782\nKenya,KEN,2023,31.633034\nKenya,KEN,2024,31.893784\n```\n\nWas share of population living in urban areas in Kenya higher in 1997 or 2017?","response":"Higher in 2017. The chart gives 18.76 % for 1997 and 31.54 % for 2017, a difference of 12.78 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nKenya,KEN,1990,18.196295\nKenya,KEN,1991,18.29832\nKenya,KEN,1992,18.38035\nKenya,KEN,1993,18.450014\nKenya,KEN,1994,18.51494\nKenya,KEN,1995,18.58276\nKenya,KEN,1996,18.661102\nKenya,KEN,1997,18.757595\nKenya,KEN,1998,18.87987\nKenya,KEN,1999,19.028852\nKenya,KEN,2000,19.455383\nKenya,KEN,2001,20.44163\nKenya,KEN,2002,21.858656\nKenya,KEN,2003,23.56389\nKenya,KEN,2004,25.414755\nKenya,KEN,2005,27.268675\nKenya,KEN,2006,28.983076\nKenya,KEN,2007,30.415386\nKenya,KEN,2008,31.423027\nKenya,KEN,2009,31.86031\nKenya,KEN,2010,31.871328\nKenya,KEN,2011,31.867395\nKenya,KEN,2012,31.855812\nKenya,KEN,2013,31.832445\nKenya,KEN,2014,31.793154\nKenya,KEN,2015,31.733803\nKenya,KEN,2016,31.650251\nKenya,KEN,2017,31.538364\nKenya,KEN,2018,31.394005\nKenya,KEN,2019,31.189556\nKenya,KEN,2020,31.20635\nKenya,KEN,2021,31.287933\nKenya,KEN,2022,31.430782\nKenya,KEN,2023,31.633034\nKenya,KEN,2024,31.893784\n```\n\nAccording to this chart, what was share of population living in urban areas in Kenya in 1998?","response":"Reading the plotted point for 1998, share of population living in urban areas in Kenya was 18.88 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nKenya,KEN,1990,18.196295\nKenya,KEN,1991,18.29832\nKenya,KEN,1992,18.38035\nKenya,KEN,1993,18.450014\nKenya,KEN,1994,18.51494\nKenya,KEN,1995,18.58276\nKenya,KEN,1996,18.661102\nKenya,KEN,1997,18.757595\nKenya,KEN,1998,18.87987\nKenya,KEN,1999,19.028852\nKenya,KEN,2000,19.455383\nKenya,KEN,2001,20.44163\nKenya,KEN,2002,21.858656\nKenya,KEN,2003,23.56389\nKenya,KEN,2004,25.414755\nKenya,KEN,2005,27.268675\nKenya,KEN,2006,28.983076\nKenya,KEN,2007,30.415386\nKenya,KEN,2008,31.423027\nKenya,KEN,2009,31.86031\nKenya,KEN,2010,31.871328\nKenya,KEN,2011,31.867395\nKenya,KEN,2012,31.855812\nKenya,KEN,2013,31.832445\nKenya,KEN,2014,31.793154\nKenya,KEN,2015,31.733803\nKenya,KEN,2016,31.650251\nKenya,KEN,2017,31.538364\nKenya,KEN,2018,31.394005\nKenya,KEN,2019,31.189556\nKenya,KEN,2020,31.20635\nKenya,KEN,2021,31.287933\nKenya,KEN,2022,31.430782\nKenya,KEN,2023,31.633034\nKenya,KEN,2024,31.893784\n```\n\nIn which year shown does share of population living in urban areas reach its highest value for Kenya?","response":"The series peaks in 2024, at 31.89 %. The lowest point shown is 1990, at 18.2 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nKenya,KEN,1990,18.196295\nKenya,KEN,1991,18.29832\nKenya,KEN,1992,18.38035\nKenya,KEN,1993,18.450014\nKenya,KEN,1994,18.51494\nKenya,KEN,1995,18.58276\nKenya,KEN,1996,18.661102\nKenya,KEN,1997,18.757595\nKenya,KEN,1998,18.87987\nKenya,KEN,1999,19.028852\nKenya,KEN,2000,19.455383\nKenya,KEN,2001,20.44163\nKenya,KEN,2002,21.858656\nKenya,KEN,2003,23.56389\nKenya,KEN,2004,25.414755\nKenya,KEN,2005,27.268675\nKenya,KEN,2006,28.983076\nKenya,KEN,2007,30.415386\nKenya,KEN,2008,31.423027\nKenya,KEN,2009,31.86031\nKenya,KEN,2010,31.871328\nKenya,KEN,2011,31.867395\nKenya,KEN,2012,31.855812\nKenya,KEN,2013,31.832445\nKenya,KEN,2014,31.793154\nKenya,KEN,2015,31.733803\nKenya,KEN,2016,31.650251\nKenya,KEN,2017,31.538364\nKenya,KEN,2018,31.394005\nKenya,KEN,2019,31.189556\nKenya,KEN,2020,31.20635\nKenya,KEN,2021,31.287933\nKenya,KEN,2022,31.430782\nKenya,KEN,2023,31.633034\nKenya,KEN,2024,31.893784\n```\n\nHow much did share of population living in urban areas change for Kenya between 1990 and 2024?","response":"It moved from 18.2 % in 1990 to 31.89 % in 2024, a change of 13.7 % (+75.28%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nKenya,KEN,1990,18.196295\nKenya,KEN,1991,18.29832\nKenya,KEN,1992,18.38035\nKenya,KEN,1993,18.450014\nKenya,KEN,1994,18.51494\nKenya,KEN,1995,18.58276\nKenya,KEN,1996,18.661102\nKenya,KEN,1997,18.757595\nKenya,KEN,1998,18.87987\nKenya,KEN,1999,19.028852\nKenya,KEN,2000,19.455383\nKenya,KEN,2001,20.44163\nKenya,KEN,2002,21.858656\nKenya,KEN,2003,23.56389\nKenya,KEN,2004,25.414755\nKenya,KEN,2005,27.268675\nKenya,KEN,2006,28.983076\nKenya,KEN,2007,30.415386\nKenya,KEN,2008,31.423027\nKenya,KEN,2009,31.86031\nKenya,KEN,2010,31.871328\nKenya,KEN,2011,31.867395\nKenya,KEN,2012,31.855812\nKenya,KEN,2013,31.832445\nKenya,KEN,2014,31.793154\nKenya,KEN,2015,31.733803\nKenya,KEN,2016,31.650251\nKenya,KEN,2017,31.538364\nKenya,KEN,2018,31.394005\nKenya,KEN,2019,31.189556\nKenya,KEN,2020,31.20635\nKenya,KEN,2021,31.287933\nKenya,KEN,2022,31.430782\nKenya,KEN,2023,31.633034\nKenya,KEN,2024,31.893784\n```\n\nWas share of population living in urban areas in Kenya higher in 1997 or 2017?","response":"Higher in 2017. The chart gives 18.76 % for 1997 and 31.54 % for 2017, a difference of 12.78 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nKenya,KEN,1990,18.196295\nKenya,KEN,1991,18.29832\nKenya,KEN,1992,18.38035\nKenya,KEN,1993,18.450014\nKenya,KEN,1994,18.51494\nKenya,KEN,1995,18.58276\nKenya,KEN,1996,18.661102\nKenya,KEN,1997,18.757595\nKenya,KEN,1998,18.87987\nKenya,KEN,1999,19.028852\nKenya,KEN,2000,19.455383\nKenya,KEN,2001,20.44163\nKenya,KEN,2002,21.858656\nKenya,KEN,2003,23.56389\nKenya,KEN,2004,25.414755\nKenya,KEN,2005,27.268675\nKenya,KEN,2006,28.983076\nKenya,KEN,2007,30.415386\nKenya,KEN,2008,31.423027\nKenya,KEN,2009,31.86031\nKenya,KEN,2010,31.871328\nKenya,KEN,2011,31.867395\nKenya,KEN,2012,31.855812\nKenya,KEN,2013,31.832445\nKenya,KEN,2014,31.793154\nKenya,KEN,2015,31.733803\nKenya,KEN,2016,31.650251\nKenya,KEN,2017,31.538364\nKenya,KEN,2018,31.394005\nKenya,KEN,2019,31.189556\nKenya,KEN,2020,31.20635\nKenya,KEN,2021,31.287933\nKenya,KEN,2022,31.430782\nKenya,KEN,2023,31.633034\nKenya,KEN,2024,31.893784\n```\n\nThis chart makes the change in share of population living in urban areas for Kenya look dramatic. Is it?","response":"The values change by +75.28%, from 18.2 % to 31.89 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nKenya,KEN,1990,18.196295\nKenya,KEN,1991,18.29832\nKenya,KEN,1992,18.38035\nKenya,KEN,1993,18.450014\nKenya,KEN,1994,18.51494\nKenya,KEN,1995,18.58276\nKenya,KEN,1996,18.661102\nKenya,KEN,1997,18.757595\nKenya,KEN,1998,18.87987\nKenya,KEN,1999,19.028852\nKenya,KEN,2000,19.455383\nKenya,KEN,2001,20.44163\nKenya,KEN,2002,21.858656\nKenya,KEN,2003,23.56389\nKenya,KEN,2004,25.414755\nKenya,KEN,2005,27.268675\nKenya,KEN,2006,28.983076\nKenya,KEN,2007,30.415386\nKenya,KEN,2008,31.423027\nKenya,KEN,2009,31.86031\nKenya,KEN,2010,31.871328\nKenya,KEN,2011,31.867395\nKenya,KEN,2012,31.855812\nKenya,KEN,2013,31.832445\nKenya,KEN,2014,31.793154\nKenya,KEN,2015,31.733803\nKenya,KEN,2016,31.650251\nKenya,KEN,2017,31.538364\nKenya,KEN,2018,31.394005\nKenya,KEN,2019,31.189556\nKenya,KEN,2020,31.20635\nKenya,KEN,2021,31.287933\nKenya,KEN,2022,31.430782\nKenya,KEN,2023,31.633034\nKenya,KEN,2024,31.893784\n```\n\nThis chart appears to show share of population living in urban areas in Kenya rising steeply. How large is the increase actually?","response":"The plotted values run from 18.2 % to 31.89 %, so the actual change is +75.28%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 17.9223 instead of zero, which magnifies the visual change by roughly 2.42x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nKenya,KEN,2012,31.855812\nKenya,KEN,2013,31.832445\nKenya,KEN,2014,31.793154\nKenya,KEN,2015,31.733803\nKenya,KEN,2016,31.650251\nKenya,KEN,2017,31.538364\nKenya,KEN,2018,31.394005\nKenya,KEN,2019,31.189556\nKenya,KEN,2020,31.20635\n```\n\nWhat does this chart suggest about the long-run direction of share of population living in urban areas in Kenya?","response":"Within the window shown (2012-2020) the series moves -2.04%, but that window runs against the longer record. Across the full series (1990-2024) the change is +75.28%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nKenya,KEN,1990,18.196295\nKenya,KEN,1991,18.29832\nKenya,KEN,1992,18.38035\nKenya,KEN,1993,18.450014\nKenya,KEN,1994,18.51494\nKenya,KEN,1995,18.58276\nKenya,KEN,1996,18.661102\nKenya,KEN,1997,18.757595\nKenya,KEN,1998,18.87987\nKenya,KEN,1999,19.028852\nKenya,KEN,2000,19.455383\nKenya,KEN,2001,20.44163\nKenya,KEN,2002,21.858656\nKenya,KEN,2003,23.56389\nKenya,KEN,2004,25.414755\nKenya,KEN,2005,27.268675\nKenya,KEN,2006,28.983076\nKenya,KEN,2007,30.415386\nKenya,KEN,2008,31.423027\nKenya,KEN,2009,31.86031\nKenya,KEN,2010,31.871328\nKenya,KEN,2011,31.867395\nKenya,KEN,2012,31.855812\nKenya,KEN,2013,31.832445\nKenya,KEN,2014,31.793154\nKenya,KEN,2015,31.733803\nKenya,KEN,2016,31.650251\nKenya,KEN,2017,31.538364\nKenya,KEN,2018,31.394005\nKenya,KEN,2019,31.189556\nKenya,KEN,2020,31.20635\nKenya,KEN,2021,31.287933\nKenya,KEN,2022,31.430782\nKenya,KEN,2023,31.633034\nKenya,KEN,2024,31.893784\n```\n\nWhat was share of population living in urban areas for Kenya in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 18.2 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Kenya__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nMexico,MEX,1990,71.45901\nMexico,MEX,1991,71.8594\nMexico,MEX,1992,72.24061\nMexico,MEX,1993,72.60551\nMexico,MEX,1994,72.95656\nMexico,MEX,1995,73.296234\nMexico,MEX,1996,73.62699\nMexico,MEX,1997,73.95131\nMexico,MEX,1998,74.271645\nMexico,MEX,1999,74.59048\nMexico,MEX,2000,74.92031\nMexico,MEX,2001,75.29076\nMexico,MEX,2002,75.684074\nMexico,MEX,2003,76.04617\nMexico,MEX,2004,76.32744\nMexico,MEX,2005,76.47486\nMexico,MEX,2006,76.498245\nMexico,MEX,2007,76.50473\nMexico,MEX,2008,76.50904\nMexico,MEX,2009,76.5144\nMexico,MEX,2010,76.524445\nMexico,MEX,2011,76.56678\nMexico,MEX,2012,76.65852\nMexico,MEX,2013,76.79558\nMexico,MEX,2014,76.97414\nMexico,MEX,2015,77.190384\nMexico,MEX,2016,77.440506\nMexico,MEX,2017,77.720695\nMexico,MEX,2018,78.02712\nMexico,MEX,2019,78.35599\nMexico,MEX,2020,78.67796\nMexico,MEX,2021,78.9324\nMexico,MEX,2022,79.199684\nMexico,MEX,2023,79.473495\nMexico,MEX,2024,79.75388\n```\n\nAccording to this chart, what was share of population living in urban areas in Mexico in 2008?","response":"Reading the plotted point for 2008, share of population living in urban areas in Mexico was 76.51 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nMexico,MEX,1990,71.45901\nMexico,MEX,1991,71.8594\nMexico,MEX,1992,72.24061\nMexico,MEX,1993,72.60551\nMexico,MEX,1994,72.95656\nMexico,MEX,1995,73.296234\nMexico,MEX,1996,73.62699\nMexico,MEX,1997,73.95131\nMexico,MEX,1998,74.271645\nMexico,MEX,1999,74.59048\nMexico,MEX,2000,74.92031\nMexico,MEX,2001,75.29076\nMexico,MEX,2002,75.684074\nMexico,MEX,2003,76.04617\nMexico,MEX,2004,76.32744\nMexico,MEX,2005,76.47486\nMexico,MEX,2006,76.498245\nMexico,MEX,2007,76.50473\nMexico,MEX,2008,76.50904\nMexico,MEX,2009,76.5144\nMexico,MEX,2010,76.524445\nMexico,MEX,2011,76.56678\nMexico,MEX,2012,76.65852\nMexico,MEX,2013,76.79558\nMexico,MEX,2014,76.97414\nMexico,MEX,2015,77.190384\nMexico,MEX,2016,77.440506\nMexico,MEX,2017,77.720695\nMexico,MEX,2018,78.02712\nMexico,MEX,2019,78.35599\nMexico,MEX,2020,78.67796\nMexico,MEX,2021,78.9324\nMexico,MEX,2022,79.199684\nMexico,MEX,2023,79.473495\nMexico,MEX,2024,79.75388\n```\n\nIn which year shown does share of population living in urban areas reach its highest value for Mexico?","response":"The series peaks in 2024, at 79.75 %. The lowest point shown is 1990, at 71.46 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nMexico,MEX,1990,71.45901\nMexico,MEX,1991,71.8594\nMexico,MEX,1992,72.24061\nMexico,MEX,1993,72.60551\nMexico,MEX,1994,72.95656\nMexico,MEX,1995,73.296234\nMexico,MEX,1996,73.62699\nMexico,MEX,1997,73.95131\nMexico,MEX,1998,74.271645\nMexico,MEX,1999,74.59048\nMexico,MEX,2000,74.92031\nMexico,MEX,2001,75.29076\nMexico,MEX,2002,75.684074\nMexico,MEX,2003,76.04617\nMexico,MEX,2004,76.32744\nMexico,MEX,2005,76.47486\nMexico,MEX,2006,76.498245\nMexico,MEX,2007,76.50473\nMexico,MEX,2008,76.50904\nMexico,MEX,2009,76.5144\nMexico,MEX,2010,76.524445\nMexico,MEX,2011,76.56678\nMexico,MEX,2012,76.65852\nMexico,MEX,2013,76.79558\nMexico,MEX,2014,76.97414\nMexico,MEX,2015,77.190384\nMexico,MEX,2016,77.440506\nMexico,MEX,2017,77.720695\nMexico,MEX,2018,78.02712\nMexico,MEX,2019,78.35599\nMexico,MEX,2020,78.67796\nMexico,MEX,2021,78.9324\nMexico,MEX,2022,79.199684\nMexico,MEX,2023,79.473495\nMexico,MEX,2024,79.75388\n```\n\nHow much did share of population living in urban areas change for Mexico between 1990 and 2024?","response":"It moved from 71.46 % in 1990 to 79.75 % in 2024, a change of 8.29 % (+11.61%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nMexico,MEX,1990,71.45901\nMexico,MEX,1991,71.8594\nMexico,MEX,1992,72.24061\nMexico,MEX,1993,72.60551\nMexico,MEX,1994,72.95656\nMexico,MEX,1995,73.296234\nMexico,MEX,1996,73.62699\nMexico,MEX,1997,73.95131\nMexico,MEX,1998,74.271645\nMexico,MEX,1999,74.59048\nMexico,MEX,2000,74.92031\nMexico,MEX,2001,75.29076\nMexico,MEX,2002,75.684074\nMexico,MEX,2003,76.04617\nMexico,MEX,2004,76.32744\nMexico,MEX,2005,76.47486\nMexico,MEX,2006,76.498245\nMexico,MEX,2007,76.50473\nMexico,MEX,2008,76.50904\nMexico,MEX,2009,76.5144\nMexico,MEX,2010,76.524445\nMexico,MEX,2011,76.56678\nMexico,MEX,2012,76.65852\nMexico,MEX,2013,76.79558\nMexico,MEX,2014,76.97414\nMexico,MEX,2015,77.190384\nMexico,MEX,2016,77.440506\nMexico,MEX,2017,77.720695\nMexico,MEX,2018,78.02712\nMexico,MEX,2019,78.35599\nMexico,MEX,2020,78.67796\nMexico,MEX,2021,78.9324\nMexico,MEX,2022,79.199684\nMexico,MEX,2023,79.473495\nMexico,MEX,2024,79.75388\n```\n\nWas share of population living in urban areas in Mexico higher in 1990 or 2011?","response":"Higher in 2011. The chart gives 71.46 % for 1990 and 76.57 % for 2011, a difference of 5.11 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nMexico,MEX,1990,71.45901\nMexico,MEX,1991,71.8594\nMexico,MEX,1992,72.24061\nMexico,MEX,1993,72.60551\nMexico,MEX,1994,72.95656\nMexico,MEX,1995,73.296234\nMexico,MEX,1996,73.62699\nMexico,MEX,1997,73.95131\nMexico,MEX,1998,74.271645\nMexico,MEX,1999,74.59048\nMexico,MEX,2000,74.92031\nMexico,MEX,2001,75.29076\nMexico,MEX,2002,75.684074\nMexico,MEX,2003,76.04617\nMexico,MEX,2004,76.32744\nMexico,MEX,2005,76.47486\nMexico,MEX,2006,76.498245\nMexico,MEX,2007,76.50473\nMexico,MEX,2008,76.50904\nMexico,MEX,2009,76.5144\nMexico,MEX,2010,76.524445\nMexico,MEX,2011,76.56678\nMexico,MEX,2012,76.65852\nMexico,MEX,2013,76.79558\nMexico,MEX,2014,76.97414\nMexico,MEX,2015,77.190384\nMexico,MEX,2016,77.440506\nMexico,MEX,2017,77.720695\nMexico,MEX,2018,78.02712\nMexico,MEX,2019,78.35599\nMexico,MEX,2020,78.67796\nMexico,MEX,2021,78.9324\nMexico,MEX,2022,79.199684\nMexico,MEX,2023,79.473495\nMexico,MEX,2024,79.75388\n```\n\nAccording to this chart, what was share of population living in urban areas in Mexico in 2008?","response":"Reading the plotted point for 2008, share of population living in urban areas in Mexico was 76.51 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nMexico,MEX,1990,71.45901\nMexico,MEX,1991,71.8594\nMexico,MEX,1992,72.24061\nMexico,MEX,1993,72.60551\nMexico,MEX,1994,72.95656\nMexico,MEX,1995,73.296234\nMexico,MEX,1996,73.62699\nMexico,MEX,1997,73.95131\nMexico,MEX,1998,74.271645\nMexico,MEX,1999,74.59048\nMexico,MEX,2000,74.92031\nMexico,MEX,2001,75.29076\nMexico,MEX,2002,75.684074\nMexico,MEX,2003,76.04617\nMexico,MEX,2004,76.32744\nMexico,MEX,2005,76.47486\nMexico,MEX,2006,76.498245\nMexico,MEX,2007,76.50473\nMexico,MEX,2008,76.50904\nMexico,MEX,2009,76.5144\nMexico,MEX,2010,76.524445\nMexico,MEX,2011,76.56678\nMexico,MEX,2012,76.65852\nMexico,MEX,2013,76.79558\nMexico,MEX,2014,76.97414\nMexico,MEX,2015,77.190384\nMexico,MEX,2016,77.440506\nMexico,MEX,2017,77.720695\nMexico,MEX,2018,78.02712\nMexico,MEX,2019,78.35599\nMexico,MEX,2020,78.67796\nMexico,MEX,2021,78.9324\nMexico,MEX,2022,79.199684\nMexico,MEX,2023,79.473495\nMexico,MEX,2024,79.75388\n```\n\nIn which year shown does share of population living in urban areas reach its highest value for Mexico?","response":"The series peaks in 2024, at 79.75 %. The lowest point shown is 1990, at 71.46 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nMexico,MEX,1990,71.45901\nMexico,MEX,1991,71.8594\nMexico,MEX,1992,72.24061\nMexico,MEX,1993,72.60551\nMexico,MEX,1994,72.95656\nMexico,MEX,1995,73.296234\nMexico,MEX,1996,73.62699\nMexico,MEX,1997,73.95131\nMexico,MEX,1998,74.271645\nMexico,MEX,1999,74.59048\nMexico,MEX,2000,74.92031\nMexico,MEX,2001,75.29076\nMexico,MEX,2002,75.684074\nMexico,MEX,2003,76.04617\nMexico,MEX,2004,76.32744\nMexico,MEX,2005,76.47486\nMexico,MEX,2006,76.498245\nMexico,MEX,2007,76.50473\nMexico,MEX,2008,76.50904\nMexico,MEX,2009,76.5144\nMexico,MEX,2010,76.524445\nMexico,MEX,2011,76.56678\nMexico,MEX,2012,76.65852\nMexico,MEX,2013,76.79558\nMexico,MEX,2014,76.97414\nMexico,MEX,2015,77.190384\nMexico,MEX,2016,77.440506\nMexico,MEX,2017,77.720695\nMexico,MEX,2018,78.02712\nMexico,MEX,2019,78.35599\nMexico,MEX,2020,78.67796\nMexico,MEX,2021,78.9324\nMexico,MEX,2022,79.199684\nMexico,MEX,2023,79.473495\nMexico,MEX,2024,79.75388\n```\n\nHow much did share of population living in urban areas change for Mexico between 1990 and 2024?","response":"It moved from 71.46 % in 1990 to 79.75 % in 2024, a change of 8.29 % (+11.61%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nMexico,MEX,1990,71.45901\nMexico,MEX,1991,71.8594\nMexico,MEX,1992,72.24061\nMexico,MEX,1993,72.60551\nMexico,MEX,1994,72.95656\nMexico,MEX,1995,73.296234\nMexico,MEX,1996,73.62699\nMexico,MEX,1997,73.95131\nMexico,MEX,1998,74.271645\nMexico,MEX,1999,74.59048\nMexico,MEX,2000,74.92031\nMexico,MEX,2001,75.29076\nMexico,MEX,2002,75.684074\nMexico,MEX,2003,76.04617\nMexico,MEX,2004,76.32744\nMexico,MEX,2005,76.47486\nMexico,MEX,2006,76.498245\nMexico,MEX,2007,76.50473\nMexico,MEX,2008,76.50904\nMexico,MEX,2009,76.5144\nMexico,MEX,2010,76.524445\nMexico,MEX,2011,76.56678\nMexico,MEX,2012,76.65852\nMexico,MEX,2013,76.79558\nMexico,MEX,2014,76.97414\nMexico,MEX,2015,77.190384\nMexico,MEX,2016,77.440506\nMexico,MEX,2017,77.720695\nMexico,MEX,2018,78.02712\nMexico,MEX,2019,78.35599\nMexico,MEX,2020,78.67796\nMexico,MEX,2021,78.9324\nMexico,MEX,2022,79.199684\nMexico,MEX,2023,79.473495\nMexico,MEX,2024,79.75388\n```\n\nWas share of population living in urban areas in Mexico higher in 1990 or 2011?","response":"Higher in 2011. The chart gives 71.46 % for 1990 and 76.57 % for 2011, a difference of 5.11 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nMexico,MEX,1990,71.45901\nMexico,MEX,1991,71.8594\nMexico,MEX,1992,72.24061\nMexico,MEX,1993,72.60551\nMexico,MEX,1994,72.95656\nMexico,MEX,1995,73.296234\nMexico,MEX,1996,73.62699\nMexico,MEX,1997,73.95131\nMexico,MEX,1998,74.271645\nMexico,MEX,1999,74.59048\nMexico,MEX,2000,74.92031\nMexico,MEX,2001,75.29076\nMexico,MEX,2002,75.684074\nMexico,MEX,2003,76.04617\nMexico,MEX,2004,76.32744\nMexico,MEX,2005,76.47486\nMexico,MEX,2006,76.498245\nMexico,MEX,2007,76.50473\nMexico,MEX,2008,76.50904\nMexico,MEX,2009,76.5144\nMexico,MEX,2010,76.524445\nMexico,MEX,2011,76.56678\nMexico,MEX,2012,76.65852\nMexico,MEX,2013,76.79558\nMexico,MEX,2014,76.97414\nMexico,MEX,2015,77.190384\nMexico,MEX,2016,77.440506\nMexico,MEX,2017,77.720695\nMexico,MEX,2018,78.02712\nMexico,MEX,2019,78.35599\nMexico,MEX,2020,78.67796\nMexico,MEX,2021,78.9324\nMexico,MEX,2022,79.199684\nMexico,MEX,2023,79.473495\nMexico,MEX,2024,79.75388\n```\n\nBased on this chart, is share of population living in urban areas in Mexico rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 71.46 % to 79.75 %, a change of +11.61%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nMexico,MEX,1990,71.45901\nMexico,MEX,1991,71.8594\nMexico,MEX,1992,72.24061\nMexico,MEX,1993,72.60551\nMexico,MEX,1994,72.95656\nMexico,MEX,1995,73.296234\nMexico,MEX,1996,73.62699\nMexico,MEX,1997,73.95131\nMexico,MEX,1998,74.271645\nMexico,MEX,1999,74.59048\nMexico,MEX,2000,74.92031\nMexico,MEX,2001,75.29076\nMexico,MEX,2002,75.684074\nMexico,MEX,2003,76.04617\nMexico,MEX,2004,76.32744\nMexico,MEX,2005,76.47486\nMexico,MEX,2006,76.498245\nMexico,MEX,2007,76.50473\nMexico,MEX,2008,76.50904\nMexico,MEX,2009,76.5144\nMexico,MEX,2010,76.524445\nMexico,MEX,2011,76.56678\nMexico,MEX,2012,76.65852\nMexico,MEX,2013,76.79558\nMexico,MEX,2014,76.97414\nMexico,MEX,2015,77.190384\nMexico,MEX,2016,77.440506\nMexico,MEX,2017,77.720695\nMexico,MEX,2018,78.02712\nMexico,MEX,2019,78.35599\nMexico,MEX,2020,78.67796\nMexico,MEX,2021,78.9324\nMexico,MEX,2022,79.199684\nMexico,MEX,2023,79.473495\nMexico,MEX,2024,79.75388\n```\n\nThis chart makes the change in share of population living in urban areas for Mexico look dramatic. Is it?","response":"The values change by +11.61%, from 71.46 % to 79.75 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nMexico,MEX,1990,71.45901\nMexico,MEX,1991,71.8594\nMexico,MEX,1992,72.24061\nMexico,MEX,1993,72.60551\nMexico,MEX,1994,72.95656\nMexico,MEX,1995,73.296234\nMexico,MEX,1996,73.62699\nMexico,MEX,1997,73.95131\nMexico,MEX,1998,74.271645\nMexico,MEX,1999,74.59048\nMexico,MEX,2000,74.92031\nMexico,MEX,2001,75.29076\nMexico,MEX,2002,75.684074\nMexico,MEX,2003,76.04617\nMexico,MEX,2004,76.32744\nMexico,MEX,2005,76.47486\nMexico,MEX,2006,76.498245\nMexico,MEX,2007,76.50473\nMexico,MEX,2008,76.50904\nMexico,MEX,2009,76.5144\nMexico,MEX,2010,76.524445\nMexico,MEX,2011,76.56678\nMexico,MEX,2012,76.65852\nMexico,MEX,2013,76.79558\nMexico,MEX,2014,76.97414\nMexico,MEX,2015,77.190384\nMexico,MEX,2016,77.440506\nMexico,MEX,2017,77.720695\nMexico,MEX,2018,78.02712\nMexico,MEX,2019,78.35599\nMexico,MEX,2020,78.67796\nMexico,MEX,2021,78.9324\nMexico,MEX,2022,79.199684\nMexico,MEX,2023,79.473495\nMexico,MEX,2024,79.75388\n```\n\nWhat was share of population living in urban areas for Mexico in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 71.46 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Mexico__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nTurkey,TUR,1990,51.031395\nTurkey,TUR,1991,51.949085\nTurkey,TUR,1992,52.79298\nTurkey,TUR,1993,53.582783\nTurkey,TUR,1994,54.334778\nTurkey,TUR,1995,55.06524\nTurkey,TUR,1996,55.790443\nTurkey,TUR,1997,56.52667\nTurkey,TUR,1998,57.290184\nTurkey,TUR,1999,58.097275\nTurkey,TUR,2000,58.97061\nTurkey,TUR,2001,59.872246\nTurkey,TUR,2002,60.738533\nTurkey,TUR,2003,61.584507\nTurkey,TUR,2004,62.438847\nTurkey,TUR,2005,63.330246\nTurkey,TUR,2006,64.28739\nTurkey,TUR,2007,65.33896\nTurkey,TUR,2008,66.51365\nTurkey,TUR,2009,67.84014\nTurkey,TUR,2010,69.34712\nTurkey,TUR,2011,71.00287\nTurkey,TUR,2012,73.77887\nTurkey,TUR,2013,78.521835\nTurkey,TUR,2014,83.602486\nTurkey,TUR,2015,87.21671\nTurkey,TUR,2016,88.1021\nTurkey,TUR,2017,88.03205\nTurkey,TUR,2018,88.16557\nTurkey,TUR,2019,88.66181\nTurkey,TUR,2020,88.93031\nTurkey,TUR,2021,89.17621\nTurkey,TUR,2022,89.03812\nTurkey,TUR,2023,89.02184\nTurkey,TUR,2024,89.344315\n```\n\nAccording to this chart, what was share of population living in urban areas in Turkey in 2018?","response":"Reading the plotted point for 2018, share of population living in urban areas in Turkey was 88.17 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nTurkey,TUR,1990,51.031395\nTurkey,TUR,1991,51.949085\nTurkey,TUR,1992,52.79298\nTurkey,TUR,1993,53.582783\nTurkey,TUR,1994,54.334778\nTurkey,TUR,1995,55.06524\nTurkey,TUR,1996,55.790443\nTurkey,TUR,1997,56.52667\nTurkey,TUR,1998,57.290184\nTurkey,TUR,1999,58.097275\nTurkey,TUR,2000,58.97061\nTurkey,TUR,2001,59.872246\nTurkey,TUR,2002,60.738533\nTurkey,TUR,2003,61.584507\nTurkey,TUR,2004,62.438847\nTurkey,TUR,2005,63.330246\nTurkey,TUR,2006,64.28739\nTurkey,TUR,2007,65.33896\nTurkey,TUR,2008,66.51365\nTurkey,TUR,2009,67.84014\nTurkey,TUR,2010,69.34712\nTurkey,TUR,2011,71.00287\nTurkey,TUR,2012,73.77887\nTurkey,TUR,2013,78.521835\nTurkey,TUR,2014,83.602486\nTurkey,TUR,2015,87.21671\nTurkey,TUR,2016,88.1021\nTurkey,TUR,2017,88.03205\nTurkey,TUR,2018,88.16557\nTurkey,TUR,2019,88.66181\nTurkey,TUR,2020,88.93031\nTurkey,TUR,2021,89.17621\nTurkey,TUR,2022,89.03812\nTurkey,TUR,2023,89.02184\nTurkey,TUR,2024,89.344315\n```\n\nIn which year shown does share of population living in urban areas reach its highest value for Turkey?","response":"The series peaks in 2024, at 89.34 %. The lowest point shown is 1990, at 51.03 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nTurkey,TUR,1990,51.031395\nTurkey,TUR,1991,51.949085\nTurkey,TUR,1992,52.79298\nTurkey,TUR,1993,53.582783\nTurkey,TUR,1994,54.334778\nTurkey,TUR,1995,55.06524\nTurkey,TUR,1996,55.790443\nTurkey,TUR,1997,56.52667\nTurkey,TUR,1998,57.290184\nTurkey,TUR,1999,58.097275\nTurkey,TUR,2000,58.97061\nTurkey,TUR,2001,59.872246\nTurkey,TUR,2002,60.738533\nTurkey,TUR,2003,61.584507\nTurkey,TUR,2004,62.438847\nTurkey,TUR,2005,63.330246\nTurkey,TUR,2006,64.28739\nTurkey,TUR,2007,65.33896\nTurkey,TUR,2008,66.51365\nTurkey,TUR,2009,67.84014\nTurkey,TUR,2010,69.34712\nTurkey,TUR,2011,71.00287\nTurkey,TUR,2012,73.77887\nTurkey,TUR,2013,78.521835\nTurkey,TUR,2014,83.602486\nTurkey,TUR,2015,87.21671\nTurkey,TUR,2016,88.1021\nTurkey,TUR,2017,88.03205\nTurkey,TUR,2018,88.16557\nTurkey,TUR,2019,88.66181\nTurkey,TUR,2020,88.93031\nTurkey,TUR,2021,89.17621\nTurkey,TUR,2022,89.03812\nTurkey,TUR,2023,89.02184\nTurkey,TUR,2024,89.344315\n```\n\nHow much did share of population living in urban areas change for Turkey between 1990 and 2024?","response":"It moved from 51.03 % in 1990 to 89.34 % in 2024, a change of 38.31 % (+75.08%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nTurkey,TUR,1990,51.031395\nTurkey,TUR,1991,51.949085\nTurkey,TUR,1992,52.79298\nTurkey,TUR,1993,53.582783\nTurkey,TUR,1994,54.334778\nTurkey,TUR,1995,55.06524\nTurkey,TUR,1996,55.790443\nTurkey,TUR,1997,56.52667\nTurkey,TUR,1998,57.290184\nTurkey,TUR,1999,58.097275\nTurkey,TUR,2000,58.97061\nTurkey,TUR,2001,59.872246\nTurkey,TUR,2002,60.738533\nTurkey,TUR,2003,61.584507\nTurkey,TUR,2004,62.438847\nTurkey,TUR,2005,63.330246\nTurkey,TUR,2006,64.28739\nTurkey,TUR,2007,65.33896\nTurkey,TUR,2008,66.51365\nTurkey,TUR,2009,67.84014\nTurkey,TUR,2010,69.34712\nTurkey,TUR,2011,71.00287\nTurkey,TUR,2012,73.77887\nTurkey,TUR,2013,78.521835\nTurkey,TUR,2014,83.602486\nTurkey,TUR,2015,87.21671\nTurkey,TUR,2016,88.1021\nTurkey,TUR,2017,88.03205\nTurkey,TUR,2018,88.16557\nTurkey,TUR,2019,88.66181\nTurkey,TUR,2020,88.93031\nTurkey,TUR,2021,89.17621\nTurkey,TUR,2022,89.03812\nTurkey,TUR,2023,89.02184\nTurkey,TUR,2024,89.344315\n```\n\nWas share of population living in urban areas in Turkey higher in 1990 or 2018?","response":"Higher in 2018. The chart gives 51.03 % for 1990 and 88.17 % for 2018, a difference of 37.13 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nTurkey,TUR,1990,51.031395\nTurkey,TUR,1991,51.949085\nTurkey,TUR,1992,52.79298\nTurkey,TUR,1993,53.582783\nTurkey,TUR,1994,54.334778\nTurkey,TUR,1995,55.06524\nTurkey,TUR,1996,55.790443\nTurkey,TUR,1997,56.52667\nTurkey,TUR,1998,57.290184\nTurkey,TUR,1999,58.097275\nTurkey,TUR,2000,58.97061\nTurkey,TUR,2001,59.872246\nTurkey,TUR,2002,60.738533\nTurkey,TUR,2003,61.584507\nTurkey,TUR,2004,62.438847\nTurkey,TUR,2005,63.330246\nTurkey,TUR,2006,64.28739\nTurkey,TUR,2007,65.33896\nTurkey,TUR,2008,66.51365\nTurkey,TUR,2009,67.84014\nTurkey,TUR,2010,69.34712\nTurkey,TUR,2011,71.00287\nTurkey,TUR,2012,73.77887\nTurkey,TUR,2013,78.521835\nTurkey,TUR,2014,83.602486\nTurkey,TUR,2015,87.21671\nTurkey,TUR,2016,88.1021\nTurkey,TUR,2017,88.03205\nTurkey,TUR,2018,88.16557\nTurkey,TUR,2019,88.66181\nTurkey,TUR,2020,88.93031\nTurkey,TUR,2021,89.17621\nTurkey,TUR,2022,89.03812\nTurkey,TUR,2023,89.02184\nTurkey,TUR,2024,89.344315\n```\n\nAccording to this chart, what was share of population living in urban areas in Turkey in 2018?","response":"Reading the plotted point for 2018, share of population living in urban areas in Turkey was 88.17 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nTurkey,TUR,1990,51.031395\nTurkey,TUR,1991,51.949085\nTurkey,TUR,1992,52.79298\nTurkey,TUR,1993,53.582783\nTurkey,TUR,1994,54.334778\nTurkey,TUR,1995,55.06524\nTurkey,TUR,1996,55.790443\nTurkey,TUR,1997,56.52667\nTurkey,TUR,1998,57.290184\nTurkey,TUR,1999,58.097275\nTurkey,TUR,2000,58.97061\nTurkey,TUR,2001,59.872246\nTurkey,TUR,2002,60.738533\nTurkey,TUR,2003,61.584507\nTurkey,TUR,2004,62.438847\nTurkey,TUR,2005,63.330246\nTurkey,TUR,2006,64.28739\nTurkey,TUR,2007,65.33896\nTurkey,TUR,2008,66.51365\nTurkey,TUR,2009,67.84014\nTurkey,TUR,2010,69.34712\nTurkey,TUR,2011,71.00287\nTurkey,TUR,2012,73.77887\nTurkey,TUR,2013,78.521835\nTurkey,TUR,2014,83.602486\nTurkey,TUR,2015,87.21671\nTurkey,TUR,2016,88.1021\nTurkey,TUR,2017,88.03205\nTurkey,TUR,2018,88.16557\nTurkey,TUR,2019,88.66181\nTurkey,TUR,2020,88.93031\nTurkey,TUR,2021,89.17621\nTurkey,TUR,2022,89.03812\nTurkey,TUR,2023,89.02184\nTurkey,TUR,2024,89.344315\n```\n\nIn which year shown does share of population living in urban areas reach its highest value for Turkey?","response":"The series peaks in 2024, at 89.34 %. The lowest point shown is 1990, at 51.03 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nTurkey,TUR,1990,51.031395\nTurkey,TUR,1991,51.949085\nTurkey,TUR,1992,52.79298\nTurkey,TUR,1993,53.582783\nTurkey,TUR,1994,54.334778\nTurkey,TUR,1995,55.06524\nTurkey,TUR,1996,55.790443\nTurkey,TUR,1997,56.52667\nTurkey,TUR,1998,57.290184\nTurkey,TUR,1999,58.097275\nTurkey,TUR,2000,58.97061\nTurkey,TUR,2001,59.872246\nTurkey,TUR,2002,60.738533\nTurkey,TUR,2003,61.584507\nTurkey,TUR,2004,62.438847\nTurkey,TUR,2005,63.330246\nTurkey,TUR,2006,64.28739\nTurkey,TUR,2007,65.33896\nTurkey,TUR,2008,66.51365\nTurkey,TUR,2009,67.84014\nTurkey,TUR,2010,69.34712\nTurkey,TUR,2011,71.00287\nTurkey,TUR,2012,73.77887\nTurkey,TUR,2013,78.521835\nTurkey,TUR,2014,83.602486\nTurkey,TUR,2015,87.21671\nTurkey,TUR,2016,88.1021\nTurkey,TUR,2017,88.03205\nTurkey,TUR,2018,88.16557\nTurkey,TUR,2019,88.66181\nTurkey,TUR,2020,88.93031\nTurkey,TUR,2021,89.17621\nTurkey,TUR,2022,89.03812\nTurkey,TUR,2023,89.02184\nTurkey,TUR,2024,89.344315\n```\n\nHow much did share of population living in urban areas change for Turkey between 1990 and 2024?","response":"It moved from 51.03 % in 1990 to 89.34 % in 2024, a change of 38.31 % (+75.08%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nTurkey,TUR,1990,51.031395\nTurkey,TUR,1991,51.949085\nTurkey,TUR,1992,52.79298\nTurkey,TUR,1993,53.582783\nTurkey,TUR,1994,54.334778\nTurkey,TUR,1995,55.06524\nTurkey,TUR,1996,55.790443\nTurkey,TUR,1997,56.52667\nTurkey,TUR,1998,57.290184\nTurkey,TUR,1999,58.097275\nTurkey,TUR,2000,58.97061\nTurkey,TUR,2001,59.872246\nTurkey,TUR,2002,60.738533\nTurkey,TUR,2003,61.584507\nTurkey,TUR,2004,62.438847\nTurkey,TUR,2005,63.330246\nTurkey,TUR,2006,64.28739\nTurkey,TUR,2007,65.33896\nTurkey,TUR,2008,66.51365\nTurkey,TUR,2009,67.84014\nTurkey,TUR,2010,69.34712\nTurkey,TUR,2011,71.00287\nTurkey,TUR,2012,73.77887\nTurkey,TUR,2013,78.521835\nTurkey,TUR,2014,83.602486\nTurkey,TUR,2015,87.21671\nTurkey,TUR,2016,88.1021\nTurkey,TUR,2017,88.03205\nTurkey,TUR,2018,88.16557\nTurkey,TUR,2019,88.66181\nTurkey,TUR,2020,88.93031\nTurkey,TUR,2021,89.17621\nTurkey,TUR,2022,89.03812\nTurkey,TUR,2023,89.02184\nTurkey,TUR,2024,89.344315\n```\n\nWas share of population living in urban areas in Turkey higher in 1990 or 2018?","response":"Higher in 2018. The chart gives 51.03 % for 1990 and 88.17 % for 2018, a difference of 37.13 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nTurkey,TUR,1990,51.031395\nTurkey,TUR,1991,51.949085\nTurkey,TUR,1992,52.79298\nTurkey,TUR,1993,53.582783\nTurkey,TUR,1994,54.334778\nTurkey,TUR,1995,55.06524\nTurkey,TUR,1996,55.790443\nTurkey,TUR,1997,56.52667\nTurkey,TUR,1998,57.290184\nTurkey,TUR,1999,58.097275\nTurkey,TUR,2000,58.97061\nTurkey,TUR,2001,59.872246\nTurkey,TUR,2002,60.738533\nTurkey,TUR,2003,61.584507\nTurkey,TUR,2004,62.438847\nTurkey,TUR,2005,63.330246\nTurkey,TUR,2006,64.28739\nTurkey,TUR,2007,65.33896\nTurkey,TUR,2008,66.51365\nTurkey,TUR,2009,67.84014\nTurkey,TUR,2010,69.34712\nTurkey,TUR,2011,71.00287\nTurkey,TUR,2012,73.77887\nTurkey,TUR,2013,78.521835\nTurkey,TUR,2014,83.602486\nTurkey,TUR,2015,87.21671\nTurkey,TUR,2016,88.1021\nTurkey,TUR,2017,88.03205\nTurkey,TUR,2018,88.16557\nTurkey,TUR,2019,88.66181\nTurkey,TUR,2020,88.93031\nTurkey,TUR,2021,89.17621\nTurkey,TUR,2022,89.03812\nTurkey,TUR,2023,89.02184\nTurkey,TUR,2024,89.344315\n```\n\nThis chart appears to show share of population living in urban areas in Turkey rising steeply. How large is the increase actually?","response":"The plotted values run from 51.03 % to 89.34 %, so the actual change is +75.08%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 50.2651 instead of zero, which magnifies the visual change by roughly 2.42x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nTurkey,TUR,1990,51.031395\nTurkey,TUR,1991,51.949085\nTurkey,TUR,1992,52.79298\nTurkey,TUR,1993,53.582783\nTurkey,TUR,1994,54.334778\nTurkey,TUR,1995,55.06524\nTurkey,TUR,1996,55.790443\nTurkey,TUR,1997,56.52667\nTurkey,TUR,1998,57.290184\nTurkey,TUR,1999,58.097275\nTurkey,TUR,2000,58.97061\nTurkey,TUR,2001,59.872246\nTurkey,TUR,2002,60.738533\nTurkey,TUR,2003,61.584507\nTurkey,TUR,2004,62.438847\nTurkey,TUR,2005,63.330246\nTurkey,TUR,2006,64.28739\nTurkey,TUR,2007,65.33896\nTurkey,TUR,2008,66.51365\nTurkey,TUR,2009,67.84014\nTurkey,TUR,2010,69.34712\nTurkey,TUR,2011,71.00287\nTurkey,TUR,2012,73.77887\nTurkey,TUR,2013,78.521835\nTurkey,TUR,2014,83.602486\nTurkey,TUR,2015,87.21671\nTurkey,TUR,2016,88.1021\nTurkey,TUR,2017,88.03205\nTurkey,TUR,2018,88.16557\nTurkey,TUR,2019,88.66181\nTurkey,TUR,2020,88.93031\nTurkey,TUR,2021,89.17621\nTurkey,TUR,2022,89.03812\nTurkey,TUR,2023,89.02184\nTurkey,TUR,2024,89.344315\n```\n\nBased on this chart, is share of population living in urban areas in Turkey rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 51.03 % to 89.34 %, a change of +75.08%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nTurkey,TUR,1990,51.031395\nTurkey,TUR,1991,51.949085\nTurkey,TUR,1992,52.79298\nTurkey,TUR,1993,53.582783\nTurkey,TUR,1994,54.334778\nTurkey,TUR,1995,55.06524\nTurkey,TUR,1996,55.790443\nTurkey,TUR,1997,56.52667\nTurkey,TUR,1998,57.290184\nTurkey,TUR,1999,58.097275\nTurkey,TUR,2000,58.97061\nTurkey,TUR,2001,59.872246\nTurkey,TUR,2002,60.738533\nTurkey,TUR,2003,61.584507\nTurkey,TUR,2004,62.438847\nTurkey,TUR,2005,63.330246\nTurkey,TUR,2006,64.28739\nTurkey,TUR,2007,65.33896\nTurkey,TUR,2008,66.51365\nTurkey,TUR,2009,67.84014\nTurkey,TUR,2010,69.34712\nTurkey,TUR,2011,71.00287\nTurkey,TUR,2012,73.77887\nTurkey,TUR,2013,78.521835\nTurkey,TUR,2014,83.602486\nTurkey,TUR,2015,87.21671\nTurkey,TUR,2016,88.1021\nTurkey,TUR,2017,88.03205\nTurkey,TUR,2018,88.16557\nTurkey,TUR,2019,88.66181\nTurkey,TUR,2020,88.93031\nTurkey,TUR,2021,89.17621\nTurkey,TUR,2022,89.03812\nTurkey,TUR,2023,89.02184\nTurkey,TUR,2024,89.344315\n```\n\nHow does Turkey compare with Nigeria on this measure?","response":"This chart covers Turkey only, so Nigeria is not plotted and I cannot compare them from it. The chart does support statements about Turkey on its own: the series runs from 51.03 % in 1990 to 89.34 % in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Turkey__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nVietnam,VNM,1990,19.173504\nVietnam,VNM,1991,19.43968\nVietnam,VNM,1992,19.82525\nVietnam,VNM,1993,20.305767\nVietnam,VNM,1994,20.856783\nVietnam,VNM,1995,21.453846\nVietnam,VNM,1996,22.072512\nVietnam,VNM,1997,22.688328\nVietnam,VNM,1998,23.27685\nVietnam,VNM,1999,23.821228\nVietnam,VNM,2000,24.367252\nVietnam,VNM,2001,24.948936\nVietnam,VNM,2002,25.554092\nVietnam,VNM,2003,26.174541\nVietnam,VNM,2004,26.8021\nVietnam,VNM,2005,27.428589\nVietnam,VNM,2006,28.04583\nVietnam,VNM,2007,28.645638\nVietnam,VNM,2008,29.219833\nVietnam,VNM,2009,29.758135\nVietnam,VNM,2010,30.250402\nVietnam,VNM,2011,30.699604\nVietnam,VNM,2012,31.122278\nVietnam,VNM,2013,31.53342\nVietnam,VNM,2014,31.948027\nVietnam,VNM,2015,32.381096\nVietnam,VNM,2016,32.84762\nVietnam,VNM,2017,33.362595\nVietnam,VNM,2018,33.94102\nVietnam,VNM,2019,34.623913\nVietnam,VNM,2020,35.570667\nVietnam,VNM,2021,36.654064\nVietnam,VNM,2022,37.54785\nVietnam,VNM,2023,38.12989\nVietnam,VNM,2024,38.49007\n```\n\nAccording to this chart, what was share of population living in urban areas in Vietnam in 1995?","response":"Reading the plotted point for 1995, share of population living in urban areas in Vietnam was 21.45 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nVietnam,VNM,1990,19.173504\nVietnam,VNM,1991,19.43968\nVietnam,VNM,1992,19.82525\nVietnam,VNM,1993,20.305767\nVietnam,VNM,1994,20.856783\nVietnam,VNM,1995,21.453846\nVietnam,VNM,1996,22.072512\nVietnam,VNM,1997,22.688328\nVietnam,VNM,1998,23.27685\nVietnam,VNM,1999,23.821228\nVietnam,VNM,2000,24.367252\nVietnam,VNM,2001,24.948936\nVietnam,VNM,2002,25.554092\nVietnam,VNM,2003,26.174541\nVietnam,VNM,2004,26.8021\nVietnam,VNM,2005,27.428589\nVietnam,VNM,2006,28.04583\nVietnam,VNM,2007,28.645638\nVietnam,VNM,2008,29.219833\nVietnam,VNM,2009,29.758135\nVietnam,VNM,2010,30.250402\nVietnam,VNM,2011,30.699604\nVietnam,VNM,2012,31.122278\nVietnam,VNM,2013,31.53342\nVietnam,VNM,2014,31.948027\nVietnam,VNM,2015,32.381096\nVietnam,VNM,2016,32.84762\nVietnam,VNM,2017,33.362595\nVietnam,VNM,2018,33.94102\nVietnam,VNM,2019,34.623913\nVietnam,VNM,2020,35.570667\nVietnam,VNM,2021,36.654064\nVietnam,VNM,2022,37.54785\nVietnam,VNM,2023,38.12989\nVietnam,VNM,2024,38.49007\n```\n\nIn which year shown does share of population living in urban areas reach its highest value for Vietnam?","response":"The series peaks in 2024, at 38.49 %. The lowest point shown is 1990, at 19.17 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nVietnam,VNM,1990,19.173504\nVietnam,VNM,1991,19.43968\nVietnam,VNM,1992,19.82525\nVietnam,VNM,1993,20.305767\nVietnam,VNM,1994,20.856783\nVietnam,VNM,1995,21.453846\nVietnam,VNM,1996,22.072512\nVietnam,VNM,1997,22.688328\nVietnam,VNM,1998,23.27685\nVietnam,VNM,1999,23.821228\nVietnam,VNM,2000,24.367252\nVietnam,VNM,2001,24.948936\nVietnam,VNM,2002,25.554092\nVietnam,VNM,2003,26.174541\nVietnam,VNM,2004,26.8021\nVietnam,VNM,2005,27.428589\nVietnam,VNM,2006,28.04583\nVietnam,VNM,2007,28.645638\nVietnam,VNM,2008,29.219833\nVietnam,VNM,2009,29.758135\nVietnam,VNM,2010,30.250402\nVietnam,VNM,2011,30.699604\nVietnam,VNM,2012,31.122278\nVietnam,VNM,2013,31.53342\nVietnam,VNM,2014,31.948027\nVietnam,VNM,2015,32.381096\nVietnam,VNM,2016,32.84762\nVietnam,VNM,2017,33.362595\nVietnam,VNM,2018,33.94102\nVietnam,VNM,2019,34.623913\nVietnam,VNM,2020,35.570667\nVietnam,VNM,2021,36.654064\nVietnam,VNM,2022,37.54785\nVietnam,VNM,2023,38.12989\nVietnam,VNM,2024,38.49007\n```\n\nHow much did share of population living in urban areas change for Vietnam between 1990 and 2024?","response":"It moved from 19.17 % in 1990 to 38.49 % in 2024, a change of 19.32 % (+100.75%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nVietnam,VNM,1990,19.173504\nVietnam,VNM,1991,19.43968\nVietnam,VNM,1992,19.82525\nVietnam,VNM,1993,20.305767\nVietnam,VNM,1994,20.856783\nVietnam,VNM,1995,21.453846\nVietnam,VNM,1996,22.072512\nVietnam,VNM,1997,22.688328\nVietnam,VNM,1998,23.27685\nVietnam,VNM,1999,23.821228\nVietnam,VNM,2000,24.367252\nVietnam,VNM,2001,24.948936\nVietnam,VNM,2002,25.554092\nVietnam,VNM,2003,26.174541\nVietnam,VNM,2004,26.8021\nVietnam,VNM,2005,27.428589\nVietnam,VNM,2006,28.04583\nVietnam,VNM,2007,28.645638\nVietnam,VNM,2008,29.219833\nVietnam,VNM,2009,29.758135\nVietnam,VNM,2010,30.250402\nVietnam,VNM,2011,30.699604\nVietnam,VNM,2012,31.122278\nVietnam,VNM,2013,31.53342\nVietnam,VNM,2014,31.948027\nVietnam,VNM,2015,32.381096\nVietnam,VNM,2016,32.84762\nVietnam,VNM,2017,33.362595\nVietnam,VNM,2018,33.94102\nVietnam,VNM,2019,34.623913\nVietnam,VNM,2020,35.570667\nVietnam,VNM,2021,36.654064\nVietnam,VNM,2022,37.54785\nVietnam,VNM,2023,38.12989\nVietnam,VNM,2024,38.49007\n```\n\nWas share of population living in urban areas in Vietnam higher in 1995 or 2016?","response":"Higher in 2016. The chart gives 21.45 % for 1995 and 32.85 % for 2016, a difference of 11.39 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nVietnam,VNM,1990,19.173504\nVietnam,VNM,1991,19.43968\nVietnam,VNM,1992,19.82525\nVietnam,VNM,1993,20.305767\nVietnam,VNM,1994,20.856783\nVietnam,VNM,1995,21.453846\nVietnam,VNM,1996,22.072512\nVietnam,VNM,1997,22.688328\nVietnam,VNM,1998,23.27685\nVietnam,VNM,1999,23.821228\nVietnam,VNM,2000,24.367252\nVietnam,VNM,2001,24.948936\nVietnam,VNM,2002,25.554092\nVietnam,VNM,2003,26.174541\nVietnam,VNM,2004,26.8021\nVietnam,VNM,2005,27.428589\nVietnam,VNM,2006,28.04583\nVietnam,VNM,2007,28.645638\nVietnam,VNM,2008,29.219833\nVietnam,VNM,2009,29.758135\nVietnam,VNM,2010,30.250402\nVietnam,VNM,2011,30.699604\nVietnam,VNM,2012,31.122278\nVietnam,VNM,2013,31.53342\nVietnam,VNM,2014,31.948027\nVietnam,VNM,2015,32.381096\nVietnam,VNM,2016,32.84762\nVietnam,VNM,2017,33.362595\nVietnam,VNM,2018,33.94102\nVietnam,VNM,2019,34.623913\nVietnam,VNM,2020,35.570667\nVietnam,VNM,2021,36.654064\nVietnam,VNM,2022,37.54785\nVietnam,VNM,2023,38.12989\nVietnam,VNM,2024,38.49007\n```\n\nAccording to this chart, what was share of population living in urban areas in Vietnam in 1995?","response":"Reading the plotted point for 1995, share of population living in urban areas in Vietnam was 21.45 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nVietnam,VNM,1990,19.173504\nVietnam,VNM,1991,19.43968\nVietnam,VNM,1992,19.82525\nVietnam,VNM,1993,20.305767\nVietnam,VNM,1994,20.856783\nVietnam,VNM,1995,21.453846\nVietnam,VNM,1996,22.072512\nVietnam,VNM,1997,22.688328\nVietnam,VNM,1998,23.27685\nVietnam,VNM,1999,23.821228\nVietnam,VNM,2000,24.367252\nVietnam,VNM,2001,24.948936\nVietnam,VNM,2002,25.554092\nVietnam,VNM,2003,26.174541\nVietnam,VNM,2004,26.8021\nVietnam,VNM,2005,27.428589\nVietnam,VNM,2006,28.04583\nVietnam,VNM,2007,28.645638\nVietnam,VNM,2008,29.219833\nVietnam,VNM,2009,29.758135\nVietnam,VNM,2010,30.250402\nVietnam,VNM,2011,30.699604\nVietnam,VNM,2012,31.122278\nVietnam,VNM,2013,31.53342\nVietnam,VNM,2014,31.948027\nVietnam,VNM,2015,32.381096\nVietnam,VNM,2016,32.84762\nVietnam,VNM,2017,33.362595\nVietnam,VNM,2018,33.94102\nVietnam,VNM,2019,34.623913\nVietnam,VNM,2020,35.570667\nVietnam,VNM,2021,36.654064\nVietnam,VNM,2022,37.54785\nVietnam,VNM,2023,38.12989\nVietnam,VNM,2024,38.49007\n```\n\nIn which year shown does share of population living in urban areas reach its highest value for Vietnam?","response":"The series peaks in 2024, at 38.49 %. The lowest point shown is 1990, at 19.17 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nVietnam,VNM,1990,19.173504\nVietnam,VNM,1991,19.43968\nVietnam,VNM,1992,19.82525\nVietnam,VNM,1993,20.305767\nVietnam,VNM,1994,20.856783\nVietnam,VNM,1995,21.453846\nVietnam,VNM,1996,22.072512\nVietnam,VNM,1997,22.688328\nVietnam,VNM,1998,23.27685\nVietnam,VNM,1999,23.821228\nVietnam,VNM,2000,24.367252\nVietnam,VNM,2001,24.948936\nVietnam,VNM,2002,25.554092\nVietnam,VNM,2003,26.174541\nVietnam,VNM,2004,26.8021\nVietnam,VNM,2005,27.428589\nVietnam,VNM,2006,28.04583\nVietnam,VNM,2007,28.645638\nVietnam,VNM,2008,29.219833\nVietnam,VNM,2009,29.758135\nVietnam,VNM,2010,30.250402\nVietnam,VNM,2011,30.699604\nVietnam,VNM,2012,31.122278\nVietnam,VNM,2013,31.53342\nVietnam,VNM,2014,31.948027\nVietnam,VNM,2015,32.381096\nVietnam,VNM,2016,32.84762\nVietnam,VNM,2017,33.362595\nVietnam,VNM,2018,33.94102\nVietnam,VNM,2019,34.623913\nVietnam,VNM,2020,35.570667\nVietnam,VNM,2021,36.654064\nVietnam,VNM,2022,37.54785\nVietnam,VNM,2023,38.12989\nVietnam,VNM,2024,38.49007\n```\n\nHow much did share of population living in urban areas change for Vietnam between 1990 and 2024?","response":"It moved from 19.17 % in 1990 to 38.49 % in 2024, a change of 19.32 % (+100.75%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nVietnam,VNM,1990,19.173504\nVietnam,VNM,1991,19.43968\nVietnam,VNM,1992,19.82525\nVietnam,VNM,1993,20.305767\nVietnam,VNM,1994,20.856783\nVietnam,VNM,1995,21.453846\nVietnam,VNM,1996,22.072512\nVietnam,VNM,1997,22.688328\nVietnam,VNM,1998,23.27685\nVietnam,VNM,1999,23.821228\nVietnam,VNM,2000,24.367252\nVietnam,VNM,2001,24.948936\nVietnam,VNM,2002,25.554092\nVietnam,VNM,2003,26.174541\nVietnam,VNM,2004,26.8021\nVietnam,VNM,2005,27.428589\nVietnam,VNM,2006,28.04583\nVietnam,VNM,2007,28.645638\nVietnam,VNM,2008,29.219833\nVietnam,VNM,2009,29.758135\nVietnam,VNM,2010,30.250402\nVietnam,VNM,2011,30.699604\nVietnam,VNM,2012,31.122278\nVietnam,VNM,2013,31.53342\nVietnam,VNM,2014,31.948027\nVietnam,VNM,2015,32.381096\nVietnam,VNM,2016,32.84762\nVietnam,VNM,2017,33.362595\nVietnam,VNM,2018,33.94102\nVietnam,VNM,2019,34.623913\nVietnam,VNM,2020,35.570667\nVietnam,VNM,2021,36.654064\nVietnam,VNM,2022,37.54785\nVietnam,VNM,2023,38.12989\nVietnam,VNM,2024,38.49007\n```\n\nWas share of population living in urban areas in Vietnam higher in 1995 or 2016?","response":"Higher in 2016. The chart gives 21.45 % for 1995 and 32.85 % for 2016, a difference of 11.39 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nVietnam,VNM,1990,19.173504\nVietnam,VNM,1991,19.43968\nVietnam,VNM,1992,19.82525\nVietnam,VNM,1993,20.305767\nVietnam,VNM,1994,20.856783\nVietnam,VNM,1995,21.453846\nVietnam,VNM,1996,22.072512\nVietnam,VNM,1997,22.688328\nVietnam,VNM,1998,23.27685\nVietnam,VNM,1999,23.821228\nVietnam,VNM,2000,24.367252\nVietnam,VNM,2001,24.948936\nVietnam,VNM,2002,25.554092\nVietnam,VNM,2003,26.174541\nVietnam,VNM,2004,26.8021\nVietnam,VNM,2005,27.428589\nVietnam,VNM,2006,28.04583\nVietnam,VNM,2007,28.645638\nVietnam,VNM,2008,29.219833\nVietnam,VNM,2009,29.758135\nVietnam,VNM,2010,30.250402\nVietnam,VNM,2011,30.699604\nVietnam,VNM,2012,31.122278\nVietnam,VNM,2013,31.53342\nVietnam,VNM,2014,31.948027\nVietnam,VNM,2015,32.381096\nVietnam,VNM,2016,32.84762\nVietnam,VNM,2017,33.362595\nVietnam,VNM,2018,33.94102\nVietnam,VNM,2019,34.623913\nVietnam,VNM,2020,35.570667\nVietnam,VNM,2021,36.654064\nVietnam,VNM,2022,37.54785\nVietnam,VNM,2023,38.12989\nVietnam,VNM,2024,38.49007\n```\n\nThis chart makes the change in share of population living in urban areas for Vietnam look dramatic. Is it?","response":"The values change by +100.75%, from 19.17 % to 38.49 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nVietnam,VNM,1990,19.173504\nVietnam,VNM,1991,19.43968\nVietnam,VNM,1992,19.82525\nVietnam,VNM,1993,20.305767\nVietnam,VNM,1994,20.856783\nVietnam,VNM,1995,21.453846\nVietnam,VNM,1996,22.072512\nVietnam,VNM,1997,22.688328\nVietnam,VNM,1998,23.27685\nVietnam,VNM,1999,23.821228\nVietnam,VNM,2000,24.367252\nVietnam,VNM,2001,24.948936\nVietnam,VNM,2002,25.554092\nVietnam,VNM,2003,26.174541\nVietnam,VNM,2004,26.8021\nVietnam,VNM,2005,27.428589\nVietnam,VNM,2006,28.04583\nVietnam,VNM,2007,28.645638\nVietnam,VNM,2008,29.219833\nVietnam,VNM,2009,29.758135\nVietnam,VNM,2010,30.250402\nVietnam,VNM,2011,30.699604\nVietnam,VNM,2012,31.122278\nVietnam,VNM,2013,31.53342\nVietnam,VNM,2014,31.948027\nVietnam,VNM,2015,32.381096\nVietnam,VNM,2016,32.84762\nVietnam,VNM,2017,33.362595\nVietnam,VNM,2018,33.94102\nVietnam,VNM,2019,34.623913\nVietnam,VNM,2020,35.570667\nVietnam,VNM,2021,36.654064\nVietnam,VNM,2022,37.54785\nVietnam,VNM,2023,38.12989\nVietnam,VNM,2024,38.49007\n```\n\nThis chart appears to show share of population living in urban areas in Vietnam rising steeply. How large is the increase actually?","response":"The plotted values run from 19.17 % to 38.49 %, so the actual change is +100.75%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 18.7872 instead of zero, which magnifies the visual change by roughly 2.07x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of population living in urban areas\nVietnam,VNM,1990,19.173504\nVietnam,VNM,1991,19.43968\nVietnam,VNM,1992,19.82525\nVietnam,VNM,1993,20.305767\nVietnam,VNM,1994,20.856783\nVietnam,VNM,1995,21.453846\nVietnam,VNM,1996,22.072512\nVietnam,VNM,1997,22.688328\nVietnam,VNM,1998,23.27685\nVietnam,VNM,1999,23.821228\nVietnam,VNM,2000,24.367252\nVietnam,VNM,2001,24.948936\nVietnam,VNM,2002,25.554092\nVietnam,VNM,2003,26.174541\nVietnam,VNM,2004,26.8021\nVietnam,VNM,2005,27.428589\nVietnam,VNM,2006,28.04583\nVietnam,VNM,2007,28.645638\nVietnam,VNM,2008,29.219833\nVietnam,VNM,2009,29.758135\nVietnam,VNM,2010,30.250402\nVietnam,VNM,2011,30.699604\nVietnam,VNM,2012,31.122278\nVietnam,VNM,2013,31.53342\nVietnam,VNM,2014,31.948027\nVietnam,VNM,2015,32.381096\nVietnam,VNM,2016,32.84762\nVietnam,VNM,2017,33.362595\nVietnam,VNM,2018,33.94102\nVietnam,VNM,2019,34.623913\nVietnam,VNM,2020,35.570667\nVietnam,VNM,2021,36.654064\nVietnam,VNM,2022,37.54785\nVietnam,VNM,2023,38.12989\nVietnam,VNM,2024,38.49007\n```\n\nWhat caused the change in share of population living in urban areas for Vietnam around 2021?","response":"The chart shows that the change happened: share of population living in urban areas moves to 36.65 % in 2021. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/urban-population-share-2050__Vietnam__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas projected to 2050","source_citation":"HYDE (2023); United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/urban-population-share-2050?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nVietnam,VNM,1990,1177.4452\nVietnam,VNM,1991,1173.7494\nVietnam,VNM,1992,1256.847\nVietnam,VNM,1993,1407.9246\nVietnam,VNM,1994,1544.6514\nVietnam,VNM,1995,1764.7858\nVietnam,VNM,1996,1992.6161\nVietnam,VNM,1997,2262.2302\nVietnam,VNM,1998,2411.8323\nVietnam,VNM,1999,2465.0054\nVietnam,VNM,2000,2775.6035\nVietnam,VNM,2001,3104.3591\nVietnam,VNM,2002,3361.0232\nVietnam,VNM,2003,3586.1633\nVietnam,VNM,2004,4328.84\nVietnam,VNM,2005,4560.3525\nVietnam,VNM,2006,4125.3115\nVietnam,VNM,2007,4427.3457\nVietnam,VNM,2008,5367.823\nVietnam,VNM,2009,5409.7305\nVietnam,VNM,2010,6177.169\nVietnam,VNM,2011,6749.783\nVietnam,VNM,2012,6938.164\nVietnam,VNM,2013,7244.138\nVietnam,VNM,2014,7894.6797\nVietnam,VNM,2015,8731.432\nVietnam,VNM,2016,9326.302\nVietnam,VNM,2017,9981.674\nVietnam,VNM,2018,11210.952\nVietnam,VNM,2019,12433.123\nVietnam,VNM,2020,12527.92\nVietnam,VNM,2021,12365.529\nVietnam,VNM,2022,12976.387\nVietnam,VNM,2023,13711.071\nVietnam,VNM,2024,14618.14\n```\n\nAccording to this chart, what was per capita energy consumption in Vietnam in 2001?","response":"Reading the plotted point for 2001, per capita energy consumption in Vietnam was 3,104.36 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nVietnam,VNM,1990,1177.4452\nVietnam,VNM,1991,1173.7494\nVietnam,VNM,1992,1256.847\nVietnam,VNM,1993,1407.9246\nVietnam,VNM,1994,1544.6514\nVietnam,VNM,1995,1764.7858\nVietnam,VNM,1996,1992.6161\nVietnam,VNM,1997,2262.2302\nVietnam,VNM,1998,2411.8323\nVietnam,VNM,1999,2465.0054\nVietnam,VNM,2000,2775.6035\nVietnam,VNM,2001,3104.3591\nVietnam,VNM,2002,3361.0232\nVietnam,VNM,2003,3586.1633\nVietnam,VNM,2004,4328.84\nVietnam,VNM,2005,4560.3525\nVietnam,VNM,2006,4125.3115\nVietnam,VNM,2007,4427.3457\nVietnam,VNM,2008,5367.823\nVietnam,VNM,2009,5409.7305\nVietnam,VNM,2010,6177.169\nVietnam,VNM,2011,6749.783\nVietnam,VNM,2012,6938.164\nVietnam,VNM,2013,7244.138\nVietnam,VNM,2014,7894.6797\nVietnam,VNM,2015,8731.432\nVietnam,VNM,2016,9326.302\nVietnam,VNM,2017,9981.674\nVietnam,VNM,2018,11210.952\nVietnam,VNM,2019,12433.123\nVietnam,VNM,2020,12527.92\nVietnam,VNM,2021,12365.529\nVietnam,VNM,2022,12976.387\nVietnam,VNM,2023,13711.071\nVietnam,VNM,2024,14618.14\n```\n\nIn which year shown does per capita energy consumption reach its highest value for Vietnam?","response":"The series peaks in 2024, at 14,618.14 kWh. The lowest point shown is 1991, at 1,173.75 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nVietnam,VNM,1990,1177.4452\nVietnam,VNM,1991,1173.7494\nVietnam,VNM,1992,1256.847\nVietnam,VNM,1993,1407.9246\nVietnam,VNM,1994,1544.6514\nVietnam,VNM,1995,1764.7858\nVietnam,VNM,1996,1992.6161\nVietnam,VNM,1997,2262.2302\nVietnam,VNM,1998,2411.8323\nVietnam,VNM,1999,2465.0054\nVietnam,VNM,2000,2775.6035\nVietnam,VNM,2001,3104.3591\nVietnam,VNM,2002,3361.0232\nVietnam,VNM,2003,3586.1633\nVietnam,VNM,2004,4328.84\nVietnam,VNM,2005,4560.3525\nVietnam,VNM,2006,4125.3115\nVietnam,VNM,2007,4427.3457\nVietnam,VNM,2008,5367.823\nVietnam,VNM,2009,5409.7305\nVietnam,VNM,2010,6177.169\nVietnam,VNM,2011,6749.783\nVietnam,VNM,2012,6938.164\nVietnam,VNM,2013,7244.138\nVietnam,VNM,2014,7894.6797\nVietnam,VNM,2015,8731.432\nVietnam,VNM,2016,9326.302\nVietnam,VNM,2017,9981.674\nVietnam,VNM,2018,11210.952\nVietnam,VNM,2019,12433.123\nVietnam,VNM,2020,12527.92\nVietnam,VNM,2021,12365.529\nVietnam,VNM,2022,12976.387\nVietnam,VNM,2023,13711.071\nVietnam,VNM,2024,14618.14\n```\n\nHow much did per capita energy consumption change for Vietnam between 1990 and 2024?","response":"It moved from 1,177.45 kWh in 1990 to 14,618.14 kWh in 2024, a change of 13,440.69 kWh (+1141.51%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nVietnam,VNM,1990,1177.4452\nVietnam,VNM,1991,1173.7494\nVietnam,VNM,1992,1256.847\nVietnam,VNM,1993,1407.9246\nVietnam,VNM,1994,1544.6514\nVietnam,VNM,1995,1764.7858\nVietnam,VNM,1996,1992.6161\nVietnam,VNM,1997,2262.2302\nVietnam,VNM,1998,2411.8323\nVietnam,VNM,1999,2465.0054\nVietnam,VNM,2000,2775.6035\nVietnam,VNM,2001,3104.3591\nVietnam,VNM,2002,3361.0232\nVietnam,VNM,2003,3586.1633\nVietnam,VNM,2004,4328.84\nVietnam,VNM,2005,4560.3525\nVietnam,VNM,2006,4125.3115\nVietnam,VNM,2007,4427.3457\nVietnam,VNM,2008,5367.823\nVietnam,VNM,2009,5409.7305\nVietnam,VNM,2010,6177.169\nVietnam,VNM,2011,6749.783\nVietnam,VNM,2012,6938.164\nVietnam,VNM,2013,7244.138\nVietnam,VNM,2014,7894.6797\nVietnam,VNM,2015,8731.432\nVietnam,VNM,2016,9326.302\nVietnam,VNM,2017,9981.674\nVietnam,VNM,2018,11210.952\nVietnam,VNM,2019,12433.123\nVietnam,VNM,2020,12527.92\nVietnam,VNM,2021,12365.529\nVietnam,VNM,2022,12976.387\nVietnam,VNM,2023,13711.071\nVietnam,VNM,2024,14618.14\n```\n\nWas per capita energy consumption in Vietnam higher in 1991 or 2013?","response":"Higher in 2013. The chart gives 1,173.75 kWh for 1991 and 7,244.14 kWh for 2013, a difference of 6,070.39 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nVietnam,VNM,1990,1177.4452\nVietnam,VNM,1991,1173.7494\nVietnam,VNM,1992,1256.847\nVietnam,VNM,1993,1407.9246\nVietnam,VNM,1994,1544.6514\nVietnam,VNM,1995,1764.7858\nVietnam,VNM,1996,1992.6161\nVietnam,VNM,1997,2262.2302\nVietnam,VNM,1998,2411.8323\nVietnam,VNM,1999,2465.0054\nVietnam,VNM,2000,2775.6035\nVietnam,VNM,2001,3104.3591\nVietnam,VNM,2002,3361.0232\nVietnam,VNM,2003,3586.1633\nVietnam,VNM,2004,4328.84\nVietnam,VNM,2005,4560.3525\nVietnam,VNM,2006,4125.3115\nVietnam,VNM,2007,4427.3457\nVietnam,VNM,2008,5367.823\nVietnam,VNM,2009,5409.7305\nVietnam,VNM,2010,6177.169\nVietnam,VNM,2011,6749.783\nVietnam,VNM,2012,6938.164\nVietnam,VNM,2013,7244.138\nVietnam,VNM,2014,7894.6797\nVietnam,VNM,2015,8731.432\nVietnam,VNM,2016,9326.302\nVietnam,VNM,2017,9981.674\nVietnam,VNM,2018,11210.952\nVietnam,VNM,2019,12433.123\nVietnam,VNM,2020,12527.92\nVietnam,VNM,2021,12365.529\nVietnam,VNM,2022,12976.387\nVietnam,VNM,2023,13711.071\nVietnam,VNM,2024,14618.14\n```\n\nAccording to this chart, what was per capita energy consumption in Vietnam in 2001?","response":"Reading the plotted point for 2001, per capita energy consumption in Vietnam was 3,104.36 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nVietnam,VNM,1990,1177.4452\nVietnam,VNM,1991,1173.7494\nVietnam,VNM,1992,1256.847\nVietnam,VNM,1993,1407.9246\nVietnam,VNM,1994,1544.6514\nVietnam,VNM,1995,1764.7858\nVietnam,VNM,1996,1992.6161\nVietnam,VNM,1997,2262.2302\nVietnam,VNM,1998,2411.8323\nVietnam,VNM,1999,2465.0054\nVietnam,VNM,2000,2775.6035\nVietnam,VNM,2001,3104.3591\nVietnam,VNM,2002,3361.0232\nVietnam,VNM,2003,3586.1633\nVietnam,VNM,2004,4328.84\nVietnam,VNM,2005,4560.3525\nVietnam,VNM,2006,4125.3115\nVietnam,VNM,2007,4427.3457\nVietnam,VNM,2008,5367.823\nVietnam,VNM,2009,5409.7305\nVietnam,VNM,2010,6177.169\nVietnam,VNM,2011,6749.783\nVietnam,VNM,2012,6938.164\nVietnam,VNM,2013,7244.138\nVietnam,VNM,2014,7894.6797\nVietnam,VNM,2015,8731.432\nVietnam,VNM,2016,9326.302\nVietnam,VNM,2017,9981.674\nVietnam,VNM,2018,11210.952\nVietnam,VNM,2019,12433.123\nVietnam,VNM,2020,12527.92\nVietnam,VNM,2021,12365.529\nVietnam,VNM,2022,12976.387\nVietnam,VNM,2023,13711.071\nVietnam,VNM,2024,14618.14\n```\n\nIn which year shown does per capita energy consumption reach its highest value for Vietnam?","response":"The series peaks in 2024, at 14,618.14 kWh. The lowest point shown is 1991, at 1,173.75 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nVietnam,VNM,1990,1177.4452\nVietnam,VNM,1991,1173.7494\nVietnam,VNM,1992,1256.847\nVietnam,VNM,1993,1407.9246\nVietnam,VNM,1994,1544.6514\nVietnam,VNM,1995,1764.7858\nVietnam,VNM,1996,1992.6161\nVietnam,VNM,1997,2262.2302\nVietnam,VNM,1998,2411.8323\nVietnam,VNM,1999,2465.0054\nVietnam,VNM,2000,2775.6035\nVietnam,VNM,2001,3104.3591\nVietnam,VNM,2002,3361.0232\nVietnam,VNM,2003,3586.1633\nVietnam,VNM,2004,4328.84\nVietnam,VNM,2005,4560.3525\nVietnam,VNM,2006,4125.3115\nVietnam,VNM,2007,4427.3457\nVietnam,VNM,2008,5367.823\nVietnam,VNM,2009,5409.7305\nVietnam,VNM,2010,6177.169\nVietnam,VNM,2011,6749.783\nVietnam,VNM,2012,6938.164\nVietnam,VNM,2013,7244.138\nVietnam,VNM,2014,7894.6797\nVietnam,VNM,2015,8731.432\nVietnam,VNM,2016,9326.302\nVietnam,VNM,2017,9981.674\nVietnam,VNM,2018,11210.952\nVietnam,VNM,2019,12433.123\nVietnam,VNM,2020,12527.92\nVietnam,VNM,2021,12365.529\nVietnam,VNM,2022,12976.387\nVietnam,VNM,2023,13711.071\nVietnam,VNM,2024,14618.14\n```\n\nHow much did per capita energy consumption change for Vietnam between 1990 and 2024?","response":"It moved from 1,177.45 kWh in 1990 to 14,618.14 kWh in 2024, a change of 13,440.69 kWh (+1141.51%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nVietnam,VNM,1990,1177.4452\nVietnam,VNM,1991,1173.7494\nVietnam,VNM,1992,1256.847\nVietnam,VNM,1993,1407.9246\nVietnam,VNM,1994,1544.6514\nVietnam,VNM,1995,1764.7858\nVietnam,VNM,1996,1992.6161\nVietnam,VNM,1997,2262.2302\nVietnam,VNM,1998,2411.8323\nVietnam,VNM,1999,2465.0054\nVietnam,VNM,2000,2775.6035\nVietnam,VNM,2001,3104.3591\nVietnam,VNM,2002,3361.0232\nVietnam,VNM,2003,3586.1633\nVietnam,VNM,2004,4328.84\nVietnam,VNM,2005,4560.3525\nVietnam,VNM,2006,4125.3115\nVietnam,VNM,2007,4427.3457\nVietnam,VNM,2008,5367.823\nVietnam,VNM,2009,5409.7305\nVietnam,VNM,2010,6177.169\nVietnam,VNM,2011,6749.783\nVietnam,VNM,2012,6938.164\nVietnam,VNM,2013,7244.138\nVietnam,VNM,2014,7894.6797\nVietnam,VNM,2015,8731.432\nVietnam,VNM,2016,9326.302\nVietnam,VNM,2017,9981.674\nVietnam,VNM,2018,11210.952\nVietnam,VNM,2019,12433.123\nVietnam,VNM,2020,12527.92\nVietnam,VNM,2021,12365.529\nVietnam,VNM,2022,12976.387\nVietnam,VNM,2023,13711.071\nVietnam,VNM,2024,14618.14\n```\n\nWas per capita energy consumption in Vietnam higher in 1991 or 2013?","response":"Higher in 2013. The chart gives 1,173.75 kWh for 1991 and 7,244.14 kWh for 2013, a difference of 6,070.39 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nVietnam,VNM,1990,1177.4452\nVietnam,VNM,1991,1173.7494\nVietnam,VNM,1992,1256.847\nVietnam,VNM,1993,1407.9246\nVietnam,VNM,1994,1544.6514\nVietnam,VNM,1995,1764.7858\nVietnam,VNM,1996,1992.6161\nVietnam,VNM,1997,2262.2302\nVietnam,VNM,1998,2411.8323\nVietnam,VNM,1999,2465.0054\nVietnam,VNM,2000,2775.6035\nVietnam,VNM,2001,3104.3591\nVietnam,VNM,2002,3361.0232\nVietnam,VNM,2003,3586.1633\nVietnam,VNM,2004,4328.84\nVietnam,VNM,2005,4560.3525\nVietnam,VNM,2006,4125.3115\nVietnam,VNM,2007,4427.3457\nVietnam,VNM,2008,5367.823\nVietnam,VNM,2009,5409.7305\nVietnam,VNM,2010,6177.169\nVietnam,VNM,2011,6749.783\nVietnam,VNM,2012,6938.164\nVietnam,VNM,2013,7244.138\nVietnam,VNM,2014,7894.6797\nVietnam,VNM,2015,8731.432\nVietnam,VNM,2016,9326.302\nVietnam,VNM,2017,9981.674\nVietnam,VNM,2018,11210.952\nVietnam,VNM,2019,12433.123\nVietnam,VNM,2020,12527.92\nVietnam,VNM,2021,12365.529\nVietnam,VNM,2022,12976.387\nVietnam,VNM,2023,13711.071\nVietnam,VNM,2024,14618.14\n```\n\nBased on this chart, is per capita energy consumption in Vietnam rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 1,177.45 kWh to 14,618.14 kWh, a change of +1141.51%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nVietnam,VNM,1990,1177.4452\nVietnam,VNM,1991,1173.7494\nVietnam,VNM,1992,1256.847\nVietnam,VNM,1993,1407.9246\nVietnam,VNM,1994,1544.6514\nVietnam,VNM,1995,1764.7858\nVietnam,VNM,1996,1992.6161\nVietnam,VNM,1997,2262.2302\nVietnam,VNM,1998,2411.8323\nVietnam,VNM,1999,2465.0054\nVietnam,VNM,2000,2775.6035\nVietnam,VNM,2001,3104.3591\nVietnam,VNM,2002,3361.0232\nVietnam,VNM,2003,3586.1633\nVietnam,VNM,2004,4328.84\nVietnam,VNM,2005,4560.3525\nVietnam,VNM,2006,4125.3115\nVietnam,VNM,2007,4427.3457\nVietnam,VNM,2008,5367.823\nVietnam,VNM,2009,5409.7305\nVietnam,VNM,2010,6177.169\nVietnam,VNM,2011,6749.783\nVietnam,VNM,2012,6938.164\nVietnam,VNM,2013,7244.138\nVietnam,VNM,2014,7894.6797\nVietnam,VNM,2015,8731.432\nVietnam,VNM,2016,9326.302\nVietnam,VNM,2017,9981.674\nVietnam,VNM,2018,11210.952\nVietnam,VNM,2019,12433.123\nVietnam,VNM,2020,12527.92\nVietnam,VNM,2021,12365.529\nVietnam,VNM,2022,12976.387\nVietnam,VNM,2023,13711.071\nVietnam,VNM,2024,14618.14\n```\n\nThis chart makes the change in per capita energy consumption for Vietnam look dramatic. Is it?","response":"The values change by +1141.51%, from 1,177.45 kWh to 14,618.14 kWh. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nVietnam,VNM,1990,1177.4452\nVietnam,VNM,1991,1173.7494\nVietnam,VNM,1992,1256.847\nVietnam,VNM,1993,1407.9246\nVietnam,VNM,1994,1544.6514\nVietnam,VNM,1995,1764.7858\nVietnam,VNM,1996,1992.6161\nVietnam,VNM,1997,2262.2302\nVietnam,VNM,1998,2411.8323\nVietnam,VNM,1999,2465.0054\nVietnam,VNM,2000,2775.6035\nVietnam,VNM,2001,3104.3591\nVietnam,VNM,2002,3361.0232\nVietnam,VNM,2003,3586.1633\nVietnam,VNM,2004,4328.84\nVietnam,VNM,2005,4560.3525\nVietnam,VNM,2006,4125.3115\nVietnam,VNM,2007,4427.3457\nVietnam,VNM,2008,5367.823\nVietnam,VNM,2009,5409.7305\nVietnam,VNM,2010,6177.169\nVietnam,VNM,2011,6749.783\nVietnam,VNM,2012,6938.164\nVietnam,VNM,2013,7244.138\nVietnam,VNM,2014,7894.6797\nVietnam,VNM,2015,8731.432\nVietnam,VNM,2016,9326.302\nVietnam,VNM,2017,9981.674\nVietnam,VNM,2018,11210.952\nVietnam,VNM,2019,12433.123\nVietnam,VNM,2020,12527.92\nVietnam,VNM,2021,12365.529\nVietnam,VNM,2022,12976.387\nVietnam,VNM,2023,13711.071\nVietnam,VNM,2024,14618.14\n```\n\nHow does Vietnam compare with Kenya on this measure?","response":"This chart covers Vietnam only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about Vietnam on its own: the series runs from 1,177.45 kWh in 1990 to 14,618.14 kWh in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Vietnam__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nPoland,POL,1990,31804.375\nPoland,POL,1991,31037.29\nPoland,POL,1992,29617.81\nPoland,POL,1993,29556.105\nPoland,POL,1994,28248.781\nPoland,POL,1995,28899.574\nPoland,POL,1996,30343.46\nPoland,POL,1997,30054.537\nPoland,POL,1998,28810.39\nPoland,POL,1999,28278.568\nPoland,POL,2000,26596.332\nPoland,POL,2001,26418.986\nPoland,POL,2002,26146.867\nPoland,POL,2003,27070.973\nPoland,POL,2004,27280.193\nPoland,POL,2005,27854.531\nPoland,POL,2006,29165.352\nPoland,POL,2007,29053.967\nPoland,POL,2008,29593.398\nPoland,POL,2009,28556.041\nPoland,POL,2010,30377.729\nPoland,POL,2011,30429.385\nPoland,POL,2012,29489.93\nPoland,POL,2013,29569.78\nPoland,POL,2014,28468.607\nPoland,POL,2015,28824.648\nPoland,POL,2016,30061.346\nPoland,POL,2017,31585.154\nPoland,POL,2018,31957.33\nPoland,POL,2019,31059.262\nPoland,POL,2020,29845.54\nPoland,POL,2021,32196.334\nPoland,POL,2022,30919.512\nPoland,POL,2023,29225.926\nPoland,POL,2024,29205.824\n```\n\nAccording to this chart, what was per capita energy consumption in Poland in 2010?","response":"Reading the plotted point for 2010, per capita energy consumption in Poland was 30,377.73 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nPoland,POL,1990,31804.375\nPoland,POL,1991,31037.29\nPoland,POL,1992,29617.81\nPoland,POL,1993,29556.105\nPoland,POL,1994,28248.781\nPoland,POL,1995,28899.574\nPoland,POL,1996,30343.46\nPoland,POL,1997,30054.537\nPoland,POL,1998,28810.39\nPoland,POL,1999,28278.568\nPoland,POL,2000,26596.332\nPoland,POL,2001,26418.986\nPoland,POL,2002,26146.867\nPoland,POL,2003,27070.973\nPoland,POL,2004,27280.193\nPoland,POL,2005,27854.531\nPoland,POL,2006,29165.352\nPoland,POL,2007,29053.967\nPoland,POL,2008,29593.398\nPoland,POL,2009,28556.041\nPoland,POL,2010,30377.729\nPoland,POL,2011,30429.385\nPoland,POL,2012,29489.93\nPoland,POL,2013,29569.78\nPoland,POL,2014,28468.607\nPoland,POL,2015,28824.648\nPoland,POL,2016,30061.346\nPoland,POL,2017,31585.154\nPoland,POL,2018,31957.33\nPoland,POL,2019,31059.262\nPoland,POL,2020,29845.54\nPoland,POL,2021,32196.334\nPoland,POL,2022,30919.512\nPoland,POL,2023,29225.926\nPoland,POL,2024,29205.824\n```\n\nIn which year shown does per capita energy consumption reach its highest value for Poland?","response":"The series peaks in 2021, at 32,196.33 kWh. The lowest point shown is 2002, at 26,146.87 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nPoland,POL,1990,31804.375\nPoland,POL,1991,31037.29\nPoland,POL,1992,29617.81\nPoland,POL,1993,29556.105\nPoland,POL,1994,28248.781\nPoland,POL,1995,28899.574\nPoland,POL,1996,30343.46\nPoland,POL,1997,30054.537\nPoland,POL,1998,28810.39\nPoland,POL,1999,28278.568\nPoland,POL,2000,26596.332\nPoland,POL,2001,26418.986\nPoland,POL,2002,26146.867\nPoland,POL,2003,27070.973\nPoland,POL,2004,27280.193\nPoland,POL,2005,27854.531\nPoland,POL,2006,29165.352\nPoland,POL,2007,29053.967\nPoland,POL,2008,29593.398\nPoland,POL,2009,28556.041\nPoland,POL,2010,30377.729\nPoland,POL,2011,30429.385\nPoland,POL,2012,29489.93\nPoland,POL,2013,29569.78\nPoland,POL,2014,28468.607\nPoland,POL,2015,28824.648\nPoland,POL,2016,30061.346\nPoland,POL,2017,31585.154\nPoland,POL,2018,31957.33\nPoland,POL,2019,31059.262\nPoland,POL,2020,29845.54\nPoland,POL,2021,32196.334\nPoland,POL,2022,30919.512\nPoland,POL,2023,29225.926\nPoland,POL,2024,29205.824\n```\n\nHow much did per capita energy consumption change for Poland between 1990 and 2024?","response":"It moved from 31,804.38 kWh in 1990 to 29,205.82 kWh in 2024, a change of -2,598.55 kWh (-8.17%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nPoland,POL,1990,31804.375\nPoland,POL,1991,31037.29\nPoland,POL,1992,29617.81\nPoland,POL,1993,29556.105\nPoland,POL,1994,28248.781\nPoland,POL,1995,28899.574\nPoland,POL,1996,30343.46\nPoland,POL,1997,30054.537\nPoland,POL,1998,28810.39\nPoland,POL,1999,28278.568\nPoland,POL,2000,26596.332\nPoland,POL,2001,26418.986\nPoland,POL,2002,26146.867\nPoland,POL,2003,27070.973\nPoland,POL,2004,27280.193\nPoland,POL,2005,27854.531\nPoland,POL,2006,29165.352\nPoland,POL,2007,29053.967\nPoland,POL,2008,29593.398\nPoland,POL,2009,28556.041\nPoland,POL,2010,30377.729\nPoland,POL,2011,30429.385\nPoland,POL,2012,29489.93\nPoland,POL,2013,29569.78\nPoland,POL,2014,28468.607\nPoland,POL,2015,28824.648\nPoland,POL,2016,30061.346\nPoland,POL,2017,31585.154\nPoland,POL,2018,31957.33\nPoland,POL,2019,31059.262\nPoland,POL,2020,29845.54\nPoland,POL,2021,32196.334\nPoland,POL,2022,30919.512\nPoland,POL,2023,29225.926\nPoland,POL,2024,29205.824\n```\n\nWas per capita energy consumption in Poland higher in 1991 or 2012?","response":"Higher in 1991. The chart gives 31,037.29 kWh for 1991 and 29,489.93 kWh for 2012, a difference of 1,547.36 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nPoland,POL,1990,31804.375\nPoland,POL,1991,31037.29\nPoland,POL,1992,29617.81\nPoland,POL,1993,29556.105\nPoland,POL,1994,28248.781\nPoland,POL,1995,28899.574\nPoland,POL,1996,30343.46\nPoland,POL,1997,30054.537\nPoland,POL,1998,28810.39\nPoland,POL,1999,28278.568\nPoland,POL,2000,26596.332\nPoland,POL,2001,26418.986\nPoland,POL,2002,26146.867\nPoland,POL,2003,27070.973\nPoland,POL,2004,27280.193\nPoland,POL,2005,27854.531\nPoland,POL,2006,29165.352\nPoland,POL,2007,29053.967\nPoland,POL,2008,29593.398\nPoland,POL,2009,28556.041\nPoland,POL,2010,30377.729\nPoland,POL,2011,30429.385\nPoland,POL,2012,29489.93\nPoland,POL,2013,29569.78\nPoland,POL,2014,28468.607\nPoland,POL,2015,28824.648\nPoland,POL,2016,30061.346\nPoland,POL,2017,31585.154\nPoland,POL,2018,31957.33\nPoland,POL,2019,31059.262\nPoland,POL,2020,29845.54\nPoland,POL,2021,32196.334\nPoland,POL,2022,30919.512\nPoland,POL,2023,29225.926\nPoland,POL,2024,29205.824\n```\n\nAccording to this chart, what was per capita energy consumption in Poland in 2010?","response":"Reading the plotted point for 2010, per capita energy consumption in Poland was 30,377.73 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nPoland,POL,1990,31804.375\nPoland,POL,1991,31037.29\nPoland,POL,1992,29617.81\nPoland,POL,1993,29556.105\nPoland,POL,1994,28248.781\nPoland,POL,1995,28899.574\nPoland,POL,1996,30343.46\nPoland,POL,1997,30054.537\nPoland,POL,1998,28810.39\nPoland,POL,1999,28278.568\nPoland,POL,2000,26596.332\nPoland,POL,2001,26418.986\nPoland,POL,2002,26146.867\nPoland,POL,2003,27070.973\nPoland,POL,2004,27280.193\nPoland,POL,2005,27854.531\nPoland,POL,2006,29165.352\nPoland,POL,2007,29053.967\nPoland,POL,2008,29593.398\nPoland,POL,2009,28556.041\nPoland,POL,2010,30377.729\nPoland,POL,2011,30429.385\nPoland,POL,2012,29489.93\nPoland,POL,2013,29569.78\nPoland,POL,2014,28468.607\nPoland,POL,2015,28824.648\nPoland,POL,2016,30061.346\nPoland,POL,2017,31585.154\nPoland,POL,2018,31957.33\nPoland,POL,2019,31059.262\nPoland,POL,2020,29845.54\nPoland,POL,2021,32196.334\nPoland,POL,2022,30919.512\nPoland,POL,2023,29225.926\nPoland,POL,2024,29205.824\n```\n\nIn which year shown does per capita energy consumption reach its highest value for Poland?","response":"The series peaks in 2021, at 32,196.33 kWh. The lowest point shown is 2002, at 26,146.87 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nPoland,POL,1990,31804.375\nPoland,POL,1991,31037.29\nPoland,POL,1992,29617.81\nPoland,POL,1993,29556.105\nPoland,POL,1994,28248.781\nPoland,POL,1995,28899.574\nPoland,POL,1996,30343.46\nPoland,POL,1997,30054.537\nPoland,POL,1998,28810.39\nPoland,POL,1999,28278.568\nPoland,POL,2000,26596.332\nPoland,POL,2001,26418.986\nPoland,POL,2002,26146.867\nPoland,POL,2003,27070.973\nPoland,POL,2004,27280.193\nPoland,POL,2005,27854.531\nPoland,POL,2006,29165.352\nPoland,POL,2007,29053.967\nPoland,POL,2008,29593.398\nPoland,POL,2009,28556.041\nPoland,POL,2010,30377.729\nPoland,POL,2011,30429.385\nPoland,POL,2012,29489.93\nPoland,POL,2013,29569.78\nPoland,POL,2014,28468.607\nPoland,POL,2015,28824.648\nPoland,POL,2016,30061.346\nPoland,POL,2017,31585.154\nPoland,POL,2018,31957.33\nPoland,POL,2019,31059.262\nPoland,POL,2020,29845.54\nPoland,POL,2021,32196.334\nPoland,POL,2022,30919.512\nPoland,POL,2023,29225.926\nPoland,POL,2024,29205.824\n```\n\nHow much did per capita energy consumption change for Poland between 1990 and 2024?","response":"It moved from 31,804.38 kWh in 1990 to 29,205.82 kWh in 2024, a change of -2,598.55 kWh (-8.17%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nPoland,POL,1990,31804.375\nPoland,POL,1991,31037.29\nPoland,POL,1992,29617.81\nPoland,POL,1993,29556.105\nPoland,POL,1994,28248.781\nPoland,POL,1995,28899.574\nPoland,POL,1996,30343.46\nPoland,POL,1997,30054.537\nPoland,POL,1998,28810.39\nPoland,POL,1999,28278.568\nPoland,POL,2000,26596.332\nPoland,POL,2001,26418.986\nPoland,POL,2002,26146.867\nPoland,POL,2003,27070.973\nPoland,POL,2004,27280.193\nPoland,POL,2005,27854.531\nPoland,POL,2006,29165.352\nPoland,POL,2007,29053.967\nPoland,POL,2008,29593.398\nPoland,POL,2009,28556.041\nPoland,POL,2010,30377.729\nPoland,POL,2011,30429.385\nPoland,POL,2012,29489.93\nPoland,POL,2013,29569.78\nPoland,POL,2014,28468.607\nPoland,POL,2015,28824.648\nPoland,POL,2016,30061.346\nPoland,POL,2017,31585.154\nPoland,POL,2018,31957.33\nPoland,POL,2019,31059.262\nPoland,POL,2020,29845.54\nPoland,POL,2021,32196.334\nPoland,POL,2022,30919.512\nPoland,POL,2023,29225.926\nPoland,POL,2024,29205.824\n```\n\nWas per capita energy consumption in Poland higher in 1991 or 2012?","response":"Higher in 1991. The chart gives 31,037.29 kWh for 1991 and 29,489.93 kWh for 2012, a difference of 1,547.36 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nPoland,POL,1990,31804.375\nPoland,POL,1991,31037.29\nPoland,POL,1992,29617.81\nPoland,POL,1993,29556.105\nPoland,POL,1994,28248.781\nPoland,POL,1995,28899.574\nPoland,POL,1996,30343.46\nPoland,POL,1997,30054.537\nPoland,POL,1998,28810.39\nPoland,POL,1999,28278.568\nPoland,POL,2000,26596.332\nPoland,POL,2001,26418.986\nPoland,POL,2002,26146.867\nPoland,POL,2003,27070.973\nPoland,POL,2004,27280.193\nPoland,POL,2005,27854.531\nPoland,POL,2006,29165.352\nPoland,POL,2007,29053.967\nPoland,POL,2008,29593.398\nPoland,POL,2009,28556.041\nPoland,POL,2010,30377.729\nPoland,POL,2011,30429.385\nPoland,POL,2012,29489.93\nPoland,POL,2013,29569.78\nPoland,POL,2014,28468.607\nPoland,POL,2015,28824.648\nPoland,POL,2016,30061.346\nPoland,POL,2017,31585.154\nPoland,POL,2018,31957.33\nPoland,POL,2019,31059.262\nPoland,POL,2020,29845.54\nPoland,POL,2021,32196.334\nPoland,POL,2022,30919.512\nPoland,POL,2023,29225.926\nPoland,POL,2024,29205.824\n```\n\nThis chart appears to show per capita energy consumption in Poland rising steeply. How large is the increase actually?","response":"The plotted values run from 31,804.38 kWh to 29,205.82 kWh, so the actual change is -8.17%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 23376.2604 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nPoland,POL,1990,31804.375\nPoland,POL,1991,31037.29\nPoland,POL,1992,29617.81\nPoland,POL,1993,29556.105\nPoland,POL,1994,28248.781\nPoland,POL,1995,28899.574\nPoland,POL,1996,30343.46\nPoland,POL,1997,30054.537\nPoland,POL,1998,28810.39\nPoland,POL,1999,28278.568\nPoland,POL,2000,26596.332\nPoland,POL,2001,26418.986\nPoland,POL,2002,26146.867\nPoland,POL,2003,27070.973\nPoland,POL,2004,27280.193\nPoland,POL,2005,27854.531\nPoland,POL,2006,29165.352\nPoland,POL,2007,29053.967\nPoland,POL,2008,29593.398\nPoland,POL,2009,28556.041\nPoland,POL,2010,30377.729\nPoland,POL,2011,30429.385\nPoland,POL,2012,29489.93\nPoland,POL,2013,29569.78\nPoland,POL,2014,28468.607\nPoland,POL,2015,28824.648\nPoland,POL,2016,30061.346\nPoland,POL,2017,31585.154\nPoland,POL,2018,31957.33\nPoland,POL,2019,31059.262\nPoland,POL,2020,29845.54\nPoland,POL,2021,32196.334\nPoland,POL,2022,30919.512\nPoland,POL,2023,29225.926\nPoland,POL,2024,29205.824\n```\n\nBased on this chart, is per capita energy consumption in Poland rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 31,804.38 kWh to 29,205.82 kWh, a change of -8.17%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nPoland,POL,1995,28899.574\nPoland,POL,1996,30343.46\nPoland,POL,1997,30054.537\nPoland,POL,1998,28810.39\nPoland,POL,1999,28278.568\nPoland,POL,2000,26596.332\nPoland,POL,2001,26418.986\nPoland,POL,2002,26146.867\nPoland,POL,2003,27070.973\nPoland,POL,2004,27280.193\nPoland,POL,2005,27854.531\nPoland,POL,2006,29165.352\n```\n\nWhat does this chart suggest about the long-run direction of per capita energy consumption in Poland?","response":"Within the window shown (1995-2006) the series moves +0.92%, but that window runs against the longer record. Across the full series (1990-2024) the change is -8.17%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nPoland,POL,1990,31804.375\nPoland,POL,1991,31037.29\nPoland,POL,1992,29617.81\nPoland,POL,1993,29556.105\nPoland,POL,1994,28248.781\nPoland,POL,1995,28899.574\nPoland,POL,1996,30343.46\nPoland,POL,1997,30054.537\nPoland,POL,1998,28810.39\nPoland,POL,1999,28278.568\nPoland,POL,2000,26596.332\nPoland,POL,2001,26418.986\nPoland,POL,2002,26146.867\nPoland,POL,2003,27070.973\nPoland,POL,2004,27280.193\nPoland,POL,2005,27854.531\nPoland,POL,2006,29165.352\nPoland,POL,2007,29053.967\nPoland,POL,2008,29593.398\nPoland,POL,2009,28556.041\nPoland,POL,2010,30377.729\nPoland,POL,2011,30429.385\nPoland,POL,2012,29489.93\nPoland,POL,2013,29569.78\nPoland,POL,2014,28468.607\nPoland,POL,2015,28824.648\nPoland,POL,2016,30061.346\nPoland,POL,2017,31585.154\nPoland,POL,2018,31957.33\nPoland,POL,2019,31059.262\nPoland,POL,2020,29845.54\nPoland,POL,2021,32196.334\nPoland,POL,2022,30919.512\nPoland,POL,2023,29225.926\nPoland,POL,2024,29205.824\n```\n\nWhat was per capita energy consumption for Poland in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 31,804.38 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Poland__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nChile,CHL,1990,11585.809\nChile,CHL,1991,12806.18\nChile,CHL,1992,13986.307\nChile,CHL,1993,14552.833\nChile,CHL,1994,15051.502\nChile,CHL,1995,15986.057\nChile,CHL,1996,16685.5\nChile,CHL,1997,18822.027\nChile,CHL,1998,18606.53\nChile,CHL,1999,19133.707\nChile,CHL,2000,19827.041\nChile,CHL,2001,19978.824\nChile,CHL,2002,20229.719\nChile,CHL,2003,20124.473\nChile,CHL,2004,21269.668\nChile,CHL,2005,21856.49\nChile,CHL,2006,22392.51\nChile,CHL,2007,22151.396\nChile,CHL,2008,21931.584\nChile,CHL,2009,20833.512\nChile,CHL,2010,21182.576\nChile,CHL,2011,22228.908\nChile,CHL,2012,22988.977\nChile,CHL,2013,23393.406\nChile,CHL,2014,22924.852\nChile,CHL,2015,22952.033\nChile,CHL,2016,23753.11\nChile,CHL,2017,24265.86\nChile,CHL,2018,24785.533\nChile,CHL,2019,24689.287\nChile,CHL,2020,22842.719\nChile,CHL,2021,24509.102\nChile,CHL,2022,25750.754\nChile,CHL,2023,25306.361\nChile,CHL,2024,26245.264\n```\n\nAccording to this chart, what was per capita energy consumption in Chile in 2014?","response":"Reading the plotted point for 2014, per capita energy consumption in Chile was 22,924.85 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nChile,CHL,1990,11585.809\nChile,CHL,1991,12806.18\nChile,CHL,1992,13986.307\nChile,CHL,1993,14552.833\nChile,CHL,1994,15051.502\nChile,CHL,1995,15986.057\nChile,CHL,1996,16685.5\nChile,CHL,1997,18822.027\nChile,CHL,1998,18606.53\nChile,CHL,1999,19133.707\nChile,CHL,2000,19827.041\nChile,CHL,2001,19978.824\nChile,CHL,2002,20229.719\nChile,CHL,2003,20124.473\nChile,CHL,2004,21269.668\nChile,CHL,2005,21856.49\nChile,CHL,2006,22392.51\nChile,CHL,2007,22151.396\nChile,CHL,2008,21931.584\nChile,CHL,2009,20833.512\nChile,CHL,2010,21182.576\nChile,CHL,2011,22228.908\nChile,CHL,2012,22988.977\nChile,CHL,2013,23393.406\nChile,CHL,2014,22924.852\nChile,CHL,2015,22952.033\nChile,CHL,2016,23753.11\nChile,CHL,2017,24265.86\nChile,CHL,2018,24785.533\nChile,CHL,2019,24689.287\nChile,CHL,2020,22842.719\nChile,CHL,2021,24509.102\nChile,CHL,2022,25750.754\nChile,CHL,2023,25306.361\nChile,CHL,2024,26245.264\n```\n\nIn which year shown does per capita energy consumption reach its highest value for Chile?","response":"The series peaks in 2024, at 26,245.26 kWh. The lowest point shown is 1990, at 11,585.81 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nChile,CHL,1990,11585.809\nChile,CHL,1991,12806.18\nChile,CHL,1992,13986.307\nChile,CHL,1993,14552.833\nChile,CHL,1994,15051.502\nChile,CHL,1995,15986.057\nChile,CHL,1996,16685.5\nChile,CHL,1997,18822.027\nChile,CHL,1998,18606.53\nChile,CHL,1999,19133.707\nChile,CHL,2000,19827.041\nChile,CHL,2001,19978.824\nChile,CHL,2002,20229.719\nChile,CHL,2003,20124.473\nChile,CHL,2004,21269.668\nChile,CHL,2005,21856.49\nChile,CHL,2006,22392.51\nChile,CHL,2007,22151.396\nChile,CHL,2008,21931.584\nChile,CHL,2009,20833.512\nChile,CHL,2010,21182.576\nChile,CHL,2011,22228.908\nChile,CHL,2012,22988.977\nChile,CHL,2013,23393.406\nChile,CHL,2014,22924.852\nChile,CHL,2015,22952.033\nChile,CHL,2016,23753.11\nChile,CHL,2017,24265.86\nChile,CHL,2018,24785.533\nChile,CHL,2019,24689.287\nChile,CHL,2020,22842.719\nChile,CHL,2021,24509.102\nChile,CHL,2022,25750.754\nChile,CHL,2023,25306.361\nChile,CHL,2024,26245.264\n```\n\nHow much did per capita energy consumption change for Chile between 1990 and 2024?","response":"It moved from 11,585.81 kWh in 1990 to 26,245.26 kWh in 2024, a change of 14,659.45 kWh (+126.53%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nChile,CHL,1990,11585.809\nChile,CHL,1991,12806.18\nChile,CHL,1992,13986.307\nChile,CHL,1993,14552.833\nChile,CHL,1994,15051.502\nChile,CHL,1995,15986.057\nChile,CHL,1996,16685.5\nChile,CHL,1997,18822.027\nChile,CHL,1998,18606.53\nChile,CHL,1999,19133.707\nChile,CHL,2000,19827.041\nChile,CHL,2001,19978.824\nChile,CHL,2002,20229.719\nChile,CHL,2003,20124.473\nChile,CHL,2004,21269.668\nChile,CHL,2005,21856.49\nChile,CHL,2006,22392.51\nChile,CHL,2007,22151.396\nChile,CHL,2008,21931.584\nChile,CHL,2009,20833.512\nChile,CHL,2010,21182.576\nChile,CHL,2011,22228.908\nChile,CHL,2012,22988.977\nChile,CHL,2013,23393.406\nChile,CHL,2014,22924.852\nChile,CHL,2015,22952.033\nChile,CHL,2016,23753.11\nChile,CHL,2017,24265.86\nChile,CHL,2018,24785.533\nChile,CHL,2019,24689.287\nChile,CHL,2020,22842.719\nChile,CHL,2021,24509.102\nChile,CHL,2022,25750.754\nChile,CHL,2023,25306.361\nChile,CHL,2024,26245.264\n```\n\nWas per capita energy consumption in Chile higher in 1992 or 2019?","response":"Higher in 2019. The chart gives 13,986.31 kWh for 1992 and 24,689.29 kWh for 2019, a difference of 10,702.98 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nChile,CHL,1990,11585.809\nChile,CHL,1991,12806.18\nChile,CHL,1992,13986.307\nChile,CHL,1993,14552.833\nChile,CHL,1994,15051.502\nChile,CHL,1995,15986.057\nChile,CHL,1996,16685.5\nChile,CHL,1997,18822.027\nChile,CHL,1998,18606.53\nChile,CHL,1999,19133.707\nChile,CHL,2000,19827.041\nChile,CHL,2001,19978.824\nChile,CHL,2002,20229.719\nChile,CHL,2003,20124.473\nChile,CHL,2004,21269.668\nChile,CHL,2005,21856.49\nChile,CHL,2006,22392.51\nChile,CHL,2007,22151.396\nChile,CHL,2008,21931.584\nChile,CHL,2009,20833.512\nChile,CHL,2010,21182.576\nChile,CHL,2011,22228.908\nChile,CHL,2012,22988.977\nChile,CHL,2013,23393.406\nChile,CHL,2014,22924.852\nChile,CHL,2015,22952.033\nChile,CHL,2016,23753.11\nChile,CHL,2017,24265.86\nChile,CHL,2018,24785.533\nChile,CHL,2019,24689.287\nChile,CHL,2020,22842.719\nChile,CHL,2021,24509.102\nChile,CHL,2022,25750.754\nChile,CHL,2023,25306.361\nChile,CHL,2024,26245.264\n```\n\nAccording to this chart, what was per capita energy consumption in Chile in 2014?","response":"Reading the plotted point for 2014, per capita energy consumption in Chile was 22,924.85 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nChile,CHL,1990,11585.809\nChile,CHL,1991,12806.18\nChile,CHL,1992,13986.307\nChile,CHL,1993,14552.833\nChile,CHL,1994,15051.502\nChile,CHL,1995,15986.057\nChile,CHL,1996,16685.5\nChile,CHL,1997,18822.027\nChile,CHL,1998,18606.53\nChile,CHL,1999,19133.707\nChile,CHL,2000,19827.041\nChile,CHL,2001,19978.824\nChile,CHL,2002,20229.719\nChile,CHL,2003,20124.473\nChile,CHL,2004,21269.668\nChile,CHL,2005,21856.49\nChile,CHL,2006,22392.51\nChile,CHL,2007,22151.396\nChile,CHL,2008,21931.584\nChile,CHL,2009,20833.512\nChile,CHL,2010,21182.576\nChile,CHL,2011,22228.908\nChile,CHL,2012,22988.977\nChile,CHL,2013,23393.406\nChile,CHL,2014,22924.852\nChile,CHL,2015,22952.033\nChile,CHL,2016,23753.11\nChile,CHL,2017,24265.86\nChile,CHL,2018,24785.533\nChile,CHL,2019,24689.287\nChile,CHL,2020,22842.719\nChile,CHL,2021,24509.102\nChile,CHL,2022,25750.754\nChile,CHL,2023,25306.361\nChile,CHL,2024,26245.264\n```\n\nIn which year shown does per capita energy consumption reach its highest value for Chile?","response":"The series peaks in 2024, at 26,245.26 kWh. The lowest point shown is 1990, at 11,585.81 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nChile,CHL,1990,11585.809\nChile,CHL,1991,12806.18\nChile,CHL,1992,13986.307\nChile,CHL,1993,14552.833\nChile,CHL,1994,15051.502\nChile,CHL,1995,15986.057\nChile,CHL,1996,16685.5\nChile,CHL,1997,18822.027\nChile,CHL,1998,18606.53\nChile,CHL,1999,19133.707\nChile,CHL,2000,19827.041\nChile,CHL,2001,19978.824\nChile,CHL,2002,20229.719\nChile,CHL,2003,20124.473\nChile,CHL,2004,21269.668\nChile,CHL,2005,21856.49\nChile,CHL,2006,22392.51\nChile,CHL,2007,22151.396\nChile,CHL,2008,21931.584\nChile,CHL,2009,20833.512\nChile,CHL,2010,21182.576\nChile,CHL,2011,22228.908\nChile,CHL,2012,22988.977\nChile,CHL,2013,23393.406\nChile,CHL,2014,22924.852\nChile,CHL,2015,22952.033\nChile,CHL,2016,23753.11\nChile,CHL,2017,24265.86\nChile,CHL,2018,24785.533\nChile,CHL,2019,24689.287\nChile,CHL,2020,22842.719\nChile,CHL,2021,24509.102\nChile,CHL,2022,25750.754\nChile,CHL,2023,25306.361\nChile,CHL,2024,26245.264\n```\n\nHow much did per capita energy consumption change for Chile between 1990 and 2024?","response":"It moved from 11,585.81 kWh in 1990 to 26,245.26 kWh in 2024, a change of 14,659.45 kWh (+126.53%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nChile,CHL,1990,11585.809\nChile,CHL,1991,12806.18\nChile,CHL,1992,13986.307\nChile,CHL,1993,14552.833\nChile,CHL,1994,15051.502\nChile,CHL,1995,15986.057\nChile,CHL,1996,16685.5\nChile,CHL,1997,18822.027\nChile,CHL,1998,18606.53\nChile,CHL,1999,19133.707\nChile,CHL,2000,19827.041\nChile,CHL,2001,19978.824\nChile,CHL,2002,20229.719\nChile,CHL,2003,20124.473\nChile,CHL,2004,21269.668\nChile,CHL,2005,21856.49\nChile,CHL,2006,22392.51\nChile,CHL,2007,22151.396\nChile,CHL,2008,21931.584\nChile,CHL,2009,20833.512\nChile,CHL,2010,21182.576\nChile,CHL,2011,22228.908\nChile,CHL,2012,22988.977\nChile,CHL,2013,23393.406\nChile,CHL,2014,22924.852\nChile,CHL,2015,22952.033\nChile,CHL,2016,23753.11\nChile,CHL,2017,24265.86\nChile,CHL,2018,24785.533\nChile,CHL,2019,24689.287\nChile,CHL,2020,22842.719\nChile,CHL,2021,24509.102\nChile,CHL,2022,25750.754\nChile,CHL,2023,25306.361\nChile,CHL,2024,26245.264\n```\n\nWas per capita energy consumption in Chile higher in 1992 or 2019?","response":"Higher in 2019. The chart gives 13,986.31 kWh for 1992 and 24,689.29 kWh for 2019, a difference of 10,702.98 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nChile,CHL,1990,11585.809\nChile,CHL,1991,12806.18\nChile,CHL,1992,13986.307\nChile,CHL,1993,14552.833\nChile,CHL,1994,15051.502\nChile,CHL,1995,15986.057\nChile,CHL,1996,16685.5\nChile,CHL,1997,18822.027\nChile,CHL,1998,18606.53\nChile,CHL,1999,19133.707\nChile,CHL,2000,19827.041\nChile,CHL,2001,19978.824\nChile,CHL,2002,20229.719\nChile,CHL,2003,20124.473\nChile,CHL,2004,21269.668\nChile,CHL,2005,21856.49\nChile,CHL,2006,22392.51\nChile,CHL,2007,22151.396\nChile,CHL,2008,21931.584\nChile,CHL,2009,20833.512\nChile,CHL,2010,21182.576\nChile,CHL,2011,22228.908\nChile,CHL,2012,22988.977\nChile,CHL,2013,23393.406\nChile,CHL,2014,22924.852\nChile,CHL,2015,22952.033\nChile,CHL,2016,23753.11\nChile,CHL,2017,24265.86\nChile,CHL,2018,24785.533\nChile,CHL,2019,24689.287\nChile,CHL,2020,22842.719\nChile,CHL,2021,24509.102\nChile,CHL,2022,25750.754\nChile,CHL,2023,25306.361\nChile,CHL,2024,26245.264\n```\n\nBased on this chart, is per capita energy consumption in Chile rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 11,585.81 kWh to 26,245.26 kWh, a change of +126.53%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nChile,CHL,1990,11585.809\nChile,CHL,1991,12806.18\nChile,CHL,1992,13986.307\nChile,CHL,1993,14552.833\nChile,CHL,1994,15051.502\nChile,CHL,1995,15986.057\nChile,CHL,1996,16685.5\nChile,CHL,1997,18822.027\nChile,CHL,1998,18606.53\nChile,CHL,1999,19133.707\nChile,CHL,2000,19827.041\nChile,CHL,2001,19978.824\nChile,CHL,2002,20229.719\nChile,CHL,2003,20124.473\nChile,CHL,2004,21269.668\nChile,CHL,2005,21856.49\nChile,CHL,2006,22392.51\nChile,CHL,2007,22151.396\nChile,CHL,2008,21931.584\nChile,CHL,2009,20833.512\nChile,CHL,2010,21182.576\nChile,CHL,2011,22228.908\nChile,CHL,2012,22988.977\nChile,CHL,2013,23393.406\nChile,CHL,2014,22924.852\nChile,CHL,2015,22952.033\nChile,CHL,2016,23753.11\nChile,CHL,2017,24265.86\nChile,CHL,2018,24785.533\nChile,CHL,2019,24689.287\nChile,CHL,2020,22842.719\nChile,CHL,2021,24509.102\nChile,CHL,2022,25750.754\nChile,CHL,2023,25306.361\nChile,CHL,2024,26245.264\n```\n\nWhat caused the change in per capita energy consumption for Chile around 1997?","response":"The chart shows that the change happened: per capita energy consumption moves to 18,822.03 kWh in 1997. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Chile__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEgypt,EGY,1990,6701.1313\nEgypt,EGY,1991,6604.019\nEgypt,EGY,1992,6386.172\nEgypt,EGY,1993,6245.07\nEgypt,EGY,1994,6427.995\nEgypt,EGY,1995,6668.7456\nEgypt,EGY,1996,6881.8477\nEgypt,EGY,1997,7021.6016\nEgypt,EGY,1998,7153.041\nEgypt,EGY,1999,7506.7344\nEgypt,EGY,2000,7779.254\nEgypt,EGY,2001,7947.725\nEgypt,EGY,2002,8004.338\nEgypt,EGY,2003,8297.523\nEgypt,EGY,2004,8581.729\nEgypt,EGY,2005,8624.019\nEgypt,EGY,2006,8907.385\nEgypt,EGY,2007,9309.617\nEgypt,EGY,2008,9687.769\nEgypt,EGY,2009,9847.488\nEgypt,EGY,2010,10035.327\nEgypt,EGY,2011,10336.393\nEgypt,EGY,2012,10518.4\nEgypt,EGY,2013,10209.089\nEgypt,EGY,2014,9863.477\nEgypt,EGY,2015,9800.544\nEgypt,EGY,2016,10135.914\nEgypt,EGY,2017,10325.806\nEgypt,EGY,2018,10137.4375\nEgypt,EGY,2019,9749.406\nEgypt,EGY,2020,9028.072\nEgypt,EGY,2021,9564.884\nEgypt,EGY,2022,9857.579\nEgypt,EGY,2023,9566.154\nEgypt,EGY,2024,9660.864\n```\n\nAccording to this chart, what was per capita energy consumption in Egypt in 1996?","response":"Reading the plotted point for 1996, per capita energy consumption in Egypt was 6,881.85 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEgypt,EGY,1990,6701.1313\nEgypt,EGY,1991,6604.019\nEgypt,EGY,1992,6386.172\nEgypt,EGY,1993,6245.07\nEgypt,EGY,1994,6427.995\nEgypt,EGY,1995,6668.7456\nEgypt,EGY,1996,6881.8477\nEgypt,EGY,1997,7021.6016\nEgypt,EGY,1998,7153.041\nEgypt,EGY,1999,7506.7344\nEgypt,EGY,2000,7779.254\nEgypt,EGY,2001,7947.725\nEgypt,EGY,2002,8004.338\nEgypt,EGY,2003,8297.523\nEgypt,EGY,2004,8581.729\nEgypt,EGY,2005,8624.019\nEgypt,EGY,2006,8907.385\nEgypt,EGY,2007,9309.617\nEgypt,EGY,2008,9687.769\nEgypt,EGY,2009,9847.488\nEgypt,EGY,2010,10035.327\nEgypt,EGY,2011,10336.393\nEgypt,EGY,2012,10518.4\nEgypt,EGY,2013,10209.089\nEgypt,EGY,2014,9863.477\nEgypt,EGY,2015,9800.544\nEgypt,EGY,2016,10135.914\nEgypt,EGY,2017,10325.806\nEgypt,EGY,2018,10137.4375\nEgypt,EGY,2019,9749.406\nEgypt,EGY,2020,9028.072\nEgypt,EGY,2021,9564.884\nEgypt,EGY,2022,9857.579\nEgypt,EGY,2023,9566.154\nEgypt,EGY,2024,9660.864\n```\n\nIn which year shown does per capita energy consumption reach its highest value for Egypt?","response":"The series peaks in 2012, at 10,518.4 kWh. The lowest point shown is 1993, at 6,245.07 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEgypt,EGY,1990,6701.1313\nEgypt,EGY,1991,6604.019\nEgypt,EGY,1992,6386.172\nEgypt,EGY,1993,6245.07\nEgypt,EGY,1994,6427.995\nEgypt,EGY,1995,6668.7456\nEgypt,EGY,1996,6881.8477\nEgypt,EGY,1997,7021.6016\nEgypt,EGY,1998,7153.041\nEgypt,EGY,1999,7506.7344\nEgypt,EGY,2000,7779.254\nEgypt,EGY,2001,7947.725\nEgypt,EGY,2002,8004.338\nEgypt,EGY,2003,8297.523\nEgypt,EGY,2004,8581.729\nEgypt,EGY,2005,8624.019\nEgypt,EGY,2006,8907.385\nEgypt,EGY,2007,9309.617\nEgypt,EGY,2008,9687.769\nEgypt,EGY,2009,9847.488\nEgypt,EGY,2010,10035.327\nEgypt,EGY,2011,10336.393\nEgypt,EGY,2012,10518.4\nEgypt,EGY,2013,10209.089\nEgypt,EGY,2014,9863.477\nEgypt,EGY,2015,9800.544\nEgypt,EGY,2016,10135.914\nEgypt,EGY,2017,10325.806\nEgypt,EGY,2018,10137.4375\nEgypt,EGY,2019,9749.406\nEgypt,EGY,2020,9028.072\nEgypt,EGY,2021,9564.884\nEgypt,EGY,2022,9857.579\nEgypt,EGY,2023,9566.154\nEgypt,EGY,2024,9660.864\n```\n\nHow much did per capita energy consumption change for Egypt between 1990 and 2024?","response":"It moved from 6,701.13 kWh in 1990 to 9,660.86 kWh in 2024, a change of 2,959.73 kWh (+44.17%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEgypt,EGY,1990,6701.1313\nEgypt,EGY,1991,6604.019\nEgypt,EGY,1992,6386.172\nEgypt,EGY,1993,6245.07\nEgypt,EGY,1994,6427.995\nEgypt,EGY,1995,6668.7456\nEgypt,EGY,1996,6881.8477\nEgypt,EGY,1997,7021.6016\nEgypt,EGY,1998,7153.041\nEgypt,EGY,1999,7506.7344\nEgypt,EGY,2000,7779.254\nEgypt,EGY,2001,7947.725\nEgypt,EGY,2002,8004.338\nEgypt,EGY,2003,8297.523\nEgypt,EGY,2004,8581.729\nEgypt,EGY,2005,8624.019\nEgypt,EGY,2006,8907.385\nEgypt,EGY,2007,9309.617\nEgypt,EGY,2008,9687.769\nEgypt,EGY,2009,9847.488\nEgypt,EGY,2010,10035.327\nEgypt,EGY,2011,10336.393\nEgypt,EGY,2012,10518.4\nEgypt,EGY,2013,10209.089\nEgypt,EGY,2014,9863.477\nEgypt,EGY,2015,9800.544\nEgypt,EGY,2016,10135.914\nEgypt,EGY,2017,10325.806\nEgypt,EGY,2018,10137.4375\nEgypt,EGY,2019,9749.406\nEgypt,EGY,2020,9028.072\nEgypt,EGY,2021,9564.884\nEgypt,EGY,2022,9857.579\nEgypt,EGY,2023,9566.154\nEgypt,EGY,2024,9660.864\n```\n\nWas per capita energy consumption in Egypt higher in 1998 or 2011?","response":"Higher in 2011. The chart gives 7,153.04 kWh for 1998 and 10,336.39 kWh for 2011, a difference of 3,183.35 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEgypt,EGY,1990,6701.1313\nEgypt,EGY,1991,6604.019\nEgypt,EGY,1992,6386.172\nEgypt,EGY,1993,6245.07\nEgypt,EGY,1994,6427.995\nEgypt,EGY,1995,6668.7456\nEgypt,EGY,1996,6881.8477\nEgypt,EGY,1997,7021.6016\nEgypt,EGY,1998,7153.041\nEgypt,EGY,1999,7506.7344\nEgypt,EGY,2000,7779.254\nEgypt,EGY,2001,7947.725\nEgypt,EGY,2002,8004.338\nEgypt,EGY,2003,8297.523\nEgypt,EGY,2004,8581.729\nEgypt,EGY,2005,8624.019\nEgypt,EGY,2006,8907.385\nEgypt,EGY,2007,9309.617\nEgypt,EGY,2008,9687.769\nEgypt,EGY,2009,9847.488\nEgypt,EGY,2010,10035.327\nEgypt,EGY,2011,10336.393\nEgypt,EGY,2012,10518.4\nEgypt,EGY,2013,10209.089\nEgypt,EGY,2014,9863.477\nEgypt,EGY,2015,9800.544\nEgypt,EGY,2016,10135.914\nEgypt,EGY,2017,10325.806\nEgypt,EGY,2018,10137.4375\nEgypt,EGY,2019,9749.406\nEgypt,EGY,2020,9028.072\nEgypt,EGY,2021,9564.884\nEgypt,EGY,2022,9857.579\nEgypt,EGY,2023,9566.154\nEgypt,EGY,2024,9660.864\n```\n\nAccording to this chart, what was per capita energy consumption in Egypt in 1996?","response":"Reading the plotted point for 1996, per capita energy consumption in Egypt was 6,881.85 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEgypt,EGY,1990,6701.1313\nEgypt,EGY,1991,6604.019\nEgypt,EGY,1992,6386.172\nEgypt,EGY,1993,6245.07\nEgypt,EGY,1994,6427.995\nEgypt,EGY,1995,6668.7456\nEgypt,EGY,1996,6881.8477\nEgypt,EGY,1997,7021.6016\nEgypt,EGY,1998,7153.041\nEgypt,EGY,1999,7506.7344\nEgypt,EGY,2000,7779.254\nEgypt,EGY,2001,7947.725\nEgypt,EGY,2002,8004.338\nEgypt,EGY,2003,8297.523\nEgypt,EGY,2004,8581.729\nEgypt,EGY,2005,8624.019\nEgypt,EGY,2006,8907.385\nEgypt,EGY,2007,9309.617\nEgypt,EGY,2008,9687.769\nEgypt,EGY,2009,9847.488\nEgypt,EGY,2010,10035.327\nEgypt,EGY,2011,10336.393\nEgypt,EGY,2012,10518.4\nEgypt,EGY,2013,10209.089\nEgypt,EGY,2014,9863.477\nEgypt,EGY,2015,9800.544\nEgypt,EGY,2016,10135.914\nEgypt,EGY,2017,10325.806\nEgypt,EGY,2018,10137.4375\nEgypt,EGY,2019,9749.406\nEgypt,EGY,2020,9028.072\nEgypt,EGY,2021,9564.884\nEgypt,EGY,2022,9857.579\nEgypt,EGY,2023,9566.154\nEgypt,EGY,2024,9660.864\n```\n\nIn which year shown does per capita energy consumption reach its highest value for Egypt?","response":"The series peaks in 2012, at 10,518.4 kWh. The lowest point shown is 1993, at 6,245.07 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEgypt,EGY,1990,6701.1313\nEgypt,EGY,1991,6604.019\nEgypt,EGY,1992,6386.172\nEgypt,EGY,1993,6245.07\nEgypt,EGY,1994,6427.995\nEgypt,EGY,1995,6668.7456\nEgypt,EGY,1996,6881.8477\nEgypt,EGY,1997,7021.6016\nEgypt,EGY,1998,7153.041\nEgypt,EGY,1999,7506.7344\nEgypt,EGY,2000,7779.254\nEgypt,EGY,2001,7947.725\nEgypt,EGY,2002,8004.338\nEgypt,EGY,2003,8297.523\nEgypt,EGY,2004,8581.729\nEgypt,EGY,2005,8624.019\nEgypt,EGY,2006,8907.385\nEgypt,EGY,2007,9309.617\nEgypt,EGY,2008,9687.769\nEgypt,EGY,2009,9847.488\nEgypt,EGY,2010,10035.327\nEgypt,EGY,2011,10336.393\nEgypt,EGY,2012,10518.4\nEgypt,EGY,2013,10209.089\nEgypt,EGY,2014,9863.477\nEgypt,EGY,2015,9800.544\nEgypt,EGY,2016,10135.914\nEgypt,EGY,2017,10325.806\nEgypt,EGY,2018,10137.4375\nEgypt,EGY,2019,9749.406\nEgypt,EGY,2020,9028.072\nEgypt,EGY,2021,9564.884\nEgypt,EGY,2022,9857.579\nEgypt,EGY,2023,9566.154\nEgypt,EGY,2024,9660.864\n```\n\nHow much did per capita energy consumption change for Egypt between 1990 and 2024?","response":"It moved from 6,701.13 kWh in 1990 to 9,660.86 kWh in 2024, a change of 2,959.73 kWh (+44.17%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEgypt,EGY,1990,6701.1313\nEgypt,EGY,1991,6604.019\nEgypt,EGY,1992,6386.172\nEgypt,EGY,1993,6245.07\nEgypt,EGY,1994,6427.995\nEgypt,EGY,1995,6668.7456\nEgypt,EGY,1996,6881.8477\nEgypt,EGY,1997,7021.6016\nEgypt,EGY,1998,7153.041\nEgypt,EGY,1999,7506.7344\nEgypt,EGY,2000,7779.254\nEgypt,EGY,2001,7947.725\nEgypt,EGY,2002,8004.338\nEgypt,EGY,2003,8297.523\nEgypt,EGY,2004,8581.729\nEgypt,EGY,2005,8624.019\nEgypt,EGY,2006,8907.385\nEgypt,EGY,2007,9309.617\nEgypt,EGY,2008,9687.769\nEgypt,EGY,2009,9847.488\nEgypt,EGY,2010,10035.327\nEgypt,EGY,2011,10336.393\nEgypt,EGY,2012,10518.4\nEgypt,EGY,2013,10209.089\nEgypt,EGY,2014,9863.477\nEgypt,EGY,2015,9800.544\nEgypt,EGY,2016,10135.914\nEgypt,EGY,2017,10325.806\nEgypt,EGY,2018,10137.4375\nEgypt,EGY,2019,9749.406\nEgypt,EGY,2020,9028.072\nEgypt,EGY,2021,9564.884\nEgypt,EGY,2022,9857.579\nEgypt,EGY,2023,9566.154\nEgypt,EGY,2024,9660.864\n```\n\nWas per capita energy consumption in Egypt higher in 1998 or 2011?","response":"Higher in 2011. The chart gives 7,153.04 kWh for 1998 and 10,336.39 kWh for 2011, a difference of 3,183.35 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEgypt,EGY,1990,6701.1313\nEgypt,EGY,1991,6604.019\nEgypt,EGY,1992,6386.172\nEgypt,EGY,1993,6245.07\nEgypt,EGY,1994,6427.995\nEgypt,EGY,1995,6668.7456\nEgypt,EGY,1996,6881.8477\nEgypt,EGY,1997,7021.6016\nEgypt,EGY,1998,7153.041\nEgypt,EGY,1999,7506.7344\nEgypt,EGY,2000,7779.254\nEgypt,EGY,2001,7947.725\nEgypt,EGY,2002,8004.338\nEgypt,EGY,2003,8297.523\nEgypt,EGY,2004,8581.729\nEgypt,EGY,2005,8624.019\nEgypt,EGY,2006,8907.385\nEgypt,EGY,2007,9309.617\nEgypt,EGY,2008,9687.769\nEgypt,EGY,2009,9847.488\nEgypt,EGY,2010,10035.327\nEgypt,EGY,2011,10336.393\nEgypt,EGY,2012,10518.4\nEgypt,EGY,2013,10209.089\nEgypt,EGY,2014,9863.477\nEgypt,EGY,2015,9800.544\nEgypt,EGY,2016,10135.914\nEgypt,EGY,2017,10325.806\nEgypt,EGY,2018,10137.4375\nEgypt,EGY,2019,9749.406\nEgypt,EGY,2020,9028.072\nEgypt,EGY,2021,9564.884\nEgypt,EGY,2022,9857.579\nEgypt,EGY,2023,9566.154\nEgypt,EGY,2024,9660.864\n```\n\nThis chart makes the change in per capita energy consumption for Egypt look dramatic. Is it?","response":"The values change by +44.17%, from 6,701.13 kWh to 9,660.86 kWh. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEgypt,EGY,1990,6701.1313\nEgypt,EGY,1991,6604.019\nEgypt,EGY,1992,6386.172\nEgypt,EGY,1993,6245.07\nEgypt,EGY,1994,6427.995\nEgypt,EGY,1995,6668.7456\nEgypt,EGY,1996,6881.8477\nEgypt,EGY,1997,7021.6016\nEgypt,EGY,1998,7153.041\nEgypt,EGY,1999,7506.7344\nEgypt,EGY,2000,7779.254\nEgypt,EGY,2001,7947.725\nEgypt,EGY,2002,8004.338\nEgypt,EGY,2003,8297.523\nEgypt,EGY,2004,8581.729\nEgypt,EGY,2005,8624.019\nEgypt,EGY,2006,8907.385\nEgypt,EGY,2007,9309.617\nEgypt,EGY,2008,9687.769\nEgypt,EGY,2009,9847.488\nEgypt,EGY,2010,10035.327\nEgypt,EGY,2011,10336.393\nEgypt,EGY,2012,10518.4\nEgypt,EGY,2013,10209.089\nEgypt,EGY,2014,9863.477\nEgypt,EGY,2015,9800.544\nEgypt,EGY,2016,10135.914\nEgypt,EGY,2017,10325.806\nEgypt,EGY,2018,10137.4375\nEgypt,EGY,2019,9749.406\nEgypt,EGY,2020,9028.072\nEgypt,EGY,2021,9564.884\nEgypt,EGY,2022,9857.579\nEgypt,EGY,2023,9566.154\nEgypt,EGY,2024,9660.864\n```\n\nThis chart appears to show per capita energy consumption in Egypt rising steeply. How large is the increase actually?","response":"The plotted values run from 6,701.13 kWh to 9,660.86 kWh, so the actual change is +44.17%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 6159.6034 instead of zero, which magnifies the visual change by roughly 2.56x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEgypt,EGY,2012,10518.4\nEgypt,EGY,2013,10209.089\nEgypt,EGY,2014,9863.477\nEgypt,EGY,2015,9800.544\nEgypt,EGY,2016,10135.914\nEgypt,EGY,2017,10325.806\nEgypt,EGY,2018,10137.4375\nEgypt,EGY,2019,9749.406\nEgypt,EGY,2020,9028.072\n```\n\nWhat does this chart suggest about the long-run direction of per capita energy consumption in Egypt?","response":"Within the window shown (2012-2020) the series moves -14.17%, but that window runs against the longer record. Across the full series (1990-2024) the change is +44.17%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEgypt,EGY,1990,6701.1313\nEgypt,EGY,1991,6604.019\nEgypt,EGY,1992,6386.172\nEgypt,EGY,1993,6245.07\nEgypt,EGY,1994,6427.995\nEgypt,EGY,1995,6668.7456\nEgypt,EGY,1996,6881.8477\nEgypt,EGY,1997,7021.6016\nEgypt,EGY,1998,7153.041\nEgypt,EGY,1999,7506.7344\nEgypt,EGY,2000,7779.254\nEgypt,EGY,2001,7947.725\nEgypt,EGY,2002,8004.338\nEgypt,EGY,2003,8297.523\nEgypt,EGY,2004,8581.729\nEgypt,EGY,2005,8624.019\nEgypt,EGY,2006,8907.385\nEgypt,EGY,2007,9309.617\nEgypt,EGY,2008,9687.769\nEgypt,EGY,2009,9847.488\nEgypt,EGY,2010,10035.327\nEgypt,EGY,2011,10336.393\nEgypt,EGY,2012,10518.4\nEgypt,EGY,2013,10209.089\nEgypt,EGY,2014,9863.477\nEgypt,EGY,2015,9800.544\nEgypt,EGY,2016,10135.914\nEgypt,EGY,2017,10325.806\nEgypt,EGY,2018,10137.4375\nEgypt,EGY,2019,9749.406\nEgypt,EGY,2020,9028.072\nEgypt,EGY,2021,9564.884\nEgypt,EGY,2022,9857.579\nEgypt,EGY,2023,9566.154\nEgypt,EGY,2024,9660.864\n```\n\nHow does Egypt compare with Nigeria on this measure?","response":"This chart covers Egypt only, so Nigeria is not plotted and I cannot compare them from it. The chart does support statements about Egypt on its own: the series runs from 6,701.13 kWh in 1990 to 9,660.86 kWh in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Egypt__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nBangladesh,BGD,1990,661.5958\nBangladesh,BGD,1991,626.2099\nBangladesh,BGD,1992,670.19476\nBangladesh,BGD,1993,723.2206\nBangladesh,BGD,1994,753.5954\nBangladesh,BGD,1995,873.6403\nBangladesh,BGD,1996,898.6105\nBangladesh,BGD,1997,926.8286\nBangladesh,BGD,1998,968.654\nBangladesh,BGD,1999,961.22345\nBangladesh,BGD,2000,1012.7131\nBangladesh,BGD,2001,1138.0438\nBangladesh,BGD,2002,1124.599\nBangladesh,BGD,2003,1171.2255\nBangladesh,BGD,2004,1228.0833\nBangladesh,BGD,2005,1314.6259\nBangladesh,BGD,2006,1406.255\nBangladesh,BGD,2007,1430.873\nBangladesh,BGD,2008,1491.5686\nBangladesh,BGD,2009,1626.1531\nBangladesh,BGD,2010,1649.6134\nBangladesh,BGD,2011,1768.5214\nBangladesh,BGD,2012,1902.5428\nBangladesh,BGD,2013,1958.5542\nBangladesh,BGD,2014,2016.6399\nBangladesh,BGD,2015,2416.2007\nBangladesh,BGD,2016,2404.6794\nBangladesh,BGD,2017,2484.585\nBangladesh,BGD,2018,2631.359\nBangladesh,BGD,2019,2926.1602\nBangladesh,BGD,2020,2750.7673\nBangladesh,BGD,2021,2937.336\nBangladesh,BGD,2022,3023.7288\nBangladesh,BGD,2023,2954.8494\nBangladesh,BGD,2024,3048.3135\n```\n\nAccording to this chart, what was per capita energy consumption in Bangladesh in 2010?","response":"Reading the plotted point for 2010, per capita energy consumption in Bangladesh was 1,649.61 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nBangladesh,BGD,1990,661.5958\nBangladesh,BGD,1991,626.2099\nBangladesh,BGD,1992,670.19476\nBangladesh,BGD,1993,723.2206\nBangladesh,BGD,1994,753.5954\nBangladesh,BGD,1995,873.6403\nBangladesh,BGD,1996,898.6105\nBangladesh,BGD,1997,926.8286\nBangladesh,BGD,1998,968.654\nBangladesh,BGD,1999,961.22345\nBangladesh,BGD,2000,1012.7131\nBangladesh,BGD,2001,1138.0438\nBangladesh,BGD,2002,1124.599\nBangladesh,BGD,2003,1171.2255\nBangladesh,BGD,2004,1228.0833\nBangladesh,BGD,2005,1314.6259\nBangladesh,BGD,2006,1406.255\nBangladesh,BGD,2007,1430.873\nBangladesh,BGD,2008,1491.5686\nBangladesh,BGD,2009,1626.1531\nBangladesh,BGD,2010,1649.6134\nBangladesh,BGD,2011,1768.5214\nBangladesh,BGD,2012,1902.5428\nBangladesh,BGD,2013,1958.5542\nBangladesh,BGD,2014,2016.6399\nBangladesh,BGD,2015,2416.2007\nBangladesh,BGD,2016,2404.6794\nBangladesh,BGD,2017,2484.585\nBangladesh,BGD,2018,2631.359\nBangladesh,BGD,2019,2926.1602\nBangladesh,BGD,2020,2750.7673\nBangladesh,BGD,2021,2937.336\nBangladesh,BGD,2022,3023.7288\nBangladesh,BGD,2023,2954.8494\nBangladesh,BGD,2024,3048.3135\n```\n\nIn which year shown does per capita energy consumption reach its highest value for Bangladesh?","response":"The series peaks in 2024, at 3,048.31 kWh. The lowest point shown is 1991, at 626.21 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nBangladesh,BGD,1990,661.5958\nBangladesh,BGD,1991,626.2099\nBangladesh,BGD,1992,670.19476\nBangladesh,BGD,1993,723.2206\nBangladesh,BGD,1994,753.5954\nBangladesh,BGD,1995,873.6403\nBangladesh,BGD,1996,898.6105\nBangladesh,BGD,1997,926.8286\nBangladesh,BGD,1998,968.654\nBangladesh,BGD,1999,961.22345\nBangladesh,BGD,2000,1012.7131\nBangladesh,BGD,2001,1138.0438\nBangladesh,BGD,2002,1124.599\nBangladesh,BGD,2003,1171.2255\nBangladesh,BGD,2004,1228.0833\nBangladesh,BGD,2005,1314.6259\nBangladesh,BGD,2006,1406.255\nBangladesh,BGD,2007,1430.873\nBangladesh,BGD,2008,1491.5686\nBangladesh,BGD,2009,1626.1531\nBangladesh,BGD,2010,1649.6134\nBangladesh,BGD,2011,1768.5214\nBangladesh,BGD,2012,1902.5428\nBangladesh,BGD,2013,1958.5542\nBangladesh,BGD,2014,2016.6399\nBangladesh,BGD,2015,2416.2007\nBangladesh,BGD,2016,2404.6794\nBangladesh,BGD,2017,2484.585\nBangladesh,BGD,2018,2631.359\nBangladesh,BGD,2019,2926.1602\nBangladesh,BGD,2020,2750.7673\nBangladesh,BGD,2021,2937.336\nBangladesh,BGD,2022,3023.7288\nBangladesh,BGD,2023,2954.8494\nBangladesh,BGD,2024,3048.3135\n```\n\nHow much did per capita energy consumption change for Bangladesh between 1990 and 2024?","response":"It moved from 661.6 kWh in 1990 to 3,048.31 kWh in 2024, a change of 2,386.72 kWh (+360.75%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nBangladesh,BGD,1990,661.5958\nBangladesh,BGD,1991,626.2099\nBangladesh,BGD,1992,670.19476\nBangladesh,BGD,1993,723.2206\nBangladesh,BGD,1994,753.5954\nBangladesh,BGD,1995,873.6403\nBangladesh,BGD,1996,898.6105\nBangladesh,BGD,1997,926.8286\nBangladesh,BGD,1998,968.654\nBangladesh,BGD,1999,961.22345\nBangladesh,BGD,2000,1012.7131\nBangladesh,BGD,2001,1138.0438\nBangladesh,BGD,2002,1124.599\nBangladesh,BGD,2003,1171.2255\nBangladesh,BGD,2004,1228.0833\nBangladesh,BGD,2005,1314.6259\nBangladesh,BGD,2006,1406.255\nBangladesh,BGD,2007,1430.873\nBangladesh,BGD,2008,1491.5686\nBangladesh,BGD,2009,1626.1531\nBangladesh,BGD,2010,1649.6134\nBangladesh,BGD,2011,1768.5214\nBangladesh,BGD,2012,1902.5428\nBangladesh,BGD,2013,1958.5542\nBangladesh,BGD,2014,2016.6399\nBangladesh,BGD,2015,2416.2007\nBangladesh,BGD,2016,2404.6794\nBangladesh,BGD,2017,2484.585\nBangladesh,BGD,2018,2631.359\nBangladesh,BGD,2019,2926.1602\nBangladesh,BGD,2020,2750.7673\nBangladesh,BGD,2021,2937.336\nBangladesh,BGD,2022,3023.7288\nBangladesh,BGD,2023,2954.8494\nBangladesh,BGD,2024,3048.3135\n```\n\nWas per capita energy consumption in Bangladesh higher in 1997 or 2019?","response":"Higher in 2019. The chart gives 926.83 kWh for 1997 and 2,926.16 kWh for 2019, a difference of 1,999.33 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nBangladesh,BGD,1990,661.5958\nBangladesh,BGD,1991,626.2099\nBangladesh,BGD,1992,670.19476\nBangladesh,BGD,1993,723.2206\nBangladesh,BGD,1994,753.5954\nBangladesh,BGD,1995,873.6403\nBangladesh,BGD,1996,898.6105\nBangladesh,BGD,1997,926.8286\nBangladesh,BGD,1998,968.654\nBangladesh,BGD,1999,961.22345\nBangladesh,BGD,2000,1012.7131\nBangladesh,BGD,2001,1138.0438\nBangladesh,BGD,2002,1124.599\nBangladesh,BGD,2003,1171.2255\nBangladesh,BGD,2004,1228.0833\nBangladesh,BGD,2005,1314.6259\nBangladesh,BGD,2006,1406.255\nBangladesh,BGD,2007,1430.873\nBangladesh,BGD,2008,1491.5686\nBangladesh,BGD,2009,1626.1531\nBangladesh,BGD,2010,1649.6134\nBangladesh,BGD,2011,1768.5214\nBangladesh,BGD,2012,1902.5428\nBangladesh,BGD,2013,1958.5542\nBangladesh,BGD,2014,2016.6399\nBangladesh,BGD,2015,2416.2007\nBangladesh,BGD,2016,2404.6794\nBangladesh,BGD,2017,2484.585\nBangladesh,BGD,2018,2631.359\nBangladesh,BGD,2019,2926.1602\nBangladesh,BGD,2020,2750.7673\nBangladesh,BGD,2021,2937.336\nBangladesh,BGD,2022,3023.7288\nBangladesh,BGD,2023,2954.8494\nBangladesh,BGD,2024,3048.3135\n```\n\nAccording to this chart, what was per capita energy consumption in Bangladesh in 2010?","response":"Reading the plotted point for 2010, per capita energy consumption in Bangladesh was 1,649.61 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nBangladesh,BGD,1990,661.5958\nBangladesh,BGD,1991,626.2099\nBangladesh,BGD,1992,670.19476\nBangladesh,BGD,1993,723.2206\nBangladesh,BGD,1994,753.5954\nBangladesh,BGD,1995,873.6403\nBangladesh,BGD,1996,898.6105\nBangladesh,BGD,1997,926.8286\nBangladesh,BGD,1998,968.654\nBangladesh,BGD,1999,961.22345\nBangladesh,BGD,2000,1012.7131\nBangladesh,BGD,2001,1138.0438\nBangladesh,BGD,2002,1124.599\nBangladesh,BGD,2003,1171.2255\nBangladesh,BGD,2004,1228.0833\nBangladesh,BGD,2005,1314.6259\nBangladesh,BGD,2006,1406.255\nBangladesh,BGD,2007,1430.873\nBangladesh,BGD,2008,1491.5686\nBangladesh,BGD,2009,1626.1531\nBangladesh,BGD,2010,1649.6134\nBangladesh,BGD,2011,1768.5214\nBangladesh,BGD,2012,1902.5428\nBangladesh,BGD,2013,1958.5542\nBangladesh,BGD,2014,2016.6399\nBangladesh,BGD,2015,2416.2007\nBangladesh,BGD,2016,2404.6794\nBangladesh,BGD,2017,2484.585\nBangladesh,BGD,2018,2631.359\nBangladesh,BGD,2019,2926.1602\nBangladesh,BGD,2020,2750.7673\nBangladesh,BGD,2021,2937.336\nBangladesh,BGD,2022,3023.7288\nBangladesh,BGD,2023,2954.8494\nBangladesh,BGD,2024,3048.3135\n```\n\nIn which year shown does per capita energy consumption reach its highest value for Bangladesh?","response":"The series peaks in 2024, at 3,048.31 kWh. The lowest point shown is 1991, at 626.21 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nBangladesh,BGD,1990,661.5958\nBangladesh,BGD,1991,626.2099\nBangladesh,BGD,1992,670.19476\nBangladesh,BGD,1993,723.2206\nBangladesh,BGD,1994,753.5954\nBangladesh,BGD,1995,873.6403\nBangladesh,BGD,1996,898.6105\nBangladesh,BGD,1997,926.8286\nBangladesh,BGD,1998,968.654\nBangladesh,BGD,1999,961.22345\nBangladesh,BGD,2000,1012.7131\nBangladesh,BGD,2001,1138.0438\nBangladesh,BGD,2002,1124.599\nBangladesh,BGD,2003,1171.2255\nBangladesh,BGD,2004,1228.0833\nBangladesh,BGD,2005,1314.6259\nBangladesh,BGD,2006,1406.255\nBangladesh,BGD,2007,1430.873\nBangladesh,BGD,2008,1491.5686\nBangladesh,BGD,2009,1626.1531\nBangladesh,BGD,2010,1649.6134\nBangladesh,BGD,2011,1768.5214\nBangladesh,BGD,2012,1902.5428\nBangladesh,BGD,2013,1958.5542\nBangladesh,BGD,2014,2016.6399\nBangladesh,BGD,2015,2416.2007\nBangladesh,BGD,2016,2404.6794\nBangladesh,BGD,2017,2484.585\nBangladesh,BGD,2018,2631.359\nBangladesh,BGD,2019,2926.1602\nBangladesh,BGD,2020,2750.7673\nBangladesh,BGD,2021,2937.336\nBangladesh,BGD,2022,3023.7288\nBangladesh,BGD,2023,2954.8494\nBangladesh,BGD,2024,3048.3135\n```\n\nHow much did per capita energy consumption change for Bangladesh between 1990 and 2024?","response":"It moved from 661.6 kWh in 1990 to 3,048.31 kWh in 2024, a change of 2,386.72 kWh (+360.75%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nBangladesh,BGD,1990,661.5958\nBangladesh,BGD,1991,626.2099\nBangladesh,BGD,1992,670.19476\nBangladesh,BGD,1993,723.2206\nBangladesh,BGD,1994,753.5954\nBangladesh,BGD,1995,873.6403\nBangladesh,BGD,1996,898.6105\nBangladesh,BGD,1997,926.8286\nBangladesh,BGD,1998,968.654\nBangladesh,BGD,1999,961.22345\nBangladesh,BGD,2000,1012.7131\nBangladesh,BGD,2001,1138.0438\nBangladesh,BGD,2002,1124.599\nBangladesh,BGD,2003,1171.2255\nBangladesh,BGD,2004,1228.0833\nBangladesh,BGD,2005,1314.6259\nBangladesh,BGD,2006,1406.255\nBangladesh,BGD,2007,1430.873\nBangladesh,BGD,2008,1491.5686\nBangladesh,BGD,2009,1626.1531\nBangladesh,BGD,2010,1649.6134\nBangladesh,BGD,2011,1768.5214\nBangladesh,BGD,2012,1902.5428\nBangladesh,BGD,2013,1958.5542\nBangladesh,BGD,2014,2016.6399\nBangladesh,BGD,2015,2416.2007\nBangladesh,BGD,2016,2404.6794\nBangladesh,BGD,2017,2484.585\nBangladesh,BGD,2018,2631.359\nBangladesh,BGD,2019,2926.1602\nBangladesh,BGD,2020,2750.7673\nBangladesh,BGD,2021,2937.336\nBangladesh,BGD,2022,3023.7288\nBangladesh,BGD,2023,2954.8494\nBangladesh,BGD,2024,3048.3135\n```\n\nWas per capita energy consumption in Bangladesh higher in 1997 or 2019?","response":"Higher in 2019. The chart gives 926.83 kWh for 1997 and 2,926.16 kWh for 2019, a difference of 1,999.33 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nBangladesh,BGD,1990,661.5958\nBangladesh,BGD,1991,626.2099\nBangladesh,BGD,1992,670.19476\nBangladesh,BGD,1993,723.2206\nBangladesh,BGD,1994,753.5954\nBangladesh,BGD,1995,873.6403\nBangladesh,BGD,1996,898.6105\nBangladesh,BGD,1997,926.8286\nBangladesh,BGD,1998,968.654\nBangladesh,BGD,1999,961.22345\nBangladesh,BGD,2000,1012.7131\nBangladesh,BGD,2001,1138.0438\nBangladesh,BGD,2002,1124.599\nBangladesh,BGD,2003,1171.2255\nBangladesh,BGD,2004,1228.0833\nBangladesh,BGD,2005,1314.6259\nBangladesh,BGD,2006,1406.255\nBangladesh,BGD,2007,1430.873\nBangladesh,BGD,2008,1491.5686\nBangladesh,BGD,2009,1626.1531\nBangladesh,BGD,2010,1649.6134\nBangladesh,BGD,2011,1768.5214\nBangladesh,BGD,2012,1902.5428\nBangladesh,BGD,2013,1958.5542\nBangladesh,BGD,2014,2016.6399\nBangladesh,BGD,2015,2416.2007\nBangladesh,BGD,2016,2404.6794\nBangladesh,BGD,2017,2484.585\nBangladesh,BGD,2018,2631.359\nBangladesh,BGD,2019,2926.1602\nBangladesh,BGD,2020,2750.7673\nBangladesh,BGD,2021,2937.336\nBangladesh,BGD,2022,3023.7288\nBangladesh,BGD,2023,2954.8494\nBangladesh,BGD,2024,3048.3135\n```\n\nThis chart makes the change in per capita energy consumption for Bangladesh look dramatic. Is it?","response":"The values change by +360.75%, from 661.6 kWh to 3,048.31 kWh. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nBangladesh,BGD,1990,661.5958\nBangladesh,BGD,1991,626.2099\nBangladesh,BGD,1992,670.19476\nBangladesh,BGD,1993,723.2206\nBangladesh,BGD,1994,753.5954\nBangladesh,BGD,1995,873.6403\nBangladesh,BGD,1996,898.6105\nBangladesh,BGD,1997,926.8286\nBangladesh,BGD,1998,968.654\nBangladesh,BGD,1999,961.22345\nBangladesh,BGD,2000,1012.7131\nBangladesh,BGD,2001,1138.0438\nBangladesh,BGD,2002,1124.599\nBangladesh,BGD,2003,1171.2255\nBangladesh,BGD,2004,1228.0833\nBangladesh,BGD,2005,1314.6259\nBangladesh,BGD,2006,1406.255\nBangladesh,BGD,2007,1430.873\nBangladesh,BGD,2008,1491.5686\nBangladesh,BGD,2009,1626.1531\nBangladesh,BGD,2010,1649.6134\nBangladesh,BGD,2011,1768.5214\nBangladesh,BGD,2012,1902.5428\nBangladesh,BGD,2013,1958.5542\nBangladesh,BGD,2014,2016.6399\nBangladesh,BGD,2015,2416.2007\nBangladesh,BGD,2016,2404.6794\nBangladesh,BGD,2017,2484.585\nBangladesh,BGD,2018,2631.359\nBangladesh,BGD,2019,2926.1602\nBangladesh,BGD,2020,2750.7673\nBangladesh,BGD,2021,2937.336\nBangladesh,BGD,2022,3023.7288\nBangladesh,BGD,2023,2954.8494\nBangladesh,BGD,2024,3048.3135\n```\n\nWhat caused the change in per capita energy consumption for Bangladesh around 2015?","response":"The chart shows that the change happened: per capita energy consumption moves to 2,416.2 kWh in 2015. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Bangladesh__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEthiopia,ETH,1990,278.25366\nEthiopia,ETH,1991,224.46619\nEthiopia,ETH,1992,303.96542\nEthiopia,ETH,1993,274.48294\nEthiopia,ETH,1994,183.87894\nEthiopia,ETH,1995,191.52744\nEthiopia,ETH,1996,144.92017\nEthiopia,ETH,1997,140.92766\nEthiopia,ETH,1998,191.173\nEthiopia,ETH,1999,227.91978\nEthiopia,ETH,2000,237.98022\nEthiopia,ETH,2001,244.97125\nEthiopia,ETH,2002,246.01785\nEthiopia,ETH,2003,256.37155\nEthiopia,ETH,2004,264.8528\nEthiopia,ETH,2005,297.26492\nEthiopia,ETH,2006,313.91116\nEthiopia,ETH,2007,342.7118\nEthiopia,ETH,2008,353.99915\nEthiopia,ETH,2009,354.18802\nEthiopia,ETH,2010,360.90558\nEthiopia,ETH,2011,383.1946\nEthiopia,ETH,2012,408.92007\nEthiopia,ETH,2013,466.4675\nEthiopia,ETH,2014,521.37726\nEthiopia,ETH,2015,533.2451\nEthiopia,ETH,2016,597.6683\nEthiopia,ETH,2017,581.1099\nEthiopia,ETH,2018,614.35406\nEthiopia,ETH,2019,688.2325\nEthiopia,ETH,2020,578.00854\nEthiopia,ETH,2021,636.4998\nEthiopia,ETH,2022,651.31836\nEthiopia,ETH,2023,686.2303\nEthiopia,ETH,2024,685.70764\n```\n\nAccording to this chart, what was per capita energy consumption in Ethiopia in 2008?","response":"Reading the plotted point for 2008, per capita energy consumption in Ethiopia was 354 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEthiopia,ETH,1990,278.25366\nEthiopia,ETH,1991,224.46619\nEthiopia,ETH,1992,303.96542\nEthiopia,ETH,1993,274.48294\nEthiopia,ETH,1994,183.87894\nEthiopia,ETH,1995,191.52744\nEthiopia,ETH,1996,144.92017\nEthiopia,ETH,1997,140.92766\nEthiopia,ETH,1998,191.173\nEthiopia,ETH,1999,227.91978\nEthiopia,ETH,2000,237.98022\nEthiopia,ETH,2001,244.97125\nEthiopia,ETH,2002,246.01785\nEthiopia,ETH,2003,256.37155\nEthiopia,ETH,2004,264.8528\nEthiopia,ETH,2005,297.26492\nEthiopia,ETH,2006,313.91116\nEthiopia,ETH,2007,342.7118\nEthiopia,ETH,2008,353.99915\nEthiopia,ETH,2009,354.18802\nEthiopia,ETH,2010,360.90558\nEthiopia,ETH,2011,383.1946\nEthiopia,ETH,2012,408.92007\nEthiopia,ETH,2013,466.4675\nEthiopia,ETH,2014,521.37726\nEthiopia,ETH,2015,533.2451\nEthiopia,ETH,2016,597.6683\nEthiopia,ETH,2017,581.1099\nEthiopia,ETH,2018,614.35406\nEthiopia,ETH,2019,688.2325\nEthiopia,ETH,2020,578.00854\nEthiopia,ETH,2021,636.4998\nEthiopia,ETH,2022,651.31836\nEthiopia,ETH,2023,686.2303\nEthiopia,ETH,2024,685.70764\n```\n\nIn which year shown does per capita energy consumption reach its highest value for Ethiopia?","response":"The series peaks in 2019, at 688.23 kWh. The lowest point shown is 1997, at 140.93 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEthiopia,ETH,1990,278.25366\nEthiopia,ETH,1991,224.46619\nEthiopia,ETH,1992,303.96542\nEthiopia,ETH,1993,274.48294\nEthiopia,ETH,1994,183.87894\nEthiopia,ETH,1995,191.52744\nEthiopia,ETH,1996,144.92017\nEthiopia,ETH,1997,140.92766\nEthiopia,ETH,1998,191.173\nEthiopia,ETH,1999,227.91978\nEthiopia,ETH,2000,237.98022\nEthiopia,ETH,2001,244.97125\nEthiopia,ETH,2002,246.01785\nEthiopia,ETH,2003,256.37155\nEthiopia,ETH,2004,264.8528\nEthiopia,ETH,2005,297.26492\nEthiopia,ETH,2006,313.91116\nEthiopia,ETH,2007,342.7118\nEthiopia,ETH,2008,353.99915\nEthiopia,ETH,2009,354.18802\nEthiopia,ETH,2010,360.90558\nEthiopia,ETH,2011,383.1946\nEthiopia,ETH,2012,408.92007\nEthiopia,ETH,2013,466.4675\nEthiopia,ETH,2014,521.37726\nEthiopia,ETH,2015,533.2451\nEthiopia,ETH,2016,597.6683\nEthiopia,ETH,2017,581.1099\nEthiopia,ETH,2018,614.35406\nEthiopia,ETH,2019,688.2325\nEthiopia,ETH,2020,578.00854\nEthiopia,ETH,2021,636.4998\nEthiopia,ETH,2022,651.31836\nEthiopia,ETH,2023,686.2303\nEthiopia,ETH,2024,685.70764\n```\n\nHow much did per capita energy consumption change for Ethiopia between 1990 and 2024?","response":"It moved from 278.25 kWh in 1990 to 685.71 kWh in 2024, a change of 407.45 kWh (+146.43%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEthiopia,ETH,1990,278.25366\nEthiopia,ETH,1991,224.46619\nEthiopia,ETH,1992,303.96542\nEthiopia,ETH,1993,274.48294\nEthiopia,ETH,1994,183.87894\nEthiopia,ETH,1995,191.52744\nEthiopia,ETH,1996,144.92017\nEthiopia,ETH,1997,140.92766\nEthiopia,ETH,1998,191.173\nEthiopia,ETH,1999,227.91978\nEthiopia,ETH,2000,237.98022\nEthiopia,ETH,2001,244.97125\nEthiopia,ETH,2002,246.01785\nEthiopia,ETH,2003,256.37155\nEthiopia,ETH,2004,264.8528\nEthiopia,ETH,2005,297.26492\nEthiopia,ETH,2006,313.91116\nEthiopia,ETH,2007,342.7118\nEthiopia,ETH,2008,353.99915\nEthiopia,ETH,2009,354.18802\nEthiopia,ETH,2010,360.90558\nEthiopia,ETH,2011,383.1946\nEthiopia,ETH,2012,408.92007\nEthiopia,ETH,2013,466.4675\nEthiopia,ETH,2014,521.37726\nEthiopia,ETH,2015,533.2451\nEthiopia,ETH,2016,597.6683\nEthiopia,ETH,2017,581.1099\nEthiopia,ETH,2018,614.35406\nEthiopia,ETH,2019,688.2325\nEthiopia,ETH,2020,578.00854\nEthiopia,ETH,2021,636.4998\nEthiopia,ETH,2022,651.31836\nEthiopia,ETH,2023,686.2303\nEthiopia,ETH,2024,685.70764\n```\n\nWas per capita energy consumption in Ethiopia higher in 1991 or 2013?","response":"Higher in 2013. The chart gives 224.47 kWh for 1991 and 466.47 kWh for 2013, a difference of 242 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEthiopia,ETH,1990,278.25366\nEthiopia,ETH,1991,224.46619\nEthiopia,ETH,1992,303.96542\nEthiopia,ETH,1993,274.48294\nEthiopia,ETH,1994,183.87894\nEthiopia,ETH,1995,191.52744\nEthiopia,ETH,1996,144.92017\nEthiopia,ETH,1997,140.92766\nEthiopia,ETH,1998,191.173\nEthiopia,ETH,1999,227.91978\nEthiopia,ETH,2000,237.98022\nEthiopia,ETH,2001,244.97125\nEthiopia,ETH,2002,246.01785\nEthiopia,ETH,2003,256.37155\nEthiopia,ETH,2004,264.8528\nEthiopia,ETH,2005,297.26492\nEthiopia,ETH,2006,313.91116\nEthiopia,ETH,2007,342.7118\nEthiopia,ETH,2008,353.99915\nEthiopia,ETH,2009,354.18802\nEthiopia,ETH,2010,360.90558\nEthiopia,ETH,2011,383.1946\nEthiopia,ETH,2012,408.92007\nEthiopia,ETH,2013,466.4675\nEthiopia,ETH,2014,521.37726\nEthiopia,ETH,2015,533.2451\nEthiopia,ETH,2016,597.6683\nEthiopia,ETH,2017,581.1099\nEthiopia,ETH,2018,614.35406\nEthiopia,ETH,2019,688.2325\nEthiopia,ETH,2020,578.00854\nEthiopia,ETH,2021,636.4998\nEthiopia,ETH,2022,651.31836\nEthiopia,ETH,2023,686.2303\nEthiopia,ETH,2024,685.70764\n```\n\nAccording to this chart, what was per capita energy consumption in Ethiopia in 2008?","response":"Reading the plotted point for 2008, per capita energy consumption in Ethiopia was 354 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEthiopia,ETH,1990,278.25366\nEthiopia,ETH,1991,224.46619\nEthiopia,ETH,1992,303.96542\nEthiopia,ETH,1993,274.48294\nEthiopia,ETH,1994,183.87894\nEthiopia,ETH,1995,191.52744\nEthiopia,ETH,1996,144.92017\nEthiopia,ETH,1997,140.92766\nEthiopia,ETH,1998,191.173\nEthiopia,ETH,1999,227.91978\nEthiopia,ETH,2000,237.98022\nEthiopia,ETH,2001,244.97125\nEthiopia,ETH,2002,246.01785\nEthiopia,ETH,2003,256.37155\nEthiopia,ETH,2004,264.8528\nEthiopia,ETH,2005,297.26492\nEthiopia,ETH,2006,313.91116\nEthiopia,ETH,2007,342.7118\nEthiopia,ETH,2008,353.99915\nEthiopia,ETH,2009,354.18802\nEthiopia,ETH,2010,360.90558\nEthiopia,ETH,2011,383.1946\nEthiopia,ETH,2012,408.92007\nEthiopia,ETH,2013,466.4675\nEthiopia,ETH,2014,521.37726\nEthiopia,ETH,2015,533.2451\nEthiopia,ETH,2016,597.6683\nEthiopia,ETH,2017,581.1099\nEthiopia,ETH,2018,614.35406\nEthiopia,ETH,2019,688.2325\nEthiopia,ETH,2020,578.00854\nEthiopia,ETH,2021,636.4998\nEthiopia,ETH,2022,651.31836\nEthiopia,ETH,2023,686.2303\nEthiopia,ETH,2024,685.70764\n```\n\nIn which year shown does per capita energy consumption reach its highest value for Ethiopia?","response":"The series peaks in 2019, at 688.23 kWh. The lowest point shown is 1997, at 140.93 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEthiopia,ETH,1990,278.25366\nEthiopia,ETH,1991,224.46619\nEthiopia,ETH,1992,303.96542\nEthiopia,ETH,1993,274.48294\nEthiopia,ETH,1994,183.87894\nEthiopia,ETH,1995,191.52744\nEthiopia,ETH,1996,144.92017\nEthiopia,ETH,1997,140.92766\nEthiopia,ETH,1998,191.173\nEthiopia,ETH,1999,227.91978\nEthiopia,ETH,2000,237.98022\nEthiopia,ETH,2001,244.97125\nEthiopia,ETH,2002,246.01785\nEthiopia,ETH,2003,256.37155\nEthiopia,ETH,2004,264.8528\nEthiopia,ETH,2005,297.26492\nEthiopia,ETH,2006,313.91116\nEthiopia,ETH,2007,342.7118\nEthiopia,ETH,2008,353.99915\nEthiopia,ETH,2009,354.18802\nEthiopia,ETH,2010,360.90558\nEthiopia,ETH,2011,383.1946\nEthiopia,ETH,2012,408.92007\nEthiopia,ETH,2013,466.4675\nEthiopia,ETH,2014,521.37726\nEthiopia,ETH,2015,533.2451\nEthiopia,ETH,2016,597.6683\nEthiopia,ETH,2017,581.1099\nEthiopia,ETH,2018,614.35406\nEthiopia,ETH,2019,688.2325\nEthiopia,ETH,2020,578.00854\nEthiopia,ETH,2021,636.4998\nEthiopia,ETH,2022,651.31836\nEthiopia,ETH,2023,686.2303\nEthiopia,ETH,2024,685.70764\n```\n\nHow much did per capita energy consumption change for Ethiopia between 1990 and 2024?","response":"It moved from 278.25 kWh in 1990 to 685.71 kWh in 2024, a change of 407.45 kWh (+146.43%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEthiopia,ETH,1990,278.25366\nEthiopia,ETH,1991,224.46619\nEthiopia,ETH,1992,303.96542\nEthiopia,ETH,1993,274.48294\nEthiopia,ETH,1994,183.87894\nEthiopia,ETH,1995,191.52744\nEthiopia,ETH,1996,144.92017\nEthiopia,ETH,1997,140.92766\nEthiopia,ETH,1998,191.173\nEthiopia,ETH,1999,227.91978\nEthiopia,ETH,2000,237.98022\nEthiopia,ETH,2001,244.97125\nEthiopia,ETH,2002,246.01785\nEthiopia,ETH,2003,256.37155\nEthiopia,ETH,2004,264.8528\nEthiopia,ETH,2005,297.26492\nEthiopia,ETH,2006,313.91116\nEthiopia,ETH,2007,342.7118\nEthiopia,ETH,2008,353.99915\nEthiopia,ETH,2009,354.18802\nEthiopia,ETH,2010,360.90558\nEthiopia,ETH,2011,383.1946\nEthiopia,ETH,2012,408.92007\nEthiopia,ETH,2013,466.4675\nEthiopia,ETH,2014,521.37726\nEthiopia,ETH,2015,533.2451\nEthiopia,ETH,2016,597.6683\nEthiopia,ETH,2017,581.1099\nEthiopia,ETH,2018,614.35406\nEthiopia,ETH,2019,688.2325\nEthiopia,ETH,2020,578.00854\nEthiopia,ETH,2021,636.4998\nEthiopia,ETH,2022,651.31836\nEthiopia,ETH,2023,686.2303\nEthiopia,ETH,2024,685.70764\n```\n\nWas per capita energy consumption in Ethiopia higher in 1991 or 2013?","response":"Higher in 2013. The chart gives 224.47 kWh for 1991 and 466.47 kWh for 2013, a difference of 242 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEthiopia,ETH,1990,278.25366\nEthiopia,ETH,1991,224.46619\nEthiopia,ETH,1992,303.96542\nEthiopia,ETH,1993,274.48294\nEthiopia,ETH,1994,183.87894\nEthiopia,ETH,1995,191.52744\nEthiopia,ETH,1996,144.92017\nEthiopia,ETH,1997,140.92766\nEthiopia,ETH,1998,191.173\nEthiopia,ETH,1999,227.91978\nEthiopia,ETH,2000,237.98022\nEthiopia,ETH,2001,244.97125\nEthiopia,ETH,2002,246.01785\nEthiopia,ETH,2003,256.37155\nEthiopia,ETH,2004,264.8528\nEthiopia,ETH,2005,297.26492\nEthiopia,ETH,2006,313.91116\nEthiopia,ETH,2007,342.7118\nEthiopia,ETH,2008,353.99915\nEthiopia,ETH,2009,354.18802\nEthiopia,ETH,2010,360.90558\nEthiopia,ETH,2011,383.1946\nEthiopia,ETH,2012,408.92007\nEthiopia,ETH,2013,466.4675\nEthiopia,ETH,2014,521.37726\nEthiopia,ETH,2015,533.2451\nEthiopia,ETH,2016,597.6683\nEthiopia,ETH,2017,581.1099\nEthiopia,ETH,2018,614.35406\nEthiopia,ETH,2019,688.2325\nEthiopia,ETH,2020,578.00854\nEthiopia,ETH,2021,636.4998\nEthiopia,ETH,2022,651.31836\nEthiopia,ETH,2023,686.2303\nEthiopia,ETH,2024,685.70764\n```\n\nThis chart makes the change in per capita energy consumption for Ethiopia look dramatic. Is it?","response":"The values change by +146.43%, from 278.25 kWh to 685.71 kWh. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEthiopia,ETH,1990,278.25366\nEthiopia,ETH,1991,224.46619\nEthiopia,ETH,1992,303.96542\nEthiopia,ETH,1993,274.48294\nEthiopia,ETH,1994,183.87894\nEthiopia,ETH,1995,191.52744\nEthiopia,ETH,1996,144.92017\nEthiopia,ETH,1997,140.92766\nEthiopia,ETH,1998,191.173\n```\n\nWhat does this chart suggest about the long-run direction of per capita energy consumption in Ethiopia?","response":"Within the window shown (1990-1998) the series moves -31.30%, but that window runs against the longer record. Across the full series (1990-2024) the change is +146.43%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Per capita energy consumption\nEthiopia,ETH,1990,278.25366\nEthiopia,ETH,1991,224.46619\nEthiopia,ETH,1992,303.96542\nEthiopia,ETH,1993,274.48294\nEthiopia,ETH,1994,183.87894\nEthiopia,ETH,1995,191.52744\nEthiopia,ETH,1996,144.92017\nEthiopia,ETH,1997,140.92766\nEthiopia,ETH,1998,191.173\nEthiopia,ETH,1999,227.91978\nEthiopia,ETH,2000,237.98022\nEthiopia,ETH,2001,244.97125\nEthiopia,ETH,2002,246.01785\nEthiopia,ETH,2003,256.37155\nEthiopia,ETH,2004,264.8528\nEthiopia,ETH,2005,297.26492\nEthiopia,ETH,2006,313.91116\nEthiopia,ETH,2007,342.7118\nEthiopia,ETH,2008,353.99915\nEthiopia,ETH,2009,354.18802\nEthiopia,ETH,2010,360.90558\nEthiopia,ETH,2011,383.1946\nEthiopia,ETH,2012,408.92007\nEthiopia,ETH,2013,466.4675\nEthiopia,ETH,2014,521.37726\nEthiopia,ETH,2015,533.2451\nEthiopia,ETH,2016,597.6683\nEthiopia,ETH,2017,581.1099\nEthiopia,ETH,2018,614.35406\nEthiopia,ETH,2019,688.2325\nEthiopia,ETH,2020,578.00854\nEthiopia,ETH,2021,636.4998\nEthiopia,ETH,2022,651.31836\nEthiopia,ETH,2023,686.2303\nEthiopia,ETH,2024,685.70764\n```\n\nWhat was per capita energy consumption for Ethiopia in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 278.25 kWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/energy-use-per-capita__Ethiopia__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Energy use per person","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/per-capita-energy-use?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nPeru,PER,1995,0.0334\nPeru,PER,1996,0.246\nPeru,PER,1997,0.403\nPeru,PER,1998,1.19\nPeru,PER,1999,1.95\nPeru,PER,2000,3.07643\nPeru,PER,2001,7.57876\nPeru,PER,2002,8.96695\nPeru,PER,2003,11.6\nPeru,PER,2004,14.1\nPeru,PER,2005,17.1\nPeru,PER,2006,20.7\nPeru,PER,2007,25.2\nPeru,PER,2008,30.57\nPeru,PER,2009,31.4\nPeru,PER,2010,34.77\nPeru,PER,2011,36.01\nPeru,PER,2012,38.2\nPeru,PER,2013,39.2\nPeru,PER,2014,40.2447\nPeru,PER,2015,40.8526\nPeru,PER,2016,45.4617\nPeru,PER,2017,50.4504\nPeru,PER,2018,55.0543\nPeru,PER,2019,59.9505\nPeru,PER,2020,65.2518\nPeru,PER,2021,71.1078\nPeru,PER,2022,74.675\nPeru,PER,2023,79.4848\nPeru,PER,2024,81.9571\n```\n\nAccording to this chart, what was share of the population using the internet in Peru in 2020?","response":"Reading the plotted point for 2020, share of the population using the internet in Peru was 65.25 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nPeru,PER,1995,0.0334\nPeru,PER,1996,0.246\nPeru,PER,1997,0.403\nPeru,PER,1998,1.19\nPeru,PER,1999,1.95\nPeru,PER,2000,3.07643\nPeru,PER,2001,7.57876\nPeru,PER,2002,8.96695\nPeru,PER,2003,11.6\nPeru,PER,2004,14.1\nPeru,PER,2005,17.1\nPeru,PER,2006,20.7\nPeru,PER,2007,25.2\nPeru,PER,2008,30.57\nPeru,PER,2009,31.4\nPeru,PER,2010,34.77\nPeru,PER,2011,36.01\nPeru,PER,2012,38.2\nPeru,PER,2013,39.2\nPeru,PER,2014,40.2447\nPeru,PER,2015,40.8526\nPeru,PER,2016,45.4617\nPeru,PER,2017,50.4504\nPeru,PER,2018,55.0543\nPeru,PER,2019,59.9505\nPeru,PER,2020,65.2518\nPeru,PER,2021,71.1078\nPeru,PER,2022,74.675\nPeru,PER,2023,79.4848\nPeru,PER,2024,81.9571\n```\n\nIn which year shown does share of the population using the internet reach its highest value for Peru?","response":"The series peaks in 2024, at 81.96 %. The lowest point shown is 1995, at 0.03 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nPeru,PER,1995,0.0334\nPeru,PER,1996,0.246\nPeru,PER,1997,0.403\nPeru,PER,1998,1.19\nPeru,PER,1999,1.95\nPeru,PER,2000,3.07643\nPeru,PER,2001,7.57876\nPeru,PER,2002,8.96695\nPeru,PER,2003,11.6\nPeru,PER,2004,14.1\nPeru,PER,2005,17.1\nPeru,PER,2006,20.7\nPeru,PER,2007,25.2\nPeru,PER,2008,30.57\nPeru,PER,2009,31.4\nPeru,PER,2010,34.77\nPeru,PER,2011,36.01\nPeru,PER,2012,38.2\nPeru,PER,2013,39.2\nPeru,PER,2014,40.2447\nPeru,PER,2015,40.8526\nPeru,PER,2016,45.4617\nPeru,PER,2017,50.4504\nPeru,PER,2018,55.0543\nPeru,PER,2019,59.9505\nPeru,PER,2020,65.2518\nPeru,PER,2021,71.1078\nPeru,PER,2022,74.675\nPeru,PER,2023,79.4848\nPeru,PER,2024,81.9571\n```\n\nHow much did share of the population using the internet change for Peru between 1995 and 2024?","response":"It moved from 0.03 % in 1995 to 81.96 % in 2024, a change of 81.92 % (+245280.54%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nPeru,PER,1995,0.0334\nPeru,PER,1996,0.246\nPeru,PER,1997,0.403\nPeru,PER,1998,1.19\nPeru,PER,1999,1.95\nPeru,PER,2000,3.07643\nPeru,PER,2001,7.57876\nPeru,PER,2002,8.96695\nPeru,PER,2003,11.6\nPeru,PER,2004,14.1\nPeru,PER,2005,17.1\nPeru,PER,2006,20.7\nPeru,PER,2007,25.2\nPeru,PER,2008,30.57\nPeru,PER,2009,31.4\nPeru,PER,2010,34.77\nPeru,PER,2011,36.01\nPeru,PER,2012,38.2\nPeru,PER,2013,39.2\nPeru,PER,2014,40.2447\nPeru,PER,2015,40.8526\nPeru,PER,2016,45.4617\nPeru,PER,2017,50.4504\nPeru,PER,2018,55.0543\nPeru,PER,2019,59.9505\nPeru,PER,2020,65.2518\nPeru,PER,2021,71.1078\nPeru,PER,2022,74.675\nPeru,PER,2023,79.4848\nPeru,PER,2024,81.9571\n```\n\nWas share of the population using the internet in Peru higher in 2003 or 2010?","response":"Higher in 2010. The chart gives 11.6 % for 2003 and 34.77 % for 2010, a difference of 23.17 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nPeru,PER,1995,0.0334\nPeru,PER,1996,0.246\nPeru,PER,1997,0.403\nPeru,PER,1998,1.19\nPeru,PER,1999,1.95\nPeru,PER,2000,3.07643\nPeru,PER,2001,7.57876\nPeru,PER,2002,8.96695\nPeru,PER,2003,11.6\nPeru,PER,2004,14.1\nPeru,PER,2005,17.1\nPeru,PER,2006,20.7\nPeru,PER,2007,25.2\nPeru,PER,2008,30.57\nPeru,PER,2009,31.4\nPeru,PER,2010,34.77\nPeru,PER,2011,36.01\nPeru,PER,2012,38.2\nPeru,PER,2013,39.2\nPeru,PER,2014,40.2447\nPeru,PER,2015,40.8526\nPeru,PER,2016,45.4617\nPeru,PER,2017,50.4504\nPeru,PER,2018,55.0543\nPeru,PER,2019,59.9505\nPeru,PER,2020,65.2518\nPeru,PER,2021,71.1078\nPeru,PER,2022,74.675\nPeru,PER,2023,79.4848\nPeru,PER,2024,81.9571\n```\n\nAccording to this chart, what was share of the population using the internet in Peru in 2020?","response":"Reading the plotted point for 2020, share of the population using the internet in Peru was 65.25 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nPeru,PER,1995,0.0334\nPeru,PER,1996,0.246\nPeru,PER,1997,0.403\nPeru,PER,1998,1.19\nPeru,PER,1999,1.95\nPeru,PER,2000,3.07643\nPeru,PER,2001,7.57876\nPeru,PER,2002,8.96695\nPeru,PER,2003,11.6\nPeru,PER,2004,14.1\nPeru,PER,2005,17.1\nPeru,PER,2006,20.7\nPeru,PER,2007,25.2\nPeru,PER,2008,30.57\nPeru,PER,2009,31.4\nPeru,PER,2010,34.77\nPeru,PER,2011,36.01\nPeru,PER,2012,38.2\nPeru,PER,2013,39.2\nPeru,PER,2014,40.2447\nPeru,PER,2015,40.8526\nPeru,PER,2016,45.4617\nPeru,PER,2017,50.4504\nPeru,PER,2018,55.0543\nPeru,PER,2019,59.9505\nPeru,PER,2020,65.2518\nPeru,PER,2021,71.1078\nPeru,PER,2022,74.675\nPeru,PER,2023,79.4848\nPeru,PER,2024,81.9571\n```\n\nIn which year shown does share of the population using the internet reach its highest value for Peru?","response":"The series peaks in 2024, at 81.96 %. The lowest point shown is 1995, at 0.03 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nPeru,PER,1995,0.0334\nPeru,PER,1996,0.246\nPeru,PER,1997,0.403\nPeru,PER,1998,1.19\nPeru,PER,1999,1.95\nPeru,PER,2000,3.07643\nPeru,PER,2001,7.57876\nPeru,PER,2002,8.96695\nPeru,PER,2003,11.6\nPeru,PER,2004,14.1\nPeru,PER,2005,17.1\nPeru,PER,2006,20.7\nPeru,PER,2007,25.2\nPeru,PER,2008,30.57\nPeru,PER,2009,31.4\nPeru,PER,2010,34.77\nPeru,PER,2011,36.01\nPeru,PER,2012,38.2\nPeru,PER,2013,39.2\nPeru,PER,2014,40.2447\nPeru,PER,2015,40.8526\nPeru,PER,2016,45.4617\nPeru,PER,2017,50.4504\nPeru,PER,2018,55.0543\nPeru,PER,2019,59.9505\nPeru,PER,2020,65.2518\nPeru,PER,2021,71.1078\nPeru,PER,2022,74.675\nPeru,PER,2023,79.4848\nPeru,PER,2024,81.9571\n```\n\nHow much did share of the population using the internet change for Peru between 1995 and 2024?","response":"It moved from 0.03 % in 1995 to 81.96 % in 2024, a change of 81.92 % (+245280.54%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nPeru,PER,1995,0.0334\nPeru,PER,1996,0.246\nPeru,PER,1997,0.403\nPeru,PER,1998,1.19\nPeru,PER,1999,1.95\nPeru,PER,2000,3.07643\nPeru,PER,2001,7.57876\nPeru,PER,2002,8.96695\nPeru,PER,2003,11.6\nPeru,PER,2004,14.1\nPeru,PER,2005,17.1\nPeru,PER,2006,20.7\nPeru,PER,2007,25.2\nPeru,PER,2008,30.57\nPeru,PER,2009,31.4\nPeru,PER,2010,34.77\nPeru,PER,2011,36.01\nPeru,PER,2012,38.2\nPeru,PER,2013,39.2\nPeru,PER,2014,40.2447\nPeru,PER,2015,40.8526\nPeru,PER,2016,45.4617\nPeru,PER,2017,50.4504\nPeru,PER,2018,55.0543\nPeru,PER,2019,59.9505\nPeru,PER,2020,65.2518\nPeru,PER,2021,71.1078\nPeru,PER,2022,74.675\nPeru,PER,2023,79.4848\nPeru,PER,2024,81.9571\n```\n\nWas share of the population using the internet in Peru higher in 2003 or 2010?","response":"Higher in 2010. The chart gives 11.6 % for 2003 and 34.77 % for 2010, a difference of 23.17 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nPeru,PER,1995,0.0334\nPeru,PER,1996,0.246\nPeru,PER,1997,0.403\nPeru,PER,1998,1.19\nPeru,PER,1999,1.95\nPeru,PER,2000,3.07643\nPeru,PER,2001,7.57876\nPeru,PER,2002,8.96695\nPeru,PER,2003,11.6\nPeru,PER,2004,14.1\nPeru,PER,2005,17.1\nPeru,PER,2006,20.7\nPeru,PER,2007,25.2\nPeru,PER,2008,30.57\nPeru,PER,2009,31.4\nPeru,PER,2010,34.77\nPeru,PER,2011,36.01\nPeru,PER,2012,38.2\nPeru,PER,2013,39.2\nPeru,PER,2014,40.2447\nPeru,PER,2015,40.8526\nPeru,PER,2016,45.4617\nPeru,PER,2017,50.4504\nPeru,PER,2018,55.0543\nPeru,PER,2019,59.9505\nPeru,PER,2020,65.2518\nPeru,PER,2021,71.1078\nPeru,PER,2022,74.675\nPeru,PER,2023,79.4848\nPeru,PER,2024,81.9571\n```\n\nBased on this chart, is share of the population using the internet in Peru rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.03 % to 81.96 %, a change of +245280.54%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nPeru,PER,1995,0.0334\nPeru,PER,1996,0.246\nPeru,PER,1997,0.403\nPeru,PER,1998,1.19\nPeru,PER,1999,1.95\nPeru,PER,2000,3.07643\nPeru,PER,2001,7.57876\nPeru,PER,2002,8.96695\nPeru,PER,2003,11.6\nPeru,PER,2004,14.1\nPeru,PER,2005,17.1\nPeru,PER,2006,20.7\nPeru,PER,2007,25.2\nPeru,PER,2008,30.57\nPeru,PER,2009,31.4\nPeru,PER,2010,34.77\nPeru,PER,2011,36.01\nPeru,PER,2012,38.2\nPeru,PER,2013,39.2\nPeru,PER,2014,40.2447\nPeru,PER,2015,40.8526\nPeru,PER,2016,45.4617\nPeru,PER,2017,50.4504\nPeru,PER,2018,55.0543\nPeru,PER,2019,59.9505\nPeru,PER,2020,65.2518\nPeru,PER,2021,71.1078\nPeru,PER,2022,74.675\nPeru,PER,2023,79.4848\nPeru,PER,2024,81.9571\n```\n\nHow does Peru compare with Viet Nam on this measure?","response":"This chart covers Peru only, so Viet Nam is not plotted and I cannot compare them from it. The chart does support statements about Peru on its own: the series runs from 0.03 % in 1995 to 81.96 % in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Peru__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nThailand,THA,1995,0.0748\nThailand,THA,1996,0.115\nThailand,THA,1997,0.361\nThailand,THA,1998,1.09\nThailand,THA,1999,2.43\nThailand,THA,2000,3.68904\nThailand,THA,2001,5.55633\nThailand,THA,2002,7.53125\nThailand,THA,2003,9.29903\nThailand,THA,2004,10.6773\nThailand,THA,2005,15.026\nThailand,THA,2006,17.1607\nThailand,THA,2007,20.03\nThailand,THA,2008,18.2\nThailand,THA,2009,20.1\nThailand,THA,2010,22.4\nThailand,THA,2011,23.6699\nThailand,THA,2012,26.46\nThailand,THA,2013,28.94\nThailand,THA,2014,34.8861\nThailand,THA,2015,39.3161\nThailand,THA,2016,47.505\nThailand,THA,2017,52.8919\nThailand,THA,2018,56.8175\nThailand,THA,2019,66.6524\nThailand,THA,2020,77.8437\nThailand,THA,2021,85.2696\nThailand,THA,2022,87.9772\nThailand,THA,2023,89.5353\nThailand,THA,2024,90.8672\n```\n\nAccording to this chart, what was share of the population using the internet in Thailand in 1999?","response":"Reading the plotted point for 1999, share of the population using the internet in Thailand was 2.43 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nThailand,THA,1995,0.0748\nThailand,THA,1996,0.115\nThailand,THA,1997,0.361\nThailand,THA,1998,1.09\nThailand,THA,1999,2.43\nThailand,THA,2000,3.68904\nThailand,THA,2001,5.55633\nThailand,THA,2002,7.53125\nThailand,THA,2003,9.29903\nThailand,THA,2004,10.6773\nThailand,THA,2005,15.026\nThailand,THA,2006,17.1607\nThailand,THA,2007,20.03\nThailand,THA,2008,18.2\nThailand,THA,2009,20.1\nThailand,THA,2010,22.4\nThailand,THA,2011,23.6699\nThailand,THA,2012,26.46\nThailand,THA,2013,28.94\nThailand,THA,2014,34.8861\nThailand,THA,2015,39.3161\nThailand,THA,2016,47.505\nThailand,THA,2017,52.8919\nThailand,THA,2018,56.8175\nThailand,THA,2019,66.6524\nThailand,THA,2020,77.8437\nThailand,THA,2021,85.2696\nThailand,THA,2022,87.9772\nThailand,THA,2023,89.5353\nThailand,THA,2024,90.8672\n```\n\nIn which year shown does share of the population using the internet reach its highest value for Thailand?","response":"The series peaks in 2024, at 90.87 %. The lowest point shown is 1995, at 0.07 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nThailand,THA,1995,0.0748\nThailand,THA,1996,0.115\nThailand,THA,1997,0.361\nThailand,THA,1998,1.09\nThailand,THA,1999,2.43\nThailand,THA,2000,3.68904\nThailand,THA,2001,5.55633\nThailand,THA,2002,7.53125\nThailand,THA,2003,9.29903\nThailand,THA,2004,10.6773\nThailand,THA,2005,15.026\nThailand,THA,2006,17.1607\nThailand,THA,2007,20.03\nThailand,THA,2008,18.2\nThailand,THA,2009,20.1\nThailand,THA,2010,22.4\nThailand,THA,2011,23.6699\nThailand,THA,2012,26.46\nThailand,THA,2013,28.94\nThailand,THA,2014,34.8861\nThailand,THA,2015,39.3161\nThailand,THA,2016,47.505\nThailand,THA,2017,52.8919\nThailand,THA,2018,56.8175\nThailand,THA,2019,66.6524\nThailand,THA,2020,77.8437\nThailand,THA,2021,85.2696\nThailand,THA,2022,87.9772\nThailand,THA,2023,89.5353\nThailand,THA,2024,90.8672\n```\n\nHow much did share of the population using the internet change for Thailand between 1995 and 2024?","response":"It moved from 0.07 % in 1995 to 90.87 % in 2024, a change of 90.79 % (+121380.21%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nThailand,THA,1995,0.0748\nThailand,THA,1996,0.115\nThailand,THA,1997,0.361\nThailand,THA,1998,1.09\nThailand,THA,1999,2.43\nThailand,THA,2000,3.68904\nThailand,THA,2001,5.55633\nThailand,THA,2002,7.53125\nThailand,THA,2003,9.29903\nThailand,THA,2004,10.6773\nThailand,THA,2005,15.026\nThailand,THA,2006,17.1607\nThailand,THA,2007,20.03\nThailand,THA,2008,18.2\nThailand,THA,2009,20.1\nThailand,THA,2010,22.4\nThailand,THA,2011,23.6699\nThailand,THA,2012,26.46\nThailand,THA,2013,28.94\nThailand,THA,2014,34.8861\nThailand,THA,2015,39.3161\nThailand,THA,2016,47.505\nThailand,THA,2017,52.8919\nThailand,THA,2018,56.8175\nThailand,THA,2019,66.6524\nThailand,THA,2020,77.8437\nThailand,THA,2021,85.2696\nThailand,THA,2022,87.9772\nThailand,THA,2023,89.5353\nThailand,THA,2024,90.8672\n```\n\nWas share of the population using the internet in Thailand higher in 1997 or 2023?","response":"Higher in 2023. The chart gives 0.36 % for 1997 and 89.54 % for 2023, a difference of 89.17 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nThailand,THA,1995,0.0748\nThailand,THA,1996,0.115\nThailand,THA,1997,0.361\nThailand,THA,1998,1.09\nThailand,THA,1999,2.43\nThailand,THA,2000,3.68904\nThailand,THA,2001,5.55633\nThailand,THA,2002,7.53125\nThailand,THA,2003,9.29903\nThailand,THA,2004,10.6773\nThailand,THA,2005,15.026\nThailand,THA,2006,17.1607\nThailand,THA,2007,20.03\nThailand,THA,2008,18.2\nThailand,THA,2009,20.1\nThailand,THA,2010,22.4\nThailand,THA,2011,23.6699\nThailand,THA,2012,26.46\nThailand,THA,2013,28.94\nThailand,THA,2014,34.8861\nThailand,THA,2015,39.3161\nThailand,THA,2016,47.505\nThailand,THA,2017,52.8919\nThailand,THA,2018,56.8175\nThailand,THA,2019,66.6524\nThailand,THA,2020,77.8437\nThailand,THA,2021,85.2696\nThailand,THA,2022,87.9772\nThailand,THA,2023,89.5353\nThailand,THA,2024,90.8672\n```\n\nAccording to this chart, what was share of the population using the internet in Thailand in 1999?","response":"Reading the plotted point for 1999, share of the population using the internet in Thailand was 2.43 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nThailand,THA,1995,0.0748\nThailand,THA,1996,0.115\nThailand,THA,1997,0.361\nThailand,THA,1998,1.09\nThailand,THA,1999,2.43\nThailand,THA,2000,3.68904\nThailand,THA,2001,5.55633\nThailand,THA,2002,7.53125\nThailand,THA,2003,9.29903\nThailand,THA,2004,10.6773\nThailand,THA,2005,15.026\nThailand,THA,2006,17.1607\nThailand,THA,2007,20.03\nThailand,THA,2008,18.2\nThailand,THA,2009,20.1\nThailand,THA,2010,22.4\nThailand,THA,2011,23.6699\nThailand,THA,2012,26.46\nThailand,THA,2013,28.94\nThailand,THA,2014,34.8861\nThailand,THA,2015,39.3161\nThailand,THA,2016,47.505\nThailand,THA,2017,52.8919\nThailand,THA,2018,56.8175\nThailand,THA,2019,66.6524\nThailand,THA,2020,77.8437\nThailand,THA,2021,85.2696\nThailand,THA,2022,87.9772\nThailand,THA,2023,89.5353\nThailand,THA,2024,90.8672\n```\n\nIn which year shown does share of the population using the internet reach its highest value for Thailand?","response":"The series peaks in 2024, at 90.87 %. The lowest point shown is 1995, at 0.07 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nThailand,THA,1995,0.0748\nThailand,THA,1996,0.115\nThailand,THA,1997,0.361\nThailand,THA,1998,1.09\nThailand,THA,1999,2.43\nThailand,THA,2000,3.68904\nThailand,THA,2001,5.55633\nThailand,THA,2002,7.53125\nThailand,THA,2003,9.29903\nThailand,THA,2004,10.6773\nThailand,THA,2005,15.026\nThailand,THA,2006,17.1607\nThailand,THA,2007,20.03\nThailand,THA,2008,18.2\nThailand,THA,2009,20.1\nThailand,THA,2010,22.4\nThailand,THA,2011,23.6699\nThailand,THA,2012,26.46\nThailand,THA,2013,28.94\nThailand,THA,2014,34.8861\nThailand,THA,2015,39.3161\nThailand,THA,2016,47.505\nThailand,THA,2017,52.8919\nThailand,THA,2018,56.8175\nThailand,THA,2019,66.6524\nThailand,THA,2020,77.8437\nThailand,THA,2021,85.2696\nThailand,THA,2022,87.9772\nThailand,THA,2023,89.5353\nThailand,THA,2024,90.8672\n```\n\nHow much did share of the population using the internet change for Thailand between 1995 and 2024?","response":"It moved from 0.07 % in 1995 to 90.87 % in 2024, a change of 90.79 % (+121380.21%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nThailand,THA,1995,0.0748\nThailand,THA,1996,0.115\nThailand,THA,1997,0.361\nThailand,THA,1998,1.09\nThailand,THA,1999,2.43\nThailand,THA,2000,3.68904\nThailand,THA,2001,5.55633\nThailand,THA,2002,7.53125\nThailand,THA,2003,9.29903\nThailand,THA,2004,10.6773\nThailand,THA,2005,15.026\nThailand,THA,2006,17.1607\nThailand,THA,2007,20.03\nThailand,THA,2008,18.2\nThailand,THA,2009,20.1\nThailand,THA,2010,22.4\nThailand,THA,2011,23.6699\nThailand,THA,2012,26.46\nThailand,THA,2013,28.94\nThailand,THA,2014,34.8861\nThailand,THA,2015,39.3161\nThailand,THA,2016,47.505\nThailand,THA,2017,52.8919\nThailand,THA,2018,56.8175\nThailand,THA,2019,66.6524\nThailand,THA,2020,77.8437\nThailand,THA,2021,85.2696\nThailand,THA,2022,87.9772\nThailand,THA,2023,89.5353\nThailand,THA,2024,90.8672\n```\n\nWas share of the population using the internet in Thailand higher in 1997 or 2023?","response":"Higher in 2023. The chart gives 0.36 % for 1997 and 89.54 % for 2023, a difference of 89.17 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nThailand,THA,1995,0.0748\nThailand,THA,1996,0.115\nThailand,THA,1997,0.361\nThailand,THA,1998,1.09\nThailand,THA,1999,2.43\nThailand,THA,2000,3.68904\nThailand,THA,2001,5.55633\nThailand,THA,2002,7.53125\nThailand,THA,2003,9.29903\nThailand,THA,2004,10.6773\nThailand,THA,2005,15.026\nThailand,THA,2006,17.1607\nThailand,THA,2007,20.03\nThailand,THA,2008,18.2\nThailand,THA,2009,20.1\nThailand,THA,2010,22.4\nThailand,THA,2011,23.6699\nThailand,THA,2012,26.46\nThailand,THA,2013,28.94\nThailand,THA,2014,34.8861\nThailand,THA,2015,39.3161\nThailand,THA,2016,47.505\nThailand,THA,2017,52.8919\nThailand,THA,2018,56.8175\nThailand,THA,2019,66.6524\nThailand,THA,2020,77.8437\nThailand,THA,2021,85.2696\nThailand,THA,2022,87.9772\nThailand,THA,2023,89.5353\nThailand,THA,2024,90.8672\n```\n\nBased on this chart, is share of the population using the internet in Thailand rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.07 % to 90.87 %, a change of +121380.21%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nThailand,THA,1995,0.0748\nThailand,THA,1996,0.115\nThailand,THA,1997,0.361\nThailand,THA,1998,1.09\nThailand,THA,1999,2.43\nThailand,THA,2000,3.68904\nThailand,THA,2001,5.55633\nThailand,THA,2002,7.53125\nThailand,THA,2003,9.29903\nThailand,THA,2004,10.6773\nThailand,THA,2005,15.026\nThailand,THA,2006,17.1607\nThailand,THA,2007,20.03\nThailand,THA,2008,18.2\nThailand,THA,2009,20.1\nThailand,THA,2010,22.4\nThailand,THA,2011,23.6699\nThailand,THA,2012,26.46\nThailand,THA,2013,28.94\nThailand,THA,2014,34.8861\nThailand,THA,2015,39.3161\nThailand,THA,2016,47.505\nThailand,THA,2017,52.8919\nThailand,THA,2018,56.8175\nThailand,THA,2019,66.6524\nThailand,THA,2020,77.8437\nThailand,THA,2021,85.2696\nThailand,THA,2022,87.9772\nThailand,THA,2023,89.5353\nThailand,THA,2024,90.8672\n```\n\nHow does Thailand compare with Nigeria on this measure?","response":"This chart covers Thailand only, so Nigeria is not plotted and I cannot compare them from it. The chart does support statements about Thailand on its own: the series runs from 0.07 % in 1995 to 90.87 % in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Thailand__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nSpain,ESP,1995,0.381\nSpain,ESP,1996,1.33\nSpain,ESP,1997,2.8\nSpain,ESP,1998,4.36\nSpain,ESP,1999,7.09\nSpain,ESP,2000,13.625\nSpain,ESP,2001,18.1487\nSpain,ESP,2002,20.39\nSpain,ESP,2003,39.93\nSpain,ESP,2004,44.01\nSpain,ESP,2005,47.88\nSpain,ESP,2006,50.37\nSpain,ESP,2007,55.11\nSpain,ESP,2008,59.6\nSpain,ESP,2009,62.4\nSpain,ESP,2010,65.8\nSpain,ESP,2011,67.09\nSpain,ESP,2012,69.81\nSpain,ESP,2013,71.635\nSpain,ESP,2014,76.1867\nSpain,ESP,2015,78.6896\nSpain,ESP,2016,80.5613\nSpain,ESP,2017,84.6022\nSpain,ESP,2018,86.1072\nSpain,ESP,2019,90.7187\nSpain,ESP,2020,93.2056\nSpain,ESP,2021,93.8975\nSpain,ESP,2022,94.4855\nSpain,ESP,2023,95.4456\nSpain,ESP,2024,95.7575\n```\n\nAccording to this chart, what was share of the population using the internet in Spain in 2017?","response":"Reading the plotted point for 2017, share of the population using the internet in Spain was 84.6 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nSpain,ESP,1995,0.381\nSpain,ESP,1996,1.33\nSpain,ESP,1997,2.8\nSpain,ESP,1998,4.36\nSpain,ESP,1999,7.09\nSpain,ESP,2000,13.625\nSpain,ESP,2001,18.1487\nSpain,ESP,2002,20.39\nSpain,ESP,2003,39.93\nSpain,ESP,2004,44.01\nSpain,ESP,2005,47.88\nSpain,ESP,2006,50.37\nSpain,ESP,2007,55.11\nSpain,ESP,2008,59.6\nSpain,ESP,2009,62.4\nSpain,ESP,2010,65.8\nSpain,ESP,2011,67.09\nSpain,ESP,2012,69.81\nSpain,ESP,2013,71.635\nSpain,ESP,2014,76.1867\nSpain,ESP,2015,78.6896\nSpain,ESP,2016,80.5613\nSpain,ESP,2017,84.6022\nSpain,ESP,2018,86.1072\nSpain,ESP,2019,90.7187\nSpain,ESP,2020,93.2056\nSpain,ESP,2021,93.8975\nSpain,ESP,2022,94.4855\nSpain,ESP,2023,95.4456\nSpain,ESP,2024,95.7575\n```\n\nIn which year shown does share of the population using the internet reach its highest value for Spain?","response":"The series peaks in 2024, at 95.76 %. The lowest point shown is 1995, at 0.38 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nSpain,ESP,1995,0.381\nSpain,ESP,1996,1.33\nSpain,ESP,1997,2.8\nSpain,ESP,1998,4.36\nSpain,ESP,1999,7.09\nSpain,ESP,2000,13.625\nSpain,ESP,2001,18.1487\nSpain,ESP,2002,20.39\nSpain,ESP,2003,39.93\nSpain,ESP,2004,44.01\nSpain,ESP,2005,47.88\nSpain,ESP,2006,50.37\nSpain,ESP,2007,55.11\nSpain,ESP,2008,59.6\nSpain,ESP,2009,62.4\nSpain,ESP,2010,65.8\nSpain,ESP,2011,67.09\nSpain,ESP,2012,69.81\nSpain,ESP,2013,71.635\nSpain,ESP,2014,76.1867\nSpain,ESP,2015,78.6896\nSpain,ESP,2016,80.5613\nSpain,ESP,2017,84.6022\nSpain,ESP,2018,86.1072\nSpain,ESP,2019,90.7187\nSpain,ESP,2020,93.2056\nSpain,ESP,2021,93.8975\nSpain,ESP,2022,94.4855\nSpain,ESP,2023,95.4456\nSpain,ESP,2024,95.7575\n```\n\nHow much did share of the population using the internet change for Spain between 1995 and 2024?","response":"It moved from 0.38 % in 1995 to 95.76 % in 2024, a change of 95.38 % (+25033.20%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nSpain,ESP,1995,0.381\nSpain,ESP,1996,1.33\nSpain,ESP,1997,2.8\nSpain,ESP,1998,4.36\nSpain,ESP,1999,7.09\nSpain,ESP,2000,13.625\nSpain,ESP,2001,18.1487\nSpain,ESP,2002,20.39\nSpain,ESP,2003,39.93\nSpain,ESP,2004,44.01\nSpain,ESP,2005,47.88\nSpain,ESP,2006,50.37\nSpain,ESP,2007,55.11\nSpain,ESP,2008,59.6\nSpain,ESP,2009,62.4\nSpain,ESP,2010,65.8\nSpain,ESP,2011,67.09\nSpain,ESP,2012,69.81\nSpain,ESP,2013,71.635\nSpain,ESP,2014,76.1867\nSpain,ESP,2015,78.6896\nSpain,ESP,2016,80.5613\nSpain,ESP,2017,84.6022\nSpain,ESP,2018,86.1072\nSpain,ESP,2019,90.7187\nSpain,ESP,2020,93.2056\nSpain,ESP,2021,93.8975\nSpain,ESP,2022,94.4855\nSpain,ESP,2023,95.4456\nSpain,ESP,2024,95.7575\n```\n\nWas share of the population using the internet in Spain higher in 2009 or 2021?","response":"Higher in 2021. The chart gives 62.4 % for 2009 and 93.9 % for 2021, a difference of 31.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nSpain,ESP,1995,0.381\nSpain,ESP,1996,1.33\nSpain,ESP,1997,2.8\nSpain,ESP,1998,4.36\nSpain,ESP,1999,7.09\nSpain,ESP,2000,13.625\nSpain,ESP,2001,18.1487\nSpain,ESP,2002,20.39\nSpain,ESP,2003,39.93\nSpain,ESP,2004,44.01\nSpain,ESP,2005,47.88\nSpain,ESP,2006,50.37\nSpain,ESP,2007,55.11\nSpain,ESP,2008,59.6\nSpain,ESP,2009,62.4\nSpain,ESP,2010,65.8\nSpain,ESP,2011,67.09\nSpain,ESP,2012,69.81\nSpain,ESP,2013,71.635\nSpain,ESP,2014,76.1867\nSpain,ESP,2015,78.6896\nSpain,ESP,2016,80.5613\nSpain,ESP,2017,84.6022\nSpain,ESP,2018,86.1072\nSpain,ESP,2019,90.7187\nSpain,ESP,2020,93.2056\nSpain,ESP,2021,93.8975\nSpain,ESP,2022,94.4855\nSpain,ESP,2023,95.4456\nSpain,ESP,2024,95.7575\n```\n\nAccording to this chart, what was share of the population using the internet in Spain in 2017?","response":"Reading the plotted point for 2017, share of the population using the internet in Spain was 84.6 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nSpain,ESP,1995,0.381\nSpain,ESP,1996,1.33\nSpain,ESP,1997,2.8\nSpain,ESP,1998,4.36\nSpain,ESP,1999,7.09\nSpain,ESP,2000,13.625\nSpain,ESP,2001,18.1487\nSpain,ESP,2002,20.39\nSpain,ESP,2003,39.93\nSpain,ESP,2004,44.01\nSpain,ESP,2005,47.88\nSpain,ESP,2006,50.37\nSpain,ESP,2007,55.11\nSpain,ESP,2008,59.6\nSpain,ESP,2009,62.4\nSpain,ESP,2010,65.8\nSpain,ESP,2011,67.09\nSpain,ESP,2012,69.81\nSpain,ESP,2013,71.635\nSpain,ESP,2014,76.1867\nSpain,ESP,2015,78.6896\nSpain,ESP,2016,80.5613\nSpain,ESP,2017,84.6022\nSpain,ESP,2018,86.1072\nSpain,ESP,2019,90.7187\nSpain,ESP,2020,93.2056\nSpain,ESP,2021,93.8975\nSpain,ESP,2022,94.4855\nSpain,ESP,2023,95.4456\nSpain,ESP,2024,95.7575\n```\n\nIn which year shown does share of the population using the internet reach its highest value for Spain?","response":"The series peaks in 2024, at 95.76 %. The lowest point shown is 1995, at 0.38 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nSpain,ESP,1995,0.381\nSpain,ESP,1996,1.33\nSpain,ESP,1997,2.8\nSpain,ESP,1998,4.36\nSpain,ESP,1999,7.09\nSpain,ESP,2000,13.625\nSpain,ESP,2001,18.1487\nSpain,ESP,2002,20.39\nSpain,ESP,2003,39.93\nSpain,ESP,2004,44.01\nSpain,ESP,2005,47.88\nSpain,ESP,2006,50.37\nSpain,ESP,2007,55.11\nSpain,ESP,2008,59.6\nSpain,ESP,2009,62.4\nSpain,ESP,2010,65.8\nSpain,ESP,2011,67.09\nSpain,ESP,2012,69.81\nSpain,ESP,2013,71.635\nSpain,ESP,2014,76.1867\nSpain,ESP,2015,78.6896\nSpain,ESP,2016,80.5613\nSpain,ESP,2017,84.6022\nSpain,ESP,2018,86.1072\nSpain,ESP,2019,90.7187\nSpain,ESP,2020,93.2056\nSpain,ESP,2021,93.8975\nSpain,ESP,2022,94.4855\nSpain,ESP,2023,95.4456\nSpain,ESP,2024,95.7575\n```\n\nHow much did share of the population using the internet change for Spain between 1995 and 2024?","response":"It moved from 0.38 % in 1995 to 95.76 % in 2024, a change of 95.38 % (+25033.20%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nSpain,ESP,1995,0.381\nSpain,ESP,1996,1.33\nSpain,ESP,1997,2.8\nSpain,ESP,1998,4.36\nSpain,ESP,1999,7.09\nSpain,ESP,2000,13.625\nSpain,ESP,2001,18.1487\nSpain,ESP,2002,20.39\nSpain,ESP,2003,39.93\nSpain,ESP,2004,44.01\nSpain,ESP,2005,47.88\nSpain,ESP,2006,50.37\nSpain,ESP,2007,55.11\nSpain,ESP,2008,59.6\nSpain,ESP,2009,62.4\nSpain,ESP,2010,65.8\nSpain,ESP,2011,67.09\nSpain,ESP,2012,69.81\nSpain,ESP,2013,71.635\nSpain,ESP,2014,76.1867\nSpain,ESP,2015,78.6896\nSpain,ESP,2016,80.5613\nSpain,ESP,2017,84.6022\nSpain,ESP,2018,86.1072\nSpain,ESP,2019,90.7187\nSpain,ESP,2020,93.2056\nSpain,ESP,2021,93.8975\nSpain,ESP,2022,94.4855\nSpain,ESP,2023,95.4456\nSpain,ESP,2024,95.7575\n```\n\nWas share of the population using the internet in Spain higher in 2009 or 2021?","response":"Higher in 2021. The chart gives 62.4 % for 2009 and 93.9 % for 2021, a difference of 31.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nSpain,ESP,1995,0.381\nSpain,ESP,1996,1.33\nSpain,ESP,1997,2.8\nSpain,ESP,1998,4.36\nSpain,ESP,1999,7.09\nSpain,ESP,2000,13.625\nSpain,ESP,2001,18.1487\nSpain,ESP,2002,20.39\nSpain,ESP,2003,39.93\nSpain,ESP,2004,44.01\nSpain,ESP,2005,47.88\nSpain,ESP,2006,50.37\nSpain,ESP,2007,55.11\nSpain,ESP,2008,59.6\nSpain,ESP,2009,62.4\nSpain,ESP,2010,65.8\nSpain,ESP,2011,67.09\nSpain,ESP,2012,69.81\nSpain,ESP,2013,71.635\nSpain,ESP,2014,76.1867\nSpain,ESP,2015,78.6896\nSpain,ESP,2016,80.5613\nSpain,ESP,2017,84.6022\nSpain,ESP,2018,86.1072\nSpain,ESP,2019,90.7187\nSpain,ESP,2020,93.2056\nSpain,ESP,2021,93.8975\nSpain,ESP,2022,94.4855\nSpain,ESP,2023,95.4456\nSpain,ESP,2024,95.7575\n```\n\nBased on this chart, is share of the population using the internet in Spain rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.38 % to 95.76 %, a change of +25033.20%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nSpain,ESP,1995,0.381\nSpain,ESP,1996,1.33\nSpain,ESP,1997,2.8\nSpain,ESP,1998,4.36\nSpain,ESP,1999,7.09\nSpain,ESP,2000,13.625\nSpain,ESP,2001,18.1487\nSpain,ESP,2002,20.39\nSpain,ESP,2003,39.93\nSpain,ESP,2004,44.01\nSpain,ESP,2005,47.88\nSpain,ESP,2006,50.37\nSpain,ESP,2007,55.11\nSpain,ESP,2008,59.6\nSpain,ESP,2009,62.4\nSpain,ESP,2010,65.8\nSpain,ESP,2011,67.09\nSpain,ESP,2012,69.81\nSpain,ESP,2013,71.635\nSpain,ESP,2014,76.1867\nSpain,ESP,2015,78.6896\nSpain,ESP,2016,80.5613\nSpain,ESP,2017,84.6022\nSpain,ESP,2018,86.1072\nSpain,ESP,2019,90.7187\nSpain,ESP,2020,93.2056\nSpain,ESP,2021,93.8975\nSpain,ESP,2022,94.4855\nSpain,ESP,2023,95.4456\nSpain,ESP,2024,95.7575\n```\n\nThis chart makes the change in share of the population using the internet for Spain look dramatic. Is it?","response":"The values change by +25033.20%, from 0.38 % to 95.76 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nSpain,ESP,1995,0.381\nSpain,ESP,1996,1.33\nSpain,ESP,1997,2.8\nSpain,ESP,1998,4.36\nSpain,ESP,1999,7.09\nSpain,ESP,2000,13.625\nSpain,ESP,2001,18.1487\nSpain,ESP,2002,20.39\nSpain,ESP,2003,39.93\nSpain,ESP,2004,44.01\nSpain,ESP,2005,47.88\nSpain,ESP,2006,50.37\nSpain,ESP,2007,55.11\nSpain,ESP,2008,59.6\nSpain,ESP,2009,62.4\nSpain,ESP,2010,65.8\nSpain,ESP,2011,67.09\nSpain,ESP,2012,69.81\nSpain,ESP,2013,71.635\nSpain,ESP,2014,76.1867\nSpain,ESP,2015,78.6896\nSpain,ESP,2016,80.5613\nSpain,ESP,2017,84.6022\nSpain,ESP,2018,86.1072\nSpain,ESP,2019,90.7187\nSpain,ESP,2020,93.2056\nSpain,ESP,2021,93.8975\nSpain,ESP,2022,94.4855\nSpain,ESP,2023,95.4456\nSpain,ESP,2024,95.7575\n```\n\nWhat caused the change in share of the population using the internet for Spain around 2003?","response":"The chart shows that the change happened: share of the population using the internet moves to 39.93 % in 2003. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__Spain__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nFrance,FRA,1995,1.64\nFrance,FRA,1996,2.58\nFrance,FRA,1997,4.26\nFrance,FRA,1998,6.32\nFrance,FRA,1999,9.13\nFrance,FRA,2000,14.3079\nFrance,FRA,2001,26.3259\nFrance,FRA,2002,30.18\nFrance,FRA,2003,36.14\nFrance,FRA,2004,39.15\nFrance,FRA,2005,42.87\nFrance,FRA,2006,46.87\nFrance,FRA,2007,66.09\nFrance,FRA,2008,70.68\nFrance,FRA,2009,71.58\nFrance,FRA,2010,77.28\nFrance,FRA,2011,77.82\nFrance,FRA,2012,81.44\nFrance,FRA,2013,81.9198\nFrance,FRA,2014,83.7511\nFrance,FRA,2015,78.006\nFrance,FRA,2016,79.2698\nFrance,FRA,2017,80.5025\nFrance,FRA,2018,82.0432\nFrance,FRA,2019,83.3397\nFrance,FRA,2020,84.7064\nFrance,FRA,2021,86.0955\nFrance,FRA,2022,85.3333\nFrance,FRA,2023,86.8364\nFrance,FRA,2024,88.6538\n```\n\nAccording to this chart, what was share of the population using the internet in France in 2020?","response":"Reading the plotted point for 2020, share of the population using the internet in France was 84.71 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nFrance,FRA,1995,1.64\nFrance,FRA,1996,2.58\nFrance,FRA,1997,4.26\nFrance,FRA,1998,6.32\nFrance,FRA,1999,9.13\nFrance,FRA,2000,14.3079\nFrance,FRA,2001,26.3259\nFrance,FRA,2002,30.18\nFrance,FRA,2003,36.14\nFrance,FRA,2004,39.15\nFrance,FRA,2005,42.87\nFrance,FRA,2006,46.87\nFrance,FRA,2007,66.09\nFrance,FRA,2008,70.68\nFrance,FRA,2009,71.58\nFrance,FRA,2010,77.28\nFrance,FRA,2011,77.82\nFrance,FRA,2012,81.44\nFrance,FRA,2013,81.9198\nFrance,FRA,2014,83.7511\nFrance,FRA,2015,78.006\nFrance,FRA,2016,79.2698\nFrance,FRA,2017,80.5025\nFrance,FRA,2018,82.0432\nFrance,FRA,2019,83.3397\nFrance,FRA,2020,84.7064\nFrance,FRA,2021,86.0955\nFrance,FRA,2022,85.3333\nFrance,FRA,2023,86.8364\nFrance,FRA,2024,88.6538\n```\n\nIn which year shown does share of the population using the internet reach its highest value for France?","response":"The series peaks in 2024, at 88.65 %. The lowest point shown is 1995, at 1.64 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nFrance,FRA,1995,1.64\nFrance,FRA,1996,2.58\nFrance,FRA,1997,4.26\nFrance,FRA,1998,6.32\nFrance,FRA,1999,9.13\nFrance,FRA,2000,14.3079\nFrance,FRA,2001,26.3259\nFrance,FRA,2002,30.18\nFrance,FRA,2003,36.14\nFrance,FRA,2004,39.15\nFrance,FRA,2005,42.87\nFrance,FRA,2006,46.87\nFrance,FRA,2007,66.09\nFrance,FRA,2008,70.68\nFrance,FRA,2009,71.58\nFrance,FRA,2010,77.28\nFrance,FRA,2011,77.82\nFrance,FRA,2012,81.44\nFrance,FRA,2013,81.9198\nFrance,FRA,2014,83.7511\nFrance,FRA,2015,78.006\nFrance,FRA,2016,79.2698\nFrance,FRA,2017,80.5025\nFrance,FRA,2018,82.0432\nFrance,FRA,2019,83.3397\nFrance,FRA,2020,84.7064\nFrance,FRA,2021,86.0955\nFrance,FRA,2022,85.3333\nFrance,FRA,2023,86.8364\nFrance,FRA,2024,88.6538\n```\n\nHow much did share of the population using the internet change for France between 1995 and 2024?","response":"It moved from 1.64 % in 1995 to 88.65 % in 2024, a change of 87.01 % (+5305.72%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nFrance,FRA,1995,1.64\nFrance,FRA,1996,2.58\nFrance,FRA,1997,4.26\nFrance,FRA,1998,6.32\nFrance,FRA,1999,9.13\nFrance,FRA,2000,14.3079\nFrance,FRA,2001,26.3259\nFrance,FRA,2002,30.18\nFrance,FRA,2003,36.14\nFrance,FRA,2004,39.15\nFrance,FRA,2005,42.87\nFrance,FRA,2006,46.87\nFrance,FRA,2007,66.09\nFrance,FRA,2008,70.68\nFrance,FRA,2009,71.58\nFrance,FRA,2010,77.28\nFrance,FRA,2011,77.82\nFrance,FRA,2012,81.44\nFrance,FRA,2013,81.9198\nFrance,FRA,2014,83.7511\nFrance,FRA,2015,78.006\nFrance,FRA,2016,79.2698\nFrance,FRA,2017,80.5025\nFrance,FRA,2018,82.0432\nFrance,FRA,2019,83.3397\nFrance,FRA,2020,84.7064\nFrance,FRA,2021,86.0955\nFrance,FRA,2022,85.3333\nFrance,FRA,2023,86.8364\nFrance,FRA,2024,88.6538\n```\n\nWas share of the population using the internet in France higher in 1997 or 2023?","response":"Higher in 2023. The chart gives 4.26 % for 1997 and 86.84 % for 2023, a difference of 82.58 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nFrance,FRA,1995,1.64\nFrance,FRA,1996,2.58\nFrance,FRA,1997,4.26\nFrance,FRA,1998,6.32\nFrance,FRA,1999,9.13\nFrance,FRA,2000,14.3079\nFrance,FRA,2001,26.3259\nFrance,FRA,2002,30.18\nFrance,FRA,2003,36.14\nFrance,FRA,2004,39.15\nFrance,FRA,2005,42.87\nFrance,FRA,2006,46.87\nFrance,FRA,2007,66.09\nFrance,FRA,2008,70.68\nFrance,FRA,2009,71.58\nFrance,FRA,2010,77.28\nFrance,FRA,2011,77.82\nFrance,FRA,2012,81.44\nFrance,FRA,2013,81.9198\nFrance,FRA,2014,83.7511\nFrance,FRA,2015,78.006\nFrance,FRA,2016,79.2698\nFrance,FRA,2017,80.5025\nFrance,FRA,2018,82.0432\nFrance,FRA,2019,83.3397\nFrance,FRA,2020,84.7064\nFrance,FRA,2021,86.0955\nFrance,FRA,2022,85.3333\nFrance,FRA,2023,86.8364\nFrance,FRA,2024,88.6538\n```\n\nAccording to this chart, what was share of the population using the internet in France in 2020?","response":"Reading the plotted point for 2020, share of the population using the internet in France was 84.71 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nFrance,FRA,1995,1.64\nFrance,FRA,1996,2.58\nFrance,FRA,1997,4.26\nFrance,FRA,1998,6.32\nFrance,FRA,1999,9.13\nFrance,FRA,2000,14.3079\nFrance,FRA,2001,26.3259\nFrance,FRA,2002,30.18\nFrance,FRA,2003,36.14\nFrance,FRA,2004,39.15\nFrance,FRA,2005,42.87\nFrance,FRA,2006,46.87\nFrance,FRA,2007,66.09\nFrance,FRA,2008,70.68\nFrance,FRA,2009,71.58\nFrance,FRA,2010,77.28\nFrance,FRA,2011,77.82\nFrance,FRA,2012,81.44\nFrance,FRA,2013,81.9198\nFrance,FRA,2014,83.7511\nFrance,FRA,2015,78.006\nFrance,FRA,2016,79.2698\nFrance,FRA,2017,80.5025\nFrance,FRA,2018,82.0432\nFrance,FRA,2019,83.3397\nFrance,FRA,2020,84.7064\nFrance,FRA,2021,86.0955\nFrance,FRA,2022,85.3333\nFrance,FRA,2023,86.8364\nFrance,FRA,2024,88.6538\n```\n\nIn which year shown does share of the population using the internet reach its highest value for France?","response":"The series peaks in 2024, at 88.65 %. The lowest point shown is 1995, at 1.64 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nFrance,FRA,1995,1.64\nFrance,FRA,1996,2.58\nFrance,FRA,1997,4.26\nFrance,FRA,1998,6.32\nFrance,FRA,1999,9.13\nFrance,FRA,2000,14.3079\nFrance,FRA,2001,26.3259\nFrance,FRA,2002,30.18\nFrance,FRA,2003,36.14\nFrance,FRA,2004,39.15\nFrance,FRA,2005,42.87\nFrance,FRA,2006,46.87\nFrance,FRA,2007,66.09\nFrance,FRA,2008,70.68\nFrance,FRA,2009,71.58\nFrance,FRA,2010,77.28\nFrance,FRA,2011,77.82\nFrance,FRA,2012,81.44\nFrance,FRA,2013,81.9198\nFrance,FRA,2014,83.7511\nFrance,FRA,2015,78.006\nFrance,FRA,2016,79.2698\nFrance,FRA,2017,80.5025\nFrance,FRA,2018,82.0432\nFrance,FRA,2019,83.3397\nFrance,FRA,2020,84.7064\nFrance,FRA,2021,86.0955\nFrance,FRA,2022,85.3333\nFrance,FRA,2023,86.8364\nFrance,FRA,2024,88.6538\n```\n\nHow much did share of the population using the internet change for France between 1995 and 2024?","response":"It moved from 1.64 % in 1995 to 88.65 % in 2024, a change of 87.01 % (+5305.72%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nFrance,FRA,1995,1.64\nFrance,FRA,1996,2.58\nFrance,FRA,1997,4.26\nFrance,FRA,1998,6.32\nFrance,FRA,1999,9.13\nFrance,FRA,2000,14.3079\nFrance,FRA,2001,26.3259\nFrance,FRA,2002,30.18\nFrance,FRA,2003,36.14\nFrance,FRA,2004,39.15\nFrance,FRA,2005,42.87\nFrance,FRA,2006,46.87\nFrance,FRA,2007,66.09\nFrance,FRA,2008,70.68\nFrance,FRA,2009,71.58\nFrance,FRA,2010,77.28\nFrance,FRA,2011,77.82\nFrance,FRA,2012,81.44\nFrance,FRA,2013,81.9198\nFrance,FRA,2014,83.7511\nFrance,FRA,2015,78.006\nFrance,FRA,2016,79.2698\nFrance,FRA,2017,80.5025\nFrance,FRA,2018,82.0432\nFrance,FRA,2019,83.3397\nFrance,FRA,2020,84.7064\nFrance,FRA,2021,86.0955\nFrance,FRA,2022,85.3333\nFrance,FRA,2023,86.8364\nFrance,FRA,2024,88.6538\n```\n\nWas share of the population using the internet in France higher in 1997 or 2023?","response":"Higher in 2023. The chart gives 4.26 % for 1997 and 86.84 % for 2023, a difference of 82.58 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nFrance,FRA,1995,1.64\nFrance,FRA,1996,2.58\nFrance,FRA,1997,4.26\nFrance,FRA,1998,6.32\nFrance,FRA,1999,9.13\nFrance,FRA,2000,14.3079\nFrance,FRA,2001,26.3259\nFrance,FRA,2002,30.18\nFrance,FRA,2003,36.14\nFrance,FRA,2004,39.15\nFrance,FRA,2005,42.87\nFrance,FRA,2006,46.87\nFrance,FRA,2007,66.09\nFrance,FRA,2008,70.68\nFrance,FRA,2009,71.58\nFrance,FRA,2010,77.28\nFrance,FRA,2011,77.82\nFrance,FRA,2012,81.44\nFrance,FRA,2013,81.9198\nFrance,FRA,2014,83.7511\nFrance,FRA,2015,78.006\nFrance,FRA,2016,79.2698\nFrance,FRA,2017,80.5025\nFrance,FRA,2018,82.0432\nFrance,FRA,2019,83.3397\nFrance,FRA,2020,84.7064\nFrance,FRA,2021,86.0955\nFrance,FRA,2022,85.3333\nFrance,FRA,2023,86.8364\nFrance,FRA,2024,88.6538\n```\n\nThis chart makes the change in share of the population using the internet for France look dramatic. Is it?","response":"The values change by +5305.72%, from 1.64 % to 88.65 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Share of the population using the Internet\nFrance,FRA,1995,1.64\nFrance,FRA,1996,2.58\nFrance,FRA,1997,4.26\nFrance,FRA,1998,6.32\nFrance,FRA,1999,9.13\nFrance,FRA,2000,14.3079\nFrance,FRA,2001,26.3259\nFrance,FRA,2002,30.18\nFrance,FRA,2003,36.14\nFrance,FRA,2004,39.15\nFrance,FRA,2005,42.87\nFrance,FRA,2006,46.87\nFrance,FRA,2007,66.09\nFrance,FRA,2008,70.68\nFrance,FRA,2009,71.58\nFrance,FRA,2010,77.28\nFrance,FRA,2011,77.82\nFrance,FRA,2012,81.44\nFrance,FRA,2013,81.9198\nFrance,FRA,2014,83.7511\nFrance,FRA,2015,78.006\nFrance,FRA,2016,79.2698\nFrance,FRA,2017,80.5025\nFrance,FRA,2018,82.0432\nFrance,FRA,2019,83.3397\nFrance,FRA,2020,84.7064\nFrance,FRA,2021,86.0955\nFrance,FRA,2022,85.3333\nFrance,FRA,2023,86.8364\nFrance,FRA,2024,88.6538\n```\n\nWhat was share of the population using the internet for France in 1980?","response":"That year is outside this chart. The series runs 1995 to 2024, and 1980 falls before it begins, so there is no value to read. The earliest point available is 1995, at 1.64 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-individuals-using-the-internet__France__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of the population using the Internet","source_citation":"World Telecommunication\/ICT Indicators Database - International Telecommunication Union (ITU), via World Bank (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-individuals-using-the-internet?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nFrance,FRA,2001,2.5\nFrance,FRA,2002,2.5\nFrance,FRA,2003,2.5\nFrance,FRA,2004,2.5\nFrance,FRA,2005,2.5\nFrance,FRA,2006,2.5\nFrance,FRA,2007,2.5\nFrance,FRA,2008,2.5\nFrance,FRA,2009,2.5\nFrance,FRA,2010,2.5\nFrance,FRA,2011,2.5\nFrance,FRA,2012,2.5\nFrance,FRA,2013,2.5\nFrance,FRA,2014,2.5\nFrance,FRA,2015,2.5\nFrance,FRA,2016,2.5\nFrance,FRA,2017,2.5\nFrance,FRA,2018,2.5\nFrance,FRA,2019,2.5\nFrance,FRA,2020,2.5\nFrance,FRA,2021,2.5\nFrance,FRA,2022,2.5\nFrance,FRA,2023,2.5\n```\n\nAccording to this chart, what was 2.1.1 prevalence of undernourishment - value (percent) in France in 2020?","response":"Reading the plotted point for 2020, 2.1.1 prevalence of undernourishment - value (percent) in France was 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nFrance,FRA,2001,2.5\nFrance,FRA,2002,2.5\nFrance,FRA,2003,2.5\nFrance,FRA,2004,2.5\nFrance,FRA,2005,2.5\nFrance,FRA,2006,2.5\nFrance,FRA,2007,2.5\nFrance,FRA,2008,2.5\nFrance,FRA,2009,2.5\nFrance,FRA,2010,2.5\nFrance,FRA,2011,2.5\nFrance,FRA,2012,2.5\nFrance,FRA,2013,2.5\nFrance,FRA,2014,2.5\nFrance,FRA,2015,2.5\nFrance,FRA,2016,2.5\nFrance,FRA,2017,2.5\nFrance,FRA,2018,2.5\nFrance,FRA,2019,2.5\nFrance,FRA,2020,2.5\nFrance,FRA,2021,2.5\nFrance,FRA,2022,2.5\nFrance,FRA,2023,2.5\n```\n\nIn which year shown does 2.1.1 prevalence of undernourishment - value (percent) reach its highest value for France?","response":"The series peaks in 2001, at 2.5 %. The lowest point shown is 2001, at 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nFrance,FRA,2001,2.5\nFrance,FRA,2002,2.5\nFrance,FRA,2003,2.5\nFrance,FRA,2004,2.5\nFrance,FRA,2005,2.5\nFrance,FRA,2006,2.5\nFrance,FRA,2007,2.5\nFrance,FRA,2008,2.5\nFrance,FRA,2009,2.5\nFrance,FRA,2010,2.5\nFrance,FRA,2011,2.5\nFrance,FRA,2012,2.5\nFrance,FRA,2013,2.5\nFrance,FRA,2014,2.5\nFrance,FRA,2015,2.5\nFrance,FRA,2016,2.5\nFrance,FRA,2017,2.5\nFrance,FRA,2018,2.5\nFrance,FRA,2019,2.5\nFrance,FRA,2020,2.5\nFrance,FRA,2021,2.5\nFrance,FRA,2022,2.5\nFrance,FRA,2023,2.5\n```\n\nHow much did 2.1.1 prevalence of undernourishment - value (percent) change for France between 2001 and 2023?","response":"It moved from 2.5 % in 2001 to 2.5 % in 2023, a change of 0 % (+0.00%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nFrance,FRA,2001,2.5\nFrance,FRA,2002,2.5\nFrance,FRA,2003,2.5\nFrance,FRA,2004,2.5\nFrance,FRA,2005,2.5\nFrance,FRA,2006,2.5\nFrance,FRA,2007,2.5\nFrance,FRA,2008,2.5\nFrance,FRA,2009,2.5\nFrance,FRA,2010,2.5\nFrance,FRA,2011,2.5\nFrance,FRA,2012,2.5\nFrance,FRA,2013,2.5\nFrance,FRA,2014,2.5\nFrance,FRA,2015,2.5\nFrance,FRA,2016,2.5\nFrance,FRA,2017,2.5\nFrance,FRA,2018,2.5\nFrance,FRA,2019,2.5\nFrance,FRA,2020,2.5\nFrance,FRA,2021,2.5\nFrance,FRA,2022,2.5\nFrance,FRA,2023,2.5\n```\n\nWas 2.1.1 prevalence of undernourishment - value (percent) in France higher in 2006 or 2015?","response":"Higher in 2015. The chart gives 2.5 % for 2006 and 2.5 % for 2015, a difference of 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nFrance,FRA,2001,2.5\nFrance,FRA,2002,2.5\nFrance,FRA,2003,2.5\nFrance,FRA,2004,2.5\nFrance,FRA,2005,2.5\nFrance,FRA,2006,2.5\nFrance,FRA,2007,2.5\nFrance,FRA,2008,2.5\nFrance,FRA,2009,2.5\nFrance,FRA,2010,2.5\nFrance,FRA,2011,2.5\nFrance,FRA,2012,2.5\nFrance,FRA,2013,2.5\nFrance,FRA,2014,2.5\nFrance,FRA,2015,2.5\nFrance,FRA,2016,2.5\nFrance,FRA,2017,2.5\nFrance,FRA,2018,2.5\nFrance,FRA,2019,2.5\nFrance,FRA,2020,2.5\nFrance,FRA,2021,2.5\nFrance,FRA,2022,2.5\nFrance,FRA,2023,2.5\n```\n\nAccording to this chart, what was 2.1.1 prevalence of undernourishment - value (percent) in France in 2020?","response":"Reading the plotted point for 2020, 2.1.1 prevalence of undernourishment - value (percent) in France was 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nFrance,FRA,2001,2.5\nFrance,FRA,2002,2.5\nFrance,FRA,2003,2.5\nFrance,FRA,2004,2.5\nFrance,FRA,2005,2.5\nFrance,FRA,2006,2.5\nFrance,FRA,2007,2.5\nFrance,FRA,2008,2.5\nFrance,FRA,2009,2.5\nFrance,FRA,2010,2.5\nFrance,FRA,2011,2.5\nFrance,FRA,2012,2.5\nFrance,FRA,2013,2.5\nFrance,FRA,2014,2.5\nFrance,FRA,2015,2.5\nFrance,FRA,2016,2.5\nFrance,FRA,2017,2.5\nFrance,FRA,2018,2.5\nFrance,FRA,2019,2.5\nFrance,FRA,2020,2.5\nFrance,FRA,2021,2.5\nFrance,FRA,2022,2.5\nFrance,FRA,2023,2.5\n```\n\nIn which year shown does 2.1.1 prevalence of undernourishment - value (percent) reach its highest value for France?","response":"The series peaks in 2001, at 2.5 %. The lowest point shown is 2001, at 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nFrance,FRA,2001,2.5\nFrance,FRA,2002,2.5\nFrance,FRA,2003,2.5\nFrance,FRA,2004,2.5\nFrance,FRA,2005,2.5\nFrance,FRA,2006,2.5\nFrance,FRA,2007,2.5\nFrance,FRA,2008,2.5\nFrance,FRA,2009,2.5\nFrance,FRA,2010,2.5\nFrance,FRA,2011,2.5\nFrance,FRA,2012,2.5\nFrance,FRA,2013,2.5\nFrance,FRA,2014,2.5\nFrance,FRA,2015,2.5\nFrance,FRA,2016,2.5\nFrance,FRA,2017,2.5\nFrance,FRA,2018,2.5\nFrance,FRA,2019,2.5\nFrance,FRA,2020,2.5\nFrance,FRA,2021,2.5\nFrance,FRA,2022,2.5\nFrance,FRA,2023,2.5\n```\n\nHow much did 2.1.1 prevalence of undernourishment - value (percent) change for France between 2001 and 2023?","response":"It moved from 2.5 % in 2001 to 2.5 % in 2023, a change of 0 % (+0.00%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nFrance,FRA,2001,2.5\nFrance,FRA,2002,2.5\nFrance,FRA,2003,2.5\nFrance,FRA,2004,2.5\nFrance,FRA,2005,2.5\nFrance,FRA,2006,2.5\nFrance,FRA,2007,2.5\nFrance,FRA,2008,2.5\nFrance,FRA,2009,2.5\nFrance,FRA,2010,2.5\nFrance,FRA,2011,2.5\nFrance,FRA,2012,2.5\nFrance,FRA,2013,2.5\nFrance,FRA,2014,2.5\nFrance,FRA,2015,2.5\nFrance,FRA,2016,2.5\nFrance,FRA,2017,2.5\nFrance,FRA,2018,2.5\nFrance,FRA,2019,2.5\nFrance,FRA,2020,2.5\nFrance,FRA,2021,2.5\nFrance,FRA,2022,2.5\nFrance,FRA,2023,2.5\n```\n\nWas 2.1.1 prevalence of undernourishment - value (percent) in France higher in 2006 or 2015?","response":"Higher in 2015. The chart gives 2.5 % for 2006 and 2.5 % for 2015, a difference of 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nFrance,FRA,2001,2.5\nFrance,FRA,2002,2.5\nFrance,FRA,2003,2.5\nFrance,FRA,2004,2.5\nFrance,FRA,2005,2.5\nFrance,FRA,2006,2.5\nFrance,FRA,2007,2.5\nFrance,FRA,2008,2.5\nFrance,FRA,2009,2.5\nFrance,FRA,2010,2.5\nFrance,FRA,2011,2.5\nFrance,FRA,2012,2.5\nFrance,FRA,2013,2.5\nFrance,FRA,2014,2.5\nFrance,FRA,2015,2.5\nFrance,FRA,2016,2.5\nFrance,FRA,2017,2.5\nFrance,FRA,2018,2.5\nFrance,FRA,2019,2.5\nFrance,FRA,2020,2.5\nFrance,FRA,2021,2.5\nFrance,FRA,2022,2.5\nFrance,FRA,2023,2.5\n```\n\nBased on this chart, is 2.1.1 prevalence of undernourishment - value (percent) in France rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2.5 % to 2.5 %, a change of +0.00%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nFrance,FRA,2001,2.5\nFrance,FRA,2002,2.5\nFrance,FRA,2003,2.5\nFrance,FRA,2004,2.5\nFrance,FRA,2005,2.5\nFrance,FRA,2006,2.5\nFrance,FRA,2007,2.5\nFrance,FRA,2008,2.5\nFrance,FRA,2009,2.5\nFrance,FRA,2010,2.5\nFrance,FRA,2011,2.5\nFrance,FRA,2012,2.5\nFrance,FRA,2013,2.5\nFrance,FRA,2014,2.5\nFrance,FRA,2015,2.5\nFrance,FRA,2016,2.5\nFrance,FRA,2017,2.5\nFrance,FRA,2018,2.5\nFrance,FRA,2019,2.5\nFrance,FRA,2020,2.5\nFrance,FRA,2021,2.5\nFrance,FRA,2022,2.5\nFrance,FRA,2023,2.5\n```\n\nThis chart makes the change in 2.1.1 prevalence of undernourishment - value (percent) for France look dramatic. Is it?","response":"The values change by +0.00%, from 2.5 % to 2.5 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nFrance,FRA,2001,2.5\nFrance,FRA,2002,2.5\nFrance,FRA,2003,2.5\nFrance,FRA,2004,2.5\nFrance,FRA,2005,2.5\nFrance,FRA,2006,2.5\nFrance,FRA,2007,2.5\nFrance,FRA,2008,2.5\nFrance,FRA,2009,2.5\nFrance,FRA,2010,2.5\nFrance,FRA,2011,2.5\nFrance,FRA,2012,2.5\nFrance,FRA,2013,2.5\nFrance,FRA,2014,2.5\nFrance,FRA,2015,2.5\nFrance,FRA,2016,2.5\nFrance,FRA,2017,2.5\nFrance,FRA,2018,2.5\nFrance,FRA,2019,2.5\nFrance,FRA,2020,2.5\nFrance,FRA,2021,2.5\nFrance,FRA,2022,2.5\nFrance,FRA,2023,2.5\n```\n\nWhat was 2.1.1 prevalence of undernourishment - value (percent) for France in 1986?","response":"That year is outside this chart. The series runs 2001 to 2023, and 1986 falls before it begins, so there is no value to read. The earliest point available is 2001, at 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__France__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nCanada,CAN,2001,2.5\nCanada,CAN,2002,2.5\nCanada,CAN,2003,2.5\nCanada,CAN,2004,2.5\nCanada,CAN,2005,2.5\nCanada,CAN,2006,2.5\nCanada,CAN,2007,2.5\nCanada,CAN,2008,2.5\nCanada,CAN,2009,2.5\nCanada,CAN,2010,2.5\nCanada,CAN,2011,2.5\nCanada,CAN,2012,2.5\nCanada,CAN,2013,2.5\nCanada,CAN,2014,2.5\nCanada,CAN,2015,2.5\nCanada,CAN,2016,2.5\nCanada,CAN,2017,2.5\nCanada,CAN,2018,2.5\nCanada,CAN,2019,2.5\nCanada,CAN,2020,2.5\nCanada,CAN,2021,2.5\nCanada,CAN,2022,2.5\nCanada,CAN,2023,2.5\n```\n\nAccording to this chart, what was 2.1.1 prevalence of undernourishment - value (percent) in Canada in 2015?","response":"Reading the plotted point for 2015, 2.1.1 prevalence of undernourishment - value (percent) in Canada was 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nCanada,CAN,2001,2.5\nCanada,CAN,2002,2.5\nCanada,CAN,2003,2.5\nCanada,CAN,2004,2.5\nCanada,CAN,2005,2.5\nCanada,CAN,2006,2.5\nCanada,CAN,2007,2.5\nCanada,CAN,2008,2.5\nCanada,CAN,2009,2.5\nCanada,CAN,2010,2.5\nCanada,CAN,2011,2.5\nCanada,CAN,2012,2.5\nCanada,CAN,2013,2.5\nCanada,CAN,2014,2.5\nCanada,CAN,2015,2.5\nCanada,CAN,2016,2.5\nCanada,CAN,2017,2.5\nCanada,CAN,2018,2.5\nCanada,CAN,2019,2.5\nCanada,CAN,2020,2.5\nCanada,CAN,2021,2.5\nCanada,CAN,2022,2.5\nCanada,CAN,2023,2.5\n```\n\nIn which year shown does 2.1.1 prevalence of undernourishment - value (percent) reach its highest value for Canada?","response":"The series peaks in 2001, at 2.5 %. The lowest point shown is 2001, at 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nCanada,CAN,2001,2.5\nCanada,CAN,2002,2.5\nCanada,CAN,2003,2.5\nCanada,CAN,2004,2.5\nCanada,CAN,2005,2.5\nCanada,CAN,2006,2.5\nCanada,CAN,2007,2.5\nCanada,CAN,2008,2.5\nCanada,CAN,2009,2.5\nCanada,CAN,2010,2.5\nCanada,CAN,2011,2.5\nCanada,CAN,2012,2.5\nCanada,CAN,2013,2.5\nCanada,CAN,2014,2.5\nCanada,CAN,2015,2.5\nCanada,CAN,2016,2.5\nCanada,CAN,2017,2.5\nCanada,CAN,2018,2.5\nCanada,CAN,2019,2.5\nCanada,CAN,2020,2.5\nCanada,CAN,2021,2.5\nCanada,CAN,2022,2.5\nCanada,CAN,2023,2.5\n```\n\nHow much did 2.1.1 prevalence of undernourishment - value (percent) change for Canada between 2001 and 2023?","response":"It moved from 2.5 % in 2001 to 2.5 % in 2023, a change of 0 % (+0.00%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nCanada,CAN,2001,2.5\nCanada,CAN,2002,2.5\nCanada,CAN,2003,2.5\nCanada,CAN,2004,2.5\nCanada,CAN,2005,2.5\nCanada,CAN,2006,2.5\nCanada,CAN,2007,2.5\nCanada,CAN,2008,2.5\nCanada,CAN,2009,2.5\nCanada,CAN,2010,2.5\nCanada,CAN,2011,2.5\nCanada,CAN,2012,2.5\nCanada,CAN,2013,2.5\nCanada,CAN,2014,2.5\nCanada,CAN,2015,2.5\nCanada,CAN,2016,2.5\nCanada,CAN,2017,2.5\nCanada,CAN,2018,2.5\nCanada,CAN,2019,2.5\nCanada,CAN,2020,2.5\nCanada,CAN,2021,2.5\nCanada,CAN,2022,2.5\nCanada,CAN,2023,2.5\n```\n\nWas 2.1.1 prevalence of undernourishment - value (percent) in Canada higher in 2004 or 2016?","response":"Higher in 2016. The chart gives 2.5 % for 2004 and 2.5 % for 2016, a difference of 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nCanada,CAN,2001,2.5\nCanada,CAN,2002,2.5\nCanada,CAN,2003,2.5\nCanada,CAN,2004,2.5\nCanada,CAN,2005,2.5\nCanada,CAN,2006,2.5\nCanada,CAN,2007,2.5\nCanada,CAN,2008,2.5\nCanada,CAN,2009,2.5\nCanada,CAN,2010,2.5\nCanada,CAN,2011,2.5\nCanada,CAN,2012,2.5\nCanada,CAN,2013,2.5\nCanada,CAN,2014,2.5\nCanada,CAN,2015,2.5\nCanada,CAN,2016,2.5\nCanada,CAN,2017,2.5\nCanada,CAN,2018,2.5\nCanada,CAN,2019,2.5\nCanada,CAN,2020,2.5\nCanada,CAN,2021,2.5\nCanada,CAN,2022,2.5\nCanada,CAN,2023,2.5\n```\n\nAccording to this chart, what was 2.1.1 prevalence of undernourishment - value (percent) in Canada in 2015?","response":"Reading the plotted point for 2015, 2.1.1 prevalence of undernourishment - value (percent) in Canada was 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nCanada,CAN,2001,2.5\nCanada,CAN,2002,2.5\nCanada,CAN,2003,2.5\nCanada,CAN,2004,2.5\nCanada,CAN,2005,2.5\nCanada,CAN,2006,2.5\nCanada,CAN,2007,2.5\nCanada,CAN,2008,2.5\nCanada,CAN,2009,2.5\nCanada,CAN,2010,2.5\nCanada,CAN,2011,2.5\nCanada,CAN,2012,2.5\nCanada,CAN,2013,2.5\nCanada,CAN,2014,2.5\nCanada,CAN,2015,2.5\nCanada,CAN,2016,2.5\nCanada,CAN,2017,2.5\nCanada,CAN,2018,2.5\nCanada,CAN,2019,2.5\nCanada,CAN,2020,2.5\nCanada,CAN,2021,2.5\nCanada,CAN,2022,2.5\nCanada,CAN,2023,2.5\n```\n\nIn which year shown does 2.1.1 prevalence of undernourishment - value (percent) reach its highest value for Canada?","response":"The series peaks in 2001, at 2.5 %. The lowest point shown is 2001, at 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nCanada,CAN,2001,2.5\nCanada,CAN,2002,2.5\nCanada,CAN,2003,2.5\nCanada,CAN,2004,2.5\nCanada,CAN,2005,2.5\nCanada,CAN,2006,2.5\nCanada,CAN,2007,2.5\nCanada,CAN,2008,2.5\nCanada,CAN,2009,2.5\nCanada,CAN,2010,2.5\nCanada,CAN,2011,2.5\nCanada,CAN,2012,2.5\nCanada,CAN,2013,2.5\nCanada,CAN,2014,2.5\nCanada,CAN,2015,2.5\nCanada,CAN,2016,2.5\nCanada,CAN,2017,2.5\nCanada,CAN,2018,2.5\nCanada,CAN,2019,2.5\nCanada,CAN,2020,2.5\nCanada,CAN,2021,2.5\nCanada,CAN,2022,2.5\nCanada,CAN,2023,2.5\n```\n\nHow much did 2.1.1 prevalence of undernourishment - value (percent) change for Canada between 2001 and 2023?","response":"It moved from 2.5 % in 2001 to 2.5 % in 2023, a change of 0 % (+0.00%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nCanada,CAN,2001,2.5\nCanada,CAN,2002,2.5\nCanada,CAN,2003,2.5\nCanada,CAN,2004,2.5\nCanada,CAN,2005,2.5\nCanada,CAN,2006,2.5\nCanada,CAN,2007,2.5\nCanada,CAN,2008,2.5\nCanada,CAN,2009,2.5\nCanada,CAN,2010,2.5\nCanada,CAN,2011,2.5\nCanada,CAN,2012,2.5\nCanada,CAN,2013,2.5\nCanada,CAN,2014,2.5\nCanada,CAN,2015,2.5\nCanada,CAN,2016,2.5\nCanada,CAN,2017,2.5\nCanada,CAN,2018,2.5\nCanada,CAN,2019,2.5\nCanada,CAN,2020,2.5\nCanada,CAN,2021,2.5\nCanada,CAN,2022,2.5\nCanada,CAN,2023,2.5\n```\n\nWas 2.1.1 prevalence of undernourishment - value (percent) in Canada higher in 2004 or 2016?","response":"Higher in 2016. The chart gives 2.5 % for 2004 and 2.5 % for 2016, a difference of 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nCanada,CAN,2001,2.5\nCanada,CAN,2002,2.5\nCanada,CAN,2003,2.5\nCanada,CAN,2004,2.5\nCanada,CAN,2005,2.5\nCanada,CAN,2006,2.5\nCanada,CAN,2007,2.5\nCanada,CAN,2008,2.5\nCanada,CAN,2009,2.5\nCanada,CAN,2010,2.5\nCanada,CAN,2011,2.5\nCanada,CAN,2012,2.5\nCanada,CAN,2013,2.5\nCanada,CAN,2014,2.5\nCanada,CAN,2015,2.5\nCanada,CAN,2016,2.5\nCanada,CAN,2017,2.5\nCanada,CAN,2018,2.5\nCanada,CAN,2019,2.5\nCanada,CAN,2020,2.5\nCanada,CAN,2021,2.5\nCanada,CAN,2022,2.5\nCanada,CAN,2023,2.5\n```\n\nThis chart appears to show 2.1.1 prevalence of undernourishment - value (percent) in Canada rising steeply. How large is the increase actually?","response":"The plotted values run from 2.5 % to 2.5 %, so the actual change is +0.00%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 2.05 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nCanada,CAN,2001,2.5\nCanada,CAN,2002,2.5\nCanada,CAN,2003,2.5\nCanada,CAN,2004,2.5\nCanada,CAN,2005,2.5\nCanada,CAN,2006,2.5\nCanada,CAN,2007,2.5\nCanada,CAN,2008,2.5\nCanada,CAN,2009,2.5\nCanada,CAN,2010,2.5\nCanada,CAN,2011,2.5\nCanada,CAN,2012,2.5\nCanada,CAN,2013,2.5\nCanada,CAN,2014,2.5\nCanada,CAN,2015,2.5\nCanada,CAN,2016,2.5\nCanada,CAN,2017,2.5\nCanada,CAN,2018,2.5\nCanada,CAN,2019,2.5\nCanada,CAN,2020,2.5\nCanada,CAN,2021,2.5\nCanada,CAN,2022,2.5\nCanada,CAN,2023,2.5\n```\n\nBased on this chart, is 2.1.1 prevalence of undernourishment - value (percent) in Canada rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2.5 % to 2.5 %, a change of +0.00%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nCanada,CAN,2001,2.5\nCanada,CAN,2002,2.5\nCanada,CAN,2003,2.5\nCanada,CAN,2004,2.5\nCanada,CAN,2005,2.5\nCanada,CAN,2006,2.5\nCanada,CAN,2007,2.5\nCanada,CAN,2008,2.5\nCanada,CAN,2009,2.5\nCanada,CAN,2010,2.5\nCanada,CAN,2011,2.5\nCanada,CAN,2012,2.5\nCanada,CAN,2013,2.5\nCanada,CAN,2014,2.5\nCanada,CAN,2015,2.5\nCanada,CAN,2016,2.5\nCanada,CAN,2017,2.5\nCanada,CAN,2018,2.5\nCanada,CAN,2019,2.5\nCanada,CAN,2020,2.5\nCanada,CAN,2021,2.5\nCanada,CAN,2022,2.5\nCanada,CAN,2023,2.5\n```\n\nHow does Canada compare with Poland on this measure?","response":"This chart covers Canada only, so Poland is not plotted and I cannot compare them from it. The chart does support statements about Canada on its own: the series runs from 2.5 % in 2001 to 2.5 % in 2023.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Canada__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nUnited Kingdom,GBR,2001,2.5\nUnited Kingdom,GBR,2002,2.5\nUnited Kingdom,GBR,2003,2.5\nUnited Kingdom,GBR,2004,2.5\nUnited Kingdom,GBR,2005,2.5\nUnited Kingdom,GBR,2006,2.5\nUnited Kingdom,GBR,2007,2.5\nUnited Kingdom,GBR,2008,2.5\nUnited Kingdom,GBR,2009,2.5\nUnited Kingdom,GBR,2010,2.5\nUnited Kingdom,GBR,2011,2.5\nUnited Kingdom,GBR,2012,2.5\nUnited Kingdom,GBR,2013,2.5\nUnited Kingdom,GBR,2014,2.5\nUnited Kingdom,GBR,2015,2.5\nUnited Kingdom,GBR,2016,2.5\nUnited Kingdom,GBR,2017,2.5\nUnited Kingdom,GBR,2018,2.5\nUnited Kingdom,GBR,2019,2.5\nUnited Kingdom,GBR,2020,2.5\nUnited Kingdom,GBR,2021,2.5\nUnited Kingdom,GBR,2022,2.5\nUnited Kingdom,GBR,2023,2.5\n```\n\nAccording to this chart, what was 2.1.1 prevalence of undernourishment - value (percent) in United Kingdom in 2001?","response":"Reading the plotted point for 2001, 2.1.1 prevalence of undernourishment - value (percent) in United Kingdom was 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nUnited Kingdom,GBR,2001,2.5\nUnited Kingdom,GBR,2002,2.5\nUnited Kingdom,GBR,2003,2.5\nUnited Kingdom,GBR,2004,2.5\nUnited Kingdom,GBR,2005,2.5\nUnited Kingdom,GBR,2006,2.5\nUnited Kingdom,GBR,2007,2.5\nUnited Kingdom,GBR,2008,2.5\nUnited Kingdom,GBR,2009,2.5\nUnited Kingdom,GBR,2010,2.5\nUnited Kingdom,GBR,2011,2.5\nUnited Kingdom,GBR,2012,2.5\nUnited Kingdom,GBR,2013,2.5\nUnited Kingdom,GBR,2014,2.5\nUnited Kingdom,GBR,2015,2.5\nUnited Kingdom,GBR,2016,2.5\nUnited Kingdom,GBR,2017,2.5\nUnited Kingdom,GBR,2018,2.5\nUnited Kingdom,GBR,2019,2.5\nUnited Kingdom,GBR,2020,2.5\nUnited Kingdom,GBR,2021,2.5\nUnited Kingdom,GBR,2022,2.5\nUnited Kingdom,GBR,2023,2.5\n```\n\nIn which year shown does 2.1.1 prevalence of undernourishment - value (percent) reach its highest value for United Kingdom?","response":"The series peaks in 2001, at 2.5 %. The lowest point shown is 2001, at 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nUnited Kingdom,GBR,2001,2.5\nUnited Kingdom,GBR,2002,2.5\nUnited Kingdom,GBR,2003,2.5\nUnited Kingdom,GBR,2004,2.5\nUnited Kingdom,GBR,2005,2.5\nUnited Kingdom,GBR,2006,2.5\nUnited Kingdom,GBR,2007,2.5\nUnited Kingdom,GBR,2008,2.5\nUnited Kingdom,GBR,2009,2.5\nUnited Kingdom,GBR,2010,2.5\nUnited Kingdom,GBR,2011,2.5\nUnited Kingdom,GBR,2012,2.5\nUnited Kingdom,GBR,2013,2.5\nUnited Kingdom,GBR,2014,2.5\nUnited Kingdom,GBR,2015,2.5\nUnited Kingdom,GBR,2016,2.5\nUnited Kingdom,GBR,2017,2.5\nUnited Kingdom,GBR,2018,2.5\nUnited Kingdom,GBR,2019,2.5\nUnited Kingdom,GBR,2020,2.5\nUnited Kingdom,GBR,2021,2.5\nUnited Kingdom,GBR,2022,2.5\nUnited Kingdom,GBR,2023,2.5\n```\n\nHow much did 2.1.1 prevalence of undernourishment - value (percent) change for United Kingdom between 2001 and 2023?","response":"It moved from 2.5 % in 2001 to 2.5 % in 2023, a change of 0 % (+0.00%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nUnited Kingdom,GBR,2001,2.5\nUnited Kingdom,GBR,2002,2.5\nUnited Kingdom,GBR,2003,2.5\nUnited Kingdom,GBR,2004,2.5\nUnited Kingdom,GBR,2005,2.5\nUnited Kingdom,GBR,2006,2.5\nUnited Kingdom,GBR,2007,2.5\nUnited Kingdom,GBR,2008,2.5\nUnited Kingdom,GBR,2009,2.5\nUnited Kingdom,GBR,2010,2.5\nUnited Kingdom,GBR,2011,2.5\nUnited Kingdom,GBR,2012,2.5\nUnited Kingdom,GBR,2013,2.5\nUnited Kingdom,GBR,2014,2.5\nUnited Kingdom,GBR,2015,2.5\nUnited Kingdom,GBR,2016,2.5\nUnited Kingdom,GBR,2017,2.5\nUnited Kingdom,GBR,2018,2.5\nUnited Kingdom,GBR,2019,2.5\nUnited Kingdom,GBR,2020,2.5\nUnited Kingdom,GBR,2021,2.5\nUnited Kingdom,GBR,2022,2.5\nUnited Kingdom,GBR,2023,2.5\n```\n\nWas 2.1.1 prevalence of undernourishment - value (percent) in United Kingdom higher in 2004 or 2017?","response":"Higher in 2017. The chart gives 2.5 % for 2004 and 2.5 % for 2017, a difference of 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nUnited Kingdom,GBR,2001,2.5\nUnited Kingdom,GBR,2002,2.5\nUnited Kingdom,GBR,2003,2.5\nUnited Kingdom,GBR,2004,2.5\nUnited Kingdom,GBR,2005,2.5\nUnited Kingdom,GBR,2006,2.5\nUnited Kingdom,GBR,2007,2.5\nUnited Kingdom,GBR,2008,2.5\nUnited Kingdom,GBR,2009,2.5\nUnited Kingdom,GBR,2010,2.5\nUnited Kingdom,GBR,2011,2.5\nUnited Kingdom,GBR,2012,2.5\nUnited Kingdom,GBR,2013,2.5\nUnited Kingdom,GBR,2014,2.5\nUnited Kingdom,GBR,2015,2.5\nUnited Kingdom,GBR,2016,2.5\nUnited Kingdom,GBR,2017,2.5\nUnited Kingdom,GBR,2018,2.5\nUnited Kingdom,GBR,2019,2.5\nUnited Kingdom,GBR,2020,2.5\nUnited Kingdom,GBR,2021,2.5\nUnited Kingdom,GBR,2022,2.5\nUnited Kingdom,GBR,2023,2.5\n```\n\nAccording to this chart, what was 2.1.1 prevalence of undernourishment - value (percent) in United Kingdom in 2001?","response":"Reading the plotted point for 2001, 2.1.1 prevalence of undernourishment - value (percent) in United Kingdom was 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nUnited Kingdom,GBR,2001,2.5\nUnited Kingdom,GBR,2002,2.5\nUnited Kingdom,GBR,2003,2.5\nUnited Kingdom,GBR,2004,2.5\nUnited Kingdom,GBR,2005,2.5\nUnited Kingdom,GBR,2006,2.5\nUnited Kingdom,GBR,2007,2.5\nUnited Kingdom,GBR,2008,2.5\nUnited Kingdom,GBR,2009,2.5\nUnited Kingdom,GBR,2010,2.5\nUnited Kingdom,GBR,2011,2.5\nUnited Kingdom,GBR,2012,2.5\nUnited Kingdom,GBR,2013,2.5\nUnited Kingdom,GBR,2014,2.5\nUnited Kingdom,GBR,2015,2.5\nUnited Kingdom,GBR,2016,2.5\nUnited Kingdom,GBR,2017,2.5\nUnited Kingdom,GBR,2018,2.5\nUnited Kingdom,GBR,2019,2.5\nUnited Kingdom,GBR,2020,2.5\nUnited Kingdom,GBR,2021,2.5\nUnited Kingdom,GBR,2022,2.5\nUnited Kingdom,GBR,2023,2.5\n```\n\nIn which year shown does 2.1.1 prevalence of undernourishment - value (percent) reach its highest value for United Kingdom?","response":"The series peaks in 2001, at 2.5 %. The lowest point shown is 2001, at 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nUnited Kingdom,GBR,2001,2.5\nUnited Kingdom,GBR,2002,2.5\nUnited Kingdom,GBR,2003,2.5\nUnited Kingdom,GBR,2004,2.5\nUnited Kingdom,GBR,2005,2.5\nUnited Kingdom,GBR,2006,2.5\nUnited Kingdom,GBR,2007,2.5\nUnited Kingdom,GBR,2008,2.5\nUnited Kingdom,GBR,2009,2.5\nUnited Kingdom,GBR,2010,2.5\nUnited Kingdom,GBR,2011,2.5\nUnited Kingdom,GBR,2012,2.5\nUnited Kingdom,GBR,2013,2.5\nUnited Kingdom,GBR,2014,2.5\nUnited Kingdom,GBR,2015,2.5\nUnited Kingdom,GBR,2016,2.5\nUnited Kingdom,GBR,2017,2.5\nUnited Kingdom,GBR,2018,2.5\nUnited Kingdom,GBR,2019,2.5\nUnited Kingdom,GBR,2020,2.5\nUnited Kingdom,GBR,2021,2.5\nUnited Kingdom,GBR,2022,2.5\nUnited Kingdom,GBR,2023,2.5\n```\n\nHow much did 2.1.1 prevalence of undernourishment - value (percent) change for United Kingdom between 2001 and 2023?","response":"It moved from 2.5 % in 2001 to 2.5 % in 2023, a change of 0 % (+0.00%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nUnited Kingdom,GBR,2001,2.5\nUnited Kingdom,GBR,2002,2.5\nUnited Kingdom,GBR,2003,2.5\nUnited Kingdom,GBR,2004,2.5\nUnited Kingdom,GBR,2005,2.5\nUnited Kingdom,GBR,2006,2.5\nUnited Kingdom,GBR,2007,2.5\nUnited Kingdom,GBR,2008,2.5\nUnited Kingdom,GBR,2009,2.5\nUnited Kingdom,GBR,2010,2.5\nUnited Kingdom,GBR,2011,2.5\nUnited Kingdom,GBR,2012,2.5\nUnited Kingdom,GBR,2013,2.5\nUnited Kingdom,GBR,2014,2.5\nUnited Kingdom,GBR,2015,2.5\nUnited Kingdom,GBR,2016,2.5\nUnited Kingdom,GBR,2017,2.5\nUnited Kingdom,GBR,2018,2.5\nUnited Kingdom,GBR,2019,2.5\nUnited Kingdom,GBR,2020,2.5\nUnited Kingdom,GBR,2021,2.5\nUnited Kingdom,GBR,2022,2.5\nUnited Kingdom,GBR,2023,2.5\n```\n\nWas 2.1.1 prevalence of undernourishment - value (percent) in United Kingdom higher in 2004 or 2017?","response":"Higher in 2017. The chart gives 2.5 % for 2004 and 2.5 % for 2017, a difference of 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nUnited Kingdom,GBR,2001,2.5\nUnited Kingdom,GBR,2002,2.5\nUnited Kingdom,GBR,2003,2.5\nUnited Kingdom,GBR,2004,2.5\nUnited Kingdom,GBR,2005,2.5\nUnited Kingdom,GBR,2006,2.5\nUnited Kingdom,GBR,2007,2.5\nUnited Kingdom,GBR,2008,2.5\nUnited Kingdom,GBR,2009,2.5\nUnited Kingdom,GBR,2010,2.5\nUnited Kingdom,GBR,2011,2.5\nUnited Kingdom,GBR,2012,2.5\nUnited Kingdom,GBR,2013,2.5\nUnited Kingdom,GBR,2014,2.5\nUnited Kingdom,GBR,2015,2.5\nUnited Kingdom,GBR,2016,2.5\nUnited Kingdom,GBR,2017,2.5\nUnited Kingdom,GBR,2018,2.5\nUnited Kingdom,GBR,2019,2.5\nUnited Kingdom,GBR,2020,2.5\nUnited Kingdom,GBR,2021,2.5\nUnited Kingdom,GBR,2022,2.5\nUnited Kingdom,GBR,2023,2.5\n```\n\nThis chart appears to show 2.1.1 prevalence of undernourishment - value (percent) in United Kingdom rising steeply. How large is the increase actually?","response":"The plotted values run from 2.5 % to 2.5 %, so the actual change is +0.00%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 2.05 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nUnited Kingdom,GBR,2001,2.5\nUnited Kingdom,GBR,2002,2.5\nUnited Kingdom,GBR,2003,2.5\nUnited Kingdom,GBR,2004,2.5\nUnited Kingdom,GBR,2005,2.5\nUnited Kingdom,GBR,2006,2.5\nUnited Kingdom,GBR,2007,2.5\nUnited Kingdom,GBR,2008,2.5\nUnited Kingdom,GBR,2009,2.5\nUnited Kingdom,GBR,2010,2.5\nUnited Kingdom,GBR,2011,2.5\nUnited Kingdom,GBR,2012,2.5\nUnited Kingdom,GBR,2013,2.5\nUnited Kingdom,GBR,2014,2.5\nUnited Kingdom,GBR,2015,2.5\nUnited Kingdom,GBR,2016,2.5\nUnited Kingdom,GBR,2017,2.5\nUnited Kingdom,GBR,2018,2.5\nUnited Kingdom,GBR,2019,2.5\nUnited Kingdom,GBR,2020,2.5\nUnited Kingdom,GBR,2021,2.5\nUnited Kingdom,GBR,2022,2.5\nUnited Kingdom,GBR,2023,2.5\n```\n\nBased on this chart, is 2.1.1 prevalence of undernourishment - value (percent) in United Kingdom rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2.5 % to 2.5 %, a change of +0.00%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nUnited Kingdom,GBR,2001,2.5\nUnited Kingdom,GBR,2002,2.5\nUnited Kingdom,GBR,2003,2.5\nUnited Kingdom,GBR,2004,2.5\nUnited Kingdom,GBR,2005,2.5\nUnited Kingdom,GBR,2006,2.5\nUnited Kingdom,GBR,2007,2.5\nUnited Kingdom,GBR,2008,2.5\nUnited Kingdom,GBR,2009,2.5\nUnited Kingdom,GBR,2010,2.5\nUnited Kingdom,GBR,2011,2.5\nUnited Kingdom,GBR,2012,2.5\nUnited Kingdom,GBR,2013,2.5\nUnited Kingdom,GBR,2014,2.5\nUnited Kingdom,GBR,2015,2.5\nUnited Kingdom,GBR,2016,2.5\nUnited Kingdom,GBR,2017,2.5\nUnited Kingdom,GBR,2018,2.5\nUnited Kingdom,GBR,2019,2.5\nUnited Kingdom,GBR,2020,2.5\nUnited Kingdom,GBR,2021,2.5\nUnited Kingdom,GBR,2022,2.5\nUnited Kingdom,GBR,2023,2.5\n```\n\nWhat caused the change in 2.1.1 prevalence of undernourishment - value (percent) for United Kingdom around 2002?","response":"The chart shows that the change happened: 2.1.1 prevalence of undernourishment - value (percent) moves to 2.5 % in 2002. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__United-Kingdom__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nGhana,GHA,2001,14.8\nGhana,GHA,2002,13.4\nGhana,GHA,2003,12.6\nGhana,GHA,2004,12.0\nGhana,GHA,2005,11.1\nGhana,GHA,2006,10.4\nGhana,GHA,2007,9.2\nGhana,GHA,2008,8.1\nGhana,GHA,2009,6.9\nGhana,GHA,2010,6.9\nGhana,GHA,2011,7.3\nGhana,GHA,2012,7.7\nGhana,GHA,2013,8.0\nGhana,GHA,2014,8.7\nGhana,GHA,2015,9.4\nGhana,GHA,2016,9.5\nGhana,GHA,2017,8.8\nGhana,GHA,2018,7.5\nGhana,GHA,2019,6.6\nGhana,GHA,2020,5.7\nGhana,GHA,2021,5.6\nGhana,GHA,2022,5.9\nGhana,GHA,2023,6.3\n```\n\nAccording to this chart, what was 2.1.1 prevalence of undernourishment - value (percent) in Ghana in 2017?","response":"Reading the plotted point for 2017, 2.1.1 prevalence of undernourishment - value (percent) in Ghana was 8.8 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nGhana,GHA,2001,14.8\nGhana,GHA,2002,13.4\nGhana,GHA,2003,12.6\nGhana,GHA,2004,12.0\nGhana,GHA,2005,11.1\nGhana,GHA,2006,10.4\nGhana,GHA,2007,9.2\nGhana,GHA,2008,8.1\nGhana,GHA,2009,6.9\nGhana,GHA,2010,6.9\nGhana,GHA,2011,7.3\nGhana,GHA,2012,7.7\nGhana,GHA,2013,8.0\nGhana,GHA,2014,8.7\nGhana,GHA,2015,9.4\nGhana,GHA,2016,9.5\nGhana,GHA,2017,8.8\nGhana,GHA,2018,7.5\nGhana,GHA,2019,6.6\nGhana,GHA,2020,5.7\nGhana,GHA,2021,5.6\nGhana,GHA,2022,5.9\nGhana,GHA,2023,6.3\n```\n\nIn which year shown does 2.1.1 prevalence of undernourishment - value (percent) reach its highest value for Ghana?","response":"The series peaks in 2001, at 14.8 %. The lowest point shown is 2021, at 5.6 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nGhana,GHA,2001,14.8\nGhana,GHA,2002,13.4\nGhana,GHA,2003,12.6\nGhana,GHA,2004,12.0\nGhana,GHA,2005,11.1\nGhana,GHA,2006,10.4\nGhana,GHA,2007,9.2\nGhana,GHA,2008,8.1\nGhana,GHA,2009,6.9\nGhana,GHA,2010,6.9\nGhana,GHA,2011,7.3\nGhana,GHA,2012,7.7\nGhana,GHA,2013,8.0\nGhana,GHA,2014,8.7\nGhana,GHA,2015,9.4\nGhana,GHA,2016,9.5\nGhana,GHA,2017,8.8\nGhana,GHA,2018,7.5\nGhana,GHA,2019,6.6\nGhana,GHA,2020,5.7\nGhana,GHA,2021,5.6\nGhana,GHA,2022,5.9\nGhana,GHA,2023,6.3\n```\n\nHow much did 2.1.1 prevalence of undernourishment - value (percent) change for Ghana between 2001 and 2023?","response":"It moved from 14.8 % in 2001 to 6.3 % in 2023, a change of -8.5 % (-57.43%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nGhana,GHA,2001,14.8\nGhana,GHA,2002,13.4\nGhana,GHA,2003,12.6\nGhana,GHA,2004,12.0\nGhana,GHA,2005,11.1\nGhana,GHA,2006,10.4\nGhana,GHA,2007,9.2\nGhana,GHA,2008,8.1\nGhana,GHA,2009,6.9\nGhana,GHA,2010,6.9\nGhana,GHA,2011,7.3\nGhana,GHA,2012,7.7\nGhana,GHA,2013,8.0\nGhana,GHA,2014,8.7\nGhana,GHA,2015,9.4\nGhana,GHA,2016,9.5\nGhana,GHA,2017,8.8\nGhana,GHA,2018,7.5\nGhana,GHA,2019,6.6\nGhana,GHA,2020,5.7\nGhana,GHA,2021,5.6\nGhana,GHA,2022,5.9\nGhana,GHA,2023,6.3\n```\n\nWas 2.1.1 prevalence of undernourishment - value (percent) in Ghana higher in 2004 or 2021?","response":"Higher in 2004. The chart gives 12 % for 2004 and 5.6 % for 2021, a difference of 6.4 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nGhana,GHA,2001,14.8\nGhana,GHA,2002,13.4\nGhana,GHA,2003,12.6\nGhana,GHA,2004,12.0\nGhana,GHA,2005,11.1\nGhana,GHA,2006,10.4\nGhana,GHA,2007,9.2\nGhana,GHA,2008,8.1\nGhana,GHA,2009,6.9\nGhana,GHA,2010,6.9\nGhana,GHA,2011,7.3\nGhana,GHA,2012,7.7\nGhana,GHA,2013,8.0\nGhana,GHA,2014,8.7\nGhana,GHA,2015,9.4\nGhana,GHA,2016,9.5\nGhana,GHA,2017,8.8\nGhana,GHA,2018,7.5\nGhana,GHA,2019,6.6\nGhana,GHA,2020,5.7\nGhana,GHA,2021,5.6\nGhana,GHA,2022,5.9\nGhana,GHA,2023,6.3\n```\n\nAccording to this chart, what was 2.1.1 prevalence of undernourishment - value (percent) in Ghana in 2017?","response":"Reading the plotted point for 2017, 2.1.1 prevalence of undernourishment - value (percent) in Ghana was 8.8 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nGhana,GHA,2001,14.8\nGhana,GHA,2002,13.4\nGhana,GHA,2003,12.6\nGhana,GHA,2004,12.0\nGhana,GHA,2005,11.1\nGhana,GHA,2006,10.4\nGhana,GHA,2007,9.2\nGhana,GHA,2008,8.1\nGhana,GHA,2009,6.9\nGhana,GHA,2010,6.9\nGhana,GHA,2011,7.3\nGhana,GHA,2012,7.7\nGhana,GHA,2013,8.0\nGhana,GHA,2014,8.7\nGhana,GHA,2015,9.4\nGhana,GHA,2016,9.5\nGhana,GHA,2017,8.8\nGhana,GHA,2018,7.5\nGhana,GHA,2019,6.6\nGhana,GHA,2020,5.7\nGhana,GHA,2021,5.6\nGhana,GHA,2022,5.9\nGhana,GHA,2023,6.3\n```\n\nIn which year shown does 2.1.1 prevalence of undernourishment - value (percent) reach its highest value for Ghana?","response":"The series peaks in 2001, at 14.8 %. The lowest point shown is 2021, at 5.6 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nGhana,GHA,2001,14.8\nGhana,GHA,2002,13.4\nGhana,GHA,2003,12.6\nGhana,GHA,2004,12.0\nGhana,GHA,2005,11.1\nGhana,GHA,2006,10.4\nGhana,GHA,2007,9.2\nGhana,GHA,2008,8.1\nGhana,GHA,2009,6.9\nGhana,GHA,2010,6.9\nGhana,GHA,2011,7.3\nGhana,GHA,2012,7.7\nGhana,GHA,2013,8.0\nGhana,GHA,2014,8.7\nGhana,GHA,2015,9.4\nGhana,GHA,2016,9.5\nGhana,GHA,2017,8.8\nGhana,GHA,2018,7.5\nGhana,GHA,2019,6.6\nGhana,GHA,2020,5.7\nGhana,GHA,2021,5.6\nGhana,GHA,2022,5.9\nGhana,GHA,2023,6.3\n```\n\nHow much did 2.1.1 prevalence of undernourishment - value (percent) change for Ghana between 2001 and 2023?","response":"It moved from 14.8 % in 2001 to 6.3 % in 2023, a change of -8.5 % (-57.43%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nGhana,GHA,2001,14.8\nGhana,GHA,2002,13.4\nGhana,GHA,2003,12.6\nGhana,GHA,2004,12.0\nGhana,GHA,2005,11.1\nGhana,GHA,2006,10.4\nGhana,GHA,2007,9.2\nGhana,GHA,2008,8.1\nGhana,GHA,2009,6.9\nGhana,GHA,2010,6.9\nGhana,GHA,2011,7.3\nGhana,GHA,2012,7.7\nGhana,GHA,2013,8.0\nGhana,GHA,2014,8.7\nGhana,GHA,2015,9.4\nGhana,GHA,2016,9.5\nGhana,GHA,2017,8.8\nGhana,GHA,2018,7.5\nGhana,GHA,2019,6.6\nGhana,GHA,2020,5.7\nGhana,GHA,2021,5.6\nGhana,GHA,2022,5.9\nGhana,GHA,2023,6.3\n```\n\nWas 2.1.1 prevalence of undernourishment - value (percent) in Ghana higher in 2004 or 2021?","response":"Higher in 2004. The chart gives 12 % for 2004 and 5.6 % for 2021, a difference of 6.4 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nGhana,GHA,2001,14.8\nGhana,GHA,2002,13.4\nGhana,GHA,2003,12.6\nGhana,GHA,2004,12.0\nGhana,GHA,2005,11.1\nGhana,GHA,2006,10.4\nGhana,GHA,2007,9.2\nGhana,GHA,2008,8.1\nGhana,GHA,2009,6.9\nGhana,GHA,2010,6.9\nGhana,GHA,2011,7.3\nGhana,GHA,2012,7.7\nGhana,GHA,2013,8.0\nGhana,GHA,2014,8.7\nGhana,GHA,2015,9.4\nGhana,GHA,2016,9.5\nGhana,GHA,2017,8.8\nGhana,GHA,2018,7.5\nGhana,GHA,2019,6.6\nGhana,GHA,2020,5.7\nGhana,GHA,2021,5.6\nGhana,GHA,2022,5.9\nGhana,GHA,2023,6.3\n```\n\nThis chart makes the change in 2.1.1 prevalence of undernourishment - value (percent) for Ghana look dramatic. Is it?","response":"The values change by -57.43%, from 14.8 % to 6.3 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nGhana,GHA,2009,6.9\nGhana,GHA,2010,6.9\nGhana,GHA,2011,7.3\nGhana,GHA,2012,7.7\nGhana,GHA,2013,8.0\nGhana,GHA,2014,8.7\nGhana,GHA,2015,9.4\nGhana,GHA,2016,9.5\nGhana,GHA,2017,8.8\n```\n\nWhat does this chart suggest about the long-run direction of 2.1.1 prevalence of undernourishment - value (percent) in Ghana?","response":"Within the window shown (2009-2017) the series moves +27.54%, but that window runs against the longer record. Across the full series (2001-2023) the change is -57.43%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nGhana,GHA,2001,14.8\nGhana,GHA,2002,13.4\nGhana,GHA,2003,12.6\nGhana,GHA,2004,12.0\nGhana,GHA,2005,11.1\nGhana,GHA,2006,10.4\nGhana,GHA,2007,9.2\nGhana,GHA,2008,8.1\nGhana,GHA,2009,6.9\nGhana,GHA,2010,6.9\nGhana,GHA,2011,7.3\nGhana,GHA,2012,7.7\nGhana,GHA,2013,8.0\nGhana,GHA,2014,8.7\nGhana,GHA,2015,9.4\nGhana,GHA,2016,9.5\nGhana,GHA,2017,8.8\nGhana,GHA,2018,7.5\nGhana,GHA,2019,6.6\nGhana,GHA,2020,5.7\nGhana,GHA,2021,5.6\nGhana,GHA,2022,5.9\nGhana,GHA,2023,6.3\n```\n\nWhat was 2.1.1 prevalence of undernourishment - value (percent) for Ghana in 1986?","response":"That year is outside this chart. The series runs 2001 to 2023, and 1986 falls before it begins, so there is no value to read. The earliest point available is 2001, at 14.8 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Ghana__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nPortugal,PRT,2001,2.5\nPortugal,PRT,2002,2.5\nPortugal,PRT,2003,2.5\nPortugal,PRT,2004,2.5\nPortugal,PRT,2005,2.5\nPortugal,PRT,2006,2.5\nPortugal,PRT,2007,2.5\nPortugal,PRT,2008,2.5\nPortugal,PRT,2009,2.5\nPortugal,PRT,2010,2.5\nPortugal,PRT,2011,2.5\nPortugal,PRT,2012,2.5\nPortugal,PRT,2013,2.5\nPortugal,PRT,2014,2.5\nPortugal,PRT,2015,2.5\nPortugal,PRT,2016,2.5\nPortugal,PRT,2017,2.5\nPortugal,PRT,2018,2.5\nPortugal,PRT,2019,2.5\nPortugal,PRT,2020,2.5\nPortugal,PRT,2021,2.5\nPortugal,PRT,2022,2.5\nPortugal,PRT,2023,2.5\n```\n\nAccording to this chart, what was 2.1.1 prevalence of undernourishment - value (percent) in Portugal in 2005?","response":"Reading the plotted point for 2005, 2.1.1 prevalence of undernourishment - value (percent) in Portugal was 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nPortugal,PRT,2001,2.5\nPortugal,PRT,2002,2.5\nPortugal,PRT,2003,2.5\nPortugal,PRT,2004,2.5\nPortugal,PRT,2005,2.5\nPortugal,PRT,2006,2.5\nPortugal,PRT,2007,2.5\nPortugal,PRT,2008,2.5\nPortugal,PRT,2009,2.5\nPortugal,PRT,2010,2.5\nPortugal,PRT,2011,2.5\nPortugal,PRT,2012,2.5\nPortugal,PRT,2013,2.5\nPortugal,PRT,2014,2.5\nPortugal,PRT,2015,2.5\nPortugal,PRT,2016,2.5\nPortugal,PRT,2017,2.5\nPortugal,PRT,2018,2.5\nPortugal,PRT,2019,2.5\nPortugal,PRT,2020,2.5\nPortugal,PRT,2021,2.5\nPortugal,PRT,2022,2.5\nPortugal,PRT,2023,2.5\n```\n\nIn which year shown does 2.1.1 prevalence of undernourishment - value (percent) reach its highest value for Portugal?","response":"The series peaks in 2001, at 2.5 %. The lowest point shown is 2001, at 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nPortugal,PRT,2001,2.5\nPortugal,PRT,2002,2.5\nPortugal,PRT,2003,2.5\nPortugal,PRT,2004,2.5\nPortugal,PRT,2005,2.5\nPortugal,PRT,2006,2.5\nPortugal,PRT,2007,2.5\nPortugal,PRT,2008,2.5\nPortugal,PRT,2009,2.5\nPortugal,PRT,2010,2.5\nPortugal,PRT,2011,2.5\nPortugal,PRT,2012,2.5\nPortugal,PRT,2013,2.5\nPortugal,PRT,2014,2.5\nPortugal,PRT,2015,2.5\nPortugal,PRT,2016,2.5\nPortugal,PRT,2017,2.5\nPortugal,PRT,2018,2.5\nPortugal,PRT,2019,2.5\nPortugal,PRT,2020,2.5\nPortugal,PRT,2021,2.5\nPortugal,PRT,2022,2.5\nPortugal,PRT,2023,2.5\n```\n\nHow much did 2.1.1 prevalence of undernourishment - value (percent) change for Portugal between 2001 and 2023?","response":"It moved from 2.5 % in 2001 to 2.5 % in 2023, a change of 0 % (+0.00%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nPortugal,PRT,2001,2.5\nPortugal,PRT,2002,2.5\nPortugal,PRT,2003,2.5\nPortugal,PRT,2004,2.5\nPortugal,PRT,2005,2.5\nPortugal,PRT,2006,2.5\nPortugal,PRT,2007,2.5\nPortugal,PRT,2008,2.5\nPortugal,PRT,2009,2.5\nPortugal,PRT,2010,2.5\nPortugal,PRT,2011,2.5\nPortugal,PRT,2012,2.5\nPortugal,PRT,2013,2.5\nPortugal,PRT,2014,2.5\nPortugal,PRT,2015,2.5\nPortugal,PRT,2016,2.5\nPortugal,PRT,2017,2.5\nPortugal,PRT,2018,2.5\nPortugal,PRT,2019,2.5\nPortugal,PRT,2020,2.5\nPortugal,PRT,2021,2.5\nPortugal,PRT,2022,2.5\nPortugal,PRT,2023,2.5\n```\n\nWas 2.1.1 prevalence of undernourishment - value (percent) in Portugal higher in 2006 or 2021?","response":"Higher in 2021. The chart gives 2.5 % for 2006 and 2.5 % for 2021, a difference of 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nPortugal,PRT,2001,2.5\nPortugal,PRT,2002,2.5\nPortugal,PRT,2003,2.5\nPortugal,PRT,2004,2.5\nPortugal,PRT,2005,2.5\nPortugal,PRT,2006,2.5\nPortugal,PRT,2007,2.5\nPortugal,PRT,2008,2.5\nPortugal,PRT,2009,2.5\nPortugal,PRT,2010,2.5\nPortugal,PRT,2011,2.5\nPortugal,PRT,2012,2.5\nPortugal,PRT,2013,2.5\nPortugal,PRT,2014,2.5\nPortugal,PRT,2015,2.5\nPortugal,PRT,2016,2.5\nPortugal,PRT,2017,2.5\nPortugal,PRT,2018,2.5\nPortugal,PRT,2019,2.5\nPortugal,PRT,2020,2.5\nPortugal,PRT,2021,2.5\nPortugal,PRT,2022,2.5\nPortugal,PRT,2023,2.5\n```\n\nAccording to this chart, what was 2.1.1 prevalence of undernourishment - value (percent) in Portugal in 2005?","response":"Reading the plotted point for 2005, 2.1.1 prevalence of undernourishment - value (percent) in Portugal was 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nPortugal,PRT,2001,2.5\nPortugal,PRT,2002,2.5\nPortugal,PRT,2003,2.5\nPortugal,PRT,2004,2.5\nPortugal,PRT,2005,2.5\nPortugal,PRT,2006,2.5\nPortugal,PRT,2007,2.5\nPortugal,PRT,2008,2.5\nPortugal,PRT,2009,2.5\nPortugal,PRT,2010,2.5\nPortugal,PRT,2011,2.5\nPortugal,PRT,2012,2.5\nPortugal,PRT,2013,2.5\nPortugal,PRT,2014,2.5\nPortugal,PRT,2015,2.5\nPortugal,PRT,2016,2.5\nPortugal,PRT,2017,2.5\nPortugal,PRT,2018,2.5\nPortugal,PRT,2019,2.5\nPortugal,PRT,2020,2.5\nPortugal,PRT,2021,2.5\nPortugal,PRT,2022,2.5\nPortugal,PRT,2023,2.5\n```\n\nIn which year shown does 2.1.1 prevalence of undernourishment - value (percent) reach its highest value for Portugal?","response":"The series peaks in 2001, at 2.5 %. The lowest point shown is 2001, at 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nPortugal,PRT,2001,2.5\nPortugal,PRT,2002,2.5\nPortugal,PRT,2003,2.5\nPortugal,PRT,2004,2.5\nPortugal,PRT,2005,2.5\nPortugal,PRT,2006,2.5\nPortugal,PRT,2007,2.5\nPortugal,PRT,2008,2.5\nPortugal,PRT,2009,2.5\nPortugal,PRT,2010,2.5\nPortugal,PRT,2011,2.5\nPortugal,PRT,2012,2.5\nPortugal,PRT,2013,2.5\nPortugal,PRT,2014,2.5\nPortugal,PRT,2015,2.5\nPortugal,PRT,2016,2.5\nPortugal,PRT,2017,2.5\nPortugal,PRT,2018,2.5\nPortugal,PRT,2019,2.5\nPortugal,PRT,2020,2.5\nPortugal,PRT,2021,2.5\nPortugal,PRT,2022,2.5\nPortugal,PRT,2023,2.5\n```\n\nHow much did 2.1.1 prevalence of undernourishment - value (percent) change for Portugal between 2001 and 2023?","response":"It moved from 2.5 % in 2001 to 2.5 % in 2023, a change of 0 % (+0.00%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nPortugal,PRT,2001,2.5\nPortugal,PRT,2002,2.5\nPortugal,PRT,2003,2.5\nPortugal,PRT,2004,2.5\nPortugal,PRT,2005,2.5\nPortugal,PRT,2006,2.5\nPortugal,PRT,2007,2.5\nPortugal,PRT,2008,2.5\nPortugal,PRT,2009,2.5\nPortugal,PRT,2010,2.5\nPortugal,PRT,2011,2.5\nPortugal,PRT,2012,2.5\nPortugal,PRT,2013,2.5\nPortugal,PRT,2014,2.5\nPortugal,PRT,2015,2.5\nPortugal,PRT,2016,2.5\nPortugal,PRT,2017,2.5\nPortugal,PRT,2018,2.5\nPortugal,PRT,2019,2.5\nPortugal,PRT,2020,2.5\nPortugal,PRT,2021,2.5\nPortugal,PRT,2022,2.5\nPortugal,PRT,2023,2.5\n```\n\nWas 2.1.1 prevalence of undernourishment - value (percent) in Portugal higher in 2006 or 2021?","response":"Higher in 2021. The chart gives 2.5 % for 2006 and 2.5 % for 2021, a difference of 0 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nPortugal,PRT,2001,2.5\nPortugal,PRT,2002,2.5\nPortugal,PRT,2003,2.5\nPortugal,PRT,2004,2.5\nPortugal,PRT,2005,2.5\nPortugal,PRT,2006,2.5\nPortugal,PRT,2007,2.5\nPortugal,PRT,2008,2.5\nPortugal,PRT,2009,2.5\nPortugal,PRT,2010,2.5\nPortugal,PRT,2011,2.5\nPortugal,PRT,2012,2.5\nPortugal,PRT,2013,2.5\nPortugal,PRT,2014,2.5\nPortugal,PRT,2015,2.5\nPortugal,PRT,2016,2.5\nPortugal,PRT,2017,2.5\nPortugal,PRT,2018,2.5\nPortugal,PRT,2019,2.5\nPortugal,PRT,2020,2.5\nPortugal,PRT,2021,2.5\nPortugal,PRT,2022,2.5\nPortugal,PRT,2023,2.5\n```\n\nThis chart appears to show 2.1.1 prevalence of undernourishment - value (percent) in Portugal rising steeply. How large is the increase actually?","response":"The plotted values run from 2.5 % to 2.5 %, so the actual change is +0.00%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 2.05 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nPortugal,PRT,2001,2.5\nPortugal,PRT,2002,2.5\nPortugal,PRT,2003,2.5\nPortugal,PRT,2004,2.5\nPortugal,PRT,2005,2.5\nPortugal,PRT,2006,2.5\nPortugal,PRT,2007,2.5\nPortugal,PRT,2008,2.5\nPortugal,PRT,2009,2.5\nPortugal,PRT,2010,2.5\nPortugal,PRT,2011,2.5\nPortugal,PRT,2012,2.5\nPortugal,PRT,2013,2.5\nPortugal,PRT,2014,2.5\nPortugal,PRT,2015,2.5\nPortugal,PRT,2016,2.5\nPortugal,PRT,2017,2.5\nPortugal,PRT,2018,2.5\nPortugal,PRT,2019,2.5\nPortugal,PRT,2020,2.5\nPortugal,PRT,2021,2.5\nPortugal,PRT,2022,2.5\nPortugal,PRT,2023,2.5\n```\n\nBased on this chart, is 2.1.1 prevalence of undernourishment - value (percent) in Portugal rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2.5 % to 2.5 %, a change of +0.00%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,2.1.1 prevalence of undernourishment - Value (percent)\nPortugal,PRT,2001,2.5\nPortugal,PRT,2002,2.5\nPortugal,PRT,2003,2.5\nPortugal,PRT,2004,2.5\nPortugal,PRT,2005,2.5\nPortugal,PRT,2006,2.5\nPortugal,PRT,2007,2.5\nPortugal,PRT,2008,2.5\nPortugal,PRT,2009,2.5\nPortugal,PRT,2010,2.5\nPortugal,PRT,2011,2.5\nPortugal,PRT,2012,2.5\nPortugal,PRT,2013,2.5\nPortugal,PRT,2014,2.5\nPortugal,PRT,2015,2.5\nPortugal,PRT,2016,2.5\nPortugal,PRT,2017,2.5\nPortugal,PRT,2018,2.5\nPortugal,PRT,2019,2.5\nPortugal,PRT,2020,2.5\nPortugal,PRT,2021,2.5\nPortugal,PRT,2022,2.5\nPortugal,PRT,2023,2.5\n```\n\nWhat was 2.1.1 prevalence of undernourishment - value (percent) for Portugal in 1986?","response":"That year is outside this chart. The series runs 2001 to 2023, and 1986 falls before it begins, so there is no value to read. The earliest point available is 2001, at 2.5 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/prevalence-of-undernourishment__Portugal__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of people who are undernourished","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/prevalence-of-undernourishment?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nPortugal,PRT,1990,13.565946\nPortugal,PRT,1991,13.793492\nPortugal,PRT,1992,14.040492\nPortugal,PRT,1993,14.308184\nPortugal,PRT,1994,14.607038\nPortugal,PRT,1995,14.947724\nPortugal,PRT,1996,15.333632\nPortugal,PRT,1997,15.759055\nPortugal,PRT,1998,16.212309\nPortugal,PRT,1999,16.685345\nPortugal,PRT,2000,17.171753\nPortugal,PRT,2001,17.667233\nPortugal,PRT,2002,18.174623\nPortugal,PRT,2003,18.697666\nPortugal,PRT,2004,19.234037\nPortugal,PRT,2005,19.766891\nPortugal,PRT,2006,20.27916\nPortugal,PRT,2007,20.760939\nPortugal,PRT,2008,21.201242\nPortugal,PRT,2009,21.583242\nPortugal,PRT,2010,21.908857\nPortugal,PRT,2011,22.17639\nPortugal,PRT,2012,22.404554\nPortugal,PRT,2013,22.60951\nPortugal,PRT,2014,22.777493\nPortugal,PRT,2015,22.905506\nPortugal,PRT,2016,22.994793\nPortugal,PRT,2017,23.044094\nPortugal,PRT,2018,23.054403\nPortugal,PRT,2019,23.053186\nPortugal,PRT,2020,23.052818\nPortugal,PRT,2021,23.038923\nPortugal,PRT,2022,23.02014\nPortugal,PRT,2023,23.006374\nPortugal,PRT,2024,22.98233\n```\n\nAccording to this chart, what was obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Portugal in 2007?","response":"Reading the plotted point for 2007, obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Portugal was 20.76 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nPortugal,PRT,1990,13.565946\nPortugal,PRT,1991,13.793492\nPortugal,PRT,1992,14.040492\nPortugal,PRT,1993,14.308184\nPortugal,PRT,1994,14.607038\nPortugal,PRT,1995,14.947724\nPortugal,PRT,1996,15.333632\nPortugal,PRT,1997,15.759055\nPortugal,PRT,1998,16.212309\nPortugal,PRT,1999,16.685345\nPortugal,PRT,2000,17.171753\nPortugal,PRT,2001,17.667233\nPortugal,PRT,2002,18.174623\nPortugal,PRT,2003,18.697666\nPortugal,PRT,2004,19.234037\nPortugal,PRT,2005,19.766891\nPortugal,PRT,2006,20.27916\nPortugal,PRT,2007,20.760939\nPortugal,PRT,2008,21.201242\nPortugal,PRT,2009,21.583242\nPortugal,PRT,2010,21.908857\nPortugal,PRT,2011,22.17639\nPortugal,PRT,2012,22.404554\nPortugal,PRT,2013,22.60951\nPortugal,PRT,2014,22.777493\nPortugal,PRT,2015,22.905506\nPortugal,PRT,2016,22.994793\nPortugal,PRT,2017,23.044094\nPortugal,PRT,2018,23.054403\nPortugal,PRT,2019,23.053186\nPortugal,PRT,2020,23.052818\nPortugal,PRT,2021,23.038923\nPortugal,PRT,2022,23.02014\nPortugal,PRT,2023,23.006374\nPortugal,PRT,2024,22.98233\n```\n\nIn which year shown does obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age reach its highest value for Portugal?","response":"The series peaks in 2018, at 23.05 %. The lowest point shown is 1990, at 13.57 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nPortugal,PRT,1990,13.565946\nPortugal,PRT,1991,13.793492\nPortugal,PRT,1992,14.040492\nPortugal,PRT,1993,14.308184\nPortugal,PRT,1994,14.607038\nPortugal,PRT,1995,14.947724\nPortugal,PRT,1996,15.333632\nPortugal,PRT,1997,15.759055\nPortugal,PRT,1998,16.212309\nPortugal,PRT,1999,16.685345\nPortugal,PRT,2000,17.171753\nPortugal,PRT,2001,17.667233\nPortugal,PRT,2002,18.174623\nPortugal,PRT,2003,18.697666\nPortugal,PRT,2004,19.234037\nPortugal,PRT,2005,19.766891\nPortugal,PRT,2006,20.27916\nPortugal,PRT,2007,20.760939\nPortugal,PRT,2008,21.201242\nPortugal,PRT,2009,21.583242\nPortugal,PRT,2010,21.908857\nPortugal,PRT,2011,22.17639\nPortugal,PRT,2012,22.404554\nPortugal,PRT,2013,22.60951\nPortugal,PRT,2014,22.777493\nPortugal,PRT,2015,22.905506\nPortugal,PRT,2016,22.994793\nPortugal,PRT,2017,23.044094\nPortugal,PRT,2018,23.054403\nPortugal,PRT,2019,23.053186\nPortugal,PRT,2020,23.052818\nPortugal,PRT,2021,23.038923\nPortugal,PRT,2022,23.02014\nPortugal,PRT,2023,23.006374\nPortugal,PRT,2024,22.98233\n```\n\nHow much did obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age change for Portugal between 1990 and 2024?","response":"It moved from 13.57 % in 1990 to 22.98 % in 2024, a change of 9.42 % (+69.41%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nPortugal,PRT,1990,13.565946\nPortugal,PRT,1991,13.793492\nPortugal,PRT,1992,14.040492\nPortugal,PRT,1993,14.308184\nPortugal,PRT,1994,14.607038\nPortugal,PRT,1995,14.947724\nPortugal,PRT,1996,15.333632\nPortugal,PRT,1997,15.759055\nPortugal,PRT,1998,16.212309\nPortugal,PRT,1999,16.685345\nPortugal,PRT,2000,17.171753\nPortugal,PRT,2001,17.667233\nPortugal,PRT,2002,18.174623\nPortugal,PRT,2003,18.697666\nPortugal,PRT,2004,19.234037\nPortugal,PRT,2005,19.766891\nPortugal,PRT,2006,20.27916\nPortugal,PRT,2007,20.760939\nPortugal,PRT,2008,21.201242\nPortugal,PRT,2009,21.583242\nPortugal,PRT,2010,21.908857\nPortugal,PRT,2011,22.17639\nPortugal,PRT,2012,22.404554\nPortugal,PRT,2013,22.60951\nPortugal,PRT,2014,22.777493\nPortugal,PRT,2015,22.905506\nPortugal,PRT,2016,22.994793\nPortugal,PRT,2017,23.044094\nPortugal,PRT,2018,23.054403\nPortugal,PRT,2019,23.053186\nPortugal,PRT,2020,23.052818\nPortugal,PRT,2021,23.038923\nPortugal,PRT,2022,23.02014\nPortugal,PRT,2023,23.006374\nPortugal,PRT,2024,22.98233\n```\n\nWas obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Portugal higher in 1999 or 2019?","response":"Higher in 2019. The chart gives 16.69 % for 1999 and 23.05 % for 2019, a difference of 6.37 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nPortugal,PRT,1990,13.565946\nPortugal,PRT,1991,13.793492\nPortugal,PRT,1992,14.040492\nPortugal,PRT,1993,14.308184\nPortugal,PRT,1994,14.607038\nPortugal,PRT,1995,14.947724\nPortugal,PRT,1996,15.333632\nPortugal,PRT,1997,15.759055\nPortugal,PRT,1998,16.212309\nPortugal,PRT,1999,16.685345\nPortugal,PRT,2000,17.171753\nPortugal,PRT,2001,17.667233\nPortugal,PRT,2002,18.174623\nPortugal,PRT,2003,18.697666\nPortugal,PRT,2004,19.234037\nPortugal,PRT,2005,19.766891\nPortugal,PRT,2006,20.27916\nPortugal,PRT,2007,20.760939\nPortugal,PRT,2008,21.201242\nPortugal,PRT,2009,21.583242\nPortugal,PRT,2010,21.908857\nPortugal,PRT,2011,22.17639\nPortugal,PRT,2012,22.404554\nPortugal,PRT,2013,22.60951\nPortugal,PRT,2014,22.777493\nPortugal,PRT,2015,22.905506\nPortugal,PRT,2016,22.994793\nPortugal,PRT,2017,23.044094\nPortugal,PRT,2018,23.054403\nPortugal,PRT,2019,23.053186\nPortugal,PRT,2020,23.052818\nPortugal,PRT,2021,23.038923\nPortugal,PRT,2022,23.02014\nPortugal,PRT,2023,23.006374\nPortugal,PRT,2024,22.98233\n```\n\nAccording to this chart, what was obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Portugal in 2007?","response":"Reading the plotted point for 2007, obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Portugal was 20.76 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nPortugal,PRT,1990,13.565946\nPortugal,PRT,1991,13.793492\nPortugal,PRT,1992,14.040492\nPortugal,PRT,1993,14.308184\nPortugal,PRT,1994,14.607038\nPortugal,PRT,1995,14.947724\nPortugal,PRT,1996,15.333632\nPortugal,PRT,1997,15.759055\nPortugal,PRT,1998,16.212309\nPortugal,PRT,1999,16.685345\nPortugal,PRT,2000,17.171753\nPortugal,PRT,2001,17.667233\nPortugal,PRT,2002,18.174623\nPortugal,PRT,2003,18.697666\nPortugal,PRT,2004,19.234037\nPortugal,PRT,2005,19.766891\nPortugal,PRT,2006,20.27916\nPortugal,PRT,2007,20.760939\nPortugal,PRT,2008,21.201242\nPortugal,PRT,2009,21.583242\nPortugal,PRT,2010,21.908857\nPortugal,PRT,2011,22.17639\nPortugal,PRT,2012,22.404554\nPortugal,PRT,2013,22.60951\nPortugal,PRT,2014,22.777493\nPortugal,PRT,2015,22.905506\nPortugal,PRT,2016,22.994793\nPortugal,PRT,2017,23.044094\nPortugal,PRT,2018,23.054403\nPortugal,PRT,2019,23.053186\nPortugal,PRT,2020,23.052818\nPortugal,PRT,2021,23.038923\nPortugal,PRT,2022,23.02014\nPortugal,PRT,2023,23.006374\nPortugal,PRT,2024,22.98233\n```\n\nIn which year shown does obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age reach its highest value for Portugal?","response":"The series peaks in 2018, at 23.05 %. The lowest point shown is 1990, at 13.57 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nPortugal,PRT,1990,13.565946\nPortugal,PRT,1991,13.793492\nPortugal,PRT,1992,14.040492\nPortugal,PRT,1993,14.308184\nPortugal,PRT,1994,14.607038\nPortugal,PRT,1995,14.947724\nPortugal,PRT,1996,15.333632\nPortugal,PRT,1997,15.759055\nPortugal,PRT,1998,16.212309\nPortugal,PRT,1999,16.685345\nPortugal,PRT,2000,17.171753\nPortugal,PRT,2001,17.667233\nPortugal,PRT,2002,18.174623\nPortugal,PRT,2003,18.697666\nPortugal,PRT,2004,19.234037\nPortugal,PRT,2005,19.766891\nPortugal,PRT,2006,20.27916\nPortugal,PRT,2007,20.760939\nPortugal,PRT,2008,21.201242\nPortugal,PRT,2009,21.583242\nPortugal,PRT,2010,21.908857\nPortugal,PRT,2011,22.17639\nPortugal,PRT,2012,22.404554\nPortugal,PRT,2013,22.60951\nPortugal,PRT,2014,22.777493\nPortugal,PRT,2015,22.905506\nPortugal,PRT,2016,22.994793\nPortugal,PRT,2017,23.044094\nPortugal,PRT,2018,23.054403\nPortugal,PRT,2019,23.053186\nPortugal,PRT,2020,23.052818\nPortugal,PRT,2021,23.038923\nPortugal,PRT,2022,23.02014\nPortugal,PRT,2023,23.006374\nPortugal,PRT,2024,22.98233\n```\n\nHow much did obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age change for Portugal between 1990 and 2024?","response":"It moved from 13.57 % in 1990 to 22.98 % in 2024, a change of 9.42 % (+69.41%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nPortugal,PRT,1990,13.565946\nPortugal,PRT,1991,13.793492\nPortugal,PRT,1992,14.040492\nPortugal,PRT,1993,14.308184\nPortugal,PRT,1994,14.607038\nPortugal,PRT,1995,14.947724\nPortugal,PRT,1996,15.333632\nPortugal,PRT,1997,15.759055\nPortugal,PRT,1998,16.212309\nPortugal,PRT,1999,16.685345\nPortugal,PRT,2000,17.171753\nPortugal,PRT,2001,17.667233\nPortugal,PRT,2002,18.174623\nPortugal,PRT,2003,18.697666\nPortugal,PRT,2004,19.234037\nPortugal,PRT,2005,19.766891\nPortugal,PRT,2006,20.27916\nPortugal,PRT,2007,20.760939\nPortugal,PRT,2008,21.201242\nPortugal,PRT,2009,21.583242\nPortugal,PRT,2010,21.908857\nPortugal,PRT,2011,22.17639\nPortugal,PRT,2012,22.404554\nPortugal,PRT,2013,22.60951\nPortugal,PRT,2014,22.777493\nPortugal,PRT,2015,22.905506\nPortugal,PRT,2016,22.994793\nPortugal,PRT,2017,23.044094\nPortugal,PRT,2018,23.054403\nPortugal,PRT,2019,23.053186\nPortugal,PRT,2020,23.052818\nPortugal,PRT,2021,23.038923\nPortugal,PRT,2022,23.02014\nPortugal,PRT,2023,23.006374\nPortugal,PRT,2024,22.98233\n```\n\nWas obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Portugal higher in 1999 or 2019?","response":"Higher in 2019. The chart gives 16.69 % for 1999 and 23.05 % for 2019, a difference of 6.37 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nPortugal,PRT,1990,13.565946\nPortugal,PRT,1991,13.793492\nPortugal,PRT,1992,14.040492\nPortugal,PRT,1993,14.308184\nPortugal,PRT,1994,14.607038\nPortugal,PRT,1995,14.947724\nPortugal,PRT,1996,15.333632\nPortugal,PRT,1997,15.759055\nPortugal,PRT,1998,16.212309\nPortugal,PRT,1999,16.685345\nPortugal,PRT,2000,17.171753\nPortugal,PRT,2001,17.667233\nPortugal,PRT,2002,18.174623\nPortugal,PRT,2003,18.697666\nPortugal,PRT,2004,19.234037\nPortugal,PRT,2005,19.766891\nPortugal,PRT,2006,20.27916\nPortugal,PRT,2007,20.760939\nPortugal,PRT,2008,21.201242\nPortugal,PRT,2009,21.583242\nPortugal,PRT,2010,21.908857\nPortugal,PRT,2011,22.17639\nPortugal,PRT,2012,22.404554\nPortugal,PRT,2013,22.60951\nPortugal,PRT,2014,22.777493\nPortugal,PRT,2015,22.905506\nPortugal,PRT,2016,22.994793\nPortugal,PRT,2017,23.044094\nPortugal,PRT,2018,23.054403\nPortugal,PRT,2019,23.053186\nPortugal,PRT,2020,23.052818\nPortugal,PRT,2021,23.038923\nPortugal,PRT,2022,23.02014\nPortugal,PRT,2023,23.006374\nPortugal,PRT,2024,22.98233\n```\n\nThis chart appears to show obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Portugal rising steeply. How large is the increase actually?","response":"The plotted values run from 13.57 % to 22.98 %, so the actual change is +69.41%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 13.3762 instead of zero, which magnifies the visual change by roughly 2.52x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nPortugal,PRT,1990,13.565946\nPortugal,PRT,1991,13.793492\nPortugal,PRT,1992,14.040492\nPortugal,PRT,1993,14.308184\nPortugal,PRT,1994,14.607038\nPortugal,PRT,1995,14.947724\nPortugal,PRT,1996,15.333632\nPortugal,PRT,1997,15.759055\nPortugal,PRT,1998,16.212309\nPortugal,PRT,1999,16.685345\nPortugal,PRT,2000,17.171753\nPortugal,PRT,2001,17.667233\nPortugal,PRT,2002,18.174623\nPortugal,PRT,2003,18.697666\nPortugal,PRT,2004,19.234037\nPortugal,PRT,2005,19.766891\nPortugal,PRT,2006,20.27916\nPortugal,PRT,2007,20.760939\nPortugal,PRT,2008,21.201242\nPortugal,PRT,2009,21.583242\nPortugal,PRT,2010,21.908857\nPortugal,PRT,2011,22.17639\nPortugal,PRT,2012,22.404554\nPortugal,PRT,2013,22.60951\nPortugal,PRT,2014,22.777493\nPortugal,PRT,2015,22.905506\nPortugal,PRT,2016,22.994793\nPortugal,PRT,2017,23.044094\nPortugal,PRT,2018,23.054403\nPortugal,PRT,2019,23.053186\nPortugal,PRT,2020,23.052818\nPortugal,PRT,2021,23.038923\nPortugal,PRT,2022,23.02014\nPortugal,PRT,2023,23.006374\nPortugal,PRT,2024,22.98233\n```\n\nBased on this chart, is obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Portugal rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 13.57 % to 22.98 %, a change of +69.41%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nPortugal,PRT,2016,22.994793\nPortugal,PRT,2017,23.044094\nPortugal,PRT,2018,23.054403\nPortugal,PRT,2019,23.053186\nPortugal,PRT,2020,23.052818\nPortugal,PRT,2021,23.038923\nPortugal,PRT,2022,23.02014\nPortugal,PRT,2023,23.006374\nPortugal,PRT,2024,22.98233\n```\n\nWhat does this chart suggest about the long-run direction of obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Portugal?","response":"Within the window shown (2016-2024) the series moves -0.05%, but that window runs against the longer record. Across the full series (1990-2024) the change is +69.41%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nPortugal,PRT,1990,13.565946\nPortugal,PRT,1991,13.793492\nPortugal,PRT,1992,14.040492\nPortugal,PRT,1993,14.308184\nPortugal,PRT,1994,14.607038\nPortugal,PRT,1995,14.947724\nPortugal,PRT,1996,15.333632\nPortugal,PRT,1997,15.759055\nPortugal,PRT,1998,16.212309\nPortugal,PRT,1999,16.685345\nPortugal,PRT,2000,17.171753\nPortugal,PRT,2001,17.667233\nPortugal,PRT,2002,18.174623\nPortugal,PRT,2003,18.697666\nPortugal,PRT,2004,19.234037\nPortugal,PRT,2005,19.766891\nPortugal,PRT,2006,20.27916\nPortugal,PRT,2007,20.760939\nPortugal,PRT,2008,21.201242\nPortugal,PRT,2009,21.583242\nPortugal,PRT,2010,21.908857\nPortugal,PRT,2011,22.17639\nPortugal,PRT,2012,22.404554\nPortugal,PRT,2013,22.60951\nPortugal,PRT,2014,22.777493\nPortugal,PRT,2015,22.905506\nPortugal,PRT,2016,22.994793\nPortugal,PRT,2017,23.044094\nPortugal,PRT,2018,23.054403\nPortugal,PRT,2019,23.053186\nPortugal,PRT,2020,23.052818\nPortugal,PRT,2021,23.038923\nPortugal,PRT,2022,23.02014\nPortugal,PRT,2023,23.006374\nPortugal,PRT,2024,22.98233\n```\n\nWhat caused the change in obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age for Portugal around 2004?","response":"The chart shows that the change happened: obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age moves to 19.23 % in 2004. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Portugal__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nItaly,ITA,1990,13.720657\nItaly,ITA,1991,13.708377\nItaly,ITA,1992,13.739187\nItaly,ITA,1993,13.82201\nItaly,ITA,1994,13.993286\nItaly,ITA,1995,14.172325\nItaly,ITA,1996,14.362215\nItaly,ITA,1997,14.635225\nItaly,ITA,1998,14.941116\nItaly,ITA,1999,15.273407\nItaly,ITA,2000,15.622897\nItaly,ITA,2001,15.990116\nItaly,ITA,2002,16.366945\nItaly,ITA,2003,16.732758\nItaly,ITA,2004,17.08731\nItaly,ITA,2005,17.443272\nItaly,ITA,2006,17.785534\nItaly,ITA,2007,18.080233\nItaly,ITA,2008,18.324411\nItaly,ITA,2009,18.528776\nItaly,ITA,2010,18.682335\nItaly,ITA,2011,18.787008\nItaly,ITA,2012,18.847282\nItaly,ITA,2013,18.87658\nItaly,ITA,2014,18.88806\nItaly,ITA,2015,18.880947\nItaly,ITA,2016,18.84612\nItaly,ITA,2017,18.77778\nItaly,ITA,2018,18.686056\nItaly,ITA,2019,18.584608\nItaly,ITA,2020,18.469587\nItaly,ITA,2021,18.336275\nItaly,ITA,2022,18.186487\nItaly,ITA,2023,18.037563\nItaly,ITA,2024,17.900866\n```\n\nAccording to this chart, what was obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Italy in 2004?","response":"Reading the plotted point for 2004, obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Italy was 17.09 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nItaly,ITA,1990,13.720657\nItaly,ITA,1991,13.708377\nItaly,ITA,1992,13.739187\nItaly,ITA,1993,13.82201\nItaly,ITA,1994,13.993286\nItaly,ITA,1995,14.172325\nItaly,ITA,1996,14.362215\nItaly,ITA,1997,14.635225\nItaly,ITA,1998,14.941116\nItaly,ITA,1999,15.273407\nItaly,ITA,2000,15.622897\nItaly,ITA,2001,15.990116\nItaly,ITA,2002,16.366945\nItaly,ITA,2003,16.732758\nItaly,ITA,2004,17.08731\nItaly,ITA,2005,17.443272\nItaly,ITA,2006,17.785534\nItaly,ITA,2007,18.080233\nItaly,ITA,2008,18.324411\nItaly,ITA,2009,18.528776\nItaly,ITA,2010,18.682335\nItaly,ITA,2011,18.787008\nItaly,ITA,2012,18.847282\nItaly,ITA,2013,18.87658\nItaly,ITA,2014,18.88806\nItaly,ITA,2015,18.880947\nItaly,ITA,2016,18.84612\nItaly,ITA,2017,18.77778\nItaly,ITA,2018,18.686056\nItaly,ITA,2019,18.584608\nItaly,ITA,2020,18.469587\nItaly,ITA,2021,18.336275\nItaly,ITA,2022,18.186487\nItaly,ITA,2023,18.037563\nItaly,ITA,2024,17.900866\n```\n\nIn which year shown does obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age reach its highest value for Italy?","response":"The series peaks in 2014, at 18.89 %. The lowest point shown is 1991, at 13.71 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nItaly,ITA,1990,13.720657\nItaly,ITA,1991,13.708377\nItaly,ITA,1992,13.739187\nItaly,ITA,1993,13.82201\nItaly,ITA,1994,13.993286\nItaly,ITA,1995,14.172325\nItaly,ITA,1996,14.362215\nItaly,ITA,1997,14.635225\nItaly,ITA,1998,14.941116\nItaly,ITA,1999,15.273407\nItaly,ITA,2000,15.622897\nItaly,ITA,2001,15.990116\nItaly,ITA,2002,16.366945\nItaly,ITA,2003,16.732758\nItaly,ITA,2004,17.08731\nItaly,ITA,2005,17.443272\nItaly,ITA,2006,17.785534\nItaly,ITA,2007,18.080233\nItaly,ITA,2008,18.324411\nItaly,ITA,2009,18.528776\nItaly,ITA,2010,18.682335\nItaly,ITA,2011,18.787008\nItaly,ITA,2012,18.847282\nItaly,ITA,2013,18.87658\nItaly,ITA,2014,18.88806\nItaly,ITA,2015,18.880947\nItaly,ITA,2016,18.84612\nItaly,ITA,2017,18.77778\nItaly,ITA,2018,18.686056\nItaly,ITA,2019,18.584608\nItaly,ITA,2020,18.469587\nItaly,ITA,2021,18.336275\nItaly,ITA,2022,18.186487\nItaly,ITA,2023,18.037563\nItaly,ITA,2024,17.900866\n```\n\nHow much did obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age change for Italy between 1990 and 2024?","response":"It moved from 13.72 % in 1990 to 17.9 % in 2024, a change of 4.18 % (+30.47%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nItaly,ITA,1990,13.720657\nItaly,ITA,1991,13.708377\nItaly,ITA,1992,13.739187\nItaly,ITA,1993,13.82201\nItaly,ITA,1994,13.993286\nItaly,ITA,1995,14.172325\nItaly,ITA,1996,14.362215\nItaly,ITA,1997,14.635225\nItaly,ITA,1998,14.941116\nItaly,ITA,1999,15.273407\nItaly,ITA,2000,15.622897\nItaly,ITA,2001,15.990116\nItaly,ITA,2002,16.366945\nItaly,ITA,2003,16.732758\nItaly,ITA,2004,17.08731\nItaly,ITA,2005,17.443272\nItaly,ITA,2006,17.785534\nItaly,ITA,2007,18.080233\nItaly,ITA,2008,18.324411\nItaly,ITA,2009,18.528776\nItaly,ITA,2010,18.682335\nItaly,ITA,2011,18.787008\nItaly,ITA,2012,18.847282\nItaly,ITA,2013,18.87658\nItaly,ITA,2014,18.88806\nItaly,ITA,2015,18.880947\nItaly,ITA,2016,18.84612\nItaly,ITA,2017,18.77778\nItaly,ITA,2018,18.686056\nItaly,ITA,2019,18.584608\nItaly,ITA,2020,18.469587\nItaly,ITA,2021,18.336275\nItaly,ITA,2022,18.186487\nItaly,ITA,2023,18.037563\nItaly,ITA,2024,17.900866\n```\n\nWas obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Italy higher in 1994 or 2010?","response":"Higher in 2010. The chart gives 13.99 % for 1994 and 18.68 % for 2010, a difference of 4.69 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nItaly,ITA,1990,13.720657\nItaly,ITA,1991,13.708377\nItaly,ITA,1992,13.739187\nItaly,ITA,1993,13.82201\nItaly,ITA,1994,13.993286\nItaly,ITA,1995,14.172325\nItaly,ITA,1996,14.362215\nItaly,ITA,1997,14.635225\nItaly,ITA,1998,14.941116\nItaly,ITA,1999,15.273407\nItaly,ITA,2000,15.622897\nItaly,ITA,2001,15.990116\nItaly,ITA,2002,16.366945\nItaly,ITA,2003,16.732758\nItaly,ITA,2004,17.08731\nItaly,ITA,2005,17.443272\nItaly,ITA,2006,17.785534\nItaly,ITA,2007,18.080233\nItaly,ITA,2008,18.324411\nItaly,ITA,2009,18.528776\nItaly,ITA,2010,18.682335\nItaly,ITA,2011,18.787008\nItaly,ITA,2012,18.847282\nItaly,ITA,2013,18.87658\nItaly,ITA,2014,18.88806\nItaly,ITA,2015,18.880947\nItaly,ITA,2016,18.84612\nItaly,ITA,2017,18.77778\nItaly,ITA,2018,18.686056\nItaly,ITA,2019,18.584608\nItaly,ITA,2020,18.469587\nItaly,ITA,2021,18.336275\nItaly,ITA,2022,18.186487\nItaly,ITA,2023,18.037563\nItaly,ITA,2024,17.900866\n```\n\nAccording to this chart, what was obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Italy in 2004?","response":"Reading the plotted point for 2004, obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Italy was 17.09 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nItaly,ITA,1990,13.720657\nItaly,ITA,1991,13.708377\nItaly,ITA,1992,13.739187\nItaly,ITA,1993,13.82201\nItaly,ITA,1994,13.993286\nItaly,ITA,1995,14.172325\nItaly,ITA,1996,14.362215\nItaly,ITA,1997,14.635225\nItaly,ITA,1998,14.941116\nItaly,ITA,1999,15.273407\nItaly,ITA,2000,15.622897\nItaly,ITA,2001,15.990116\nItaly,ITA,2002,16.366945\nItaly,ITA,2003,16.732758\nItaly,ITA,2004,17.08731\nItaly,ITA,2005,17.443272\nItaly,ITA,2006,17.785534\nItaly,ITA,2007,18.080233\nItaly,ITA,2008,18.324411\nItaly,ITA,2009,18.528776\nItaly,ITA,2010,18.682335\nItaly,ITA,2011,18.787008\nItaly,ITA,2012,18.847282\nItaly,ITA,2013,18.87658\nItaly,ITA,2014,18.88806\nItaly,ITA,2015,18.880947\nItaly,ITA,2016,18.84612\nItaly,ITA,2017,18.77778\nItaly,ITA,2018,18.686056\nItaly,ITA,2019,18.584608\nItaly,ITA,2020,18.469587\nItaly,ITA,2021,18.336275\nItaly,ITA,2022,18.186487\nItaly,ITA,2023,18.037563\nItaly,ITA,2024,17.900866\n```\n\nIn which year shown does obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age reach its highest value for Italy?","response":"The series peaks in 2014, at 18.89 %. The lowest point shown is 1991, at 13.71 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nItaly,ITA,1990,13.720657\nItaly,ITA,1991,13.708377\nItaly,ITA,1992,13.739187\nItaly,ITA,1993,13.82201\nItaly,ITA,1994,13.993286\nItaly,ITA,1995,14.172325\nItaly,ITA,1996,14.362215\nItaly,ITA,1997,14.635225\nItaly,ITA,1998,14.941116\nItaly,ITA,1999,15.273407\nItaly,ITA,2000,15.622897\nItaly,ITA,2001,15.990116\nItaly,ITA,2002,16.366945\nItaly,ITA,2003,16.732758\nItaly,ITA,2004,17.08731\nItaly,ITA,2005,17.443272\nItaly,ITA,2006,17.785534\nItaly,ITA,2007,18.080233\nItaly,ITA,2008,18.324411\nItaly,ITA,2009,18.528776\nItaly,ITA,2010,18.682335\nItaly,ITA,2011,18.787008\nItaly,ITA,2012,18.847282\nItaly,ITA,2013,18.87658\nItaly,ITA,2014,18.88806\nItaly,ITA,2015,18.880947\nItaly,ITA,2016,18.84612\nItaly,ITA,2017,18.77778\nItaly,ITA,2018,18.686056\nItaly,ITA,2019,18.584608\nItaly,ITA,2020,18.469587\nItaly,ITA,2021,18.336275\nItaly,ITA,2022,18.186487\nItaly,ITA,2023,18.037563\nItaly,ITA,2024,17.900866\n```\n\nHow much did obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age change for Italy between 1990 and 2024?","response":"It moved from 13.72 % in 1990 to 17.9 % in 2024, a change of 4.18 % (+30.47%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nItaly,ITA,1990,13.720657\nItaly,ITA,1991,13.708377\nItaly,ITA,1992,13.739187\nItaly,ITA,1993,13.82201\nItaly,ITA,1994,13.993286\nItaly,ITA,1995,14.172325\nItaly,ITA,1996,14.362215\nItaly,ITA,1997,14.635225\nItaly,ITA,1998,14.941116\nItaly,ITA,1999,15.273407\nItaly,ITA,2000,15.622897\nItaly,ITA,2001,15.990116\nItaly,ITA,2002,16.366945\nItaly,ITA,2003,16.732758\nItaly,ITA,2004,17.08731\nItaly,ITA,2005,17.443272\nItaly,ITA,2006,17.785534\nItaly,ITA,2007,18.080233\nItaly,ITA,2008,18.324411\nItaly,ITA,2009,18.528776\nItaly,ITA,2010,18.682335\nItaly,ITA,2011,18.787008\nItaly,ITA,2012,18.847282\nItaly,ITA,2013,18.87658\nItaly,ITA,2014,18.88806\nItaly,ITA,2015,18.880947\nItaly,ITA,2016,18.84612\nItaly,ITA,2017,18.77778\nItaly,ITA,2018,18.686056\nItaly,ITA,2019,18.584608\nItaly,ITA,2020,18.469587\nItaly,ITA,2021,18.336275\nItaly,ITA,2022,18.186487\nItaly,ITA,2023,18.037563\nItaly,ITA,2024,17.900866\n```\n\nWas obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Italy higher in 1994 or 2010?","response":"Higher in 2010. The chart gives 13.99 % for 1994 and 18.68 % for 2010, a difference of 4.69 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nItaly,ITA,1990,13.720657\nItaly,ITA,1991,13.708377\nItaly,ITA,1992,13.739187\nItaly,ITA,1993,13.82201\nItaly,ITA,1994,13.993286\nItaly,ITA,1995,14.172325\nItaly,ITA,1996,14.362215\nItaly,ITA,1997,14.635225\nItaly,ITA,1998,14.941116\nItaly,ITA,1999,15.273407\nItaly,ITA,2000,15.622897\nItaly,ITA,2001,15.990116\nItaly,ITA,2002,16.366945\nItaly,ITA,2003,16.732758\nItaly,ITA,2004,17.08731\nItaly,ITA,2005,17.443272\nItaly,ITA,2006,17.785534\nItaly,ITA,2007,18.080233\nItaly,ITA,2008,18.324411\nItaly,ITA,2009,18.528776\nItaly,ITA,2010,18.682335\nItaly,ITA,2011,18.787008\nItaly,ITA,2012,18.847282\nItaly,ITA,2013,18.87658\nItaly,ITA,2014,18.88806\nItaly,ITA,2015,18.880947\nItaly,ITA,2016,18.84612\nItaly,ITA,2017,18.77778\nItaly,ITA,2018,18.686056\nItaly,ITA,2019,18.584608\nItaly,ITA,2020,18.469587\nItaly,ITA,2021,18.336275\nItaly,ITA,2022,18.186487\nItaly,ITA,2023,18.037563\nItaly,ITA,2024,17.900866\n```\n\nThis chart makes the change in obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age for Italy look dramatic. Is it?","response":"The values change by +30.47%, from 13.72 % to 17.9 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nItaly,ITA,1990,13.720657\nItaly,ITA,1991,13.708377\nItaly,ITA,1992,13.739187\nItaly,ITA,1993,13.82201\nItaly,ITA,1994,13.993286\nItaly,ITA,1995,14.172325\nItaly,ITA,1996,14.362215\nItaly,ITA,1997,14.635225\nItaly,ITA,1998,14.941116\nItaly,ITA,1999,15.273407\nItaly,ITA,2000,15.622897\nItaly,ITA,2001,15.990116\nItaly,ITA,2002,16.366945\nItaly,ITA,2003,16.732758\nItaly,ITA,2004,17.08731\nItaly,ITA,2005,17.443272\nItaly,ITA,2006,17.785534\nItaly,ITA,2007,18.080233\nItaly,ITA,2008,18.324411\nItaly,ITA,2009,18.528776\nItaly,ITA,2010,18.682335\nItaly,ITA,2011,18.787008\nItaly,ITA,2012,18.847282\nItaly,ITA,2013,18.87658\nItaly,ITA,2014,18.88806\nItaly,ITA,2015,18.880947\nItaly,ITA,2016,18.84612\nItaly,ITA,2017,18.77778\nItaly,ITA,2018,18.686056\nItaly,ITA,2019,18.584608\nItaly,ITA,2020,18.469587\nItaly,ITA,2021,18.336275\nItaly,ITA,2022,18.186487\nItaly,ITA,2023,18.037563\nItaly,ITA,2024,17.900866\n```\n\nThis chart appears to show obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Italy rising steeply. How large is the increase actually?","response":"The plotted values run from 13.72 % to 17.9 %, so the actual change is +30.47%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 12.8984 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nItaly,ITA,2016,18.84612\nItaly,ITA,2017,18.77778\nItaly,ITA,2018,18.686056\nItaly,ITA,2019,18.584608\nItaly,ITA,2020,18.469587\nItaly,ITA,2021,18.336275\nItaly,ITA,2022,18.186487\nItaly,ITA,2023,18.037563\nItaly,ITA,2024,17.900866\n```\n\nWhat does this chart suggest about the long-run direction of obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Italy?","response":"Within the window shown (2016-2024) the series moves -5.02%, but that window runs against the longer record. Across the full series (1990-2024) the change is +30.47%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nItaly,ITA,1990,13.720657\nItaly,ITA,1991,13.708377\nItaly,ITA,1992,13.739187\nItaly,ITA,1993,13.82201\nItaly,ITA,1994,13.993286\nItaly,ITA,1995,14.172325\nItaly,ITA,1996,14.362215\nItaly,ITA,1997,14.635225\nItaly,ITA,1998,14.941116\nItaly,ITA,1999,15.273407\nItaly,ITA,2000,15.622897\nItaly,ITA,2001,15.990116\nItaly,ITA,2002,16.366945\nItaly,ITA,2003,16.732758\nItaly,ITA,2004,17.08731\nItaly,ITA,2005,17.443272\nItaly,ITA,2006,17.785534\nItaly,ITA,2007,18.080233\nItaly,ITA,2008,18.324411\nItaly,ITA,2009,18.528776\nItaly,ITA,2010,18.682335\nItaly,ITA,2011,18.787008\nItaly,ITA,2012,18.847282\nItaly,ITA,2013,18.87658\nItaly,ITA,2014,18.88806\nItaly,ITA,2015,18.880947\nItaly,ITA,2016,18.84612\nItaly,ITA,2017,18.77778\nItaly,ITA,2018,18.686056\nItaly,ITA,2019,18.584608\nItaly,ITA,2020,18.469587\nItaly,ITA,2021,18.336275\nItaly,ITA,2022,18.186487\nItaly,ITA,2023,18.037563\nItaly,ITA,2024,17.900866\n```\n\nWhat caused the change in obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age for Italy around 2002?","response":"The chart shows that the change happened: obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age moves to 16.37 % in 2002. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Italy__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nArgentina,ARG,1990,12.81874\nArgentina,ARG,1991,13.310832\nArgentina,ARG,1992,13.812733\nArgentina,ARG,1993,14.32166\nArgentina,ARG,1994,14.841188\nArgentina,ARG,1995,15.372419\nArgentina,ARG,1996,15.915178\nArgentina,ARG,1997,16.4747\nArgentina,ARG,1998,17.04879\nArgentina,ARG,1999,17.638052\nArgentina,ARG,2000,18.236837\nArgentina,ARG,2001,18.839027\nArgentina,ARG,2002,19.449516\nArgentina,ARG,2003,20.07093\nArgentina,ARG,2004,20.70564\nArgentina,ARG,2005,21.354223\nArgentina,ARG,2006,22.014803\nArgentina,ARG,2007,22.68976\nArgentina,ARG,2008,23.387543\nArgentina,ARG,2009,24.111507\nArgentina,ARG,2010,24.867678\nArgentina,ARG,2011,25.656271\nArgentina,ARG,2012,26.477156\nArgentina,ARG,2013,27.3281\nArgentina,ARG,2014,28.21615\nArgentina,ARG,2015,29.140896\nArgentina,ARG,2016,30.088524\nArgentina,ARG,2017,31.045261\nArgentina,ARG,2018,32.012646\nArgentina,ARG,2019,32.99328\nArgentina,ARG,2020,33.98549\nArgentina,ARG,2021,34.9827\nArgentina,ARG,2022,35.991283\nArgentina,ARG,2023,37.01727\nArgentina,ARG,2024,38.05664\n```\n\nAccording to this chart, what was obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Argentina in 2014?","response":"Reading the plotted point for 2014, obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Argentina was 28.22 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nArgentina,ARG,1990,12.81874\nArgentina,ARG,1991,13.310832\nArgentina,ARG,1992,13.812733\nArgentina,ARG,1993,14.32166\nArgentina,ARG,1994,14.841188\nArgentina,ARG,1995,15.372419\nArgentina,ARG,1996,15.915178\nArgentina,ARG,1997,16.4747\nArgentina,ARG,1998,17.04879\nArgentina,ARG,1999,17.638052\nArgentina,ARG,2000,18.236837\nArgentina,ARG,2001,18.839027\nArgentina,ARG,2002,19.449516\nArgentina,ARG,2003,20.07093\nArgentina,ARG,2004,20.70564\nArgentina,ARG,2005,21.354223\nArgentina,ARG,2006,22.014803\nArgentina,ARG,2007,22.68976\nArgentina,ARG,2008,23.387543\nArgentina,ARG,2009,24.111507\nArgentina,ARG,2010,24.867678\nArgentina,ARG,2011,25.656271\nArgentina,ARG,2012,26.477156\nArgentina,ARG,2013,27.3281\nArgentina,ARG,2014,28.21615\nArgentina,ARG,2015,29.140896\nArgentina,ARG,2016,30.088524\nArgentina,ARG,2017,31.045261\nArgentina,ARG,2018,32.012646\nArgentina,ARG,2019,32.99328\nArgentina,ARG,2020,33.98549\nArgentina,ARG,2021,34.9827\nArgentina,ARG,2022,35.991283\nArgentina,ARG,2023,37.01727\nArgentina,ARG,2024,38.05664\n```\n\nIn which year shown does obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age reach its highest value for Argentina?","response":"The series peaks in 2024, at 38.06 %. The lowest point shown is 1990, at 12.82 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nArgentina,ARG,1990,12.81874\nArgentina,ARG,1991,13.310832\nArgentina,ARG,1992,13.812733\nArgentina,ARG,1993,14.32166\nArgentina,ARG,1994,14.841188\nArgentina,ARG,1995,15.372419\nArgentina,ARG,1996,15.915178\nArgentina,ARG,1997,16.4747\nArgentina,ARG,1998,17.04879\nArgentina,ARG,1999,17.638052\nArgentina,ARG,2000,18.236837\nArgentina,ARG,2001,18.839027\nArgentina,ARG,2002,19.449516\nArgentina,ARG,2003,20.07093\nArgentina,ARG,2004,20.70564\nArgentina,ARG,2005,21.354223\nArgentina,ARG,2006,22.014803\nArgentina,ARG,2007,22.68976\nArgentina,ARG,2008,23.387543\nArgentina,ARG,2009,24.111507\nArgentina,ARG,2010,24.867678\nArgentina,ARG,2011,25.656271\nArgentina,ARG,2012,26.477156\nArgentina,ARG,2013,27.3281\nArgentina,ARG,2014,28.21615\nArgentina,ARG,2015,29.140896\nArgentina,ARG,2016,30.088524\nArgentina,ARG,2017,31.045261\nArgentina,ARG,2018,32.012646\nArgentina,ARG,2019,32.99328\nArgentina,ARG,2020,33.98549\nArgentina,ARG,2021,34.9827\nArgentina,ARG,2022,35.991283\nArgentina,ARG,2023,37.01727\nArgentina,ARG,2024,38.05664\n```\n\nHow much did obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age change for Argentina between 1990 and 2024?","response":"It moved from 12.82 % in 1990 to 38.06 % in 2024, a change of 25.24 % (+196.88%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nArgentina,ARG,1990,12.81874\nArgentina,ARG,1991,13.310832\nArgentina,ARG,1992,13.812733\nArgentina,ARG,1993,14.32166\nArgentina,ARG,1994,14.841188\nArgentina,ARG,1995,15.372419\nArgentina,ARG,1996,15.915178\nArgentina,ARG,1997,16.4747\nArgentina,ARG,1998,17.04879\nArgentina,ARG,1999,17.638052\nArgentina,ARG,2000,18.236837\nArgentina,ARG,2001,18.839027\nArgentina,ARG,2002,19.449516\nArgentina,ARG,2003,20.07093\nArgentina,ARG,2004,20.70564\nArgentina,ARG,2005,21.354223\nArgentina,ARG,2006,22.014803\nArgentina,ARG,2007,22.68976\nArgentina,ARG,2008,23.387543\nArgentina,ARG,2009,24.111507\nArgentina,ARG,2010,24.867678\nArgentina,ARG,2011,25.656271\nArgentina,ARG,2012,26.477156\nArgentina,ARG,2013,27.3281\nArgentina,ARG,2014,28.21615\nArgentina,ARG,2015,29.140896\nArgentina,ARG,2016,30.088524\nArgentina,ARG,2017,31.045261\nArgentina,ARG,2018,32.012646\nArgentina,ARG,2019,32.99328\nArgentina,ARG,2020,33.98549\nArgentina,ARG,2021,34.9827\nArgentina,ARG,2022,35.991283\nArgentina,ARG,2023,37.01727\nArgentina,ARG,2024,38.05664\n```\n\nWas obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Argentina higher in 1996 or 2013?","response":"Higher in 2013. The chart gives 15.92 % for 1996 and 27.33 % for 2013, a difference of 11.41 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nArgentina,ARG,1990,12.81874\nArgentina,ARG,1991,13.310832\nArgentina,ARG,1992,13.812733\nArgentina,ARG,1993,14.32166\nArgentina,ARG,1994,14.841188\nArgentina,ARG,1995,15.372419\nArgentina,ARG,1996,15.915178\nArgentina,ARG,1997,16.4747\nArgentina,ARG,1998,17.04879\nArgentina,ARG,1999,17.638052\nArgentina,ARG,2000,18.236837\nArgentina,ARG,2001,18.839027\nArgentina,ARG,2002,19.449516\nArgentina,ARG,2003,20.07093\nArgentina,ARG,2004,20.70564\nArgentina,ARG,2005,21.354223\nArgentina,ARG,2006,22.014803\nArgentina,ARG,2007,22.68976\nArgentina,ARG,2008,23.387543\nArgentina,ARG,2009,24.111507\nArgentina,ARG,2010,24.867678\nArgentina,ARG,2011,25.656271\nArgentina,ARG,2012,26.477156\nArgentina,ARG,2013,27.3281\nArgentina,ARG,2014,28.21615\nArgentina,ARG,2015,29.140896\nArgentina,ARG,2016,30.088524\nArgentina,ARG,2017,31.045261\nArgentina,ARG,2018,32.012646\nArgentina,ARG,2019,32.99328\nArgentina,ARG,2020,33.98549\nArgentina,ARG,2021,34.9827\nArgentina,ARG,2022,35.991283\nArgentina,ARG,2023,37.01727\nArgentina,ARG,2024,38.05664\n```\n\nAccording to this chart, what was obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Argentina in 2014?","response":"Reading the plotted point for 2014, obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Argentina was 28.22 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nArgentina,ARG,1990,12.81874\nArgentina,ARG,1991,13.310832\nArgentina,ARG,1992,13.812733\nArgentina,ARG,1993,14.32166\nArgentina,ARG,1994,14.841188\nArgentina,ARG,1995,15.372419\nArgentina,ARG,1996,15.915178\nArgentina,ARG,1997,16.4747\nArgentina,ARG,1998,17.04879\nArgentina,ARG,1999,17.638052\nArgentina,ARG,2000,18.236837\nArgentina,ARG,2001,18.839027\nArgentina,ARG,2002,19.449516\nArgentina,ARG,2003,20.07093\nArgentina,ARG,2004,20.70564\nArgentina,ARG,2005,21.354223\nArgentina,ARG,2006,22.014803\nArgentina,ARG,2007,22.68976\nArgentina,ARG,2008,23.387543\nArgentina,ARG,2009,24.111507\nArgentina,ARG,2010,24.867678\nArgentina,ARG,2011,25.656271\nArgentina,ARG,2012,26.477156\nArgentina,ARG,2013,27.3281\nArgentina,ARG,2014,28.21615\nArgentina,ARG,2015,29.140896\nArgentina,ARG,2016,30.088524\nArgentina,ARG,2017,31.045261\nArgentina,ARG,2018,32.012646\nArgentina,ARG,2019,32.99328\nArgentina,ARG,2020,33.98549\nArgentina,ARG,2021,34.9827\nArgentina,ARG,2022,35.991283\nArgentina,ARG,2023,37.01727\nArgentina,ARG,2024,38.05664\n```\n\nIn which year shown does obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age reach its highest value for Argentina?","response":"The series peaks in 2024, at 38.06 %. The lowest point shown is 1990, at 12.82 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nArgentina,ARG,1990,12.81874\nArgentina,ARG,1991,13.310832\nArgentina,ARG,1992,13.812733\nArgentina,ARG,1993,14.32166\nArgentina,ARG,1994,14.841188\nArgentina,ARG,1995,15.372419\nArgentina,ARG,1996,15.915178\nArgentina,ARG,1997,16.4747\nArgentina,ARG,1998,17.04879\nArgentina,ARG,1999,17.638052\nArgentina,ARG,2000,18.236837\nArgentina,ARG,2001,18.839027\nArgentina,ARG,2002,19.449516\nArgentina,ARG,2003,20.07093\nArgentina,ARG,2004,20.70564\nArgentina,ARG,2005,21.354223\nArgentina,ARG,2006,22.014803\nArgentina,ARG,2007,22.68976\nArgentina,ARG,2008,23.387543\nArgentina,ARG,2009,24.111507\nArgentina,ARG,2010,24.867678\nArgentina,ARG,2011,25.656271\nArgentina,ARG,2012,26.477156\nArgentina,ARG,2013,27.3281\nArgentina,ARG,2014,28.21615\nArgentina,ARG,2015,29.140896\nArgentina,ARG,2016,30.088524\nArgentina,ARG,2017,31.045261\nArgentina,ARG,2018,32.012646\nArgentina,ARG,2019,32.99328\nArgentina,ARG,2020,33.98549\nArgentina,ARG,2021,34.9827\nArgentina,ARG,2022,35.991283\nArgentina,ARG,2023,37.01727\nArgentina,ARG,2024,38.05664\n```\n\nHow much did obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age change for Argentina between 1990 and 2024?","response":"It moved from 12.82 % in 1990 to 38.06 % in 2024, a change of 25.24 % (+196.88%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nArgentina,ARG,1990,12.81874\nArgentina,ARG,1991,13.310832\nArgentina,ARG,1992,13.812733\nArgentina,ARG,1993,14.32166\nArgentina,ARG,1994,14.841188\nArgentina,ARG,1995,15.372419\nArgentina,ARG,1996,15.915178\nArgentina,ARG,1997,16.4747\nArgentina,ARG,1998,17.04879\nArgentina,ARG,1999,17.638052\nArgentina,ARG,2000,18.236837\nArgentina,ARG,2001,18.839027\nArgentina,ARG,2002,19.449516\nArgentina,ARG,2003,20.07093\nArgentina,ARG,2004,20.70564\nArgentina,ARG,2005,21.354223\nArgentina,ARG,2006,22.014803\nArgentina,ARG,2007,22.68976\nArgentina,ARG,2008,23.387543\nArgentina,ARG,2009,24.111507\nArgentina,ARG,2010,24.867678\nArgentina,ARG,2011,25.656271\nArgentina,ARG,2012,26.477156\nArgentina,ARG,2013,27.3281\nArgentina,ARG,2014,28.21615\nArgentina,ARG,2015,29.140896\nArgentina,ARG,2016,30.088524\nArgentina,ARG,2017,31.045261\nArgentina,ARG,2018,32.012646\nArgentina,ARG,2019,32.99328\nArgentina,ARG,2020,33.98549\nArgentina,ARG,2021,34.9827\nArgentina,ARG,2022,35.991283\nArgentina,ARG,2023,37.01727\nArgentina,ARG,2024,38.05664\n```\n\nWas obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Argentina higher in 1996 or 2013?","response":"Higher in 2013. The chart gives 15.92 % for 1996 and 27.33 % for 2013, a difference of 11.41 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nArgentina,ARG,1990,12.81874\nArgentina,ARG,1991,13.310832\nArgentina,ARG,1992,13.812733\nArgentina,ARG,1993,14.32166\nArgentina,ARG,1994,14.841188\nArgentina,ARG,1995,15.372419\nArgentina,ARG,1996,15.915178\nArgentina,ARG,1997,16.4747\nArgentina,ARG,1998,17.04879\nArgentina,ARG,1999,17.638052\nArgentina,ARG,2000,18.236837\nArgentina,ARG,2001,18.839027\nArgentina,ARG,2002,19.449516\nArgentina,ARG,2003,20.07093\nArgentina,ARG,2004,20.70564\nArgentina,ARG,2005,21.354223\nArgentina,ARG,2006,22.014803\nArgentina,ARG,2007,22.68976\nArgentina,ARG,2008,23.387543\nArgentina,ARG,2009,24.111507\nArgentina,ARG,2010,24.867678\nArgentina,ARG,2011,25.656271\nArgentina,ARG,2012,26.477156\nArgentina,ARG,2013,27.3281\nArgentina,ARG,2014,28.21615\nArgentina,ARG,2015,29.140896\nArgentina,ARG,2016,30.088524\nArgentina,ARG,2017,31.045261\nArgentina,ARG,2018,32.012646\nArgentina,ARG,2019,32.99328\nArgentina,ARG,2020,33.98549\nArgentina,ARG,2021,34.9827\nArgentina,ARG,2022,35.991283\nArgentina,ARG,2023,37.01727\nArgentina,ARG,2024,38.05664\n```\n\nBased on this chart, is obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in Argentina rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 12.82 % to 38.06 %, a change of +196.88%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nArgentina,ARG,1990,12.81874\nArgentina,ARG,1991,13.310832\nArgentina,ARG,1992,13.812733\nArgentina,ARG,1993,14.32166\nArgentina,ARG,1994,14.841188\nArgentina,ARG,1995,15.372419\nArgentina,ARG,1996,15.915178\nArgentina,ARG,1997,16.4747\nArgentina,ARG,1998,17.04879\nArgentina,ARG,1999,17.638052\nArgentina,ARG,2000,18.236837\nArgentina,ARG,2001,18.839027\nArgentina,ARG,2002,19.449516\nArgentina,ARG,2003,20.07093\nArgentina,ARG,2004,20.70564\nArgentina,ARG,2005,21.354223\nArgentina,ARG,2006,22.014803\nArgentina,ARG,2007,22.68976\nArgentina,ARG,2008,23.387543\nArgentina,ARG,2009,24.111507\nArgentina,ARG,2010,24.867678\nArgentina,ARG,2011,25.656271\nArgentina,ARG,2012,26.477156\nArgentina,ARG,2013,27.3281\nArgentina,ARG,2014,28.21615\nArgentina,ARG,2015,29.140896\nArgentina,ARG,2016,30.088524\nArgentina,ARG,2017,31.045261\nArgentina,ARG,2018,32.012646\nArgentina,ARG,2019,32.99328\nArgentina,ARG,2020,33.98549\nArgentina,ARG,2021,34.9827\nArgentina,ARG,2022,35.991283\nArgentina,ARG,2023,37.01727\nArgentina,ARG,2024,38.05664\n```\n\nWhat caused the change in obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age for Argentina around 2024?","response":"The chart shows that the change happened: obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age moves to 38.06 % in 2024. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__Argentina__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nIndia,IND,1990,0.6676362\nIndia,IND,1991,0.7286001\nIndia,IND,1992,0.79486006\nIndia,IND,1993,0.86687326\nIndia,IND,1994,0.94534487\nIndia,IND,1995,1.031506\nIndia,IND,1996,1.1262991\nIndia,IND,1997,1.2309127\nIndia,IND,1998,1.3457817\nIndia,IND,1999,1.4708201\nIndia,IND,2000,1.6056035\nIndia,IND,2001,1.7493144\nIndia,IND,2002,1.9023366\nIndia,IND,2003,2.0641341\nIndia,IND,2004,2.2337162\nIndia,IND,2005,2.4103959\nIndia,IND,2006,2.5954108\nIndia,IND,2007,2.7900631\nIndia,IND,2008,2.993848\nIndia,IND,2009,3.2056365\nIndia,IND,2010,3.4253933\nIndia,IND,2011,3.6551945\nIndia,IND,2012,3.8978975\nIndia,IND,2013,4.157171\nIndia,IND,2014,4.433521\nIndia,IND,2015,4.731754\nIndia,IND,2016,5.0493016\nIndia,IND,2017,5.3812838\nIndia,IND,2018,5.72167\nIndia,IND,2019,6.068963\nIndia,IND,2020,6.425301\nIndia,IND,2021,6.7943454\nIndia,IND,2022,7.175905\nIndia,IND,2023,7.571122\nIndia,IND,2024,7.9803705\n```\n\nAccording to this chart, what was obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in India in 1994?","response":"Reading the plotted point for 1994, obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in India was 0.95 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nIndia,IND,1990,0.6676362\nIndia,IND,1991,0.7286001\nIndia,IND,1992,0.79486006\nIndia,IND,1993,0.86687326\nIndia,IND,1994,0.94534487\nIndia,IND,1995,1.031506\nIndia,IND,1996,1.1262991\nIndia,IND,1997,1.2309127\nIndia,IND,1998,1.3457817\nIndia,IND,1999,1.4708201\nIndia,IND,2000,1.6056035\nIndia,IND,2001,1.7493144\nIndia,IND,2002,1.9023366\nIndia,IND,2003,2.0641341\nIndia,IND,2004,2.2337162\nIndia,IND,2005,2.4103959\nIndia,IND,2006,2.5954108\nIndia,IND,2007,2.7900631\nIndia,IND,2008,2.993848\nIndia,IND,2009,3.2056365\nIndia,IND,2010,3.4253933\nIndia,IND,2011,3.6551945\nIndia,IND,2012,3.8978975\nIndia,IND,2013,4.157171\nIndia,IND,2014,4.433521\nIndia,IND,2015,4.731754\nIndia,IND,2016,5.0493016\nIndia,IND,2017,5.3812838\nIndia,IND,2018,5.72167\nIndia,IND,2019,6.068963\nIndia,IND,2020,6.425301\nIndia,IND,2021,6.7943454\nIndia,IND,2022,7.175905\nIndia,IND,2023,7.571122\nIndia,IND,2024,7.9803705\n```\n\nIn which year shown does obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age reach its highest value for India?","response":"The series peaks in 2024, at 7.98 %. The lowest point shown is 1990, at 0.67 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nIndia,IND,1990,0.6676362\nIndia,IND,1991,0.7286001\nIndia,IND,1992,0.79486006\nIndia,IND,1993,0.86687326\nIndia,IND,1994,0.94534487\nIndia,IND,1995,1.031506\nIndia,IND,1996,1.1262991\nIndia,IND,1997,1.2309127\nIndia,IND,1998,1.3457817\nIndia,IND,1999,1.4708201\nIndia,IND,2000,1.6056035\nIndia,IND,2001,1.7493144\nIndia,IND,2002,1.9023366\nIndia,IND,2003,2.0641341\nIndia,IND,2004,2.2337162\nIndia,IND,2005,2.4103959\nIndia,IND,2006,2.5954108\nIndia,IND,2007,2.7900631\nIndia,IND,2008,2.993848\nIndia,IND,2009,3.2056365\nIndia,IND,2010,3.4253933\nIndia,IND,2011,3.6551945\nIndia,IND,2012,3.8978975\nIndia,IND,2013,4.157171\nIndia,IND,2014,4.433521\nIndia,IND,2015,4.731754\nIndia,IND,2016,5.0493016\nIndia,IND,2017,5.3812838\nIndia,IND,2018,5.72167\nIndia,IND,2019,6.068963\nIndia,IND,2020,6.425301\nIndia,IND,2021,6.7943454\nIndia,IND,2022,7.175905\nIndia,IND,2023,7.571122\nIndia,IND,2024,7.9803705\n```\n\nHow much did obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age change for India between 1990 and 2024?","response":"It moved from 0.67 % in 1990 to 7.98 % in 2024, a change of 7.31 % (+1095.32%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nIndia,IND,1990,0.6676362\nIndia,IND,1991,0.7286001\nIndia,IND,1992,0.79486006\nIndia,IND,1993,0.86687326\nIndia,IND,1994,0.94534487\nIndia,IND,1995,1.031506\nIndia,IND,1996,1.1262991\nIndia,IND,1997,1.2309127\nIndia,IND,1998,1.3457817\nIndia,IND,1999,1.4708201\nIndia,IND,2000,1.6056035\nIndia,IND,2001,1.7493144\nIndia,IND,2002,1.9023366\nIndia,IND,2003,2.0641341\nIndia,IND,2004,2.2337162\nIndia,IND,2005,2.4103959\nIndia,IND,2006,2.5954108\nIndia,IND,2007,2.7900631\nIndia,IND,2008,2.993848\nIndia,IND,2009,3.2056365\nIndia,IND,2010,3.4253933\nIndia,IND,2011,3.6551945\nIndia,IND,2012,3.8978975\nIndia,IND,2013,4.157171\nIndia,IND,2014,4.433521\nIndia,IND,2015,4.731754\nIndia,IND,2016,5.0493016\nIndia,IND,2017,5.3812838\nIndia,IND,2018,5.72167\nIndia,IND,2019,6.068963\nIndia,IND,2020,6.425301\nIndia,IND,2021,6.7943454\nIndia,IND,2022,7.175905\nIndia,IND,2023,7.571122\nIndia,IND,2024,7.9803705\n```\n\nWas obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in India higher in 2006 or 2019?","response":"Higher in 2019. The chart gives 2.6 % for 2006 and 6.07 % for 2019, a difference of 3.47 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nIndia,IND,1990,0.6676362\nIndia,IND,1991,0.7286001\nIndia,IND,1992,0.79486006\nIndia,IND,1993,0.86687326\nIndia,IND,1994,0.94534487\nIndia,IND,1995,1.031506\nIndia,IND,1996,1.1262991\nIndia,IND,1997,1.2309127\nIndia,IND,1998,1.3457817\nIndia,IND,1999,1.4708201\nIndia,IND,2000,1.6056035\nIndia,IND,2001,1.7493144\nIndia,IND,2002,1.9023366\nIndia,IND,2003,2.0641341\nIndia,IND,2004,2.2337162\nIndia,IND,2005,2.4103959\nIndia,IND,2006,2.5954108\nIndia,IND,2007,2.7900631\nIndia,IND,2008,2.993848\nIndia,IND,2009,3.2056365\nIndia,IND,2010,3.4253933\nIndia,IND,2011,3.6551945\nIndia,IND,2012,3.8978975\nIndia,IND,2013,4.157171\nIndia,IND,2014,4.433521\nIndia,IND,2015,4.731754\nIndia,IND,2016,5.0493016\nIndia,IND,2017,5.3812838\nIndia,IND,2018,5.72167\nIndia,IND,2019,6.068963\nIndia,IND,2020,6.425301\nIndia,IND,2021,6.7943454\nIndia,IND,2022,7.175905\nIndia,IND,2023,7.571122\nIndia,IND,2024,7.9803705\n```\n\nAccording to this chart, what was obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in India in 1994?","response":"Reading the plotted point for 1994, obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in India was 0.95 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nIndia,IND,1990,0.6676362\nIndia,IND,1991,0.7286001\nIndia,IND,1992,0.79486006\nIndia,IND,1993,0.86687326\nIndia,IND,1994,0.94534487\nIndia,IND,1995,1.031506\nIndia,IND,1996,1.1262991\nIndia,IND,1997,1.2309127\nIndia,IND,1998,1.3457817\nIndia,IND,1999,1.4708201\nIndia,IND,2000,1.6056035\nIndia,IND,2001,1.7493144\nIndia,IND,2002,1.9023366\nIndia,IND,2003,2.0641341\nIndia,IND,2004,2.2337162\nIndia,IND,2005,2.4103959\nIndia,IND,2006,2.5954108\nIndia,IND,2007,2.7900631\nIndia,IND,2008,2.993848\nIndia,IND,2009,3.2056365\nIndia,IND,2010,3.4253933\nIndia,IND,2011,3.6551945\nIndia,IND,2012,3.8978975\nIndia,IND,2013,4.157171\nIndia,IND,2014,4.433521\nIndia,IND,2015,4.731754\nIndia,IND,2016,5.0493016\nIndia,IND,2017,5.3812838\nIndia,IND,2018,5.72167\nIndia,IND,2019,6.068963\nIndia,IND,2020,6.425301\nIndia,IND,2021,6.7943454\nIndia,IND,2022,7.175905\nIndia,IND,2023,7.571122\nIndia,IND,2024,7.9803705\n```\n\nIn which year shown does obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age reach its highest value for India?","response":"The series peaks in 2024, at 7.98 %. The lowest point shown is 1990, at 0.67 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nIndia,IND,1990,0.6676362\nIndia,IND,1991,0.7286001\nIndia,IND,1992,0.79486006\nIndia,IND,1993,0.86687326\nIndia,IND,1994,0.94534487\nIndia,IND,1995,1.031506\nIndia,IND,1996,1.1262991\nIndia,IND,1997,1.2309127\nIndia,IND,1998,1.3457817\nIndia,IND,1999,1.4708201\nIndia,IND,2000,1.6056035\nIndia,IND,2001,1.7493144\nIndia,IND,2002,1.9023366\nIndia,IND,2003,2.0641341\nIndia,IND,2004,2.2337162\nIndia,IND,2005,2.4103959\nIndia,IND,2006,2.5954108\nIndia,IND,2007,2.7900631\nIndia,IND,2008,2.993848\nIndia,IND,2009,3.2056365\nIndia,IND,2010,3.4253933\nIndia,IND,2011,3.6551945\nIndia,IND,2012,3.8978975\nIndia,IND,2013,4.157171\nIndia,IND,2014,4.433521\nIndia,IND,2015,4.731754\nIndia,IND,2016,5.0493016\nIndia,IND,2017,5.3812838\nIndia,IND,2018,5.72167\nIndia,IND,2019,6.068963\nIndia,IND,2020,6.425301\nIndia,IND,2021,6.7943454\nIndia,IND,2022,7.175905\nIndia,IND,2023,7.571122\nIndia,IND,2024,7.9803705\n```\n\nHow much did obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age change for India between 1990 and 2024?","response":"It moved from 0.67 % in 1990 to 7.98 % in 2024, a change of 7.31 % (+1095.32%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nIndia,IND,1990,0.6676362\nIndia,IND,1991,0.7286001\nIndia,IND,1992,0.79486006\nIndia,IND,1993,0.86687326\nIndia,IND,1994,0.94534487\nIndia,IND,1995,1.031506\nIndia,IND,1996,1.1262991\nIndia,IND,1997,1.2309127\nIndia,IND,1998,1.3457817\nIndia,IND,1999,1.4708201\nIndia,IND,2000,1.6056035\nIndia,IND,2001,1.7493144\nIndia,IND,2002,1.9023366\nIndia,IND,2003,2.0641341\nIndia,IND,2004,2.2337162\nIndia,IND,2005,2.4103959\nIndia,IND,2006,2.5954108\nIndia,IND,2007,2.7900631\nIndia,IND,2008,2.993848\nIndia,IND,2009,3.2056365\nIndia,IND,2010,3.4253933\nIndia,IND,2011,3.6551945\nIndia,IND,2012,3.8978975\nIndia,IND,2013,4.157171\nIndia,IND,2014,4.433521\nIndia,IND,2015,4.731754\nIndia,IND,2016,5.0493016\nIndia,IND,2017,5.3812838\nIndia,IND,2018,5.72167\nIndia,IND,2019,6.068963\nIndia,IND,2020,6.425301\nIndia,IND,2021,6.7943454\nIndia,IND,2022,7.175905\nIndia,IND,2023,7.571122\nIndia,IND,2024,7.9803705\n```\n\nWas obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in India higher in 2006 or 2019?","response":"Higher in 2019. The chart gives 2.6 % for 2006 and 6.07 % for 2019, a difference of 3.47 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nIndia,IND,1990,0.6676362\nIndia,IND,1991,0.7286001\nIndia,IND,1992,0.79486006\nIndia,IND,1993,0.86687326\nIndia,IND,1994,0.94534487\nIndia,IND,1995,1.031506\nIndia,IND,1996,1.1262991\nIndia,IND,1997,1.2309127\nIndia,IND,1998,1.3457817\nIndia,IND,1999,1.4708201\nIndia,IND,2000,1.6056035\nIndia,IND,2001,1.7493144\nIndia,IND,2002,1.9023366\nIndia,IND,2003,2.0641341\nIndia,IND,2004,2.2337162\nIndia,IND,2005,2.4103959\nIndia,IND,2006,2.5954108\nIndia,IND,2007,2.7900631\nIndia,IND,2008,2.993848\nIndia,IND,2009,3.2056365\nIndia,IND,2010,3.4253933\nIndia,IND,2011,3.6551945\nIndia,IND,2012,3.8978975\nIndia,IND,2013,4.157171\nIndia,IND,2014,4.433521\nIndia,IND,2015,4.731754\nIndia,IND,2016,5.0493016\nIndia,IND,2017,5.3812838\nIndia,IND,2018,5.72167\nIndia,IND,2019,6.068963\nIndia,IND,2020,6.425301\nIndia,IND,2021,6.7943454\nIndia,IND,2022,7.175905\nIndia,IND,2023,7.571122\nIndia,IND,2024,7.9803705\n```\n\nBased on this chart, is obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age in India rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.67 % to 7.98 %, a change of +1095.32%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nIndia,IND,1990,0.6676362\nIndia,IND,1991,0.7286001\nIndia,IND,1992,0.79486006\nIndia,IND,1993,0.86687326\nIndia,IND,1994,0.94534487\nIndia,IND,1995,1.031506\nIndia,IND,1996,1.1262991\nIndia,IND,1997,1.2309127\nIndia,IND,1998,1.3457817\nIndia,IND,1999,1.4708201\nIndia,IND,2000,1.6056035\nIndia,IND,2001,1.7493144\nIndia,IND,2002,1.9023366\nIndia,IND,2003,2.0641341\nIndia,IND,2004,2.2337162\nIndia,IND,2005,2.4103959\nIndia,IND,2006,2.5954108\nIndia,IND,2007,2.7900631\nIndia,IND,2008,2.993848\nIndia,IND,2009,3.2056365\nIndia,IND,2010,3.4253933\nIndia,IND,2011,3.6551945\nIndia,IND,2012,3.8978975\nIndia,IND,2013,4.157171\nIndia,IND,2014,4.433521\nIndia,IND,2015,4.731754\nIndia,IND,2016,5.0493016\nIndia,IND,2017,5.3812838\nIndia,IND,2018,5.72167\nIndia,IND,2019,6.068963\nIndia,IND,2020,6.425301\nIndia,IND,2021,6.7943454\nIndia,IND,2022,7.175905\nIndia,IND,2023,7.571122\nIndia,IND,2024,7.9803705\n```\n\nThis chart makes the change in obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age for India look dramatic. Is it?","response":"The values change by +1095.32%, from 0.67 % to 7.98 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Obesity among adults, BMI >= 30 kg\/m2 (crude estimate) (%) - Sex: both sexes - Age group: 18+  years of age\"\nIndia,IND,1990,0.6676362\nIndia,IND,1991,0.7286001\nIndia,IND,1992,0.79486006\nIndia,IND,1993,0.86687326\nIndia,IND,1994,0.94534487\nIndia,IND,1995,1.031506\nIndia,IND,1996,1.1262991\nIndia,IND,1997,1.2309127\nIndia,IND,1998,1.3457817\nIndia,IND,1999,1.4708201\nIndia,IND,2000,1.6056035\nIndia,IND,2001,1.7493144\nIndia,IND,2002,1.9023366\nIndia,IND,2003,2.0641341\nIndia,IND,2004,2.2337162\nIndia,IND,2005,2.4103959\nIndia,IND,2006,2.5954108\nIndia,IND,2007,2.7900631\nIndia,IND,2008,2.993848\nIndia,IND,2009,3.2056365\nIndia,IND,2010,3.4253933\nIndia,IND,2011,3.6551945\nIndia,IND,2012,3.8978975\nIndia,IND,2013,4.157171\nIndia,IND,2014,4.433521\nIndia,IND,2015,4.731754\nIndia,IND,2016,5.0493016\nIndia,IND,2017,5.3812838\nIndia,IND,2018,5.72167\nIndia,IND,2019,6.068963\nIndia,IND,2020,6.425301\nIndia,IND,2021,6.7943454\nIndia,IND,2022,7.175905\nIndia,IND,2023,7.571122\nIndia,IND,2024,7.9803705\n```\n\nWhat caused the change in obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age for India around 2024?","response":"The chart shows that the change happened: obesity among adults, bmi >= 30 kg\/m2 (crude estimate) (%) - sex: both sexes - age group: 18+  years of age moves to 7.98 % in 2024. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-adults-defined-as-obese__India__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Share of adults who are obese","source_citation":"World Health Organization - Global Health Observatory (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-adults-defined-as-obese?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nIndia,IND,1990,8.068385\nIndia,IND,1991,8.530875\nIndia,IND,1992,7.686875\nIndia,IND,1993,7.58807\nIndia,IND,1994,8.187422\nIndia,IND,1995,7.258058\nIndia,IND,1996,6.4084535\nIndia,IND,1997,6.202084\nIndia,IND,1998,6.971399\nIndia,IND,1999,6.734852\nIndia,IND,2000,6.041602\nIndia,IND,2001,5.693083\nIndia,IND,2002,5.2175255\nIndia,IND,2003,5.14373\nIndia,IND,2004,6.8866243\nIndia,IND,2005,6.3590374\nIndia,IND,2006,7.13375\nIndia,IND,2007,7.276437\nIndia,IND,2008,6.712009\nIndia,IND,2009,5.9646955\nIndia,IND,2010,6.056765\nIndia,IND,2011,6.9671354\nIndia,IND,2012,6.20846\nIndia,IND,2013,6.7499924\nIndia,IND,2014,6.8288\nIndia,IND,2015,6.3568044\nIndia,IND,2016,6.369765\nIndia,IND,2017,6.792767\nIndia,IND,2018,7.307381\nIndia,IND,2019,8.1080675\nIndia,IND,2020,8.892713\nIndia,IND,2021,8.656782\nIndia,IND,2022,9.421208\nIndia,IND,2023,8.860951\nIndia,IND,2024,9.146443\n```\n\nAccording to this chart, what was renewables in India in 2008?","response":"Reading the plotted point for 2008, renewables in India was 6.71 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nIndia,IND,1990,8.068385\nIndia,IND,1991,8.530875\nIndia,IND,1992,7.686875\nIndia,IND,1993,7.58807\nIndia,IND,1994,8.187422\nIndia,IND,1995,7.258058\nIndia,IND,1996,6.4084535\nIndia,IND,1997,6.202084\nIndia,IND,1998,6.971399\nIndia,IND,1999,6.734852\nIndia,IND,2000,6.041602\nIndia,IND,2001,5.693083\nIndia,IND,2002,5.2175255\nIndia,IND,2003,5.14373\nIndia,IND,2004,6.8866243\nIndia,IND,2005,6.3590374\nIndia,IND,2006,7.13375\nIndia,IND,2007,7.276437\nIndia,IND,2008,6.712009\nIndia,IND,2009,5.9646955\nIndia,IND,2010,6.056765\nIndia,IND,2011,6.9671354\nIndia,IND,2012,6.20846\nIndia,IND,2013,6.7499924\nIndia,IND,2014,6.8288\nIndia,IND,2015,6.3568044\nIndia,IND,2016,6.369765\nIndia,IND,2017,6.792767\nIndia,IND,2018,7.307381\nIndia,IND,2019,8.1080675\nIndia,IND,2020,8.892713\nIndia,IND,2021,8.656782\nIndia,IND,2022,9.421208\nIndia,IND,2023,8.860951\nIndia,IND,2024,9.146443\n```\n\nIn which year shown does renewables reach its highest value for India?","response":"The series peaks in 2022, at 9.42 %. The lowest point shown is 2003, at 5.14 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nIndia,IND,1990,8.068385\nIndia,IND,1991,8.530875\nIndia,IND,1992,7.686875\nIndia,IND,1993,7.58807\nIndia,IND,1994,8.187422\nIndia,IND,1995,7.258058\nIndia,IND,1996,6.4084535\nIndia,IND,1997,6.202084\nIndia,IND,1998,6.971399\nIndia,IND,1999,6.734852\nIndia,IND,2000,6.041602\nIndia,IND,2001,5.693083\nIndia,IND,2002,5.2175255\nIndia,IND,2003,5.14373\nIndia,IND,2004,6.8866243\nIndia,IND,2005,6.3590374\nIndia,IND,2006,7.13375\nIndia,IND,2007,7.276437\nIndia,IND,2008,6.712009\nIndia,IND,2009,5.9646955\nIndia,IND,2010,6.056765\nIndia,IND,2011,6.9671354\nIndia,IND,2012,6.20846\nIndia,IND,2013,6.7499924\nIndia,IND,2014,6.8288\nIndia,IND,2015,6.3568044\nIndia,IND,2016,6.369765\nIndia,IND,2017,6.792767\nIndia,IND,2018,7.307381\nIndia,IND,2019,8.1080675\nIndia,IND,2020,8.892713\nIndia,IND,2021,8.656782\nIndia,IND,2022,9.421208\nIndia,IND,2023,8.860951\nIndia,IND,2024,9.146443\n```\n\nHow much did renewables change for India between 1990 and 2024?","response":"It moved from 8.07 % in 1990 to 9.15 % in 2024, a change of 1.08 % (+13.36%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nIndia,IND,1990,8.068385\nIndia,IND,1991,8.530875\nIndia,IND,1992,7.686875\nIndia,IND,1993,7.58807\nIndia,IND,1994,8.187422\nIndia,IND,1995,7.258058\nIndia,IND,1996,6.4084535\nIndia,IND,1997,6.202084\nIndia,IND,1998,6.971399\nIndia,IND,1999,6.734852\nIndia,IND,2000,6.041602\nIndia,IND,2001,5.693083\nIndia,IND,2002,5.2175255\nIndia,IND,2003,5.14373\nIndia,IND,2004,6.8866243\nIndia,IND,2005,6.3590374\nIndia,IND,2006,7.13375\nIndia,IND,2007,7.276437\nIndia,IND,2008,6.712009\nIndia,IND,2009,5.9646955\nIndia,IND,2010,6.056765\nIndia,IND,2011,6.9671354\nIndia,IND,2012,6.20846\nIndia,IND,2013,6.7499924\nIndia,IND,2014,6.8288\nIndia,IND,2015,6.3568044\nIndia,IND,2016,6.369765\nIndia,IND,2017,6.792767\nIndia,IND,2018,7.307381\nIndia,IND,2019,8.1080675\nIndia,IND,2020,8.892713\nIndia,IND,2021,8.656782\nIndia,IND,2022,9.421208\nIndia,IND,2023,8.860951\nIndia,IND,2024,9.146443\n```\n\nWas renewables in India higher in 2006 or 2013?","response":"Higher in 2006. The chart gives 7.13 % for 2006 and 6.75 % for 2013, a difference of 0.38 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nIndia,IND,1990,8.068385\nIndia,IND,1991,8.530875\nIndia,IND,1992,7.686875\nIndia,IND,1993,7.58807\nIndia,IND,1994,8.187422\nIndia,IND,1995,7.258058\nIndia,IND,1996,6.4084535\nIndia,IND,1997,6.202084\nIndia,IND,1998,6.971399\nIndia,IND,1999,6.734852\nIndia,IND,2000,6.041602\nIndia,IND,2001,5.693083\nIndia,IND,2002,5.2175255\nIndia,IND,2003,5.14373\nIndia,IND,2004,6.8866243\nIndia,IND,2005,6.3590374\nIndia,IND,2006,7.13375\nIndia,IND,2007,7.276437\nIndia,IND,2008,6.712009\nIndia,IND,2009,5.9646955\nIndia,IND,2010,6.056765\nIndia,IND,2011,6.9671354\nIndia,IND,2012,6.20846\nIndia,IND,2013,6.7499924\nIndia,IND,2014,6.8288\nIndia,IND,2015,6.3568044\nIndia,IND,2016,6.369765\nIndia,IND,2017,6.792767\nIndia,IND,2018,7.307381\nIndia,IND,2019,8.1080675\nIndia,IND,2020,8.892713\nIndia,IND,2021,8.656782\nIndia,IND,2022,9.421208\nIndia,IND,2023,8.860951\nIndia,IND,2024,9.146443\n```\n\nAccording to this chart, what was renewables in India in 2008?","response":"Reading the plotted point for 2008, renewables in India was 6.71 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nIndia,IND,1990,8.068385\nIndia,IND,1991,8.530875\nIndia,IND,1992,7.686875\nIndia,IND,1993,7.58807\nIndia,IND,1994,8.187422\nIndia,IND,1995,7.258058\nIndia,IND,1996,6.4084535\nIndia,IND,1997,6.202084\nIndia,IND,1998,6.971399\nIndia,IND,1999,6.734852\nIndia,IND,2000,6.041602\nIndia,IND,2001,5.693083\nIndia,IND,2002,5.2175255\nIndia,IND,2003,5.14373\nIndia,IND,2004,6.8866243\nIndia,IND,2005,6.3590374\nIndia,IND,2006,7.13375\nIndia,IND,2007,7.276437\nIndia,IND,2008,6.712009\nIndia,IND,2009,5.9646955\nIndia,IND,2010,6.056765\nIndia,IND,2011,6.9671354\nIndia,IND,2012,6.20846\nIndia,IND,2013,6.7499924\nIndia,IND,2014,6.8288\nIndia,IND,2015,6.3568044\nIndia,IND,2016,6.369765\nIndia,IND,2017,6.792767\nIndia,IND,2018,7.307381\nIndia,IND,2019,8.1080675\nIndia,IND,2020,8.892713\nIndia,IND,2021,8.656782\nIndia,IND,2022,9.421208\nIndia,IND,2023,8.860951\nIndia,IND,2024,9.146443\n```\n\nIn which year shown does renewables reach its highest value for India?","response":"The series peaks in 2022, at 9.42 %. The lowest point shown is 2003, at 5.14 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nIndia,IND,1990,8.068385\nIndia,IND,1991,8.530875\nIndia,IND,1992,7.686875\nIndia,IND,1993,7.58807\nIndia,IND,1994,8.187422\nIndia,IND,1995,7.258058\nIndia,IND,1996,6.4084535\nIndia,IND,1997,6.202084\nIndia,IND,1998,6.971399\nIndia,IND,1999,6.734852\nIndia,IND,2000,6.041602\nIndia,IND,2001,5.693083\nIndia,IND,2002,5.2175255\nIndia,IND,2003,5.14373\nIndia,IND,2004,6.8866243\nIndia,IND,2005,6.3590374\nIndia,IND,2006,7.13375\nIndia,IND,2007,7.276437\nIndia,IND,2008,6.712009\nIndia,IND,2009,5.9646955\nIndia,IND,2010,6.056765\nIndia,IND,2011,6.9671354\nIndia,IND,2012,6.20846\nIndia,IND,2013,6.7499924\nIndia,IND,2014,6.8288\nIndia,IND,2015,6.3568044\nIndia,IND,2016,6.369765\nIndia,IND,2017,6.792767\nIndia,IND,2018,7.307381\nIndia,IND,2019,8.1080675\nIndia,IND,2020,8.892713\nIndia,IND,2021,8.656782\nIndia,IND,2022,9.421208\nIndia,IND,2023,8.860951\nIndia,IND,2024,9.146443\n```\n\nHow much did renewables change for India between 1990 and 2024?","response":"It moved from 8.07 % in 1990 to 9.15 % in 2024, a change of 1.08 % (+13.36%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nIndia,IND,1990,8.068385\nIndia,IND,1991,8.530875\nIndia,IND,1992,7.686875\nIndia,IND,1993,7.58807\nIndia,IND,1994,8.187422\nIndia,IND,1995,7.258058\nIndia,IND,1996,6.4084535\nIndia,IND,1997,6.202084\nIndia,IND,1998,6.971399\nIndia,IND,1999,6.734852\nIndia,IND,2000,6.041602\nIndia,IND,2001,5.693083\nIndia,IND,2002,5.2175255\nIndia,IND,2003,5.14373\nIndia,IND,2004,6.8866243\nIndia,IND,2005,6.3590374\nIndia,IND,2006,7.13375\nIndia,IND,2007,7.276437\nIndia,IND,2008,6.712009\nIndia,IND,2009,5.9646955\nIndia,IND,2010,6.056765\nIndia,IND,2011,6.9671354\nIndia,IND,2012,6.20846\nIndia,IND,2013,6.7499924\nIndia,IND,2014,6.8288\nIndia,IND,2015,6.3568044\nIndia,IND,2016,6.369765\nIndia,IND,2017,6.792767\nIndia,IND,2018,7.307381\nIndia,IND,2019,8.1080675\nIndia,IND,2020,8.892713\nIndia,IND,2021,8.656782\nIndia,IND,2022,9.421208\nIndia,IND,2023,8.860951\nIndia,IND,2024,9.146443\n```\n\nWas renewables in India higher in 2006 or 2013?","response":"Higher in 2006. The chart gives 7.13 % for 2006 and 6.75 % for 2013, a difference of 0.38 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nIndia,IND,1990,8.068385\nIndia,IND,1991,8.530875\nIndia,IND,1992,7.686875\nIndia,IND,1993,7.58807\nIndia,IND,1994,8.187422\nIndia,IND,1995,7.258058\nIndia,IND,1996,6.4084535\nIndia,IND,1997,6.202084\nIndia,IND,1998,6.971399\nIndia,IND,1999,6.734852\nIndia,IND,2000,6.041602\nIndia,IND,2001,5.693083\nIndia,IND,2002,5.2175255\nIndia,IND,2003,5.14373\nIndia,IND,2004,6.8866243\nIndia,IND,2005,6.3590374\nIndia,IND,2006,7.13375\nIndia,IND,2007,7.276437\nIndia,IND,2008,6.712009\nIndia,IND,2009,5.9646955\nIndia,IND,2010,6.056765\nIndia,IND,2011,6.9671354\nIndia,IND,2012,6.20846\nIndia,IND,2013,6.7499924\nIndia,IND,2014,6.8288\nIndia,IND,2015,6.3568044\nIndia,IND,2016,6.369765\nIndia,IND,2017,6.792767\nIndia,IND,2018,7.307381\nIndia,IND,2019,8.1080675\nIndia,IND,2020,8.892713\nIndia,IND,2021,8.656782\nIndia,IND,2022,9.421208\nIndia,IND,2023,8.860951\nIndia,IND,2024,9.146443\n```\n\nBased on this chart, is renewables in India rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 8.07 % to 9.15 %, a change of +13.36%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nIndia,IND,1990,8.068385\nIndia,IND,1991,8.530875\nIndia,IND,1992,7.686875\nIndia,IND,1993,7.58807\nIndia,IND,1994,8.187422\nIndia,IND,1995,7.258058\nIndia,IND,1996,6.4084535\nIndia,IND,1997,6.202084\nIndia,IND,1998,6.971399\nIndia,IND,1999,6.734852\nIndia,IND,2000,6.041602\nIndia,IND,2001,5.693083\nIndia,IND,2002,5.2175255\nIndia,IND,2003,5.14373\nIndia,IND,2004,6.8866243\nIndia,IND,2005,6.3590374\nIndia,IND,2006,7.13375\nIndia,IND,2007,7.276437\nIndia,IND,2008,6.712009\nIndia,IND,2009,5.9646955\nIndia,IND,2010,6.056765\nIndia,IND,2011,6.9671354\nIndia,IND,2012,6.20846\nIndia,IND,2013,6.7499924\nIndia,IND,2014,6.8288\nIndia,IND,2015,6.3568044\nIndia,IND,2016,6.369765\nIndia,IND,2017,6.792767\nIndia,IND,2018,7.307381\nIndia,IND,2019,8.1080675\nIndia,IND,2020,8.892713\nIndia,IND,2021,8.656782\nIndia,IND,2022,9.421208\nIndia,IND,2023,8.860951\nIndia,IND,2024,9.146443\n```\n\nThis chart makes the change in renewables for India look dramatic. Is it?","response":"The values change by +13.36%, from 8.07 % to 9.15 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nIndia,IND,1994,8.187422\nIndia,IND,1995,7.258058\nIndia,IND,1996,6.4084535\nIndia,IND,1997,6.202084\nIndia,IND,1998,6.971399\nIndia,IND,1999,6.734852\nIndia,IND,2000,6.041602\nIndia,IND,2001,5.693083\nIndia,IND,2002,5.2175255\n```\n\nWhat does this chart suggest about the long-run direction of renewables in India?","response":"Within the window shown (1994-2002) the series moves -36.27%, but that window runs against the longer record. Across the full series (1990-2024) the change is +13.36%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nIndia,IND,1990,8.068385\nIndia,IND,1991,8.530875\nIndia,IND,1992,7.686875\nIndia,IND,1993,7.58807\nIndia,IND,1994,8.187422\nIndia,IND,1995,7.258058\nIndia,IND,1996,6.4084535\nIndia,IND,1997,6.202084\nIndia,IND,1998,6.971399\nIndia,IND,1999,6.734852\nIndia,IND,2000,6.041602\nIndia,IND,2001,5.693083\nIndia,IND,2002,5.2175255\nIndia,IND,2003,5.14373\nIndia,IND,2004,6.8866243\nIndia,IND,2005,6.3590374\nIndia,IND,2006,7.13375\nIndia,IND,2007,7.276437\nIndia,IND,2008,6.712009\nIndia,IND,2009,5.9646955\nIndia,IND,2010,6.056765\nIndia,IND,2011,6.9671354\nIndia,IND,2012,6.20846\nIndia,IND,2013,6.7499924\nIndia,IND,2014,6.8288\nIndia,IND,2015,6.3568044\nIndia,IND,2016,6.369765\nIndia,IND,2017,6.792767\nIndia,IND,2018,7.307381\nIndia,IND,2019,8.1080675\nIndia,IND,2020,8.892713\nIndia,IND,2021,8.656782\nIndia,IND,2022,9.421208\nIndia,IND,2023,8.860951\nIndia,IND,2024,9.146443\n```\n\nHow does India compare with Viet Nam on this measure?","response":"This chart covers India only, so Viet Nam is not plotted and I cannot compare them from it. The chart does support statements about India on its own: the series runs from 8.07 % in 1990 to 9.15 % in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__India__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nChina,CHN,1990,4.450452\nChina,CHN,1991,4.168098\nChina,CHN,1992,4.1569242\nChina,CHN,1993,4.4829965\nChina,CHN,1994,4.667642\nChina,CHN,1995,5.2390656\nChina,CHN,1996,4.848928\nChina,CHN,1997,5.0568953\nChina,CHN,1998,5.1190677\nChina,CHN,1999,4.8925734\nChina,CHN,2000,5.3356876\nChina,CHN,2001,6.2514067\nChina,CHN,2002,5.921867\nChina,CHN,2003,5.001339\nChina,CHN,2004,5.289435\nChina,CHN,2005,5.2387414\nChina,CHN,2006,5.266756\nChina,CHN,2007,5.4065294\nChina,CHN,2008,6.8724213\nChina,CHN,2009,6.559855\nChina,CHN,2010,7.1947036\nChina,CHN,2011,6.6967645\nChina,CHN,2012,8.06756\nChina,CHN,2013,8.473828\nChina,CHN,2014,9.689675\nChina,CHN,2015,10.27758\nChina,CHN,2016,11.113145\nChina,CHN,2017,11.665639\nChina,CHN,2018,12.224382\nChina,CHN,2019,12.785955\nChina,CHN,2020,13.395745\nChina,CHN,2021,14.195035\nChina,CHN,2022,15.217977\nChina,CHN,2023,15.505326\nChina,CHN,2024,17.472376\n```\n\nAccording to this chart, what was renewables in China in 2001?","response":"Reading the plotted point for 2001, renewables in China was 6.25 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nChina,CHN,1990,4.450452\nChina,CHN,1991,4.168098\nChina,CHN,1992,4.1569242\nChina,CHN,1993,4.4829965\nChina,CHN,1994,4.667642\nChina,CHN,1995,5.2390656\nChina,CHN,1996,4.848928\nChina,CHN,1997,5.0568953\nChina,CHN,1998,5.1190677\nChina,CHN,1999,4.8925734\nChina,CHN,2000,5.3356876\nChina,CHN,2001,6.2514067\nChina,CHN,2002,5.921867\nChina,CHN,2003,5.001339\nChina,CHN,2004,5.289435\nChina,CHN,2005,5.2387414\nChina,CHN,2006,5.266756\nChina,CHN,2007,5.4065294\nChina,CHN,2008,6.8724213\nChina,CHN,2009,6.559855\nChina,CHN,2010,7.1947036\nChina,CHN,2011,6.6967645\nChina,CHN,2012,8.06756\nChina,CHN,2013,8.473828\nChina,CHN,2014,9.689675\nChina,CHN,2015,10.27758\nChina,CHN,2016,11.113145\nChina,CHN,2017,11.665639\nChina,CHN,2018,12.224382\nChina,CHN,2019,12.785955\nChina,CHN,2020,13.395745\nChina,CHN,2021,14.195035\nChina,CHN,2022,15.217977\nChina,CHN,2023,15.505326\nChina,CHN,2024,17.472376\n```\n\nIn which year shown does renewables reach its highest value for China?","response":"The series peaks in 2024, at 17.47 %. The lowest point shown is 1992, at 4.16 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nChina,CHN,1990,4.450452\nChina,CHN,1991,4.168098\nChina,CHN,1992,4.1569242\nChina,CHN,1993,4.4829965\nChina,CHN,1994,4.667642\nChina,CHN,1995,5.2390656\nChina,CHN,1996,4.848928\nChina,CHN,1997,5.0568953\nChina,CHN,1998,5.1190677\nChina,CHN,1999,4.8925734\nChina,CHN,2000,5.3356876\nChina,CHN,2001,6.2514067\nChina,CHN,2002,5.921867\nChina,CHN,2003,5.001339\nChina,CHN,2004,5.289435\nChina,CHN,2005,5.2387414\nChina,CHN,2006,5.266756\nChina,CHN,2007,5.4065294\nChina,CHN,2008,6.8724213\nChina,CHN,2009,6.559855\nChina,CHN,2010,7.1947036\nChina,CHN,2011,6.6967645\nChina,CHN,2012,8.06756\nChina,CHN,2013,8.473828\nChina,CHN,2014,9.689675\nChina,CHN,2015,10.27758\nChina,CHN,2016,11.113145\nChina,CHN,2017,11.665639\nChina,CHN,2018,12.224382\nChina,CHN,2019,12.785955\nChina,CHN,2020,13.395745\nChina,CHN,2021,14.195035\nChina,CHN,2022,15.217977\nChina,CHN,2023,15.505326\nChina,CHN,2024,17.472376\n```\n\nHow much did renewables change for China between 1990 and 2024?","response":"It moved from 4.45 % in 1990 to 17.47 % in 2024, a change of 13.02 % (+292.60%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nChina,CHN,1990,4.450452\nChina,CHN,1991,4.168098\nChina,CHN,1992,4.1569242\nChina,CHN,1993,4.4829965\nChina,CHN,1994,4.667642\nChina,CHN,1995,5.2390656\nChina,CHN,1996,4.848928\nChina,CHN,1997,5.0568953\nChina,CHN,1998,5.1190677\nChina,CHN,1999,4.8925734\nChina,CHN,2000,5.3356876\nChina,CHN,2001,6.2514067\nChina,CHN,2002,5.921867\nChina,CHN,2003,5.001339\nChina,CHN,2004,5.289435\nChina,CHN,2005,5.2387414\nChina,CHN,2006,5.266756\nChina,CHN,2007,5.4065294\nChina,CHN,2008,6.8724213\nChina,CHN,2009,6.559855\nChina,CHN,2010,7.1947036\nChina,CHN,2011,6.6967645\nChina,CHN,2012,8.06756\nChina,CHN,2013,8.473828\nChina,CHN,2014,9.689675\nChina,CHN,2015,10.27758\nChina,CHN,2016,11.113145\nChina,CHN,2017,11.665639\nChina,CHN,2018,12.224382\nChina,CHN,2019,12.785955\nChina,CHN,2020,13.395745\nChina,CHN,2021,14.195035\nChina,CHN,2022,15.217977\nChina,CHN,2023,15.505326\nChina,CHN,2024,17.472376\n```\n\nWas renewables in China higher in 2003 or 2013?","response":"Higher in 2013. The chart gives 5 % for 2003 and 8.47 % for 2013, a difference of 3.47 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nChina,CHN,1990,4.450452\nChina,CHN,1991,4.168098\nChina,CHN,1992,4.1569242\nChina,CHN,1993,4.4829965\nChina,CHN,1994,4.667642\nChina,CHN,1995,5.2390656\nChina,CHN,1996,4.848928\nChina,CHN,1997,5.0568953\nChina,CHN,1998,5.1190677\nChina,CHN,1999,4.8925734\nChina,CHN,2000,5.3356876\nChina,CHN,2001,6.2514067\nChina,CHN,2002,5.921867\nChina,CHN,2003,5.001339\nChina,CHN,2004,5.289435\nChina,CHN,2005,5.2387414\nChina,CHN,2006,5.266756\nChina,CHN,2007,5.4065294\nChina,CHN,2008,6.8724213\nChina,CHN,2009,6.559855\nChina,CHN,2010,7.1947036\nChina,CHN,2011,6.6967645\nChina,CHN,2012,8.06756\nChina,CHN,2013,8.473828\nChina,CHN,2014,9.689675\nChina,CHN,2015,10.27758\nChina,CHN,2016,11.113145\nChina,CHN,2017,11.665639\nChina,CHN,2018,12.224382\nChina,CHN,2019,12.785955\nChina,CHN,2020,13.395745\nChina,CHN,2021,14.195035\nChina,CHN,2022,15.217977\nChina,CHN,2023,15.505326\nChina,CHN,2024,17.472376\n```\n\nAccording to this chart, what was renewables in China in 2001?","response":"Reading the plotted point for 2001, renewables in China was 6.25 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nChina,CHN,1990,4.450452\nChina,CHN,1991,4.168098\nChina,CHN,1992,4.1569242\nChina,CHN,1993,4.4829965\nChina,CHN,1994,4.667642\nChina,CHN,1995,5.2390656\nChina,CHN,1996,4.848928\nChina,CHN,1997,5.0568953\nChina,CHN,1998,5.1190677\nChina,CHN,1999,4.8925734\nChina,CHN,2000,5.3356876\nChina,CHN,2001,6.2514067\nChina,CHN,2002,5.921867\nChina,CHN,2003,5.001339\nChina,CHN,2004,5.289435\nChina,CHN,2005,5.2387414\nChina,CHN,2006,5.266756\nChina,CHN,2007,5.4065294\nChina,CHN,2008,6.8724213\nChina,CHN,2009,6.559855\nChina,CHN,2010,7.1947036\nChina,CHN,2011,6.6967645\nChina,CHN,2012,8.06756\nChina,CHN,2013,8.473828\nChina,CHN,2014,9.689675\nChina,CHN,2015,10.27758\nChina,CHN,2016,11.113145\nChina,CHN,2017,11.665639\nChina,CHN,2018,12.224382\nChina,CHN,2019,12.785955\nChina,CHN,2020,13.395745\nChina,CHN,2021,14.195035\nChina,CHN,2022,15.217977\nChina,CHN,2023,15.505326\nChina,CHN,2024,17.472376\n```\n\nIn which year shown does renewables reach its highest value for China?","response":"The series peaks in 2024, at 17.47 %. The lowest point shown is 1992, at 4.16 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nChina,CHN,1990,4.450452\nChina,CHN,1991,4.168098\nChina,CHN,1992,4.1569242\nChina,CHN,1993,4.4829965\nChina,CHN,1994,4.667642\nChina,CHN,1995,5.2390656\nChina,CHN,1996,4.848928\nChina,CHN,1997,5.0568953\nChina,CHN,1998,5.1190677\nChina,CHN,1999,4.8925734\nChina,CHN,2000,5.3356876\nChina,CHN,2001,6.2514067\nChina,CHN,2002,5.921867\nChina,CHN,2003,5.001339\nChina,CHN,2004,5.289435\nChina,CHN,2005,5.2387414\nChina,CHN,2006,5.266756\nChina,CHN,2007,5.4065294\nChina,CHN,2008,6.8724213\nChina,CHN,2009,6.559855\nChina,CHN,2010,7.1947036\nChina,CHN,2011,6.6967645\nChina,CHN,2012,8.06756\nChina,CHN,2013,8.473828\nChina,CHN,2014,9.689675\nChina,CHN,2015,10.27758\nChina,CHN,2016,11.113145\nChina,CHN,2017,11.665639\nChina,CHN,2018,12.224382\nChina,CHN,2019,12.785955\nChina,CHN,2020,13.395745\nChina,CHN,2021,14.195035\nChina,CHN,2022,15.217977\nChina,CHN,2023,15.505326\nChina,CHN,2024,17.472376\n```\n\nHow much did renewables change for China between 1990 and 2024?","response":"It moved from 4.45 % in 1990 to 17.47 % in 2024, a change of 13.02 % (+292.60%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nChina,CHN,1990,4.450452\nChina,CHN,1991,4.168098\nChina,CHN,1992,4.1569242\nChina,CHN,1993,4.4829965\nChina,CHN,1994,4.667642\nChina,CHN,1995,5.2390656\nChina,CHN,1996,4.848928\nChina,CHN,1997,5.0568953\nChina,CHN,1998,5.1190677\nChina,CHN,1999,4.8925734\nChina,CHN,2000,5.3356876\nChina,CHN,2001,6.2514067\nChina,CHN,2002,5.921867\nChina,CHN,2003,5.001339\nChina,CHN,2004,5.289435\nChina,CHN,2005,5.2387414\nChina,CHN,2006,5.266756\nChina,CHN,2007,5.4065294\nChina,CHN,2008,6.8724213\nChina,CHN,2009,6.559855\nChina,CHN,2010,7.1947036\nChina,CHN,2011,6.6967645\nChina,CHN,2012,8.06756\nChina,CHN,2013,8.473828\nChina,CHN,2014,9.689675\nChina,CHN,2015,10.27758\nChina,CHN,2016,11.113145\nChina,CHN,2017,11.665639\nChina,CHN,2018,12.224382\nChina,CHN,2019,12.785955\nChina,CHN,2020,13.395745\nChina,CHN,2021,14.195035\nChina,CHN,2022,15.217977\nChina,CHN,2023,15.505326\nChina,CHN,2024,17.472376\n```\n\nWas renewables in China higher in 2003 or 2013?","response":"Higher in 2013. The chart gives 5 % for 2003 and 8.47 % for 2013, a difference of 3.47 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nChina,CHN,1990,4.450452\nChina,CHN,1991,4.168098\nChina,CHN,1992,4.1569242\nChina,CHN,1993,4.4829965\nChina,CHN,1994,4.667642\nChina,CHN,1995,5.2390656\nChina,CHN,1996,4.848928\nChina,CHN,1997,5.0568953\nChina,CHN,1998,5.1190677\nChina,CHN,1999,4.8925734\nChina,CHN,2000,5.3356876\nChina,CHN,2001,6.2514067\nChina,CHN,2002,5.921867\nChina,CHN,2003,5.001339\nChina,CHN,2004,5.289435\nChina,CHN,2005,5.2387414\nChina,CHN,2006,5.266756\nChina,CHN,2007,5.4065294\nChina,CHN,2008,6.8724213\nChina,CHN,2009,6.559855\nChina,CHN,2010,7.1947036\nChina,CHN,2011,6.6967645\nChina,CHN,2012,8.06756\nChina,CHN,2013,8.473828\nChina,CHN,2014,9.689675\nChina,CHN,2015,10.27758\nChina,CHN,2016,11.113145\nChina,CHN,2017,11.665639\nChina,CHN,2018,12.224382\nChina,CHN,2019,12.785955\nChina,CHN,2020,13.395745\nChina,CHN,2021,14.195035\nChina,CHN,2022,15.217977\nChina,CHN,2023,15.505326\nChina,CHN,2024,17.472376\n```\n\nBased on this chart, is renewables in China rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 4.45 % to 17.47 %, a change of +292.60%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nChina,CHN,1990,4.450452\nChina,CHN,1991,4.168098\nChina,CHN,1992,4.1569242\nChina,CHN,1993,4.4829965\nChina,CHN,1994,4.667642\nChina,CHN,1995,5.2390656\nChina,CHN,1996,4.848928\nChina,CHN,1997,5.0568953\nChina,CHN,1998,5.1190677\nChina,CHN,1999,4.8925734\nChina,CHN,2000,5.3356876\nChina,CHN,2001,6.2514067\nChina,CHN,2002,5.921867\nChina,CHN,2003,5.001339\nChina,CHN,2004,5.289435\nChina,CHN,2005,5.2387414\nChina,CHN,2006,5.266756\nChina,CHN,2007,5.4065294\nChina,CHN,2008,6.8724213\nChina,CHN,2009,6.559855\nChina,CHN,2010,7.1947036\nChina,CHN,2011,6.6967645\nChina,CHN,2012,8.06756\nChina,CHN,2013,8.473828\nChina,CHN,2014,9.689675\nChina,CHN,2015,10.27758\nChina,CHN,2016,11.113145\nChina,CHN,2017,11.665639\nChina,CHN,2018,12.224382\nChina,CHN,2019,12.785955\nChina,CHN,2020,13.395745\nChina,CHN,2021,14.195035\nChina,CHN,2022,15.217977\nChina,CHN,2023,15.505326\nChina,CHN,2024,17.472376\n```\n\nWhat was renewables for China in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 4.45 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__China__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nBrazil,BRA,1990,43.2668\nBrazil,BRA,1991,43.701324\nBrazil,BRA,1992,44.017376\nBrazil,BRA,1993,44.21697\nBrazil,BRA,1994,43.932064\nBrazil,BRA,1995,43.3731\nBrazil,BRA,1996,42.834415\nBrazil,BRA,1997,42.147533\nBrazil,BRA,1998,42.0326\nBrazil,BRA,1999,41.78563\nBrazil,BRA,2000,40.939064\nBrazil,BRA,2001,37.18076\nBrazil,BRA,2002,38.819298\nBrazil,BRA,2003,40.449265\nBrazil,BRA,2004,40.44407\nBrazil,BRA,2005,41.269844\nBrazil,BRA,2006,41.14651\nBrazil,BRA,2007,42.28473\nBrazil,BRA,2008,41.389286\nBrazil,BRA,2009,44.156986\nBrazil,BRA,2010,42.505264\nBrazil,BRA,2011,42.377716\nBrazil,BRA,2012,40.25937\nBrazil,BRA,2013,38.40652\nBrazil,BRA,2014,37.56644\nBrazil,BRA,2015,38.708134\nBrazil,BRA,2016,41.53582\nBrazil,BRA,2017,41.293602\nBrazil,BRA,2018,44.12647\nBrazil,BRA,2019,45.177975\nBrazil,BRA,2020,47.115757\nBrazil,BRA,2021,43.67331\nBrazil,BRA,2022,47.659924\nBrazil,BRA,2023,48.949894\nBrazil,BRA,2024,49.61598\n```\n\nAccording to this chart, what was renewables in Brazil in 2019?","response":"Reading the plotted point for 2019, renewables in Brazil was 45.18 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nBrazil,BRA,1990,43.2668\nBrazil,BRA,1991,43.701324\nBrazil,BRA,1992,44.017376\nBrazil,BRA,1993,44.21697\nBrazil,BRA,1994,43.932064\nBrazil,BRA,1995,43.3731\nBrazil,BRA,1996,42.834415\nBrazil,BRA,1997,42.147533\nBrazil,BRA,1998,42.0326\nBrazil,BRA,1999,41.78563\nBrazil,BRA,2000,40.939064\nBrazil,BRA,2001,37.18076\nBrazil,BRA,2002,38.819298\nBrazil,BRA,2003,40.449265\nBrazil,BRA,2004,40.44407\nBrazil,BRA,2005,41.269844\nBrazil,BRA,2006,41.14651\nBrazil,BRA,2007,42.28473\nBrazil,BRA,2008,41.389286\nBrazil,BRA,2009,44.156986\nBrazil,BRA,2010,42.505264\nBrazil,BRA,2011,42.377716\nBrazil,BRA,2012,40.25937\nBrazil,BRA,2013,38.40652\nBrazil,BRA,2014,37.56644\nBrazil,BRA,2015,38.708134\nBrazil,BRA,2016,41.53582\nBrazil,BRA,2017,41.293602\nBrazil,BRA,2018,44.12647\nBrazil,BRA,2019,45.177975\nBrazil,BRA,2020,47.115757\nBrazil,BRA,2021,43.67331\nBrazil,BRA,2022,47.659924\nBrazil,BRA,2023,48.949894\nBrazil,BRA,2024,49.61598\n```\n\nIn which year shown does renewables reach its highest value for Brazil?","response":"The series peaks in 2024, at 49.62 %. The lowest point shown is 2001, at 37.18 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nBrazil,BRA,1990,43.2668\nBrazil,BRA,1991,43.701324\nBrazil,BRA,1992,44.017376\nBrazil,BRA,1993,44.21697\nBrazil,BRA,1994,43.932064\nBrazil,BRA,1995,43.3731\nBrazil,BRA,1996,42.834415\nBrazil,BRA,1997,42.147533\nBrazil,BRA,1998,42.0326\nBrazil,BRA,1999,41.78563\nBrazil,BRA,2000,40.939064\nBrazil,BRA,2001,37.18076\nBrazil,BRA,2002,38.819298\nBrazil,BRA,2003,40.449265\nBrazil,BRA,2004,40.44407\nBrazil,BRA,2005,41.269844\nBrazil,BRA,2006,41.14651\nBrazil,BRA,2007,42.28473\nBrazil,BRA,2008,41.389286\nBrazil,BRA,2009,44.156986\nBrazil,BRA,2010,42.505264\nBrazil,BRA,2011,42.377716\nBrazil,BRA,2012,40.25937\nBrazil,BRA,2013,38.40652\nBrazil,BRA,2014,37.56644\nBrazil,BRA,2015,38.708134\nBrazil,BRA,2016,41.53582\nBrazil,BRA,2017,41.293602\nBrazil,BRA,2018,44.12647\nBrazil,BRA,2019,45.177975\nBrazil,BRA,2020,47.115757\nBrazil,BRA,2021,43.67331\nBrazil,BRA,2022,47.659924\nBrazil,BRA,2023,48.949894\nBrazil,BRA,2024,49.61598\n```\n\nHow much did renewables change for Brazil between 1990 and 2024?","response":"It moved from 43.27 % in 1990 to 49.62 % in 2024, a change of 6.35 % (+14.67%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nBrazil,BRA,1990,43.2668\nBrazil,BRA,1991,43.701324\nBrazil,BRA,1992,44.017376\nBrazil,BRA,1993,44.21697\nBrazil,BRA,1994,43.932064\nBrazil,BRA,1995,43.3731\nBrazil,BRA,1996,42.834415\nBrazil,BRA,1997,42.147533\nBrazil,BRA,1998,42.0326\nBrazil,BRA,1999,41.78563\nBrazil,BRA,2000,40.939064\nBrazil,BRA,2001,37.18076\nBrazil,BRA,2002,38.819298\nBrazil,BRA,2003,40.449265\nBrazil,BRA,2004,40.44407\nBrazil,BRA,2005,41.269844\nBrazil,BRA,2006,41.14651\nBrazil,BRA,2007,42.28473\nBrazil,BRA,2008,41.389286\nBrazil,BRA,2009,44.156986\nBrazil,BRA,2010,42.505264\nBrazil,BRA,2011,42.377716\nBrazil,BRA,2012,40.25937\nBrazil,BRA,2013,38.40652\nBrazil,BRA,2014,37.56644\nBrazil,BRA,2015,38.708134\nBrazil,BRA,2016,41.53582\nBrazil,BRA,2017,41.293602\nBrazil,BRA,2018,44.12647\nBrazil,BRA,2019,45.177975\nBrazil,BRA,2020,47.115757\nBrazil,BRA,2021,43.67331\nBrazil,BRA,2022,47.659924\nBrazil,BRA,2023,48.949894\nBrazil,BRA,2024,49.61598\n```\n\nWas renewables in Brazil higher in 1995 or 2023?","response":"Higher in 2023. The chart gives 43.37 % for 1995 and 48.95 % for 2023, a difference of 5.58 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nBrazil,BRA,1990,43.2668\nBrazil,BRA,1991,43.701324\nBrazil,BRA,1992,44.017376\nBrazil,BRA,1993,44.21697\nBrazil,BRA,1994,43.932064\nBrazil,BRA,1995,43.3731\nBrazil,BRA,1996,42.834415\nBrazil,BRA,1997,42.147533\nBrazil,BRA,1998,42.0326\nBrazil,BRA,1999,41.78563\nBrazil,BRA,2000,40.939064\nBrazil,BRA,2001,37.18076\nBrazil,BRA,2002,38.819298\nBrazil,BRA,2003,40.449265\nBrazil,BRA,2004,40.44407\nBrazil,BRA,2005,41.269844\nBrazil,BRA,2006,41.14651\nBrazil,BRA,2007,42.28473\nBrazil,BRA,2008,41.389286\nBrazil,BRA,2009,44.156986\nBrazil,BRA,2010,42.505264\nBrazil,BRA,2011,42.377716\nBrazil,BRA,2012,40.25937\nBrazil,BRA,2013,38.40652\nBrazil,BRA,2014,37.56644\nBrazil,BRA,2015,38.708134\nBrazil,BRA,2016,41.53582\nBrazil,BRA,2017,41.293602\nBrazil,BRA,2018,44.12647\nBrazil,BRA,2019,45.177975\nBrazil,BRA,2020,47.115757\nBrazil,BRA,2021,43.67331\nBrazil,BRA,2022,47.659924\nBrazil,BRA,2023,48.949894\nBrazil,BRA,2024,49.61598\n```\n\nAccording to this chart, what was renewables in Brazil in 2019?","response":"Reading the plotted point for 2019, renewables in Brazil was 45.18 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nBrazil,BRA,1990,43.2668\nBrazil,BRA,1991,43.701324\nBrazil,BRA,1992,44.017376\nBrazil,BRA,1993,44.21697\nBrazil,BRA,1994,43.932064\nBrazil,BRA,1995,43.3731\nBrazil,BRA,1996,42.834415\nBrazil,BRA,1997,42.147533\nBrazil,BRA,1998,42.0326\nBrazil,BRA,1999,41.78563\nBrazil,BRA,2000,40.939064\nBrazil,BRA,2001,37.18076\nBrazil,BRA,2002,38.819298\nBrazil,BRA,2003,40.449265\nBrazil,BRA,2004,40.44407\nBrazil,BRA,2005,41.269844\nBrazil,BRA,2006,41.14651\nBrazil,BRA,2007,42.28473\nBrazil,BRA,2008,41.389286\nBrazil,BRA,2009,44.156986\nBrazil,BRA,2010,42.505264\nBrazil,BRA,2011,42.377716\nBrazil,BRA,2012,40.25937\nBrazil,BRA,2013,38.40652\nBrazil,BRA,2014,37.56644\nBrazil,BRA,2015,38.708134\nBrazil,BRA,2016,41.53582\nBrazil,BRA,2017,41.293602\nBrazil,BRA,2018,44.12647\nBrazil,BRA,2019,45.177975\nBrazil,BRA,2020,47.115757\nBrazil,BRA,2021,43.67331\nBrazil,BRA,2022,47.659924\nBrazil,BRA,2023,48.949894\nBrazil,BRA,2024,49.61598\n```\n\nIn which year shown does renewables reach its highest value for Brazil?","response":"The series peaks in 2024, at 49.62 %. The lowest point shown is 2001, at 37.18 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nBrazil,BRA,1990,43.2668\nBrazil,BRA,1991,43.701324\nBrazil,BRA,1992,44.017376\nBrazil,BRA,1993,44.21697\nBrazil,BRA,1994,43.932064\nBrazil,BRA,1995,43.3731\nBrazil,BRA,1996,42.834415\nBrazil,BRA,1997,42.147533\nBrazil,BRA,1998,42.0326\nBrazil,BRA,1999,41.78563\nBrazil,BRA,2000,40.939064\nBrazil,BRA,2001,37.18076\nBrazil,BRA,2002,38.819298\nBrazil,BRA,2003,40.449265\nBrazil,BRA,2004,40.44407\nBrazil,BRA,2005,41.269844\nBrazil,BRA,2006,41.14651\nBrazil,BRA,2007,42.28473\nBrazil,BRA,2008,41.389286\nBrazil,BRA,2009,44.156986\nBrazil,BRA,2010,42.505264\nBrazil,BRA,2011,42.377716\nBrazil,BRA,2012,40.25937\nBrazil,BRA,2013,38.40652\nBrazil,BRA,2014,37.56644\nBrazil,BRA,2015,38.708134\nBrazil,BRA,2016,41.53582\nBrazil,BRA,2017,41.293602\nBrazil,BRA,2018,44.12647\nBrazil,BRA,2019,45.177975\nBrazil,BRA,2020,47.115757\nBrazil,BRA,2021,43.67331\nBrazil,BRA,2022,47.659924\nBrazil,BRA,2023,48.949894\nBrazil,BRA,2024,49.61598\n```\n\nHow much did renewables change for Brazil between 1990 and 2024?","response":"It moved from 43.27 % in 1990 to 49.62 % in 2024, a change of 6.35 % (+14.67%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nBrazil,BRA,1990,43.2668\nBrazil,BRA,1991,43.701324\nBrazil,BRA,1992,44.017376\nBrazil,BRA,1993,44.21697\nBrazil,BRA,1994,43.932064\nBrazil,BRA,1995,43.3731\nBrazil,BRA,1996,42.834415\nBrazil,BRA,1997,42.147533\nBrazil,BRA,1998,42.0326\nBrazil,BRA,1999,41.78563\nBrazil,BRA,2000,40.939064\nBrazil,BRA,2001,37.18076\nBrazil,BRA,2002,38.819298\nBrazil,BRA,2003,40.449265\nBrazil,BRA,2004,40.44407\nBrazil,BRA,2005,41.269844\nBrazil,BRA,2006,41.14651\nBrazil,BRA,2007,42.28473\nBrazil,BRA,2008,41.389286\nBrazil,BRA,2009,44.156986\nBrazil,BRA,2010,42.505264\nBrazil,BRA,2011,42.377716\nBrazil,BRA,2012,40.25937\nBrazil,BRA,2013,38.40652\nBrazil,BRA,2014,37.56644\nBrazil,BRA,2015,38.708134\nBrazil,BRA,2016,41.53582\nBrazil,BRA,2017,41.293602\nBrazil,BRA,2018,44.12647\nBrazil,BRA,2019,45.177975\nBrazil,BRA,2020,47.115757\nBrazil,BRA,2021,43.67331\nBrazil,BRA,2022,47.659924\nBrazil,BRA,2023,48.949894\nBrazil,BRA,2024,49.61598\n```\n\nWas renewables in Brazil higher in 1995 or 2023?","response":"Higher in 2023. The chart gives 43.37 % for 1995 and 48.95 % for 2023, a difference of 5.58 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nBrazil,BRA,1990,43.2668\nBrazil,BRA,1991,43.701324\nBrazil,BRA,1992,44.017376\nBrazil,BRA,1993,44.21697\nBrazil,BRA,1994,43.932064\nBrazil,BRA,1995,43.3731\nBrazil,BRA,1996,42.834415\nBrazil,BRA,1997,42.147533\nBrazil,BRA,1998,42.0326\nBrazil,BRA,1999,41.78563\nBrazil,BRA,2000,40.939064\nBrazil,BRA,2001,37.18076\nBrazil,BRA,2002,38.819298\nBrazil,BRA,2003,40.449265\nBrazil,BRA,2004,40.44407\nBrazil,BRA,2005,41.269844\nBrazil,BRA,2006,41.14651\nBrazil,BRA,2007,42.28473\nBrazil,BRA,2008,41.389286\nBrazil,BRA,2009,44.156986\nBrazil,BRA,2010,42.505264\nBrazil,BRA,2011,42.377716\nBrazil,BRA,2012,40.25937\nBrazil,BRA,2013,38.40652\nBrazil,BRA,2014,37.56644\nBrazil,BRA,2015,38.708134\nBrazil,BRA,2016,41.53582\nBrazil,BRA,2017,41.293602\nBrazil,BRA,2018,44.12647\nBrazil,BRA,2019,45.177975\nBrazil,BRA,2020,47.115757\nBrazil,BRA,2021,43.67331\nBrazil,BRA,2022,47.659924\nBrazil,BRA,2023,48.949894\nBrazil,BRA,2024,49.61598\n```\n\nThis chart appears to show renewables in Brazil rising steeply. How large is the increase actually?","response":"The plotted values run from 43.27 % to 49.62 %, so the actual change is +14.67%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 34.4675 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nBrazil,BRA,1990,43.2668\nBrazil,BRA,1991,43.701324\nBrazil,BRA,1992,44.017376\nBrazil,BRA,1993,44.21697\nBrazil,BRA,1994,43.932064\nBrazil,BRA,1995,43.3731\nBrazil,BRA,1996,42.834415\nBrazil,BRA,1997,42.147533\nBrazil,BRA,1998,42.0326\nBrazil,BRA,1999,41.78563\nBrazil,BRA,2000,40.939064\nBrazil,BRA,2001,37.18076\nBrazil,BRA,2002,38.819298\nBrazil,BRA,2003,40.449265\nBrazil,BRA,2004,40.44407\nBrazil,BRA,2005,41.269844\nBrazil,BRA,2006,41.14651\nBrazil,BRA,2007,42.28473\nBrazil,BRA,2008,41.389286\nBrazil,BRA,2009,44.156986\nBrazil,BRA,2010,42.505264\nBrazil,BRA,2011,42.377716\nBrazil,BRA,2012,40.25937\nBrazil,BRA,2013,38.40652\nBrazil,BRA,2014,37.56644\nBrazil,BRA,2015,38.708134\nBrazil,BRA,2016,41.53582\nBrazil,BRA,2017,41.293602\nBrazil,BRA,2018,44.12647\nBrazil,BRA,2019,45.177975\nBrazil,BRA,2020,47.115757\nBrazil,BRA,2021,43.67331\nBrazil,BRA,2022,47.659924\nBrazil,BRA,2023,48.949894\nBrazil,BRA,2024,49.61598\n```\n\nBased on this chart, is renewables in Brazil rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 43.27 % to 49.62 %, a change of +14.67%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nBrazil,BRA,1994,43.932064\nBrazil,BRA,1995,43.3731\nBrazil,BRA,1996,42.834415\nBrazil,BRA,1997,42.147533\nBrazil,BRA,1998,42.0326\nBrazil,BRA,1999,41.78563\nBrazil,BRA,2000,40.939064\nBrazil,BRA,2001,37.18076\nBrazil,BRA,2002,38.819298\n```\n\nWhat does this chart suggest about the long-run direction of renewables in Brazil?","response":"Within the window shown (1994-2002) the series moves -11.64%, but that window runs against the longer record. Across the full series (1990-2024) the change is +14.67%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nBrazil,BRA,1990,43.2668\nBrazil,BRA,1991,43.701324\nBrazil,BRA,1992,44.017376\nBrazil,BRA,1993,44.21697\nBrazil,BRA,1994,43.932064\nBrazil,BRA,1995,43.3731\nBrazil,BRA,1996,42.834415\nBrazil,BRA,1997,42.147533\nBrazil,BRA,1998,42.0326\nBrazil,BRA,1999,41.78563\nBrazil,BRA,2000,40.939064\nBrazil,BRA,2001,37.18076\nBrazil,BRA,2002,38.819298\nBrazil,BRA,2003,40.449265\nBrazil,BRA,2004,40.44407\nBrazil,BRA,2005,41.269844\nBrazil,BRA,2006,41.14651\nBrazil,BRA,2007,42.28473\nBrazil,BRA,2008,41.389286\nBrazil,BRA,2009,44.156986\nBrazil,BRA,2010,42.505264\nBrazil,BRA,2011,42.377716\nBrazil,BRA,2012,40.25937\nBrazil,BRA,2013,38.40652\nBrazil,BRA,2014,37.56644\nBrazil,BRA,2015,38.708134\nBrazil,BRA,2016,41.53582\nBrazil,BRA,2017,41.293602\nBrazil,BRA,2018,44.12647\nBrazil,BRA,2019,45.177975\nBrazil,BRA,2020,47.115757\nBrazil,BRA,2021,43.67331\nBrazil,BRA,2022,47.659924\nBrazil,BRA,2023,48.949894\nBrazil,BRA,2024,49.61598\n```\n\nWhat was renewables for Brazil in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 43.27 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Brazil__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nGermany,DEU,1990,1.2639512\nGermany,DEU,1991,1.2020515\nGermany,DEU,1992,1.4379585\nGermany,DEU,1993,1.4977083\nGermany,DEU,1994,1.646116\nGermany,DEU,1995,1.7878119\nGermany,DEU,1996,1.5931067\nGermany,DEU,1997,1.7087605\nGermany,DEU,1998,1.8677492\nGermany,DEU,1999,2.1120107\nGermany,DEU,2000,2.7381492\nGermany,DEU,2001,2.7976856\nGermany,DEU,2002,3.365451\nGermany,DEU,2003,3.4766617\nGermany,DEU,2004,4.315671\nGermany,DEU,2005,4.9923463\nGermany,DEU,2006,5.7970138\nGermany,DEU,2007,7.369626\nGermany,DEU,2008,7.5227284\nGermany,DEU,2009,8.146815\nGermany,DEU,2010,8.465436\nGermany,DEU,2011,10.167927\nGermany,DEU,2012,11.459871\nGermany,DEU,2013,11.603203\nGermany,DEU,2014,12.839898\nGermany,DEU,2015,14.318381\nGermany,DEU,2016,14.101188\nGermany,DEU,2017,15.3877945\nGermany,DEU,2018,16.262758\nGermany,DEU,2019,17.811209\nGermany,DEU,2020,20.017168\nGermany,DEU,2021,18.082499\nGermany,DEU,2022,20.329155\nGermany,DEU,2023,23.602962\nGermany,DEU,2024,23.968008\n```\n\nAccording to this chart, what was renewables in Germany in 2022?","response":"Reading the plotted point for 2022, renewables in Germany was 20.33 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nGermany,DEU,1990,1.2639512\nGermany,DEU,1991,1.2020515\nGermany,DEU,1992,1.4379585\nGermany,DEU,1993,1.4977083\nGermany,DEU,1994,1.646116\nGermany,DEU,1995,1.7878119\nGermany,DEU,1996,1.5931067\nGermany,DEU,1997,1.7087605\nGermany,DEU,1998,1.8677492\nGermany,DEU,1999,2.1120107\nGermany,DEU,2000,2.7381492\nGermany,DEU,2001,2.7976856\nGermany,DEU,2002,3.365451\nGermany,DEU,2003,3.4766617\nGermany,DEU,2004,4.315671\nGermany,DEU,2005,4.9923463\nGermany,DEU,2006,5.7970138\nGermany,DEU,2007,7.369626\nGermany,DEU,2008,7.5227284\nGermany,DEU,2009,8.146815\nGermany,DEU,2010,8.465436\nGermany,DEU,2011,10.167927\nGermany,DEU,2012,11.459871\nGermany,DEU,2013,11.603203\nGermany,DEU,2014,12.839898\nGermany,DEU,2015,14.318381\nGermany,DEU,2016,14.101188\nGermany,DEU,2017,15.3877945\nGermany,DEU,2018,16.262758\nGermany,DEU,2019,17.811209\nGermany,DEU,2020,20.017168\nGermany,DEU,2021,18.082499\nGermany,DEU,2022,20.329155\nGermany,DEU,2023,23.602962\nGermany,DEU,2024,23.968008\n```\n\nIn which year shown does renewables reach its highest value for Germany?","response":"The series peaks in 2024, at 23.97 %. The lowest point shown is 1991, at 1.2 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nGermany,DEU,1990,1.2639512\nGermany,DEU,1991,1.2020515\nGermany,DEU,1992,1.4379585\nGermany,DEU,1993,1.4977083\nGermany,DEU,1994,1.646116\nGermany,DEU,1995,1.7878119\nGermany,DEU,1996,1.5931067\nGermany,DEU,1997,1.7087605\nGermany,DEU,1998,1.8677492\nGermany,DEU,1999,2.1120107\nGermany,DEU,2000,2.7381492\nGermany,DEU,2001,2.7976856\nGermany,DEU,2002,3.365451\nGermany,DEU,2003,3.4766617\nGermany,DEU,2004,4.315671\nGermany,DEU,2005,4.9923463\nGermany,DEU,2006,5.7970138\nGermany,DEU,2007,7.369626\nGermany,DEU,2008,7.5227284\nGermany,DEU,2009,8.146815\nGermany,DEU,2010,8.465436\nGermany,DEU,2011,10.167927\nGermany,DEU,2012,11.459871\nGermany,DEU,2013,11.603203\nGermany,DEU,2014,12.839898\nGermany,DEU,2015,14.318381\nGermany,DEU,2016,14.101188\nGermany,DEU,2017,15.3877945\nGermany,DEU,2018,16.262758\nGermany,DEU,2019,17.811209\nGermany,DEU,2020,20.017168\nGermany,DEU,2021,18.082499\nGermany,DEU,2022,20.329155\nGermany,DEU,2023,23.602962\nGermany,DEU,2024,23.968008\n```\n\nHow much did renewables change for Germany between 1990 and 2024?","response":"It moved from 1.26 % in 1990 to 23.97 % in 2024, a change of 22.7 % (+1796.28%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nGermany,DEU,1990,1.2639512\nGermany,DEU,1991,1.2020515\nGermany,DEU,1992,1.4379585\nGermany,DEU,1993,1.4977083\nGermany,DEU,1994,1.646116\nGermany,DEU,1995,1.7878119\nGermany,DEU,1996,1.5931067\nGermany,DEU,1997,1.7087605\nGermany,DEU,1998,1.8677492\nGermany,DEU,1999,2.1120107\nGermany,DEU,2000,2.7381492\nGermany,DEU,2001,2.7976856\nGermany,DEU,2002,3.365451\nGermany,DEU,2003,3.4766617\nGermany,DEU,2004,4.315671\nGermany,DEU,2005,4.9923463\nGermany,DEU,2006,5.7970138\nGermany,DEU,2007,7.369626\nGermany,DEU,2008,7.5227284\nGermany,DEU,2009,8.146815\nGermany,DEU,2010,8.465436\nGermany,DEU,2011,10.167927\nGermany,DEU,2012,11.459871\nGermany,DEU,2013,11.603203\nGermany,DEU,2014,12.839898\nGermany,DEU,2015,14.318381\nGermany,DEU,2016,14.101188\nGermany,DEU,2017,15.3877945\nGermany,DEU,2018,16.262758\nGermany,DEU,2019,17.811209\nGermany,DEU,2020,20.017168\nGermany,DEU,2021,18.082499\nGermany,DEU,2022,20.329155\nGermany,DEU,2023,23.602962\nGermany,DEU,2024,23.968008\n```\n\nWas renewables in Germany higher in 2005 or 2010?","response":"Higher in 2010. The chart gives 4.99 % for 2005 and 8.47 % for 2010, a difference of 3.47 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nGermany,DEU,1990,1.2639512\nGermany,DEU,1991,1.2020515\nGermany,DEU,1992,1.4379585\nGermany,DEU,1993,1.4977083\nGermany,DEU,1994,1.646116\nGermany,DEU,1995,1.7878119\nGermany,DEU,1996,1.5931067\nGermany,DEU,1997,1.7087605\nGermany,DEU,1998,1.8677492\nGermany,DEU,1999,2.1120107\nGermany,DEU,2000,2.7381492\nGermany,DEU,2001,2.7976856\nGermany,DEU,2002,3.365451\nGermany,DEU,2003,3.4766617\nGermany,DEU,2004,4.315671\nGermany,DEU,2005,4.9923463\nGermany,DEU,2006,5.7970138\nGermany,DEU,2007,7.369626\nGermany,DEU,2008,7.5227284\nGermany,DEU,2009,8.146815\nGermany,DEU,2010,8.465436\nGermany,DEU,2011,10.167927\nGermany,DEU,2012,11.459871\nGermany,DEU,2013,11.603203\nGermany,DEU,2014,12.839898\nGermany,DEU,2015,14.318381\nGermany,DEU,2016,14.101188\nGermany,DEU,2017,15.3877945\nGermany,DEU,2018,16.262758\nGermany,DEU,2019,17.811209\nGermany,DEU,2020,20.017168\nGermany,DEU,2021,18.082499\nGermany,DEU,2022,20.329155\nGermany,DEU,2023,23.602962\nGermany,DEU,2024,23.968008\n```\n\nAccording to this chart, what was renewables in Germany in 2022?","response":"Reading the plotted point for 2022, renewables in Germany was 20.33 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nGermany,DEU,1990,1.2639512\nGermany,DEU,1991,1.2020515\nGermany,DEU,1992,1.4379585\nGermany,DEU,1993,1.4977083\nGermany,DEU,1994,1.646116\nGermany,DEU,1995,1.7878119\nGermany,DEU,1996,1.5931067\nGermany,DEU,1997,1.7087605\nGermany,DEU,1998,1.8677492\nGermany,DEU,1999,2.1120107\nGermany,DEU,2000,2.7381492\nGermany,DEU,2001,2.7976856\nGermany,DEU,2002,3.365451\nGermany,DEU,2003,3.4766617\nGermany,DEU,2004,4.315671\nGermany,DEU,2005,4.9923463\nGermany,DEU,2006,5.7970138\nGermany,DEU,2007,7.369626\nGermany,DEU,2008,7.5227284\nGermany,DEU,2009,8.146815\nGermany,DEU,2010,8.465436\nGermany,DEU,2011,10.167927\nGermany,DEU,2012,11.459871\nGermany,DEU,2013,11.603203\nGermany,DEU,2014,12.839898\nGermany,DEU,2015,14.318381\nGermany,DEU,2016,14.101188\nGermany,DEU,2017,15.3877945\nGermany,DEU,2018,16.262758\nGermany,DEU,2019,17.811209\nGermany,DEU,2020,20.017168\nGermany,DEU,2021,18.082499\nGermany,DEU,2022,20.329155\nGermany,DEU,2023,23.602962\nGermany,DEU,2024,23.968008\n```\n\nIn which year shown does renewables reach its highest value for Germany?","response":"The series peaks in 2024, at 23.97 %. The lowest point shown is 1991, at 1.2 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nGermany,DEU,1990,1.2639512\nGermany,DEU,1991,1.2020515\nGermany,DEU,1992,1.4379585\nGermany,DEU,1993,1.4977083\nGermany,DEU,1994,1.646116\nGermany,DEU,1995,1.7878119\nGermany,DEU,1996,1.5931067\nGermany,DEU,1997,1.7087605\nGermany,DEU,1998,1.8677492\nGermany,DEU,1999,2.1120107\nGermany,DEU,2000,2.7381492\nGermany,DEU,2001,2.7976856\nGermany,DEU,2002,3.365451\nGermany,DEU,2003,3.4766617\nGermany,DEU,2004,4.315671\nGermany,DEU,2005,4.9923463\nGermany,DEU,2006,5.7970138\nGermany,DEU,2007,7.369626\nGermany,DEU,2008,7.5227284\nGermany,DEU,2009,8.146815\nGermany,DEU,2010,8.465436\nGermany,DEU,2011,10.167927\nGermany,DEU,2012,11.459871\nGermany,DEU,2013,11.603203\nGermany,DEU,2014,12.839898\nGermany,DEU,2015,14.318381\nGermany,DEU,2016,14.101188\nGermany,DEU,2017,15.3877945\nGermany,DEU,2018,16.262758\nGermany,DEU,2019,17.811209\nGermany,DEU,2020,20.017168\nGermany,DEU,2021,18.082499\nGermany,DEU,2022,20.329155\nGermany,DEU,2023,23.602962\nGermany,DEU,2024,23.968008\n```\n\nHow much did renewables change for Germany between 1990 and 2024?","response":"It moved from 1.26 % in 1990 to 23.97 % in 2024, a change of 22.7 % (+1796.28%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nGermany,DEU,1990,1.2639512\nGermany,DEU,1991,1.2020515\nGermany,DEU,1992,1.4379585\nGermany,DEU,1993,1.4977083\nGermany,DEU,1994,1.646116\nGermany,DEU,1995,1.7878119\nGermany,DEU,1996,1.5931067\nGermany,DEU,1997,1.7087605\nGermany,DEU,1998,1.8677492\nGermany,DEU,1999,2.1120107\nGermany,DEU,2000,2.7381492\nGermany,DEU,2001,2.7976856\nGermany,DEU,2002,3.365451\nGermany,DEU,2003,3.4766617\nGermany,DEU,2004,4.315671\nGermany,DEU,2005,4.9923463\nGermany,DEU,2006,5.7970138\nGermany,DEU,2007,7.369626\nGermany,DEU,2008,7.5227284\nGermany,DEU,2009,8.146815\nGermany,DEU,2010,8.465436\nGermany,DEU,2011,10.167927\nGermany,DEU,2012,11.459871\nGermany,DEU,2013,11.603203\nGermany,DEU,2014,12.839898\nGermany,DEU,2015,14.318381\nGermany,DEU,2016,14.101188\nGermany,DEU,2017,15.3877945\nGermany,DEU,2018,16.262758\nGermany,DEU,2019,17.811209\nGermany,DEU,2020,20.017168\nGermany,DEU,2021,18.082499\nGermany,DEU,2022,20.329155\nGermany,DEU,2023,23.602962\nGermany,DEU,2024,23.968008\n```\n\nWas renewables in Germany higher in 2005 or 2010?","response":"Higher in 2010. The chart gives 4.99 % for 2005 and 8.47 % for 2010, a difference of 3.47 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nGermany,DEU,1990,1.2639512\nGermany,DEU,1991,1.2020515\nGermany,DEU,1992,1.4379585\nGermany,DEU,1993,1.4977083\nGermany,DEU,1994,1.646116\nGermany,DEU,1995,1.7878119\nGermany,DEU,1996,1.5931067\nGermany,DEU,1997,1.7087605\nGermany,DEU,1998,1.8677492\nGermany,DEU,1999,2.1120107\nGermany,DEU,2000,2.7381492\nGermany,DEU,2001,2.7976856\nGermany,DEU,2002,3.365451\nGermany,DEU,2003,3.4766617\nGermany,DEU,2004,4.315671\nGermany,DEU,2005,4.9923463\nGermany,DEU,2006,5.7970138\nGermany,DEU,2007,7.369626\nGermany,DEU,2008,7.5227284\nGermany,DEU,2009,8.146815\nGermany,DEU,2010,8.465436\nGermany,DEU,2011,10.167927\nGermany,DEU,2012,11.459871\nGermany,DEU,2013,11.603203\nGermany,DEU,2014,12.839898\nGermany,DEU,2015,14.318381\nGermany,DEU,2016,14.101188\nGermany,DEU,2017,15.3877945\nGermany,DEU,2018,16.262758\nGermany,DEU,2019,17.811209\nGermany,DEU,2020,20.017168\nGermany,DEU,2021,18.082499\nGermany,DEU,2022,20.329155\nGermany,DEU,2023,23.602962\nGermany,DEU,2024,23.968008\n```\n\nThis chart makes the change in renewables for Germany look dramatic. Is it?","response":"The values change by +1796.28%, from 1.26 % to 23.97 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Renewables\nGermany,DEU,1990,1.2639512\nGermany,DEU,1991,1.2020515\nGermany,DEU,1992,1.4379585\nGermany,DEU,1993,1.4977083\nGermany,DEU,1994,1.646116\nGermany,DEU,1995,1.7878119\nGermany,DEU,1996,1.5931067\nGermany,DEU,1997,1.7087605\nGermany,DEU,1998,1.8677492\nGermany,DEU,1999,2.1120107\nGermany,DEU,2000,2.7381492\nGermany,DEU,2001,2.7976856\nGermany,DEU,2002,3.365451\nGermany,DEU,2003,3.4766617\nGermany,DEU,2004,4.315671\nGermany,DEU,2005,4.9923463\nGermany,DEU,2006,5.7970138\nGermany,DEU,2007,7.369626\nGermany,DEU,2008,7.5227284\nGermany,DEU,2009,8.146815\nGermany,DEU,2010,8.465436\nGermany,DEU,2011,10.167927\nGermany,DEU,2012,11.459871\nGermany,DEU,2013,11.603203\nGermany,DEU,2014,12.839898\nGermany,DEU,2015,14.318381\nGermany,DEU,2016,14.101188\nGermany,DEU,2017,15.3877945\nGermany,DEU,2018,16.262758\nGermany,DEU,2019,17.811209\nGermany,DEU,2020,20.017168\nGermany,DEU,2021,18.082499\nGermany,DEU,2022,20.329155\nGermany,DEU,2023,23.602962\nGermany,DEU,2024,23.968008\n```\n\nWhat caused the change in renewables for Germany around 2023?","response":"The chart shows that the change happened: renewables moves to 23.6 % in 2023. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/renewable-share-energy__Germany__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Share of primary energy consumption from renewable sources","source_citation":"Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/renewable-share-energy?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nGermany,DEU,1990,2.5067637\nGermany,DEU,1991,1.9738225\nGermany,DEU,1992,1.8360797\nGermany,DEU,1993,1.6772598\nGermany,DEU,1994,1.5366037\nGermany,DEU,1995,1.4872725\nGermany,DEU,1996,1.4573717\nGermany,DEU,1997,1.4027076\nGermany,DEU,1998,1.381657\nGermany,DEU,1999,1.3803478\nGermany,DEU,2000,1.3442158\nGermany,DEU,2001,1.3078983\nGermany,DEU,2002,1.3134403\nGermany,DEU,2003,1.2986964\nGermany,DEU,2004,1.2507281\nGermany,DEU,2005,1.2327558\nGermany,DEU,2006,1.1789864\nGermany,DEU,2007,1.1527923\nGermany,DEU,2008,1.1890537\nGermany,DEU,2009,1.2852535\nGermany,DEU,2010,1.2421901\nGermany,DEU,2011,1.1827247\nGermany,DEU,2012,1.217738\nGermany,DEU,2013,1.1624622\nGermany,DEU,2014,1.127964\nGermany,DEU,2015,1.1149198\nGermany,DEU,2016,1.129443\nGermany,DEU,2017,1.1305821\nGermany,DEU,2018,1.1471719\nGermany,DEU,2019,1.239307\nGermany,DEU,2020,1.3555577\nGermany,DEU,2021,1.2977482\nGermany,DEU,2022,1.3360198\nGermany,DEU,2023,1.5033264\nGermany,DEU,2024,1.8385782\n```\n\nAccording to this chart, what was military expenditure (% of gdp) in Germany in 2019?","response":"Reading the plotted point for 2019, military expenditure (% of gdp) in Germany was 1.24 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nGermany,DEU,1990,2.5067637\nGermany,DEU,1991,1.9738225\nGermany,DEU,1992,1.8360797\nGermany,DEU,1993,1.6772598\nGermany,DEU,1994,1.5366037\nGermany,DEU,1995,1.4872725\nGermany,DEU,1996,1.4573717\nGermany,DEU,1997,1.4027076\nGermany,DEU,1998,1.381657\nGermany,DEU,1999,1.3803478\nGermany,DEU,2000,1.3442158\nGermany,DEU,2001,1.3078983\nGermany,DEU,2002,1.3134403\nGermany,DEU,2003,1.2986964\nGermany,DEU,2004,1.2507281\nGermany,DEU,2005,1.2327558\nGermany,DEU,2006,1.1789864\nGermany,DEU,2007,1.1527923\nGermany,DEU,2008,1.1890537\nGermany,DEU,2009,1.2852535\nGermany,DEU,2010,1.2421901\nGermany,DEU,2011,1.1827247\nGermany,DEU,2012,1.217738\nGermany,DEU,2013,1.1624622\nGermany,DEU,2014,1.127964\nGermany,DEU,2015,1.1149198\nGermany,DEU,2016,1.129443\nGermany,DEU,2017,1.1305821\nGermany,DEU,2018,1.1471719\nGermany,DEU,2019,1.239307\nGermany,DEU,2020,1.3555577\nGermany,DEU,2021,1.2977482\nGermany,DEU,2022,1.3360198\nGermany,DEU,2023,1.5033264\nGermany,DEU,2024,1.8385782\n```\n\nIn which year shown does military expenditure (% of gdp) reach its highest value for Germany?","response":"The series peaks in 1990, at 2.51 %. The lowest point shown is 2015, at 1.11 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nGermany,DEU,1990,2.5067637\nGermany,DEU,1991,1.9738225\nGermany,DEU,1992,1.8360797\nGermany,DEU,1993,1.6772598\nGermany,DEU,1994,1.5366037\nGermany,DEU,1995,1.4872725\nGermany,DEU,1996,1.4573717\nGermany,DEU,1997,1.4027076\nGermany,DEU,1998,1.381657\nGermany,DEU,1999,1.3803478\nGermany,DEU,2000,1.3442158\nGermany,DEU,2001,1.3078983\nGermany,DEU,2002,1.3134403\nGermany,DEU,2003,1.2986964\nGermany,DEU,2004,1.2507281\nGermany,DEU,2005,1.2327558\nGermany,DEU,2006,1.1789864\nGermany,DEU,2007,1.1527923\nGermany,DEU,2008,1.1890537\nGermany,DEU,2009,1.2852535\nGermany,DEU,2010,1.2421901\nGermany,DEU,2011,1.1827247\nGermany,DEU,2012,1.217738\nGermany,DEU,2013,1.1624622\nGermany,DEU,2014,1.127964\nGermany,DEU,2015,1.1149198\nGermany,DEU,2016,1.129443\nGermany,DEU,2017,1.1305821\nGermany,DEU,2018,1.1471719\nGermany,DEU,2019,1.239307\nGermany,DEU,2020,1.3555577\nGermany,DEU,2021,1.2977482\nGermany,DEU,2022,1.3360198\nGermany,DEU,2023,1.5033264\nGermany,DEU,2024,1.8385782\n```\n\nHow much did military expenditure (% of gdp) change for Germany between 1990 and 2024?","response":"It moved from 2.51 % in 1990 to 1.84 % in 2024, a change of -0.67 % (-26.66%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nGermany,DEU,1990,2.5067637\nGermany,DEU,1991,1.9738225\nGermany,DEU,1992,1.8360797\nGermany,DEU,1993,1.6772598\nGermany,DEU,1994,1.5366037\nGermany,DEU,1995,1.4872725\nGermany,DEU,1996,1.4573717\nGermany,DEU,1997,1.4027076\nGermany,DEU,1998,1.381657\nGermany,DEU,1999,1.3803478\nGermany,DEU,2000,1.3442158\nGermany,DEU,2001,1.3078983\nGermany,DEU,2002,1.3134403\nGermany,DEU,2003,1.2986964\nGermany,DEU,2004,1.2507281\nGermany,DEU,2005,1.2327558\nGermany,DEU,2006,1.1789864\nGermany,DEU,2007,1.1527923\nGermany,DEU,2008,1.1890537\nGermany,DEU,2009,1.2852535\nGermany,DEU,2010,1.2421901\nGermany,DEU,2011,1.1827247\nGermany,DEU,2012,1.217738\nGermany,DEU,2013,1.1624622\nGermany,DEU,2014,1.127964\nGermany,DEU,2015,1.1149198\nGermany,DEU,2016,1.129443\nGermany,DEU,2017,1.1305821\nGermany,DEU,2018,1.1471719\nGermany,DEU,2019,1.239307\nGermany,DEU,2020,1.3555577\nGermany,DEU,2021,1.2977482\nGermany,DEU,2022,1.3360198\nGermany,DEU,2023,1.5033264\nGermany,DEU,2024,1.8385782\n```\n\nWas military expenditure (% of gdp) in Germany higher in 2003 or 2019?","response":"Higher in 2003. The chart gives 1.3 % for 2003 and 1.24 % for 2019, a difference of 0.06 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nGermany,DEU,1990,2.5067637\nGermany,DEU,1991,1.9738225\nGermany,DEU,1992,1.8360797\nGermany,DEU,1993,1.6772598\nGermany,DEU,1994,1.5366037\nGermany,DEU,1995,1.4872725\nGermany,DEU,1996,1.4573717\nGermany,DEU,1997,1.4027076\nGermany,DEU,1998,1.381657\nGermany,DEU,1999,1.3803478\nGermany,DEU,2000,1.3442158\nGermany,DEU,2001,1.3078983\nGermany,DEU,2002,1.3134403\nGermany,DEU,2003,1.2986964\nGermany,DEU,2004,1.2507281\nGermany,DEU,2005,1.2327558\nGermany,DEU,2006,1.1789864\nGermany,DEU,2007,1.1527923\nGermany,DEU,2008,1.1890537\nGermany,DEU,2009,1.2852535\nGermany,DEU,2010,1.2421901\nGermany,DEU,2011,1.1827247\nGermany,DEU,2012,1.217738\nGermany,DEU,2013,1.1624622\nGermany,DEU,2014,1.127964\nGermany,DEU,2015,1.1149198\nGermany,DEU,2016,1.129443\nGermany,DEU,2017,1.1305821\nGermany,DEU,2018,1.1471719\nGermany,DEU,2019,1.239307\nGermany,DEU,2020,1.3555577\nGermany,DEU,2021,1.2977482\nGermany,DEU,2022,1.3360198\nGermany,DEU,2023,1.5033264\nGermany,DEU,2024,1.8385782\n```\n\nAccording to this chart, what was military expenditure (% of gdp) in Germany in 2019?","response":"Reading the plotted point for 2019, military expenditure (% of gdp) in Germany was 1.24 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nGermany,DEU,1990,2.5067637\nGermany,DEU,1991,1.9738225\nGermany,DEU,1992,1.8360797\nGermany,DEU,1993,1.6772598\nGermany,DEU,1994,1.5366037\nGermany,DEU,1995,1.4872725\nGermany,DEU,1996,1.4573717\nGermany,DEU,1997,1.4027076\nGermany,DEU,1998,1.381657\nGermany,DEU,1999,1.3803478\nGermany,DEU,2000,1.3442158\nGermany,DEU,2001,1.3078983\nGermany,DEU,2002,1.3134403\nGermany,DEU,2003,1.2986964\nGermany,DEU,2004,1.2507281\nGermany,DEU,2005,1.2327558\nGermany,DEU,2006,1.1789864\nGermany,DEU,2007,1.1527923\nGermany,DEU,2008,1.1890537\nGermany,DEU,2009,1.2852535\nGermany,DEU,2010,1.2421901\nGermany,DEU,2011,1.1827247\nGermany,DEU,2012,1.217738\nGermany,DEU,2013,1.1624622\nGermany,DEU,2014,1.127964\nGermany,DEU,2015,1.1149198\nGermany,DEU,2016,1.129443\nGermany,DEU,2017,1.1305821\nGermany,DEU,2018,1.1471719\nGermany,DEU,2019,1.239307\nGermany,DEU,2020,1.3555577\nGermany,DEU,2021,1.2977482\nGermany,DEU,2022,1.3360198\nGermany,DEU,2023,1.5033264\nGermany,DEU,2024,1.8385782\n```\n\nIn which year shown does military expenditure (% of gdp) reach its highest value for Germany?","response":"The series peaks in 1990, at 2.51 %. The lowest point shown is 2015, at 1.11 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nGermany,DEU,1990,2.5067637\nGermany,DEU,1991,1.9738225\nGermany,DEU,1992,1.8360797\nGermany,DEU,1993,1.6772598\nGermany,DEU,1994,1.5366037\nGermany,DEU,1995,1.4872725\nGermany,DEU,1996,1.4573717\nGermany,DEU,1997,1.4027076\nGermany,DEU,1998,1.381657\nGermany,DEU,1999,1.3803478\nGermany,DEU,2000,1.3442158\nGermany,DEU,2001,1.3078983\nGermany,DEU,2002,1.3134403\nGermany,DEU,2003,1.2986964\nGermany,DEU,2004,1.2507281\nGermany,DEU,2005,1.2327558\nGermany,DEU,2006,1.1789864\nGermany,DEU,2007,1.1527923\nGermany,DEU,2008,1.1890537\nGermany,DEU,2009,1.2852535\nGermany,DEU,2010,1.2421901\nGermany,DEU,2011,1.1827247\nGermany,DEU,2012,1.217738\nGermany,DEU,2013,1.1624622\nGermany,DEU,2014,1.127964\nGermany,DEU,2015,1.1149198\nGermany,DEU,2016,1.129443\nGermany,DEU,2017,1.1305821\nGermany,DEU,2018,1.1471719\nGermany,DEU,2019,1.239307\nGermany,DEU,2020,1.3555577\nGermany,DEU,2021,1.2977482\nGermany,DEU,2022,1.3360198\nGermany,DEU,2023,1.5033264\nGermany,DEU,2024,1.8385782\n```\n\nHow much did military expenditure (% of gdp) change for Germany between 1990 and 2024?","response":"It moved from 2.51 % in 1990 to 1.84 % in 2024, a change of -0.67 % (-26.66%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nGermany,DEU,1990,2.5067637\nGermany,DEU,1991,1.9738225\nGermany,DEU,1992,1.8360797\nGermany,DEU,1993,1.6772598\nGermany,DEU,1994,1.5366037\nGermany,DEU,1995,1.4872725\nGermany,DEU,1996,1.4573717\nGermany,DEU,1997,1.4027076\nGermany,DEU,1998,1.381657\nGermany,DEU,1999,1.3803478\nGermany,DEU,2000,1.3442158\nGermany,DEU,2001,1.3078983\nGermany,DEU,2002,1.3134403\nGermany,DEU,2003,1.2986964\nGermany,DEU,2004,1.2507281\nGermany,DEU,2005,1.2327558\nGermany,DEU,2006,1.1789864\nGermany,DEU,2007,1.1527923\nGermany,DEU,2008,1.1890537\nGermany,DEU,2009,1.2852535\nGermany,DEU,2010,1.2421901\nGermany,DEU,2011,1.1827247\nGermany,DEU,2012,1.217738\nGermany,DEU,2013,1.1624622\nGermany,DEU,2014,1.127964\nGermany,DEU,2015,1.1149198\nGermany,DEU,2016,1.129443\nGermany,DEU,2017,1.1305821\nGermany,DEU,2018,1.1471719\nGermany,DEU,2019,1.239307\nGermany,DEU,2020,1.3555577\nGermany,DEU,2021,1.2977482\nGermany,DEU,2022,1.3360198\nGermany,DEU,2023,1.5033264\nGermany,DEU,2024,1.8385782\n```\n\nWas military expenditure (% of gdp) in Germany higher in 2003 or 2019?","response":"Higher in 2003. The chart gives 1.3 % for 2003 and 1.24 % for 2019, a difference of 0.06 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nGermany,DEU,1990,2.5067637\nGermany,DEU,1991,1.9738225\nGermany,DEU,1992,1.8360797\nGermany,DEU,1993,1.6772598\nGermany,DEU,1994,1.5366037\nGermany,DEU,1995,1.4872725\nGermany,DEU,1996,1.4573717\nGermany,DEU,1997,1.4027076\nGermany,DEU,1998,1.381657\nGermany,DEU,1999,1.3803478\nGermany,DEU,2000,1.3442158\nGermany,DEU,2001,1.3078983\nGermany,DEU,2002,1.3134403\nGermany,DEU,2003,1.2986964\nGermany,DEU,2004,1.2507281\nGermany,DEU,2005,1.2327558\nGermany,DEU,2006,1.1789864\nGermany,DEU,2007,1.1527923\nGermany,DEU,2008,1.1890537\nGermany,DEU,2009,1.2852535\nGermany,DEU,2010,1.2421901\nGermany,DEU,2011,1.1827247\nGermany,DEU,2012,1.217738\nGermany,DEU,2013,1.1624622\nGermany,DEU,2014,1.127964\nGermany,DEU,2015,1.1149198\nGermany,DEU,2016,1.129443\nGermany,DEU,2017,1.1305821\nGermany,DEU,2018,1.1471719\nGermany,DEU,2019,1.239307\nGermany,DEU,2020,1.3555577\nGermany,DEU,2021,1.2977482\nGermany,DEU,2022,1.3360198\nGermany,DEU,2023,1.5033264\nGermany,DEU,2024,1.8385782\n```\n\nBased on this chart, is military expenditure (% of gdp) in Germany rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2.51 % to 1.84 %, a change of -26.66%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nGermany,DEU,2016,1.129443\nGermany,DEU,2017,1.1305821\nGermany,DEU,2018,1.1471719\nGermany,DEU,2019,1.239307\nGermany,DEU,2020,1.3555577\nGermany,DEU,2021,1.2977482\nGermany,DEU,2022,1.3360198\nGermany,DEU,2023,1.5033264\nGermany,DEU,2024,1.8385782\n```\n\nWhat does this chart suggest about the long-run direction of military expenditure (% of gdp) in Germany?","response":"Within the window shown (2016-2024) the series moves +62.79%, but that window runs against the longer record. Across the full series (1990-2024) the change is -26.66%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nGermany,DEU,1990,2.5067637\nGermany,DEU,1991,1.9738225\nGermany,DEU,1992,1.8360797\nGermany,DEU,1993,1.6772598\nGermany,DEU,1994,1.5366037\nGermany,DEU,1995,1.4872725\nGermany,DEU,1996,1.4573717\nGermany,DEU,1997,1.4027076\nGermany,DEU,1998,1.381657\nGermany,DEU,1999,1.3803478\nGermany,DEU,2000,1.3442158\nGermany,DEU,2001,1.3078983\nGermany,DEU,2002,1.3134403\nGermany,DEU,2003,1.2986964\nGermany,DEU,2004,1.2507281\nGermany,DEU,2005,1.2327558\nGermany,DEU,2006,1.1789864\nGermany,DEU,2007,1.1527923\nGermany,DEU,2008,1.1890537\nGermany,DEU,2009,1.2852535\nGermany,DEU,2010,1.2421901\nGermany,DEU,2011,1.1827247\nGermany,DEU,2012,1.217738\nGermany,DEU,2013,1.1624622\nGermany,DEU,2014,1.127964\nGermany,DEU,2015,1.1149198\nGermany,DEU,2016,1.129443\nGermany,DEU,2017,1.1305821\nGermany,DEU,2018,1.1471719\nGermany,DEU,2019,1.239307\nGermany,DEU,2020,1.3555577\nGermany,DEU,2021,1.2977482\nGermany,DEU,2022,1.3360198\nGermany,DEU,2023,1.5033264\nGermany,DEU,2024,1.8385782\n```\n\nHow does Germany compare with Chile on this measure?","response":"This chart covers Germany only, so Chile is not plotted and I cannot compare them from it. The chart does support statements about Germany on its own: the series runs from 2.51 % in 1990 to 1.84 % in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Germany__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nIndonesia,IDN,1990,1.4104929\nIndonesia,IDN,1991,1.3240641\nIndonesia,IDN,1992,1.356876\nIndonesia,IDN,1993,1.2235578\nIndonesia,IDN,1994,1.2661556\nIndonesia,IDN,1995,1.2263099\nIndonesia,IDN,1996,1.2643925\nIndonesia,IDN,1997,1.4977417\nIndonesia,IDN,1998,1.0191169\nIndonesia,IDN,1999,0.8108127\nIndonesia,IDN,2000,0.68448377\nIndonesia,IDN,2001,0.57279265\nIndonesia,IDN,2002,0.7001202\nIndonesia,IDN,2003,0.90928507\nIndonesia,IDN,2004,0.9457146\nIndonesia,IDN,2005,0.75078934\nIndonesia,IDN,2006,0.65870273\nIndonesia,IDN,2007,0.71236193\nIndonesia,IDN,2008,0.57894576\nIndonesia,IDN,2009,0.5711339\nIndonesia,IDN,2010,0.6175871\nIndonesia,IDN,2011,0.6537767\nIndonesia,IDN,2012,0.7115495\nIndonesia,IDN,2013,0.91876984\nIndonesia,IDN,2014,0.7778552\nIndonesia,IDN,2015,0.88226676\nIndonesia,IDN,2016,0.79222023\nIndonesia,IDN,2017,0.8651914\nIndonesia,IDN,2018,0.71892816\nIndonesia,IDN,2019,0.7285637\nIndonesia,IDN,2020,0.88627774\nIndonesia,IDN,2021,0.7415258\nIndonesia,IDN,2022,0.7680126\nIndonesia,IDN,2023,0.8211081\nIndonesia,IDN,2024,0.8603018\n```\n\nAccording to this chart, what was military expenditure (% of gdp) in Indonesia in 2004?","response":"Reading the plotted point for 2004, military expenditure (% of gdp) in Indonesia was 0.95 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nIndonesia,IDN,1990,1.4104929\nIndonesia,IDN,1991,1.3240641\nIndonesia,IDN,1992,1.356876\nIndonesia,IDN,1993,1.2235578\nIndonesia,IDN,1994,1.2661556\nIndonesia,IDN,1995,1.2263099\nIndonesia,IDN,1996,1.2643925\nIndonesia,IDN,1997,1.4977417\nIndonesia,IDN,1998,1.0191169\nIndonesia,IDN,1999,0.8108127\nIndonesia,IDN,2000,0.68448377\nIndonesia,IDN,2001,0.57279265\nIndonesia,IDN,2002,0.7001202\nIndonesia,IDN,2003,0.90928507\nIndonesia,IDN,2004,0.9457146\nIndonesia,IDN,2005,0.75078934\nIndonesia,IDN,2006,0.65870273\nIndonesia,IDN,2007,0.71236193\nIndonesia,IDN,2008,0.57894576\nIndonesia,IDN,2009,0.5711339\nIndonesia,IDN,2010,0.6175871\nIndonesia,IDN,2011,0.6537767\nIndonesia,IDN,2012,0.7115495\nIndonesia,IDN,2013,0.91876984\nIndonesia,IDN,2014,0.7778552\nIndonesia,IDN,2015,0.88226676\nIndonesia,IDN,2016,0.79222023\nIndonesia,IDN,2017,0.8651914\nIndonesia,IDN,2018,0.71892816\nIndonesia,IDN,2019,0.7285637\nIndonesia,IDN,2020,0.88627774\nIndonesia,IDN,2021,0.7415258\nIndonesia,IDN,2022,0.7680126\nIndonesia,IDN,2023,0.8211081\nIndonesia,IDN,2024,0.8603018\n```\n\nIn which year shown does military expenditure (% of gdp) reach its highest value for Indonesia?","response":"The series peaks in 1997, at 1.5 %. The lowest point shown is 2009, at 0.57 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nIndonesia,IDN,1990,1.4104929\nIndonesia,IDN,1991,1.3240641\nIndonesia,IDN,1992,1.356876\nIndonesia,IDN,1993,1.2235578\nIndonesia,IDN,1994,1.2661556\nIndonesia,IDN,1995,1.2263099\nIndonesia,IDN,1996,1.2643925\nIndonesia,IDN,1997,1.4977417\nIndonesia,IDN,1998,1.0191169\nIndonesia,IDN,1999,0.8108127\nIndonesia,IDN,2000,0.68448377\nIndonesia,IDN,2001,0.57279265\nIndonesia,IDN,2002,0.7001202\nIndonesia,IDN,2003,0.90928507\nIndonesia,IDN,2004,0.9457146\nIndonesia,IDN,2005,0.75078934\nIndonesia,IDN,2006,0.65870273\nIndonesia,IDN,2007,0.71236193\nIndonesia,IDN,2008,0.57894576\nIndonesia,IDN,2009,0.5711339\nIndonesia,IDN,2010,0.6175871\nIndonesia,IDN,2011,0.6537767\nIndonesia,IDN,2012,0.7115495\nIndonesia,IDN,2013,0.91876984\nIndonesia,IDN,2014,0.7778552\nIndonesia,IDN,2015,0.88226676\nIndonesia,IDN,2016,0.79222023\nIndonesia,IDN,2017,0.8651914\nIndonesia,IDN,2018,0.71892816\nIndonesia,IDN,2019,0.7285637\nIndonesia,IDN,2020,0.88627774\nIndonesia,IDN,2021,0.7415258\nIndonesia,IDN,2022,0.7680126\nIndonesia,IDN,2023,0.8211081\nIndonesia,IDN,2024,0.8603018\n```\n\nHow much did military expenditure (% of gdp) change for Indonesia between 1990 and 2024?","response":"It moved from 1.41 % in 1990 to 0.86 % in 2024, a change of -0.55 % (-39.01%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nIndonesia,IDN,1990,1.4104929\nIndonesia,IDN,1991,1.3240641\nIndonesia,IDN,1992,1.356876\nIndonesia,IDN,1993,1.2235578\nIndonesia,IDN,1994,1.2661556\nIndonesia,IDN,1995,1.2263099\nIndonesia,IDN,1996,1.2643925\nIndonesia,IDN,1997,1.4977417\nIndonesia,IDN,1998,1.0191169\nIndonesia,IDN,1999,0.8108127\nIndonesia,IDN,2000,0.68448377\nIndonesia,IDN,2001,0.57279265\nIndonesia,IDN,2002,0.7001202\nIndonesia,IDN,2003,0.90928507\nIndonesia,IDN,2004,0.9457146\nIndonesia,IDN,2005,0.75078934\nIndonesia,IDN,2006,0.65870273\nIndonesia,IDN,2007,0.71236193\nIndonesia,IDN,2008,0.57894576\nIndonesia,IDN,2009,0.5711339\nIndonesia,IDN,2010,0.6175871\nIndonesia,IDN,2011,0.6537767\nIndonesia,IDN,2012,0.7115495\nIndonesia,IDN,2013,0.91876984\nIndonesia,IDN,2014,0.7778552\nIndonesia,IDN,2015,0.88226676\nIndonesia,IDN,2016,0.79222023\nIndonesia,IDN,2017,0.8651914\nIndonesia,IDN,2018,0.71892816\nIndonesia,IDN,2019,0.7285637\nIndonesia,IDN,2020,0.88627774\nIndonesia,IDN,2021,0.7415258\nIndonesia,IDN,2022,0.7680126\nIndonesia,IDN,2023,0.8211081\nIndonesia,IDN,2024,0.8603018\n```\n\nWas military expenditure (% of gdp) in Indonesia higher in 1993 or 2023?","response":"Higher in 1993. The chart gives 1.22 % for 1993 and 0.82 % for 2023, a difference of 0.4 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nIndonesia,IDN,1990,1.4104929\nIndonesia,IDN,1991,1.3240641\nIndonesia,IDN,1992,1.356876\nIndonesia,IDN,1993,1.2235578\nIndonesia,IDN,1994,1.2661556\nIndonesia,IDN,1995,1.2263099\nIndonesia,IDN,1996,1.2643925\nIndonesia,IDN,1997,1.4977417\nIndonesia,IDN,1998,1.0191169\nIndonesia,IDN,1999,0.8108127\nIndonesia,IDN,2000,0.68448377\nIndonesia,IDN,2001,0.57279265\nIndonesia,IDN,2002,0.7001202\nIndonesia,IDN,2003,0.90928507\nIndonesia,IDN,2004,0.9457146\nIndonesia,IDN,2005,0.75078934\nIndonesia,IDN,2006,0.65870273\nIndonesia,IDN,2007,0.71236193\nIndonesia,IDN,2008,0.57894576\nIndonesia,IDN,2009,0.5711339\nIndonesia,IDN,2010,0.6175871\nIndonesia,IDN,2011,0.6537767\nIndonesia,IDN,2012,0.7115495\nIndonesia,IDN,2013,0.91876984\nIndonesia,IDN,2014,0.7778552\nIndonesia,IDN,2015,0.88226676\nIndonesia,IDN,2016,0.79222023\nIndonesia,IDN,2017,0.8651914\nIndonesia,IDN,2018,0.71892816\nIndonesia,IDN,2019,0.7285637\nIndonesia,IDN,2020,0.88627774\nIndonesia,IDN,2021,0.7415258\nIndonesia,IDN,2022,0.7680126\nIndonesia,IDN,2023,0.8211081\nIndonesia,IDN,2024,0.8603018\n```\n\nAccording to this chart, what was military expenditure (% of gdp) in Indonesia in 2004?","response":"Reading the plotted point for 2004, military expenditure (% of gdp) in Indonesia was 0.95 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nIndonesia,IDN,1990,1.4104929\nIndonesia,IDN,1991,1.3240641\nIndonesia,IDN,1992,1.356876\nIndonesia,IDN,1993,1.2235578\nIndonesia,IDN,1994,1.2661556\nIndonesia,IDN,1995,1.2263099\nIndonesia,IDN,1996,1.2643925\nIndonesia,IDN,1997,1.4977417\nIndonesia,IDN,1998,1.0191169\nIndonesia,IDN,1999,0.8108127\nIndonesia,IDN,2000,0.68448377\nIndonesia,IDN,2001,0.57279265\nIndonesia,IDN,2002,0.7001202\nIndonesia,IDN,2003,0.90928507\nIndonesia,IDN,2004,0.9457146\nIndonesia,IDN,2005,0.75078934\nIndonesia,IDN,2006,0.65870273\nIndonesia,IDN,2007,0.71236193\nIndonesia,IDN,2008,0.57894576\nIndonesia,IDN,2009,0.5711339\nIndonesia,IDN,2010,0.6175871\nIndonesia,IDN,2011,0.6537767\nIndonesia,IDN,2012,0.7115495\nIndonesia,IDN,2013,0.91876984\nIndonesia,IDN,2014,0.7778552\nIndonesia,IDN,2015,0.88226676\nIndonesia,IDN,2016,0.79222023\nIndonesia,IDN,2017,0.8651914\nIndonesia,IDN,2018,0.71892816\nIndonesia,IDN,2019,0.7285637\nIndonesia,IDN,2020,0.88627774\nIndonesia,IDN,2021,0.7415258\nIndonesia,IDN,2022,0.7680126\nIndonesia,IDN,2023,0.8211081\nIndonesia,IDN,2024,0.8603018\n```\n\nIn which year shown does military expenditure (% of gdp) reach its highest value for Indonesia?","response":"The series peaks in 1997, at 1.5 %. The lowest point shown is 2009, at 0.57 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nIndonesia,IDN,1990,1.4104929\nIndonesia,IDN,1991,1.3240641\nIndonesia,IDN,1992,1.356876\nIndonesia,IDN,1993,1.2235578\nIndonesia,IDN,1994,1.2661556\nIndonesia,IDN,1995,1.2263099\nIndonesia,IDN,1996,1.2643925\nIndonesia,IDN,1997,1.4977417\nIndonesia,IDN,1998,1.0191169\nIndonesia,IDN,1999,0.8108127\nIndonesia,IDN,2000,0.68448377\nIndonesia,IDN,2001,0.57279265\nIndonesia,IDN,2002,0.7001202\nIndonesia,IDN,2003,0.90928507\nIndonesia,IDN,2004,0.9457146\nIndonesia,IDN,2005,0.75078934\nIndonesia,IDN,2006,0.65870273\nIndonesia,IDN,2007,0.71236193\nIndonesia,IDN,2008,0.57894576\nIndonesia,IDN,2009,0.5711339\nIndonesia,IDN,2010,0.6175871\nIndonesia,IDN,2011,0.6537767\nIndonesia,IDN,2012,0.7115495\nIndonesia,IDN,2013,0.91876984\nIndonesia,IDN,2014,0.7778552\nIndonesia,IDN,2015,0.88226676\nIndonesia,IDN,2016,0.79222023\nIndonesia,IDN,2017,0.8651914\nIndonesia,IDN,2018,0.71892816\nIndonesia,IDN,2019,0.7285637\nIndonesia,IDN,2020,0.88627774\nIndonesia,IDN,2021,0.7415258\nIndonesia,IDN,2022,0.7680126\nIndonesia,IDN,2023,0.8211081\nIndonesia,IDN,2024,0.8603018\n```\n\nHow much did military expenditure (% of gdp) change for Indonesia between 1990 and 2024?","response":"It moved from 1.41 % in 1990 to 0.86 % in 2024, a change of -0.55 % (-39.01%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nIndonesia,IDN,1990,1.4104929\nIndonesia,IDN,1991,1.3240641\nIndonesia,IDN,1992,1.356876\nIndonesia,IDN,1993,1.2235578\nIndonesia,IDN,1994,1.2661556\nIndonesia,IDN,1995,1.2263099\nIndonesia,IDN,1996,1.2643925\nIndonesia,IDN,1997,1.4977417\nIndonesia,IDN,1998,1.0191169\nIndonesia,IDN,1999,0.8108127\nIndonesia,IDN,2000,0.68448377\nIndonesia,IDN,2001,0.57279265\nIndonesia,IDN,2002,0.7001202\nIndonesia,IDN,2003,0.90928507\nIndonesia,IDN,2004,0.9457146\nIndonesia,IDN,2005,0.75078934\nIndonesia,IDN,2006,0.65870273\nIndonesia,IDN,2007,0.71236193\nIndonesia,IDN,2008,0.57894576\nIndonesia,IDN,2009,0.5711339\nIndonesia,IDN,2010,0.6175871\nIndonesia,IDN,2011,0.6537767\nIndonesia,IDN,2012,0.7115495\nIndonesia,IDN,2013,0.91876984\nIndonesia,IDN,2014,0.7778552\nIndonesia,IDN,2015,0.88226676\nIndonesia,IDN,2016,0.79222023\nIndonesia,IDN,2017,0.8651914\nIndonesia,IDN,2018,0.71892816\nIndonesia,IDN,2019,0.7285637\nIndonesia,IDN,2020,0.88627774\nIndonesia,IDN,2021,0.7415258\nIndonesia,IDN,2022,0.7680126\nIndonesia,IDN,2023,0.8211081\nIndonesia,IDN,2024,0.8603018\n```\n\nWas military expenditure (% of gdp) in Indonesia higher in 1993 or 2023?","response":"Higher in 1993. The chart gives 1.22 % for 1993 and 0.82 % for 2023, a difference of 0.4 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nIndonesia,IDN,1990,1.4104929\nIndonesia,IDN,1991,1.3240641\nIndonesia,IDN,1992,1.356876\nIndonesia,IDN,1993,1.2235578\nIndonesia,IDN,1994,1.2661556\nIndonesia,IDN,1995,1.2263099\nIndonesia,IDN,1996,1.2643925\nIndonesia,IDN,1997,1.4977417\nIndonesia,IDN,1998,1.0191169\nIndonesia,IDN,1999,0.8108127\nIndonesia,IDN,2000,0.68448377\nIndonesia,IDN,2001,0.57279265\nIndonesia,IDN,2002,0.7001202\nIndonesia,IDN,2003,0.90928507\nIndonesia,IDN,2004,0.9457146\nIndonesia,IDN,2005,0.75078934\nIndonesia,IDN,2006,0.65870273\nIndonesia,IDN,2007,0.71236193\nIndonesia,IDN,2008,0.57894576\nIndonesia,IDN,2009,0.5711339\nIndonesia,IDN,2010,0.6175871\nIndonesia,IDN,2011,0.6537767\nIndonesia,IDN,2012,0.7115495\nIndonesia,IDN,2013,0.91876984\nIndonesia,IDN,2014,0.7778552\nIndonesia,IDN,2015,0.88226676\nIndonesia,IDN,2016,0.79222023\nIndonesia,IDN,2017,0.8651914\nIndonesia,IDN,2018,0.71892816\nIndonesia,IDN,2019,0.7285637\nIndonesia,IDN,2020,0.88627774\nIndonesia,IDN,2021,0.7415258\nIndonesia,IDN,2022,0.7680126\nIndonesia,IDN,2023,0.8211081\nIndonesia,IDN,2024,0.8603018\n```\n\nThis chart makes the change in military expenditure (% of gdp) for Indonesia look dramatic. Is it?","response":"The values change by -39.01%, from 1.41 % to 0.86 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nIndonesia,IDN,2008,0.57894576\nIndonesia,IDN,2009,0.5711339\nIndonesia,IDN,2010,0.6175871\nIndonesia,IDN,2011,0.6537767\nIndonesia,IDN,2012,0.7115495\nIndonesia,IDN,2013,0.91876984\nIndonesia,IDN,2014,0.7778552\nIndonesia,IDN,2015,0.88226676\nIndonesia,IDN,2016,0.79222023\n```\n\nWhat does this chart suggest about the long-run direction of military expenditure (% of gdp) in Indonesia?","response":"Within the window shown (2008-2016) the series moves +36.84%, but that window runs against the longer record. Across the full series (1990-2024) the change is -39.01%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nIndonesia,IDN,1990,1.4104929\nIndonesia,IDN,1991,1.3240641\nIndonesia,IDN,1992,1.356876\nIndonesia,IDN,1993,1.2235578\nIndonesia,IDN,1994,1.2661556\nIndonesia,IDN,1995,1.2263099\nIndonesia,IDN,1996,1.2643925\nIndonesia,IDN,1997,1.4977417\nIndonesia,IDN,1998,1.0191169\nIndonesia,IDN,1999,0.8108127\nIndonesia,IDN,2000,0.68448377\nIndonesia,IDN,2001,0.57279265\nIndonesia,IDN,2002,0.7001202\nIndonesia,IDN,2003,0.90928507\nIndonesia,IDN,2004,0.9457146\nIndonesia,IDN,2005,0.75078934\nIndonesia,IDN,2006,0.65870273\nIndonesia,IDN,2007,0.71236193\nIndonesia,IDN,2008,0.57894576\nIndonesia,IDN,2009,0.5711339\nIndonesia,IDN,2010,0.6175871\nIndonesia,IDN,2011,0.6537767\nIndonesia,IDN,2012,0.7115495\nIndonesia,IDN,2013,0.91876984\nIndonesia,IDN,2014,0.7778552\nIndonesia,IDN,2015,0.88226676\nIndonesia,IDN,2016,0.79222023\nIndonesia,IDN,2017,0.8651914\nIndonesia,IDN,2018,0.71892816\nIndonesia,IDN,2019,0.7285637\nIndonesia,IDN,2020,0.88627774\nIndonesia,IDN,2021,0.7415258\nIndonesia,IDN,2022,0.7680126\nIndonesia,IDN,2023,0.8211081\nIndonesia,IDN,2024,0.8603018\n```\n\nWhat caused the change in military expenditure (% of gdp) for Indonesia around 1998?","response":"The chart shows that the change happened: military expenditure (% of gdp) moves to 1.02 % in 1998. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Indonesia__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nKenya,KEN,1990,2.888215\nKenya,KEN,1991,2.354258\nKenya,KEN,1992,1.9007467\nKenya,KEN,1993,1.8377416\nKenya,KEN,1994,1.6412529\nKenya,KEN,1995,1.6467161\nKenya,KEN,1996,1.4179547\nKenya,KEN,1997,1.3406385\nKenya,KEN,1998,1.2201226\nKenya,KEN,1999,1.1869742\nKenya,KEN,2000,1.313742\nKenya,KEN,2001,1.5047549\nKenya,KEN,2002,1.6324079\nKenya,KEN,2003,1.6500999\nKenya,KEN,2004,1.6141942\nKenya,KEN,2005,1.690587\nKenya,KEN,2006,1.4551773\nKenya,KEN,2007,1.5479124\nKenya,KEN,2008,1.6158502\nKenya,KEN,2009,1.3650757\nKenya,KEN,2010,1.3699853\nKenya,KEN,2011,1.379743\nKenya,KEN,2012,1.4895773\nKenya,KEN,2013,1.3953965\nKenya,KEN,2014,1.1994334\nKenya,KEN,2015,1.2031693\nKenya,KEN,2016,1.2473098\nKenya,KEN,2017,1.237594\nKenya,KEN,2018,1.2073854\nKenya,KEN,2019,1.1125711\nKenya,KEN,2020,1.1084342\nKenya,KEN,2021,1.0772003\nKenya,KEN,2022,1.009708\nKenya,KEN,2023,0.9753881\nKenya,KEN,2024,1.0388744\n```\n\nAccording to this chart, what was military expenditure (% of gdp) in Kenya in 2004?","response":"Reading the plotted point for 2004, military expenditure (% of gdp) in Kenya was 1.61 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nKenya,KEN,1990,2.888215\nKenya,KEN,1991,2.354258\nKenya,KEN,1992,1.9007467\nKenya,KEN,1993,1.8377416\nKenya,KEN,1994,1.6412529\nKenya,KEN,1995,1.6467161\nKenya,KEN,1996,1.4179547\nKenya,KEN,1997,1.3406385\nKenya,KEN,1998,1.2201226\nKenya,KEN,1999,1.1869742\nKenya,KEN,2000,1.313742\nKenya,KEN,2001,1.5047549\nKenya,KEN,2002,1.6324079\nKenya,KEN,2003,1.6500999\nKenya,KEN,2004,1.6141942\nKenya,KEN,2005,1.690587\nKenya,KEN,2006,1.4551773\nKenya,KEN,2007,1.5479124\nKenya,KEN,2008,1.6158502\nKenya,KEN,2009,1.3650757\nKenya,KEN,2010,1.3699853\nKenya,KEN,2011,1.379743\nKenya,KEN,2012,1.4895773\nKenya,KEN,2013,1.3953965\nKenya,KEN,2014,1.1994334\nKenya,KEN,2015,1.2031693\nKenya,KEN,2016,1.2473098\nKenya,KEN,2017,1.237594\nKenya,KEN,2018,1.2073854\nKenya,KEN,2019,1.1125711\nKenya,KEN,2020,1.1084342\nKenya,KEN,2021,1.0772003\nKenya,KEN,2022,1.009708\nKenya,KEN,2023,0.9753881\nKenya,KEN,2024,1.0388744\n```\n\nIn which year shown does military expenditure (% of gdp) reach its highest value for Kenya?","response":"The series peaks in 1990, at 2.89 %. The lowest point shown is 2023, at 0.98 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nKenya,KEN,1990,2.888215\nKenya,KEN,1991,2.354258\nKenya,KEN,1992,1.9007467\nKenya,KEN,1993,1.8377416\nKenya,KEN,1994,1.6412529\nKenya,KEN,1995,1.6467161\nKenya,KEN,1996,1.4179547\nKenya,KEN,1997,1.3406385\nKenya,KEN,1998,1.2201226\nKenya,KEN,1999,1.1869742\nKenya,KEN,2000,1.313742\nKenya,KEN,2001,1.5047549\nKenya,KEN,2002,1.6324079\nKenya,KEN,2003,1.6500999\nKenya,KEN,2004,1.6141942\nKenya,KEN,2005,1.690587\nKenya,KEN,2006,1.4551773\nKenya,KEN,2007,1.5479124\nKenya,KEN,2008,1.6158502\nKenya,KEN,2009,1.3650757\nKenya,KEN,2010,1.3699853\nKenya,KEN,2011,1.379743\nKenya,KEN,2012,1.4895773\nKenya,KEN,2013,1.3953965\nKenya,KEN,2014,1.1994334\nKenya,KEN,2015,1.2031693\nKenya,KEN,2016,1.2473098\nKenya,KEN,2017,1.237594\nKenya,KEN,2018,1.2073854\nKenya,KEN,2019,1.1125711\nKenya,KEN,2020,1.1084342\nKenya,KEN,2021,1.0772003\nKenya,KEN,2022,1.009708\nKenya,KEN,2023,0.9753881\nKenya,KEN,2024,1.0388744\n```\n\nHow much did military expenditure (% of gdp) change for Kenya between 1990 and 2024?","response":"It moved from 2.89 % in 1990 to 1.04 % in 2024, a change of -1.85 % (-64.03%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nKenya,KEN,1990,2.888215\nKenya,KEN,1991,2.354258\nKenya,KEN,1992,1.9007467\nKenya,KEN,1993,1.8377416\nKenya,KEN,1994,1.6412529\nKenya,KEN,1995,1.6467161\nKenya,KEN,1996,1.4179547\nKenya,KEN,1997,1.3406385\nKenya,KEN,1998,1.2201226\nKenya,KEN,1999,1.1869742\nKenya,KEN,2000,1.313742\nKenya,KEN,2001,1.5047549\nKenya,KEN,2002,1.6324079\nKenya,KEN,2003,1.6500999\nKenya,KEN,2004,1.6141942\nKenya,KEN,2005,1.690587\nKenya,KEN,2006,1.4551773\nKenya,KEN,2007,1.5479124\nKenya,KEN,2008,1.6158502\nKenya,KEN,2009,1.3650757\nKenya,KEN,2010,1.3699853\nKenya,KEN,2011,1.379743\nKenya,KEN,2012,1.4895773\nKenya,KEN,2013,1.3953965\nKenya,KEN,2014,1.1994334\nKenya,KEN,2015,1.2031693\nKenya,KEN,2016,1.2473098\nKenya,KEN,2017,1.237594\nKenya,KEN,2018,1.2073854\nKenya,KEN,2019,1.1125711\nKenya,KEN,2020,1.1084342\nKenya,KEN,2021,1.0772003\nKenya,KEN,2022,1.009708\nKenya,KEN,2023,0.9753881\nKenya,KEN,2024,1.0388744\n```\n\nWas military expenditure (% of gdp) in Kenya higher in 2000 or 2007?","response":"Higher in 2007. The chart gives 1.31 % for 2000 and 1.55 % for 2007, a difference of 0.23 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nKenya,KEN,1990,2.888215\nKenya,KEN,1991,2.354258\nKenya,KEN,1992,1.9007467\nKenya,KEN,1993,1.8377416\nKenya,KEN,1994,1.6412529\nKenya,KEN,1995,1.6467161\nKenya,KEN,1996,1.4179547\nKenya,KEN,1997,1.3406385\nKenya,KEN,1998,1.2201226\nKenya,KEN,1999,1.1869742\nKenya,KEN,2000,1.313742\nKenya,KEN,2001,1.5047549\nKenya,KEN,2002,1.6324079\nKenya,KEN,2003,1.6500999\nKenya,KEN,2004,1.6141942\nKenya,KEN,2005,1.690587\nKenya,KEN,2006,1.4551773\nKenya,KEN,2007,1.5479124\nKenya,KEN,2008,1.6158502\nKenya,KEN,2009,1.3650757\nKenya,KEN,2010,1.3699853\nKenya,KEN,2011,1.379743\nKenya,KEN,2012,1.4895773\nKenya,KEN,2013,1.3953965\nKenya,KEN,2014,1.1994334\nKenya,KEN,2015,1.2031693\nKenya,KEN,2016,1.2473098\nKenya,KEN,2017,1.237594\nKenya,KEN,2018,1.2073854\nKenya,KEN,2019,1.1125711\nKenya,KEN,2020,1.1084342\nKenya,KEN,2021,1.0772003\nKenya,KEN,2022,1.009708\nKenya,KEN,2023,0.9753881\nKenya,KEN,2024,1.0388744\n```\n\nAccording to this chart, what was military expenditure (% of gdp) in Kenya in 2004?","response":"Reading the plotted point for 2004, military expenditure (% of gdp) in Kenya was 1.61 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nKenya,KEN,1990,2.888215\nKenya,KEN,1991,2.354258\nKenya,KEN,1992,1.9007467\nKenya,KEN,1993,1.8377416\nKenya,KEN,1994,1.6412529\nKenya,KEN,1995,1.6467161\nKenya,KEN,1996,1.4179547\nKenya,KEN,1997,1.3406385\nKenya,KEN,1998,1.2201226\nKenya,KEN,1999,1.1869742\nKenya,KEN,2000,1.313742\nKenya,KEN,2001,1.5047549\nKenya,KEN,2002,1.6324079\nKenya,KEN,2003,1.6500999\nKenya,KEN,2004,1.6141942\nKenya,KEN,2005,1.690587\nKenya,KEN,2006,1.4551773\nKenya,KEN,2007,1.5479124\nKenya,KEN,2008,1.6158502\nKenya,KEN,2009,1.3650757\nKenya,KEN,2010,1.3699853\nKenya,KEN,2011,1.379743\nKenya,KEN,2012,1.4895773\nKenya,KEN,2013,1.3953965\nKenya,KEN,2014,1.1994334\nKenya,KEN,2015,1.2031693\nKenya,KEN,2016,1.2473098\nKenya,KEN,2017,1.237594\nKenya,KEN,2018,1.2073854\nKenya,KEN,2019,1.1125711\nKenya,KEN,2020,1.1084342\nKenya,KEN,2021,1.0772003\nKenya,KEN,2022,1.009708\nKenya,KEN,2023,0.9753881\nKenya,KEN,2024,1.0388744\n```\n\nIn which year shown does military expenditure (% of gdp) reach its highest value for Kenya?","response":"The series peaks in 1990, at 2.89 %. The lowest point shown is 2023, at 0.98 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nKenya,KEN,1990,2.888215\nKenya,KEN,1991,2.354258\nKenya,KEN,1992,1.9007467\nKenya,KEN,1993,1.8377416\nKenya,KEN,1994,1.6412529\nKenya,KEN,1995,1.6467161\nKenya,KEN,1996,1.4179547\nKenya,KEN,1997,1.3406385\nKenya,KEN,1998,1.2201226\nKenya,KEN,1999,1.1869742\nKenya,KEN,2000,1.313742\nKenya,KEN,2001,1.5047549\nKenya,KEN,2002,1.6324079\nKenya,KEN,2003,1.6500999\nKenya,KEN,2004,1.6141942\nKenya,KEN,2005,1.690587\nKenya,KEN,2006,1.4551773\nKenya,KEN,2007,1.5479124\nKenya,KEN,2008,1.6158502\nKenya,KEN,2009,1.3650757\nKenya,KEN,2010,1.3699853\nKenya,KEN,2011,1.379743\nKenya,KEN,2012,1.4895773\nKenya,KEN,2013,1.3953965\nKenya,KEN,2014,1.1994334\nKenya,KEN,2015,1.2031693\nKenya,KEN,2016,1.2473098\nKenya,KEN,2017,1.237594\nKenya,KEN,2018,1.2073854\nKenya,KEN,2019,1.1125711\nKenya,KEN,2020,1.1084342\nKenya,KEN,2021,1.0772003\nKenya,KEN,2022,1.009708\nKenya,KEN,2023,0.9753881\nKenya,KEN,2024,1.0388744\n```\n\nHow much did military expenditure (% of gdp) change for Kenya between 1990 and 2024?","response":"It moved from 2.89 % in 1990 to 1.04 % in 2024, a change of -1.85 % (-64.03%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nKenya,KEN,1990,2.888215\nKenya,KEN,1991,2.354258\nKenya,KEN,1992,1.9007467\nKenya,KEN,1993,1.8377416\nKenya,KEN,1994,1.6412529\nKenya,KEN,1995,1.6467161\nKenya,KEN,1996,1.4179547\nKenya,KEN,1997,1.3406385\nKenya,KEN,1998,1.2201226\nKenya,KEN,1999,1.1869742\nKenya,KEN,2000,1.313742\nKenya,KEN,2001,1.5047549\nKenya,KEN,2002,1.6324079\nKenya,KEN,2003,1.6500999\nKenya,KEN,2004,1.6141942\nKenya,KEN,2005,1.690587\nKenya,KEN,2006,1.4551773\nKenya,KEN,2007,1.5479124\nKenya,KEN,2008,1.6158502\nKenya,KEN,2009,1.3650757\nKenya,KEN,2010,1.3699853\nKenya,KEN,2011,1.379743\nKenya,KEN,2012,1.4895773\nKenya,KEN,2013,1.3953965\nKenya,KEN,2014,1.1994334\nKenya,KEN,2015,1.2031693\nKenya,KEN,2016,1.2473098\nKenya,KEN,2017,1.237594\nKenya,KEN,2018,1.2073854\nKenya,KEN,2019,1.1125711\nKenya,KEN,2020,1.1084342\nKenya,KEN,2021,1.0772003\nKenya,KEN,2022,1.009708\nKenya,KEN,2023,0.9753881\nKenya,KEN,2024,1.0388744\n```\n\nWas military expenditure (% of gdp) in Kenya higher in 2000 or 2007?","response":"Higher in 2007. The chart gives 1.31 % for 2000 and 1.55 % for 2007, a difference of 0.23 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nKenya,KEN,1990,2.888215\nKenya,KEN,1991,2.354258\nKenya,KEN,1992,1.9007467\nKenya,KEN,1993,1.8377416\nKenya,KEN,1994,1.6412529\nKenya,KEN,1995,1.6467161\nKenya,KEN,1996,1.4179547\nKenya,KEN,1997,1.3406385\nKenya,KEN,1998,1.2201226\nKenya,KEN,1999,1.1869742\nKenya,KEN,2000,1.313742\nKenya,KEN,2001,1.5047549\nKenya,KEN,2002,1.6324079\nKenya,KEN,2003,1.6500999\nKenya,KEN,2004,1.6141942\nKenya,KEN,2005,1.690587\nKenya,KEN,2006,1.4551773\nKenya,KEN,2007,1.5479124\nKenya,KEN,2008,1.6158502\nKenya,KEN,2009,1.3650757\nKenya,KEN,2010,1.3699853\nKenya,KEN,2011,1.379743\nKenya,KEN,2012,1.4895773\nKenya,KEN,2013,1.3953965\nKenya,KEN,2014,1.1994334\nKenya,KEN,2015,1.2031693\nKenya,KEN,2016,1.2473098\nKenya,KEN,2017,1.237594\nKenya,KEN,2018,1.2073854\nKenya,KEN,2019,1.1125711\nKenya,KEN,2020,1.1084342\nKenya,KEN,2021,1.0772003\nKenya,KEN,2022,1.009708\nKenya,KEN,2023,0.9753881\nKenya,KEN,2024,1.0388744\n```\n\nBased on this chart, is military expenditure (% of gdp) in Kenya rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2.89 % to 1.04 %, a change of -64.03%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nKenya,KEN,1997,1.3406385\nKenya,KEN,1998,1.2201226\nKenya,KEN,1999,1.1869742\nKenya,KEN,2000,1.313742\nKenya,KEN,2001,1.5047549\nKenya,KEN,2002,1.6324079\nKenya,KEN,2003,1.6500999\nKenya,KEN,2004,1.6141942\nKenya,KEN,2005,1.690587\n```\n\nWhat does this chart suggest about the long-run direction of military expenditure (% of gdp) in Kenya?","response":"Within the window shown (1997-2005) the series moves +26.10%, but that window runs against the longer record. Across the full series (1990-2024) the change is -64.03%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nKenya,KEN,1990,2.888215\nKenya,KEN,1991,2.354258\nKenya,KEN,1992,1.9007467\nKenya,KEN,1993,1.8377416\nKenya,KEN,1994,1.6412529\nKenya,KEN,1995,1.6467161\nKenya,KEN,1996,1.4179547\nKenya,KEN,1997,1.3406385\nKenya,KEN,1998,1.2201226\nKenya,KEN,1999,1.1869742\nKenya,KEN,2000,1.313742\nKenya,KEN,2001,1.5047549\nKenya,KEN,2002,1.6324079\nKenya,KEN,2003,1.6500999\nKenya,KEN,2004,1.6141942\nKenya,KEN,2005,1.690587\nKenya,KEN,2006,1.4551773\nKenya,KEN,2007,1.5479124\nKenya,KEN,2008,1.6158502\nKenya,KEN,2009,1.3650757\nKenya,KEN,2010,1.3699853\nKenya,KEN,2011,1.379743\nKenya,KEN,2012,1.4895773\nKenya,KEN,2013,1.3953965\nKenya,KEN,2014,1.1994334\nKenya,KEN,2015,1.2031693\nKenya,KEN,2016,1.2473098\nKenya,KEN,2017,1.237594\nKenya,KEN,2018,1.2073854\nKenya,KEN,2019,1.1125711\nKenya,KEN,2020,1.1084342\nKenya,KEN,2021,1.0772003\nKenya,KEN,2022,1.009708\nKenya,KEN,2023,0.9753881\nKenya,KEN,2024,1.0388744\n```\n\nWhat caused the change in military expenditure (% of gdp) for Kenya around 1991?","response":"The chart shows that the change happened: military expenditure (% of gdp) moves to 2.35 % in 1991. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Kenya__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nMexico,MEX,1990,0.43308103\nMexico,MEX,1991,0.4354023\nMexico,MEX,1992,0.46945465\nMexico,MEX,1993,0.4004413\nMexico,MEX,1994,0.47601148\nMexico,MEX,1995,0.41104454\nMexico,MEX,1996,0.4356911\nMexico,MEX,1997,0.41724387\nMexico,MEX,1998,0.4059876\nMexico,MEX,1999,0.42026377\nMexico,MEX,2000,0.40851814\nMexico,MEX,2001,0.40567923\nMexico,MEX,2002,0.39131635\nMexico,MEX,2003,0.38671434\nMexico,MEX,2004,0.3483266\nMexico,MEX,2005,0.34040463\nMexico,MEX,2006,0.2974834\nMexico,MEX,2007,0.38309243\nMexico,MEX,2008,0.37317675\nMexico,MEX,2009,0.4784888\nMexico,MEX,2010,0.4332299\nMexico,MEX,2011,0.447387\nMexico,MEX,2012,0.45550203\nMexico,MEX,2013,0.48764288\nMexico,MEX,2014,0.49532104\nMexico,MEX,2015,0.4507428\nMexico,MEX,2016,0.48004627\nMexico,MEX,2017,0.42484915\nMexico,MEX,2018,0.46461156\nMexico,MEX,2019,0.5093376\nMexico,MEX,2020,0.7176906\nMexico,MEX,2021,0.65940416\nMexico,MEX,2022,0.68559974\nMexico,MEX,2023,0.66014683\nMexico,MEX,2024,1.1251061\n```\n\nAccording to this chart, what was military expenditure (% of gdp) in Mexico in 2020?","response":"Reading the plotted point for 2020, military expenditure (% of gdp) in Mexico was 0.72 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nMexico,MEX,1990,0.43308103\nMexico,MEX,1991,0.4354023\nMexico,MEX,1992,0.46945465\nMexico,MEX,1993,0.4004413\nMexico,MEX,1994,0.47601148\nMexico,MEX,1995,0.41104454\nMexico,MEX,1996,0.4356911\nMexico,MEX,1997,0.41724387\nMexico,MEX,1998,0.4059876\nMexico,MEX,1999,0.42026377\nMexico,MEX,2000,0.40851814\nMexico,MEX,2001,0.40567923\nMexico,MEX,2002,0.39131635\nMexico,MEX,2003,0.38671434\nMexico,MEX,2004,0.3483266\nMexico,MEX,2005,0.34040463\nMexico,MEX,2006,0.2974834\nMexico,MEX,2007,0.38309243\nMexico,MEX,2008,0.37317675\nMexico,MEX,2009,0.4784888\nMexico,MEX,2010,0.4332299\nMexico,MEX,2011,0.447387\nMexico,MEX,2012,0.45550203\nMexico,MEX,2013,0.48764288\nMexico,MEX,2014,0.49532104\nMexico,MEX,2015,0.4507428\nMexico,MEX,2016,0.48004627\nMexico,MEX,2017,0.42484915\nMexico,MEX,2018,0.46461156\nMexico,MEX,2019,0.5093376\nMexico,MEX,2020,0.7176906\nMexico,MEX,2021,0.65940416\nMexico,MEX,2022,0.68559974\nMexico,MEX,2023,0.66014683\nMexico,MEX,2024,1.1251061\n```\n\nIn which year shown does military expenditure (% of gdp) reach its highest value for Mexico?","response":"The series peaks in 2024, at 1.13 %. The lowest point shown is 2006, at 0.3 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nMexico,MEX,1990,0.43308103\nMexico,MEX,1991,0.4354023\nMexico,MEX,1992,0.46945465\nMexico,MEX,1993,0.4004413\nMexico,MEX,1994,0.47601148\nMexico,MEX,1995,0.41104454\nMexico,MEX,1996,0.4356911\nMexico,MEX,1997,0.41724387\nMexico,MEX,1998,0.4059876\nMexico,MEX,1999,0.42026377\nMexico,MEX,2000,0.40851814\nMexico,MEX,2001,0.40567923\nMexico,MEX,2002,0.39131635\nMexico,MEX,2003,0.38671434\nMexico,MEX,2004,0.3483266\nMexico,MEX,2005,0.34040463\nMexico,MEX,2006,0.2974834\nMexico,MEX,2007,0.38309243\nMexico,MEX,2008,0.37317675\nMexico,MEX,2009,0.4784888\nMexico,MEX,2010,0.4332299\nMexico,MEX,2011,0.447387\nMexico,MEX,2012,0.45550203\nMexico,MEX,2013,0.48764288\nMexico,MEX,2014,0.49532104\nMexico,MEX,2015,0.4507428\nMexico,MEX,2016,0.48004627\nMexico,MEX,2017,0.42484915\nMexico,MEX,2018,0.46461156\nMexico,MEX,2019,0.5093376\nMexico,MEX,2020,0.7176906\nMexico,MEX,2021,0.65940416\nMexico,MEX,2022,0.68559974\nMexico,MEX,2023,0.66014683\nMexico,MEX,2024,1.1251061\n```\n\nHow much did military expenditure (% of gdp) change for Mexico between 1990 and 2024?","response":"It moved from 0.43 % in 1990 to 1.13 % in 2024, a change of 0.69 % (+159.79%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nMexico,MEX,1990,0.43308103\nMexico,MEX,1991,0.4354023\nMexico,MEX,1992,0.46945465\nMexico,MEX,1993,0.4004413\nMexico,MEX,1994,0.47601148\nMexico,MEX,1995,0.41104454\nMexico,MEX,1996,0.4356911\nMexico,MEX,1997,0.41724387\nMexico,MEX,1998,0.4059876\nMexico,MEX,1999,0.42026377\nMexico,MEX,2000,0.40851814\nMexico,MEX,2001,0.40567923\nMexico,MEX,2002,0.39131635\nMexico,MEX,2003,0.38671434\nMexico,MEX,2004,0.3483266\nMexico,MEX,2005,0.34040463\nMexico,MEX,2006,0.2974834\nMexico,MEX,2007,0.38309243\nMexico,MEX,2008,0.37317675\nMexico,MEX,2009,0.4784888\nMexico,MEX,2010,0.4332299\nMexico,MEX,2011,0.447387\nMexico,MEX,2012,0.45550203\nMexico,MEX,2013,0.48764288\nMexico,MEX,2014,0.49532104\nMexico,MEX,2015,0.4507428\nMexico,MEX,2016,0.48004627\nMexico,MEX,2017,0.42484915\nMexico,MEX,2018,0.46461156\nMexico,MEX,2019,0.5093376\nMexico,MEX,2020,0.7176906\nMexico,MEX,2021,0.65940416\nMexico,MEX,2022,0.68559974\nMexico,MEX,2023,0.66014683\nMexico,MEX,2024,1.1251061\n```\n\nWas military expenditure (% of gdp) in Mexico higher in 2004 or 2011?","response":"Higher in 2011. The chart gives 0.35 % for 2004 and 0.45 % for 2011, a difference of 0.1 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nMexico,MEX,1990,0.43308103\nMexico,MEX,1991,0.4354023\nMexico,MEX,1992,0.46945465\nMexico,MEX,1993,0.4004413\nMexico,MEX,1994,0.47601148\nMexico,MEX,1995,0.41104454\nMexico,MEX,1996,0.4356911\nMexico,MEX,1997,0.41724387\nMexico,MEX,1998,0.4059876\nMexico,MEX,1999,0.42026377\nMexico,MEX,2000,0.40851814\nMexico,MEX,2001,0.40567923\nMexico,MEX,2002,0.39131635\nMexico,MEX,2003,0.38671434\nMexico,MEX,2004,0.3483266\nMexico,MEX,2005,0.34040463\nMexico,MEX,2006,0.2974834\nMexico,MEX,2007,0.38309243\nMexico,MEX,2008,0.37317675\nMexico,MEX,2009,0.4784888\nMexico,MEX,2010,0.4332299\nMexico,MEX,2011,0.447387\nMexico,MEX,2012,0.45550203\nMexico,MEX,2013,0.48764288\nMexico,MEX,2014,0.49532104\nMexico,MEX,2015,0.4507428\nMexico,MEX,2016,0.48004627\nMexico,MEX,2017,0.42484915\nMexico,MEX,2018,0.46461156\nMexico,MEX,2019,0.5093376\nMexico,MEX,2020,0.7176906\nMexico,MEX,2021,0.65940416\nMexico,MEX,2022,0.68559974\nMexico,MEX,2023,0.66014683\nMexico,MEX,2024,1.1251061\n```\n\nAccording to this chart, what was military expenditure (% of gdp) in Mexico in 2020?","response":"Reading the plotted point for 2020, military expenditure (% of gdp) in Mexico was 0.72 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nMexico,MEX,1990,0.43308103\nMexico,MEX,1991,0.4354023\nMexico,MEX,1992,0.46945465\nMexico,MEX,1993,0.4004413\nMexico,MEX,1994,0.47601148\nMexico,MEX,1995,0.41104454\nMexico,MEX,1996,0.4356911\nMexico,MEX,1997,0.41724387\nMexico,MEX,1998,0.4059876\nMexico,MEX,1999,0.42026377\nMexico,MEX,2000,0.40851814\nMexico,MEX,2001,0.40567923\nMexico,MEX,2002,0.39131635\nMexico,MEX,2003,0.38671434\nMexico,MEX,2004,0.3483266\nMexico,MEX,2005,0.34040463\nMexico,MEX,2006,0.2974834\nMexico,MEX,2007,0.38309243\nMexico,MEX,2008,0.37317675\nMexico,MEX,2009,0.4784888\nMexico,MEX,2010,0.4332299\nMexico,MEX,2011,0.447387\nMexico,MEX,2012,0.45550203\nMexico,MEX,2013,0.48764288\nMexico,MEX,2014,0.49532104\nMexico,MEX,2015,0.4507428\nMexico,MEX,2016,0.48004627\nMexico,MEX,2017,0.42484915\nMexico,MEX,2018,0.46461156\nMexico,MEX,2019,0.5093376\nMexico,MEX,2020,0.7176906\nMexico,MEX,2021,0.65940416\nMexico,MEX,2022,0.68559974\nMexico,MEX,2023,0.66014683\nMexico,MEX,2024,1.1251061\n```\n\nIn which year shown does military expenditure (% of gdp) reach its highest value for Mexico?","response":"The series peaks in 2024, at 1.13 %. The lowest point shown is 2006, at 0.3 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nMexico,MEX,1990,0.43308103\nMexico,MEX,1991,0.4354023\nMexico,MEX,1992,0.46945465\nMexico,MEX,1993,0.4004413\nMexico,MEX,1994,0.47601148\nMexico,MEX,1995,0.41104454\nMexico,MEX,1996,0.4356911\nMexico,MEX,1997,0.41724387\nMexico,MEX,1998,0.4059876\nMexico,MEX,1999,0.42026377\nMexico,MEX,2000,0.40851814\nMexico,MEX,2001,0.40567923\nMexico,MEX,2002,0.39131635\nMexico,MEX,2003,0.38671434\nMexico,MEX,2004,0.3483266\nMexico,MEX,2005,0.34040463\nMexico,MEX,2006,0.2974834\nMexico,MEX,2007,0.38309243\nMexico,MEX,2008,0.37317675\nMexico,MEX,2009,0.4784888\nMexico,MEX,2010,0.4332299\nMexico,MEX,2011,0.447387\nMexico,MEX,2012,0.45550203\nMexico,MEX,2013,0.48764288\nMexico,MEX,2014,0.49532104\nMexico,MEX,2015,0.4507428\nMexico,MEX,2016,0.48004627\nMexico,MEX,2017,0.42484915\nMexico,MEX,2018,0.46461156\nMexico,MEX,2019,0.5093376\nMexico,MEX,2020,0.7176906\nMexico,MEX,2021,0.65940416\nMexico,MEX,2022,0.68559974\nMexico,MEX,2023,0.66014683\nMexico,MEX,2024,1.1251061\n```\n\nHow much did military expenditure (% of gdp) change for Mexico between 1990 and 2024?","response":"It moved from 0.43 % in 1990 to 1.13 % in 2024, a change of 0.69 % (+159.79%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nMexico,MEX,1990,0.43308103\nMexico,MEX,1991,0.4354023\nMexico,MEX,1992,0.46945465\nMexico,MEX,1993,0.4004413\nMexico,MEX,1994,0.47601148\nMexico,MEX,1995,0.41104454\nMexico,MEX,1996,0.4356911\nMexico,MEX,1997,0.41724387\nMexico,MEX,1998,0.4059876\nMexico,MEX,1999,0.42026377\nMexico,MEX,2000,0.40851814\nMexico,MEX,2001,0.40567923\nMexico,MEX,2002,0.39131635\nMexico,MEX,2003,0.38671434\nMexico,MEX,2004,0.3483266\nMexico,MEX,2005,0.34040463\nMexico,MEX,2006,0.2974834\nMexico,MEX,2007,0.38309243\nMexico,MEX,2008,0.37317675\nMexico,MEX,2009,0.4784888\nMexico,MEX,2010,0.4332299\nMexico,MEX,2011,0.447387\nMexico,MEX,2012,0.45550203\nMexico,MEX,2013,0.48764288\nMexico,MEX,2014,0.49532104\nMexico,MEX,2015,0.4507428\nMexico,MEX,2016,0.48004627\nMexico,MEX,2017,0.42484915\nMexico,MEX,2018,0.46461156\nMexico,MEX,2019,0.5093376\nMexico,MEX,2020,0.7176906\nMexico,MEX,2021,0.65940416\nMexico,MEX,2022,0.68559974\nMexico,MEX,2023,0.66014683\nMexico,MEX,2024,1.1251061\n```\n\nWas military expenditure (% of gdp) in Mexico higher in 2004 or 2011?","response":"Higher in 2011. The chart gives 0.35 % for 2004 and 0.45 % for 2011, a difference of 0.1 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nMexico,MEX,1990,0.43308103\nMexico,MEX,1991,0.4354023\nMexico,MEX,1992,0.46945465\nMexico,MEX,1993,0.4004413\nMexico,MEX,1994,0.47601148\nMexico,MEX,1995,0.41104454\nMexico,MEX,1996,0.4356911\nMexico,MEX,1997,0.41724387\nMexico,MEX,1998,0.4059876\nMexico,MEX,1999,0.42026377\nMexico,MEX,2000,0.40851814\nMexico,MEX,2001,0.40567923\nMexico,MEX,2002,0.39131635\nMexico,MEX,2003,0.38671434\nMexico,MEX,2004,0.3483266\nMexico,MEX,2005,0.34040463\nMexico,MEX,2006,0.2974834\nMexico,MEX,2007,0.38309243\nMexico,MEX,2008,0.37317675\nMexico,MEX,2009,0.4784888\nMexico,MEX,2010,0.4332299\nMexico,MEX,2011,0.447387\nMexico,MEX,2012,0.45550203\nMexico,MEX,2013,0.48764288\nMexico,MEX,2014,0.49532104\nMexico,MEX,2015,0.4507428\nMexico,MEX,2016,0.48004627\nMexico,MEX,2017,0.42484915\nMexico,MEX,2018,0.46461156\nMexico,MEX,2019,0.5093376\nMexico,MEX,2020,0.7176906\nMexico,MEX,2021,0.65940416\nMexico,MEX,2022,0.68559974\nMexico,MEX,2023,0.66014683\nMexico,MEX,2024,1.1251061\n```\n\nBased on this chart, is military expenditure (% of gdp) in Mexico rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.43 % to 1.13 %, a change of +159.79%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nMexico,MEX,1998,0.4059876\nMexico,MEX,1999,0.42026377\nMexico,MEX,2000,0.40851814\nMexico,MEX,2001,0.40567923\nMexico,MEX,2002,0.39131635\nMexico,MEX,2003,0.38671434\nMexico,MEX,2004,0.3483266\nMexico,MEX,2005,0.34040463\nMexico,MEX,2006,0.2974834\n```\n\nWhat does this chart suggest about the long-run direction of military expenditure (% of gdp) in Mexico?","response":"Within the window shown (1998-2006) the series moves -26.73%, but that window runs against the longer record. Across the full series (1990-2024) the change is +159.79%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nMexico,MEX,1990,0.43308103\nMexico,MEX,1991,0.4354023\nMexico,MEX,1992,0.46945465\nMexico,MEX,1993,0.4004413\nMexico,MEX,1994,0.47601148\nMexico,MEX,1995,0.41104454\nMexico,MEX,1996,0.4356911\nMexico,MEX,1997,0.41724387\nMexico,MEX,1998,0.4059876\nMexico,MEX,1999,0.42026377\nMexico,MEX,2000,0.40851814\nMexico,MEX,2001,0.40567923\nMexico,MEX,2002,0.39131635\nMexico,MEX,2003,0.38671434\nMexico,MEX,2004,0.3483266\nMexico,MEX,2005,0.34040463\nMexico,MEX,2006,0.2974834\nMexico,MEX,2007,0.38309243\nMexico,MEX,2008,0.37317675\nMexico,MEX,2009,0.4784888\nMexico,MEX,2010,0.4332299\nMexico,MEX,2011,0.447387\nMexico,MEX,2012,0.45550203\nMexico,MEX,2013,0.48764288\nMexico,MEX,2014,0.49532104\nMexico,MEX,2015,0.4507428\nMexico,MEX,2016,0.48004627\nMexico,MEX,2017,0.42484915\nMexico,MEX,2018,0.46461156\nMexico,MEX,2019,0.5093376\nMexico,MEX,2020,0.7176906\nMexico,MEX,2021,0.65940416\nMexico,MEX,2022,0.68559974\nMexico,MEX,2023,0.66014683\nMexico,MEX,2024,1.1251061\n```\n\nWhat caused the change in military expenditure (% of gdp) for Mexico around 2024?","response":"The chart shows that the change happened: military expenditure (% of gdp) moves to 1.13 % in 2024. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Mexico__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nTurkey,TUR,1990,3.5277057\nTurkey,TUR,1991,3.7543643\nTurkey,TUR,1992,3.8705666\nTurkey,TUR,1993,3.9214172\nTurkey,TUR,1994,4.051359\nTurkey,TUR,1995,2.8147726\nTurkey,TUR,1996,3.0004284\nTurkey,TUR,1997,2.953551\nTurkey,TUR,1998,3.1811316\nTurkey,TUR,1999,3.8772106\nTurkey,TUR,2000,3.6374106\nTurkey,TUR,2001,3.5688617\nTurkey,TUR,2002,3.7588158\nTurkey,TUR,2003,3.2587721\nTurkey,TUR,2004,2.662591\nTurkey,TUR,2005,2.376705\nTurkey,TUR,2006,2.3293235\nTurkey,TUR,2007,2.1872628\nTurkey,TUR,2008,2.167811\nTurkey,TUR,2009,2.454144\nTurkey,TUR,2010,2.2555203\nTurkey,TUR,2011,2.01452\nTurkey,TUR,2012,1.9986173\nTurkey,TUR,2013,1.9152241\nTurkey,TUR,2014,1.8651949\nTurkey,TUR,2015,1.8104473\nTurkey,TUR,2016,2.047652\nTurkey,TUR,2017,2.0384707\nTurkey,TUR,2018,2.4920666\nTurkey,TUR,2019,2.638384\nTurkey,TUR,2020,2.1557796\nTurkey,TUR,2021,1.8144584\nTurkey,TUR,2022,1.6248041\nTurkey,TUR,2023,1.6852716\nTurkey,TUR,2024,1.8403146\n```\n\nAccording to this chart, what was military expenditure (% of gdp) in Turkey in 2018?","response":"Reading the plotted point for 2018, military expenditure (% of gdp) in Turkey was 2.49 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nTurkey,TUR,1990,3.5277057\nTurkey,TUR,1991,3.7543643\nTurkey,TUR,1992,3.8705666\nTurkey,TUR,1993,3.9214172\nTurkey,TUR,1994,4.051359\nTurkey,TUR,1995,2.8147726\nTurkey,TUR,1996,3.0004284\nTurkey,TUR,1997,2.953551\nTurkey,TUR,1998,3.1811316\nTurkey,TUR,1999,3.8772106\nTurkey,TUR,2000,3.6374106\nTurkey,TUR,2001,3.5688617\nTurkey,TUR,2002,3.7588158\nTurkey,TUR,2003,3.2587721\nTurkey,TUR,2004,2.662591\nTurkey,TUR,2005,2.376705\nTurkey,TUR,2006,2.3293235\nTurkey,TUR,2007,2.1872628\nTurkey,TUR,2008,2.167811\nTurkey,TUR,2009,2.454144\nTurkey,TUR,2010,2.2555203\nTurkey,TUR,2011,2.01452\nTurkey,TUR,2012,1.9986173\nTurkey,TUR,2013,1.9152241\nTurkey,TUR,2014,1.8651949\nTurkey,TUR,2015,1.8104473\nTurkey,TUR,2016,2.047652\nTurkey,TUR,2017,2.0384707\nTurkey,TUR,2018,2.4920666\nTurkey,TUR,2019,2.638384\nTurkey,TUR,2020,2.1557796\nTurkey,TUR,2021,1.8144584\nTurkey,TUR,2022,1.6248041\nTurkey,TUR,2023,1.6852716\nTurkey,TUR,2024,1.8403146\n```\n\nIn which year shown does military expenditure (% of gdp) reach its highest value for Turkey?","response":"The series peaks in 1994, at 4.05 %. The lowest point shown is 2022, at 1.62 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nTurkey,TUR,1990,3.5277057\nTurkey,TUR,1991,3.7543643\nTurkey,TUR,1992,3.8705666\nTurkey,TUR,1993,3.9214172\nTurkey,TUR,1994,4.051359\nTurkey,TUR,1995,2.8147726\nTurkey,TUR,1996,3.0004284\nTurkey,TUR,1997,2.953551\nTurkey,TUR,1998,3.1811316\nTurkey,TUR,1999,3.8772106\nTurkey,TUR,2000,3.6374106\nTurkey,TUR,2001,3.5688617\nTurkey,TUR,2002,3.7588158\nTurkey,TUR,2003,3.2587721\nTurkey,TUR,2004,2.662591\nTurkey,TUR,2005,2.376705\nTurkey,TUR,2006,2.3293235\nTurkey,TUR,2007,2.1872628\nTurkey,TUR,2008,2.167811\nTurkey,TUR,2009,2.454144\nTurkey,TUR,2010,2.2555203\nTurkey,TUR,2011,2.01452\nTurkey,TUR,2012,1.9986173\nTurkey,TUR,2013,1.9152241\nTurkey,TUR,2014,1.8651949\nTurkey,TUR,2015,1.8104473\nTurkey,TUR,2016,2.047652\nTurkey,TUR,2017,2.0384707\nTurkey,TUR,2018,2.4920666\nTurkey,TUR,2019,2.638384\nTurkey,TUR,2020,2.1557796\nTurkey,TUR,2021,1.8144584\nTurkey,TUR,2022,1.6248041\nTurkey,TUR,2023,1.6852716\nTurkey,TUR,2024,1.8403146\n```\n\nHow much did military expenditure (% of gdp) change for Turkey between 1990 and 2024?","response":"It moved from 3.53 % in 1990 to 1.84 % in 2024, a change of -1.69 % (-47.83%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nTurkey,TUR,1990,3.5277057\nTurkey,TUR,1991,3.7543643\nTurkey,TUR,1992,3.8705666\nTurkey,TUR,1993,3.9214172\nTurkey,TUR,1994,4.051359\nTurkey,TUR,1995,2.8147726\nTurkey,TUR,1996,3.0004284\nTurkey,TUR,1997,2.953551\nTurkey,TUR,1998,3.1811316\nTurkey,TUR,1999,3.8772106\nTurkey,TUR,2000,3.6374106\nTurkey,TUR,2001,3.5688617\nTurkey,TUR,2002,3.7588158\nTurkey,TUR,2003,3.2587721\nTurkey,TUR,2004,2.662591\nTurkey,TUR,2005,2.376705\nTurkey,TUR,2006,2.3293235\nTurkey,TUR,2007,2.1872628\nTurkey,TUR,2008,2.167811\nTurkey,TUR,2009,2.454144\nTurkey,TUR,2010,2.2555203\nTurkey,TUR,2011,2.01452\nTurkey,TUR,2012,1.9986173\nTurkey,TUR,2013,1.9152241\nTurkey,TUR,2014,1.8651949\nTurkey,TUR,2015,1.8104473\nTurkey,TUR,2016,2.047652\nTurkey,TUR,2017,2.0384707\nTurkey,TUR,2018,2.4920666\nTurkey,TUR,2019,2.638384\nTurkey,TUR,2020,2.1557796\nTurkey,TUR,2021,1.8144584\nTurkey,TUR,2022,1.6248041\nTurkey,TUR,2023,1.6852716\nTurkey,TUR,2024,1.8403146\n```\n\nWas military expenditure (% of gdp) in Turkey higher in 1992 or 2023?","response":"Higher in 1992. The chart gives 3.87 % for 1992 and 1.69 % for 2023, a difference of 2.19 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nTurkey,TUR,1990,3.5277057\nTurkey,TUR,1991,3.7543643\nTurkey,TUR,1992,3.8705666\nTurkey,TUR,1993,3.9214172\nTurkey,TUR,1994,4.051359\nTurkey,TUR,1995,2.8147726\nTurkey,TUR,1996,3.0004284\nTurkey,TUR,1997,2.953551\nTurkey,TUR,1998,3.1811316\nTurkey,TUR,1999,3.8772106\nTurkey,TUR,2000,3.6374106\nTurkey,TUR,2001,3.5688617\nTurkey,TUR,2002,3.7588158\nTurkey,TUR,2003,3.2587721\nTurkey,TUR,2004,2.662591\nTurkey,TUR,2005,2.376705\nTurkey,TUR,2006,2.3293235\nTurkey,TUR,2007,2.1872628\nTurkey,TUR,2008,2.167811\nTurkey,TUR,2009,2.454144\nTurkey,TUR,2010,2.2555203\nTurkey,TUR,2011,2.01452\nTurkey,TUR,2012,1.9986173\nTurkey,TUR,2013,1.9152241\nTurkey,TUR,2014,1.8651949\nTurkey,TUR,2015,1.8104473\nTurkey,TUR,2016,2.047652\nTurkey,TUR,2017,2.0384707\nTurkey,TUR,2018,2.4920666\nTurkey,TUR,2019,2.638384\nTurkey,TUR,2020,2.1557796\nTurkey,TUR,2021,1.8144584\nTurkey,TUR,2022,1.6248041\nTurkey,TUR,2023,1.6852716\nTurkey,TUR,2024,1.8403146\n```\n\nAccording to this chart, what was military expenditure (% of gdp) in Turkey in 2018?","response":"Reading the plotted point for 2018, military expenditure (% of gdp) in Turkey was 2.49 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nTurkey,TUR,1990,3.5277057\nTurkey,TUR,1991,3.7543643\nTurkey,TUR,1992,3.8705666\nTurkey,TUR,1993,3.9214172\nTurkey,TUR,1994,4.051359\nTurkey,TUR,1995,2.8147726\nTurkey,TUR,1996,3.0004284\nTurkey,TUR,1997,2.953551\nTurkey,TUR,1998,3.1811316\nTurkey,TUR,1999,3.8772106\nTurkey,TUR,2000,3.6374106\nTurkey,TUR,2001,3.5688617\nTurkey,TUR,2002,3.7588158\nTurkey,TUR,2003,3.2587721\nTurkey,TUR,2004,2.662591\nTurkey,TUR,2005,2.376705\nTurkey,TUR,2006,2.3293235\nTurkey,TUR,2007,2.1872628\nTurkey,TUR,2008,2.167811\nTurkey,TUR,2009,2.454144\nTurkey,TUR,2010,2.2555203\nTurkey,TUR,2011,2.01452\nTurkey,TUR,2012,1.9986173\nTurkey,TUR,2013,1.9152241\nTurkey,TUR,2014,1.8651949\nTurkey,TUR,2015,1.8104473\nTurkey,TUR,2016,2.047652\nTurkey,TUR,2017,2.0384707\nTurkey,TUR,2018,2.4920666\nTurkey,TUR,2019,2.638384\nTurkey,TUR,2020,2.1557796\nTurkey,TUR,2021,1.8144584\nTurkey,TUR,2022,1.6248041\nTurkey,TUR,2023,1.6852716\nTurkey,TUR,2024,1.8403146\n```\n\nIn which year shown does military expenditure (% of gdp) reach its highest value for Turkey?","response":"The series peaks in 1994, at 4.05 %. The lowest point shown is 2022, at 1.62 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nTurkey,TUR,1990,3.5277057\nTurkey,TUR,1991,3.7543643\nTurkey,TUR,1992,3.8705666\nTurkey,TUR,1993,3.9214172\nTurkey,TUR,1994,4.051359\nTurkey,TUR,1995,2.8147726\nTurkey,TUR,1996,3.0004284\nTurkey,TUR,1997,2.953551\nTurkey,TUR,1998,3.1811316\nTurkey,TUR,1999,3.8772106\nTurkey,TUR,2000,3.6374106\nTurkey,TUR,2001,3.5688617\nTurkey,TUR,2002,3.7588158\nTurkey,TUR,2003,3.2587721\nTurkey,TUR,2004,2.662591\nTurkey,TUR,2005,2.376705\nTurkey,TUR,2006,2.3293235\nTurkey,TUR,2007,2.1872628\nTurkey,TUR,2008,2.167811\nTurkey,TUR,2009,2.454144\nTurkey,TUR,2010,2.2555203\nTurkey,TUR,2011,2.01452\nTurkey,TUR,2012,1.9986173\nTurkey,TUR,2013,1.9152241\nTurkey,TUR,2014,1.8651949\nTurkey,TUR,2015,1.8104473\nTurkey,TUR,2016,2.047652\nTurkey,TUR,2017,2.0384707\nTurkey,TUR,2018,2.4920666\nTurkey,TUR,2019,2.638384\nTurkey,TUR,2020,2.1557796\nTurkey,TUR,2021,1.8144584\nTurkey,TUR,2022,1.6248041\nTurkey,TUR,2023,1.6852716\nTurkey,TUR,2024,1.8403146\n```\n\nHow much did military expenditure (% of gdp) change for Turkey between 1990 and 2024?","response":"It moved from 3.53 % in 1990 to 1.84 % in 2024, a change of -1.69 % (-47.83%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nTurkey,TUR,1990,3.5277057\nTurkey,TUR,1991,3.7543643\nTurkey,TUR,1992,3.8705666\nTurkey,TUR,1993,3.9214172\nTurkey,TUR,1994,4.051359\nTurkey,TUR,1995,2.8147726\nTurkey,TUR,1996,3.0004284\nTurkey,TUR,1997,2.953551\nTurkey,TUR,1998,3.1811316\nTurkey,TUR,1999,3.8772106\nTurkey,TUR,2000,3.6374106\nTurkey,TUR,2001,3.5688617\nTurkey,TUR,2002,3.7588158\nTurkey,TUR,2003,3.2587721\nTurkey,TUR,2004,2.662591\nTurkey,TUR,2005,2.376705\nTurkey,TUR,2006,2.3293235\nTurkey,TUR,2007,2.1872628\nTurkey,TUR,2008,2.167811\nTurkey,TUR,2009,2.454144\nTurkey,TUR,2010,2.2555203\nTurkey,TUR,2011,2.01452\nTurkey,TUR,2012,1.9986173\nTurkey,TUR,2013,1.9152241\nTurkey,TUR,2014,1.8651949\nTurkey,TUR,2015,1.8104473\nTurkey,TUR,2016,2.047652\nTurkey,TUR,2017,2.0384707\nTurkey,TUR,2018,2.4920666\nTurkey,TUR,2019,2.638384\nTurkey,TUR,2020,2.1557796\nTurkey,TUR,2021,1.8144584\nTurkey,TUR,2022,1.6248041\nTurkey,TUR,2023,1.6852716\nTurkey,TUR,2024,1.8403146\n```\n\nWas military expenditure (% of gdp) in Turkey higher in 1992 or 2023?","response":"Higher in 1992. The chart gives 3.87 % for 1992 and 1.69 % for 2023, a difference of 2.19 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nTurkey,TUR,1990,3.5277057\nTurkey,TUR,1991,3.7543643\nTurkey,TUR,1992,3.8705666\nTurkey,TUR,1993,3.9214172\nTurkey,TUR,1994,4.051359\nTurkey,TUR,1995,2.8147726\nTurkey,TUR,1996,3.0004284\nTurkey,TUR,1997,2.953551\nTurkey,TUR,1998,3.1811316\nTurkey,TUR,1999,3.8772106\nTurkey,TUR,2000,3.6374106\nTurkey,TUR,2001,3.5688617\nTurkey,TUR,2002,3.7588158\nTurkey,TUR,2003,3.2587721\nTurkey,TUR,2004,2.662591\nTurkey,TUR,2005,2.376705\nTurkey,TUR,2006,2.3293235\nTurkey,TUR,2007,2.1872628\nTurkey,TUR,2008,2.167811\nTurkey,TUR,2009,2.454144\nTurkey,TUR,2010,2.2555203\nTurkey,TUR,2011,2.01452\nTurkey,TUR,2012,1.9986173\nTurkey,TUR,2013,1.9152241\nTurkey,TUR,2014,1.8651949\nTurkey,TUR,2015,1.8104473\nTurkey,TUR,2016,2.047652\nTurkey,TUR,2017,2.0384707\nTurkey,TUR,2018,2.4920666\nTurkey,TUR,2019,2.638384\nTurkey,TUR,2020,2.1557796\nTurkey,TUR,2021,1.8144584\nTurkey,TUR,2022,1.6248041\nTurkey,TUR,2023,1.6852716\nTurkey,TUR,2024,1.8403146\n```\n\nThis chart makes the change in military expenditure (% of gdp) for Turkey look dramatic. Is it?","response":"The values change by -47.83%, from 3.53 % to 1.84 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nTurkey,TUR,1995,2.8147726\nTurkey,TUR,1996,3.0004284\nTurkey,TUR,1997,2.953551\nTurkey,TUR,1998,3.1811316\nTurkey,TUR,1999,3.8772106\nTurkey,TUR,2000,3.6374106\nTurkey,TUR,2001,3.5688617\nTurkey,TUR,2002,3.7588158\nTurkey,TUR,2003,3.2587721\n```\n\nWhat does this chart suggest about the long-run direction of military expenditure (% of gdp) in Turkey?","response":"Within the window shown (1995-2003) the series moves +15.77%, but that window runs against the longer record. Across the full series (1990-2024) the change is -47.83%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nTurkey,TUR,1990,3.5277057\nTurkey,TUR,1991,3.7543643\nTurkey,TUR,1992,3.8705666\nTurkey,TUR,1993,3.9214172\nTurkey,TUR,1994,4.051359\nTurkey,TUR,1995,2.8147726\nTurkey,TUR,1996,3.0004284\nTurkey,TUR,1997,2.953551\nTurkey,TUR,1998,3.1811316\nTurkey,TUR,1999,3.8772106\nTurkey,TUR,2000,3.6374106\nTurkey,TUR,2001,3.5688617\nTurkey,TUR,2002,3.7588158\nTurkey,TUR,2003,3.2587721\nTurkey,TUR,2004,2.662591\nTurkey,TUR,2005,2.376705\nTurkey,TUR,2006,2.3293235\nTurkey,TUR,2007,2.1872628\nTurkey,TUR,2008,2.167811\nTurkey,TUR,2009,2.454144\nTurkey,TUR,2010,2.2555203\nTurkey,TUR,2011,2.01452\nTurkey,TUR,2012,1.9986173\nTurkey,TUR,2013,1.9152241\nTurkey,TUR,2014,1.8651949\nTurkey,TUR,2015,1.8104473\nTurkey,TUR,2016,2.047652\nTurkey,TUR,2017,2.0384707\nTurkey,TUR,2018,2.4920666\nTurkey,TUR,2019,2.638384\nTurkey,TUR,2020,2.1557796\nTurkey,TUR,2021,1.8144584\nTurkey,TUR,2022,1.6248041\nTurkey,TUR,2023,1.6852716\nTurkey,TUR,2024,1.8403146\n```\n\nHow does Turkey compare with Nigeria on this measure?","response":"This chart covers Turkey only, so Nigeria is not plotted and I cannot compare them from it. The chart does support statements about Turkey on its own: the series runs from 3.53 % in 1990 to 1.84 % in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Turkey__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nVietnam,VNM,1990,7.9108567\nVietnam,VNM,1991,5.595317\nVietnam,VNM,1992,3.3745885\nVietnam,VNM,1993,2.2586946\nVietnam,VNM,1994,2.6493554\nVietnam,VNM,2003,2.1286411\nVietnam,VNM,2004,2.0143797\nVietnam,VNM,2005,1.7809609\nVietnam,VNM,2006,1.9383646\nVietnam,VNM,2007,2.3047574\nVietnam,VNM,2008,2.070175\nVietnam,VNM,2009,2.7285204\nVietnam,VNM,2010,1.8393388\nVietnam,VNM,2011,1.7552849\nVietnam,VNM,2012,2.4229445\nVietnam,VNM,2013,2.5839047\nVietnam,VNM,2014,2.4115098\nVietnam,VNM,2015,2.5545506\nVietnam,VNM,2016,2.460935\nVietnam,VNM,2017,2.2763612\nVietnam,VNM,2018,2.2230997\nVietnam,VNM,2019,2.1701136\nVietnam,VNM,2020,2.065689\nVietnam,VNM,2021,2.0537202\nVietnam,VNM,2022,1.7156181\nVietnam,VNM,2023,1.833966\nVietnam,VNM,2024,1.8032348\n```\n\nAccording to this chart, what was military expenditure (% of gdp) in Vietnam in 2022?","response":"Reading the plotted point for 2022, military expenditure (% of gdp) in Vietnam was 1.72 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nVietnam,VNM,1990,7.9108567\nVietnam,VNM,1991,5.595317\nVietnam,VNM,1992,3.3745885\nVietnam,VNM,1993,2.2586946\nVietnam,VNM,1994,2.6493554\nVietnam,VNM,2003,2.1286411\nVietnam,VNM,2004,2.0143797\nVietnam,VNM,2005,1.7809609\nVietnam,VNM,2006,1.9383646\nVietnam,VNM,2007,2.3047574\nVietnam,VNM,2008,2.070175\nVietnam,VNM,2009,2.7285204\nVietnam,VNM,2010,1.8393388\nVietnam,VNM,2011,1.7552849\nVietnam,VNM,2012,2.4229445\nVietnam,VNM,2013,2.5839047\nVietnam,VNM,2014,2.4115098\nVietnam,VNM,2015,2.5545506\nVietnam,VNM,2016,2.460935\nVietnam,VNM,2017,2.2763612\nVietnam,VNM,2018,2.2230997\nVietnam,VNM,2019,2.1701136\nVietnam,VNM,2020,2.065689\nVietnam,VNM,2021,2.0537202\nVietnam,VNM,2022,1.7156181\nVietnam,VNM,2023,1.833966\nVietnam,VNM,2024,1.8032348\n```\n\nIn which year shown does military expenditure (% of gdp) reach its highest value for Vietnam?","response":"The series peaks in 1990, at 7.91 %. The lowest point shown is 2022, at 1.72 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nVietnam,VNM,1990,7.9108567\nVietnam,VNM,1991,5.595317\nVietnam,VNM,1992,3.3745885\nVietnam,VNM,1993,2.2586946\nVietnam,VNM,1994,2.6493554\nVietnam,VNM,2003,2.1286411\nVietnam,VNM,2004,2.0143797\nVietnam,VNM,2005,1.7809609\nVietnam,VNM,2006,1.9383646\nVietnam,VNM,2007,2.3047574\nVietnam,VNM,2008,2.070175\nVietnam,VNM,2009,2.7285204\nVietnam,VNM,2010,1.8393388\nVietnam,VNM,2011,1.7552849\nVietnam,VNM,2012,2.4229445\nVietnam,VNM,2013,2.5839047\nVietnam,VNM,2014,2.4115098\nVietnam,VNM,2015,2.5545506\nVietnam,VNM,2016,2.460935\nVietnam,VNM,2017,2.2763612\nVietnam,VNM,2018,2.2230997\nVietnam,VNM,2019,2.1701136\nVietnam,VNM,2020,2.065689\nVietnam,VNM,2021,2.0537202\nVietnam,VNM,2022,1.7156181\nVietnam,VNM,2023,1.833966\nVietnam,VNM,2024,1.8032348\n```\n\nHow much did military expenditure (% of gdp) change for Vietnam between 1990 and 2024?","response":"It moved from 7.91 % in 1990 to 1.8 % in 2024, a change of -6.11 % (-77.21%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nVietnam,VNM,1990,7.9108567\nVietnam,VNM,1991,5.595317\nVietnam,VNM,1992,3.3745885\nVietnam,VNM,1993,2.2586946\nVietnam,VNM,1994,2.6493554\nVietnam,VNM,2003,2.1286411\nVietnam,VNM,2004,2.0143797\nVietnam,VNM,2005,1.7809609\nVietnam,VNM,2006,1.9383646\nVietnam,VNM,2007,2.3047574\nVietnam,VNM,2008,2.070175\nVietnam,VNM,2009,2.7285204\nVietnam,VNM,2010,1.8393388\nVietnam,VNM,2011,1.7552849\nVietnam,VNM,2012,2.4229445\nVietnam,VNM,2013,2.5839047\nVietnam,VNM,2014,2.4115098\nVietnam,VNM,2015,2.5545506\nVietnam,VNM,2016,2.460935\nVietnam,VNM,2017,2.2763612\nVietnam,VNM,2018,2.2230997\nVietnam,VNM,2019,2.1701136\nVietnam,VNM,2020,2.065689\nVietnam,VNM,2021,2.0537202\nVietnam,VNM,2022,1.7156181\nVietnam,VNM,2023,1.833966\nVietnam,VNM,2024,1.8032348\n```\n\nWas military expenditure (% of gdp) in Vietnam higher in 2003 or 2019?","response":"Higher in 2019. The chart gives 2.13 % for 2003 and 2.17 % for 2019, a difference of 0.04 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nVietnam,VNM,1990,7.9108567\nVietnam,VNM,1991,5.595317\nVietnam,VNM,1992,3.3745885\nVietnam,VNM,1993,2.2586946\nVietnam,VNM,1994,2.6493554\nVietnam,VNM,2003,2.1286411\nVietnam,VNM,2004,2.0143797\nVietnam,VNM,2005,1.7809609\nVietnam,VNM,2006,1.9383646\nVietnam,VNM,2007,2.3047574\nVietnam,VNM,2008,2.070175\nVietnam,VNM,2009,2.7285204\nVietnam,VNM,2010,1.8393388\nVietnam,VNM,2011,1.7552849\nVietnam,VNM,2012,2.4229445\nVietnam,VNM,2013,2.5839047\nVietnam,VNM,2014,2.4115098\nVietnam,VNM,2015,2.5545506\nVietnam,VNM,2016,2.460935\nVietnam,VNM,2017,2.2763612\nVietnam,VNM,2018,2.2230997\nVietnam,VNM,2019,2.1701136\nVietnam,VNM,2020,2.065689\nVietnam,VNM,2021,2.0537202\nVietnam,VNM,2022,1.7156181\nVietnam,VNM,2023,1.833966\nVietnam,VNM,2024,1.8032348\n```\n\nAccording to this chart, what was military expenditure (% of gdp) in Vietnam in 2022?","response":"Reading the plotted point for 2022, military expenditure (% of gdp) in Vietnam was 1.72 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nVietnam,VNM,1990,7.9108567\nVietnam,VNM,1991,5.595317\nVietnam,VNM,1992,3.3745885\nVietnam,VNM,1993,2.2586946\nVietnam,VNM,1994,2.6493554\nVietnam,VNM,2003,2.1286411\nVietnam,VNM,2004,2.0143797\nVietnam,VNM,2005,1.7809609\nVietnam,VNM,2006,1.9383646\nVietnam,VNM,2007,2.3047574\nVietnam,VNM,2008,2.070175\nVietnam,VNM,2009,2.7285204\nVietnam,VNM,2010,1.8393388\nVietnam,VNM,2011,1.7552849\nVietnam,VNM,2012,2.4229445\nVietnam,VNM,2013,2.5839047\nVietnam,VNM,2014,2.4115098\nVietnam,VNM,2015,2.5545506\nVietnam,VNM,2016,2.460935\nVietnam,VNM,2017,2.2763612\nVietnam,VNM,2018,2.2230997\nVietnam,VNM,2019,2.1701136\nVietnam,VNM,2020,2.065689\nVietnam,VNM,2021,2.0537202\nVietnam,VNM,2022,1.7156181\nVietnam,VNM,2023,1.833966\nVietnam,VNM,2024,1.8032348\n```\n\nIn which year shown does military expenditure (% of gdp) reach its highest value for Vietnam?","response":"The series peaks in 1990, at 7.91 %. The lowest point shown is 2022, at 1.72 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nVietnam,VNM,1990,7.9108567\nVietnam,VNM,1991,5.595317\nVietnam,VNM,1992,3.3745885\nVietnam,VNM,1993,2.2586946\nVietnam,VNM,1994,2.6493554\nVietnam,VNM,2003,2.1286411\nVietnam,VNM,2004,2.0143797\nVietnam,VNM,2005,1.7809609\nVietnam,VNM,2006,1.9383646\nVietnam,VNM,2007,2.3047574\nVietnam,VNM,2008,2.070175\nVietnam,VNM,2009,2.7285204\nVietnam,VNM,2010,1.8393388\nVietnam,VNM,2011,1.7552849\nVietnam,VNM,2012,2.4229445\nVietnam,VNM,2013,2.5839047\nVietnam,VNM,2014,2.4115098\nVietnam,VNM,2015,2.5545506\nVietnam,VNM,2016,2.460935\nVietnam,VNM,2017,2.2763612\nVietnam,VNM,2018,2.2230997\nVietnam,VNM,2019,2.1701136\nVietnam,VNM,2020,2.065689\nVietnam,VNM,2021,2.0537202\nVietnam,VNM,2022,1.7156181\nVietnam,VNM,2023,1.833966\nVietnam,VNM,2024,1.8032348\n```\n\nHow much did military expenditure (% of gdp) change for Vietnam between 1990 and 2024?","response":"It moved from 7.91 % in 1990 to 1.8 % in 2024, a change of -6.11 % (-77.21%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nVietnam,VNM,1990,7.9108567\nVietnam,VNM,1991,5.595317\nVietnam,VNM,1992,3.3745885\nVietnam,VNM,1993,2.2586946\nVietnam,VNM,1994,2.6493554\nVietnam,VNM,2003,2.1286411\nVietnam,VNM,2004,2.0143797\nVietnam,VNM,2005,1.7809609\nVietnam,VNM,2006,1.9383646\nVietnam,VNM,2007,2.3047574\nVietnam,VNM,2008,2.070175\nVietnam,VNM,2009,2.7285204\nVietnam,VNM,2010,1.8393388\nVietnam,VNM,2011,1.7552849\nVietnam,VNM,2012,2.4229445\nVietnam,VNM,2013,2.5839047\nVietnam,VNM,2014,2.4115098\nVietnam,VNM,2015,2.5545506\nVietnam,VNM,2016,2.460935\nVietnam,VNM,2017,2.2763612\nVietnam,VNM,2018,2.2230997\nVietnam,VNM,2019,2.1701136\nVietnam,VNM,2020,2.065689\nVietnam,VNM,2021,2.0537202\nVietnam,VNM,2022,1.7156181\nVietnam,VNM,2023,1.833966\nVietnam,VNM,2024,1.8032348\n```\n\nWas military expenditure (% of gdp) in Vietnam higher in 2003 or 2019?","response":"Higher in 2019. The chart gives 2.13 % for 2003 and 2.17 % for 2019, a difference of 0.04 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nVietnam,VNM,1990,7.9108567\nVietnam,VNM,1991,5.595317\nVietnam,VNM,1992,3.3745885\nVietnam,VNM,1993,2.2586946\nVietnam,VNM,1994,2.6493554\nVietnam,VNM,2003,2.1286411\nVietnam,VNM,2004,2.0143797\nVietnam,VNM,2005,1.7809609\nVietnam,VNM,2006,1.9383646\nVietnam,VNM,2007,2.3047574\nVietnam,VNM,2008,2.070175\nVietnam,VNM,2009,2.7285204\nVietnam,VNM,2010,1.8393388\nVietnam,VNM,2011,1.7552849\nVietnam,VNM,2012,2.4229445\nVietnam,VNM,2013,2.5839047\nVietnam,VNM,2014,2.4115098\nVietnam,VNM,2015,2.5545506\nVietnam,VNM,2016,2.460935\nVietnam,VNM,2017,2.2763612\nVietnam,VNM,2018,2.2230997\nVietnam,VNM,2019,2.1701136\nVietnam,VNM,2020,2.065689\nVietnam,VNM,2021,2.0537202\nVietnam,VNM,2022,1.7156181\nVietnam,VNM,2023,1.833966\nVietnam,VNM,2024,1.8032348\n```\n\nThis chart makes the change in military expenditure (% of gdp) for Vietnam look dramatic. Is it?","response":"The values change by -77.21%, from 7.91 % to 1.8 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nVietnam,VNM,2005,1.7809609\nVietnam,VNM,2006,1.9383646\nVietnam,VNM,2007,2.3047574\nVietnam,VNM,2008,2.070175\nVietnam,VNM,2009,2.7285204\nVietnam,VNM,2010,1.8393388\nVietnam,VNM,2011,1.7552849\nVietnam,VNM,2012,2.4229445\nVietnam,VNM,2013,2.5839047\nVietnam,VNM,2014,2.4115098\nVietnam,VNM,2015,2.5545506\n```\n\nWhat does this chart suggest about the long-run direction of military expenditure (% of gdp) in Vietnam?","response":"Within the window shown (2005-2015) the series moves +43.44%, but that window runs against the longer record. Across the full series (1990-2024) the change is -77.21%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Military expenditure (% of GDP)\nVietnam,VNM,1990,7.9108567\nVietnam,VNM,1991,5.595317\nVietnam,VNM,1992,3.3745885\nVietnam,VNM,1993,2.2586946\nVietnam,VNM,1994,2.6493554\nVietnam,VNM,2003,2.1286411\nVietnam,VNM,2004,2.0143797\nVietnam,VNM,2005,1.7809609\nVietnam,VNM,2006,1.9383646\nVietnam,VNM,2007,2.3047574\nVietnam,VNM,2008,2.070175\nVietnam,VNM,2009,2.7285204\nVietnam,VNM,2010,1.8393388\nVietnam,VNM,2011,1.7552849\nVietnam,VNM,2012,2.4229445\nVietnam,VNM,2013,2.5839047\nVietnam,VNM,2014,2.4115098\nVietnam,VNM,2015,2.5545506\nVietnam,VNM,2016,2.460935\nVietnam,VNM,2017,2.2763612\nVietnam,VNM,2018,2.2230997\nVietnam,VNM,2019,2.1701136\nVietnam,VNM,2020,2.065689\nVietnam,VNM,2021,2.0537202\nVietnam,VNM,2022,1.7156181\nVietnam,VNM,2023,1.833966\nVietnam,VNM,2024,1.8032348\n```\n\nWhat caused the change in military expenditure (% of gdp) for Vietnam around 1991?","response":"The chart shows that the change happened: military expenditure (% of gdp) moves to 5.6 % in 1991. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/military-expenditure-share-gdp__Vietnam__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Military spending as a share of GDP","source_citation":"Stockholm International Peace Research Institute (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/military-spending-as-a-share-of-gdp-sipri?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nVietnam,VNM,2000,47.0\nVietnam,VNM,2001,44.0\nVietnam,VNM,2002,39.0\nVietnam,VNM,2003,39.0\nVietnam,VNM,2004,35.0\nVietnam,VNM,2005,36.0\nVietnam,VNM,2006,34.0\nVietnam,VNM,2007,30.0\nVietnam,VNM,2008,27.0\nVietnam,VNM,2009,30.0\nVietnam,VNM,2010,28.0\nVietnam,VNM,2011,26.0\nVietnam,VNM,2012,23.0\nVietnam,VNM,2013,22.0\nVietnam,VNM,2014,21.0\nVietnam,VNM,2015,18.0\nVietnam,VNM,2016,16.0\nVietnam,VNM,2017,15.0\nVietnam,VNM,2018,13.0\nVietnam,VNM,2019,12.0\nVietnam,VNM,2020,12.0\nVietnam,VNM,2021,12.0\nVietnam,VNM,2022,14.0\nVietnam,VNM,2023,13.0\nVietnam,VNM,2024,12.0\n```\n\nAccording to this chart, what was estimated mortality from all forms of tuberculosis per 100,000 population in Vietnam in 2017?","response":"Reading the plotted point for 2017, estimated mortality from all forms of tuberculosis per 100,000 population in Vietnam was 15 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nVietnam,VNM,2000,47.0\nVietnam,VNM,2001,44.0\nVietnam,VNM,2002,39.0\nVietnam,VNM,2003,39.0\nVietnam,VNM,2004,35.0\nVietnam,VNM,2005,36.0\nVietnam,VNM,2006,34.0\nVietnam,VNM,2007,30.0\nVietnam,VNM,2008,27.0\nVietnam,VNM,2009,30.0\nVietnam,VNM,2010,28.0\nVietnam,VNM,2011,26.0\nVietnam,VNM,2012,23.0\nVietnam,VNM,2013,22.0\nVietnam,VNM,2014,21.0\nVietnam,VNM,2015,18.0\nVietnam,VNM,2016,16.0\nVietnam,VNM,2017,15.0\nVietnam,VNM,2018,13.0\nVietnam,VNM,2019,12.0\nVietnam,VNM,2020,12.0\nVietnam,VNM,2021,12.0\nVietnam,VNM,2022,14.0\nVietnam,VNM,2023,13.0\nVietnam,VNM,2024,12.0\n```\n\nIn which year shown does estimated mortality from all forms of tuberculosis per 100,000 population reach its highest value for Vietnam?","response":"The series peaks in 2000, at 47 deaths per 100,000 people. The lowest point shown is 2019, at 12 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nVietnam,VNM,2000,47.0\nVietnam,VNM,2001,44.0\nVietnam,VNM,2002,39.0\nVietnam,VNM,2003,39.0\nVietnam,VNM,2004,35.0\nVietnam,VNM,2005,36.0\nVietnam,VNM,2006,34.0\nVietnam,VNM,2007,30.0\nVietnam,VNM,2008,27.0\nVietnam,VNM,2009,30.0\nVietnam,VNM,2010,28.0\nVietnam,VNM,2011,26.0\nVietnam,VNM,2012,23.0\nVietnam,VNM,2013,22.0\nVietnam,VNM,2014,21.0\nVietnam,VNM,2015,18.0\nVietnam,VNM,2016,16.0\nVietnam,VNM,2017,15.0\nVietnam,VNM,2018,13.0\nVietnam,VNM,2019,12.0\nVietnam,VNM,2020,12.0\nVietnam,VNM,2021,12.0\nVietnam,VNM,2022,14.0\nVietnam,VNM,2023,13.0\nVietnam,VNM,2024,12.0\n```\n\nHow much did estimated mortality from all forms of tuberculosis per 100,000 population change for Vietnam between 2000 and 2024?","response":"It moved from 47 deaths per 100,000 people in 2000 to 12 deaths per 100,000 people in 2024, a change of -35 deaths per 100,000 people (-74.47%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nVietnam,VNM,2000,47.0\nVietnam,VNM,2001,44.0\nVietnam,VNM,2002,39.0\nVietnam,VNM,2003,39.0\nVietnam,VNM,2004,35.0\nVietnam,VNM,2005,36.0\nVietnam,VNM,2006,34.0\nVietnam,VNM,2007,30.0\nVietnam,VNM,2008,27.0\nVietnam,VNM,2009,30.0\nVietnam,VNM,2010,28.0\nVietnam,VNM,2011,26.0\nVietnam,VNM,2012,23.0\nVietnam,VNM,2013,22.0\nVietnam,VNM,2014,21.0\nVietnam,VNM,2015,18.0\nVietnam,VNM,2016,16.0\nVietnam,VNM,2017,15.0\nVietnam,VNM,2018,13.0\nVietnam,VNM,2019,12.0\nVietnam,VNM,2020,12.0\nVietnam,VNM,2021,12.0\nVietnam,VNM,2022,14.0\nVietnam,VNM,2023,13.0\nVietnam,VNM,2024,12.0\n```\n\nWas estimated mortality from all forms of tuberculosis per 100,000 population in Vietnam higher in 2003 or 2017?","response":"Higher in 2003. The chart gives 39 deaths per 100,000 people for 2003 and 15 deaths per 100,000 people for 2017, a difference of 24 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nVietnam,VNM,2000,47.0\nVietnam,VNM,2001,44.0\nVietnam,VNM,2002,39.0\nVietnam,VNM,2003,39.0\nVietnam,VNM,2004,35.0\nVietnam,VNM,2005,36.0\nVietnam,VNM,2006,34.0\nVietnam,VNM,2007,30.0\nVietnam,VNM,2008,27.0\nVietnam,VNM,2009,30.0\nVietnam,VNM,2010,28.0\nVietnam,VNM,2011,26.0\nVietnam,VNM,2012,23.0\nVietnam,VNM,2013,22.0\nVietnam,VNM,2014,21.0\nVietnam,VNM,2015,18.0\nVietnam,VNM,2016,16.0\nVietnam,VNM,2017,15.0\nVietnam,VNM,2018,13.0\nVietnam,VNM,2019,12.0\nVietnam,VNM,2020,12.0\nVietnam,VNM,2021,12.0\nVietnam,VNM,2022,14.0\nVietnam,VNM,2023,13.0\nVietnam,VNM,2024,12.0\n```\n\nAccording to this chart, what was estimated mortality from all forms of tuberculosis per 100,000 population in Vietnam in 2017?","response":"Reading the plotted point for 2017, estimated mortality from all forms of tuberculosis per 100,000 population in Vietnam was 15 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nVietnam,VNM,2000,47.0\nVietnam,VNM,2001,44.0\nVietnam,VNM,2002,39.0\nVietnam,VNM,2003,39.0\nVietnam,VNM,2004,35.0\nVietnam,VNM,2005,36.0\nVietnam,VNM,2006,34.0\nVietnam,VNM,2007,30.0\nVietnam,VNM,2008,27.0\nVietnam,VNM,2009,30.0\nVietnam,VNM,2010,28.0\nVietnam,VNM,2011,26.0\nVietnam,VNM,2012,23.0\nVietnam,VNM,2013,22.0\nVietnam,VNM,2014,21.0\nVietnam,VNM,2015,18.0\nVietnam,VNM,2016,16.0\nVietnam,VNM,2017,15.0\nVietnam,VNM,2018,13.0\nVietnam,VNM,2019,12.0\nVietnam,VNM,2020,12.0\nVietnam,VNM,2021,12.0\nVietnam,VNM,2022,14.0\nVietnam,VNM,2023,13.0\nVietnam,VNM,2024,12.0\n```\n\nIn which year shown does estimated mortality from all forms of tuberculosis per 100,000 population reach its highest value for Vietnam?","response":"The series peaks in 2000, at 47 deaths per 100,000 people. The lowest point shown is 2019, at 12 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nVietnam,VNM,2000,47.0\nVietnam,VNM,2001,44.0\nVietnam,VNM,2002,39.0\nVietnam,VNM,2003,39.0\nVietnam,VNM,2004,35.0\nVietnam,VNM,2005,36.0\nVietnam,VNM,2006,34.0\nVietnam,VNM,2007,30.0\nVietnam,VNM,2008,27.0\nVietnam,VNM,2009,30.0\nVietnam,VNM,2010,28.0\nVietnam,VNM,2011,26.0\nVietnam,VNM,2012,23.0\nVietnam,VNM,2013,22.0\nVietnam,VNM,2014,21.0\nVietnam,VNM,2015,18.0\nVietnam,VNM,2016,16.0\nVietnam,VNM,2017,15.0\nVietnam,VNM,2018,13.0\nVietnam,VNM,2019,12.0\nVietnam,VNM,2020,12.0\nVietnam,VNM,2021,12.0\nVietnam,VNM,2022,14.0\nVietnam,VNM,2023,13.0\nVietnam,VNM,2024,12.0\n```\n\nHow much did estimated mortality from all forms of tuberculosis per 100,000 population change for Vietnam between 2000 and 2024?","response":"It moved from 47 deaths per 100,000 people in 2000 to 12 deaths per 100,000 people in 2024, a change of -35 deaths per 100,000 people (-74.47%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nVietnam,VNM,2000,47.0\nVietnam,VNM,2001,44.0\nVietnam,VNM,2002,39.0\nVietnam,VNM,2003,39.0\nVietnam,VNM,2004,35.0\nVietnam,VNM,2005,36.0\nVietnam,VNM,2006,34.0\nVietnam,VNM,2007,30.0\nVietnam,VNM,2008,27.0\nVietnam,VNM,2009,30.0\nVietnam,VNM,2010,28.0\nVietnam,VNM,2011,26.0\nVietnam,VNM,2012,23.0\nVietnam,VNM,2013,22.0\nVietnam,VNM,2014,21.0\nVietnam,VNM,2015,18.0\nVietnam,VNM,2016,16.0\nVietnam,VNM,2017,15.0\nVietnam,VNM,2018,13.0\nVietnam,VNM,2019,12.0\nVietnam,VNM,2020,12.0\nVietnam,VNM,2021,12.0\nVietnam,VNM,2022,14.0\nVietnam,VNM,2023,13.0\nVietnam,VNM,2024,12.0\n```\n\nWas estimated mortality from all forms of tuberculosis per 100,000 population in Vietnam higher in 2003 or 2017?","response":"Higher in 2003. The chart gives 39 deaths per 100,000 people for 2003 and 15 deaths per 100,000 people for 2017, a difference of 24 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nVietnam,VNM,2000,47.0\nVietnam,VNM,2001,44.0\nVietnam,VNM,2002,39.0\nVietnam,VNM,2003,39.0\nVietnam,VNM,2004,35.0\nVietnam,VNM,2005,36.0\nVietnam,VNM,2006,34.0\nVietnam,VNM,2007,30.0\nVietnam,VNM,2008,27.0\nVietnam,VNM,2009,30.0\nVietnam,VNM,2010,28.0\nVietnam,VNM,2011,26.0\nVietnam,VNM,2012,23.0\nVietnam,VNM,2013,22.0\nVietnam,VNM,2014,21.0\nVietnam,VNM,2015,18.0\nVietnam,VNM,2016,16.0\nVietnam,VNM,2017,15.0\nVietnam,VNM,2018,13.0\nVietnam,VNM,2019,12.0\nVietnam,VNM,2020,12.0\nVietnam,VNM,2021,12.0\nVietnam,VNM,2022,14.0\nVietnam,VNM,2023,13.0\nVietnam,VNM,2024,12.0\n```\n\nBased on this chart, is estimated mortality from all forms of tuberculosis per 100,000 population in Vietnam rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 47 deaths per 100,000 people to 12 deaths per 100,000 people, a change of -74.47%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nVietnam,VNM,2000,47.0\nVietnam,VNM,2001,44.0\nVietnam,VNM,2002,39.0\nVietnam,VNM,2003,39.0\nVietnam,VNM,2004,35.0\nVietnam,VNM,2005,36.0\nVietnam,VNM,2006,34.0\nVietnam,VNM,2007,30.0\nVietnam,VNM,2008,27.0\nVietnam,VNM,2009,30.0\nVietnam,VNM,2010,28.0\nVietnam,VNM,2011,26.0\nVietnam,VNM,2012,23.0\nVietnam,VNM,2013,22.0\nVietnam,VNM,2014,21.0\nVietnam,VNM,2015,18.0\nVietnam,VNM,2016,16.0\nVietnam,VNM,2017,15.0\nVietnam,VNM,2018,13.0\nVietnam,VNM,2019,12.0\nVietnam,VNM,2020,12.0\nVietnam,VNM,2021,12.0\nVietnam,VNM,2022,14.0\nVietnam,VNM,2023,13.0\nVietnam,VNM,2024,12.0\n```\n\nThis chart makes the change in estimated mortality from all forms of tuberculosis per 100,000 population for Vietnam look dramatic. Is it?","response":"The values change by -74.47%, from 47 deaths per 100,000 people to 12 deaths per 100,000 people. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nVietnam,VNM,2000,47.0\nVietnam,VNM,2001,44.0\nVietnam,VNM,2002,39.0\nVietnam,VNM,2003,39.0\nVietnam,VNM,2004,35.0\nVietnam,VNM,2005,36.0\nVietnam,VNM,2006,34.0\nVietnam,VNM,2007,30.0\nVietnam,VNM,2008,27.0\nVietnam,VNM,2009,30.0\nVietnam,VNM,2010,28.0\nVietnam,VNM,2011,26.0\nVietnam,VNM,2012,23.0\nVietnam,VNM,2013,22.0\nVietnam,VNM,2014,21.0\nVietnam,VNM,2015,18.0\nVietnam,VNM,2016,16.0\nVietnam,VNM,2017,15.0\nVietnam,VNM,2018,13.0\nVietnam,VNM,2019,12.0\nVietnam,VNM,2020,12.0\nVietnam,VNM,2021,12.0\nVietnam,VNM,2022,14.0\nVietnam,VNM,2023,13.0\nVietnam,VNM,2024,12.0\n```\n\nHow does Vietnam compare with Kenya on this measure?","response":"This chart covers Vietnam only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about Vietnam on its own: the series runs from 47 deaths per 100,000 people in 2000 to 12 deaths per 100,000 people in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Vietnam__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nPoland,POL,2000,3.6\nPoland,POL,2001,3.3\nPoland,POL,2002,3.0\nPoland,POL,2003,2.9\nPoland,POL,2004,2.6\nPoland,POL,2005,2.5\nPoland,POL,2006,2.3\nPoland,POL,2007,2.3\nPoland,POL,2008,2.4\nPoland,POL,2009,2.2\nPoland,POL,2010,1.7\nPoland,POL,2011,1.9\nPoland,POL,2012,1.9\nPoland,POL,2013,1.6\nPoland,POL,2014,1.6\nPoland,POL,2015,1.6\nPoland,POL,2016,1.6\nPoland,POL,2017,1.5\nPoland,POL,2018,1.6\nPoland,POL,2019,1.4\nPoland,POL,2020,1.4\nPoland,POL,2021,1.3\nPoland,POL,2022,1.7\nPoland,POL,2023,1.3\nPoland,POL,2024,1.3\n```\n\nAccording to this chart, what was estimated mortality from all forms of tuberculosis per 100,000 population in Poland in 2015?","response":"Reading the plotted point for 2015, estimated mortality from all forms of tuberculosis per 100,000 population in Poland was 1.6 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nPoland,POL,2000,3.6\nPoland,POL,2001,3.3\nPoland,POL,2002,3.0\nPoland,POL,2003,2.9\nPoland,POL,2004,2.6\nPoland,POL,2005,2.5\nPoland,POL,2006,2.3\nPoland,POL,2007,2.3\nPoland,POL,2008,2.4\nPoland,POL,2009,2.2\nPoland,POL,2010,1.7\nPoland,POL,2011,1.9\nPoland,POL,2012,1.9\nPoland,POL,2013,1.6\nPoland,POL,2014,1.6\nPoland,POL,2015,1.6\nPoland,POL,2016,1.6\nPoland,POL,2017,1.5\nPoland,POL,2018,1.6\nPoland,POL,2019,1.4\nPoland,POL,2020,1.4\nPoland,POL,2021,1.3\nPoland,POL,2022,1.7\nPoland,POL,2023,1.3\nPoland,POL,2024,1.3\n```\n\nIn which year shown does estimated mortality from all forms of tuberculosis per 100,000 population reach its highest value for Poland?","response":"The series peaks in 2000, at 3.6 deaths per 100,000 people. The lowest point shown is 2021, at 1.3 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nPoland,POL,2000,3.6\nPoland,POL,2001,3.3\nPoland,POL,2002,3.0\nPoland,POL,2003,2.9\nPoland,POL,2004,2.6\nPoland,POL,2005,2.5\nPoland,POL,2006,2.3\nPoland,POL,2007,2.3\nPoland,POL,2008,2.4\nPoland,POL,2009,2.2\nPoland,POL,2010,1.7\nPoland,POL,2011,1.9\nPoland,POL,2012,1.9\nPoland,POL,2013,1.6\nPoland,POL,2014,1.6\nPoland,POL,2015,1.6\nPoland,POL,2016,1.6\nPoland,POL,2017,1.5\nPoland,POL,2018,1.6\nPoland,POL,2019,1.4\nPoland,POL,2020,1.4\nPoland,POL,2021,1.3\nPoland,POL,2022,1.7\nPoland,POL,2023,1.3\nPoland,POL,2024,1.3\n```\n\nHow much did estimated mortality from all forms of tuberculosis per 100,000 population change for Poland between 2000 and 2024?","response":"It moved from 3.6 deaths per 100,000 people in 2000 to 1.3 deaths per 100,000 people in 2024, a change of -2.3 deaths per 100,000 people (-63.89%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nPoland,POL,2000,3.6\nPoland,POL,2001,3.3\nPoland,POL,2002,3.0\nPoland,POL,2003,2.9\nPoland,POL,2004,2.6\nPoland,POL,2005,2.5\nPoland,POL,2006,2.3\nPoland,POL,2007,2.3\nPoland,POL,2008,2.4\nPoland,POL,2009,2.2\nPoland,POL,2010,1.7\nPoland,POL,2011,1.9\nPoland,POL,2012,1.9\nPoland,POL,2013,1.6\nPoland,POL,2014,1.6\nPoland,POL,2015,1.6\nPoland,POL,2016,1.6\nPoland,POL,2017,1.5\nPoland,POL,2018,1.6\nPoland,POL,2019,1.4\nPoland,POL,2020,1.4\nPoland,POL,2021,1.3\nPoland,POL,2022,1.7\nPoland,POL,2023,1.3\nPoland,POL,2024,1.3\n```\n\nWas estimated mortality from all forms of tuberculosis per 100,000 population in Poland higher in 2010 or 2020?","response":"Higher in 2010. The chart gives 1.7 deaths per 100,000 people for 2010 and 1.4 deaths per 100,000 people for 2020, a difference of 0.3 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nPoland,POL,2000,3.6\nPoland,POL,2001,3.3\nPoland,POL,2002,3.0\nPoland,POL,2003,2.9\nPoland,POL,2004,2.6\nPoland,POL,2005,2.5\nPoland,POL,2006,2.3\nPoland,POL,2007,2.3\nPoland,POL,2008,2.4\nPoland,POL,2009,2.2\nPoland,POL,2010,1.7\nPoland,POL,2011,1.9\nPoland,POL,2012,1.9\nPoland,POL,2013,1.6\nPoland,POL,2014,1.6\nPoland,POL,2015,1.6\nPoland,POL,2016,1.6\nPoland,POL,2017,1.5\nPoland,POL,2018,1.6\nPoland,POL,2019,1.4\nPoland,POL,2020,1.4\nPoland,POL,2021,1.3\nPoland,POL,2022,1.7\nPoland,POL,2023,1.3\nPoland,POL,2024,1.3\n```\n\nAccording to this chart, what was estimated mortality from all forms of tuberculosis per 100,000 population in Poland in 2015?","response":"Reading the plotted point for 2015, estimated mortality from all forms of tuberculosis per 100,000 population in Poland was 1.6 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nPoland,POL,2000,3.6\nPoland,POL,2001,3.3\nPoland,POL,2002,3.0\nPoland,POL,2003,2.9\nPoland,POL,2004,2.6\nPoland,POL,2005,2.5\nPoland,POL,2006,2.3\nPoland,POL,2007,2.3\nPoland,POL,2008,2.4\nPoland,POL,2009,2.2\nPoland,POL,2010,1.7\nPoland,POL,2011,1.9\nPoland,POL,2012,1.9\nPoland,POL,2013,1.6\nPoland,POL,2014,1.6\nPoland,POL,2015,1.6\nPoland,POL,2016,1.6\nPoland,POL,2017,1.5\nPoland,POL,2018,1.6\nPoland,POL,2019,1.4\nPoland,POL,2020,1.4\nPoland,POL,2021,1.3\nPoland,POL,2022,1.7\nPoland,POL,2023,1.3\nPoland,POL,2024,1.3\n```\n\nIn which year shown does estimated mortality from all forms of tuberculosis per 100,000 population reach its highest value for Poland?","response":"The series peaks in 2000, at 3.6 deaths per 100,000 people. The lowest point shown is 2021, at 1.3 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nPoland,POL,2000,3.6\nPoland,POL,2001,3.3\nPoland,POL,2002,3.0\nPoland,POL,2003,2.9\nPoland,POL,2004,2.6\nPoland,POL,2005,2.5\nPoland,POL,2006,2.3\nPoland,POL,2007,2.3\nPoland,POL,2008,2.4\nPoland,POL,2009,2.2\nPoland,POL,2010,1.7\nPoland,POL,2011,1.9\nPoland,POL,2012,1.9\nPoland,POL,2013,1.6\nPoland,POL,2014,1.6\nPoland,POL,2015,1.6\nPoland,POL,2016,1.6\nPoland,POL,2017,1.5\nPoland,POL,2018,1.6\nPoland,POL,2019,1.4\nPoland,POL,2020,1.4\nPoland,POL,2021,1.3\nPoland,POL,2022,1.7\nPoland,POL,2023,1.3\nPoland,POL,2024,1.3\n```\n\nHow much did estimated mortality from all forms of tuberculosis per 100,000 population change for Poland between 2000 and 2024?","response":"It moved from 3.6 deaths per 100,000 people in 2000 to 1.3 deaths per 100,000 people in 2024, a change of -2.3 deaths per 100,000 people (-63.89%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nPoland,POL,2000,3.6\nPoland,POL,2001,3.3\nPoland,POL,2002,3.0\nPoland,POL,2003,2.9\nPoland,POL,2004,2.6\nPoland,POL,2005,2.5\nPoland,POL,2006,2.3\nPoland,POL,2007,2.3\nPoland,POL,2008,2.4\nPoland,POL,2009,2.2\nPoland,POL,2010,1.7\nPoland,POL,2011,1.9\nPoland,POL,2012,1.9\nPoland,POL,2013,1.6\nPoland,POL,2014,1.6\nPoland,POL,2015,1.6\nPoland,POL,2016,1.6\nPoland,POL,2017,1.5\nPoland,POL,2018,1.6\nPoland,POL,2019,1.4\nPoland,POL,2020,1.4\nPoland,POL,2021,1.3\nPoland,POL,2022,1.7\nPoland,POL,2023,1.3\nPoland,POL,2024,1.3\n```\n\nWas estimated mortality from all forms of tuberculosis per 100,000 population in Poland higher in 2010 or 2020?","response":"Higher in 2010. The chart gives 1.7 deaths per 100,000 people for 2010 and 1.4 deaths per 100,000 people for 2020, a difference of 0.3 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nPoland,POL,2000,3.6\nPoland,POL,2001,3.3\nPoland,POL,2002,3.0\nPoland,POL,2003,2.9\nPoland,POL,2004,2.6\nPoland,POL,2005,2.5\nPoland,POL,2006,2.3\nPoland,POL,2007,2.3\nPoland,POL,2008,2.4\nPoland,POL,2009,2.2\nPoland,POL,2010,1.7\nPoland,POL,2011,1.9\nPoland,POL,2012,1.9\nPoland,POL,2013,1.6\nPoland,POL,2014,1.6\nPoland,POL,2015,1.6\nPoland,POL,2016,1.6\nPoland,POL,2017,1.5\nPoland,POL,2018,1.6\nPoland,POL,2019,1.4\nPoland,POL,2020,1.4\nPoland,POL,2021,1.3\nPoland,POL,2022,1.7\nPoland,POL,2023,1.3\nPoland,POL,2024,1.3\n```\n\nBased on this chart, is estimated mortality from all forms of tuberculosis per 100,000 population in Poland rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 3.6 deaths per 100,000 people to 1.3 deaths per 100,000 people, a change of -63.89%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nPoland,POL,2000,3.6\nPoland,POL,2001,3.3\nPoland,POL,2002,3.0\nPoland,POL,2003,2.9\nPoland,POL,2004,2.6\nPoland,POL,2005,2.5\nPoland,POL,2006,2.3\nPoland,POL,2007,2.3\nPoland,POL,2008,2.4\nPoland,POL,2009,2.2\nPoland,POL,2010,1.7\nPoland,POL,2011,1.9\nPoland,POL,2012,1.9\nPoland,POL,2013,1.6\nPoland,POL,2014,1.6\nPoland,POL,2015,1.6\nPoland,POL,2016,1.6\nPoland,POL,2017,1.5\nPoland,POL,2018,1.6\nPoland,POL,2019,1.4\nPoland,POL,2020,1.4\nPoland,POL,2021,1.3\nPoland,POL,2022,1.7\nPoland,POL,2023,1.3\nPoland,POL,2024,1.3\n```\n\nWhat was estimated mortality from all forms of tuberculosis per 100,000 population for Poland in 1985?","response":"That year is outside this chart. The series runs 2000 to 2024, and 1985 falls before it begins, so there is no value to read. The earliest point available is 2000, at 3.6 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Poland__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nChile,CHL,2000,5.2\nChile,CHL,2001,5.5\nChile,CHL,2002,4.9\nChile,CHL,2003,4.7\nChile,CHL,2004,4.9\nChile,CHL,2005,4.4\nChile,CHL,2006,4.2\nChile,CHL,2007,3.7\nChile,CHL,2008,3.0\nChile,CHL,2009,3.2\nChile,CHL,2010,3.5\nChile,CHL,2011,3.0\nChile,CHL,2012,3.1\nChile,CHL,2013,3.0\nChile,CHL,2014,2.4\nChile,CHL,2015,3.1\nChile,CHL,2016,2.8\nChile,CHL,2017,2.6\nChile,CHL,2018,2.3\nChile,CHL,2019,2.0\nChile,CHL,2020,1.8\nChile,CHL,2021,2.0\nChile,CHL,2022,2.2\nChile,CHL,2023,1.9\nChile,CHL,2024,2.5\n```\n\nAccording to this chart, what was estimated mortality from all forms of tuberculosis per 100,000 population in Chile in 2008?","response":"Reading the plotted point for 2008, estimated mortality from all forms of tuberculosis per 100,000 population in Chile was 3 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nChile,CHL,2000,5.2\nChile,CHL,2001,5.5\nChile,CHL,2002,4.9\nChile,CHL,2003,4.7\nChile,CHL,2004,4.9\nChile,CHL,2005,4.4\nChile,CHL,2006,4.2\nChile,CHL,2007,3.7\nChile,CHL,2008,3.0\nChile,CHL,2009,3.2\nChile,CHL,2010,3.5\nChile,CHL,2011,3.0\nChile,CHL,2012,3.1\nChile,CHL,2013,3.0\nChile,CHL,2014,2.4\nChile,CHL,2015,3.1\nChile,CHL,2016,2.8\nChile,CHL,2017,2.6\nChile,CHL,2018,2.3\nChile,CHL,2019,2.0\nChile,CHL,2020,1.8\nChile,CHL,2021,2.0\nChile,CHL,2022,2.2\nChile,CHL,2023,1.9\nChile,CHL,2024,2.5\n```\n\nIn which year shown does estimated mortality from all forms of tuberculosis per 100,000 population reach its highest value for Chile?","response":"The series peaks in 2001, at 5.5 deaths per 100,000 people. The lowest point shown is 2020, at 1.8 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nChile,CHL,2000,5.2\nChile,CHL,2001,5.5\nChile,CHL,2002,4.9\nChile,CHL,2003,4.7\nChile,CHL,2004,4.9\nChile,CHL,2005,4.4\nChile,CHL,2006,4.2\nChile,CHL,2007,3.7\nChile,CHL,2008,3.0\nChile,CHL,2009,3.2\nChile,CHL,2010,3.5\nChile,CHL,2011,3.0\nChile,CHL,2012,3.1\nChile,CHL,2013,3.0\nChile,CHL,2014,2.4\nChile,CHL,2015,3.1\nChile,CHL,2016,2.8\nChile,CHL,2017,2.6\nChile,CHL,2018,2.3\nChile,CHL,2019,2.0\nChile,CHL,2020,1.8\nChile,CHL,2021,2.0\nChile,CHL,2022,2.2\nChile,CHL,2023,1.9\nChile,CHL,2024,2.5\n```\n\nHow much did estimated mortality from all forms of tuberculosis per 100,000 population change for Chile between 2000 and 2024?","response":"It moved from 5.2 deaths per 100,000 people in 2000 to 2.5 deaths per 100,000 people in 2024, a change of -2.7 deaths per 100,000 people (-51.92%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nChile,CHL,2000,5.2\nChile,CHL,2001,5.5\nChile,CHL,2002,4.9\nChile,CHL,2003,4.7\nChile,CHL,2004,4.9\nChile,CHL,2005,4.4\nChile,CHL,2006,4.2\nChile,CHL,2007,3.7\nChile,CHL,2008,3.0\nChile,CHL,2009,3.2\nChile,CHL,2010,3.5\nChile,CHL,2011,3.0\nChile,CHL,2012,3.1\nChile,CHL,2013,3.0\nChile,CHL,2014,2.4\nChile,CHL,2015,3.1\nChile,CHL,2016,2.8\nChile,CHL,2017,2.6\nChile,CHL,2018,2.3\nChile,CHL,2019,2.0\nChile,CHL,2020,1.8\nChile,CHL,2021,2.0\nChile,CHL,2022,2.2\nChile,CHL,2023,1.9\nChile,CHL,2024,2.5\n```\n\nWas estimated mortality from all forms of tuberculosis per 100,000 population in Chile higher in 2003 or 2024?","response":"Higher in 2003. The chart gives 4.7 deaths per 100,000 people for 2003 and 2.5 deaths per 100,000 people for 2024, a difference of 2.2 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nChile,CHL,2000,5.2\nChile,CHL,2001,5.5\nChile,CHL,2002,4.9\nChile,CHL,2003,4.7\nChile,CHL,2004,4.9\nChile,CHL,2005,4.4\nChile,CHL,2006,4.2\nChile,CHL,2007,3.7\nChile,CHL,2008,3.0\nChile,CHL,2009,3.2\nChile,CHL,2010,3.5\nChile,CHL,2011,3.0\nChile,CHL,2012,3.1\nChile,CHL,2013,3.0\nChile,CHL,2014,2.4\nChile,CHL,2015,3.1\nChile,CHL,2016,2.8\nChile,CHL,2017,2.6\nChile,CHL,2018,2.3\nChile,CHL,2019,2.0\nChile,CHL,2020,1.8\nChile,CHL,2021,2.0\nChile,CHL,2022,2.2\nChile,CHL,2023,1.9\nChile,CHL,2024,2.5\n```\n\nAccording to this chart, what was estimated mortality from all forms of tuberculosis per 100,000 population in Chile in 2008?","response":"Reading the plotted point for 2008, estimated mortality from all forms of tuberculosis per 100,000 population in Chile was 3 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nChile,CHL,2000,5.2\nChile,CHL,2001,5.5\nChile,CHL,2002,4.9\nChile,CHL,2003,4.7\nChile,CHL,2004,4.9\nChile,CHL,2005,4.4\nChile,CHL,2006,4.2\nChile,CHL,2007,3.7\nChile,CHL,2008,3.0\nChile,CHL,2009,3.2\nChile,CHL,2010,3.5\nChile,CHL,2011,3.0\nChile,CHL,2012,3.1\nChile,CHL,2013,3.0\nChile,CHL,2014,2.4\nChile,CHL,2015,3.1\nChile,CHL,2016,2.8\nChile,CHL,2017,2.6\nChile,CHL,2018,2.3\nChile,CHL,2019,2.0\nChile,CHL,2020,1.8\nChile,CHL,2021,2.0\nChile,CHL,2022,2.2\nChile,CHL,2023,1.9\nChile,CHL,2024,2.5\n```\n\nIn which year shown does estimated mortality from all forms of tuberculosis per 100,000 population reach its highest value for Chile?","response":"The series peaks in 2001, at 5.5 deaths per 100,000 people. The lowest point shown is 2020, at 1.8 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nChile,CHL,2000,5.2\nChile,CHL,2001,5.5\nChile,CHL,2002,4.9\nChile,CHL,2003,4.7\nChile,CHL,2004,4.9\nChile,CHL,2005,4.4\nChile,CHL,2006,4.2\nChile,CHL,2007,3.7\nChile,CHL,2008,3.0\nChile,CHL,2009,3.2\nChile,CHL,2010,3.5\nChile,CHL,2011,3.0\nChile,CHL,2012,3.1\nChile,CHL,2013,3.0\nChile,CHL,2014,2.4\nChile,CHL,2015,3.1\nChile,CHL,2016,2.8\nChile,CHL,2017,2.6\nChile,CHL,2018,2.3\nChile,CHL,2019,2.0\nChile,CHL,2020,1.8\nChile,CHL,2021,2.0\nChile,CHL,2022,2.2\nChile,CHL,2023,1.9\nChile,CHL,2024,2.5\n```\n\nHow much did estimated mortality from all forms of tuberculosis per 100,000 population change for Chile between 2000 and 2024?","response":"It moved from 5.2 deaths per 100,000 people in 2000 to 2.5 deaths per 100,000 people in 2024, a change of -2.7 deaths per 100,000 people (-51.92%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nChile,CHL,2000,5.2\nChile,CHL,2001,5.5\nChile,CHL,2002,4.9\nChile,CHL,2003,4.7\nChile,CHL,2004,4.9\nChile,CHL,2005,4.4\nChile,CHL,2006,4.2\nChile,CHL,2007,3.7\nChile,CHL,2008,3.0\nChile,CHL,2009,3.2\nChile,CHL,2010,3.5\nChile,CHL,2011,3.0\nChile,CHL,2012,3.1\nChile,CHL,2013,3.0\nChile,CHL,2014,2.4\nChile,CHL,2015,3.1\nChile,CHL,2016,2.8\nChile,CHL,2017,2.6\nChile,CHL,2018,2.3\nChile,CHL,2019,2.0\nChile,CHL,2020,1.8\nChile,CHL,2021,2.0\nChile,CHL,2022,2.2\nChile,CHL,2023,1.9\nChile,CHL,2024,2.5\n```\n\nWas estimated mortality from all forms of tuberculosis per 100,000 population in Chile higher in 2003 or 2024?","response":"Higher in 2003. The chart gives 4.7 deaths per 100,000 people for 2003 and 2.5 deaths per 100,000 people for 2024, a difference of 2.2 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nChile,CHL,2000,5.2\nChile,CHL,2001,5.5\nChile,CHL,2002,4.9\nChile,CHL,2003,4.7\nChile,CHL,2004,4.9\nChile,CHL,2005,4.4\nChile,CHL,2006,4.2\nChile,CHL,2007,3.7\nChile,CHL,2008,3.0\nChile,CHL,2009,3.2\nChile,CHL,2010,3.5\nChile,CHL,2011,3.0\nChile,CHL,2012,3.1\nChile,CHL,2013,3.0\nChile,CHL,2014,2.4\nChile,CHL,2015,3.1\nChile,CHL,2016,2.8\nChile,CHL,2017,2.6\nChile,CHL,2018,2.3\nChile,CHL,2019,2.0\nChile,CHL,2020,1.8\nChile,CHL,2021,2.0\nChile,CHL,2022,2.2\nChile,CHL,2023,1.9\nChile,CHL,2024,2.5\n```\n\nThis chart makes the change in estimated mortality from all forms of tuberculosis per 100,000 population for Chile look dramatic. Is it?","response":"The values change by -51.92%, from 5.2 deaths per 100,000 people to 2.5 deaths per 100,000 people. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nChile,CHL,2000,5.2\nChile,CHL,2001,5.5\nChile,CHL,2002,4.9\nChile,CHL,2003,4.7\nChile,CHL,2004,4.9\nChile,CHL,2005,4.4\nChile,CHL,2006,4.2\nChile,CHL,2007,3.7\nChile,CHL,2008,3.0\nChile,CHL,2009,3.2\nChile,CHL,2010,3.5\nChile,CHL,2011,3.0\nChile,CHL,2012,3.1\nChile,CHL,2013,3.0\nChile,CHL,2014,2.4\nChile,CHL,2015,3.1\nChile,CHL,2016,2.8\nChile,CHL,2017,2.6\nChile,CHL,2018,2.3\nChile,CHL,2019,2.0\nChile,CHL,2020,1.8\nChile,CHL,2021,2.0\nChile,CHL,2022,2.2\nChile,CHL,2023,1.9\nChile,CHL,2024,2.5\n```\n\nWhat was estimated mortality from all forms of tuberculosis per 100,000 population for Chile in 1985?","response":"That year is outside this chart. The series runs 2000 to 2024, and 1985 falls before it begins, so there is no value to read. The earliest point available is 2000, at 5.2 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Chile__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEgypt,EGY,2000,1.5\nEgypt,EGY,2001,1.5\nEgypt,EGY,2002,1.4\nEgypt,EGY,2003,1.5\nEgypt,EGY,2004,1.2\nEgypt,EGY,2005,1.2\nEgypt,EGY,2006,1.1\nEgypt,EGY,2007,1.1\nEgypt,EGY,2008,1.1\nEgypt,EGY,2009,0.89\nEgypt,EGY,2010,0.74\nEgypt,EGY,2011,0.88\nEgypt,EGY,2012,0.7\nEgypt,EGY,2013,0.36\nEgypt,EGY,2014,0.34\nEgypt,EGY,2015,0.46\nEgypt,EGY,2016,0.46\nEgypt,EGY,2017,0.46\nEgypt,EGY,2018,0.46\nEgypt,EGY,2019,0.46\nEgypt,EGY,2020,0.47\nEgypt,EGY,2021,0.47\nEgypt,EGY,2022,0.46\nEgypt,EGY,2023,0.46\nEgypt,EGY,2024,0.46\n```\n\nAccording to this chart, what was estimated mortality from all forms of tuberculosis per 100,000 population in Egypt in 2020?","response":"Reading the plotted point for 2020, estimated mortality from all forms of tuberculosis per 100,000 population in Egypt was 0.47 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEgypt,EGY,2000,1.5\nEgypt,EGY,2001,1.5\nEgypt,EGY,2002,1.4\nEgypt,EGY,2003,1.5\nEgypt,EGY,2004,1.2\nEgypt,EGY,2005,1.2\nEgypt,EGY,2006,1.1\nEgypt,EGY,2007,1.1\nEgypt,EGY,2008,1.1\nEgypt,EGY,2009,0.89\nEgypt,EGY,2010,0.74\nEgypt,EGY,2011,0.88\nEgypt,EGY,2012,0.7\nEgypt,EGY,2013,0.36\nEgypt,EGY,2014,0.34\nEgypt,EGY,2015,0.46\nEgypt,EGY,2016,0.46\nEgypt,EGY,2017,0.46\nEgypt,EGY,2018,0.46\nEgypt,EGY,2019,0.46\nEgypt,EGY,2020,0.47\nEgypt,EGY,2021,0.47\nEgypt,EGY,2022,0.46\nEgypt,EGY,2023,0.46\nEgypt,EGY,2024,0.46\n```\n\nIn which year shown does estimated mortality from all forms of tuberculosis per 100,000 population reach its highest value for Egypt?","response":"The series peaks in 2000, at 1.5 deaths per 100,000 people. The lowest point shown is 2014, at 0.34 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEgypt,EGY,2000,1.5\nEgypt,EGY,2001,1.5\nEgypt,EGY,2002,1.4\nEgypt,EGY,2003,1.5\nEgypt,EGY,2004,1.2\nEgypt,EGY,2005,1.2\nEgypt,EGY,2006,1.1\nEgypt,EGY,2007,1.1\nEgypt,EGY,2008,1.1\nEgypt,EGY,2009,0.89\nEgypt,EGY,2010,0.74\nEgypt,EGY,2011,0.88\nEgypt,EGY,2012,0.7\nEgypt,EGY,2013,0.36\nEgypt,EGY,2014,0.34\nEgypt,EGY,2015,0.46\nEgypt,EGY,2016,0.46\nEgypt,EGY,2017,0.46\nEgypt,EGY,2018,0.46\nEgypt,EGY,2019,0.46\nEgypt,EGY,2020,0.47\nEgypt,EGY,2021,0.47\nEgypt,EGY,2022,0.46\nEgypt,EGY,2023,0.46\nEgypt,EGY,2024,0.46\n```\n\nHow much did estimated mortality from all forms of tuberculosis per 100,000 population change for Egypt between 2000 and 2024?","response":"It moved from 1.5 deaths per 100,000 people in 2000 to 0.46 deaths per 100,000 people in 2024, a change of -1.04 deaths per 100,000 people (-69.33%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEgypt,EGY,2000,1.5\nEgypt,EGY,2001,1.5\nEgypt,EGY,2002,1.4\nEgypt,EGY,2003,1.5\nEgypt,EGY,2004,1.2\nEgypt,EGY,2005,1.2\nEgypt,EGY,2006,1.1\nEgypt,EGY,2007,1.1\nEgypt,EGY,2008,1.1\nEgypt,EGY,2009,0.89\nEgypt,EGY,2010,0.74\nEgypt,EGY,2011,0.88\nEgypt,EGY,2012,0.7\nEgypt,EGY,2013,0.36\nEgypt,EGY,2014,0.34\nEgypt,EGY,2015,0.46\nEgypt,EGY,2016,0.46\nEgypt,EGY,2017,0.46\nEgypt,EGY,2018,0.46\nEgypt,EGY,2019,0.46\nEgypt,EGY,2020,0.47\nEgypt,EGY,2021,0.47\nEgypt,EGY,2022,0.46\nEgypt,EGY,2023,0.46\nEgypt,EGY,2024,0.46\n```\n\nWas estimated mortality from all forms of tuberculosis per 100,000 population in Egypt higher in 2009 or 2014?","response":"Higher in 2009. The chart gives 0.89 deaths per 100,000 people for 2009 and 0.34 deaths per 100,000 people for 2014, a difference of 0.55 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEgypt,EGY,2000,1.5\nEgypt,EGY,2001,1.5\nEgypt,EGY,2002,1.4\nEgypt,EGY,2003,1.5\nEgypt,EGY,2004,1.2\nEgypt,EGY,2005,1.2\nEgypt,EGY,2006,1.1\nEgypt,EGY,2007,1.1\nEgypt,EGY,2008,1.1\nEgypt,EGY,2009,0.89\nEgypt,EGY,2010,0.74\nEgypt,EGY,2011,0.88\nEgypt,EGY,2012,0.7\nEgypt,EGY,2013,0.36\nEgypt,EGY,2014,0.34\nEgypt,EGY,2015,0.46\nEgypt,EGY,2016,0.46\nEgypt,EGY,2017,0.46\nEgypt,EGY,2018,0.46\nEgypt,EGY,2019,0.46\nEgypt,EGY,2020,0.47\nEgypt,EGY,2021,0.47\nEgypt,EGY,2022,0.46\nEgypt,EGY,2023,0.46\nEgypt,EGY,2024,0.46\n```\n\nAccording to this chart, what was estimated mortality from all forms of tuberculosis per 100,000 population in Egypt in 2020?","response":"Reading the plotted point for 2020, estimated mortality from all forms of tuberculosis per 100,000 population in Egypt was 0.47 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEgypt,EGY,2000,1.5\nEgypt,EGY,2001,1.5\nEgypt,EGY,2002,1.4\nEgypt,EGY,2003,1.5\nEgypt,EGY,2004,1.2\nEgypt,EGY,2005,1.2\nEgypt,EGY,2006,1.1\nEgypt,EGY,2007,1.1\nEgypt,EGY,2008,1.1\nEgypt,EGY,2009,0.89\nEgypt,EGY,2010,0.74\nEgypt,EGY,2011,0.88\nEgypt,EGY,2012,0.7\nEgypt,EGY,2013,0.36\nEgypt,EGY,2014,0.34\nEgypt,EGY,2015,0.46\nEgypt,EGY,2016,0.46\nEgypt,EGY,2017,0.46\nEgypt,EGY,2018,0.46\nEgypt,EGY,2019,0.46\nEgypt,EGY,2020,0.47\nEgypt,EGY,2021,0.47\nEgypt,EGY,2022,0.46\nEgypt,EGY,2023,0.46\nEgypt,EGY,2024,0.46\n```\n\nIn which year shown does estimated mortality from all forms of tuberculosis per 100,000 population reach its highest value for Egypt?","response":"The series peaks in 2000, at 1.5 deaths per 100,000 people. The lowest point shown is 2014, at 0.34 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEgypt,EGY,2000,1.5\nEgypt,EGY,2001,1.5\nEgypt,EGY,2002,1.4\nEgypt,EGY,2003,1.5\nEgypt,EGY,2004,1.2\nEgypt,EGY,2005,1.2\nEgypt,EGY,2006,1.1\nEgypt,EGY,2007,1.1\nEgypt,EGY,2008,1.1\nEgypt,EGY,2009,0.89\nEgypt,EGY,2010,0.74\nEgypt,EGY,2011,0.88\nEgypt,EGY,2012,0.7\nEgypt,EGY,2013,0.36\nEgypt,EGY,2014,0.34\nEgypt,EGY,2015,0.46\nEgypt,EGY,2016,0.46\nEgypt,EGY,2017,0.46\nEgypt,EGY,2018,0.46\nEgypt,EGY,2019,0.46\nEgypt,EGY,2020,0.47\nEgypt,EGY,2021,0.47\nEgypt,EGY,2022,0.46\nEgypt,EGY,2023,0.46\nEgypt,EGY,2024,0.46\n```\n\nHow much did estimated mortality from all forms of tuberculosis per 100,000 population change for Egypt between 2000 and 2024?","response":"It moved from 1.5 deaths per 100,000 people in 2000 to 0.46 deaths per 100,000 people in 2024, a change of -1.04 deaths per 100,000 people (-69.33%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEgypt,EGY,2000,1.5\nEgypt,EGY,2001,1.5\nEgypt,EGY,2002,1.4\nEgypt,EGY,2003,1.5\nEgypt,EGY,2004,1.2\nEgypt,EGY,2005,1.2\nEgypt,EGY,2006,1.1\nEgypt,EGY,2007,1.1\nEgypt,EGY,2008,1.1\nEgypt,EGY,2009,0.89\nEgypt,EGY,2010,0.74\nEgypt,EGY,2011,0.88\nEgypt,EGY,2012,0.7\nEgypt,EGY,2013,0.36\nEgypt,EGY,2014,0.34\nEgypt,EGY,2015,0.46\nEgypt,EGY,2016,0.46\nEgypt,EGY,2017,0.46\nEgypt,EGY,2018,0.46\nEgypt,EGY,2019,0.46\nEgypt,EGY,2020,0.47\nEgypt,EGY,2021,0.47\nEgypt,EGY,2022,0.46\nEgypt,EGY,2023,0.46\nEgypt,EGY,2024,0.46\n```\n\nWas estimated mortality from all forms of tuberculosis per 100,000 population in Egypt higher in 2009 or 2014?","response":"Higher in 2009. The chart gives 0.89 deaths per 100,000 people for 2009 and 0.34 deaths per 100,000 people for 2014, a difference of 0.55 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEgypt,EGY,2000,1.5\nEgypt,EGY,2001,1.5\nEgypt,EGY,2002,1.4\nEgypt,EGY,2003,1.5\nEgypt,EGY,2004,1.2\nEgypt,EGY,2005,1.2\nEgypt,EGY,2006,1.1\nEgypt,EGY,2007,1.1\nEgypt,EGY,2008,1.1\nEgypt,EGY,2009,0.89\nEgypt,EGY,2010,0.74\nEgypt,EGY,2011,0.88\nEgypt,EGY,2012,0.7\nEgypt,EGY,2013,0.36\nEgypt,EGY,2014,0.34\nEgypt,EGY,2015,0.46\nEgypt,EGY,2016,0.46\nEgypt,EGY,2017,0.46\nEgypt,EGY,2018,0.46\nEgypt,EGY,2019,0.46\nEgypt,EGY,2020,0.47\nEgypt,EGY,2021,0.47\nEgypt,EGY,2022,0.46\nEgypt,EGY,2023,0.46\nEgypt,EGY,2024,0.46\n```\n\nBased on this chart, is estimated mortality from all forms of tuberculosis per 100,000 population in Egypt rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 1.5 deaths per 100,000 people to 0.46 deaths per 100,000 people, a change of -69.33%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEgypt,EGY,2013,0.36\nEgypt,EGY,2014,0.34\nEgypt,EGY,2015,0.46\nEgypt,EGY,2016,0.46\nEgypt,EGY,2017,0.46\nEgypt,EGY,2018,0.46\nEgypt,EGY,2019,0.46\nEgypt,EGY,2020,0.47\nEgypt,EGY,2021,0.47\n```\n\nWhat does this chart suggest about the long-run direction of estimated mortality from all forms of tuberculosis per 100,000 population in Egypt?","response":"Within the window shown (2013-2021) the series moves +30.56%, but that window runs against the longer record. Across the full series (2000-2024) the change is -69.33%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEgypt,EGY,2000,1.5\nEgypt,EGY,2001,1.5\nEgypt,EGY,2002,1.4\nEgypt,EGY,2003,1.5\nEgypt,EGY,2004,1.2\nEgypt,EGY,2005,1.2\nEgypt,EGY,2006,1.1\nEgypt,EGY,2007,1.1\nEgypt,EGY,2008,1.1\nEgypt,EGY,2009,0.89\nEgypt,EGY,2010,0.74\nEgypt,EGY,2011,0.88\nEgypt,EGY,2012,0.7\nEgypt,EGY,2013,0.36\nEgypt,EGY,2014,0.34\nEgypt,EGY,2015,0.46\nEgypt,EGY,2016,0.46\nEgypt,EGY,2017,0.46\nEgypt,EGY,2018,0.46\nEgypt,EGY,2019,0.46\nEgypt,EGY,2020,0.47\nEgypt,EGY,2021,0.47\nEgypt,EGY,2022,0.46\nEgypt,EGY,2023,0.46\nEgypt,EGY,2024,0.46\n```\n\nHow does Egypt compare with Nigeria on this measure?","response":"This chart covers Egypt only, so Nigeria is not plotted and I cannot compare them from it. The chart does support statements about Egypt on its own: the series runs from 1.5 deaths per 100,000 people in 2000 to 0.46 deaths per 100,000 people in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Egypt__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nBangladesh,BGD,2000,71.0\nBangladesh,BGD,2001,72.0\nBangladesh,BGD,2002,70.0\nBangladesh,BGD,2003,69.0\nBangladesh,BGD,2004,66.0\nBangladesh,BGD,2005,60.0\nBangladesh,BGD,2006,54.0\nBangladesh,BGD,2007,54.0\nBangladesh,BGD,2008,53.0\nBangladesh,BGD,2009,51.0\nBangladesh,BGD,2010,53.0\nBangladesh,BGD,2011,54.0\nBangladesh,BGD,2012,51.0\nBangladesh,BGD,2013,47.0\nBangladesh,BGD,2014,46.0\nBangladesh,BGD,2015,42.0\nBangladesh,BGD,2016,39.0\nBangladesh,BGD,2017,34.0\nBangladesh,BGD,2018,29.0\nBangladesh,BGD,2019,24.0\nBangladesh,BGD,2020,26.0\nBangladesh,BGD,2021,27.0\nBangladesh,BGD,2022,26.0\nBangladesh,BGD,2023,26.0\nBangladesh,BGD,2024,25.0\n```\n\nAccording to this chart, what was estimated mortality from all forms of tuberculosis per 100,000 population in Bangladesh in 2024?","response":"Reading the plotted point for 2024, estimated mortality from all forms of tuberculosis per 100,000 population in Bangladesh was 25 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nBangladesh,BGD,2000,71.0\nBangladesh,BGD,2001,72.0\nBangladesh,BGD,2002,70.0\nBangladesh,BGD,2003,69.0\nBangladesh,BGD,2004,66.0\nBangladesh,BGD,2005,60.0\nBangladesh,BGD,2006,54.0\nBangladesh,BGD,2007,54.0\nBangladesh,BGD,2008,53.0\nBangladesh,BGD,2009,51.0\nBangladesh,BGD,2010,53.0\nBangladesh,BGD,2011,54.0\nBangladesh,BGD,2012,51.0\nBangladesh,BGD,2013,47.0\nBangladesh,BGD,2014,46.0\nBangladesh,BGD,2015,42.0\nBangladesh,BGD,2016,39.0\nBangladesh,BGD,2017,34.0\nBangladesh,BGD,2018,29.0\nBangladesh,BGD,2019,24.0\nBangladesh,BGD,2020,26.0\nBangladesh,BGD,2021,27.0\nBangladesh,BGD,2022,26.0\nBangladesh,BGD,2023,26.0\nBangladesh,BGD,2024,25.0\n```\n\nIn which year shown does estimated mortality from all forms of tuberculosis per 100,000 population reach its highest value for Bangladesh?","response":"The series peaks in 2001, at 72 deaths per 100,000 people. The lowest point shown is 2019, at 24 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nBangladesh,BGD,2000,71.0\nBangladesh,BGD,2001,72.0\nBangladesh,BGD,2002,70.0\nBangladesh,BGD,2003,69.0\nBangladesh,BGD,2004,66.0\nBangladesh,BGD,2005,60.0\nBangladesh,BGD,2006,54.0\nBangladesh,BGD,2007,54.0\nBangladesh,BGD,2008,53.0\nBangladesh,BGD,2009,51.0\nBangladesh,BGD,2010,53.0\nBangladesh,BGD,2011,54.0\nBangladesh,BGD,2012,51.0\nBangladesh,BGD,2013,47.0\nBangladesh,BGD,2014,46.0\nBangladesh,BGD,2015,42.0\nBangladesh,BGD,2016,39.0\nBangladesh,BGD,2017,34.0\nBangladesh,BGD,2018,29.0\nBangladesh,BGD,2019,24.0\nBangladesh,BGD,2020,26.0\nBangladesh,BGD,2021,27.0\nBangladesh,BGD,2022,26.0\nBangladesh,BGD,2023,26.0\nBangladesh,BGD,2024,25.0\n```\n\nHow much did estimated mortality from all forms of tuberculosis per 100,000 population change for Bangladesh between 2000 and 2024?","response":"It moved from 71 deaths per 100,000 people in 2000 to 25 deaths per 100,000 people in 2024, a change of -46 deaths per 100,000 people (-64.79%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nBangladesh,BGD,2000,71.0\nBangladesh,BGD,2001,72.0\nBangladesh,BGD,2002,70.0\nBangladesh,BGD,2003,69.0\nBangladesh,BGD,2004,66.0\nBangladesh,BGD,2005,60.0\nBangladesh,BGD,2006,54.0\nBangladesh,BGD,2007,54.0\nBangladesh,BGD,2008,53.0\nBangladesh,BGD,2009,51.0\nBangladesh,BGD,2010,53.0\nBangladesh,BGD,2011,54.0\nBangladesh,BGD,2012,51.0\nBangladesh,BGD,2013,47.0\nBangladesh,BGD,2014,46.0\nBangladesh,BGD,2015,42.0\nBangladesh,BGD,2016,39.0\nBangladesh,BGD,2017,34.0\nBangladesh,BGD,2018,29.0\nBangladesh,BGD,2019,24.0\nBangladesh,BGD,2020,26.0\nBangladesh,BGD,2021,27.0\nBangladesh,BGD,2022,26.0\nBangladesh,BGD,2023,26.0\nBangladesh,BGD,2024,25.0\n```\n\nWas estimated mortality from all forms of tuberculosis per 100,000 population in Bangladesh higher in 2011 or 2023?","response":"Higher in 2011. The chart gives 54 deaths per 100,000 people for 2011 and 26 deaths per 100,000 people for 2023, a difference of 28 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nBangladesh,BGD,2000,71.0\nBangladesh,BGD,2001,72.0\nBangladesh,BGD,2002,70.0\nBangladesh,BGD,2003,69.0\nBangladesh,BGD,2004,66.0\nBangladesh,BGD,2005,60.0\nBangladesh,BGD,2006,54.0\nBangladesh,BGD,2007,54.0\nBangladesh,BGD,2008,53.0\nBangladesh,BGD,2009,51.0\nBangladesh,BGD,2010,53.0\nBangladesh,BGD,2011,54.0\nBangladesh,BGD,2012,51.0\nBangladesh,BGD,2013,47.0\nBangladesh,BGD,2014,46.0\nBangladesh,BGD,2015,42.0\nBangladesh,BGD,2016,39.0\nBangladesh,BGD,2017,34.0\nBangladesh,BGD,2018,29.0\nBangladesh,BGD,2019,24.0\nBangladesh,BGD,2020,26.0\nBangladesh,BGD,2021,27.0\nBangladesh,BGD,2022,26.0\nBangladesh,BGD,2023,26.0\nBangladesh,BGD,2024,25.0\n```\n\nAccording to this chart, what was estimated mortality from all forms of tuberculosis per 100,000 population in Bangladesh in 2024?","response":"Reading the plotted point for 2024, estimated mortality from all forms of tuberculosis per 100,000 population in Bangladesh was 25 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nBangladesh,BGD,2000,71.0\nBangladesh,BGD,2001,72.0\nBangladesh,BGD,2002,70.0\nBangladesh,BGD,2003,69.0\nBangladesh,BGD,2004,66.0\nBangladesh,BGD,2005,60.0\nBangladesh,BGD,2006,54.0\nBangladesh,BGD,2007,54.0\nBangladesh,BGD,2008,53.0\nBangladesh,BGD,2009,51.0\nBangladesh,BGD,2010,53.0\nBangladesh,BGD,2011,54.0\nBangladesh,BGD,2012,51.0\nBangladesh,BGD,2013,47.0\nBangladesh,BGD,2014,46.0\nBangladesh,BGD,2015,42.0\nBangladesh,BGD,2016,39.0\nBangladesh,BGD,2017,34.0\nBangladesh,BGD,2018,29.0\nBangladesh,BGD,2019,24.0\nBangladesh,BGD,2020,26.0\nBangladesh,BGD,2021,27.0\nBangladesh,BGD,2022,26.0\nBangladesh,BGD,2023,26.0\nBangladesh,BGD,2024,25.0\n```\n\nIn which year shown does estimated mortality from all forms of tuberculosis per 100,000 population reach its highest value for Bangladesh?","response":"The series peaks in 2001, at 72 deaths per 100,000 people. The lowest point shown is 2019, at 24 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nBangladesh,BGD,2000,71.0\nBangladesh,BGD,2001,72.0\nBangladesh,BGD,2002,70.0\nBangladesh,BGD,2003,69.0\nBangladesh,BGD,2004,66.0\nBangladesh,BGD,2005,60.0\nBangladesh,BGD,2006,54.0\nBangladesh,BGD,2007,54.0\nBangladesh,BGD,2008,53.0\nBangladesh,BGD,2009,51.0\nBangladesh,BGD,2010,53.0\nBangladesh,BGD,2011,54.0\nBangladesh,BGD,2012,51.0\nBangladesh,BGD,2013,47.0\nBangladesh,BGD,2014,46.0\nBangladesh,BGD,2015,42.0\nBangladesh,BGD,2016,39.0\nBangladesh,BGD,2017,34.0\nBangladesh,BGD,2018,29.0\nBangladesh,BGD,2019,24.0\nBangladesh,BGD,2020,26.0\nBangladesh,BGD,2021,27.0\nBangladesh,BGD,2022,26.0\nBangladesh,BGD,2023,26.0\nBangladesh,BGD,2024,25.0\n```\n\nHow much did estimated mortality from all forms of tuberculosis per 100,000 population change for Bangladesh between 2000 and 2024?","response":"It moved from 71 deaths per 100,000 people in 2000 to 25 deaths per 100,000 people in 2024, a change of -46 deaths per 100,000 people (-64.79%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nBangladesh,BGD,2000,71.0\nBangladesh,BGD,2001,72.0\nBangladesh,BGD,2002,70.0\nBangladesh,BGD,2003,69.0\nBangladesh,BGD,2004,66.0\nBangladesh,BGD,2005,60.0\nBangladesh,BGD,2006,54.0\nBangladesh,BGD,2007,54.0\nBangladesh,BGD,2008,53.0\nBangladesh,BGD,2009,51.0\nBangladesh,BGD,2010,53.0\nBangladesh,BGD,2011,54.0\nBangladesh,BGD,2012,51.0\nBangladesh,BGD,2013,47.0\nBangladesh,BGD,2014,46.0\nBangladesh,BGD,2015,42.0\nBangladesh,BGD,2016,39.0\nBangladesh,BGD,2017,34.0\nBangladesh,BGD,2018,29.0\nBangladesh,BGD,2019,24.0\nBangladesh,BGD,2020,26.0\nBangladesh,BGD,2021,27.0\nBangladesh,BGD,2022,26.0\nBangladesh,BGD,2023,26.0\nBangladesh,BGD,2024,25.0\n```\n\nWas estimated mortality from all forms of tuberculosis per 100,000 population in Bangladesh higher in 2011 or 2023?","response":"Higher in 2011. The chart gives 54 deaths per 100,000 people for 2011 and 26 deaths per 100,000 people for 2023, a difference of 28 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nBangladesh,BGD,2000,71.0\nBangladesh,BGD,2001,72.0\nBangladesh,BGD,2002,70.0\nBangladesh,BGD,2003,69.0\nBangladesh,BGD,2004,66.0\nBangladesh,BGD,2005,60.0\nBangladesh,BGD,2006,54.0\nBangladesh,BGD,2007,54.0\nBangladesh,BGD,2008,53.0\nBangladesh,BGD,2009,51.0\nBangladesh,BGD,2010,53.0\nBangladesh,BGD,2011,54.0\nBangladesh,BGD,2012,51.0\nBangladesh,BGD,2013,47.0\nBangladesh,BGD,2014,46.0\nBangladesh,BGD,2015,42.0\nBangladesh,BGD,2016,39.0\nBangladesh,BGD,2017,34.0\nBangladesh,BGD,2018,29.0\nBangladesh,BGD,2019,24.0\nBangladesh,BGD,2020,26.0\nBangladesh,BGD,2021,27.0\nBangladesh,BGD,2022,26.0\nBangladesh,BGD,2023,26.0\nBangladesh,BGD,2024,25.0\n```\n\nBased on this chart, is estimated mortality from all forms of tuberculosis per 100,000 population in Bangladesh rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 71 deaths per 100,000 people to 25 deaths per 100,000 people, a change of -64.79%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nBangladesh,BGD,2000,71.0\nBangladesh,BGD,2001,72.0\nBangladesh,BGD,2002,70.0\nBangladesh,BGD,2003,69.0\nBangladesh,BGD,2004,66.0\nBangladesh,BGD,2005,60.0\nBangladesh,BGD,2006,54.0\nBangladesh,BGD,2007,54.0\nBangladesh,BGD,2008,53.0\nBangladesh,BGD,2009,51.0\nBangladesh,BGD,2010,53.0\nBangladesh,BGD,2011,54.0\nBangladesh,BGD,2012,51.0\nBangladesh,BGD,2013,47.0\nBangladesh,BGD,2014,46.0\nBangladesh,BGD,2015,42.0\nBangladesh,BGD,2016,39.0\nBangladesh,BGD,2017,34.0\nBangladesh,BGD,2018,29.0\nBangladesh,BGD,2019,24.0\nBangladesh,BGD,2020,26.0\nBangladesh,BGD,2021,27.0\nBangladesh,BGD,2022,26.0\nBangladesh,BGD,2023,26.0\nBangladesh,BGD,2024,25.0\n```\n\nThis chart makes the change in estimated mortality from all forms of tuberculosis per 100,000 population for Bangladesh look dramatic. Is it?","response":"The values change by -64.79%, from 71 deaths per 100,000 people to 25 deaths per 100,000 people. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nBangladesh,BGD,2000,71.0\nBangladesh,BGD,2001,72.0\nBangladesh,BGD,2002,70.0\nBangladesh,BGD,2003,69.0\nBangladesh,BGD,2004,66.0\nBangladesh,BGD,2005,60.0\nBangladesh,BGD,2006,54.0\nBangladesh,BGD,2007,54.0\nBangladesh,BGD,2008,53.0\nBangladesh,BGD,2009,51.0\nBangladesh,BGD,2010,53.0\nBangladesh,BGD,2011,54.0\nBangladesh,BGD,2012,51.0\nBangladesh,BGD,2013,47.0\nBangladesh,BGD,2014,46.0\nBangladesh,BGD,2015,42.0\nBangladesh,BGD,2016,39.0\nBangladesh,BGD,2017,34.0\nBangladesh,BGD,2018,29.0\nBangladesh,BGD,2019,24.0\nBangladesh,BGD,2020,26.0\nBangladesh,BGD,2021,27.0\nBangladesh,BGD,2022,26.0\nBangladesh,BGD,2023,26.0\nBangladesh,BGD,2024,25.0\n```\n\nWhat caused the change in estimated mortality from all forms of tuberculosis per 100,000 population for Bangladesh around 2005?","response":"The chart shows that the change happened: estimated mortality from all forms of tuberculosis per 100,000 population moves to 60 deaths per 100,000 people in 2005. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Bangladesh__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEthiopia,ETH,2000,189.0\nEthiopia,ETH,2001,168.0\nEthiopia,ETH,2002,141.0\nEthiopia,ETH,2003,124.0\nEthiopia,ETH,2004,109.0\nEthiopia,ETH,2005,100.0\nEthiopia,ETH,2006,94.0\nEthiopia,ETH,2007,84.0\nEthiopia,ETH,2008,71.0\nEthiopia,ETH,2009,61.0\nEthiopia,ETH,2010,53.0\nEthiopia,ETH,2011,47.0\nEthiopia,ETH,2012,44.0\nEthiopia,ETH,2013,46.0\nEthiopia,ETH,2014,44.0\nEthiopia,ETH,2015,32.0\nEthiopia,ETH,2016,31.0\nEthiopia,ETH,2017,29.0\nEthiopia,ETH,2018,25.0\nEthiopia,ETH,2019,23.0\nEthiopia,ETH,2020,22.0\nEthiopia,ETH,2021,19.0\nEthiopia,ETH,2022,19.0\nEthiopia,ETH,2023,22.0\nEthiopia,ETH,2024,16.0\n```\n\nAccording to this chart, what was estimated mortality from all forms of tuberculosis per 100,000 population in Ethiopia in 2007?","response":"Reading the plotted point for 2007, estimated mortality from all forms of tuberculosis per 100,000 population in Ethiopia was 84 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEthiopia,ETH,2000,189.0\nEthiopia,ETH,2001,168.0\nEthiopia,ETH,2002,141.0\nEthiopia,ETH,2003,124.0\nEthiopia,ETH,2004,109.0\nEthiopia,ETH,2005,100.0\nEthiopia,ETH,2006,94.0\nEthiopia,ETH,2007,84.0\nEthiopia,ETH,2008,71.0\nEthiopia,ETH,2009,61.0\nEthiopia,ETH,2010,53.0\nEthiopia,ETH,2011,47.0\nEthiopia,ETH,2012,44.0\nEthiopia,ETH,2013,46.0\nEthiopia,ETH,2014,44.0\nEthiopia,ETH,2015,32.0\nEthiopia,ETH,2016,31.0\nEthiopia,ETH,2017,29.0\nEthiopia,ETH,2018,25.0\nEthiopia,ETH,2019,23.0\nEthiopia,ETH,2020,22.0\nEthiopia,ETH,2021,19.0\nEthiopia,ETH,2022,19.0\nEthiopia,ETH,2023,22.0\nEthiopia,ETH,2024,16.0\n```\n\nIn which year shown does estimated mortality from all forms of tuberculosis per 100,000 population reach its highest value for Ethiopia?","response":"The series peaks in 2000, at 189 deaths per 100,000 people. The lowest point shown is 2024, at 16 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEthiopia,ETH,2000,189.0\nEthiopia,ETH,2001,168.0\nEthiopia,ETH,2002,141.0\nEthiopia,ETH,2003,124.0\nEthiopia,ETH,2004,109.0\nEthiopia,ETH,2005,100.0\nEthiopia,ETH,2006,94.0\nEthiopia,ETH,2007,84.0\nEthiopia,ETH,2008,71.0\nEthiopia,ETH,2009,61.0\nEthiopia,ETH,2010,53.0\nEthiopia,ETH,2011,47.0\nEthiopia,ETH,2012,44.0\nEthiopia,ETH,2013,46.0\nEthiopia,ETH,2014,44.0\nEthiopia,ETH,2015,32.0\nEthiopia,ETH,2016,31.0\nEthiopia,ETH,2017,29.0\nEthiopia,ETH,2018,25.0\nEthiopia,ETH,2019,23.0\nEthiopia,ETH,2020,22.0\nEthiopia,ETH,2021,19.0\nEthiopia,ETH,2022,19.0\nEthiopia,ETH,2023,22.0\nEthiopia,ETH,2024,16.0\n```\n\nHow much did estimated mortality from all forms of tuberculosis per 100,000 population change for Ethiopia between 2000 and 2024?","response":"It moved from 189 deaths per 100,000 people in 2000 to 16 deaths per 100,000 people in 2024, a change of -173 deaths per 100,000 people (-91.53%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEthiopia,ETH,2000,189.0\nEthiopia,ETH,2001,168.0\nEthiopia,ETH,2002,141.0\nEthiopia,ETH,2003,124.0\nEthiopia,ETH,2004,109.0\nEthiopia,ETH,2005,100.0\nEthiopia,ETH,2006,94.0\nEthiopia,ETH,2007,84.0\nEthiopia,ETH,2008,71.0\nEthiopia,ETH,2009,61.0\nEthiopia,ETH,2010,53.0\nEthiopia,ETH,2011,47.0\nEthiopia,ETH,2012,44.0\nEthiopia,ETH,2013,46.0\nEthiopia,ETH,2014,44.0\nEthiopia,ETH,2015,32.0\nEthiopia,ETH,2016,31.0\nEthiopia,ETH,2017,29.0\nEthiopia,ETH,2018,25.0\nEthiopia,ETH,2019,23.0\nEthiopia,ETH,2020,22.0\nEthiopia,ETH,2021,19.0\nEthiopia,ETH,2022,19.0\nEthiopia,ETH,2023,22.0\nEthiopia,ETH,2024,16.0\n```\n\nWas estimated mortality from all forms of tuberculosis per 100,000 population in Ethiopia higher in 2008 or 2016?","response":"Higher in 2008. The chart gives 71 deaths per 100,000 people for 2008 and 31 deaths per 100,000 people for 2016, a difference of 40 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEthiopia,ETH,2000,189.0\nEthiopia,ETH,2001,168.0\nEthiopia,ETH,2002,141.0\nEthiopia,ETH,2003,124.0\nEthiopia,ETH,2004,109.0\nEthiopia,ETH,2005,100.0\nEthiopia,ETH,2006,94.0\nEthiopia,ETH,2007,84.0\nEthiopia,ETH,2008,71.0\nEthiopia,ETH,2009,61.0\nEthiopia,ETH,2010,53.0\nEthiopia,ETH,2011,47.0\nEthiopia,ETH,2012,44.0\nEthiopia,ETH,2013,46.0\nEthiopia,ETH,2014,44.0\nEthiopia,ETH,2015,32.0\nEthiopia,ETH,2016,31.0\nEthiopia,ETH,2017,29.0\nEthiopia,ETH,2018,25.0\nEthiopia,ETH,2019,23.0\nEthiopia,ETH,2020,22.0\nEthiopia,ETH,2021,19.0\nEthiopia,ETH,2022,19.0\nEthiopia,ETH,2023,22.0\nEthiopia,ETH,2024,16.0\n```\n\nAccording to this chart, what was estimated mortality from all forms of tuberculosis per 100,000 population in Ethiopia in 2007?","response":"Reading the plotted point for 2007, estimated mortality from all forms of tuberculosis per 100,000 population in Ethiopia was 84 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEthiopia,ETH,2000,189.0\nEthiopia,ETH,2001,168.0\nEthiopia,ETH,2002,141.0\nEthiopia,ETH,2003,124.0\nEthiopia,ETH,2004,109.0\nEthiopia,ETH,2005,100.0\nEthiopia,ETH,2006,94.0\nEthiopia,ETH,2007,84.0\nEthiopia,ETH,2008,71.0\nEthiopia,ETH,2009,61.0\nEthiopia,ETH,2010,53.0\nEthiopia,ETH,2011,47.0\nEthiopia,ETH,2012,44.0\nEthiopia,ETH,2013,46.0\nEthiopia,ETH,2014,44.0\nEthiopia,ETH,2015,32.0\nEthiopia,ETH,2016,31.0\nEthiopia,ETH,2017,29.0\nEthiopia,ETH,2018,25.0\nEthiopia,ETH,2019,23.0\nEthiopia,ETH,2020,22.0\nEthiopia,ETH,2021,19.0\nEthiopia,ETH,2022,19.0\nEthiopia,ETH,2023,22.0\nEthiopia,ETH,2024,16.0\n```\n\nIn which year shown does estimated mortality from all forms of tuberculosis per 100,000 population reach its highest value for Ethiopia?","response":"The series peaks in 2000, at 189 deaths per 100,000 people. The lowest point shown is 2024, at 16 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEthiopia,ETH,2000,189.0\nEthiopia,ETH,2001,168.0\nEthiopia,ETH,2002,141.0\nEthiopia,ETH,2003,124.0\nEthiopia,ETH,2004,109.0\nEthiopia,ETH,2005,100.0\nEthiopia,ETH,2006,94.0\nEthiopia,ETH,2007,84.0\nEthiopia,ETH,2008,71.0\nEthiopia,ETH,2009,61.0\nEthiopia,ETH,2010,53.0\nEthiopia,ETH,2011,47.0\nEthiopia,ETH,2012,44.0\nEthiopia,ETH,2013,46.0\nEthiopia,ETH,2014,44.0\nEthiopia,ETH,2015,32.0\nEthiopia,ETH,2016,31.0\nEthiopia,ETH,2017,29.0\nEthiopia,ETH,2018,25.0\nEthiopia,ETH,2019,23.0\nEthiopia,ETH,2020,22.0\nEthiopia,ETH,2021,19.0\nEthiopia,ETH,2022,19.0\nEthiopia,ETH,2023,22.0\nEthiopia,ETH,2024,16.0\n```\n\nHow much did estimated mortality from all forms of tuberculosis per 100,000 population change for Ethiopia between 2000 and 2024?","response":"It moved from 189 deaths per 100,000 people in 2000 to 16 deaths per 100,000 people in 2024, a change of -173 deaths per 100,000 people (-91.53%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEthiopia,ETH,2000,189.0\nEthiopia,ETH,2001,168.0\nEthiopia,ETH,2002,141.0\nEthiopia,ETH,2003,124.0\nEthiopia,ETH,2004,109.0\nEthiopia,ETH,2005,100.0\nEthiopia,ETH,2006,94.0\nEthiopia,ETH,2007,84.0\nEthiopia,ETH,2008,71.0\nEthiopia,ETH,2009,61.0\nEthiopia,ETH,2010,53.0\nEthiopia,ETH,2011,47.0\nEthiopia,ETH,2012,44.0\nEthiopia,ETH,2013,46.0\nEthiopia,ETH,2014,44.0\nEthiopia,ETH,2015,32.0\nEthiopia,ETH,2016,31.0\nEthiopia,ETH,2017,29.0\nEthiopia,ETH,2018,25.0\nEthiopia,ETH,2019,23.0\nEthiopia,ETH,2020,22.0\nEthiopia,ETH,2021,19.0\nEthiopia,ETH,2022,19.0\nEthiopia,ETH,2023,22.0\nEthiopia,ETH,2024,16.0\n```\n\nWas estimated mortality from all forms of tuberculosis per 100,000 population in Ethiopia higher in 2008 or 2016?","response":"Higher in 2008. The chart gives 71 deaths per 100,000 people for 2008 and 31 deaths per 100,000 people for 2016, a difference of 40 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEthiopia,ETH,2000,189.0\nEthiopia,ETH,2001,168.0\nEthiopia,ETH,2002,141.0\nEthiopia,ETH,2003,124.0\nEthiopia,ETH,2004,109.0\nEthiopia,ETH,2005,100.0\nEthiopia,ETH,2006,94.0\nEthiopia,ETH,2007,84.0\nEthiopia,ETH,2008,71.0\nEthiopia,ETH,2009,61.0\nEthiopia,ETH,2010,53.0\nEthiopia,ETH,2011,47.0\nEthiopia,ETH,2012,44.0\nEthiopia,ETH,2013,46.0\nEthiopia,ETH,2014,44.0\nEthiopia,ETH,2015,32.0\nEthiopia,ETH,2016,31.0\nEthiopia,ETH,2017,29.0\nEthiopia,ETH,2018,25.0\nEthiopia,ETH,2019,23.0\nEthiopia,ETH,2020,22.0\nEthiopia,ETH,2021,19.0\nEthiopia,ETH,2022,19.0\nEthiopia,ETH,2023,22.0\nEthiopia,ETH,2024,16.0\n```\n\nBased on this chart, is estimated mortality from all forms of tuberculosis per 100,000 population in Ethiopia rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 189 deaths per 100,000 people to 16 deaths per 100,000 people, a change of -91.53%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,\"Estimated mortality from all forms of tuberculosis per 100,000 population\"\nEthiopia,ETH,2000,189.0\nEthiopia,ETH,2001,168.0\nEthiopia,ETH,2002,141.0\nEthiopia,ETH,2003,124.0\nEthiopia,ETH,2004,109.0\nEthiopia,ETH,2005,100.0\nEthiopia,ETH,2006,94.0\nEthiopia,ETH,2007,84.0\nEthiopia,ETH,2008,71.0\nEthiopia,ETH,2009,61.0\nEthiopia,ETH,2010,53.0\nEthiopia,ETH,2011,47.0\nEthiopia,ETH,2012,44.0\nEthiopia,ETH,2013,46.0\nEthiopia,ETH,2014,44.0\nEthiopia,ETH,2015,32.0\nEthiopia,ETH,2016,31.0\nEthiopia,ETH,2017,29.0\nEthiopia,ETH,2018,25.0\nEthiopia,ETH,2019,23.0\nEthiopia,ETH,2020,22.0\nEthiopia,ETH,2021,19.0\nEthiopia,ETH,2022,19.0\nEthiopia,ETH,2023,22.0\nEthiopia,ETH,2024,16.0\n```\n\nWhat was estimated mortality from all forms of tuberculosis per 100,000 population for Ethiopia in 1985?","response":"That year is outside this chart. The series runs 2000 to 2024, and 1985 falls before it begins, so there is no value to read. The earliest point available is 2000, at 189 deaths per 100,000 people.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/tuberculosis-death-rate__Ethiopia__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Tuberculosis death rate","source_citation":"WHO (2025); Population based on various sources (2024)","source_url":"https:\/\/ourworldindata.org\/grapher\/tuberculosis-death-rate?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nEthiopia,ETH,1990,12.764134\nEthiopia,ETH,1991,13.028953\nEthiopia,ETH,1992,13.279736\nEthiopia,ETH,1993,13.51076\nEthiopia,ETH,1994,13.717268\nEthiopia,ETH,1995,13.882558\nEthiopia,ETH,1996,14.102747\nEthiopia,ETH,1997,14.307345\nEthiopia,ETH,1998,14.513543\nEthiopia,ETH,1999,14.713322\nEthiopia,ETH,2000,14.91931\nEthiopia,ETH,2001,15.117767\nEthiopia,ETH,2002,15.333234\nEthiopia,ETH,2003,15.543854\nEthiopia,ETH,2004,15.758591\nEthiopia,ETH,2005,15.982967\nEthiopia,ETH,2006,16.214848\nEthiopia,ETH,2007,16.094833\nEthiopia,ETH,2008,16.79367\nEthiopia,ETH,2009,17.1511\nEthiopia,ETH,2010,17.493784\nEthiopia,ETH,2011,17.86379\nEthiopia,ETH,2012,18.206137\nEthiopia,ETH,2013,18.615515\nEthiopia,ETH,2014,19.026287\nEthiopia,ETH,2015,19.451567\nEthiopia,ETH,2016,19.876362\nEthiopia,ETH,2017,20.308485\nEthiopia,ETH,2018,20.78381\nEthiopia,ETH,2019,21.24867\nEthiopia,ETH,2020,21.626005\nEthiopia,ETH,2021,22.106709\nEthiopia,ETH,2022,22.736769\nEthiopia,ETH,2023,23.058647\nEthiopia,ETH,2024,23.622284\n```\n\nAccording to this chart, what was urban in Ethiopia in 2022?","response":"Reading the plotted point for 2022, urban in Ethiopia was 22.74 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nEthiopia,ETH,1990,12.764134\nEthiopia,ETH,1991,13.028953\nEthiopia,ETH,1992,13.279736\nEthiopia,ETH,1993,13.51076\nEthiopia,ETH,1994,13.717268\nEthiopia,ETH,1995,13.882558\nEthiopia,ETH,1996,14.102747\nEthiopia,ETH,1997,14.307345\nEthiopia,ETH,1998,14.513543\nEthiopia,ETH,1999,14.713322\nEthiopia,ETH,2000,14.91931\nEthiopia,ETH,2001,15.117767\nEthiopia,ETH,2002,15.333234\nEthiopia,ETH,2003,15.543854\nEthiopia,ETH,2004,15.758591\nEthiopia,ETH,2005,15.982967\nEthiopia,ETH,2006,16.214848\nEthiopia,ETH,2007,16.094833\nEthiopia,ETH,2008,16.79367\nEthiopia,ETH,2009,17.1511\nEthiopia,ETH,2010,17.493784\nEthiopia,ETH,2011,17.86379\nEthiopia,ETH,2012,18.206137\nEthiopia,ETH,2013,18.615515\nEthiopia,ETH,2014,19.026287\nEthiopia,ETH,2015,19.451567\nEthiopia,ETH,2016,19.876362\nEthiopia,ETH,2017,20.308485\nEthiopia,ETH,2018,20.78381\nEthiopia,ETH,2019,21.24867\nEthiopia,ETH,2020,21.626005\nEthiopia,ETH,2021,22.106709\nEthiopia,ETH,2022,22.736769\nEthiopia,ETH,2023,23.058647\nEthiopia,ETH,2024,23.622284\n```\n\nIn which year shown does urban reach its highest value for Ethiopia?","response":"The series peaks in 2024, at 23.62 %. The lowest point shown is 1990, at 12.76 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nEthiopia,ETH,1990,12.764134\nEthiopia,ETH,1991,13.028953\nEthiopia,ETH,1992,13.279736\nEthiopia,ETH,1993,13.51076\nEthiopia,ETH,1994,13.717268\nEthiopia,ETH,1995,13.882558\nEthiopia,ETH,1996,14.102747\nEthiopia,ETH,1997,14.307345\nEthiopia,ETH,1998,14.513543\nEthiopia,ETH,1999,14.713322\nEthiopia,ETH,2000,14.91931\nEthiopia,ETH,2001,15.117767\nEthiopia,ETH,2002,15.333234\nEthiopia,ETH,2003,15.543854\nEthiopia,ETH,2004,15.758591\nEthiopia,ETH,2005,15.982967\nEthiopia,ETH,2006,16.214848\nEthiopia,ETH,2007,16.094833\nEthiopia,ETH,2008,16.79367\nEthiopia,ETH,2009,17.1511\nEthiopia,ETH,2010,17.493784\nEthiopia,ETH,2011,17.86379\nEthiopia,ETH,2012,18.206137\nEthiopia,ETH,2013,18.615515\nEthiopia,ETH,2014,19.026287\nEthiopia,ETH,2015,19.451567\nEthiopia,ETH,2016,19.876362\nEthiopia,ETH,2017,20.308485\nEthiopia,ETH,2018,20.78381\nEthiopia,ETH,2019,21.24867\nEthiopia,ETH,2020,21.626005\nEthiopia,ETH,2021,22.106709\nEthiopia,ETH,2022,22.736769\nEthiopia,ETH,2023,23.058647\nEthiopia,ETH,2024,23.622284\n```\n\nHow much did urban change for Ethiopia between 1990 and 2024?","response":"It moved from 12.76 % in 1990 to 23.62 % in 2024, a change of 10.86 % (+85.07%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nEthiopia,ETH,1990,12.764134\nEthiopia,ETH,1991,13.028953\nEthiopia,ETH,1992,13.279736\nEthiopia,ETH,1993,13.51076\nEthiopia,ETH,1994,13.717268\nEthiopia,ETH,1995,13.882558\nEthiopia,ETH,1996,14.102747\nEthiopia,ETH,1997,14.307345\nEthiopia,ETH,1998,14.513543\nEthiopia,ETH,1999,14.713322\nEthiopia,ETH,2000,14.91931\nEthiopia,ETH,2001,15.117767\nEthiopia,ETH,2002,15.333234\nEthiopia,ETH,2003,15.543854\nEthiopia,ETH,2004,15.758591\nEthiopia,ETH,2005,15.982967\nEthiopia,ETH,2006,16.214848\nEthiopia,ETH,2007,16.094833\nEthiopia,ETH,2008,16.79367\nEthiopia,ETH,2009,17.1511\nEthiopia,ETH,2010,17.493784\nEthiopia,ETH,2011,17.86379\nEthiopia,ETH,2012,18.206137\nEthiopia,ETH,2013,18.615515\nEthiopia,ETH,2014,19.026287\nEthiopia,ETH,2015,19.451567\nEthiopia,ETH,2016,19.876362\nEthiopia,ETH,2017,20.308485\nEthiopia,ETH,2018,20.78381\nEthiopia,ETH,2019,21.24867\nEthiopia,ETH,2020,21.626005\nEthiopia,ETH,2021,22.106709\nEthiopia,ETH,2022,22.736769\nEthiopia,ETH,2023,23.058647\nEthiopia,ETH,2024,23.622284\n```\n\nWas urban in Ethiopia higher in 1993 or 2021?","response":"Higher in 2021. The chart gives 13.51 % for 1993 and 22.11 % for 2021, a difference of 8.6 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nEthiopia,ETH,1990,12.764134\nEthiopia,ETH,1991,13.028953\nEthiopia,ETH,1992,13.279736\nEthiopia,ETH,1993,13.51076\nEthiopia,ETH,1994,13.717268\nEthiopia,ETH,1995,13.882558\nEthiopia,ETH,1996,14.102747\nEthiopia,ETH,1997,14.307345\nEthiopia,ETH,1998,14.513543\nEthiopia,ETH,1999,14.713322\nEthiopia,ETH,2000,14.91931\nEthiopia,ETH,2001,15.117767\nEthiopia,ETH,2002,15.333234\nEthiopia,ETH,2003,15.543854\nEthiopia,ETH,2004,15.758591\nEthiopia,ETH,2005,15.982967\nEthiopia,ETH,2006,16.214848\nEthiopia,ETH,2007,16.094833\nEthiopia,ETH,2008,16.79367\nEthiopia,ETH,2009,17.1511\nEthiopia,ETH,2010,17.493784\nEthiopia,ETH,2011,17.86379\nEthiopia,ETH,2012,18.206137\nEthiopia,ETH,2013,18.615515\nEthiopia,ETH,2014,19.026287\nEthiopia,ETH,2015,19.451567\nEthiopia,ETH,2016,19.876362\nEthiopia,ETH,2017,20.308485\nEthiopia,ETH,2018,20.78381\nEthiopia,ETH,2019,21.24867\nEthiopia,ETH,2020,21.626005\nEthiopia,ETH,2021,22.106709\nEthiopia,ETH,2022,22.736769\nEthiopia,ETH,2023,23.058647\nEthiopia,ETH,2024,23.622284\n```\n\nAccording to this chart, what was urban in Ethiopia in 2022?","response":"Reading the plotted point for 2022, urban in Ethiopia was 22.74 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nEthiopia,ETH,1990,12.764134\nEthiopia,ETH,1991,13.028953\nEthiopia,ETH,1992,13.279736\nEthiopia,ETH,1993,13.51076\nEthiopia,ETH,1994,13.717268\nEthiopia,ETH,1995,13.882558\nEthiopia,ETH,1996,14.102747\nEthiopia,ETH,1997,14.307345\nEthiopia,ETH,1998,14.513543\nEthiopia,ETH,1999,14.713322\nEthiopia,ETH,2000,14.91931\nEthiopia,ETH,2001,15.117767\nEthiopia,ETH,2002,15.333234\nEthiopia,ETH,2003,15.543854\nEthiopia,ETH,2004,15.758591\nEthiopia,ETH,2005,15.982967\nEthiopia,ETH,2006,16.214848\nEthiopia,ETH,2007,16.094833\nEthiopia,ETH,2008,16.79367\nEthiopia,ETH,2009,17.1511\nEthiopia,ETH,2010,17.493784\nEthiopia,ETH,2011,17.86379\nEthiopia,ETH,2012,18.206137\nEthiopia,ETH,2013,18.615515\nEthiopia,ETH,2014,19.026287\nEthiopia,ETH,2015,19.451567\nEthiopia,ETH,2016,19.876362\nEthiopia,ETH,2017,20.308485\nEthiopia,ETH,2018,20.78381\nEthiopia,ETH,2019,21.24867\nEthiopia,ETH,2020,21.626005\nEthiopia,ETH,2021,22.106709\nEthiopia,ETH,2022,22.736769\nEthiopia,ETH,2023,23.058647\nEthiopia,ETH,2024,23.622284\n```\n\nIn which year shown does urban reach its highest value for Ethiopia?","response":"The series peaks in 2024, at 23.62 %. The lowest point shown is 1990, at 12.76 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nEthiopia,ETH,1990,12.764134\nEthiopia,ETH,1991,13.028953\nEthiopia,ETH,1992,13.279736\nEthiopia,ETH,1993,13.51076\nEthiopia,ETH,1994,13.717268\nEthiopia,ETH,1995,13.882558\nEthiopia,ETH,1996,14.102747\nEthiopia,ETH,1997,14.307345\nEthiopia,ETH,1998,14.513543\nEthiopia,ETH,1999,14.713322\nEthiopia,ETH,2000,14.91931\nEthiopia,ETH,2001,15.117767\nEthiopia,ETH,2002,15.333234\nEthiopia,ETH,2003,15.543854\nEthiopia,ETH,2004,15.758591\nEthiopia,ETH,2005,15.982967\nEthiopia,ETH,2006,16.214848\nEthiopia,ETH,2007,16.094833\nEthiopia,ETH,2008,16.79367\nEthiopia,ETH,2009,17.1511\nEthiopia,ETH,2010,17.493784\nEthiopia,ETH,2011,17.86379\nEthiopia,ETH,2012,18.206137\nEthiopia,ETH,2013,18.615515\nEthiopia,ETH,2014,19.026287\nEthiopia,ETH,2015,19.451567\nEthiopia,ETH,2016,19.876362\nEthiopia,ETH,2017,20.308485\nEthiopia,ETH,2018,20.78381\nEthiopia,ETH,2019,21.24867\nEthiopia,ETH,2020,21.626005\nEthiopia,ETH,2021,22.106709\nEthiopia,ETH,2022,22.736769\nEthiopia,ETH,2023,23.058647\nEthiopia,ETH,2024,23.622284\n```\n\nHow much did urban change for Ethiopia between 1990 and 2024?","response":"It moved from 12.76 % in 1990 to 23.62 % in 2024, a change of 10.86 % (+85.07%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nEthiopia,ETH,1990,12.764134\nEthiopia,ETH,1991,13.028953\nEthiopia,ETH,1992,13.279736\nEthiopia,ETH,1993,13.51076\nEthiopia,ETH,1994,13.717268\nEthiopia,ETH,1995,13.882558\nEthiopia,ETH,1996,14.102747\nEthiopia,ETH,1997,14.307345\nEthiopia,ETH,1998,14.513543\nEthiopia,ETH,1999,14.713322\nEthiopia,ETH,2000,14.91931\nEthiopia,ETH,2001,15.117767\nEthiopia,ETH,2002,15.333234\nEthiopia,ETH,2003,15.543854\nEthiopia,ETH,2004,15.758591\nEthiopia,ETH,2005,15.982967\nEthiopia,ETH,2006,16.214848\nEthiopia,ETH,2007,16.094833\nEthiopia,ETH,2008,16.79367\nEthiopia,ETH,2009,17.1511\nEthiopia,ETH,2010,17.493784\nEthiopia,ETH,2011,17.86379\nEthiopia,ETH,2012,18.206137\nEthiopia,ETH,2013,18.615515\nEthiopia,ETH,2014,19.026287\nEthiopia,ETH,2015,19.451567\nEthiopia,ETH,2016,19.876362\nEthiopia,ETH,2017,20.308485\nEthiopia,ETH,2018,20.78381\nEthiopia,ETH,2019,21.24867\nEthiopia,ETH,2020,21.626005\nEthiopia,ETH,2021,22.106709\nEthiopia,ETH,2022,22.736769\nEthiopia,ETH,2023,23.058647\nEthiopia,ETH,2024,23.622284\n```\n\nWas urban in Ethiopia higher in 1993 or 2021?","response":"Higher in 2021. The chart gives 13.51 % for 1993 and 22.11 % for 2021, a difference of 8.6 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nEthiopia,ETH,1990,12.764134\nEthiopia,ETH,1991,13.028953\nEthiopia,ETH,1992,13.279736\nEthiopia,ETH,1993,13.51076\nEthiopia,ETH,1994,13.717268\nEthiopia,ETH,1995,13.882558\nEthiopia,ETH,1996,14.102747\nEthiopia,ETH,1997,14.307345\nEthiopia,ETH,1998,14.513543\nEthiopia,ETH,1999,14.713322\nEthiopia,ETH,2000,14.91931\nEthiopia,ETH,2001,15.117767\nEthiopia,ETH,2002,15.333234\nEthiopia,ETH,2003,15.543854\nEthiopia,ETH,2004,15.758591\nEthiopia,ETH,2005,15.982967\nEthiopia,ETH,2006,16.214848\nEthiopia,ETH,2007,16.094833\nEthiopia,ETH,2008,16.79367\nEthiopia,ETH,2009,17.1511\nEthiopia,ETH,2010,17.493784\nEthiopia,ETH,2011,17.86379\nEthiopia,ETH,2012,18.206137\nEthiopia,ETH,2013,18.615515\nEthiopia,ETH,2014,19.026287\nEthiopia,ETH,2015,19.451567\nEthiopia,ETH,2016,19.876362\nEthiopia,ETH,2017,20.308485\nEthiopia,ETH,2018,20.78381\nEthiopia,ETH,2019,21.24867\nEthiopia,ETH,2020,21.626005\nEthiopia,ETH,2021,22.106709\nEthiopia,ETH,2022,22.736769\nEthiopia,ETH,2023,23.058647\nEthiopia,ETH,2024,23.622284\n```\n\nThis chart makes the change in urban for Ethiopia look dramatic. Is it?","response":"The values change by +85.07%, from 12.76 % to 23.62 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nEthiopia,ETH,1990,12.764134\nEthiopia,ETH,1991,13.028953\nEthiopia,ETH,1992,13.279736\nEthiopia,ETH,1993,13.51076\nEthiopia,ETH,1994,13.717268\nEthiopia,ETH,1995,13.882558\nEthiopia,ETH,1996,14.102747\nEthiopia,ETH,1997,14.307345\nEthiopia,ETH,1998,14.513543\nEthiopia,ETH,1999,14.713322\nEthiopia,ETH,2000,14.91931\nEthiopia,ETH,2001,15.117767\nEthiopia,ETH,2002,15.333234\nEthiopia,ETH,2003,15.543854\nEthiopia,ETH,2004,15.758591\nEthiopia,ETH,2005,15.982967\nEthiopia,ETH,2006,16.214848\nEthiopia,ETH,2007,16.094833\nEthiopia,ETH,2008,16.79367\nEthiopia,ETH,2009,17.1511\nEthiopia,ETH,2010,17.493784\nEthiopia,ETH,2011,17.86379\nEthiopia,ETH,2012,18.206137\nEthiopia,ETH,2013,18.615515\nEthiopia,ETH,2014,19.026287\nEthiopia,ETH,2015,19.451567\nEthiopia,ETH,2016,19.876362\nEthiopia,ETH,2017,20.308485\nEthiopia,ETH,2018,20.78381\nEthiopia,ETH,2019,21.24867\nEthiopia,ETH,2020,21.626005\nEthiopia,ETH,2021,22.106709\nEthiopia,ETH,2022,22.736769\nEthiopia,ETH,2023,23.058647\nEthiopia,ETH,2024,23.622284\n```\n\nThis chart appears to show urban in Ethiopia rising steeply. How large is the increase actually?","response":"The plotted values run from 12.76 % to 23.62 %, so the actual change is +85.07%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 12.547 instead of zero, which magnifies the visual change by roughly 2.26x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nEthiopia,ETH,1990,12.764134\nEthiopia,ETH,1991,13.028953\nEthiopia,ETH,1992,13.279736\nEthiopia,ETH,1993,13.51076\nEthiopia,ETH,1994,13.717268\nEthiopia,ETH,1995,13.882558\nEthiopia,ETH,1996,14.102747\nEthiopia,ETH,1997,14.307345\nEthiopia,ETH,1998,14.513543\nEthiopia,ETH,1999,14.713322\nEthiopia,ETH,2000,14.91931\nEthiopia,ETH,2001,15.117767\nEthiopia,ETH,2002,15.333234\nEthiopia,ETH,2003,15.543854\nEthiopia,ETH,2004,15.758591\nEthiopia,ETH,2005,15.982967\nEthiopia,ETH,2006,16.214848\nEthiopia,ETH,2007,16.094833\nEthiopia,ETH,2008,16.79367\nEthiopia,ETH,2009,17.1511\nEthiopia,ETH,2010,17.493784\nEthiopia,ETH,2011,17.86379\nEthiopia,ETH,2012,18.206137\nEthiopia,ETH,2013,18.615515\nEthiopia,ETH,2014,19.026287\nEthiopia,ETH,2015,19.451567\nEthiopia,ETH,2016,19.876362\nEthiopia,ETH,2017,20.308485\nEthiopia,ETH,2018,20.78381\nEthiopia,ETH,2019,21.24867\nEthiopia,ETH,2020,21.626005\nEthiopia,ETH,2021,22.106709\nEthiopia,ETH,2022,22.736769\nEthiopia,ETH,2023,23.058647\nEthiopia,ETH,2024,23.622284\n```\n\nWhat caused the change in urban for Ethiopia around 2008?","response":"The chart shows that the change happened: urban moves to 16.79 % in 2008. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Ethiopia__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nPeru,PER,1990,68.9308\nPeru,PER,1991,69.31172\nPeru,PER,1992,69.70005\nPeru,PER,1993,70.09979\nPeru,PER,1994,70.50031\nPeru,PER,1995,70.889854\nPeru,PER,1996,71.27113\nPeru,PER,1997,71.647095\nPeru,PER,1998,72.02068\nPeru,PER,1999,72.39483\nPeru,PER,2000,72.772484\nPeru,PER,2001,73.15658\nPeru,PER,2002,73.550064\nPeru,PER,2003,73.95587\nPeru,PER,2004,74.37695\nPeru,PER,2005,74.81624\nPeru,PER,2006,75.276665\nPeru,PER,2007,75.76153\nPeru,PER,2008,76.27449\nPeru,PER,2009,76.82215\nPeru,PER,2010,77.40209\nPeru,PER,2011,78.01182\nPeru,PER,2012,78.6488\nPeru,PER,2013,79.310555\nPeru,PER,2014,79.994545\nPeru,PER,2015,80.69828\nPeru,PER,2016,81.419235\nPeru,PER,2017,82.19317\nPeru,PER,2018,82.68549\nPeru,PER,2019,83.1033\nPeru,PER,2020,83.52674\nPeru,PER,2021,83.94801\nPeru,PER,2022,84.366356\nPeru,PER,2023,84.78103\nPeru,PER,2024,85.19128\n```\n\nAccording to this chart, what was urban in Peru in 2006?","response":"Reading the plotted point for 2006, urban in Peru was 75.28 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nPeru,PER,1990,68.9308\nPeru,PER,1991,69.31172\nPeru,PER,1992,69.70005\nPeru,PER,1993,70.09979\nPeru,PER,1994,70.50031\nPeru,PER,1995,70.889854\nPeru,PER,1996,71.27113\nPeru,PER,1997,71.647095\nPeru,PER,1998,72.02068\nPeru,PER,1999,72.39483\nPeru,PER,2000,72.772484\nPeru,PER,2001,73.15658\nPeru,PER,2002,73.550064\nPeru,PER,2003,73.95587\nPeru,PER,2004,74.37695\nPeru,PER,2005,74.81624\nPeru,PER,2006,75.276665\nPeru,PER,2007,75.76153\nPeru,PER,2008,76.27449\nPeru,PER,2009,76.82215\nPeru,PER,2010,77.40209\nPeru,PER,2011,78.01182\nPeru,PER,2012,78.6488\nPeru,PER,2013,79.310555\nPeru,PER,2014,79.994545\nPeru,PER,2015,80.69828\nPeru,PER,2016,81.419235\nPeru,PER,2017,82.19317\nPeru,PER,2018,82.68549\nPeru,PER,2019,83.1033\nPeru,PER,2020,83.52674\nPeru,PER,2021,83.94801\nPeru,PER,2022,84.366356\nPeru,PER,2023,84.78103\nPeru,PER,2024,85.19128\n```\n\nIn which year shown does urban reach its highest value for Peru?","response":"The series peaks in 2024, at 85.19 %. The lowest point shown is 1990, at 68.93 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nPeru,PER,1990,68.9308\nPeru,PER,1991,69.31172\nPeru,PER,1992,69.70005\nPeru,PER,1993,70.09979\nPeru,PER,1994,70.50031\nPeru,PER,1995,70.889854\nPeru,PER,1996,71.27113\nPeru,PER,1997,71.647095\nPeru,PER,1998,72.02068\nPeru,PER,1999,72.39483\nPeru,PER,2000,72.772484\nPeru,PER,2001,73.15658\nPeru,PER,2002,73.550064\nPeru,PER,2003,73.95587\nPeru,PER,2004,74.37695\nPeru,PER,2005,74.81624\nPeru,PER,2006,75.276665\nPeru,PER,2007,75.76153\nPeru,PER,2008,76.27449\nPeru,PER,2009,76.82215\nPeru,PER,2010,77.40209\nPeru,PER,2011,78.01182\nPeru,PER,2012,78.6488\nPeru,PER,2013,79.310555\nPeru,PER,2014,79.994545\nPeru,PER,2015,80.69828\nPeru,PER,2016,81.419235\nPeru,PER,2017,82.19317\nPeru,PER,2018,82.68549\nPeru,PER,2019,83.1033\nPeru,PER,2020,83.52674\nPeru,PER,2021,83.94801\nPeru,PER,2022,84.366356\nPeru,PER,2023,84.78103\nPeru,PER,2024,85.19128\n```\n\nHow much did urban change for Peru between 1990 and 2024?","response":"It moved from 68.93 % in 1990 to 85.19 % in 2024, a change of 16.26 % (+23.59%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nPeru,PER,1990,68.9308\nPeru,PER,1991,69.31172\nPeru,PER,1992,69.70005\nPeru,PER,1993,70.09979\nPeru,PER,1994,70.50031\nPeru,PER,1995,70.889854\nPeru,PER,1996,71.27113\nPeru,PER,1997,71.647095\nPeru,PER,1998,72.02068\nPeru,PER,1999,72.39483\nPeru,PER,2000,72.772484\nPeru,PER,2001,73.15658\nPeru,PER,2002,73.550064\nPeru,PER,2003,73.95587\nPeru,PER,2004,74.37695\nPeru,PER,2005,74.81624\nPeru,PER,2006,75.276665\nPeru,PER,2007,75.76153\nPeru,PER,2008,76.27449\nPeru,PER,2009,76.82215\nPeru,PER,2010,77.40209\nPeru,PER,2011,78.01182\nPeru,PER,2012,78.6488\nPeru,PER,2013,79.310555\nPeru,PER,2014,79.994545\nPeru,PER,2015,80.69828\nPeru,PER,2016,81.419235\nPeru,PER,2017,82.19317\nPeru,PER,2018,82.68549\nPeru,PER,2019,83.1033\nPeru,PER,2020,83.52674\nPeru,PER,2021,83.94801\nPeru,PER,2022,84.366356\nPeru,PER,2023,84.78103\nPeru,PER,2024,85.19128\n```\n\nWas urban in Peru higher in 1997 or 2022?","response":"Higher in 2022. The chart gives 71.65 % for 1997 and 84.37 % for 2022, a difference of 12.72 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nPeru,PER,1990,68.9308\nPeru,PER,1991,69.31172\nPeru,PER,1992,69.70005\nPeru,PER,1993,70.09979\nPeru,PER,1994,70.50031\nPeru,PER,1995,70.889854\nPeru,PER,1996,71.27113\nPeru,PER,1997,71.647095\nPeru,PER,1998,72.02068\nPeru,PER,1999,72.39483\nPeru,PER,2000,72.772484\nPeru,PER,2001,73.15658\nPeru,PER,2002,73.550064\nPeru,PER,2003,73.95587\nPeru,PER,2004,74.37695\nPeru,PER,2005,74.81624\nPeru,PER,2006,75.276665\nPeru,PER,2007,75.76153\nPeru,PER,2008,76.27449\nPeru,PER,2009,76.82215\nPeru,PER,2010,77.40209\nPeru,PER,2011,78.01182\nPeru,PER,2012,78.6488\nPeru,PER,2013,79.310555\nPeru,PER,2014,79.994545\nPeru,PER,2015,80.69828\nPeru,PER,2016,81.419235\nPeru,PER,2017,82.19317\nPeru,PER,2018,82.68549\nPeru,PER,2019,83.1033\nPeru,PER,2020,83.52674\nPeru,PER,2021,83.94801\nPeru,PER,2022,84.366356\nPeru,PER,2023,84.78103\nPeru,PER,2024,85.19128\n```\n\nAccording to this chart, what was urban in Peru in 2006?","response":"Reading the plotted point for 2006, urban in Peru was 75.28 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nPeru,PER,1990,68.9308\nPeru,PER,1991,69.31172\nPeru,PER,1992,69.70005\nPeru,PER,1993,70.09979\nPeru,PER,1994,70.50031\nPeru,PER,1995,70.889854\nPeru,PER,1996,71.27113\nPeru,PER,1997,71.647095\nPeru,PER,1998,72.02068\nPeru,PER,1999,72.39483\nPeru,PER,2000,72.772484\nPeru,PER,2001,73.15658\nPeru,PER,2002,73.550064\nPeru,PER,2003,73.95587\nPeru,PER,2004,74.37695\nPeru,PER,2005,74.81624\nPeru,PER,2006,75.276665\nPeru,PER,2007,75.76153\nPeru,PER,2008,76.27449\nPeru,PER,2009,76.82215\nPeru,PER,2010,77.40209\nPeru,PER,2011,78.01182\nPeru,PER,2012,78.6488\nPeru,PER,2013,79.310555\nPeru,PER,2014,79.994545\nPeru,PER,2015,80.69828\nPeru,PER,2016,81.419235\nPeru,PER,2017,82.19317\nPeru,PER,2018,82.68549\nPeru,PER,2019,83.1033\nPeru,PER,2020,83.52674\nPeru,PER,2021,83.94801\nPeru,PER,2022,84.366356\nPeru,PER,2023,84.78103\nPeru,PER,2024,85.19128\n```\n\nIn which year shown does urban reach its highest value for Peru?","response":"The series peaks in 2024, at 85.19 %. The lowest point shown is 1990, at 68.93 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nPeru,PER,1990,68.9308\nPeru,PER,1991,69.31172\nPeru,PER,1992,69.70005\nPeru,PER,1993,70.09979\nPeru,PER,1994,70.50031\nPeru,PER,1995,70.889854\nPeru,PER,1996,71.27113\nPeru,PER,1997,71.647095\nPeru,PER,1998,72.02068\nPeru,PER,1999,72.39483\nPeru,PER,2000,72.772484\nPeru,PER,2001,73.15658\nPeru,PER,2002,73.550064\nPeru,PER,2003,73.95587\nPeru,PER,2004,74.37695\nPeru,PER,2005,74.81624\nPeru,PER,2006,75.276665\nPeru,PER,2007,75.76153\nPeru,PER,2008,76.27449\nPeru,PER,2009,76.82215\nPeru,PER,2010,77.40209\nPeru,PER,2011,78.01182\nPeru,PER,2012,78.6488\nPeru,PER,2013,79.310555\nPeru,PER,2014,79.994545\nPeru,PER,2015,80.69828\nPeru,PER,2016,81.419235\nPeru,PER,2017,82.19317\nPeru,PER,2018,82.68549\nPeru,PER,2019,83.1033\nPeru,PER,2020,83.52674\nPeru,PER,2021,83.94801\nPeru,PER,2022,84.366356\nPeru,PER,2023,84.78103\nPeru,PER,2024,85.19128\n```\n\nHow much did urban change for Peru between 1990 and 2024?","response":"It moved from 68.93 % in 1990 to 85.19 % in 2024, a change of 16.26 % (+23.59%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nPeru,PER,1990,68.9308\nPeru,PER,1991,69.31172\nPeru,PER,1992,69.70005\nPeru,PER,1993,70.09979\nPeru,PER,1994,70.50031\nPeru,PER,1995,70.889854\nPeru,PER,1996,71.27113\nPeru,PER,1997,71.647095\nPeru,PER,1998,72.02068\nPeru,PER,1999,72.39483\nPeru,PER,2000,72.772484\nPeru,PER,2001,73.15658\nPeru,PER,2002,73.550064\nPeru,PER,2003,73.95587\nPeru,PER,2004,74.37695\nPeru,PER,2005,74.81624\nPeru,PER,2006,75.276665\nPeru,PER,2007,75.76153\nPeru,PER,2008,76.27449\nPeru,PER,2009,76.82215\nPeru,PER,2010,77.40209\nPeru,PER,2011,78.01182\nPeru,PER,2012,78.6488\nPeru,PER,2013,79.310555\nPeru,PER,2014,79.994545\nPeru,PER,2015,80.69828\nPeru,PER,2016,81.419235\nPeru,PER,2017,82.19317\nPeru,PER,2018,82.68549\nPeru,PER,2019,83.1033\nPeru,PER,2020,83.52674\nPeru,PER,2021,83.94801\nPeru,PER,2022,84.366356\nPeru,PER,2023,84.78103\nPeru,PER,2024,85.19128\n```\n\nWas urban in Peru higher in 1997 or 2022?","response":"Higher in 2022. The chart gives 71.65 % for 1997 and 84.37 % for 2022, a difference of 12.72 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nPeru,PER,1990,68.9308\nPeru,PER,1991,69.31172\nPeru,PER,1992,69.70005\nPeru,PER,1993,70.09979\nPeru,PER,1994,70.50031\nPeru,PER,1995,70.889854\nPeru,PER,1996,71.27113\nPeru,PER,1997,71.647095\nPeru,PER,1998,72.02068\nPeru,PER,1999,72.39483\nPeru,PER,2000,72.772484\nPeru,PER,2001,73.15658\nPeru,PER,2002,73.550064\nPeru,PER,2003,73.95587\nPeru,PER,2004,74.37695\nPeru,PER,2005,74.81624\nPeru,PER,2006,75.276665\nPeru,PER,2007,75.76153\nPeru,PER,2008,76.27449\nPeru,PER,2009,76.82215\nPeru,PER,2010,77.40209\nPeru,PER,2011,78.01182\nPeru,PER,2012,78.6488\nPeru,PER,2013,79.310555\nPeru,PER,2014,79.994545\nPeru,PER,2015,80.69828\nPeru,PER,2016,81.419235\nPeru,PER,2017,82.19317\nPeru,PER,2018,82.68549\nPeru,PER,2019,83.1033\nPeru,PER,2020,83.52674\nPeru,PER,2021,83.94801\nPeru,PER,2022,84.366356\nPeru,PER,2023,84.78103\nPeru,PER,2024,85.19128\n```\n\nThis chart appears to show urban in Peru rising steeply. How large is the increase actually?","response":"The plotted values run from 68.93 % to 85.19 %, so the actual change is +23.59%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 61.7266 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nPeru,PER,1990,68.9308\nPeru,PER,1991,69.31172\nPeru,PER,1992,69.70005\nPeru,PER,1993,70.09979\nPeru,PER,1994,70.50031\nPeru,PER,1995,70.889854\nPeru,PER,1996,71.27113\nPeru,PER,1997,71.647095\nPeru,PER,1998,72.02068\nPeru,PER,1999,72.39483\nPeru,PER,2000,72.772484\nPeru,PER,2001,73.15658\nPeru,PER,2002,73.550064\nPeru,PER,2003,73.95587\nPeru,PER,2004,74.37695\nPeru,PER,2005,74.81624\nPeru,PER,2006,75.276665\nPeru,PER,2007,75.76153\nPeru,PER,2008,76.27449\nPeru,PER,2009,76.82215\nPeru,PER,2010,77.40209\nPeru,PER,2011,78.01182\nPeru,PER,2012,78.6488\nPeru,PER,2013,79.310555\nPeru,PER,2014,79.994545\nPeru,PER,2015,80.69828\nPeru,PER,2016,81.419235\nPeru,PER,2017,82.19317\nPeru,PER,2018,82.68549\nPeru,PER,2019,83.1033\nPeru,PER,2020,83.52674\nPeru,PER,2021,83.94801\nPeru,PER,2022,84.366356\nPeru,PER,2023,84.78103\nPeru,PER,2024,85.19128\n```\n\nBased on this chart, is urban in Peru rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 68.93 % to 85.19 %, a change of +23.59%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nPeru,PER,1990,68.9308\nPeru,PER,1991,69.31172\nPeru,PER,1992,69.70005\nPeru,PER,1993,70.09979\nPeru,PER,1994,70.50031\nPeru,PER,1995,70.889854\nPeru,PER,1996,71.27113\nPeru,PER,1997,71.647095\nPeru,PER,1998,72.02068\nPeru,PER,1999,72.39483\nPeru,PER,2000,72.772484\nPeru,PER,2001,73.15658\nPeru,PER,2002,73.550064\nPeru,PER,2003,73.95587\nPeru,PER,2004,74.37695\nPeru,PER,2005,74.81624\nPeru,PER,2006,75.276665\nPeru,PER,2007,75.76153\nPeru,PER,2008,76.27449\nPeru,PER,2009,76.82215\nPeru,PER,2010,77.40209\nPeru,PER,2011,78.01182\nPeru,PER,2012,78.6488\nPeru,PER,2013,79.310555\nPeru,PER,2014,79.994545\nPeru,PER,2015,80.69828\nPeru,PER,2016,81.419235\nPeru,PER,2017,82.19317\nPeru,PER,2018,82.68549\nPeru,PER,2019,83.1033\nPeru,PER,2020,83.52674\nPeru,PER,2021,83.94801\nPeru,PER,2022,84.366356\nPeru,PER,2023,84.78103\nPeru,PER,2024,85.19128\n```\n\nWhat was urban for Peru in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 68.93 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Peru__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nThailand,THA,1990,18.807148\nThailand,THA,1991,19.356846\nThailand,THA,1992,20.225147\nThailand,THA,1993,21.344368\nThailand,THA,1994,22.657864\nThailand,THA,1995,24.108986\nThailand,THA,1996,25.641088\nThailand,THA,1997,27.197525\nThailand,THA,1998,28.72165\nThailand,THA,1999,30.156815\nThailand,THA,2000,31.462622\nThailand,THA,2001,32.742805\nThailand,THA,2002,34.073277\nThailand,THA,2003,35.427036\nThailand,THA,2004,36.785515\nThailand,THA,2005,38.13016\nThailand,THA,2006,39.4424\nThailand,THA,2007,40.70369\nThailand,THA,2008,41.89545\nThailand,THA,2009,42.99913\nThailand,THA,2010,44.001873\nThailand,THA,2011,44.80487\nThailand,THA,2012,45.373566\nThailand,THA,2013,45.832134\nThailand,THA,2014,46.31388\nThailand,THA,2015,46.952103\nThailand,THA,2016,47.880108\nThailand,THA,2017,49.231197\nThailand,THA,2018,54.584373\nThailand,THA,2019,55.926617\nThailand,THA,2020,57.235878\nThailand,THA,2021,58.508778\nThailand,THA,2022,59.742374\nThailand,THA,2023,60.934193\nThailand,THA,2024,61.868935\n```\n\nAccording to this chart, what was urban in Thailand in 2016?","response":"Reading the plotted point for 2016, urban in Thailand was 47.88 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nThailand,THA,1990,18.807148\nThailand,THA,1991,19.356846\nThailand,THA,1992,20.225147\nThailand,THA,1993,21.344368\nThailand,THA,1994,22.657864\nThailand,THA,1995,24.108986\nThailand,THA,1996,25.641088\nThailand,THA,1997,27.197525\nThailand,THA,1998,28.72165\nThailand,THA,1999,30.156815\nThailand,THA,2000,31.462622\nThailand,THA,2001,32.742805\nThailand,THA,2002,34.073277\nThailand,THA,2003,35.427036\nThailand,THA,2004,36.785515\nThailand,THA,2005,38.13016\nThailand,THA,2006,39.4424\nThailand,THA,2007,40.70369\nThailand,THA,2008,41.89545\nThailand,THA,2009,42.99913\nThailand,THA,2010,44.001873\nThailand,THA,2011,44.80487\nThailand,THA,2012,45.373566\nThailand,THA,2013,45.832134\nThailand,THA,2014,46.31388\nThailand,THA,2015,46.952103\nThailand,THA,2016,47.880108\nThailand,THA,2017,49.231197\nThailand,THA,2018,54.584373\nThailand,THA,2019,55.926617\nThailand,THA,2020,57.235878\nThailand,THA,2021,58.508778\nThailand,THA,2022,59.742374\nThailand,THA,2023,60.934193\nThailand,THA,2024,61.868935\n```\n\nIn which year shown does urban reach its highest value for Thailand?","response":"The series peaks in 2024, at 61.87 %. The lowest point shown is 1990, at 18.81 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nThailand,THA,1990,18.807148\nThailand,THA,1991,19.356846\nThailand,THA,1992,20.225147\nThailand,THA,1993,21.344368\nThailand,THA,1994,22.657864\nThailand,THA,1995,24.108986\nThailand,THA,1996,25.641088\nThailand,THA,1997,27.197525\nThailand,THA,1998,28.72165\nThailand,THA,1999,30.156815\nThailand,THA,2000,31.462622\nThailand,THA,2001,32.742805\nThailand,THA,2002,34.073277\nThailand,THA,2003,35.427036\nThailand,THA,2004,36.785515\nThailand,THA,2005,38.13016\nThailand,THA,2006,39.4424\nThailand,THA,2007,40.70369\nThailand,THA,2008,41.89545\nThailand,THA,2009,42.99913\nThailand,THA,2010,44.001873\nThailand,THA,2011,44.80487\nThailand,THA,2012,45.373566\nThailand,THA,2013,45.832134\nThailand,THA,2014,46.31388\nThailand,THA,2015,46.952103\nThailand,THA,2016,47.880108\nThailand,THA,2017,49.231197\nThailand,THA,2018,54.584373\nThailand,THA,2019,55.926617\nThailand,THA,2020,57.235878\nThailand,THA,2021,58.508778\nThailand,THA,2022,59.742374\nThailand,THA,2023,60.934193\nThailand,THA,2024,61.868935\n```\n\nHow much did urban change for Thailand between 1990 and 2024?","response":"It moved from 18.81 % in 1990 to 61.87 % in 2024, a change of 43.06 % (+228.97%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nThailand,THA,1990,18.807148\nThailand,THA,1991,19.356846\nThailand,THA,1992,20.225147\nThailand,THA,1993,21.344368\nThailand,THA,1994,22.657864\nThailand,THA,1995,24.108986\nThailand,THA,1996,25.641088\nThailand,THA,1997,27.197525\nThailand,THA,1998,28.72165\nThailand,THA,1999,30.156815\nThailand,THA,2000,31.462622\nThailand,THA,2001,32.742805\nThailand,THA,2002,34.073277\nThailand,THA,2003,35.427036\nThailand,THA,2004,36.785515\nThailand,THA,2005,38.13016\nThailand,THA,2006,39.4424\nThailand,THA,2007,40.70369\nThailand,THA,2008,41.89545\nThailand,THA,2009,42.99913\nThailand,THA,2010,44.001873\nThailand,THA,2011,44.80487\nThailand,THA,2012,45.373566\nThailand,THA,2013,45.832134\nThailand,THA,2014,46.31388\nThailand,THA,2015,46.952103\nThailand,THA,2016,47.880108\nThailand,THA,2017,49.231197\nThailand,THA,2018,54.584373\nThailand,THA,2019,55.926617\nThailand,THA,2020,57.235878\nThailand,THA,2021,58.508778\nThailand,THA,2022,59.742374\nThailand,THA,2023,60.934193\nThailand,THA,2024,61.868935\n```\n\nWas urban in Thailand higher in 1995 or 2018?","response":"Higher in 2018. The chart gives 24.11 % for 1995 and 54.58 % for 2018, a difference of 30.48 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nThailand,THA,1990,18.807148\nThailand,THA,1991,19.356846\nThailand,THA,1992,20.225147\nThailand,THA,1993,21.344368\nThailand,THA,1994,22.657864\nThailand,THA,1995,24.108986\nThailand,THA,1996,25.641088\nThailand,THA,1997,27.197525\nThailand,THA,1998,28.72165\nThailand,THA,1999,30.156815\nThailand,THA,2000,31.462622\nThailand,THA,2001,32.742805\nThailand,THA,2002,34.073277\nThailand,THA,2003,35.427036\nThailand,THA,2004,36.785515\nThailand,THA,2005,38.13016\nThailand,THA,2006,39.4424\nThailand,THA,2007,40.70369\nThailand,THA,2008,41.89545\nThailand,THA,2009,42.99913\nThailand,THA,2010,44.001873\nThailand,THA,2011,44.80487\nThailand,THA,2012,45.373566\nThailand,THA,2013,45.832134\nThailand,THA,2014,46.31388\nThailand,THA,2015,46.952103\nThailand,THA,2016,47.880108\nThailand,THA,2017,49.231197\nThailand,THA,2018,54.584373\nThailand,THA,2019,55.926617\nThailand,THA,2020,57.235878\nThailand,THA,2021,58.508778\nThailand,THA,2022,59.742374\nThailand,THA,2023,60.934193\nThailand,THA,2024,61.868935\n```\n\nAccording to this chart, what was urban in Thailand in 2016?","response":"Reading the plotted point for 2016, urban in Thailand was 47.88 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nThailand,THA,1990,18.807148\nThailand,THA,1991,19.356846\nThailand,THA,1992,20.225147\nThailand,THA,1993,21.344368\nThailand,THA,1994,22.657864\nThailand,THA,1995,24.108986\nThailand,THA,1996,25.641088\nThailand,THA,1997,27.197525\nThailand,THA,1998,28.72165\nThailand,THA,1999,30.156815\nThailand,THA,2000,31.462622\nThailand,THA,2001,32.742805\nThailand,THA,2002,34.073277\nThailand,THA,2003,35.427036\nThailand,THA,2004,36.785515\nThailand,THA,2005,38.13016\nThailand,THA,2006,39.4424\nThailand,THA,2007,40.70369\nThailand,THA,2008,41.89545\nThailand,THA,2009,42.99913\nThailand,THA,2010,44.001873\nThailand,THA,2011,44.80487\nThailand,THA,2012,45.373566\nThailand,THA,2013,45.832134\nThailand,THA,2014,46.31388\nThailand,THA,2015,46.952103\nThailand,THA,2016,47.880108\nThailand,THA,2017,49.231197\nThailand,THA,2018,54.584373\nThailand,THA,2019,55.926617\nThailand,THA,2020,57.235878\nThailand,THA,2021,58.508778\nThailand,THA,2022,59.742374\nThailand,THA,2023,60.934193\nThailand,THA,2024,61.868935\n```\n\nIn which year shown does urban reach its highest value for Thailand?","response":"The series peaks in 2024, at 61.87 %. The lowest point shown is 1990, at 18.81 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nThailand,THA,1990,18.807148\nThailand,THA,1991,19.356846\nThailand,THA,1992,20.225147\nThailand,THA,1993,21.344368\nThailand,THA,1994,22.657864\nThailand,THA,1995,24.108986\nThailand,THA,1996,25.641088\nThailand,THA,1997,27.197525\nThailand,THA,1998,28.72165\nThailand,THA,1999,30.156815\nThailand,THA,2000,31.462622\nThailand,THA,2001,32.742805\nThailand,THA,2002,34.073277\nThailand,THA,2003,35.427036\nThailand,THA,2004,36.785515\nThailand,THA,2005,38.13016\nThailand,THA,2006,39.4424\nThailand,THA,2007,40.70369\nThailand,THA,2008,41.89545\nThailand,THA,2009,42.99913\nThailand,THA,2010,44.001873\nThailand,THA,2011,44.80487\nThailand,THA,2012,45.373566\nThailand,THA,2013,45.832134\nThailand,THA,2014,46.31388\nThailand,THA,2015,46.952103\nThailand,THA,2016,47.880108\nThailand,THA,2017,49.231197\nThailand,THA,2018,54.584373\nThailand,THA,2019,55.926617\nThailand,THA,2020,57.235878\nThailand,THA,2021,58.508778\nThailand,THA,2022,59.742374\nThailand,THA,2023,60.934193\nThailand,THA,2024,61.868935\n```\n\nHow much did urban change for Thailand between 1990 and 2024?","response":"It moved from 18.81 % in 1990 to 61.87 % in 2024, a change of 43.06 % (+228.97%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nThailand,THA,1990,18.807148\nThailand,THA,1991,19.356846\nThailand,THA,1992,20.225147\nThailand,THA,1993,21.344368\nThailand,THA,1994,22.657864\nThailand,THA,1995,24.108986\nThailand,THA,1996,25.641088\nThailand,THA,1997,27.197525\nThailand,THA,1998,28.72165\nThailand,THA,1999,30.156815\nThailand,THA,2000,31.462622\nThailand,THA,2001,32.742805\nThailand,THA,2002,34.073277\nThailand,THA,2003,35.427036\nThailand,THA,2004,36.785515\nThailand,THA,2005,38.13016\nThailand,THA,2006,39.4424\nThailand,THA,2007,40.70369\nThailand,THA,2008,41.89545\nThailand,THA,2009,42.99913\nThailand,THA,2010,44.001873\nThailand,THA,2011,44.80487\nThailand,THA,2012,45.373566\nThailand,THA,2013,45.832134\nThailand,THA,2014,46.31388\nThailand,THA,2015,46.952103\nThailand,THA,2016,47.880108\nThailand,THA,2017,49.231197\nThailand,THA,2018,54.584373\nThailand,THA,2019,55.926617\nThailand,THA,2020,57.235878\nThailand,THA,2021,58.508778\nThailand,THA,2022,59.742374\nThailand,THA,2023,60.934193\nThailand,THA,2024,61.868935\n```\n\nWas urban in Thailand higher in 1995 or 2018?","response":"Higher in 2018. The chart gives 24.11 % for 1995 and 54.58 % for 2018, a difference of 30.48 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nThailand,THA,1990,18.807148\nThailand,THA,1991,19.356846\nThailand,THA,1992,20.225147\nThailand,THA,1993,21.344368\nThailand,THA,1994,22.657864\nThailand,THA,1995,24.108986\nThailand,THA,1996,25.641088\nThailand,THA,1997,27.197525\nThailand,THA,1998,28.72165\nThailand,THA,1999,30.156815\nThailand,THA,2000,31.462622\nThailand,THA,2001,32.742805\nThailand,THA,2002,34.073277\nThailand,THA,2003,35.427036\nThailand,THA,2004,36.785515\nThailand,THA,2005,38.13016\nThailand,THA,2006,39.4424\nThailand,THA,2007,40.70369\nThailand,THA,2008,41.89545\nThailand,THA,2009,42.99913\nThailand,THA,2010,44.001873\nThailand,THA,2011,44.80487\nThailand,THA,2012,45.373566\nThailand,THA,2013,45.832134\nThailand,THA,2014,46.31388\nThailand,THA,2015,46.952103\nThailand,THA,2016,47.880108\nThailand,THA,2017,49.231197\nThailand,THA,2018,54.584373\nThailand,THA,2019,55.926617\nThailand,THA,2020,57.235878\nThailand,THA,2021,58.508778\nThailand,THA,2022,59.742374\nThailand,THA,2023,60.934193\nThailand,THA,2024,61.868935\n```\n\nBased on this chart, is urban in Thailand rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 18.81 % to 61.87 %, a change of +228.97%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nThailand,THA,1990,18.807148\nThailand,THA,1991,19.356846\nThailand,THA,1992,20.225147\nThailand,THA,1993,21.344368\nThailand,THA,1994,22.657864\nThailand,THA,1995,24.108986\nThailand,THA,1996,25.641088\nThailand,THA,1997,27.197525\nThailand,THA,1998,28.72165\nThailand,THA,1999,30.156815\nThailand,THA,2000,31.462622\nThailand,THA,2001,32.742805\nThailand,THA,2002,34.073277\nThailand,THA,2003,35.427036\nThailand,THA,2004,36.785515\nThailand,THA,2005,38.13016\nThailand,THA,2006,39.4424\nThailand,THA,2007,40.70369\nThailand,THA,2008,41.89545\nThailand,THA,2009,42.99913\nThailand,THA,2010,44.001873\nThailand,THA,2011,44.80487\nThailand,THA,2012,45.373566\nThailand,THA,2013,45.832134\nThailand,THA,2014,46.31388\nThailand,THA,2015,46.952103\nThailand,THA,2016,47.880108\nThailand,THA,2017,49.231197\nThailand,THA,2018,54.584373\nThailand,THA,2019,55.926617\nThailand,THA,2020,57.235878\nThailand,THA,2021,58.508778\nThailand,THA,2022,59.742374\nThailand,THA,2023,60.934193\nThailand,THA,2024,61.868935\n```\n\nThis chart makes the change in urban for Thailand look dramatic. Is it?","response":"The values change by +228.97%, from 18.81 % to 61.87 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nThailand,THA,1990,18.807148\nThailand,THA,1991,19.356846\nThailand,THA,1992,20.225147\nThailand,THA,1993,21.344368\nThailand,THA,1994,22.657864\nThailand,THA,1995,24.108986\nThailand,THA,1996,25.641088\nThailand,THA,1997,27.197525\nThailand,THA,1998,28.72165\nThailand,THA,1999,30.156815\nThailand,THA,2000,31.462622\nThailand,THA,2001,32.742805\nThailand,THA,2002,34.073277\nThailand,THA,2003,35.427036\nThailand,THA,2004,36.785515\nThailand,THA,2005,38.13016\nThailand,THA,2006,39.4424\nThailand,THA,2007,40.70369\nThailand,THA,2008,41.89545\nThailand,THA,2009,42.99913\nThailand,THA,2010,44.001873\nThailand,THA,2011,44.80487\nThailand,THA,2012,45.373566\nThailand,THA,2013,45.832134\nThailand,THA,2014,46.31388\nThailand,THA,2015,46.952103\nThailand,THA,2016,47.880108\nThailand,THA,2017,49.231197\nThailand,THA,2018,54.584373\nThailand,THA,2019,55.926617\nThailand,THA,2020,57.235878\nThailand,THA,2021,58.508778\nThailand,THA,2022,59.742374\nThailand,THA,2023,60.934193\nThailand,THA,2024,61.868935\n```\n\nWhat was urban for Thailand in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 18.81 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Thailand__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nDenmark,DNK,1990,84.835884\nDenmark,DNK,1991,84.853714\nDenmark,DNK,1992,84.88295\nDenmark,DNK,1993,84.9196\nDenmark,DNK,1994,84.96019\nDenmark,DNK,1995,85.00122\nDenmark,DNK,1996,85.0392\nDenmark,DNK,1997,85.070656\nDenmark,DNK,1998,85.09208\nDenmark,DNK,1999,85.1\nDenmark,DNK,2000,85.1\nDenmark,DNK,2001,85.18831\nDenmark,DNK,2002,85.3\nDenmark,DNK,2003,85.42\nDenmark,DNK,2004,85.71303\nDenmark,DNK,2005,86.005974\nDenmark,DNK,2006,86.25013\nDenmark,DNK,2007,86.42515\nDenmark,DNK,2008,86.58314\nDenmark,DNK,2009,86.761765\nDenmark,DNK,2010,86.86524\nDenmark,DNK,2011,87.15677\nDenmark,DNK,2012,87.23362\nDenmark,DNK,2013,87.543655\nDenmark,DNK,2014,87.682396\nDenmark,DNK,2015,87.7254\nDenmark,DNK,2016,87.7\nDenmark,DNK,2017,88.0162\nDenmark,DNK,2018,88.10598\nDenmark,DNK,2019,88.20965\nDenmark,DNK,2020,88.23945\nDenmark,DNK,2021,88.26164\nDenmark,DNK,2022,88.38802\nDenmark,DNK,2023,88.552635\nDenmark,DNK,2024,88.69605\n```\n\nAccording to this chart, what was urban in Denmark in 2014?","response":"Reading the plotted point for 2014, urban in Denmark was 87.68 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nDenmark,DNK,1990,84.835884\nDenmark,DNK,1991,84.853714\nDenmark,DNK,1992,84.88295\nDenmark,DNK,1993,84.9196\nDenmark,DNK,1994,84.96019\nDenmark,DNK,1995,85.00122\nDenmark,DNK,1996,85.0392\nDenmark,DNK,1997,85.070656\nDenmark,DNK,1998,85.09208\nDenmark,DNK,1999,85.1\nDenmark,DNK,2000,85.1\nDenmark,DNK,2001,85.18831\nDenmark,DNK,2002,85.3\nDenmark,DNK,2003,85.42\nDenmark,DNK,2004,85.71303\nDenmark,DNK,2005,86.005974\nDenmark,DNK,2006,86.25013\nDenmark,DNK,2007,86.42515\nDenmark,DNK,2008,86.58314\nDenmark,DNK,2009,86.761765\nDenmark,DNK,2010,86.86524\nDenmark,DNK,2011,87.15677\nDenmark,DNK,2012,87.23362\nDenmark,DNK,2013,87.543655\nDenmark,DNK,2014,87.682396\nDenmark,DNK,2015,87.7254\nDenmark,DNK,2016,87.7\nDenmark,DNK,2017,88.0162\nDenmark,DNK,2018,88.10598\nDenmark,DNK,2019,88.20965\nDenmark,DNK,2020,88.23945\nDenmark,DNK,2021,88.26164\nDenmark,DNK,2022,88.38802\nDenmark,DNK,2023,88.552635\nDenmark,DNK,2024,88.69605\n```\n\nIn which year shown does urban reach its highest value for Denmark?","response":"The series peaks in 2024, at 88.7 %. The lowest point shown is 1990, at 84.84 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nDenmark,DNK,1990,84.835884\nDenmark,DNK,1991,84.853714\nDenmark,DNK,1992,84.88295\nDenmark,DNK,1993,84.9196\nDenmark,DNK,1994,84.96019\nDenmark,DNK,1995,85.00122\nDenmark,DNK,1996,85.0392\nDenmark,DNK,1997,85.070656\nDenmark,DNK,1998,85.09208\nDenmark,DNK,1999,85.1\nDenmark,DNK,2000,85.1\nDenmark,DNK,2001,85.18831\nDenmark,DNK,2002,85.3\nDenmark,DNK,2003,85.42\nDenmark,DNK,2004,85.71303\nDenmark,DNK,2005,86.005974\nDenmark,DNK,2006,86.25013\nDenmark,DNK,2007,86.42515\nDenmark,DNK,2008,86.58314\nDenmark,DNK,2009,86.761765\nDenmark,DNK,2010,86.86524\nDenmark,DNK,2011,87.15677\nDenmark,DNK,2012,87.23362\nDenmark,DNK,2013,87.543655\nDenmark,DNK,2014,87.682396\nDenmark,DNK,2015,87.7254\nDenmark,DNK,2016,87.7\nDenmark,DNK,2017,88.0162\nDenmark,DNK,2018,88.10598\nDenmark,DNK,2019,88.20965\nDenmark,DNK,2020,88.23945\nDenmark,DNK,2021,88.26164\nDenmark,DNK,2022,88.38802\nDenmark,DNK,2023,88.552635\nDenmark,DNK,2024,88.69605\n```\n\nHow much did urban change for Denmark between 1990 and 2024?","response":"It moved from 84.84 % in 1990 to 88.7 % in 2024, a change of 3.86 % (+4.55%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nDenmark,DNK,1990,84.835884\nDenmark,DNK,1991,84.853714\nDenmark,DNK,1992,84.88295\nDenmark,DNK,1993,84.9196\nDenmark,DNK,1994,84.96019\nDenmark,DNK,1995,85.00122\nDenmark,DNK,1996,85.0392\nDenmark,DNK,1997,85.070656\nDenmark,DNK,1998,85.09208\nDenmark,DNK,1999,85.1\nDenmark,DNK,2000,85.1\nDenmark,DNK,2001,85.18831\nDenmark,DNK,2002,85.3\nDenmark,DNK,2003,85.42\nDenmark,DNK,2004,85.71303\nDenmark,DNK,2005,86.005974\nDenmark,DNK,2006,86.25013\nDenmark,DNK,2007,86.42515\nDenmark,DNK,2008,86.58314\nDenmark,DNK,2009,86.761765\nDenmark,DNK,2010,86.86524\nDenmark,DNK,2011,87.15677\nDenmark,DNK,2012,87.23362\nDenmark,DNK,2013,87.543655\nDenmark,DNK,2014,87.682396\nDenmark,DNK,2015,87.7254\nDenmark,DNK,2016,87.7\nDenmark,DNK,2017,88.0162\nDenmark,DNK,2018,88.10598\nDenmark,DNK,2019,88.20965\nDenmark,DNK,2020,88.23945\nDenmark,DNK,2021,88.26164\nDenmark,DNK,2022,88.38802\nDenmark,DNK,2023,88.552635\nDenmark,DNK,2024,88.69605\n```\n\nWas urban in Denmark higher in 1994 or 2024?","response":"Higher in 2024. The chart gives 84.96 % for 1994 and 88.7 % for 2024, a difference of 3.74 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nDenmark,DNK,1990,84.835884\nDenmark,DNK,1991,84.853714\nDenmark,DNK,1992,84.88295\nDenmark,DNK,1993,84.9196\nDenmark,DNK,1994,84.96019\nDenmark,DNK,1995,85.00122\nDenmark,DNK,1996,85.0392\nDenmark,DNK,1997,85.070656\nDenmark,DNK,1998,85.09208\nDenmark,DNK,1999,85.1\nDenmark,DNK,2000,85.1\nDenmark,DNK,2001,85.18831\nDenmark,DNK,2002,85.3\nDenmark,DNK,2003,85.42\nDenmark,DNK,2004,85.71303\nDenmark,DNK,2005,86.005974\nDenmark,DNK,2006,86.25013\nDenmark,DNK,2007,86.42515\nDenmark,DNK,2008,86.58314\nDenmark,DNK,2009,86.761765\nDenmark,DNK,2010,86.86524\nDenmark,DNK,2011,87.15677\nDenmark,DNK,2012,87.23362\nDenmark,DNK,2013,87.543655\nDenmark,DNK,2014,87.682396\nDenmark,DNK,2015,87.7254\nDenmark,DNK,2016,87.7\nDenmark,DNK,2017,88.0162\nDenmark,DNK,2018,88.10598\nDenmark,DNK,2019,88.20965\nDenmark,DNK,2020,88.23945\nDenmark,DNK,2021,88.26164\nDenmark,DNK,2022,88.38802\nDenmark,DNK,2023,88.552635\nDenmark,DNK,2024,88.69605\n```\n\nAccording to this chart, what was urban in Denmark in 2014?","response":"Reading the plotted point for 2014, urban in Denmark was 87.68 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nDenmark,DNK,1990,84.835884\nDenmark,DNK,1991,84.853714\nDenmark,DNK,1992,84.88295\nDenmark,DNK,1993,84.9196\nDenmark,DNK,1994,84.96019\nDenmark,DNK,1995,85.00122\nDenmark,DNK,1996,85.0392\nDenmark,DNK,1997,85.070656\nDenmark,DNK,1998,85.09208\nDenmark,DNK,1999,85.1\nDenmark,DNK,2000,85.1\nDenmark,DNK,2001,85.18831\nDenmark,DNK,2002,85.3\nDenmark,DNK,2003,85.42\nDenmark,DNK,2004,85.71303\nDenmark,DNK,2005,86.005974\nDenmark,DNK,2006,86.25013\nDenmark,DNK,2007,86.42515\nDenmark,DNK,2008,86.58314\nDenmark,DNK,2009,86.761765\nDenmark,DNK,2010,86.86524\nDenmark,DNK,2011,87.15677\nDenmark,DNK,2012,87.23362\nDenmark,DNK,2013,87.543655\nDenmark,DNK,2014,87.682396\nDenmark,DNK,2015,87.7254\nDenmark,DNK,2016,87.7\nDenmark,DNK,2017,88.0162\nDenmark,DNK,2018,88.10598\nDenmark,DNK,2019,88.20965\nDenmark,DNK,2020,88.23945\nDenmark,DNK,2021,88.26164\nDenmark,DNK,2022,88.38802\nDenmark,DNK,2023,88.552635\nDenmark,DNK,2024,88.69605\n```\n\nIn which year shown does urban reach its highest value for Denmark?","response":"The series peaks in 2024, at 88.7 %. The lowest point shown is 1990, at 84.84 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nDenmark,DNK,1990,84.835884\nDenmark,DNK,1991,84.853714\nDenmark,DNK,1992,84.88295\nDenmark,DNK,1993,84.9196\nDenmark,DNK,1994,84.96019\nDenmark,DNK,1995,85.00122\nDenmark,DNK,1996,85.0392\nDenmark,DNK,1997,85.070656\nDenmark,DNK,1998,85.09208\nDenmark,DNK,1999,85.1\nDenmark,DNK,2000,85.1\nDenmark,DNK,2001,85.18831\nDenmark,DNK,2002,85.3\nDenmark,DNK,2003,85.42\nDenmark,DNK,2004,85.71303\nDenmark,DNK,2005,86.005974\nDenmark,DNK,2006,86.25013\nDenmark,DNK,2007,86.42515\nDenmark,DNK,2008,86.58314\nDenmark,DNK,2009,86.761765\nDenmark,DNK,2010,86.86524\nDenmark,DNK,2011,87.15677\nDenmark,DNK,2012,87.23362\nDenmark,DNK,2013,87.543655\nDenmark,DNK,2014,87.682396\nDenmark,DNK,2015,87.7254\nDenmark,DNK,2016,87.7\nDenmark,DNK,2017,88.0162\nDenmark,DNK,2018,88.10598\nDenmark,DNK,2019,88.20965\nDenmark,DNK,2020,88.23945\nDenmark,DNK,2021,88.26164\nDenmark,DNK,2022,88.38802\nDenmark,DNK,2023,88.552635\nDenmark,DNK,2024,88.69605\n```\n\nHow much did urban change for Denmark between 1990 and 2024?","response":"It moved from 84.84 % in 1990 to 88.7 % in 2024, a change of 3.86 % (+4.55%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nDenmark,DNK,1990,84.835884\nDenmark,DNK,1991,84.853714\nDenmark,DNK,1992,84.88295\nDenmark,DNK,1993,84.9196\nDenmark,DNK,1994,84.96019\nDenmark,DNK,1995,85.00122\nDenmark,DNK,1996,85.0392\nDenmark,DNK,1997,85.070656\nDenmark,DNK,1998,85.09208\nDenmark,DNK,1999,85.1\nDenmark,DNK,2000,85.1\nDenmark,DNK,2001,85.18831\nDenmark,DNK,2002,85.3\nDenmark,DNK,2003,85.42\nDenmark,DNK,2004,85.71303\nDenmark,DNK,2005,86.005974\nDenmark,DNK,2006,86.25013\nDenmark,DNK,2007,86.42515\nDenmark,DNK,2008,86.58314\nDenmark,DNK,2009,86.761765\nDenmark,DNK,2010,86.86524\nDenmark,DNK,2011,87.15677\nDenmark,DNK,2012,87.23362\nDenmark,DNK,2013,87.543655\nDenmark,DNK,2014,87.682396\nDenmark,DNK,2015,87.7254\nDenmark,DNK,2016,87.7\nDenmark,DNK,2017,88.0162\nDenmark,DNK,2018,88.10598\nDenmark,DNK,2019,88.20965\nDenmark,DNK,2020,88.23945\nDenmark,DNK,2021,88.26164\nDenmark,DNK,2022,88.38802\nDenmark,DNK,2023,88.552635\nDenmark,DNK,2024,88.69605\n```\n\nWas urban in Denmark higher in 1994 or 2024?","response":"Higher in 2024. The chart gives 84.96 % for 1994 and 88.7 % for 2024, a difference of 3.74 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nDenmark,DNK,1990,84.835884\nDenmark,DNK,1991,84.853714\nDenmark,DNK,1992,84.88295\nDenmark,DNK,1993,84.9196\nDenmark,DNK,1994,84.96019\nDenmark,DNK,1995,85.00122\nDenmark,DNK,1996,85.0392\nDenmark,DNK,1997,85.070656\nDenmark,DNK,1998,85.09208\nDenmark,DNK,1999,85.1\nDenmark,DNK,2000,85.1\nDenmark,DNK,2001,85.18831\nDenmark,DNK,2002,85.3\nDenmark,DNK,2003,85.42\nDenmark,DNK,2004,85.71303\nDenmark,DNK,2005,86.005974\nDenmark,DNK,2006,86.25013\nDenmark,DNK,2007,86.42515\nDenmark,DNK,2008,86.58314\nDenmark,DNK,2009,86.761765\nDenmark,DNK,2010,86.86524\nDenmark,DNK,2011,87.15677\nDenmark,DNK,2012,87.23362\nDenmark,DNK,2013,87.543655\nDenmark,DNK,2014,87.682396\nDenmark,DNK,2015,87.7254\nDenmark,DNK,2016,87.7\nDenmark,DNK,2017,88.0162\nDenmark,DNK,2018,88.10598\nDenmark,DNK,2019,88.20965\nDenmark,DNK,2020,88.23945\nDenmark,DNK,2021,88.26164\nDenmark,DNK,2022,88.38802\nDenmark,DNK,2023,88.552635\nDenmark,DNK,2024,88.69605\n```\n\nThis chart makes the change in urban for Denmark look dramatic. Is it?","response":"The values change by +4.55%, from 84.84 % to 88.7 %. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nDenmark,DNK,1990,84.835884\nDenmark,DNK,1991,84.853714\nDenmark,DNK,1992,84.88295\nDenmark,DNK,1993,84.9196\nDenmark,DNK,1994,84.96019\nDenmark,DNK,1995,85.00122\nDenmark,DNK,1996,85.0392\nDenmark,DNK,1997,85.070656\nDenmark,DNK,1998,85.09208\nDenmark,DNK,1999,85.1\nDenmark,DNK,2000,85.1\nDenmark,DNK,2001,85.18831\nDenmark,DNK,2002,85.3\nDenmark,DNK,2003,85.42\nDenmark,DNK,2004,85.71303\nDenmark,DNK,2005,86.005974\nDenmark,DNK,2006,86.25013\nDenmark,DNK,2007,86.42515\nDenmark,DNK,2008,86.58314\nDenmark,DNK,2009,86.761765\nDenmark,DNK,2010,86.86524\nDenmark,DNK,2011,87.15677\nDenmark,DNK,2012,87.23362\nDenmark,DNK,2013,87.543655\nDenmark,DNK,2014,87.682396\nDenmark,DNK,2015,87.7254\nDenmark,DNK,2016,87.7\nDenmark,DNK,2017,88.0162\nDenmark,DNK,2018,88.10598\nDenmark,DNK,2019,88.20965\nDenmark,DNK,2020,88.23945\nDenmark,DNK,2021,88.26164\nDenmark,DNK,2022,88.38802\nDenmark,DNK,2023,88.552635\nDenmark,DNK,2024,88.69605\n```\n\nThis chart appears to show urban in Denmark rising steeply. How large is the increase actually?","response":"The plotted values run from 84.84 % to 88.7 %, so the actual change is +4.55%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 70.8007 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nDenmark,DNK,1990,84.835884\nDenmark,DNK,1991,84.853714\nDenmark,DNK,1992,84.88295\nDenmark,DNK,1993,84.9196\nDenmark,DNK,1994,84.96019\nDenmark,DNK,1995,85.00122\nDenmark,DNK,1996,85.0392\nDenmark,DNK,1997,85.070656\nDenmark,DNK,1998,85.09208\nDenmark,DNK,1999,85.1\nDenmark,DNK,2000,85.1\nDenmark,DNK,2001,85.18831\nDenmark,DNK,2002,85.3\nDenmark,DNK,2003,85.42\nDenmark,DNK,2004,85.71303\nDenmark,DNK,2005,86.005974\nDenmark,DNK,2006,86.25013\nDenmark,DNK,2007,86.42515\nDenmark,DNK,2008,86.58314\nDenmark,DNK,2009,86.761765\nDenmark,DNK,2010,86.86524\nDenmark,DNK,2011,87.15677\nDenmark,DNK,2012,87.23362\nDenmark,DNK,2013,87.543655\nDenmark,DNK,2014,87.682396\nDenmark,DNK,2015,87.7254\nDenmark,DNK,2016,87.7\nDenmark,DNK,2017,88.0162\nDenmark,DNK,2018,88.10598\nDenmark,DNK,2019,88.20965\nDenmark,DNK,2020,88.23945\nDenmark,DNK,2021,88.26164\nDenmark,DNK,2022,88.38802\nDenmark,DNK,2023,88.552635\nDenmark,DNK,2024,88.69605\n```\n\nWhat was urban for Denmark in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 84.84 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__Denmark__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nFrance,FRA,1990,74.0676\nFrance,FRA,1991,74.21979\nFrance,FRA,1992,74.40511\nFrance,FRA,1993,74.616875\nFrance,FRA,1994,74.84993\nFrance,FRA,1995,75.099106\nFrance,FRA,1996,75.35926\nFrance,FRA,1997,75.62523\nFrance,FRA,1998,75.89185\nFrance,FRA,1999,76.168274\nFrance,FRA,2000,76.5144\nFrance,FRA,2001,76.90744\nFrance,FRA,2002,77.25439\nFrance,FRA,2003,77.469124\nFrance,FRA,2004,77.49005\nFrance,FRA,2005,77.43633\nFrance,FRA,2006,77.346725\nFrance,FRA,2007,77.2458\nFrance,FRA,2008,77.15619\nFrance,FRA,2009,77.10054\nFrance,FRA,2010,77.09628\nFrance,FRA,2011,77.11827\nFrance,FRA,2012,77.16695\nFrance,FRA,2013,77.24407\nFrance,FRA,2014,77.35243\nFrance,FRA,2015,77.76109\nFrance,FRA,2016,78.599915\nFrance,FRA,2017,78.64678\nFrance,FRA,2018,78.67144\nFrance,FRA,2019,78.68908\nFrance,FRA,2020,78.711914\nFrance,FRA,2021,78.73646\nFrance,FRA,2022,78.75919\nFrance,FRA,2023,78.78043\nFrance,FRA,2024,78.79997\n```\n\nAccording to this chart, what was urban in France in 2001?","response":"Reading the plotted point for 2001, urban in France was 76.91 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nFrance,FRA,1990,74.0676\nFrance,FRA,1991,74.21979\nFrance,FRA,1992,74.40511\nFrance,FRA,1993,74.616875\nFrance,FRA,1994,74.84993\nFrance,FRA,1995,75.099106\nFrance,FRA,1996,75.35926\nFrance,FRA,1997,75.62523\nFrance,FRA,1998,75.89185\nFrance,FRA,1999,76.168274\nFrance,FRA,2000,76.5144\nFrance,FRA,2001,76.90744\nFrance,FRA,2002,77.25439\nFrance,FRA,2003,77.469124\nFrance,FRA,2004,77.49005\nFrance,FRA,2005,77.43633\nFrance,FRA,2006,77.346725\nFrance,FRA,2007,77.2458\nFrance,FRA,2008,77.15619\nFrance,FRA,2009,77.10054\nFrance,FRA,2010,77.09628\nFrance,FRA,2011,77.11827\nFrance,FRA,2012,77.16695\nFrance,FRA,2013,77.24407\nFrance,FRA,2014,77.35243\nFrance,FRA,2015,77.76109\nFrance,FRA,2016,78.599915\nFrance,FRA,2017,78.64678\nFrance,FRA,2018,78.67144\nFrance,FRA,2019,78.68908\nFrance,FRA,2020,78.711914\nFrance,FRA,2021,78.73646\nFrance,FRA,2022,78.75919\nFrance,FRA,2023,78.78043\nFrance,FRA,2024,78.79997\n```\n\nIn which year shown does urban reach its highest value for France?","response":"The series peaks in 2024, at 78.8 %. The lowest point shown is 1990, at 74.07 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nFrance,FRA,1990,74.0676\nFrance,FRA,1991,74.21979\nFrance,FRA,1992,74.40511\nFrance,FRA,1993,74.616875\nFrance,FRA,1994,74.84993\nFrance,FRA,1995,75.099106\nFrance,FRA,1996,75.35926\nFrance,FRA,1997,75.62523\nFrance,FRA,1998,75.89185\nFrance,FRA,1999,76.168274\nFrance,FRA,2000,76.5144\nFrance,FRA,2001,76.90744\nFrance,FRA,2002,77.25439\nFrance,FRA,2003,77.469124\nFrance,FRA,2004,77.49005\nFrance,FRA,2005,77.43633\nFrance,FRA,2006,77.346725\nFrance,FRA,2007,77.2458\nFrance,FRA,2008,77.15619\nFrance,FRA,2009,77.10054\nFrance,FRA,2010,77.09628\nFrance,FRA,2011,77.11827\nFrance,FRA,2012,77.16695\nFrance,FRA,2013,77.24407\nFrance,FRA,2014,77.35243\nFrance,FRA,2015,77.76109\nFrance,FRA,2016,78.599915\nFrance,FRA,2017,78.64678\nFrance,FRA,2018,78.67144\nFrance,FRA,2019,78.68908\nFrance,FRA,2020,78.711914\nFrance,FRA,2021,78.73646\nFrance,FRA,2022,78.75919\nFrance,FRA,2023,78.78043\nFrance,FRA,2024,78.79997\n```\n\nHow much did urban change for France between 1990 and 2024?","response":"It moved from 74.07 % in 1990 to 78.8 % in 2024, a change of 4.73 % (+6.39%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nFrance,FRA,1990,74.0676\nFrance,FRA,1991,74.21979\nFrance,FRA,1992,74.40511\nFrance,FRA,1993,74.616875\nFrance,FRA,1994,74.84993\nFrance,FRA,1995,75.099106\nFrance,FRA,1996,75.35926\nFrance,FRA,1997,75.62523\nFrance,FRA,1998,75.89185\nFrance,FRA,1999,76.168274\nFrance,FRA,2000,76.5144\nFrance,FRA,2001,76.90744\nFrance,FRA,2002,77.25439\nFrance,FRA,2003,77.469124\nFrance,FRA,2004,77.49005\nFrance,FRA,2005,77.43633\nFrance,FRA,2006,77.346725\nFrance,FRA,2007,77.2458\nFrance,FRA,2008,77.15619\nFrance,FRA,2009,77.10054\nFrance,FRA,2010,77.09628\nFrance,FRA,2011,77.11827\nFrance,FRA,2012,77.16695\nFrance,FRA,2013,77.24407\nFrance,FRA,2014,77.35243\nFrance,FRA,2015,77.76109\nFrance,FRA,2016,78.599915\nFrance,FRA,2017,78.64678\nFrance,FRA,2018,78.67144\nFrance,FRA,2019,78.68908\nFrance,FRA,2020,78.711914\nFrance,FRA,2021,78.73646\nFrance,FRA,2022,78.75919\nFrance,FRA,2023,78.78043\nFrance,FRA,2024,78.79997\n```\n\nWas urban in France higher in 2004 or 2015?","response":"Higher in 2015. The chart gives 77.49 % for 2004 and 77.76 % for 2015, a difference of 0.27 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nFrance,FRA,1990,74.0676\nFrance,FRA,1991,74.21979\nFrance,FRA,1992,74.40511\nFrance,FRA,1993,74.616875\nFrance,FRA,1994,74.84993\nFrance,FRA,1995,75.099106\nFrance,FRA,1996,75.35926\nFrance,FRA,1997,75.62523\nFrance,FRA,1998,75.89185\nFrance,FRA,1999,76.168274\nFrance,FRA,2000,76.5144\nFrance,FRA,2001,76.90744\nFrance,FRA,2002,77.25439\nFrance,FRA,2003,77.469124\nFrance,FRA,2004,77.49005\nFrance,FRA,2005,77.43633\nFrance,FRA,2006,77.346725\nFrance,FRA,2007,77.2458\nFrance,FRA,2008,77.15619\nFrance,FRA,2009,77.10054\nFrance,FRA,2010,77.09628\nFrance,FRA,2011,77.11827\nFrance,FRA,2012,77.16695\nFrance,FRA,2013,77.24407\nFrance,FRA,2014,77.35243\nFrance,FRA,2015,77.76109\nFrance,FRA,2016,78.599915\nFrance,FRA,2017,78.64678\nFrance,FRA,2018,78.67144\nFrance,FRA,2019,78.68908\nFrance,FRA,2020,78.711914\nFrance,FRA,2021,78.73646\nFrance,FRA,2022,78.75919\nFrance,FRA,2023,78.78043\nFrance,FRA,2024,78.79997\n```\n\nAccording to this chart, what was urban in France in 2001?","response":"Reading the plotted point for 2001, urban in France was 76.91 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nFrance,FRA,1990,74.0676\nFrance,FRA,1991,74.21979\nFrance,FRA,1992,74.40511\nFrance,FRA,1993,74.616875\nFrance,FRA,1994,74.84993\nFrance,FRA,1995,75.099106\nFrance,FRA,1996,75.35926\nFrance,FRA,1997,75.62523\nFrance,FRA,1998,75.89185\nFrance,FRA,1999,76.168274\nFrance,FRA,2000,76.5144\nFrance,FRA,2001,76.90744\nFrance,FRA,2002,77.25439\nFrance,FRA,2003,77.469124\nFrance,FRA,2004,77.49005\nFrance,FRA,2005,77.43633\nFrance,FRA,2006,77.346725\nFrance,FRA,2007,77.2458\nFrance,FRA,2008,77.15619\nFrance,FRA,2009,77.10054\nFrance,FRA,2010,77.09628\nFrance,FRA,2011,77.11827\nFrance,FRA,2012,77.16695\nFrance,FRA,2013,77.24407\nFrance,FRA,2014,77.35243\nFrance,FRA,2015,77.76109\nFrance,FRA,2016,78.599915\nFrance,FRA,2017,78.64678\nFrance,FRA,2018,78.67144\nFrance,FRA,2019,78.68908\nFrance,FRA,2020,78.711914\nFrance,FRA,2021,78.73646\nFrance,FRA,2022,78.75919\nFrance,FRA,2023,78.78043\nFrance,FRA,2024,78.79997\n```\n\nIn which year shown does urban reach its highest value for France?","response":"The series peaks in 2024, at 78.8 %. The lowest point shown is 1990, at 74.07 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nFrance,FRA,1990,74.0676\nFrance,FRA,1991,74.21979\nFrance,FRA,1992,74.40511\nFrance,FRA,1993,74.616875\nFrance,FRA,1994,74.84993\nFrance,FRA,1995,75.099106\nFrance,FRA,1996,75.35926\nFrance,FRA,1997,75.62523\nFrance,FRA,1998,75.89185\nFrance,FRA,1999,76.168274\nFrance,FRA,2000,76.5144\nFrance,FRA,2001,76.90744\nFrance,FRA,2002,77.25439\nFrance,FRA,2003,77.469124\nFrance,FRA,2004,77.49005\nFrance,FRA,2005,77.43633\nFrance,FRA,2006,77.346725\nFrance,FRA,2007,77.2458\nFrance,FRA,2008,77.15619\nFrance,FRA,2009,77.10054\nFrance,FRA,2010,77.09628\nFrance,FRA,2011,77.11827\nFrance,FRA,2012,77.16695\nFrance,FRA,2013,77.24407\nFrance,FRA,2014,77.35243\nFrance,FRA,2015,77.76109\nFrance,FRA,2016,78.599915\nFrance,FRA,2017,78.64678\nFrance,FRA,2018,78.67144\nFrance,FRA,2019,78.68908\nFrance,FRA,2020,78.711914\nFrance,FRA,2021,78.73646\nFrance,FRA,2022,78.75919\nFrance,FRA,2023,78.78043\nFrance,FRA,2024,78.79997\n```\n\nHow much did urban change for France between 1990 and 2024?","response":"It moved from 74.07 % in 1990 to 78.8 % in 2024, a change of 4.73 % (+6.39%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nFrance,FRA,1990,74.0676\nFrance,FRA,1991,74.21979\nFrance,FRA,1992,74.40511\nFrance,FRA,1993,74.616875\nFrance,FRA,1994,74.84993\nFrance,FRA,1995,75.099106\nFrance,FRA,1996,75.35926\nFrance,FRA,1997,75.62523\nFrance,FRA,1998,75.89185\nFrance,FRA,1999,76.168274\nFrance,FRA,2000,76.5144\nFrance,FRA,2001,76.90744\nFrance,FRA,2002,77.25439\nFrance,FRA,2003,77.469124\nFrance,FRA,2004,77.49005\nFrance,FRA,2005,77.43633\nFrance,FRA,2006,77.346725\nFrance,FRA,2007,77.2458\nFrance,FRA,2008,77.15619\nFrance,FRA,2009,77.10054\nFrance,FRA,2010,77.09628\nFrance,FRA,2011,77.11827\nFrance,FRA,2012,77.16695\nFrance,FRA,2013,77.24407\nFrance,FRA,2014,77.35243\nFrance,FRA,2015,77.76109\nFrance,FRA,2016,78.599915\nFrance,FRA,2017,78.64678\nFrance,FRA,2018,78.67144\nFrance,FRA,2019,78.68908\nFrance,FRA,2020,78.711914\nFrance,FRA,2021,78.73646\nFrance,FRA,2022,78.75919\nFrance,FRA,2023,78.78043\nFrance,FRA,2024,78.79997\n```\n\nWas urban in France higher in 2004 or 2015?","response":"Higher in 2015. The chart gives 77.49 % for 2004 and 77.76 % for 2015, a difference of 0.27 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nFrance,FRA,1990,74.0676\nFrance,FRA,1991,74.21979\nFrance,FRA,1992,74.40511\nFrance,FRA,1993,74.616875\nFrance,FRA,1994,74.84993\nFrance,FRA,1995,75.099106\nFrance,FRA,1996,75.35926\nFrance,FRA,1997,75.62523\nFrance,FRA,1998,75.89185\nFrance,FRA,1999,76.168274\nFrance,FRA,2000,76.5144\nFrance,FRA,2001,76.90744\nFrance,FRA,2002,77.25439\nFrance,FRA,2003,77.469124\nFrance,FRA,2004,77.49005\nFrance,FRA,2005,77.43633\nFrance,FRA,2006,77.346725\nFrance,FRA,2007,77.2458\nFrance,FRA,2008,77.15619\nFrance,FRA,2009,77.10054\nFrance,FRA,2010,77.09628\nFrance,FRA,2011,77.11827\nFrance,FRA,2012,77.16695\nFrance,FRA,2013,77.24407\nFrance,FRA,2014,77.35243\nFrance,FRA,2015,77.76109\nFrance,FRA,2016,78.599915\nFrance,FRA,2017,78.64678\nFrance,FRA,2018,78.67144\nFrance,FRA,2019,78.68908\nFrance,FRA,2020,78.711914\nFrance,FRA,2021,78.73646\nFrance,FRA,2022,78.75919\nFrance,FRA,2023,78.78043\nFrance,FRA,2024,78.79997\n```\n\nThis chart appears to show urban in France rising steeply. How large is the increase actually?","response":"The plotted values run from 74.07 % to 78.8 %, so the actual change is +6.39%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 62.2498 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nFrance,FRA,1990,74.0676\nFrance,FRA,1991,74.21979\nFrance,FRA,1992,74.40511\nFrance,FRA,1993,74.616875\nFrance,FRA,1994,74.84993\nFrance,FRA,1995,75.099106\nFrance,FRA,1996,75.35926\nFrance,FRA,1997,75.62523\nFrance,FRA,1998,75.89185\nFrance,FRA,1999,76.168274\nFrance,FRA,2000,76.5144\nFrance,FRA,2001,76.90744\nFrance,FRA,2002,77.25439\nFrance,FRA,2003,77.469124\nFrance,FRA,2004,77.49005\nFrance,FRA,2005,77.43633\nFrance,FRA,2006,77.346725\nFrance,FRA,2007,77.2458\nFrance,FRA,2008,77.15619\nFrance,FRA,2009,77.10054\nFrance,FRA,2010,77.09628\nFrance,FRA,2011,77.11827\nFrance,FRA,2012,77.16695\nFrance,FRA,2013,77.24407\nFrance,FRA,2014,77.35243\nFrance,FRA,2015,77.76109\nFrance,FRA,2016,78.599915\nFrance,FRA,2017,78.64678\nFrance,FRA,2018,78.67144\nFrance,FRA,2019,78.68908\nFrance,FRA,2020,78.711914\nFrance,FRA,2021,78.73646\nFrance,FRA,2022,78.75919\nFrance,FRA,2023,78.78043\nFrance,FRA,2024,78.79997\n```\n\nBased on this chart, is urban in France rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 74.07 % to 78.8 %, a change of +6.39%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nFrance,FRA,2003,77.469124\nFrance,FRA,2004,77.49005\nFrance,FRA,2005,77.43633\nFrance,FRA,2006,77.346725\nFrance,FRA,2007,77.2458\nFrance,FRA,2008,77.15619\nFrance,FRA,2009,77.10054\nFrance,FRA,2010,77.09628\nFrance,FRA,2011,77.11827\n```\n\nWhat does this chart suggest about the long-run direction of urban in France?","response":"Within the window shown (2003-2011) the series moves -0.45%, but that window runs against the longer record. Across the full series (1990-2024) the change is +6.39%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Urban\nFrance,FRA,1990,74.0676\nFrance,FRA,1991,74.21979\nFrance,FRA,1992,74.40511\nFrance,FRA,1993,74.616875\nFrance,FRA,1994,74.84993\nFrance,FRA,1995,75.099106\nFrance,FRA,1996,75.35926\nFrance,FRA,1997,75.62523\nFrance,FRA,1998,75.89185\nFrance,FRA,1999,76.168274\nFrance,FRA,2000,76.5144\nFrance,FRA,2001,76.90744\nFrance,FRA,2002,77.25439\nFrance,FRA,2003,77.469124\nFrance,FRA,2004,77.49005\nFrance,FRA,2005,77.43633\nFrance,FRA,2006,77.346725\nFrance,FRA,2007,77.2458\nFrance,FRA,2008,77.15619\nFrance,FRA,2009,77.10054\nFrance,FRA,2010,77.09628\nFrance,FRA,2011,77.11827\nFrance,FRA,2012,77.16695\nFrance,FRA,2013,77.24407\nFrance,FRA,2014,77.35243\nFrance,FRA,2015,77.76109\nFrance,FRA,2016,78.599915\nFrance,FRA,2017,78.64678\nFrance,FRA,2018,78.67144\nFrance,FRA,2019,78.68908\nFrance,FRA,2020,78.711914\nFrance,FRA,2021,78.73646\nFrance,FRA,2022,78.75919\nFrance,FRA,2023,78.78043\nFrance,FRA,2024,78.79997\n```\n\nWhat was urban for France in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 74.07 %.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/share-of-population-urban__France__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Share of population living in urban areas","source_citation":"United Nations Department of Economic and Social Affairs, Population Division (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/share-of-population-urban?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nFrance,FRA,1990,2649.8232\nFrance,FRA,1991,2834.176\nFrance,FRA,1992,2857.941\nFrance,FRA,1993,2853.8882\nFrance,FRA,1994,2824.7595\nFrance,FRA,1995,2904.198\nFrance,FRA,1996,3012.3484\nFrance,FRA,1997,2965.6794\nFrance,FRA,1998,3037.222\nFrance,FRA,1999,3078.016\nFrance,FRA,2000,3117.9092\nFrance,FRA,2001,3143.0464\nFrance,FRA,2002,3118.9194\nFrance,FRA,2003,3153.0417\nFrance,FRA,2004,3180.13\nFrance,FRA,2005,3154.079\nFrance,FRA,2006,3128.9307\nFrance,FRA,2007,3075.7896\nFrance,FRA,2008,3084.8447\nFrance,FRA,2009,2908.9104\nFrance,FRA,2010,3001.2307\nFrance,FRA,2011,2897.7097\nFrance,FRA,2012,2894.8584\nFrance,FRA,2013,2925.0532\nFrance,FRA,2014,2797.7822\nFrance,FRA,2015,2823.4268\nFrance,FRA,2016,2766.5972\nFrance,FRA,2017,2756.229\nFrance,FRA,2018,2790.4287\nFrance,FRA,2019,2731.3474\nFrance,FRA,2020,2444.2654\nFrance,FRA,2021,2597.5605\nFrance,FRA,2022,2306.192\nFrance,FRA,2023,2406.5137\nFrance,FRA,2024,2519.9006\n```\n\nAccording to this chart, what was primary energy consumption in France in 2003?","response":"Reading the plotted point for 2003, primary energy consumption in France was 3,153.04 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nFrance,FRA,1990,2649.8232\nFrance,FRA,1991,2834.176\nFrance,FRA,1992,2857.941\nFrance,FRA,1993,2853.8882\nFrance,FRA,1994,2824.7595\nFrance,FRA,1995,2904.198\nFrance,FRA,1996,3012.3484\nFrance,FRA,1997,2965.6794\nFrance,FRA,1998,3037.222\nFrance,FRA,1999,3078.016\nFrance,FRA,2000,3117.9092\nFrance,FRA,2001,3143.0464\nFrance,FRA,2002,3118.9194\nFrance,FRA,2003,3153.0417\nFrance,FRA,2004,3180.13\nFrance,FRA,2005,3154.079\nFrance,FRA,2006,3128.9307\nFrance,FRA,2007,3075.7896\nFrance,FRA,2008,3084.8447\nFrance,FRA,2009,2908.9104\nFrance,FRA,2010,3001.2307\nFrance,FRA,2011,2897.7097\nFrance,FRA,2012,2894.8584\nFrance,FRA,2013,2925.0532\nFrance,FRA,2014,2797.7822\nFrance,FRA,2015,2823.4268\nFrance,FRA,2016,2766.5972\nFrance,FRA,2017,2756.229\nFrance,FRA,2018,2790.4287\nFrance,FRA,2019,2731.3474\nFrance,FRA,2020,2444.2654\nFrance,FRA,2021,2597.5605\nFrance,FRA,2022,2306.192\nFrance,FRA,2023,2406.5137\nFrance,FRA,2024,2519.9006\n```\n\nIn which year shown does primary energy consumption reach its highest value for France?","response":"The series peaks in 2004, at 3,180.13 TWh. The lowest point shown is 2022, at 2,306.19 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nFrance,FRA,1990,2649.8232\nFrance,FRA,1991,2834.176\nFrance,FRA,1992,2857.941\nFrance,FRA,1993,2853.8882\nFrance,FRA,1994,2824.7595\nFrance,FRA,1995,2904.198\nFrance,FRA,1996,3012.3484\nFrance,FRA,1997,2965.6794\nFrance,FRA,1998,3037.222\nFrance,FRA,1999,3078.016\nFrance,FRA,2000,3117.9092\nFrance,FRA,2001,3143.0464\nFrance,FRA,2002,3118.9194\nFrance,FRA,2003,3153.0417\nFrance,FRA,2004,3180.13\nFrance,FRA,2005,3154.079\nFrance,FRA,2006,3128.9307\nFrance,FRA,2007,3075.7896\nFrance,FRA,2008,3084.8447\nFrance,FRA,2009,2908.9104\nFrance,FRA,2010,3001.2307\nFrance,FRA,2011,2897.7097\nFrance,FRA,2012,2894.8584\nFrance,FRA,2013,2925.0532\nFrance,FRA,2014,2797.7822\nFrance,FRA,2015,2823.4268\nFrance,FRA,2016,2766.5972\nFrance,FRA,2017,2756.229\nFrance,FRA,2018,2790.4287\nFrance,FRA,2019,2731.3474\nFrance,FRA,2020,2444.2654\nFrance,FRA,2021,2597.5605\nFrance,FRA,2022,2306.192\nFrance,FRA,2023,2406.5137\nFrance,FRA,2024,2519.9006\n```\n\nHow much did primary energy consumption change for France between 1990 and 2024?","response":"It moved from 2,649.82 TWh in 1990 to 2,519.9 TWh in 2024, a change of -129.92 TWh (-4.90%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nFrance,FRA,1990,2649.8232\nFrance,FRA,1991,2834.176\nFrance,FRA,1992,2857.941\nFrance,FRA,1993,2853.8882\nFrance,FRA,1994,2824.7595\nFrance,FRA,1995,2904.198\nFrance,FRA,1996,3012.3484\nFrance,FRA,1997,2965.6794\nFrance,FRA,1998,3037.222\nFrance,FRA,1999,3078.016\nFrance,FRA,2000,3117.9092\nFrance,FRA,2001,3143.0464\nFrance,FRA,2002,3118.9194\nFrance,FRA,2003,3153.0417\nFrance,FRA,2004,3180.13\nFrance,FRA,2005,3154.079\nFrance,FRA,2006,3128.9307\nFrance,FRA,2007,3075.7896\nFrance,FRA,2008,3084.8447\nFrance,FRA,2009,2908.9104\nFrance,FRA,2010,3001.2307\nFrance,FRA,2011,2897.7097\nFrance,FRA,2012,2894.8584\nFrance,FRA,2013,2925.0532\nFrance,FRA,2014,2797.7822\nFrance,FRA,2015,2823.4268\nFrance,FRA,2016,2766.5972\nFrance,FRA,2017,2756.229\nFrance,FRA,2018,2790.4287\nFrance,FRA,2019,2731.3474\nFrance,FRA,2020,2444.2654\nFrance,FRA,2021,2597.5605\nFrance,FRA,2022,2306.192\nFrance,FRA,2023,2406.5137\nFrance,FRA,2024,2519.9006\n```\n\nWas primary energy consumption in France higher in 2003 or 2012?","response":"Higher in 2003. The chart gives 3,153.04 TWh for 2003 and 2,894.86 TWh for 2012, a difference of 258.18 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nFrance,FRA,1990,2649.8232\nFrance,FRA,1991,2834.176\nFrance,FRA,1992,2857.941\nFrance,FRA,1993,2853.8882\nFrance,FRA,1994,2824.7595\nFrance,FRA,1995,2904.198\nFrance,FRA,1996,3012.3484\nFrance,FRA,1997,2965.6794\nFrance,FRA,1998,3037.222\nFrance,FRA,1999,3078.016\nFrance,FRA,2000,3117.9092\nFrance,FRA,2001,3143.0464\nFrance,FRA,2002,3118.9194\nFrance,FRA,2003,3153.0417\nFrance,FRA,2004,3180.13\nFrance,FRA,2005,3154.079\nFrance,FRA,2006,3128.9307\nFrance,FRA,2007,3075.7896\nFrance,FRA,2008,3084.8447\nFrance,FRA,2009,2908.9104\nFrance,FRA,2010,3001.2307\nFrance,FRA,2011,2897.7097\nFrance,FRA,2012,2894.8584\nFrance,FRA,2013,2925.0532\nFrance,FRA,2014,2797.7822\nFrance,FRA,2015,2823.4268\nFrance,FRA,2016,2766.5972\nFrance,FRA,2017,2756.229\nFrance,FRA,2018,2790.4287\nFrance,FRA,2019,2731.3474\nFrance,FRA,2020,2444.2654\nFrance,FRA,2021,2597.5605\nFrance,FRA,2022,2306.192\nFrance,FRA,2023,2406.5137\nFrance,FRA,2024,2519.9006\n```\n\nAccording to this chart, what was primary energy consumption in France in 2003?","response":"Reading the plotted point for 2003, primary energy consumption in France was 3,153.04 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nFrance,FRA,1990,2649.8232\nFrance,FRA,1991,2834.176\nFrance,FRA,1992,2857.941\nFrance,FRA,1993,2853.8882\nFrance,FRA,1994,2824.7595\nFrance,FRA,1995,2904.198\nFrance,FRA,1996,3012.3484\nFrance,FRA,1997,2965.6794\nFrance,FRA,1998,3037.222\nFrance,FRA,1999,3078.016\nFrance,FRA,2000,3117.9092\nFrance,FRA,2001,3143.0464\nFrance,FRA,2002,3118.9194\nFrance,FRA,2003,3153.0417\nFrance,FRA,2004,3180.13\nFrance,FRA,2005,3154.079\nFrance,FRA,2006,3128.9307\nFrance,FRA,2007,3075.7896\nFrance,FRA,2008,3084.8447\nFrance,FRA,2009,2908.9104\nFrance,FRA,2010,3001.2307\nFrance,FRA,2011,2897.7097\nFrance,FRA,2012,2894.8584\nFrance,FRA,2013,2925.0532\nFrance,FRA,2014,2797.7822\nFrance,FRA,2015,2823.4268\nFrance,FRA,2016,2766.5972\nFrance,FRA,2017,2756.229\nFrance,FRA,2018,2790.4287\nFrance,FRA,2019,2731.3474\nFrance,FRA,2020,2444.2654\nFrance,FRA,2021,2597.5605\nFrance,FRA,2022,2306.192\nFrance,FRA,2023,2406.5137\nFrance,FRA,2024,2519.9006\n```\n\nIn which year shown does primary energy consumption reach its highest value for France?","response":"The series peaks in 2004, at 3,180.13 TWh. The lowest point shown is 2022, at 2,306.19 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nFrance,FRA,1990,2649.8232\nFrance,FRA,1991,2834.176\nFrance,FRA,1992,2857.941\nFrance,FRA,1993,2853.8882\nFrance,FRA,1994,2824.7595\nFrance,FRA,1995,2904.198\nFrance,FRA,1996,3012.3484\nFrance,FRA,1997,2965.6794\nFrance,FRA,1998,3037.222\nFrance,FRA,1999,3078.016\nFrance,FRA,2000,3117.9092\nFrance,FRA,2001,3143.0464\nFrance,FRA,2002,3118.9194\nFrance,FRA,2003,3153.0417\nFrance,FRA,2004,3180.13\nFrance,FRA,2005,3154.079\nFrance,FRA,2006,3128.9307\nFrance,FRA,2007,3075.7896\nFrance,FRA,2008,3084.8447\nFrance,FRA,2009,2908.9104\nFrance,FRA,2010,3001.2307\nFrance,FRA,2011,2897.7097\nFrance,FRA,2012,2894.8584\nFrance,FRA,2013,2925.0532\nFrance,FRA,2014,2797.7822\nFrance,FRA,2015,2823.4268\nFrance,FRA,2016,2766.5972\nFrance,FRA,2017,2756.229\nFrance,FRA,2018,2790.4287\nFrance,FRA,2019,2731.3474\nFrance,FRA,2020,2444.2654\nFrance,FRA,2021,2597.5605\nFrance,FRA,2022,2306.192\nFrance,FRA,2023,2406.5137\nFrance,FRA,2024,2519.9006\n```\n\nHow much did primary energy consumption change for France between 1990 and 2024?","response":"It moved from 2,649.82 TWh in 1990 to 2,519.9 TWh in 2024, a change of -129.92 TWh (-4.90%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nFrance,FRA,1990,2649.8232\nFrance,FRA,1991,2834.176\nFrance,FRA,1992,2857.941\nFrance,FRA,1993,2853.8882\nFrance,FRA,1994,2824.7595\nFrance,FRA,1995,2904.198\nFrance,FRA,1996,3012.3484\nFrance,FRA,1997,2965.6794\nFrance,FRA,1998,3037.222\nFrance,FRA,1999,3078.016\nFrance,FRA,2000,3117.9092\nFrance,FRA,2001,3143.0464\nFrance,FRA,2002,3118.9194\nFrance,FRA,2003,3153.0417\nFrance,FRA,2004,3180.13\nFrance,FRA,2005,3154.079\nFrance,FRA,2006,3128.9307\nFrance,FRA,2007,3075.7896\nFrance,FRA,2008,3084.8447\nFrance,FRA,2009,2908.9104\nFrance,FRA,2010,3001.2307\nFrance,FRA,2011,2897.7097\nFrance,FRA,2012,2894.8584\nFrance,FRA,2013,2925.0532\nFrance,FRA,2014,2797.7822\nFrance,FRA,2015,2823.4268\nFrance,FRA,2016,2766.5972\nFrance,FRA,2017,2756.229\nFrance,FRA,2018,2790.4287\nFrance,FRA,2019,2731.3474\nFrance,FRA,2020,2444.2654\nFrance,FRA,2021,2597.5605\nFrance,FRA,2022,2306.192\nFrance,FRA,2023,2406.5137\nFrance,FRA,2024,2519.9006\n```\n\nWas primary energy consumption in France higher in 2003 or 2012?","response":"Higher in 2003. The chart gives 3,153.04 TWh for 2003 and 2,894.86 TWh for 2012, a difference of 258.18 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nFrance,FRA,1990,2649.8232\nFrance,FRA,1991,2834.176\nFrance,FRA,1992,2857.941\nFrance,FRA,1993,2853.8882\nFrance,FRA,1994,2824.7595\nFrance,FRA,1995,2904.198\nFrance,FRA,1996,3012.3484\nFrance,FRA,1997,2965.6794\nFrance,FRA,1998,3037.222\nFrance,FRA,1999,3078.016\nFrance,FRA,2000,3117.9092\nFrance,FRA,2001,3143.0464\nFrance,FRA,2002,3118.9194\nFrance,FRA,2003,3153.0417\nFrance,FRA,2004,3180.13\nFrance,FRA,2005,3154.079\nFrance,FRA,2006,3128.9307\nFrance,FRA,2007,3075.7896\nFrance,FRA,2008,3084.8447\nFrance,FRA,2009,2908.9104\nFrance,FRA,2010,3001.2307\nFrance,FRA,2011,2897.7097\nFrance,FRA,2012,2894.8584\nFrance,FRA,2013,2925.0532\nFrance,FRA,2014,2797.7822\nFrance,FRA,2015,2823.4268\nFrance,FRA,2016,2766.5972\nFrance,FRA,2017,2756.229\nFrance,FRA,2018,2790.4287\nFrance,FRA,2019,2731.3474\nFrance,FRA,2020,2444.2654\nFrance,FRA,2021,2597.5605\nFrance,FRA,2022,2306.192\nFrance,FRA,2023,2406.5137\nFrance,FRA,2024,2519.9006\n```\n\nThis chart appears to show primary energy consumption in France rising steeply. How large is the increase actually?","response":"The plotted values run from 2,649.82 TWh to 2,519.9 TWh, so the actual change is -4.90%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 2170.7376 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nFrance,FRA,1990,2649.8232\nFrance,FRA,1991,2834.176\nFrance,FRA,1992,2857.941\nFrance,FRA,1993,2853.8882\nFrance,FRA,1994,2824.7595\nFrance,FRA,1995,2904.198\nFrance,FRA,1996,3012.3484\nFrance,FRA,1997,2965.6794\nFrance,FRA,1998,3037.222\nFrance,FRA,1999,3078.016\nFrance,FRA,2000,3117.9092\nFrance,FRA,2001,3143.0464\nFrance,FRA,2002,3118.9194\nFrance,FRA,2003,3153.0417\nFrance,FRA,2004,3180.13\nFrance,FRA,2005,3154.079\nFrance,FRA,2006,3128.9307\nFrance,FRA,2007,3075.7896\nFrance,FRA,2008,3084.8447\nFrance,FRA,2009,2908.9104\nFrance,FRA,2010,3001.2307\nFrance,FRA,2011,2897.7097\nFrance,FRA,2012,2894.8584\nFrance,FRA,2013,2925.0532\nFrance,FRA,2014,2797.7822\nFrance,FRA,2015,2823.4268\nFrance,FRA,2016,2766.5972\nFrance,FRA,2017,2756.229\nFrance,FRA,2018,2790.4287\nFrance,FRA,2019,2731.3474\nFrance,FRA,2020,2444.2654\nFrance,FRA,2021,2597.5605\nFrance,FRA,2022,2306.192\nFrance,FRA,2023,2406.5137\nFrance,FRA,2024,2519.9006\n```\n\nBased on this chart, is primary energy consumption in France rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2,649.82 TWh to 2,519.9 TWh, a change of -4.90%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nFrance,FRA,1993,2853.8882\nFrance,FRA,1994,2824.7595\nFrance,FRA,1995,2904.198\nFrance,FRA,1996,3012.3484\nFrance,FRA,1997,2965.6794\nFrance,FRA,1998,3037.222\nFrance,FRA,1999,3078.016\nFrance,FRA,2000,3117.9092\nFrance,FRA,2001,3143.0464\n```\n\nWhat does this chart suggest about the long-run direction of primary energy consumption in France?","response":"Within the window shown (1993-2001) the series moves +10.13%, but that window runs against the longer record. Across the full series (1990-2024) the change is -4.90%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nFrance,FRA,1990,2649.8232\nFrance,FRA,1991,2834.176\nFrance,FRA,1992,2857.941\nFrance,FRA,1993,2853.8882\nFrance,FRA,1994,2824.7595\nFrance,FRA,1995,2904.198\nFrance,FRA,1996,3012.3484\nFrance,FRA,1997,2965.6794\nFrance,FRA,1998,3037.222\nFrance,FRA,1999,3078.016\nFrance,FRA,2000,3117.9092\nFrance,FRA,2001,3143.0464\nFrance,FRA,2002,3118.9194\nFrance,FRA,2003,3153.0417\nFrance,FRA,2004,3180.13\nFrance,FRA,2005,3154.079\nFrance,FRA,2006,3128.9307\nFrance,FRA,2007,3075.7896\nFrance,FRA,2008,3084.8447\nFrance,FRA,2009,2908.9104\nFrance,FRA,2010,3001.2307\nFrance,FRA,2011,2897.7097\nFrance,FRA,2012,2894.8584\nFrance,FRA,2013,2925.0532\nFrance,FRA,2014,2797.7822\nFrance,FRA,2015,2823.4268\nFrance,FRA,2016,2766.5972\nFrance,FRA,2017,2756.229\nFrance,FRA,2018,2790.4287\nFrance,FRA,2019,2731.3474\nFrance,FRA,2020,2444.2654\nFrance,FRA,2021,2597.5605\nFrance,FRA,2022,2306.192\nFrance,FRA,2023,2406.5137\nFrance,FRA,2024,2519.9006\n```\n\nWhat caused the change in primary energy consumption for France around 2022?","response":"The chart shows that the change happened: primary energy consumption moves to 2,306.19 TWh in 2022. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__France__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nCanada,CAN,1990,3008.582\nCanada,CAN,1991,3020.828\nCanada,CAN,1992,3101.7253\nCanada,CAN,1993,3180.0066\nCanada,CAN,1994,3301.1558\nCanada,CAN,1995,3381.887\nCanada,CAN,1996,3474.0361\nCanada,CAN,1997,3491.2454\nCanada,CAN,1998,3441.1692\nCanada,CAN,1999,3550.9092\nCanada,CAN,2000,3647.4895\nCanada,CAN,2001,3572.098\nCanada,CAN,2002,3693.3928\nCanada,CAN,2003,3711.0212\nCanada,CAN,2004,3768.0676\nCanada,CAN,2005,3796.7036\nCanada,CAN,2006,3669.61\nCanada,CAN,2007,3918.65\nCanada,CAN,2008,3871.8708\nCanada,CAN,2009,3720.5044\nCanada,CAN,2010,3760.5542\nCanada,CAN,2011,3900.1172\nCanada,CAN,2012,3901.6929\nCanada,CAN,2013,4004.3506\nCanada,CAN,2014,4009.1555\nCanada,CAN,2015,4021.4531\nCanada,CAN,2016,3973.0369\nCanada,CAN,2017,4026.6348\nCanada,CAN,2018,4082.4893\nCanada,CAN,2019,4059.9888\nCanada,CAN,2020,3834.9443\nCanada,CAN,2021,3861.9797\nCanada,CAN,2022,3964.521\nCanada,CAN,2023,3887.8604\nCanada,CAN,2024,3886.195\n```\n\nAccording to this chart, what was primary energy consumption in Canada in 2018?","response":"Reading the plotted point for 2018, primary energy consumption in Canada was 4,082.49 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nCanada,CAN,1990,3008.582\nCanada,CAN,1991,3020.828\nCanada,CAN,1992,3101.7253\nCanada,CAN,1993,3180.0066\nCanada,CAN,1994,3301.1558\nCanada,CAN,1995,3381.887\nCanada,CAN,1996,3474.0361\nCanada,CAN,1997,3491.2454\nCanada,CAN,1998,3441.1692\nCanada,CAN,1999,3550.9092\nCanada,CAN,2000,3647.4895\nCanada,CAN,2001,3572.098\nCanada,CAN,2002,3693.3928\nCanada,CAN,2003,3711.0212\nCanada,CAN,2004,3768.0676\nCanada,CAN,2005,3796.7036\nCanada,CAN,2006,3669.61\nCanada,CAN,2007,3918.65\nCanada,CAN,2008,3871.8708\nCanada,CAN,2009,3720.5044\nCanada,CAN,2010,3760.5542\nCanada,CAN,2011,3900.1172\nCanada,CAN,2012,3901.6929\nCanada,CAN,2013,4004.3506\nCanada,CAN,2014,4009.1555\nCanada,CAN,2015,4021.4531\nCanada,CAN,2016,3973.0369\nCanada,CAN,2017,4026.6348\nCanada,CAN,2018,4082.4893\nCanada,CAN,2019,4059.9888\nCanada,CAN,2020,3834.9443\nCanada,CAN,2021,3861.9797\nCanada,CAN,2022,3964.521\nCanada,CAN,2023,3887.8604\nCanada,CAN,2024,3886.195\n```\n\nIn which year shown does primary energy consumption reach its highest value for Canada?","response":"The series peaks in 2018, at 4,082.49 TWh. The lowest point shown is 1990, at 3,008.58 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nCanada,CAN,1990,3008.582\nCanada,CAN,1991,3020.828\nCanada,CAN,1992,3101.7253\nCanada,CAN,1993,3180.0066\nCanada,CAN,1994,3301.1558\nCanada,CAN,1995,3381.887\nCanada,CAN,1996,3474.0361\nCanada,CAN,1997,3491.2454\nCanada,CAN,1998,3441.1692\nCanada,CAN,1999,3550.9092\nCanada,CAN,2000,3647.4895\nCanada,CAN,2001,3572.098\nCanada,CAN,2002,3693.3928\nCanada,CAN,2003,3711.0212\nCanada,CAN,2004,3768.0676\nCanada,CAN,2005,3796.7036\nCanada,CAN,2006,3669.61\nCanada,CAN,2007,3918.65\nCanada,CAN,2008,3871.8708\nCanada,CAN,2009,3720.5044\nCanada,CAN,2010,3760.5542\nCanada,CAN,2011,3900.1172\nCanada,CAN,2012,3901.6929\nCanada,CAN,2013,4004.3506\nCanada,CAN,2014,4009.1555\nCanada,CAN,2015,4021.4531\nCanada,CAN,2016,3973.0369\nCanada,CAN,2017,4026.6348\nCanada,CAN,2018,4082.4893\nCanada,CAN,2019,4059.9888\nCanada,CAN,2020,3834.9443\nCanada,CAN,2021,3861.9797\nCanada,CAN,2022,3964.521\nCanada,CAN,2023,3887.8604\nCanada,CAN,2024,3886.195\n```\n\nHow much did primary energy consumption change for Canada between 1990 and 2024?","response":"It moved from 3,008.58 TWh in 1990 to 3,886.2 TWh in 2024, a change of 877.61 TWh (+29.17%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nCanada,CAN,1990,3008.582\nCanada,CAN,1991,3020.828\nCanada,CAN,1992,3101.7253\nCanada,CAN,1993,3180.0066\nCanada,CAN,1994,3301.1558\nCanada,CAN,1995,3381.887\nCanada,CAN,1996,3474.0361\nCanada,CAN,1997,3491.2454\nCanada,CAN,1998,3441.1692\nCanada,CAN,1999,3550.9092\nCanada,CAN,2000,3647.4895\nCanada,CAN,2001,3572.098\nCanada,CAN,2002,3693.3928\nCanada,CAN,2003,3711.0212\nCanada,CAN,2004,3768.0676\nCanada,CAN,2005,3796.7036\nCanada,CAN,2006,3669.61\nCanada,CAN,2007,3918.65\nCanada,CAN,2008,3871.8708\nCanada,CAN,2009,3720.5044\nCanada,CAN,2010,3760.5542\nCanada,CAN,2011,3900.1172\nCanada,CAN,2012,3901.6929\nCanada,CAN,2013,4004.3506\nCanada,CAN,2014,4009.1555\nCanada,CAN,2015,4021.4531\nCanada,CAN,2016,3973.0369\nCanada,CAN,2017,4026.6348\nCanada,CAN,2018,4082.4893\nCanada,CAN,2019,4059.9888\nCanada,CAN,2020,3834.9443\nCanada,CAN,2021,3861.9797\nCanada,CAN,2022,3964.521\nCanada,CAN,2023,3887.8604\nCanada,CAN,2024,3886.195\n```\n\nWas primary energy consumption in Canada higher in 1993 or 2023?","response":"Higher in 2023. The chart gives 3,180.01 TWh for 1993 and 3,887.86 TWh for 2023, a difference of 707.85 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nCanada,CAN,1990,3008.582\nCanada,CAN,1991,3020.828\nCanada,CAN,1992,3101.7253\nCanada,CAN,1993,3180.0066\nCanada,CAN,1994,3301.1558\nCanada,CAN,1995,3381.887\nCanada,CAN,1996,3474.0361\nCanada,CAN,1997,3491.2454\nCanada,CAN,1998,3441.1692\nCanada,CAN,1999,3550.9092\nCanada,CAN,2000,3647.4895\nCanada,CAN,2001,3572.098\nCanada,CAN,2002,3693.3928\nCanada,CAN,2003,3711.0212\nCanada,CAN,2004,3768.0676\nCanada,CAN,2005,3796.7036\nCanada,CAN,2006,3669.61\nCanada,CAN,2007,3918.65\nCanada,CAN,2008,3871.8708\nCanada,CAN,2009,3720.5044\nCanada,CAN,2010,3760.5542\nCanada,CAN,2011,3900.1172\nCanada,CAN,2012,3901.6929\nCanada,CAN,2013,4004.3506\nCanada,CAN,2014,4009.1555\nCanada,CAN,2015,4021.4531\nCanada,CAN,2016,3973.0369\nCanada,CAN,2017,4026.6348\nCanada,CAN,2018,4082.4893\nCanada,CAN,2019,4059.9888\nCanada,CAN,2020,3834.9443\nCanada,CAN,2021,3861.9797\nCanada,CAN,2022,3964.521\nCanada,CAN,2023,3887.8604\nCanada,CAN,2024,3886.195\n```\n\nAccording to this chart, what was primary energy consumption in Canada in 2018?","response":"Reading the plotted point for 2018, primary energy consumption in Canada was 4,082.49 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nCanada,CAN,1990,3008.582\nCanada,CAN,1991,3020.828\nCanada,CAN,1992,3101.7253\nCanada,CAN,1993,3180.0066\nCanada,CAN,1994,3301.1558\nCanada,CAN,1995,3381.887\nCanada,CAN,1996,3474.0361\nCanada,CAN,1997,3491.2454\nCanada,CAN,1998,3441.1692\nCanada,CAN,1999,3550.9092\nCanada,CAN,2000,3647.4895\nCanada,CAN,2001,3572.098\nCanada,CAN,2002,3693.3928\nCanada,CAN,2003,3711.0212\nCanada,CAN,2004,3768.0676\nCanada,CAN,2005,3796.7036\nCanada,CAN,2006,3669.61\nCanada,CAN,2007,3918.65\nCanada,CAN,2008,3871.8708\nCanada,CAN,2009,3720.5044\nCanada,CAN,2010,3760.5542\nCanada,CAN,2011,3900.1172\nCanada,CAN,2012,3901.6929\nCanada,CAN,2013,4004.3506\nCanada,CAN,2014,4009.1555\nCanada,CAN,2015,4021.4531\nCanada,CAN,2016,3973.0369\nCanada,CAN,2017,4026.6348\nCanada,CAN,2018,4082.4893\nCanada,CAN,2019,4059.9888\nCanada,CAN,2020,3834.9443\nCanada,CAN,2021,3861.9797\nCanada,CAN,2022,3964.521\nCanada,CAN,2023,3887.8604\nCanada,CAN,2024,3886.195\n```\n\nIn which year shown does primary energy consumption reach its highest value for Canada?","response":"The series peaks in 2018, at 4,082.49 TWh. The lowest point shown is 1990, at 3,008.58 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nCanada,CAN,1990,3008.582\nCanada,CAN,1991,3020.828\nCanada,CAN,1992,3101.7253\nCanada,CAN,1993,3180.0066\nCanada,CAN,1994,3301.1558\nCanada,CAN,1995,3381.887\nCanada,CAN,1996,3474.0361\nCanada,CAN,1997,3491.2454\nCanada,CAN,1998,3441.1692\nCanada,CAN,1999,3550.9092\nCanada,CAN,2000,3647.4895\nCanada,CAN,2001,3572.098\nCanada,CAN,2002,3693.3928\nCanada,CAN,2003,3711.0212\nCanada,CAN,2004,3768.0676\nCanada,CAN,2005,3796.7036\nCanada,CAN,2006,3669.61\nCanada,CAN,2007,3918.65\nCanada,CAN,2008,3871.8708\nCanada,CAN,2009,3720.5044\nCanada,CAN,2010,3760.5542\nCanada,CAN,2011,3900.1172\nCanada,CAN,2012,3901.6929\nCanada,CAN,2013,4004.3506\nCanada,CAN,2014,4009.1555\nCanada,CAN,2015,4021.4531\nCanada,CAN,2016,3973.0369\nCanada,CAN,2017,4026.6348\nCanada,CAN,2018,4082.4893\nCanada,CAN,2019,4059.9888\nCanada,CAN,2020,3834.9443\nCanada,CAN,2021,3861.9797\nCanada,CAN,2022,3964.521\nCanada,CAN,2023,3887.8604\nCanada,CAN,2024,3886.195\n```\n\nHow much did primary energy consumption change for Canada between 1990 and 2024?","response":"It moved from 3,008.58 TWh in 1990 to 3,886.2 TWh in 2024, a change of 877.61 TWh (+29.17%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nCanada,CAN,1990,3008.582\nCanada,CAN,1991,3020.828\nCanada,CAN,1992,3101.7253\nCanada,CAN,1993,3180.0066\nCanada,CAN,1994,3301.1558\nCanada,CAN,1995,3381.887\nCanada,CAN,1996,3474.0361\nCanada,CAN,1997,3491.2454\nCanada,CAN,1998,3441.1692\nCanada,CAN,1999,3550.9092\nCanada,CAN,2000,3647.4895\nCanada,CAN,2001,3572.098\nCanada,CAN,2002,3693.3928\nCanada,CAN,2003,3711.0212\nCanada,CAN,2004,3768.0676\nCanada,CAN,2005,3796.7036\nCanada,CAN,2006,3669.61\nCanada,CAN,2007,3918.65\nCanada,CAN,2008,3871.8708\nCanada,CAN,2009,3720.5044\nCanada,CAN,2010,3760.5542\nCanada,CAN,2011,3900.1172\nCanada,CAN,2012,3901.6929\nCanada,CAN,2013,4004.3506\nCanada,CAN,2014,4009.1555\nCanada,CAN,2015,4021.4531\nCanada,CAN,2016,3973.0369\nCanada,CAN,2017,4026.6348\nCanada,CAN,2018,4082.4893\nCanada,CAN,2019,4059.9888\nCanada,CAN,2020,3834.9443\nCanada,CAN,2021,3861.9797\nCanada,CAN,2022,3964.521\nCanada,CAN,2023,3887.8604\nCanada,CAN,2024,3886.195\n```\n\nWas primary energy consumption in Canada higher in 1993 or 2023?","response":"Higher in 2023. The chart gives 3,180.01 TWh for 1993 and 3,887.86 TWh for 2023, a difference of 707.85 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nCanada,CAN,1990,3008.582\nCanada,CAN,1991,3020.828\nCanada,CAN,1992,3101.7253\nCanada,CAN,1993,3180.0066\nCanada,CAN,1994,3301.1558\nCanada,CAN,1995,3381.887\nCanada,CAN,1996,3474.0361\nCanada,CAN,1997,3491.2454\nCanada,CAN,1998,3441.1692\nCanada,CAN,1999,3550.9092\nCanada,CAN,2000,3647.4895\nCanada,CAN,2001,3572.098\nCanada,CAN,2002,3693.3928\nCanada,CAN,2003,3711.0212\nCanada,CAN,2004,3768.0676\nCanada,CAN,2005,3796.7036\nCanada,CAN,2006,3669.61\nCanada,CAN,2007,3918.65\nCanada,CAN,2008,3871.8708\nCanada,CAN,2009,3720.5044\nCanada,CAN,2010,3760.5542\nCanada,CAN,2011,3900.1172\nCanada,CAN,2012,3901.6929\nCanada,CAN,2013,4004.3506\nCanada,CAN,2014,4009.1555\nCanada,CAN,2015,4021.4531\nCanada,CAN,2016,3973.0369\nCanada,CAN,2017,4026.6348\nCanada,CAN,2018,4082.4893\nCanada,CAN,2019,4059.9888\nCanada,CAN,2020,3834.9443\nCanada,CAN,2021,3861.9797\nCanada,CAN,2022,3964.521\nCanada,CAN,2023,3887.8604\nCanada,CAN,2024,3886.195\n```\n\nThis chart appears to show primary energy consumption in Canada rising steeply. How large is the increase actually?","response":"The plotted values run from 3,008.58 TWh to 3,886.2 TWh, so the actual change is +29.17%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 2810.6876 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nCanada,CAN,1990,3008.582\nCanada,CAN,1991,3020.828\nCanada,CAN,1992,3101.7253\nCanada,CAN,1993,3180.0066\nCanada,CAN,1994,3301.1558\nCanada,CAN,1995,3381.887\nCanada,CAN,1996,3474.0361\nCanada,CAN,1997,3491.2454\nCanada,CAN,1998,3441.1692\nCanada,CAN,1999,3550.9092\nCanada,CAN,2000,3647.4895\nCanada,CAN,2001,3572.098\nCanada,CAN,2002,3693.3928\nCanada,CAN,2003,3711.0212\nCanada,CAN,2004,3768.0676\nCanada,CAN,2005,3796.7036\nCanada,CAN,2006,3669.61\nCanada,CAN,2007,3918.65\nCanada,CAN,2008,3871.8708\nCanada,CAN,2009,3720.5044\nCanada,CAN,2010,3760.5542\nCanada,CAN,2011,3900.1172\nCanada,CAN,2012,3901.6929\nCanada,CAN,2013,4004.3506\nCanada,CAN,2014,4009.1555\nCanada,CAN,2015,4021.4531\nCanada,CAN,2016,3973.0369\nCanada,CAN,2017,4026.6348\nCanada,CAN,2018,4082.4893\nCanada,CAN,2019,4059.9888\nCanada,CAN,2020,3834.9443\nCanada,CAN,2021,3861.9797\nCanada,CAN,2022,3964.521\nCanada,CAN,2023,3887.8604\nCanada,CAN,2024,3886.195\n```\n\nBased on this chart, is primary energy consumption in Canada rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 3,008.58 TWh to 3,886.2 TWh, a change of +29.17%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nCanada,CAN,2016,3973.0369\nCanada,CAN,2017,4026.6348\nCanada,CAN,2018,4082.4893\nCanada,CAN,2019,4059.9888\nCanada,CAN,2020,3834.9443\nCanada,CAN,2021,3861.9797\nCanada,CAN,2022,3964.521\nCanada,CAN,2023,3887.8604\nCanada,CAN,2024,3886.195\n```\n\nWhat does this chart suggest about the long-run direction of primary energy consumption in Canada?","response":"Within the window shown (2016-2024) the series moves -2.19%, but that window runs against the longer record. Across the full series (1990-2024) the change is +29.17%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nCanada,CAN,1990,3008.582\nCanada,CAN,1991,3020.828\nCanada,CAN,1992,3101.7253\nCanada,CAN,1993,3180.0066\nCanada,CAN,1994,3301.1558\nCanada,CAN,1995,3381.887\nCanada,CAN,1996,3474.0361\nCanada,CAN,1997,3491.2454\nCanada,CAN,1998,3441.1692\nCanada,CAN,1999,3550.9092\nCanada,CAN,2000,3647.4895\nCanada,CAN,2001,3572.098\nCanada,CAN,2002,3693.3928\nCanada,CAN,2003,3711.0212\nCanada,CAN,2004,3768.0676\nCanada,CAN,2005,3796.7036\nCanada,CAN,2006,3669.61\nCanada,CAN,2007,3918.65\nCanada,CAN,2008,3871.8708\nCanada,CAN,2009,3720.5044\nCanada,CAN,2010,3760.5542\nCanada,CAN,2011,3900.1172\nCanada,CAN,2012,3901.6929\nCanada,CAN,2013,4004.3506\nCanada,CAN,2014,4009.1555\nCanada,CAN,2015,4021.4531\nCanada,CAN,2016,3973.0369\nCanada,CAN,2017,4026.6348\nCanada,CAN,2018,4082.4893\nCanada,CAN,2019,4059.9888\nCanada,CAN,2020,3834.9443\nCanada,CAN,2021,3861.9797\nCanada,CAN,2022,3964.521\nCanada,CAN,2023,3887.8604\nCanada,CAN,2024,3886.195\n```\n\nWhat caused the change in primary energy consumption for Canada around 2007?","response":"The chart shows that the change happened: primary energy consumption moves to 3,918.65 TWh in 2007. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Canada__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nUnited Kingdom,GBR,1990,2508.3933\nUnited Kingdom,GBR,1991,2561.2166\nUnited Kingdom,GBR,1992,2545.3274\nUnited Kingdom,GBR,1993,2574.725\nUnited Kingdom,GBR,1994,2543.823\nUnited Kingdom,GBR,1995,2552.5454\nUnited Kingdom,GBR,1996,2676.295\nUnited Kingdom,GBR,1997,2629.9988\nUnited Kingdom,GBR,1998,2651.6182\nUnited Kingdom,GBR,1999,2639.2192\nUnited Kingdom,GBR,2000,2664.1162\nUnited Kingdom,GBR,2001,2691.8062\nUnited Kingdom,GBR,2002,2630.84\nUnited Kingdom,GBR,2003,2668.7344\nUnited Kingdom,GBR,2004,2690.6519\nUnited Kingdom,GBR,2005,2712.6824\nUnited Kingdom,GBR,2006,2678.3374\nUnited Kingdom,GBR,2007,2604.1924\nUnited Kingdom,GBR,2008,2558.8162\nUnited Kingdom,GBR,2009,2422.8115\nUnited Kingdom,GBR,2010,2475.1465\nUnited Kingdom,GBR,2011,2332.1885\nUnited Kingdom,GBR,2012,2375.146\nUnited Kingdom,GBR,2013,2388.4731\nUnited Kingdom,GBR,2014,2255.7075\nUnited Kingdom,GBR,2015,2279.4673\nUnited Kingdom,GBR,2016,2246.9219\nUnited Kingdom,GBR,2017,2251.043\nUnited Kingdom,GBR,2018,2246.4243\nUnited Kingdom,GBR,2019,2192.9846\nUnited Kingdom,GBR,2020,1982.8427\nUnited Kingdom,GBR,2021,1990.9673\nUnited Kingdom,GBR,2022,2009.9438\nUnited Kingdom,GBR,2023,1929.6262\nUnited Kingdom,GBR,2024,1936.9596\n```\n\nAccording to this chart, what was primary energy consumption in United Kingdom in 2017?","response":"Reading the plotted point for 2017, primary energy consumption in United Kingdom was 2,251.04 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nUnited Kingdom,GBR,1990,2508.3933\nUnited Kingdom,GBR,1991,2561.2166\nUnited Kingdom,GBR,1992,2545.3274\nUnited Kingdom,GBR,1993,2574.725\nUnited Kingdom,GBR,1994,2543.823\nUnited Kingdom,GBR,1995,2552.5454\nUnited Kingdom,GBR,1996,2676.295\nUnited Kingdom,GBR,1997,2629.9988\nUnited Kingdom,GBR,1998,2651.6182\nUnited Kingdom,GBR,1999,2639.2192\nUnited Kingdom,GBR,2000,2664.1162\nUnited Kingdom,GBR,2001,2691.8062\nUnited Kingdom,GBR,2002,2630.84\nUnited Kingdom,GBR,2003,2668.7344\nUnited Kingdom,GBR,2004,2690.6519\nUnited Kingdom,GBR,2005,2712.6824\nUnited Kingdom,GBR,2006,2678.3374\nUnited Kingdom,GBR,2007,2604.1924\nUnited Kingdom,GBR,2008,2558.8162\nUnited Kingdom,GBR,2009,2422.8115\nUnited Kingdom,GBR,2010,2475.1465\nUnited Kingdom,GBR,2011,2332.1885\nUnited Kingdom,GBR,2012,2375.146\nUnited Kingdom,GBR,2013,2388.4731\nUnited Kingdom,GBR,2014,2255.7075\nUnited Kingdom,GBR,2015,2279.4673\nUnited Kingdom,GBR,2016,2246.9219\nUnited Kingdom,GBR,2017,2251.043\nUnited Kingdom,GBR,2018,2246.4243\nUnited Kingdom,GBR,2019,2192.9846\nUnited Kingdom,GBR,2020,1982.8427\nUnited Kingdom,GBR,2021,1990.9673\nUnited Kingdom,GBR,2022,2009.9438\nUnited Kingdom,GBR,2023,1929.6262\nUnited Kingdom,GBR,2024,1936.9596\n```\n\nIn which year shown does primary energy consumption reach its highest value for United Kingdom?","response":"The series peaks in 2005, at 2,712.68 TWh. The lowest point shown is 2023, at 1,929.63 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nUnited Kingdom,GBR,1990,2508.3933\nUnited Kingdom,GBR,1991,2561.2166\nUnited Kingdom,GBR,1992,2545.3274\nUnited Kingdom,GBR,1993,2574.725\nUnited Kingdom,GBR,1994,2543.823\nUnited Kingdom,GBR,1995,2552.5454\nUnited Kingdom,GBR,1996,2676.295\nUnited Kingdom,GBR,1997,2629.9988\nUnited Kingdom,GBR,1998,2651.6182\nUnited Kingdom,GBR,1999,2639.2192\nUnited Kingdom,GBR,2000,2664.1162\nUnited Kingdom,GBR,2001,2691.8062\nUnited Kingdom,GBR,2002,2630.84\nUnited Kingdom,GBR,2003,2668.7344\nUnited Kingdom,GBR,2004,2690.6519\nUnited Kingdom,GBR,2005,2712.6824\nUnited Kingdom,GBR,2006,2678.3374\nUnited Kingdom,GBR,2007,2604.1924\nUnited Kingdom,GBR,2008,2558.8162\nUnited Kingdom,GBR,2009,2422.8115\nUnited Kingdom,GBR,2010,2475.1465\nUnited Kingdom,GBR,2011,2332.1885\nUnited Kingdom,GBR,2012,2375.146\nUnited Kingdom,GBR,2013,2388.4731\nUnited Kingdom,GBR,2014,2255.7075\nUnited Kingdom,GBR,2015,2279.4673\nUnited Kingdom,GBR,2016,2246.9219\nUnited Kingdom,GBR,2017,2251.043\nUnited Kingdom,GBR,2018,2246.4243\nUnited Kingdom,GBR,2019,2192.9846\nUnited Kingdom,GBR,2020,1982.8427\nUnited Kingdom,GBR,2021,1990.9673\nUnited Kingdom,GBR,2022,2009.9438\nUnited Kingdom,GBR,2023,1929.6262\nUnited Kingdom,GBR,2024,1936.9596\n```\n\nHow much did primary energy consumption change for United Kingdom between 1990 and 2024?","response":"It moved from 2,508.39 TWh in 1990 to 1,936.96 TWh in 2024, a change of -571.43 TWh (-22.78%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nUnited Kingdom,GBR,1990,2508.3933\nUnited Kingdom,GBR,1991,2561.2166\nUnited Kingdom,GBR,1992,2545.3274\nUnited Kingdom,GBR,1993,2574.725\nUnited Kingdom,GBR,1994,2543.823\nUnited Kingdom,GBR,1995,2552.5454\nUnited Kingdom,GBR,1996,2676.295\nUnited Kingdom,GBR,1997,2629.9988\nUnited Kingdom,GBR,1998,2651.6182\nUnited Kingdom,GBR,1999,2639.2192\nUnited Kingdom,GBR,2000,2664.1162\nUnited Kingdom,GBR,2001,2691.8062\nUnited Kingdom,GBR,2002,2630.84\nUnited Kingdom,GBR,2003,2668.7344\nUnited Kingdom,GBR,2004,2690.6519\nUnited Kingdom,GBR,2005,2712.6824\nUnited Kingdom,GBR,2006,2678.3374\nUnited Kingdom,GBR,2007,2604.1924\nUnited Kingdom,GBR,2008,2558.8162\nUnited Kingdom,GBR,2009,2422.8115\nUnited Kingdom,GBR,2010,2475.1465\nUnited Kingdom,GBR,2011,2332.1885\nUnited Kingdom,GBR,2012,2375.146\nUnited Kingdom,GBR,2013,2388.4731\nUnited Kingdom,GBR,2014,2255.7075\nUnited Kingdom,GBR,2015,2279.4673\nUnited Kingdom,GBR,2016,2246.9219\nUnited Kingdom,GBR,2017,2251.043\nUnited Kingdom,GBR,2018,2246.4243\nUnited Kingdom,GBR,2019,2192.9846\nUnited Kingdom,GBR,2020,1982.8427\nUnited Kingdom,GBR,2021,1990.9673\nUnited Kingdom,GBR,2022,2009.9438\nUnited Kingdom,GBR,2023,1929.6262\nUnited Kingdom,GBR,2024,1936.9596\n```\n\nWas primary energy consumption in United Kingdom higher in 1998 or 2019?","response":"Higher in 1998. The chart gives 2,651.62 TWh for 1998 and 2,192.98 TWh for 2019, a difference of 458.63 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nUnited Kingdom,GBR,1990,2508.3933\nUnited Kingdom,GBR,1991,2561.2166\nUnited Kingdom,GBR,1992,2545.3274\nUnited Kingdom,GBR,1993,2574.725\nUnited Kingdom,GBR,1994,2543.823\nUnited Kingdom,GBR,1995,2552.5454\nUnited Kingdom,GBR,1996,2676.295\nUnited Kingdom,GBR,1997,2629.9988\nUnited Kingdom,GBR,1998,2651.6182\nUnited Kingdom,GBR,1999,2639.2192\nUnited Kingdom,GBR,2000,2664.1162\nUnited Kingdom,GBR,2001,2691.8062\nUnited Kingdom,GBR,2002,2630.84\nUnited Kingdom,GBR,2003,2668.7344\nUnited Kingdom,GBR,2004,2690.6519\nUnited Kingdom,GBR,2005,2712.6824\nUnited Kingdom,GBR,2006,2678.3374\nUnited Kingdom,GBR,2007,2604.1924\nUnited Kingdom,GBR,2008,2558.8162\nUnited Kingdom,GBR,2009,2422.8115\nUnited Kingdom,GBR,2010,2475.1465\nUnited Kingdom,GBR,2011,2332.1885\nUnited Kingdom,GBR,2012,2375.146\nUnited Kingdom,GBR,2013,2388.4731\nUnited Kingdom,GBR,2014,2255.7075\nUnited Kingdom,GBR,2015,2279.4673\nUnited Kingdom,GBR,2016,2246.9219\nUnited Kingdom,GBR,2017,2251.043\nUnited Kingdom,GBR,2018,2246.4243\nUnited Kingdom,GBR,2019,2192.9846\nUnited Kingdom,GBR,2020,1982.8427\nUnited Kingdom,GBR,2021,1990.9673\nUnited Kingdom,GBR,2022,2009.9438\nUnited Kingdom,GBR,2023,1929.6262\nUnited Kingdom,GBR,2024,1936.9596\n```\n\nAccording to this chart, what was primary energy consumption in United Kingdom in 2017?","response":"Reading the plotted point for 2017, primary energy consumption in United Kingdom was 2,251.04 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nUnited Kingdom,GBR,1990,2508.3933\nUnited Kingdom,GBR,1991,2561.2166\nUnited Kingdom,GBR,1992,2545.3274\nUnited Kingdom,GBR,1993,2574.725\nUnited Kingdom,GBR,1994,2543.823\nUnited Kingdom,GBR,1995,2552.5454\nUnited Kingdom,GBR,1996,2676.295\nUnited Kingdom,GBR,1997,2629.9988\nUnited Kingdom,GBR,1998,2651.6182\nUnited Kingdom,GBR,1999,2639.2192\nUnited Kingdom,GBR,2000,2664.1162\nUnited Kingdom,GBR,2001,2691.8062\nUnited Kingdom,GBR,2002,2630.84\nUnited Kingdom,GBR,2003,2668.7344\nUnited Kingdom,GBR,2004,2690.6519\nUnited Kingdom,GBR,2005,2712.6824\nUnited Kingdom,GBR,2006,2678.3374\nUnited Kingdom,GBR,2007,2604.1924\nUnited Kingdom,GBR,2008,2558.8162\nUnited Kingdom,GBR,2009,2422.8115\nUnited Kingdom,GBR,2010,2475.1465\nUnited Kingdom,GBR,2011,2332.1885\nUnited Kingdom,GBR,2012,2375.146\nUnited Kingdom,GBR,2013,2388.4731\nUnited Kingdom,GBR,2014,2255.7075\nUnited Kingdom,GBR,2015,2279.4673\nUnited Kingdom,GBR,2016,2246.9219\nUnited Kingdom,GBR,2017,2251.043\nUnited Kingdom,GBR,2018,2246.4243\nUnited Kingdom,GBR,2019,2192.9846\nUnited Kingdom,GBR,2020,1982.8427\nUnited Kingdom,GBR,2021,1990.9673\nUnited Kingdom,GBR,2022,2009.9438\nUnited Kingdom,GBR,2023,1929.6262\nUnited Kingdom,GBR,2024,1936.9596\n```\n\nIn which year shown does primary energy consumption reach its highest value for United Kingdom?","response":"The series peaks in 2005, at 2,712.68 TWh. The lowest point shown is 2023, at 1,929.63 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nUnited Kingdom,GBR,1990,2508.3933\nUnited Kingdom,GBR,1991,2561.2166\nUnited Kingdom,GBR,1992,2545.3274\nUnited Kingdom,GBR,1993,2574.725\nUnited Kingdom,GBR,1994,2543.823\nUnited Kingdom,GBR,1995,2552.5454\nUnited Kingdom,GBR,1996,2676.295\nUnited Kingdom,GBR,1997,2629.9988\nUnited Kingdom,GBR,1998,2651.6182\nUnited Kingdom,GBR,1999,2639.2192\nUnited Kingdom,GBR,2000,2664.1162\nUnited Kingdom,GBR,2001,2691.8062\nUnited Kingdom,GBR,2002,2630.84\nUnited Kingdom,GBR,2003,2668.7344\nUnited Kingdom,GBR,2004,2690.6519\nUnited Kingdom,GBR,2005,2712.6824\nUnited Kingdom,GBR,2006,2678.3374\nUnited Kingdom,GBR,2007,2604.1924\nUnited Kingdom,GBR,2008,2558.8162\nUnited Kingdom,GBR,2009,2422.8115\nUnited Kingdom,GBR,2010,2475.1465\nUnited Kingdom,GBR,2011,2332.1885\nUnited Kingdom,GBR,2012,2375.146\nUnited Kingdom,GBR,2013,2388.4731\nUnited Kingdom,GBR,2014,2255.7075\nUnited Kingdom,GBR,2015,2279.4673\nUnited Kingdom,GBR,2016,2246.9219\nUnited Kingdom,GBR,2017,2251.043\nUnited Kingdom,GBR,2018,2246.4243\nUnited Kingdom,GBR,2019,2192.9846\nUnited Kingdom,GBR,2020,1982.8427\nUnited Kingdom,GBR,2021,1990.9673\nUnited Kingdom,GBR,2022,2009.9438\nUnited Kingdom,GBR,2023,1929.6262\nUnited Kingdom,GBR,2024,1936.9596\n```\n\nHow much did primary energy consumption change for United Kingdom between 1990 and 2024?","response":"It moved from 2,508.39 TWh in 1990 to 1,936.96 TWh in 2024, a change of -571.43 TWh (-22.78%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nUnited Kingdom,GBR,1990,2508.3933\nUnited Kingdom,GBR,1991,2561.2166\nUnited Kingdom,GBR,1992,2545.3274\nUnited Kingdom,GBR,1993,2574.725\nUnited Kingdom,GBR,1994,2543.823\nUnited Kingdom,GBR,1995,2552.5454\nUnited Kingdom,GBR,1996,2676.295\nUnited Kingdom,GBR,1997,2629.9988\nUnited Kingdom,GBR,1998,2651.6182\nUnited Kingdom,GBR,1999,2639.2192\nUnited Kingdom,GBR,2000,2664.1162\nUnited Kingdom,GBR,2001,2691.8062\nUnited Kingdom,GBR,2002,2630.84\nUnited Kingdom,GBR,2003,2668.7344\nUnited Kingdom,GBR,2004,2690.6519\nUnited Kingdom,GBR,2005,2712.6824\nUnited Kingdom,GBR,2006,2678.3374\nUnited Kingdom,GBR,2007,2604.1924\nUnited Kingdom,GBR,2008,2558.8162\nUnited Kingdom,GBR,2009,2422.8115\nUnited Kingdom,GBR,2010,2475.1465\nUnited Kingdom,GBR,2011,2332.1885\nUnited Kingdom,GBR,2012,2375.146\nUnited Kingdom,GBR,2013,2388.4731\nUnited Kingdom,GBR,2014,2255.7075\nUnited Kingdom,GBR,2015,2279.4673\nUnited Kingdom,GBR,2016,2246.9219\nUnited Kingdom,GBR,2017,2251.043\nUnited Kingdom,GBR,2018,2246.4243\nUnited Kingdom,GBR,2019,2192.9846\nUnited Kingdom,GBR,2020,1982.8427\nUnited Kingdom,GBR,2021,1990.9673\nUnited Kingdom,GBR,2022,2009.9438\nUnited Kingdom,GBR,2023,1929.6262\nUnited Kingdom,GBR,2024,1936.9596\n```\n\nWas primary energy consumption in United Kingdom higher in 1998 or 2019?","response":"Higher in 1998. The chart gives 2,651.62 TWh for 1998 and 2,192.98 TWh for 2019, a difference of 458.63 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nUnited Kingdom,GBR,1990,2508.3933\nUnited Kingdom,GBR,1991,2561.2166\nUnited Kingdom,GBR,1992,2545.3274\nUnited Kingdom,GBR,1993,2574.725\nUnited Kingdom,GBR,1994,2543.823\nUnited Kingdom,GBR,1995,2552.5454\nUnited Kingdom,GBR,1996,2676.295\nUnited Kingdom,GBR,1997,2629.9988\nUnited Kingdom,GBR,1998,2651.6182\nUnited Kingdom,GBR,1999,2639.2192\nUnited Kingdom,GBR,2000,2664.1162\nUnited Kingdom,GBR,2001,2691.8062\nUnited Kingdom,GBR,2002,2630.84\nUnited Kingdom,GBR,2003,2668.7344\nUnited Kingdom,GBR,2004,2690.6519\nUnited Kingdom,GBR,2005,2712.6824\nUnited Kingdom,GBR,2006,2678.3374\nUnited Kingdom,GBR,2007,2604.1924\nUnited Kingdom,GBR,2008,2558.8162\nUnited Kingdom,GBR,2009,2422.8115\nUnited Kingdom,GBR,2010,2475.1465\nUnited Kingdom,GBR,2011,2332.1885\nUnited Kingdom,GBR,2012,2375.146\nUnited Kingdom,GBR,2013,2388.4731\nUnited Kingdom,GBR,2014,2255.7075\nUnited Kingdom,GBR,2015,2279.4673\nUnited Kingdom,GBR,2016,2246.9219\nUnited Kingdom,GBR,2017,2251.043\nUnited Kingdom,GBR,2018,2246.4243\nUnited Kingdom,GBR,2019,2192.9846\nUnited Kingdom,GBR,2020,1982.8427\nUnited Kingdom,GBR,2021,1990.9673\nUnited Kingdom,GBR,2022,2009.9438\nUnited Kingdom,GBR,2023,1929.6262\nUnited Kingdom,GBR,2024,1936.9596\n```\n\nThis chart appears to show primary energy consumption in United Kingdom rising steeply. How large is the increase actually?","response":"The plotted values run from 2,508.39 TWh to 1,936.96 TWh, so the actual change is -22.78%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 1832.8715 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nUnited Kingdom,GBR,1990,2508.3933\nUnited Kingdom,GBR,1991,2561.2166\nUnited Kingdom,GBR,1992,2545.3274\nUnited Kingdom,GBR,1993,2574.725\nUnited Kingdom,GBR,1994,2543.823\nUnited Kingdom,GBR,1995,2552.5454\nUnited Kingdom,GBR,1996,2676.295\nUnited Kingdom,GBR,1997,2629.9988\nUnited Kingdom,GBR,1998,2651.6182\nUnited Kingdom,GBR,1999,2639.2192\nUnited Kingdom,GBR,2000,2664.1162\nUnited Kingdom,GBR,2001,2691.8062\nUnited Kingdom,GBR,2002,2630.84\nUnited Kingdom,GBR,2003,2668.7344\nUnited Kingdom,GBR,2004,2690.6519\nUnited Kingdom,GBR,2005,2712.6824\nUnited Kingdom,GBR,2006,2678.3374\nUnited Kingdom,GBR,2007,2604.1924\nUnited Kingdom,GBR,2008,2558.8162\nUnited Kingdom,GBR,2009,2422.8115\nUnited Kingdom,GBR,2010,2475.1465\nUnited Kingdom,GBR,2011,2332.1885\nUnited Kingdom,GBR,2012,2375.146\nUnited Kingdom,GBR,2013,2388.4731\nUnited Kingdom,GBR,2014,2255.7075\nUnited Kingdom,GBR,2015,2279.4673\nUnited Kingdom,GBR,2016,2246.9219\nUnited Kingdom,GBR,2017,2251.043\nUnited Kingdom,GBR,2018,2246.4243\nUnited Kingdom,GBR,2019,2192.9846\nUnited Kingdom,GBR,2020,1982.8427\nUnited Kingdom,GBR,2021,1990.9673\nUnited Kingdom,GBR,2022,2009.9438\nUnited Kingdom,GBR,2023,1929.6262\nUnited Kingdom,GBR,2024,1936.9596\n```\n\nBased on this chart, is primary energy consumption in United Kingdom rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2,508.39 TWh to 1,936.96 TWh, a change of -22.78%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nUnited Kingdom,GBR,1990,2508.3933\nUnited Kingdom,GBR,1991,2561.2166\nUnited Kingdom,GBR,1992,2545.3274\nUnited Kingdom,GBR,1993,2574.725\nUnited Kingdom,GBR,1994,2543.823\nUnited Kingdom,GBR,1995,2552.5454\nUnited Kingdom,GBR,1996,2676.295\nUnited Kingdom,GBR,1997,2629.9988\nUnited Kingdom,GBR,1998,2651.6182\n```\n\nWhat does this chart suggest about the long-run direction of primary energy consumption in United Kingdom?","response":"Within the window shown (1990-1998) the series moves +5.71%, but that window runs against the longer record. Across the full series (1990-2024) the change is -22.78%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nUnited Kingdom,GBR,1990,2508.3933\nUnited Kingdom,GBR,1991,2561.2166\nUnited Kingdom,GBR,1992,2545.3274\nUnited Kingdom,GBR,1993,2574.725\nUnited Kingdom,GBR,1994,2543.823\nUnited Kingdom,GBR,1995,2552.5454\nUnited Kingdom,GBR,1996,2676.295\nUnited Kingdom,GBR,1997,2629.9988\nUnited Kingdom,GBR,1998,2651.6182\nUnited Kingdom,GBR,1999,2639.2192\nUnited Kingdom,GBR,2000,2664.1162\nUnited Kingdom,GBR,2001,2691.8062\nUnited Kingdom,GBR,2002,2630.84\nUnited Kingdom,GBR,2003,2668.7344\nUnited Kingdom,GBR,2004,2690.6519\nUnited Kingdom,GBR,2005,2712.6824\nUnited Kingdom,GBR,2006,2678.3374\nUnited Kingdom,GBR,2007,2604.1924\nUnited Kingdom,GBR,2008,2558.8162\nUnited Kingdom,GBR,2009,2422.8115\nUnited Kingdom,GBR,2010,2475.1465\nUnited Kingdom,GBR,2011,2332.1885\nUnited Kingdom,GBR,2012,2375.146\nUnited Kingdom,GBR,2013,2388.4731\nUnited Kingdom,GBR,2014,2255.7075\nUnited Kingdom,GBR,2015,2279.4673\nUnited Kingdom,GBR,2016,2246.9219\nUnited Kingdom,GBR,2017,2251.043\nUnited Kingdom,GBR,2018,2246.4243\nUnited Kingdom,GBR,2019,2192.9846\nUnited Kingdom,GBR,2020,1982.8427\nUnited Kingdom,GBR,2021,1990.9673\nUnited Kingdom,GBR,2022,2009.9438\nUnited Kingdom,GBR,2023,1929.6262\nUnited Kingdom,GBR,2024,1936.9596\n```\n\nWhat caused the change in primary energy consumption for United Kingdom around 2020?","response":"The chart shows that the change happened: primary energy consumption moves to 1,982.84 TWh in 2020. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__United-Kingdom__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nGhana,GHA,1990,17.75217\nGhana,GHA,1991,17.991909\nGhana,GHA,1992,19.896257\nGhana,GHA,1993,20.056784\nGhana,GHA,1994,21.41211\nGhana,GHA,1995,21.978289\nGhana,GHA,1996,22.803926\nGhana,GHA,1997,22.040474\nGhana,GHA,1998,20.276283\nGhana,GHA,1999,23.579569\nGhana,GHA,2000,28.607296\nGhana,GHA,2001,28.596634\nGhana,GHA,2002,28.444456\nGhana,GHA,2003,27.526648\nGhana,GHA,2004,31.336817\nGhana,GHA,2005,31.84465\nGhana,GHA,2006,30.836794\nGhana,GHA,2007,32.114334\nGhana,GHA,2008,34.63676\nGhana,GHA,2009,40.490902\nGhana,GHA,2010,41.90005\nGhana,GHA,2011,55.035152\nGhana,GHA,2012,56.3735\nGhana,GHA,2013,59.63271\nGhana,GHA,2014,60.526993\nGhana,GHA,2015,72.17296\nGhana,GHA,2016,73.75972\nGhana,GHA,2017,73.756546\nGhana,GHA,2018,73.62599\nGhana,GHA,2019,79.99238\nGhana,GHA,2020,94.16067\nGhana,GHA,2021,103.08287\nGhana,GHA,2022,101.48766\nGhana,GHA,2023,106.71976\nGhana,GHA,2024,112.34843\n```\n\nAccording to this chart, what was primary energy consumption in Ghana in 2024?","response":"Reading the plotted point for 2024, primary energy consumption in Ghana was 112.35 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nGhana,GHA,1990,17.75217\nGhana,GHA,1991,17.991909\nGhana,GHA,1992,19.896257\nGhana,GHA,1993,20.056784\nGhana,GHA,1994,21.41211\nGhana,GHA,1995,21.978289\nGhana,GHA,1996,22.803926\nGhana,GHA,1997,22.040474\nGhana,GHA,1998,20.276283\nGhana,GHA,1999,23.579569\nGhana,GHA,2000,28.607296\nGhana,GHA,2001,28.596634\nGhana,GHA,2002,28.444456\nGhana,GHA,2003,27.526648\nGhana,GHA,2004,31.336817\nGhana,GHA,2005,31.84465\nGhana,GHA,2006,30.836794\nGhana,GHA,2007,32.114334\nGhana,GHA,2008,34.63676\nGhana,GHA,2009,40.490902\nGhana,GHA,2010,41.90005\nGhana,GHA,2011,55.035152\nGhana,GHA,2012,56.3735\nGhana,GHA,2013,59.63271\nGhana,GHA,2014,60.526993\nGhana,GHA,2015,72.17296\nGhana,GHA,2016,73.75972\nGhana,GHA,2017,73.756546\nGhana,GHA,2018,73.62599\nGhana,GHA,2019,79.99238\nGhana,GHA,2020,94.16067\nGhana,GHA,2021,103.08287\nGhana,GHA,2022,101.48766\nGhana,GHA,2023,106.71976\nGhana,GHA,2024,112.34843\n```\n\nIn which year shown does primary energy consumption reach its highest value for Ghana?","response":"The series peaks in 2024, at 112.35 TWh. The lowest point shown is 1990, at 17.75 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nGhana,GHA,1990,17.75217\nGhana,GHA,1991,17.991909\nGhana,GHA,1992,19.896257\nGhana,GHA,1993,20.056784\nGhana,GHA,1994,21.41211\nGhana,GHA,1995,21.978289\nGhana,GHA,1996,22.803926\nGhana,GHA,1997,22.040474\nGhana,GHA,1998,20.276283\nGhana,GHA,1999,23.579569\nGhana,GHA,2000,28.607296\nGhana,GHA,2001,28.596634\nGhana,GHA,2002,28.444456\nGhana,GHA,2003,27.526648\nGhana,GHA,2004,31.336817\nGhana,GHA,2005,31.84465\nGhana,GHA,2006,30.836794\nGhana,GHA,2007,32.114334\nGhana,GHA,2008,34.63676\nGhana,GHA,2009,40.490902\nGhana,GHA,2010,41.90005\nGhana,GHA,2011,55.035152\nGhana,GHA,2012,56.3735\nGhana,GHA,2013,59.63271\nGhana,GHA,2014,60.526993\nGhana,GHA,2015,72.17296\nGhana,GHA,2016,73.75972\nGhana,GHA,2017,73.756546\nGhana,GHA,2018,73.62599\nGhana,GHA,2019,79.99238\nGhana,GHA,2020,94.16067\nGhana,GHA,2021,103.08287\nGhana,GHA,2022,101.48766\nGhana,GHA,2023,106.71976\nGhana,GHA,2024,112.34843\n```\n\nHow much did primary energy consumption change for Ghana between 1990 and 2024?","response":"It moved from 17.75 TWh in 1990 to 112.35 TWh in 2024, a change of 94.6 TWh (+532.87%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nGhana,GHA,1990,17.75217\nGhana,GHA,1991,17.991909\nGhana,GHA,1992,19.896257\nGhana,GHA,1993,20.056784\nGhana,GHA,1994,21.41211\nGhana,GHA,1995,21.978289\nGhana,GHA,1996,22.803926\nGhana,GHA,1997,22.040474\nGhana,GHA,1998,20.276283\nGhana,GHA,1999,23.579569\nGhana,GHA,2000,28.607296\nGhana,GHA,2001,28.596634\nGhana,GHA,2002,28.444456\nGhana,GHA,2003,27.526648\nGhana,GHA,2004,31.336817\nGhana,GHA,2005,31.84465\nGhana,GHA,2006,30.836794\nGhana,GHA,2007,32.114334\nGhana,GHA,2008,34.63676\nGhana,GHA,2009,40.490902\nGhana,GHA,2010,41.90005\nGhana,GHA,2011,55.035152\nGhana,GHA,2012,56.3735\nGhana,GHA,2013,59.63271\nGhana,GHA,2014,60.526993\nGhana,GHA,2015,72.17296\nGhana,GHA,2016,73.75972\nGhana,GHA,2017,73.756546\nGhana,GHA,2018,73.62599\nGhana,GHA,2019,79.99238\nGhana,GHA,2020,94.16067\nGhana,GHA,2021,103.08287\nGhana,GHA,2022,101.48766\nGhana,GHA,2023,106.71976\nGhana,GHA,2024,112.34843\n```\n\nWas primary energy consumption in Ghana higher in 1997 or 2022?","response":"Higher in 2022. The chart gives 22.04 TWh for 1997 and 101.49 TWh for 2022, a difference of 79.45 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nGhana,GHA,1990,17.75217\nGhana,GHA,1991,17.991909\nGhana,GHA,1992,19.896257\nGhana,GHA,1993,20.056784\nGhana,GHA,1994,21.41211\nGhana,GHA,1995,21.978289\nGhana,GHA,1996,22.803926\nGhana,GHA,1997,22.040474\nGhana,GHA,1998,20.276283\nGhana,GHA,1999,23.579569\nGhana,GHA,2000,28.607296\nGhana,GHA,2001,28.596634\nGhana,GHA,2002,28.444456\nGhana,GHA,2003,27.526648\nGhana,GHA,2004,31.336817\nGhana,GHA,2005,31.84465\nGhana,GHA,2006,30.836794\nGhana,GHA,2007,32.114334\nGhana,GHA,2008,34.63676\nGhana,GHA,2009,40.490902\nGhana,GHA,2010,41.90005\nGhana,GHA,2011,55.035152\nGhana,GHA,2012,56.3735\nGhana,GHA,2013,59.63271\nGhana,GHA,2014,60.526993\nGhana,GHA,2015,72.17296\nGhana,GHA,2016,73.75972\nGhana,GHA,2017,73.756546\nGhana,GHA,2018,73.62599\nGhana,GHA,2019,79.99238\nGhana,GHA,2020,94.16067\nGhana,GHA,2021,103.08287\nGhana,GHA,2022,101.48766\nGhana,GHA,2023,106.71976\nGhana,GHA,2024,112.34843\n```\n\nAccording to this chart, what was primary energy consumption in Ghana in 2024?","response":"Reading the plotted point for 2024, primary energy consumption in Ghana was 112.35 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nGhana,GHA,1990,17.75217\nGhana,GHA,1991,17.991909\nGhana,GHA,1992,19.896257\nGhana,GHA,1993,20.056784\nGhana,GHA,1994,21.41211\nGhana,GHA,1995,21.978289\nGhana,GHA,1996,22.803926\nGhana,GHA,1997,22.040474\nGhana,GHA,1998,20.276283\nGhana,GHA,1999,23.579569\nGhana,GHA,2000,28.607296\nGhana,GHA,2001,28.596634\nGhana,GHA,2002,28.444456\nGhana,GHA,2003,27.526648\nGhana,GHA,2004,31.336817\nGhana,GHA,2005,31.84465\nGhana,GHA,2006,30.836794\nGhana,GHA,2007,32.114334\nGhana,GHA,2008,34.63676\nGhana,GHA,2009,40.490902\nGhana,GHA,2010,41.90005\nGhana,GHA,2011,55.035152\nGhana,GHA,2012,56.3735\nGhana,GHA,2013,59.63271\nGhana,GHA,2014,60.526993\nGhana,GHA,2015,72.17296\nGhana,GHA,2016,73.75972\nGhana,GHA,2017,73.756546\nGhana,GHA,2018,73.62599\nGhana,GHA,2019,79.99238\nGhana,GHA,2020,94.16067\nGhana,GHA,2021,103.08287\nGhana,GHA,2022,101.48766\nGhana,GHA,2023,106.71976\nGhana,GHA,2024,112.34843\n```\n\nIn which year shown does primary energy consumption reach its highest value for Ghana?","response":"The series peaks in 2024, at 112.35 TWh. The lowest point shown is 1990, at 17.75 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nGhana,GHA,1990,17.75217\nGhana,GHA,1991,17.991909\nGhana,GHA,1992,19.896257\nGhana,GHA,1993,20.056784\nGhana,GHA,1994,21.41211\nGhana,GHA,1995,21.978289\nGhana,GHA,1996,22.803926\nGhana,GHA,1997,22.040474\nGhana,GHA,1998,20.276283\nGhana,GHA,1999,23.579569\nGhana,GHA,2000,28.607296\nGhana,GHA,2001,28.596634\nGhana,GHA,2002,28.444456\nGhana,GHA,2003,27.526648\nGhana,GHA,2004,31.336817\nGhana,GHA,2005,31.84465\nGhana,GHA,2006,30.836794\nGhana,GHA,2007,32.114334\nGhana,GHA,2008,34.63676\nGhana,GHA,2009,40.490902\nGhana,GHA,2010,41.90005\nGhana,GHA,2011,55.035152\nGhana,GHA,2012,56.3735\nGhana,GHA,2013,59.63271\nGhana,GHA,2014,60.526993\nGhana,GHA,2015,72.17296\nGhana,GHA,2016,73.75972\nGhana,GHA,2017,73.756546\nGhana,GHA,2018,73.62599\nGhana,GHA,2019,79.99238\nGhana,GHA,2020,94.16067\nGhana,GHA,2021,103.08287\nGhana,GHA,2022,101.48766\nGhana,GHA,2023,106.71976\nGhana,GHA,2024,112.34843\n```\n\nHow much did primary energy consumption change for Ghana between 1990 and 2024?","response":"It moved from 17.75 TWh in 1990 to 112.35 TWh in 2024, a change of 94.6 TWh (+532.87%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nGhana,GHA,1990,17.75217\nGhana,GHA,1991,17.991909\nGhana,GHA,1992,19.896257\nGhana,GHA,1993,20.056784\nGhana,GHA,1994,21.41211\nGhana,GHA,1995,21.978289\nGhana,GHA,1996,22.803926\nGhana,GHA,1997,22.040474\nGhana,GHA,1998,20.276283\nGhana,GHA,1999,23.579569\nGhana,GHA,2000,28.607296\nGhana,GHA,2001,28.596634\nGhana,GHA,2002,28.444456\nGhana,GHA,2003,27.526648\nGhana,GHA,2004,31.336817\nGhana,GHA,2005,31.84465\nGhana,GHA,2006,30.836794\nGhana,GHA,2007,32.114334\nGhana,GHA,2008,34.63676\nGhana,GHA,2009,40.490902\nGhana,GHA,2010,41.90005\nGhana,GHA,2011,55.035152\nGhana,GHA,2012,56.3735\nGhana,GHA,2013,59.63271\nGhana,GHA,2014,60.526993\nGhana,GHA,2015,72.17296\nGhana,GHA,2016,73.75972\nGhana,GHA,2017,73.756546\nGhana,GHA,2018,73.62599\nGhana,GHA,2019,79.99238\nGhana,GHA,2020,94.16067\nGhana,GHA,2021,103.08287\nGhana,GHA,2022,101.48766\nGhana,GHA,2023,106.71976\nGhana,GHA,2024,112.34843\n```\n\nWas primary energy consumption in Ghana higher in 1997 or 2022?","response":"Higher in 2022. The chart gives 22.04 TWh for 1997 and 101.49 TWh for 2022, a difference of 79.45 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nGhana,GHA,1990,17.75217\nGhana,GHA,1991,17.991909\nGhana,GHA,1992,19.896257\nGhana,GHA,1993,20.056784\nGhana,GHA,1994,21.41211\nGhana,GHA,1995,21.978289\nGhana,GHA,1996,22.803926\nGhana,GHA,1997,22.040474\nGhana,GHA,1998,20.276283\nGhana,GHA,1999,23.579569\nGhana,GHA,2000,28.607296\nGhana,GHA,2001,28.596634\nGhana,GHA,2002,28.444456\nGhana,GHA,2003,27.526648\nGhana,GHA,2004,31.336817\nGhana,GHA,2005,31.84465\nGhana,GHA,2006,30.836794\nGhana,GHA,2007,32.114334\nGhana,GHA,2008,34.63676\nGhana,GHA,2009,40.490902\nGhana,GHA,2010,41.90005\nGhana,GHA,2011,55.035152\nGhana,GHA,2012,56.3735\nGhana,GHA,2013,59.63271\nGhana,GHA,2014,60.526993\nGhana,GHA,2015,72.17296\nGhana,GHA,2016,73.75972\nGhana,GHA,2017,73.756546\nGhana,GHA,2018,73.62599\nGhana,GHA,2019,79.99238\nGhana,GHA,2020,94.16067\nGhana,GHA,2021,103.08287\nGhana,GHA,2022,101.48766\nGhana,GHA,2023,106.71976\nGhana,GHA,2024,112.34843\n```\n\nThis chart makes the change in primary energy consumption for Ghana look dramatic. Is it?","response":"The values change by +532.87%, from 17.75 TWh to 112.35 TWh. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nGhana,GHA,1990,17.75217\nGhana,GHA,1991,17.991909\nGhana,GHA,1992,19.896257\nGhana,GHA,1993,20.056784\nGhana,GHA,1994,21.41211\nGhana,GHA,1995,21.978289\nGhana,GHA,1996,22.803926\nGhana,GHA,1997,22.040474\nGhana,GHA,1998,20.276283\nGhana,GHA,1999,23.579569\nGhana,GHA,2000,28.607296\nGhana,GHA,2001,28.596634\nGhana,GHA,2002,28.444456\nGhana,GHA,2003,27.526648\nGhana,GHA,2004,31.336817\nGhana,GHA,2005,31.84465\nGhana,GHA,2006,30.836794\nGhana,GHA,2007,32.114334\nGhana,GHA,2008,34.63676\nGhana,GHA,2009,40.490902\nGhana,GHA,2010,41.90005\nGhana,GHA,2011,55.035152\nGhana,GHA,2012,56.3735\nGhana,GHA,2013,59.63271\nGhana,GHA,2014,60.526993\nGhana,GHA,2015,72.17296\nGhana,GHA,2016,73.75972\nGhana,GHA,2017,73.756546\nGhana,GHA,2018,73.62599\nGhana,GHA,2019,79.99238\nGhana,GHA,2020,94.16067\nGhana,GHA,2021,103.08287\nGhana,GHA,2022,101.48766\nGhana,GHA,2023,106.71976\nGhana,GHA,2024,112.34843\n```\n\nWhat caused the change in primary energy consumption for Ghana around 2020?","response":"The chart shows that the change happened: primary energy consumption moves to 94.16 TWh in 2020. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Ghana__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nMalaysia,MYS,1990,241.54756\nMalaysia,MYS,1991,302.5099\nMalaysia,MYS,1992,341.2567\nMalaysia,MYS,1993,343.2871\nMalaysia,MYS,1994,364.53317\nMalaysia,MYS,1995,398.82907\nMalaysia,MYS,1996,445.20953\nMalaysia,MYS,1997,516.44635\nMalaysia,MYS,1998,496.45956\nMalaysia,MYS,1999,530.4586\nMalaysia,MYS,2000,612.3108\nMalaysia,MYS,2001,626.8919\nMalaysia,MYS,2002,660.2869\nMalaysia,MYS,2003,715.3271\nMalaysia,MYS,2004,772.9277\nMalaysia,MYS,2005,836.4248\nMalaysia,MYS,2006,845.20245\nMalaysia,MYS,2007,901.4497\nMalaysia,MYS,2008,934.6126\nMalaysia,MYS,2009,905.2376\nMalaysia,MYS,2010,935.1866\nMalaysia,MYS,2011,951.17084\nMalaysia,MYS,2012,1040.6786\nMalaysia,MYS,2013,1089.0438\nMalaysia,MYS,2014,1097.6156\nMalaysia,MYS,2015,1114.5747\nMalaysia,MYS,2016,1172.3032\nMalaysia,MYS,2017,1188.4911\nMalaysia,MYS,2018,1210.1298\nMalaysia,MYS,2019,1241.2979\nMalaysia,MYS,2020,1196.8951\nMalaysia,MYS,2021,1251.3339\nMalaysia,MYS,2022,1355.5088\nMalaysia,MYS,2023,1325.1256\nMalaysia,MYS,2024,1381.9797\n```\n\nAccording to this chart, what was primary energy consumption in Malaysia in 1997?","response":"Reading the plotted point for 1997, primary energy consumption in Malaysia was 516.45 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nMalaysia,MYS,1990,241.54756\nMalaysia,MYS,1991,302.5099\nMalaysia,MYS,1992,341.2567\nMalaysia,MYS,1993,343.2871\nMalaysia,MYS,1994,364.53317\nMalaysia,MYS,1995,398.82907\nMalaysia,MYS,1996,445.20953\nMalaysia,MYS,1997,516.44635\nMalaysia,MYS,1998,496.45956\nMalaysia,MYS,1999,530.4586\nMalaysia,MYS,2000,612.3108\nMalaysia,MYS,2001,626.8919\nMalaysia,MYS,2002,660.2869\nMalaysia,MYS,2003,715.3271\nMalaysia,MYS,2004,772.9277\nMalaysia,MYS,2005,836.4248\nMalaysia,MYS,2006,845.20245\nMalaysia,MYS,2007,901.4497\nMalaysia,MYS,2008,934.6126\nMalaysia,MYS,2009,905.2376\nMalaysia,MYS,2010,935.1866\nMalaysia,MYS,2011,951.17084\nMalaysia,MYS,2012,1040.6786\nMalaysia,MYS,2013,1089.0438\nMalaysia,MYS,2014,1097.6156\nMalaysia,MYS,2015,1114.5747\nMalaysia,MYS,2016,1172.3032\nMalaysia,MYS,2017,1188.4911\nMalaysia,MYS,2018,1210.1298\nMalaysia,MYS,2019,1241.2979\nMalaysia,MYS,2020,1196.8951\nMalaysia,MYS,2021,1251.3339\nMalaysia,MYS,2022,1355.5088\nMalaysia,MYS,2023,1325.1256\nMalaysia,MYS,2024,1381.9797\n```\n\nIn which year shown does primary energy consumption reach its highest value for Malaysia?","response":"The series peaks in 2024, at 1,381.98 TWh. The lowest point shown is 1990, at 241.55 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nMalaysia,MYS,1990,241.54756\nMalaysia,MYS,1991,302.5099\nMalaysia,MYS,1992,341.2567\nMalaysia,MYS,1993,343.2871\nMalaysia,MYS,1994,364.53317\nMalaysia,MYS,1995,398.82907\nMalaysia,MYS,1996,445.20953\nMalaysia,MYS,1997,516.44635\nMalaysia,MYS,1998,496.45956\nMalaysia,MYS,1999,530.4586\nMalaysia,MYS,2000,612.3108\nMalaysia,MYS,2001,626.8919\nMalaysia,MYS,2002,660.2869\nMalaysia,MYS,2003,715.3271\nMalaysia,MYS,2004,772.9277\nMalaysia,MYS,2005,836.4248\nMalaysia,MYS,2006,845.20245\nMalaysia,MYS,2007,901.4497\nMalaysia,MYS,2008,934.6126\nMalaysia,MYS,2009,905.2376\nMalaysia,MYS,2010,935.1866\nMalaysia,MYS,2011,951.17084\nMalaysia,MYS,2012,1040.6786\nMalaysia,MYS,2013,1089.0438\nMalaysia,MYS,2014,1097.6156\nMalaysia,MYS,2015,1114.5747\nMalaysia,MYS,2016,1172.3032\nMalaysia,MYS,2017,1188.4911\nMalaysia,MYS,2018,1210.1298\nMalaysia,MYS,2019,1241.2979\nMalaysia,MYS,2020,1196.8951\nMalaysia,MYS,2021,1251.3339\nMalaysia,MYS,2022,1355.5088\nMalaysia,MYS,2023,1325.1256\nMalaysia,MYS,2024,1381.9797\n```\n\nHow much did primary energy consumption change for Malaysia between 1990 and 2024?","response":"It moved from 241.55 TWh in 1990 to 1,381.98 TWh in 2024, a change of 1,140.43 TWh (+472.14%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nMalaysia,MYS,1990,241.54756\nMalaysia,MYS,1991,302.5099\nMalaysia,MYS,1992,341.2567\nMalaysia,MYS,1993,343.2871\nMalaysia,MYS,1994,364.53317\nMalaysia,MYS,1995,398.82907\nMalaysia,MYS,1996,445.20953\nMalaysia,MYS,1997,516.44635\nMalaysia,MYS,1998,496.45956\nMalaysia,MYS,1999,530.4586\nMalaysia,MYS,2000,612.3108\nMalaysia,MYS,2001,626.8919\nMalaysia,MYS,2002,660.2869\nMalaysia,MYS,2003,715.3271\nMalaysia,MYS,2004,772.9277\nMalaysia,MYS,2005,836.4248\nMalaysia,MYS,2006,845.20245\nMalaysia,MYS,2007,901.4497\nMalaysia,MYS,2008,934.6126\nMalaysia,MYS,2009,905.2376\nMalaysia,MYS,2010,935.1866\nMalaysia,MYS,2011,951.17084\nMalaysia,MYS,2012,1040.6786\nMalaysia,MYS,2013,1089.0438\nMalaysia,MYS,2014,1097.6156\nMalaysia,MYS,2015,1114.5747\nMalaysia,MYS,2016,1172.3032\nMalaysia,MYS,2017,1188.4911\nMalaysia,MYS,2018,1210.1298\nMalaysia,MYS,2019,1241.2979\nMalaysia,MYS,2020,1196.8951\nMalaysia,MYS,2021,1251.3339\nMalaysia,MYS,2022,1355.5088\nMalaysia,MYS,2023,1325.1256\nMalaysia,MYS,2024,1381.9797\n```\n\nWas primary energy consumption in Malaysia higher in 1998 or 2016?","response":"Higher in 2016. The chart gives 496.46 TWh for 1998 and 1,172.3 TWh for 2016, a difference of 675.84 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nMalaysia,MYS,1990,241.54756\nMalaysia,MYS,1991,302.5099\nMalaysia,MYS,1992,341.2567\nMalaysia,MYS,1993,343.2871\nMalaysia,MYS,1994,364.53317\nMalaysia,MYS,1995,398.82907\nMalaysia,MYS,1996,445.20953\nMalaysia,MYS,1997,516.44635\nMalaysia,MYS,1998,496.45956\nMalaysia,MYS,1999,530.4586\nMalaysia,MYS,2000,612.3108\nMalaysia,MYS,2001,626.8919\nMalaysia,MYS,2002,660.2869\nMalaysia,MYS,2003,715.3271\nMalaysia,MYS,2004,772.9277\nMalaysia,MYS,2005,836.4248\nMalaysia,MYS,2006,845.20245\nMalaysia,MYS,2007,901.4497\nMalaysia,MYS,2008,934.6126\nMalaysia,MYS,2009,905.2376\nMalaysia,MYS,2010,935.1866\nMalaysia,MYS,2011,951.17084\nMalaysia,MYS,2012,1040.6786\nMalaysia,MYS,2013,1089.0438\nMalaysia,MYS,2014,1097.6156\nMalaysia,MYS,2015,1114.5747\nMalaysia,MYS,2016,1172.3032\nMalaysia,MYS,2017,1188.4911\nMalaysia,MYS,2018,1210.1298\nMalaysia,MYS,2019,1241.2979\nMalaysia,MYS,2020,1196.8951\nMalaysia,MYS,2021,1251.3339\nMalaysia,MYS,2022,1355.5088\nMalaysia,MYS,2023,1325.1256\nMalaysia,MYS,2024,1381.9797\n```\n\nAccording to this chart, what was primary energy consumption in Malaysia in 1997?","response":"Reading the plotted point for 1997, primary energy consumption in Malaysia was 516.45 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nMalaysia,MYS,1990,241.54756\nMalaysia,MYS,1991,302.5099\nMalaysia,MYS,1992,341.2567\nMalaysia,MYS,1993,343.2871\nMalaysia,MYS,1994,364.53317\nMalaysia,MYS,1995,398.82907\nMalaysia,MYS,1996,445.20953\nMalaysia,MYS,1997,516.44635\nMalaysia,MYS,1998,496.45956\nMalaysia,MYS,1999,530.4586\nMalaysia,MYS,2000,612.3108\nMalaysia,MYS,2001,626.8919\nMalaysia,MYS,2002,660.2869\nMalaysia,MYS,2003,715.3271\nMalaysia,MYS,2004,772.9277\nMalaysia,MYS,2005,836.4248\nMalaysia,MYS,2006,845.20245\nMalaysia,MYS,2007,901.4497\nMalaysia,MYS,2008,934.6126\nMalaysia,MYS,2009,905.2376\nMalaysia,MYS,2010,935.1866\nMalaysia,MYS,2011,951.17084\nMalaysia,MYS,2012,1040.6786\nMalaysia,MYS,2013,1089.0438\nMalaysia,MYS,2014,1097.6156\nMalaysia,MYS,2015,1114.5747\nMalaysia,MYS,2016,1172.3032\nMalaysia,MYS,2017,1188.4911\nMalaysia,MYS,2018,1210.1298\nMalaysia,MYS,2019,1241.2979\nMalaysia,MYS,2020,1196.8951\nMalaysia,MYS,2021,1251.3339\nMalaysia,MYS,2022,1355.5088\nMalaysia,MYS,2023,1325.1256\nMalaysia,MYS,2024,1381.9797\n```\n\nIn which year shown does primary energy consumption reach its highest value for Malaysia?","response":"The series peaks in 2024, at 1,381.98 TWh. The lowest point shown is 1990, at 241.55 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nMalaysia,MYS,1990,241.54756\nMalaysia,MYS,1991,302.5099\nMalaysia,MYS,1992,341.2567\nMalaysia,MYS,1993,343.2871\nMalaysia,MYS,1994,364.53317\nMalaysia,MYS,1995,398.82907\nMalaysia,MYS,1996,445.20953\nMalaysia,MYS,1997,516.44635\nMalaysia,MYS,1998,496.45956\nMalaysia,MYS,1999,530.4586\nMalaysia,MYS,2000,612.3108\nMalaysia,MYS,2001,626.8919\nMalaysia,MYS,2002,660.2869\nMalaysia,MYS,2003,715.3271\nMalaysia,MYS,2004,772.9277\nMalaysia,MYS,2005,836.4248\nMalaysia,MYS,2006,845.20245\nMalaysia,MYS,2007,901.4497\nMalaysia,MYS,2008,934.6126\nMalaysia,MYS,2009,905.2376\nMalaysia,MYS,2010,935.1866\nMalaysia,MYS,2011,951.17084\nMalaysia,MYS,2012,1040.6786\nMalaysia,MYS,2013,1089.0438\nMalaysia,MYS,2014,1097.6156\nMalaysia,MYS,2015,1114.5747\nMalaysia,MYS,2016,1172.3032\nMalaysia,MYS,2017,1188.4911\nMalaysia,MYS,2018,1210.1298\nMalaysia,MYS,2019,1241.2979\nMalaysia,MYS,2020,1196.8951\nMalaysia,MYS,2021,1251.3339\nMalaysia,MYS,2022,1355.5088\nMalaysia,MYS,2023,1325.1256\nMalaysia,MYS,2024,1381.9797\n```\n\nHow much did primary energy consumption change for Malaysia between 1990 and 2024?","response":"It moved from 241.55 TWh in 1990 to 1,381.98 TWh in 2024, a change of 1,140.43 TWh (+472.14%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nMalaysia,MYS,1990,241.54756\nMalaysia,MYS,1991,302.5099\nMalaysia,MYS,1992,341.2567\nMalaysia,MYS,1993,343.2871\nMalaysia,MYS,1994,364.53317\nMalaysia,MYS,1995,398.82907\nMalaysia,MYS,1996,445.20953\nMalaysia,MYS,1997,516.44635\nMalaysia,MYS,1998,496.45956\nMalaysia,MYS,1999,530.4586\nMalaysia,MYS,2000,612.3108\nMalaysia,MYS,2001,626.8919\nMalaysia,MYS,2002,660.2869\nMalaysia,MYS,2003,715.3271\nMalaysia,MYS,2004,772.9277\nMalaysia,MYS,2005,836.4248\nMalaysia,MYS,2006,845.20245\nMalaysia,MYS,2007,901.4497\nMalaysia,MYS,2008,934.6126\nMalaysia,MYS,2009,905.2376\nMalaysia,MYS,2010,935.1866\nMalaysia,MYS,2011,951.17084\nMalaysia,MYS,2012,1040.6786\nMalaysia,MYS,2013,1089.0438\nMalaysia,MYS,2014,1097.6156\nMalaysia,MYS,2015,1114.5747\nMalaysia,MYS,2016,1172.3032\nMalaysia,MYS,2017,1188.4911\nMalaysia,MYS,2018,1210.1298\nMalaysia,MYS,2019,1241.2979\nMalaysia,MYS,2020,1196.8951\nMalaysia,MYS,2021,1251.3339\nMalaysia,MYS,2022,1355.5088\nMalaysia,MYS,2023,1325.1256\nMalaysia,MYS,2024,1381.9797\n```\n\nWas primary energy consumption in Malaysia higher in 1998 or 2016?","response":"Higher in 2016. The chart gives 496.46 TWh for 1998 and 1,172.3 TWh for 2016, a difference of 675.84 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nMalaysia,MYS,1990,241.54756\nMalaysia,MYS,1991,302.5099\nMalaysia,MYS,1992,341.2567\nMalaysia,MYS,1993,343.2871\nMalaysia,MYS,1994,364.53317\nMalaysia,MYS,1995,398.82907\nMalaysia,MYS,1996,445.20953\nMalaysia,MYS,1997,516.44635\nMalaysia,MYS,1998,496.45956\nMalaysia,MYS,1999,530.4586\nMalaysia,MYS,2000,612.3108\nMalaysia,MYS,2001,626.8919\nMalaysia,MYS,2002,660.2869\nMalaysia,MYS,2003,715.3271\nMalaysia,MYS,2004,772.9277\nMalaysia,MYS,2005,836.4248\nMalaysia,MYS,2006,845.20245\nMalaysia,MYS,2007,901.4497\nMalaysia,MYS,2008,934.6126\nMalaysia,MYS,2009,905.2376\nMalaysia,MYS,2010,935.1866\nMalaysia,MYS,2011,951.17084\nMalaysia,MYS,2012,1040.6786\nMalaysia,MYS,2013,1089.0438\nMalaysia,MYS,2014,1097.6156\nMalaysia,MYS,2015,1114.5747\nMalaysia,MYS,2016,1172.3032\nMalaysia,MYS,2017,1188.4911\nMalaysia,MYS,2018,1210.1298\nMalaysia,MYS,2019,1241.2979\nMalaysia,MYS,2020,1196.8951\nMalaysia,MYS,2021,1251.3339\nMalaysia,MYS,2022,1355.5088\nMalaysia,MYS,2023,1325.1256\nMalaysia,MYS,2024,1381.9797\n```\n\nBased on this chart, is primary energy consumption in Malaysia rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 241.55 TWh to 1,381.98 TWh, a change of +472.14%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nMalaysia,MYS,1990,241.54756\nMalaysia,MYS,1991,302.5099\nMalaysia,MYS,1992,341.2567\nMalaysia,MYS,1993,343.2871\nMalaysia,MYS,1994,364.53317\nMalaysia,MYS,1995,398.82907\nMalaysia,MYS,1996,445.20953\nMalaysia,MYS,1997,516.44635\nMalaysia,MYS,1998,496.45956\nMalaysia,MYS,1999,530.4586\nMalaysia,MYS,2000,612.3108\nMalaysia,MYS,2001,626.8919\nMalaysia,MYS,2002,660.2869\nMalaysia,MYS,2003,715.3271\nMalaysia,MYS,2004,772.9277\nMalaysia,MYS,2005,836.4248\nMalaysia,MYS,2006,845.20245\nMalaysia,MYS,2007,901.4497\nMalaysia,MYS,2008,934.6126\nMalaysia,MYS,2009,905.2376\nMalaysia,MYS,2010,935.1866\nMalaysia,MYS,2011,951.17084\nMalaysia,MYS,2012,1040.6786\nMalaysia,MYS,2013,1089.0438\nMalaysia,MYS,2014,1097.6156\nMalaysia,MYS,2015,1114.5747\nMalaysia,MYS,2016,1172.3032\nMalaysia,MYS,2017,1188.4911\nMalaysia,MYS,2018,1210.1298\nMalaysia,MYS,2019,1241.2979\nMalaysia,MYS,2020,1196.8951\nMalaysia,MYS,2021,1251.3339\nMalaysia,MYS,2022,1355.5088\nMalaysia,MYS,2023,1325.1256\nMalaysia,MYS,2024,1381.9797\n```\n\nThis chart makes the change in primary energy consumption for Malaysia look dramatic. Is it?","response":"The values change by +472.14%, from 241.55 TWh to 1,381.98 TWh. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nMalaysia,MYS,1990,241.54756\nMalaysia,MYS,1991,302.5099\nMalaysia,MYS,1992,341.2567\nMalaysia,MYS,1993,343.2871\nMalaysia,MYS,1994,364.53317\nMalaysia,MYS,1995,398.82907\nMalaysia,MYS,1996,445.20953\nMalaysia,MYS,1997,516.44635\nMalaysia,MYS,1998,496.45956\nMalaysia,MYS,1999,530.4586\nMalaysia,MYS,2000,612.3108\nMalaysia,MYS,2001,626.8919\nMalaysia,MYS,2002,660.2869\nMalaysia,MYS,2003,715.3271\nMalaysia,MYS,2004,772.9277\nMalaysia,MYS,2005,836.4248\nMalaysia,MYS,2006,845.20245\nMalaysia,MYS,2007,901.4497\nMalaysia,MYS,2008,934.6126\nMalaysia,MYS,2009,905.2376\nMalaysia,MYS,2010,935.1866\nMalaysia,MYS,2011,951.17084\nMalaysia,MYS,2012,1040.6786\nMalaysia,MYS,2013,1089.0438\nMalaysia,MYS,2014,1097.6156\nMalaysia,MYS,2015,1114.5747\nMalaysia,MYS,2016,1172.3032\nMalaysia,MYS,2017,1188.4911\nMalaysia,MYS,2018,1210.1298\nMalaysia,MYS,2019,1241.2979\nMalaysia,MYS,2020,1196.8951\nMalaysia,MYS,2021,1251.3339\nMalaysia,MYS,2022,1355.5088\nMalaysia,MYS,2023,1325.1256\nMalaysia,MYS,2024,1381.9797\n```\n\nHow does Malaysia compare with Poland on this measure?","response":"This chart covers Malaysia only, so Poland is not plotted and I cannot compare them from it. The chart does support statements about Malaysia on its own: the series runs from 241.55 TWh in 1990 to 1,381.98 TWh in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Malaysia__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nPortugal,PRT,1990,202.6525\nPortugal,PRT,1991,210.48746\nPortugal,PRT,1992,214.64984\nPortugal,PRT,1993,220.11699\nPortugal,PRT,1994,229.92426\nPortugal,PRT,1995,244.81146\nPortugal,PRT,1996,252.3608\nPortugal,PRT,1997,256.37534\nPortugal,PRT,1998,279.4924\nPortugal,PRT,1999,285.07568\nPortugal,PRT,2000,294.02853\nPortugal,PRT,2001,298.77747\nPortugal,PRT,2002,296.89145\nPortugal,PRT,2003,305.17673\nPortugal,PRT,2004,298.75143\nPortugal,PRT,2005,298.26312\nPortugal,PRT,2006,295.8744\nPortugal,PRT,2007,297.49106\nPortugal,PRT,2008,285.50482\nPortugal,PRT,2009,288.23376\nPortugal,PRT,2010,304.1046\nPortugal,PRT,2011,289.8307\nPortugal,PRT,2012,264.46677\nPortugal,PRT,2013,289.6614\nPortugal,PRT,2014,291.77362\nPortugal,PRT,2015,289.52225\nPortugal,PRT,2016,309.8667\nPortugal,PRT,2017,301.8779\nPortugal,PRT,2018,304.0898\nPortugal,PRT,2019,293.05664\nPortugal,PRT,2020,265.24768\nPortugal,PRT,2021,266.48996\nPortugal,PRT,2022,262.57968\nPortugal,PRT,2023,265.97018\nPortugal,PRT,2024,270.24222\n```\n\nAccording to this chart, what was primary energy consumption in Portugal in 1997?","response":"Reading the plotted point for 1997, primary energy consumption in Portugal was 256.38 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nPortugal,PRT,1990,202.6525\nPortugal,PRT,1991,210.48746\nPortugal,PRT,1992,214.64984\nPortugal,PRT,1993,220.11699\nPortugal,PRT,1994,229.92426\nPortugal,PRT,1995,244.81146\nPortugal,PRT,1996,252.3608\nPortugal,PRT,1997,256.37534\nPortugal,PRT,1998,279.4924\nPortugal,PRT,1999,285.07568\nPortugal,PRT,2000,294.02853\nPortugal,PRT,2001,298.77747\nPortugal,PRT,2002,296.89145\nPortugal,PRT,2003,305.17673\nPortugal,PRT,2004,298.75143\nPortugal,PRT,2005,298.26312\nPortugal,PRT,2006,295.8744\nPortugal,PRT,2007,297.49106\nPortugal,PRT,2008,285.50482\nPortugal,PRT,2009,288.23376\nPortugal,PRT,2010,304.1046\nPortugal,PRT,2011,289.8307\nPortugal,PRT,2012,264.46677\nPortugal,PRT,2013,289.6614\nPortugal,PRT,2014,291.77362\nPortugal,PRT,2015,289.52225\nPortugal,PRT,2016,309.8667\nPortugal,PRT,2017,301.8779\nPortugal,PRT,2018,304.0898\nPortugal,PRT,2019,293.05664\nPortugal,PRT,2020,265.24768\nPortugal,PRT,2021,266.48996\nPortugal,PRT,2022,262.57968\nPortugal,PRT,2023,265.97018\nPortugal,PRT,2024,270.24222\n```\n\nIn which year shown does primary energy consumption reach its highest value for Portugal?","response":"The series peaks in 2016, at 309.87 TWh. The lowest point shown is 1990, at 202.65 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nPortugal,PRT,1990,202.6525\nPortugal,PRT,1991,210.48746\nPortugal,PRT,1992,214.64984\nPortugal,PRT,1993,220.11699\nPortugal,PRT,1994,229.92426\nPortugal,PRT,1995,244.81146\nPortugal,PRT,1996,252.3608\nPortugal,PRT,1997,256.37534\nPortugal,PRT,1998,279.4924\nPortugal,PRT,1999,285.07568\nPortugal,PRT,2000,294.02853\nPortugal,PRT,2001,298.77747\nPortugal,PRT,2002,296.89145\nPortugal,PRT,2003,305.17673\nPortugal,PRT,2004,298.75143\nPortugal,PRT,2005,298.26312\nPortugal,PRT,2006,295.8744\nPortugal,PRT,2007,297.49106\nPortugal,PRT,2008,285.50482\nPortugal,PRT,2009,288.23376\nPortugal,PRT,2010,304.1046\nPortugal,PRT,2011,289.8307\nPortugal,PRT,2012,264.46677\nPortugal,PRT,2013,289.6614\nPortugal,PRT,2014,291.77362\nPortugal,PRT,2015,289.52225\nPortugal,PRT,2016,309.8667\nPortugal,PRT,2017,301.8779\nPortugal,PRT,2018,304.0898\nPortugal,PRT,2019,293.05664\nPortugal,PRT,2020,265.24768\nPortugal,PRT,2021,266.48996\nPortugal,PRT,2022,262.57968\nPortugal,PRT,2023,265.97018\nPortugal,PRT,2024,270.24222\n```\n\nHow much did primary energy consumption change for Portugal between 1990 and 2024?","response":"It moved from 202.65 TWh in 1990 to 270.24 TWh in 2024, a change of 67.59 TWh (+33.35%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nPortugal,PRT,1990,202.6525\nPortugal,PRT,1991,210.48746\nPortugal,PRT,1992,214.64984\nPortugal,PRT,1993,220.11699\nPortugal,PRT,1994,229.92426\nPortugal,PRT,1995,244.81146\nPortugal,PRT,1996,252.3608\nPortugal,PRT,1997,256.37534\nPortugal,PRT,1998,279.4924\nPortugal,PRT,1999,285.07568\nPortugal,PRT,2000,294.02853\nPortugal,PRT,2001,298.77747\nPortugal,PRT,2002,296.89145\nPortugal,PRT,2003,305.17673\nPortugal,PRT,2004,298.75143\nPortugal,PRT,2005,298.26312\nPortugal,PRT,2006,295.8744\nPortugal,PRT,2007,297.49106\nPortugal,PRT,2008,285.50482\nPortugal,PRT,2009,288.23376\nPortugal,PRT,2010,304.1046\nPortugal,PRT,2011,289.8307\nPortugal,PRT,2012,264.46677\nPortugal,PRT,2013,289.6614\nPortugal,PRT,2014,291.77362\nPortugal,PRT,2015,289.52225\nPortugal,PRT,2016,309.8667\nPortugal,PRT,2017,301.8779\nPortugal,PRT,2018,304.0898\nPortugal,PRT,2019,293.05664\nPortugal,PRT,2020,265.24768\nPortugal,PRT,2021,266.48996\nPortugal,PRT,2022,262.57968\nPortugal,PRT,2023,265.97018\nPortugal,PRT,2024,270.24222\n```\n\nWas primary energy consumption in Portugal higher in 1996 or 2015?","response":"Higher in 2015. The chart gives 252.36 TWh for 1996 and 289.52 TWh for 2015, a difference of 37.16 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nPortugal,PRT,1990,202.6525\nPortugal,PRT,1991,210.48746\nPortugal,PRT,1992,214.64984\nPortugal,PRT,1993,220.11699\nPortugal,PRT,1994,229.92426\nPortugal,PRT,1995,244.81146\nPortugal,PRT,1996,252.3608\nPortugal,PRT,1997,256.37534\nPortugal,PRT,1998,279.4924\nPortugal,PRT,1999,285.07568\nPortugal,PRT,2000,294.02853\nPortugal,PRT,2001,298.77747\nPortugal,PRT,2002,296.89145\nPortugal,PRT,2003,305.17673\nPortugal,PRT,2004,298.75143\nPortugal,PRT,2005,298.26312\nPortugal,PRT,2006,295.8744\nPortugal,PRT,2007,297.49106\nPortugal,PRT,2008,285.50482\nPortugal,PRT,2009,288.23376\nPortugal,PRT,2010,304.1046\nPortugal,PRT,2011,289.8307\nPortugal,PRT,2012,264.46677\nPortugal,PRT,2013,289.6614\nPortugal,PRT,2014,291.77362\nPortugal,PRT,2015,289.52225\nPortugal,PRT,2016,309.8667\nPortugal,PRT,2017,301.8779\nPortugal,PRT,2018,304.0898\nPortugal,PRT,2019,293.05664\nPortugal,PRT,2020,265.24768\nPortugal,PRT,2021,266.48996\nPortugal,PRT,2022,262.57968\nPortugal,PRT,2023,265.97018\nPortugal,PRT,2024,270.24222\n```\n\nAccording to this chart, what was primary energy consumption in Portugal in 1997?","response":"Reading the plotted point for 1997, primary energy consumption in Portugal was 256.38 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nPortugal,PRT,1990,202.6525\nPortugal,PRT,1991,210.48746\nPortugal,PRT,1992,214.64984\nPortugal,PRT,1993,220.11699\nPortugal,PRT,1994,229.92426\nPortugal,PRT,1995,244.81146\nPortugal,PRT,1996,252.3608\nPortugal,PRT,1997,256.37534\nPortugal,PRT,1998,279.4924\nPortugal,PRT,1999,285.07568\nPortugal,PRT,2000,294.02853\nPortugal,PRT,2001,298.77747\nPortugal,PRT,2002,296.89145\nPortugal,PRT,2003,305.17673\nPortugal,PRT,2004,298.75143\nPortugal,PRT,2005,298.26312\nPortugal,PRT,2006,295.8744\nPortugal,PRT,2007,297.49106\nPortugal,PRT,2008,285.50482\nPortugal,PRT,2009,288.23376\nPortugal,PRT,2010,304.1046\nPortugal,PRT,2011,289.8307\nPortugal,PRT,2012,264.46677\nPortugal,PRT,2013,289.6614\nPortugal,PRT,2014,291.77362\nPortugal,PRT,2015,289.52225\nPortugal,PRT,2016,309.8667\nPortugal,PRT,2017,301.8779\nPortugal,PRT,2018,304.0898\nPortugal,PRT,2019,293.05664\nPortugal,PRT,2020,265.24768\nPortugal,PRT,2021,266.48996\nPortugal,PRT,2022,262.57968\nPortugal,PRT,2023,265.97018\nPortugal,PRT,2024,270.24222\n```\n\nIn which year shown does primary energy consumption reach its highest value for Portugal?","response":"The series peaks in 2016, at 309.87 TWh. The lowest point shown is 1990, at 202.65 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nPortugal,PRT,1990,202.6525\nPortugal,PRT,1991,210.48746\nPortugal,PRT,1992,214.64984\nPortugal,PRT,1993,220.11699\nPortugal,PRT,1994,229.92426\nPortugal,PRT,1995,244.81146\nPortugal,PRT,1996,252.3608\nPortugal,PRT,1997,256.37534\nPortugal,PRT,1998,279.4924\nPortugal,PRT,1999,285.07568\nPortugal,PRT,2000,294.02853\nPortugal,PRT,2001,298.77747\nPortugal,PRT,2002,296.89145\nPortugal,PRT,2003,305.17673\nPortugal,PRT,2004,298.75143\nPortugal,PRT,2005,298.26312\nPortugal,PRT,2006,295.8744\nPortugal,PRT,2007,297.49106\nPortugal,PRT,2008,285.50482\nPortugal,PRT,2009,288.23376\nPortugal,PRT,2010,304.1046\nPortugal,PRT,2011,289.8307\nPortugal,PRT,2012,264.46677\nPortugal,PRT,2013,289.6614\nPortugal,PRT,2014,291.77362\nPortugal,PRT,2015,289.52225\nPortugal,PRT,2016,309.8667\nPortugal,PRT,2017,301.8779\nPortugal,PRT,2018,304.0898\nPortugal,PRT,2019,293.05664\nPortugal,PRT,2020,265.24768\nPortugal,PRT,2021,266.48996\nPortugal,PRT,2022,262.57968\nPortugal,PRT,2023,265.97018\nPortugal,PRT,2024,270.24222\n```\n\nHow much did primary energy consumption change for Portugal between 1990 and 2024?","response":"It moved from 202.65 TWh in 1990 to 270.24 TWh in 2024, a change of 67.59 TWh (+33.35%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nPortugal,PRT,1990,202.6525\nPortugal,PRT,1991,210.48746\nPortugal,PRT,1992,214.64984\nPortugal,PRT,1993,220.11699\nPortugal,PRT,1994,229.92426\nPortugal,PRT,1995,244.81146\nPortugal,PRT,1996,252.3608\nPortugal,PRT,1997,256.37534\nPortugal,PRT,1998,279.4924\nPortugal,PRT,1999,285.07568\nPortugal,PRT,2000,294.02853\nPortugal,PRT,2001,298.77747\nPortugal,PRT,2002,296.89145\nPortugal,PRT,2003,305.17673\nPortugal,PRT,2004,298.75143\nPortugal,PRT,2005,298.26312\nPortugal,PRT,2006,295.8744\nPortugal,PRT,2007,297.49106\nPortugal,PRT,2008,285.50482\nPortugal,PRT,2009,288.23376\nPortugal,PRT,2010,304.1046\nPortugal,PRT,2011,289.8307\nPortugal,PRT,2012,264.46677\nPortugal,PRT,2013,289.6614\nPortugal,PRT,2014,291.77362\nPortugal,PRT,2015,289.52225\nPortugal,PRT,2016,309.8667\nPortugal,PRT,2017,301.8779\nPortugal,PRT,2018,304.0898\nPortugal,PRT,2019,293.05664\nPortugal,PRT,2020,265.24768\nPortugal,PRT,2021,266.48996\nPortugal,PRT,2022,262.57968\nPortugal,PRT,2023,265.97018\nPortugal,PRT,2024,270.24222\n```\n\nWas primary energy consumption in Portugal higher in 1996 or 2015?","response":"Higher in 2015. The chart gives 252.36 TWh for 1996 and 289.52 TWh for 2015, a difference of 37.16 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nPortugal,PRT,1990,202.6525\nPortugal,PRT,1991,210.48746\nPortugal,PRT,1992,214.64984\nPortugal,PRT,1993,220.11699\nPortugal,PRT,1994,229.92426\nPortugal,PRT,1995,244.81146\nPortugal,PRT,1996,252.3608\nPortugal,PRT,1997,256.37534\nPortugal,PRT,1998,279.4924\nPortugal,PRT,1999,285.07568\nPortugal,PRT,2000,294.02853\nPortugal,PRT,2001,298.77747\nPortugal,PRT,2002,296.89145\nPortugal,PRT,2003,305.17673\nPortugal,PRT,2004,298.75143\nPortugal,PRT,2005,298.26312\nPortugal,PRT,2006,295.8744\nPortugal,PRT,2007,297.49106\nPortugal,PRT,2008,285.50482\nPortugal,PRT,2009,288.23376\nPortugal,PRT,2010,304.1046\nPortugal,PRT,2011,289.8307\nPortugal,PRT,2012,264.46677\nPortugal,PRT,2013,289.6614\nPortugal,PRT,2014,291.77362\nPortugal,PRT,2015,289.52225\nPortugal,PRT,2016,309.8667\nPortugal,PRT,2017,301.8779\nPortugal,PRT,2018,304.0898\nPortugal,PRT,2019,293.05664\nPortugal,PRT,2020,265.24768\nPortugal,PRT,2021,266.48996\nPortugal,PRT,2022,262.57968\nPortugal,PRT,2023,265.97018\nPortugal,PRT,2024,270.24222\n```\n\nThis chart makes the change in primary energy consumption for Portugal look dramatic. Is it?","response":"The values change by +33.35%, from 202.65 TWh to 270.24 TWh. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nPortugal,PRT,1990,202.6525\nPortugal,PRT,1991,210.48746\nPortugal,PRT,1992,214.64984\nPortugal,PRT,1993,220.11699\nPortugal,PRT,1994,229.92426\nPortugal,PRT,1995,244.81146\nPortugal,PRT,1996,252.3608\nPortugal,PRT,1997,256.37534\nPortugal,PRT,1998,279.4924\nPortugal,PRT,1999,285.07568\nPortugal,PRT,2000,294.02853\nPortugal,PRT,2001,298.77747\nPortugal,PRT,2002,296.89145\nPortugal,PRT,2003,305.17673\nPortugal,PRT,2004,298.75143\nPortugal,PRT,2005,298.26312\nPortugal,PRT,2006,295.8744\nPortugal,PRT,2007,297.49106\nPortugal,PRT,2008,285.50482\nPortugal,PRT,2009,288.23376\nPortugal,PRT,2010,304.1046\nPortugal,PRT,2011,289.8307\nPortugal,PRT,2012,264.46677\nPortugal,PRT,2013,289.6614\nPortugal,PRT,2014,291.77362\nPortugal,PRT,2015,289.52225\nPortugal,PRT,2016,309.8667\nPortugal,PRT,2017,301.8779\nPortugal,PRT,2018,304.0898\nPortugal,PRT,2019,293.05664\nPortugal,PRT,2020,265.24768\nPortugal,PRT,2021,266.48996\nPortugal,PRT,2022,262.57968\nPortugal,PRT,2023,265.97018\nPortugal,PRT,2024,270.24222\n```\n\nThis chart appears to show primary energy consumption in Portugal rising steeply. How large is the increase actually?","response":"The plotted values run from 202.65 TWh to 270.24 TWh, so the actual change is +33.35%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 200.4836 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nPortugal,PRT,2016,309.8667\nPortugal,PRT,2017,301.8779\nPortugal,PRT,2018,304.0898\nPortugal,PRT,2019,293.05664\nPortugal,PRT,2020,265.24768\nPortugal,PRT,2021,266.48996\nPortugal,PRT,2022,262.57968\nPortugal,PRT,2023,265.97018\nPortugal,PRT,2024,270.24222\n```\n\nWhat does this chart suggest about the long-run direction of primary energy consumption in Portugal?","response":"Within the window shown (2016-2024) the series moves -12.79%, but that window runs against the longer record. Across the full series (1990-2024) the change is +33.35%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Primary energy consumption\nPortugal,PRT,1990,202.6525\nPortugal,PRT,1991,210.48746\nPortugal,PRT,1992,214.64984\nPortugal,PRT,1993,220.11699\nPortugal,PRT,1994,229.92426\nPortugal,PRT,1995,244.81146\nPortugal,PRT,1996,252.3608\nPortugal,PRT,1997,256.37534\nPortugal,PRT,1998,279.4924\nPortugal,PRT,1999,285.07568\nPortugal,PRT,2000,294.02853\nPortugal,PRT,2001,298.77747\nPortugal,PRT,2002,296.89145\nPortugal,PRT,2003,305.17673\nPortugal,PRT,2004,298.75143\nPortugal,PRT,2005,298.26312\nPortugal,PRT,2006,295.8744\nPortugal,PRT,2007,297.49106\nPortugal,PRT,2008,285.50482\nPortugal,PRT,2009,288.23376\nPortugal,PRT,2010,304.1046\nPortugal,PRT,2011,289.8307\nPortugal,PRT,2012,264.46677\nPortugal,PRT,2013,289.6614\nPortugal,PRT,2014,291.77362\nPortugal,PRT,2015,289.52225\nPortugal,PRT,2016,309.8667\nPortugal,PRT,2017,301.8779\nPortugal,PRT,2018,304.0898\nPortugal,PRT,2019,293.05664\nPortugal,PRT,2020,265.24768\nPortugal,PRT,2021,266.48996\nPortugal,PRT,2022,262.57968\nPortugal,PRT,2023,265.97018\nPortugal,PRT,2024,270.24222\n```\n\nWhat was primary energy consumption for Portugal in 1975?","response":"That year is outside this chart. The series runs 1990 to 2024, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 202.65 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/primary-energy-cons__Portugal__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Primary energy consumption","source_citation":"U.S. Energy Information Administration (2026); Energy Institute - Statistical Review of World Energy (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/primary-energy-cons?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPortugal,PRT,1990,0.26462543\nPortugal,PRT,1991,0.26395085\nPortugal,PRT,1992,0.27701193\nPortugal,PRT,1993,0.2697649\nPortugal,PRT,1994,0.2689826\nPortugal,PRT,1995,0.2842717\nPortugal,PRT,1996,0.26001713\nPortugal,PRT,1997,0.26176593\nPortugal,PRT,1998,0.2694957\nPortugal,PRT,1999,0.29185346\nPortugal,PRT,2000,0.27435347\nPortugal,PRT,2001,0.26678053\nPortugal,PRT,2002,0.28149357\nPortugal,PRT,2003,0.26228502\nPortugal,PRT,2004,0.2678385\nPortugal,PRT,2005,0.27395996\nPortugal,PRT,2006,0.2502552\nPortugal,PRT,2007,0.23392835\nPortugal,PRT,2008,0.22371687\nPortugal,PRT,2009,0.21872725\nPortugal,PRT,2010,0.19788405\nPortugal,PRT,2011,0.1965784\nPortugal,PRT,2012,0.19756487\nPortugal,PRT,2013,0.19227313\nPortugal,PRT,2014,0.18995419\nPortugal,PRT,2015,0.20331113\nPortugal,PRT,2016,0.19195305\nPortugal,PRT,2017,0.20334361\nPortugal,PRT,2018,0.18400195\nPortugal,PRT,2019,0.16608065\nPortugal,PRT,2020,0.15886675\nPortugal,PRT,2021,0.14539166\nPortugal,PRT,2022,0.13770957\n```\n\nAccording to this chart, what was annual co\u2082 emissions per gdp (kg per international-$) in Portugal in 1994?","response":"Reading the plotted point for 1994, annual co\u2082 emissions per gdp (kg per international-$) in Portugal was 0.27 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPortugal,PRT,1990,0.26462543\nPortugal,PRT,1991,0.26395085\nPortugal,PRT,1992,0.27701193\nPortugal,PRT,1993,0.2697649\nPortugal,PRT,1994,0.2689826\nPortugal,PRT,1995,0.2842717\nPortugal,PRT,1996,0.26001713\nPortugal,PRT,1997,0.26176593\nPortugal,PRT,1998,0.2694957\nPortugal,PRT,1999,0.29185346\nPortugal,PRT,2000,0.27435347\nPortugal,PRT,2001,0.26678053\nPortugal,PRT,2002,0.28149357\nPortugal,PRT,2003,0.26228502\nPortugal,PRT,2004,0.2678385\nPortugal,PRT,2005,0.27395996\nPortugal,PRT,2006,0.2502552\nPortugal,PRT,2007,0.23392835\nPortugal,PRT,2008,0.22371687\nPortugal,PRT,2009,0.21872725\nPortugal,PRT,2010,0.19788405\nPortugal,PRT,2011,0.1965784\nPortugal,PRT,2012,0.19756487\nPortugal,PRT,2013,0.19227313\nPortugal,PRT,2014,0.18995419\nPortugal,PRT,2015,0.20331113\nPortugal,PRT,2016,0.19195305\nPortugal,PRT,2017,0.20334361\nPortugal,PRT,2018,0.18400195\nPortugal,PRT,2019,0.16608065\nPortugal,PRT,2020,0.15886675\nPortugal,PRT,2021,0.14539166\nPortugal,PRT,2022,0.13770957\n```\n\nIn which year shown does annual co\u2082 emissions per gdp (kg per international-$) reach its highest value for Portugal?","response":"The series peaks in 1999, at 0.29 kg\/$. The lowest point shown is 2022, at 0.14 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPortugal,PRT,1990,0.26462543\nPortugal,PRT,1991,0.26395085\nPortugal,PRT,1992,0.27701193\nPortugal,PRT,1993,0.2697649\nPortugal,PRT,1994,0.2689826\nPortugal,PRT,1995,0.2842717\nPortugal,PRT,1996,0.26001713\nPortugal,PRT,1997,0.26176593\nPortugal,PRT,1998,0.2694957\nPortugal,PRT,1999,0.29185346\nPortugal,PRT,2000,0.27435347\nPortugal,PRT,2001,0.26678053\nPortugal,PRT,2002,0.28149357\nPortugal,PRT,2003,0.26228502\nPortugal,PRT,2004,0.2678385\nPortugal,PRT,2005,0.27395996\nPortugal,PRT,2006,0.2502552\nPortugal,PRT,2007,0.23392835\nPortugal,PRT,2008,0.22371687\nPortugal,PRT,2009,0.21872725\nPortugal,PRT,2010,0.19788405\nPortugal,PRT,2011,0.1965784\nPortugal,PRT,2012,0.19756487\nPortugal,PRT,2013,0.19227313\nPortugal,PRT,2014,0.18995419\nPortugal,PRT,2015,0.20331113\nPortugal,PRT,2016,0.19195305\nPortugal,PRT,2017,0.20334361\nPortugal,PRT,2018,0.18400195\nPortugal,PRT,2019,0.16608065\nPortugal,PRT,2020,0.15886675\nPortugal,PRT,2021,0.14539166\nPortugal,PRT,2022,0.13770957\n```\n\nHow much did annual co\u2082 emissions per gdp (kg per international-$) change for Portugal between 1990 and 2022?","response":"It moved from 0.26 kg\/$ in 1990 to 0.14 kg\/$ in 2022, a change of -0.13 kg\/$ (-47.96%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPortugal,PRT,1990,0.26462543\nPortugal,PRT,1991,0.26395085\nPortugal,PRT,1992,0.27701193\nPortugal,PRT,1993,0.2697649\nPortugal,PRT,1994,0.2689826\nPortugal,PRT,1995,0.2842717\nPortugal,PRT,1996,0.26001713\nPortugal,PRT,1997,0.26176593\nPortugal,PRT,1998,0.2694957\nPortugal,PRT,1999,0.29185346\nPortugal,PRT,2000,0.27435347\nPortugal,PRT,2001,0.26678053\nPortugal,PRT,2002,0.28149357\nPortugal,PRT,2003,0.26228502\nPortugal,PRT,2004,0.2678385\nPortugal,PRT,2005,0.27395996\nPortugal,PRT,2006,0.2502552\nPortugal,PRT,2007,0.23392835\nPortugal,PRT,2008,0.22371687\nPortugal,PRT,2009,0.21872725\nPortugal,PRT,2010,0.19788405\nPortugal,PRT,2011,0.1965784\nPortugal,PRT,2012,0.19756487\nPortugal,PRT,2013,0.19227313\nPortugal,PRT,2014,0.18995419\nPortugal,PRT,2015,0.20331113\nPortugal,PRT,2016,0.19195305\nPortugal,PRT,2017,0.20334361\nPortugal,PRT,2018,0.18400195\nPortugal,PRT,2019,0.16608065\nPortugal,PRT,2020,0.15886675\nPortugal,PRT,2021,0.14539166\nPortugal,PRT,2022,0.13770957\n```\n\nWas annual co\u2082 emissions per gdp (kg per international-$) in Portugal higher in 2001 or 2007?","response":"Higher in 2001. The chart gives 0.27 kg\/$ for 2001 and 0.23 kg\/$ for 2007, a difference of 0.03 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPortugal,PRT,1990,0.26462543\nPortugal,PRT,1991,0.26395085\nPortugal,PRT,1992,0.27701193\nPortugal,PRT,1993,0.2697649\nPortugal,PRT,1994,0.2689826\nPortugal,PRT,1995,0.2842717\nPortugal,PRT,1996,0.26001713\nPortugal,PRT,1997,0.26176593\nPortugal,PRT,1998,0.2694957\nPortugal,PRT,1999,0.29185346\nPortugal,PRT,2000,0.27435347\nPortugal,PRT,2001,0.26678053\nPortugal,PRT,2002,0.28149357\nPortugal,PRT,2003,0.26228502\nPortugal,PRT,2004,0.2678385\nPortugal,PRT,2005,0.27395996\nPortugal,PRT,2006,0.2502552\nPortugal,PRT,2007,0.23392835\nPortugal,PRT,2008,0.22371687\nPortugal,PRT,2009,0.21872725\nPortugal,PRT,2010,0.19788405\nPortugal,PRT,2011,0.1965784\nPortugal,PRT,2012,0.19756487\nPortugal,PRT,2013,0.19227313\nPortugal,PRT,2014,0.18995419\nPortugal,PRT,2015,0.20331113\nPortugal,PRT,2016,0.19195305\nPortugal,PRT,2017,0.20334361\nPortugal,PRT,2018,0.18400195\nPortugal,PRT,2019,0.16608065\nPortugal,PRT,2020,0.15886675\nPortugal,PRT,2021,0.14539166\nPortugal,PRT,2022,0.13770957\n```\n\nAccording to this chart, what was annual co\u2082 emissions per gdp (kg per international-$) in Portugal in 1994?","response":"Reading the plotted point for 1994, annual co\u2082 emissions per gdp (kg per international-$) in Portugal was 0.27 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPortugal,PRT,1990,0.26462543\nPortugal,PRT,1991,0.26395085\nPortugal,PRT,1992,0.27701193\nPortugal,PRT,1993,0.2697649\nPortugal,PRT,1994,0.2689826\nPortugal,PRT,1995,0.2842717\nPortugal,PRT,1996,0.26001713\nPortugal,PRT,1997,0.26176593\nPortugal,PRT,1998,0.2694957\nPortugal,PRT,1999,0.29185346\nPortugal,PRT,2000,0.27435347\nPortugal,PRT,2001,0.26678053\nPortugal,PRT,2002,0.28149357\nPortugal,PRT,2003,0.26228502\nPortugal,PRT,2004,0.2678385\nPortugal,PRT,2005,0.27395996\nPortugal,PRT,2006,0.2502552\nPortugal,PRT,2007,0.23392835\nPortugal,PRT,2008,0.22371687\nPortugal,PRT,2009,0.21872725\nPortugal,PRT,2010,0.19788405\nPortugal,PRT,2011,0.1965784\nPortugal,PRT,2012,0.19756487\nPortugal,PRT,2013,0.19227313\nPortugal,PRT,2014,0.18995419\nPortugal,PRT,2015,0.20331113\nPortugal,PRT,2016,0.19195305\nPortugal,PRT,2017,0.20334361\nPortugal,PRT,2018,0.18400195\nPortugal,PRT,2019,0.16608065\nPortugal,PRT,2020,0.15886675\nPortugal,PRT,2021,0.14539166\nPortugal,PRT,2022,0.13770957\n```\n\nIn which year shown does annual co\u2082 emissions per gdp (kg per international-$) reach its highest value for Portugal?","response":"The series peaks in 1999, at 0.29 kg\/$. The lowest point shown is 2022, at 0.14 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPortugal,PRT,1990,0.26462543\nPortugal,PRT,1991,0.26395085\nPortugal,PRT,1992,0.27701193\nPortugal,PRT,1993,0.2697649\nPortugal,PRT,1994,0.2689826\nPortugal,PRT,1995,0.2842717\nPortugal,PRT,1996,0.26001713\nPortugal,PRT,1997,0.26176593\nPortugal,PRT,1998,0.2694957\nPortugal,PRT,1999,0.29185346\nPortugal,PRT,2000,0.27435347\nPortugal,PRT,2001,0.26678053\nPortugal,PRT,2002,0.28149357\nPortugal,PRT,2003,0.26228502\nPortugal,PRT,2004,0.2678385\nPortugal,PRT,2005,0.27395996\nPortugal,PRT,2006,0.2502552\nPortugal,PRT,2007,0.23392835\nPortugal,PRT,2008,0.22371687\nPortugal,PRT,2009,0.21872725\nPortugal,PRT,2010,0.19788405\nPortugal,PRT,2011,0.1965784\nPortugal,PRT,2012,0.19756487\nPortugal,PRT,2013,0.19227313\nPortugal,PRT,2014,0.18995419\nPortugal,PRT,2015,0.20331113\nPortugal,PRT,2016,0.19195305\nPortugal,PRT,2017,0.20334361\nPortugal,PRT,2018,0.18400195\nPortugal,PRT,2019,0.16608065\nPortugal,PRT,2020,0.15886675\nPortugal,PRT,2021,0.14539166\nPortugal,PRT,2022,0.13770957\n```\n\nHow much did annual co\u2082 emissions per gdp (kg per international-$) change for Portugal between 1990 and 2022?","response":"It moved from 0.26 kg\/$ in 1990 to 0.14 kg\/$ in 2022, a change of -0.13 kg\/$ (-47.96%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPortugal,PRT,1990,0.26462543\nPortugal,PRT,1991,0.26395085\nPortugal,PRT,1992,0.27701193\nPortugal,PRT,1993,0.2697649\nPortugal,PRT,1994,0.2689826\nPortugal,PRT,1995,0.2842717\nPortugal,PRT,1996,0.26001713\nPortugal,PRT,1997,0.26176593\nPortugal,PRT,1998,0.2694957\nPortugal,PRT,1999,0.29185346\nPortugal,PRT,2000,0.27435347\nPortugal,PRT,2001,0.26678053\nPortugal,PRT,2002,0.28149357\nPortugal,PRT,2003,0.26228502\nPortugal,PRT,2004,0.2678385\nPortugal,PRT,2005,0.27395996\nPortugal,PRT,2006,0.2502552\nPortugal,PRT,2007,0.23392835\nPortugal,PRT,2008,0.22371687\nPortugal,PRT,2009,0.21872725\nPortugal,PRT,2010,0.19788405\nPortugal,PRT,2011,0.1965784\nPortugal,PRT,2012,0.19756487\nPortugal,PRT,2013,0.19227313\nPortugal,PRT,2014,0.18995419\nPortugal,PRT,2015,0.20331113\nPortugal,PRT,2016,0.19195305\nPortugal,PRT,2017,0.20334361\nPortugal,PRT,2018,0.18400195\nPortugal,PRT,2019,0.16608065\nPortugal,PRT,2020,0.15886675\nPortugal,PRT,2021,0.14539166\nPortugal,PRT,2022,0.13770957\n```\n\nWas annual co\u2082 emissions per gdp (kg per international-$) in Portugal higher in 2001 or 2007?","response":"Higher in 2001. The chart gives 0.27 kg\/$ for 2001 and 0.23 kg\/$ for 2007, a difference of 0.03 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPortugal,PRT,1990,0.26462543\nPortugal,PRT,1991,0.26395085\nPortugal,PRT,1992,0.27701193\nPortugal,PRT,1993,0.2697649\nPortugal,PRT,1994,0.2689826\nPortugal,PRT,1995,0.2842717\nPortugal,PRT,1996,0.26001713\nPortugal,PRT,1997,0.26176593\nPortugal,PRT,1998,0.2694957\nPortugal,PRT,1999,0.29185346\nPortugal,PRT,2000,0.27435347\nPortugal,PRT,2001,0.26678053\nPortugal,PRT,2002,0.28149357\nPortugal,PRT,2003,0.26228502\nPortugal,PRT,2004,0.2678385\nPortugal,PRT,2005,0.27395996\nPortugal,PRT,2006,0.2502552\nPortugal,PRT,2007,0.23392835\nPortugal,PRT,2008,0.22371687\nPortugal,PRT,2009,0.21872725\nPortugal,PRT,2010,0.19788405\nPortugal,PRT,2011,0.1965784\nPortugal,PRT,2012,0.19756487\nPortugal,PRT,2013,0.19227313\nPortugal,PRT,2014,0.18995419\nPortugal,PRT,2015,0.20331113\nPortugal,PRT,2016,0.19195305\nPortugal,PRT,2017,0.20334361\nPortugal,PRT,2018,0.18400195\nPortugal,PRT,2019,0.16608065\nPortugal,PRT,2020,0.15886675\nPortugal,PRT,2021,0.14539166\nPortugal,PRT,2022,0.13770957\n```\n\nBased on this chart, is annual co\u2082 emissions per gdp (kg per international-$) in Portugal rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.26 kg\/$ to 0.14 kg\/$, a change of -47.96%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPortugal,PRT,1990,0.26462543\nPortugal,PRT,1991,0.26395085\nPortugal,PRT,1992,0.27701193\nPortugal,PRT,1993,0.2697649\nPortugal,PRT,1994,0.2689826\nPortugal,PRT,1995,0.2842717\nPortugal,PRT,1996,0.26001713\nPortugal,PRT,1997,0.26176593\nPortugal,PRT,1998,0.2694957\nPortugal,PRT,1999,0.29185346\nPortugal,PRT,2000,0.27435347\nPortugal,PRT,2001,0.26678053\nPortugal,PRT,2002,0.28149357\nPortugal,PRT,2003,0.26228502\nPortugal,PRT,2004,0.2678385\nPortugal,PRT,2005,0.27395996\nPortugal,PRT,2006,0.2502552\nPortugal,PRT,2007,0.23392835\nPortugal,PRT,2008,0.22371687\nPortugal,PRT,2009,0.21872725\nPortugal,PRT,2010,0.19788405\nPortugal,PRT,2011,0.1965784\nPortugal,PRT,2012,0.19756487\nPortugal,PRT,2013,0.19227313\nPortugal,PRT,2014,0.18995419\nPortugal,PRT,2015,0.20331113\nPortugal,PRT,2016,0.19195305\nPortugal,PRT,2017,0.20334361\nPortugal,PRT,2018,0.18400195\nPortugal,PRT,2019,0.16608065\nPortugal,PRT,2020,0.15886675\nPortugal,PRT,2021,0.14539166\nPortugal,PRT,2022,0.13770957\n```\n\nThis chart makes the change in annual co\u2082 emissions per gdp (kg per international-$) for Portugal look dramatic. Is it?","response":"The values change by -47.96%, from 0.26 kg\/$ to 0.14 kg\/$. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPortugal,PRT,1990,0.26462543\nPortugal,PRT,1991,0.26395085\nPortugal,PRT,1992,0.27701193\nPortugal,PRT,1993,0.2697649\nPortugal,PRT,1994,0.2689826\nPortugal,PRT,1995,0.2842717\nPortugal,PRT,1996,0.26001713\nPortugal,PRT,1997,0.26176593\nPortugal,PRT,1998,0.2694957\nPortugal,PRT,1999,0.29185346\n```\n\nWhat does this chart suggest about the long-run direction of annual co\u2082 emissions per gdp (kg per international-$) in Portugal?","response":"Within the window shown (1990-1999) the series moves +10.29%, but that window runs against the longer record. Across the full series (1990-2022) the change is -47.96%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPortugal,PRT,1990,0.26462543\nPortugal,PRT,1991,0.26395085\nPortugal,PRT,1992,0.27701193\nPortugal,PRT,1993,0.2697649\nPortugal,PRT,1994,0.2689826\nPortugal,PRT,1995,0.2842717\nPortugal,PRT,1996,0.26001713\nPortugal,PRT,1997,0.26176593\nPortugal,PRT,1998,0.2694957\nPortugal,PRT,1999,0.29185346\nPortugal,PRT,2000,0.27435347\nPortugal,PRT,2001,0.26678053\nPortugal,PRT,2002,0.28149357\nPortugal,PRT,2003,0.26228502\nPortugal,PRT,2004,0.2678385\nPortugal,PRT,2005,0.27395996\nPortugal,PRT,2006,0.2502552\nPortugal,PRT,2007,0.23392835\nPortugal,PRT,2008,0.22371687\nPortugal,PRT,2009,0.21872725\nPortugal,PRT,2010,0.19788405\nPortugal,PRT,2011,0.1965784\nPortugal,PRT,2012,0.19756487\nPortugal,PRT,2013,0.19227313\nPortugal,PRT,2014,0.18995419\nPortugal,PRT,2015,0.20331113\nPortugal,PRT,2016,0.19195305\nPortugal,PRT,2017,0.20334361\nPortugal,PRT,2018,0.18400195\nPortugal,PRT,2019,0.16608065\nPortugal,PRT,2020,0.15886675\nPortugal,PRT,2021,0.14539166\nPortugal,PRT,2022,0.13770957\n```\n\nHow does Portugal compare with Kenya on this measure?","response":"This chart covers Portugal only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about Portugal on its own: the series runs from 0.26 kg\/$ in 1990 to 0.14 kg\/$ in 2022.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Portugal__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nItaly,ITA,1990,0.29699248\nItaly,ITA,1991,0.29005358\nItaly,ITA,1992,0.28587353\nItaly,ITA,1993,0.28130347\nItaly,ITA,1994,0.26979965\nItaly,ITA,1995,0.27517855\nItaly,ITA,1996,0.26632473\nItaly,ITA,1997,0.26306245\nItaly,ITA,1998,0.26409826\nItaly,ITA,1999,0.26085752\nItaly,ITA,2000,0.251964\nItaly,ITA,2001,0.24587037\nItaly,ITA,2002,0.24731034\nItaly,ITA,2003,0.25419828\nItaly,ITA,2004,0.25105992\nItaly,ITA,2005,0.24707015\nItaly,ITA,2006,0.23774832\nItaly,ITA,2007,0.22947906\nItaly,ITA,2008,0.22456859\nItaly,ITA,2009,0.20898336\nItaly,ITA,2010,0.20940274\nItaly,ITA,2011,0.20081504\nItaly,ITA,2012,0.19699776\nItaly,ITA,2013,0.18378787\nItaly,ITA,2014,0.17381117\nItaly,ITA,2015,0.17832068\nItaly,ITA,2016,0.17452776\nItaly,ITA,2017,0.1690442\nItaly,ITA,2018,0.16577524\nItaly,ITA,2019,0.16053024\nItaly,ITA,2020,0.15713347\nItaly,ITA,2021,0.16304928\nItaly,ITA,2022,0.15922906\n```\n\nAccording to this chart, what was annual co\u2082 emissions per gdp (kg per international-$) in Italy in 1993?","response":"Reading the plotted point for 1993, annual co\u2082 emissions per gdp (kg per international-$) in Italy was 0.28 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nItaly,ITA,1990,0.29699248\nItaly,ITA,1991,0.29005358\nItaly,ITA,1992,0.28587353\nItaly,ITA,1993,0.28130347\nItaly,ITA,1994,0.26979965\nItaly,ITA,1995,0.27517855\nItaly,ITA,1996,0.26632473\nItaly,ITA,1997,0.26306245\nItaly,ITA,1998,0.26409826\nItaly,ITA,1999,0.26085752\nItaly,ITA,2000,0.251964\nItaly,ITA,2001,0.24587037\nItaly,ITA,2002,0.24731034\nItaly,ITA,2003,0.25419828\nItaly,ITA,2004,0.25105992\nItaly,ITA,2005,0.24707015\nItaly,ITA,2006,0.23774832\nItaly,ITA,2007,0.22947906\nItaly,ITA,2008,0.22456859\nItaly,ITA,2009,0.20898336\nItaly,ITA,2010,0.20940274\nItaly,ITA,2011,0.20081504\nItaly,ITA,2012,0.19699776\nItaly,ITA,2013,0.18378787\nItaly,ITA,2014,0.17381117\nItaly,ITA,2015,0.17832068\nItaly,ITA,2016,0.17452776\nItaly,ITA,2017,0.1690442\nItaly,ITA,2018,0.16577524\nItaly,ITA,2019,0.16053024\nItaly,ITA,2020,0.15713347\nItaly,ITA,2021,0.16304928\nItaly,ITA,2022,0.15922906\n```\n\nIn which year shown does annual co\u2082 emissions per gdp (kg per international-$) reach its highest value for Italy?","response":"The series peaks in 1990, at 0.3 kg\/$. The lowest point shown is 2020, at 0.16 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nItaly,ITA,1990,0.29699248\nItaly,ITA,1991,0.29005358\nItaly,ITA,1992,0.28587353\nItaly,ITA,1993,0.28130347\nItaly,ITA,1994,0.26979965\nItaly,ITA,1995,0.27517855\nItaly,ITA,1996,0.26632473\nItaly,ITA,1997,0.26306245\nItaly,ITA,1998,0.26409826\nItaly,ITA,1999,0.26085752\nItaly,ITA,2000,0.251964\nItaly,ITA,2001,0.24587037\nItaly,ITA,2002,0.24731034\nItaly,ITA,2003,0.25419828\nItaly,ITA,2004,0.25105992\nItaly,ITA,2005,0.24707015\nItaly,ITA,2006,0.23774832\nItaly,ITA,2007,0.22947906\nItaly,ITA,2008,0.22456859\nItaly,ITA,2009,0.20898336\nItaly,ITA,2010,0.20940274\nItaly,ITA,2011,0.20081504\nItaly,ITA,2012,0.19699776\nItaly,ITA,2013,0.18378787\nItaly,ITA,2014,0.17381117\nItaly,ITA,2015,0.17832068\nItaly,ITA,2016,0.17452776\nItaly,ITA,2017,0.1690442\nItaly,ITA,2018,0.16577524\nItaly,ITA,2019,0.16053024\nItaly,ITA,2020,0.15713347\nItaly,ITA,2021,0.16304928\nItaly,ITA,2022,0.15922906\n```\n\nHow much did annual co\u2082 emissions per gdp (kg per international-$) change for Italy between 1990 and 2022?","response":"It moved from 0.3 kg\/$ in 1990 to 0.16 kg\/$ in 2022, a change of -0.14 kg\/$ (-46.39%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nItaly,ITA,1990,0.29699248\nItaly,ITA,1991,0.29005358\nItaly,ITA,1992,0.28587353\nItaly,ITA,1993,0.28130347\nItaly,ITA,1994,0.26979965\nItaly,ITA,1995,0.27517855\nItaly,ITA,1996,0.26632473\nItaly,ITA,1997,0.26306245\nItaly,ITA,1998,0.26409826\nItaly,ITA,1999,0.26085752\nItaly,ITA,2000,0.251964\nItaly,ITA,2001,0.24587037\nItaly,ITA,2002,0.24731034\nItaly,ITA,2003,0.25419828\nItaly,ITA,2004,0.25105992\nItaly,ITA,2005,0.24707015\nItaly,ITA,2006,0.23774832\nItaly,ITA,2007,0.22947906\nItaly,ITA,2008,0.22456859\nItaly,ITA,2009,0.20898336\nItaly,ITA,2010,0.20940274\nItaly,ITA,2011,0.20081504\nItaly,ITA,2012,0.19699776\nItaly,ITA,2013,0.18378787\nItaly,ITA,2014,0.17381117\nItaly,ITA,2015,0.17832068\nItaly,ITA,2016,0.17452776\nItaly,ITA,2017,0.1690442\nItaly,ITA,2018,0.16577524\nItaly,ITA,2019,0.16053024\nItaly,ITA,2020,0.15713347\nItaly,ITA,2021,0.16304928\nItaly,ITA,2022,0.15922906\n```\n\nWas annual co\u2082 emissions per gdp (kg per international-$) in Italy higher in 1999 or 2021?","response":"Higher in 1999. The chart gives 0.26 kg\/$ for 1999 and 0.16 kg\/$ for 2021, a difference of 0.1 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nItaly,ITA,1990,0.29699248\nItaly,ITA,1991,0.29005358\nItaly,ITA,1992,0.28587353\nItaly,ITA,1993,0.28130347\nItaly,ITA,1994,0.26979965\nItaly,ITA,1995,0.27517855\nItaly,ITA,1996,0.26632473\nItaly,ITA,1997,0.26306245\nItaly,ITA,1998,0.26409826\nItaly,ITA,1999,0.26085752\nItaly,ITA,2000,0.251964\nItaly,ITA,2001,0.24587037\nItaly,ITA,2002,0.24731034\nItaly,ITA,2003,0.25419828\nItaly,ITA,2004,0.25105992\nItaly,ITA,2005,0.24707015\nItaly,ITA,2006,0.23774832\nItaly,ITA,2007,0.22947906\nItaly,ITA,2008,0.22456859\nItaly,ITA,2009,0.20898336\nItaly,ITA,2010,0.20940274\nItaly,ITA,2011,0.20081504\nItaly,ITA,2012,0.19699776\nItaly,ITA,2013,0.18378787\nItaly,ITA,2014,0.17381117\nItaly,ITA,2015,0.17832068\nItaly,ITA,2016,0.17452776\nItaly,ITA,2017,0.1690442\nItaly,ITA,2018,0.16577524\nItaly,ITA,2019,0.16053024\nItaly,ITA,2020,0.15713347\nItaly,ITA,2021,0.16304928\nItaly,ITA,2022,0.15922906\n```\n\nAccording to this chart, what was annual co\u2082 emissions per gdp (kg per international-$) in Italy in 1993?","response":"Reading the plotted point for 1993, annual co\u2082 emissions per gdp (kg per international-$) in Italy was 0.28 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nItaly,ITA,1990,0.29699248\nItaly,ITA,1991,0.29005358\nItaly,ITA,1992,0.28587353\nItaly,ITA,1993,0.28130347\nItaly,ITA,1994,0.26979965\nItaly,ITA,1995,0.27517855\nItaly,ITA,1996,0.26632473\nItaly,ITA,1997,0.26306245\nItaly,ITA,1998,0.26409826\nItaly,ITA,1999,0.26085752\nItaly,ITA,2000,0.251964\nItaly,ITA,2001,0.24587037\nItaly,ITA,2002,0.24731034\nItaly,ITA,2003,0.25419828\nItaly,ITA,2004,0.25105992\nItaly,ITA,2005,0.24707015\nItaly,ITA,2006,0.23774832\nItaly,ITA,2007,0.22947906\nItaly,ITA,2008,0.22456859\nItaly,ITA,2009,0.20898336\nItaly,ITA,2010,0.20940274\nItaly,ITA,2011,0.20081504\nItaly,ITA,2012,0.19699776\nItaly,ITA,2013,0.18378787\nItaly,ITA,2014,0.17381117\nItaly,ITA,2015,0.17832068\nItaly,ITA,2016,0.17452776\nItaly,ITA,2017,0.1690442\nItaly,ITA,2018,0.16577524\nItaly,ITA,2019,0.16053024\nItaly,ITA,2020,0.15713347\nItaly,ITA,2021,0.16304928\nItaly,ITA,2022,0.15922906\n```\n\nIn which year shown does annual co\u2082 emissions per gdp (kg per international-$) reach its highest value for Italy?","response":"The series peaks in 1990, at 0.3 kg\/$. The lowest point shown is 2020, at 0.16 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nItaly,ITA,1990,0.29699248\nItaly,ITA,1991,0.29005358\nItaly,ITA,1992,0.28587353\nItaly,ITA,1993,0.28130347\nItaly,ITA,1994,0.26979965\nItaly,ITA,1995,0.27517855\nItaly,ITA,1996,0.26632473\nItaly,ITA,1997,0.26306245\nItaly,ITA,1998,0.26409826\nItaly,ITA,1999,0.26085752\nItaly,ITA,2000,0.251964\nItaly,ITA,2001,0.24587037\nItaly,ITA,2002,0.24731034\nItaly,ITA,2003,0.25419828\nItaly,ITA,2004,0.25105992\nItaly,ITA,2005,0.24707015\nItaly,ITA,2006,0.23774832\nItaly,ITA,2007,0.22947906\nItaly,ITA,2008,0.22456859\nItaly,ITA,2009,0.20898336\nItaly,ITA,2010,0.20940274\nItaly,ITA,2011,0.20081504\nItaly,ITA,2012,0.19699776\nItaly,ITA,2013,0.18378787\nItaly,ITA,2014,0.17381117\nItaly,ITA,2015,0.17832068\nItaly,ITA,2016,0.17452776\nItaly,ITA,2017,0.1690442\nItaly,ITA,2018,0.16577524\nItaly,ITA,2019,0.16053024\nItaly,ITA,2020,0.15713347\nItaly,ITA,2021,0.16304928\nItaly,ITA,2022,0.15922906\n```\n\nHow much did annual co\u2082 emissions per gdp (kg per international-$) change for Italy between 1990 and 2022?","response":"It moved from 0.3 kg\/$ in 1990 to 0.16 kg\/$ in 2022, a change of -0.14 kg\/$ (-46.39%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nItaly,ITA,1990,0.29699248\nItaly,ITA,1991,0.29005358\nItaly,ITA,1992,0.28587353\nItaly,ITA,1993,0.28130347\nItaly,ITA,1994,0.26979965\nItaly,ITA,1995,0.27517855\nItaly,ITA,1996,0.26632473\nItaly,ITA,1997,0.26306245\nItaly,ITA,1998,0.26409826\nItaly,ITA,1999,0.26085752\nItaly,ITA,2000,0.251964\nItaly,ITA,2001,0.24587037\nItaly,ITA,2002,0.24731034\nItaly,ITA,2003,0.25419828\nItaly,ITA,2004,0.25105992\nItaly,ITA,2005,0.24707015\nItaly,ITA,2006,0.23774832\nItaly,ITA,2007,0.22947906\nItaly,ITA,2008,0.22456859\nItaly,ITA,2009,0.20898336\nItaly,ITA,2010,0.20940274\nItaly,ITA,2011,0.20081504\nItaly,ITA,2012,0.19699776\nItaly,ITA,2013,0.18378787\nItaly,ITA,2014,0.17381117\nItaly,ITA,2015,0.17832068\nItaly,ITA,2016,0.17452776\nItaly,ITA,2017,0.1690442\nItaly,ITA,2018,0.16577524\nItaly,ITA,2019,0.16053024\nItaly,ITA,2020,0.15713347\nItaly,ITA,2021,0.16304928\nItaly,ITA,2022,0.15922906\n```\n\nWas annual co\u2082 emissions per gdp (kg per international-$) in Italy higher in 1999 or 2021?","response":"Higher in 1999. The chart gives 0.26 kg\/$ for 1999 and 0.16 kg\/$ for 2021, a difference of 0.1 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nItaly,ITA,1990,0.29699248\nItaly,ITA,1991,0.29005358\nItaly,ITA,1992,0.28587353\nItaly,ITA,1993,0.28130347\nItaly,ITA,1994,0.26979965\nItaly,ITA,1995,0.27517855\nItaly,ITA,1996,0.26632473\nItaly,ITA,1997,0.26306245\nItaly,ITA,1998,0.26409826\nItaly,ITA,1999,0.26085752\nItaly,ITA,2000,0.251964\nItaly,ITA,2001,0.24587037\nItaly,ITA,2002,0.24731034\nItaly,ITA,2003,0.25419828\nItaly,ITA,2004,0.25105992\nItaly,ITA,2005,0.24707015\nItaly,ITA,2006,0.23774832\nItaly,ITA,2007,0.22947906\nItaly,ITA,2008,0.22456859\nItaly,ITA,2009,0.20898336\nItaly,ITA,2010,0.20940274\nItaly,ITA,2011,0.20081504\nItaly,ITA,2012,0.19699776\nItaly,ITA,2013,0.18378787\nItaly,ITA,2014,0.17381117\nItaly,ITA,2015,0.17832068\nItaly,ITA,2016,0.17452776\nItaly,ITA,2017,0.1690442\nItaly,ITA,2018,0.16577524\nItaly,ITA,2019,0.16053024\nItaly,ITA,2020,0.15713347\nItaly,ITA,2021,0.16304928\nItaly,ITA,2022,0.15922906\n```\n\nThis chart makes the change in annual co\u2082 emissions per gdp (kg per international-$) for Italy look dramatic. Is it?","response":"The values change by -46.39%, from 0.3 kg\/$ to 0.16 kg\/$. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nItaly,ITA,1990,0.29699248\nItaly,ITA,1991,0.29005358\nItaly,ITA,1992,0.28587353\nItaly,ITA,1993,0.28130347\nItaly,ITA,1994,0.26979965\nItaly,ITA,1995,0.27517855\nItaly,ITA,1996,0.26632473\nItaly,ITA,1997,0.26306245\nItaly,ITA,1998,0.26409826\nItaly,ITA,1999,0.26085752\nItaly,ITA,2000,0.251964\nItaly,ITA,2001,0.24587037\nItaly,ITA,2002,0.24731034\nItaly,ITA,2003,0.25419828\nItaly,ITA,2004,0.25105992\nItaly,ITA,2005,0.24707015\nItaly,ITA,2006,0.23774832\nItaly,ITA,2007,0.22947906\nItaly,ITA,2008,0.22456859\nItaly,ITA,2009,0.20898336\nItaly,ITA,2010,0.20940274\nItaly,ITA,2011,0.20081504\nItaly,ITA,2012,0.19699776\nItaly,ITA,2013,0.18378787\nItaly,ITA,2014,0.17381117\nItaly,ITA,2015,0.17832068\nItaly,ITA,2016,0.17452776\nItaly,ITA,2017,0.1690442\nItaly,ITA,2018,0.16577524\nItaly,ITA,2019,0.16053024\nItaly,ITA,2020,0.15713347\nItaly,ITA,2021,0.16304928\nItaly,ITA,2022,0.15922906\n```\n\nThis chart appears to show annual co\u2082 emissions per gdp (kg per international-$) in Italy rising steeply. How large is the increase actually?","response":"The plotted values run from 0.3 kg\/$ to 0.16 kg\/$, so the actual change is -46.39%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 0.1543 instead of zero, which magnifies the visual change by roughly 2.21x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nItaly,ITA,1990,0.29699248\nItaly,ITA,1991,0.29005358\nItaly,ITA,1992,0.28587353\nItaly,ITA,1993,0.28130347\nItaly,ITA,1994,0.26979965\nItaly,ITA,1995,0.27517855\nItaly,ITA,1996,0.26632473\nItaly,ITA,1997,0.26306245\nItaly,ITA,1998,0.26409826\nItaly,ITA,1999,0.26085752\nItaly,ITA,2000,0.251964\nItaly,ITA,2001,0.24587037\nItaly,ITA,2002,0.24731034\nItaly,ITA,2003,0.25419828\nItaly,ITA,2004,0.25105992\nItaly,ITA,2005,0.24707015\nItaly,ITA,2006,0.23774832\nItaly,ITA,2007,0.22947906\nItaly,ITA,2008,0.22456859\nItaly,ITA,2009,0.20898336\nItaly,ITA,2010,0.20940274\nItaly,ITA,2011,0.20081504\nItaly,ITA,2012,0.19699776\nItaly,ITA,2013,0.18378787\nItaly,ITA,2014,0.17381117\nItaly,ITA,2015,0.17832068\nItaly,ITA,2016,0.17452776\nItaly,ITA,2017,0.1690442\nItaly,ITA,2018,0.16577524\nItaly,ITA,2019,0.16053024\nItaly,ITA,2020,0.15713347\nItaly,ITA,2021,0.16304928\nItaly,ITA,2022,0.15922906\n```\n\nWhat was annual co\u2082 emissions per gdp (kg per international-$) for Italy in 1975?","response":"That year is outside this chart. The series runs 1990 to 2022, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 0.3 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Italy__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nSouth Africa,ZAF,1990,1.3309057\nSouth Africa,ZAF,1991,1.3705618\nSouth Africa,ZAF,1992,1.2630781\nSouth Africa,ZAF,1993,1.2959069\nSouth Africa,ZAF,1994,1.2934846\nSouth Africa,ZAF,1995,1.3030729\nSouth Africa,ZAF,1996,1.2250673\nSouth Africa,ZAF,1997,1.2347144\nSouth Africa,ZAF,1998,1.178428\nSouth Africa,ZAF,1999,1.120221\nSouth Africa,ZAF,2000,1.0625166\nSouth Africa,ZAF,2001,0.991232\nSouth Africa,ZAF,2002,0.8999428\nSouth Africa,ZAF,2003,0.97751075\nSouth Africa,ZAF,2004,1.0228922\nSouth Africa,ZAF,2005,0.88518655\nSouth Africa,ZAF,2006,0.883637\nSouth Africa,ZAF,2007,0.85645324\nSouth Africa,ZAF,2008,0.8653253\nSouth Africa,ZAF,2009,0.8255718\nSouth Africa,ZAF,2010,0.7691759\nSouth Africa,ZAF,2011,0.7348644\nSouth Africa,ZAF,2012,0.6982466\nSouth Africa,ZAF,2013,0.6735606\nSouth Africa,ZAF,2014,0.7012232\nSouth Africa,ZAF,2015,0.65735227\nSouth Africa,ZAF,2016,0.6524082\nSouth Africa,ZAF,2017,0.62089574\nSouth Africa,ZAF,2018,0.630705\nSouth Africa,ZAF,2019,0.65230083\nSouth Africa,ZAF,2020,0.64405364\nSouth Africa,ZAF,2021,0.61976886\nSouth Africa,ZAF,2022,0.5926013\n```\n\nAccording to this chart, what was annual co\u2082 emissions per gdp (kg per international-$) in South Africa in 2016?","response":"Reading the plotted point for 2016, annual co\u2082 emissions per gdp (kg per international-$) in South Africa was 0.65 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nSouth Africa,ZAF,1990,1.3309057\nSouth Africa,ZAF,1991,1.3705618\nSouth Africa,ZAF,1992,1.2630781\nSouth Africa,ZAF,1993,1.2959069\nSouth Africa,ZAF,1994,1.2934846\nSouth Africa,ZAF,1995,1.3030729\nSouth Africa,ZAF,1996,1.2250673\nSouth Africa,ZAF,1997,1.2347144\nSouth Africa,ZAF,1998,1.178428\nSouth Africa,ZAF,1999,1.120221\nSouth Africa,ZAF,2000,1.0625166\nSouth Africa,ZAF,2001,0.991232\nSouth Africa,ZAF,2002,0.8999428\nSouth Africa,ZAF,2003,0.97751075\nSouth Africa,ZAF,2004,1.0228922\nSouth Africa,ZAF,2005,0.88518655\nSouth Africa,ZAF,2006,0.883637\nSouth Africa,ZAF,2007,0.85645324\nSouth Africa,ZAF,2008,0.8653253\nSouth Africa,ZAF,2009,0.8255718\nSouth Africa,ZAF,2010,0.7691759\nSouth Africa,ZAF,2011,0.7348644\nSouth Africa,ZAF,2012,0.6982466\nSouth Africa,ZAF,2013,0.6735606\nSouth Africa,ZAF,2014,0.7012232\nSouth Africa,ZAF,2015,0.65735227\nSouth Africa,ZAF,2016,0.6524082\nSouth Africa,ZAF,2017,0.62089574\nSouth Africa,ZAF,2018,0.630705\nSouth Africa,ZAF,2019,0.65230083\nSouth Africa,ZAF,2020,0.64405364\nSouth Africa,ZAF,2021,0.61976886\nSouth Africa,ZAF,2022,0.5926013\n```\n\nIn which year shown does annual co\u2082 emissions per gdp (kg per international-$) reach its highest value for South Africa?","response":"The series peaks in 1991, at 1.37 kg\/$. The lowest point shown is 2022, at 0.59 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nSouth Africa,ZAF,1990,1.3309057\nSouth Africa,ZAF,1991,1.3705618\nSouth Africa,ZAF,1992,1.2630781\nSouth Africa,ZAF,1993,1.2959069\nSouth Africa,ZAF,1994,1.2934846\nSouth Africa,ZAF,1995,1.3030729\nSouth Africa,ZAF,1996,1.2250673\nSouth Africa,ZAF,1997,1.2347144\nSouth Africa,ZAF,1998,1.178428\nSouth Africa,ZAF,1999,1.120221\nSouth Africa,ZAF,2000,1.0625166\nSouth Africa,ZAF,2001,0.991232\nSouth Africa,ZAF,2002,0.8999428\nSouth Africa,ZAF,2003,0.97751075\nSouth Africa,ZAF,2004,1.0228922\nSouth Africa,ZAF,2005,0.88518655\nSouth Africa,ZAF,2006,0.883637\nSouth Africa,ZAF,2007,0.85645324\nSouth Africa,ZAF,2008,0.8653253\nSouth Africa,ZAF,2009,0.8255718\nSouth Africa,ZAF,2010,0.7691759\nSouth Africa,ZAF,2011,0.7348644\nSouth Africa,ZAF,2012,0.6982466\nSouth Africa,ZAF,2013,0.6735606\nSouth Africa,ZAF,2014,0.7012232\nSouth Africa,ZAF,2015,0.65735227\nSouth Africa,ZAF,2016,0.6524082\nSouth Africa,ZAF,2017,0.62089574\nSouth Africa,ZAF,2018,0.630705\nSouth Africa,ZAF,2019,0.65230083\nSouth Africa,ZAF,2020,0.64405364\nSouth Africa,ZAF,2021,0.61976886\nSouth Africa,ZAF,2022,0.5926013\n```\n\nHow much did annual co\u2082 emissions per gdp (kg per international-$) change for South Africa between 1990 and 2022?","response":"It moved from 1.33 kg\/$ in 1990 to 0.59 kg\/$ in 2022, a change of -0.74 kg\/$ (-55.47%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nSouth Africa,ZAF,1990,1.3309057\nSouth Africa,ZAF,1991,1.3705618\nSouth Africa,ZAF,1992,1.2630781\nSouth Africa,ZAF,1993,1.2959069\nSouth Africa,ZAF,1994,1.2934846\nSouth Africa,ZAF,1995,1.3030729\nSouth Africa,ZAF,1996,1.2250673\nSouth Africa,ZAF,1997,1.2347144\nSouth Africa,ZAF,1998,1.178428\nSouth Africa,ZAF,1999,1.120221\nSouth Africa,ZAF,2000,1.0625166\nSouth Africa,ZAF,2001,0.991232\nSouth Africa,ZAF,2002,0.8999428\nSouth Africa,ZAF,2003,0.97751075\nSouth Africa,ZAF,2004,1.0228922\nSouth Africa,ZAF,2005,0.88518655\nSouth Africa,ZAF,2006,0.883637\nSouth Africa,ZAF,2007,0.85645324\nSouth Africa,ZAF,2008,0.8653253\nSouth Africa,ZAF,2009,0.8255718\nSouth Africa,ZAF,2010,0.7691759\nSouth Africa,ZAF,2011,0.7348644\nSouth Africa,ZAF,2012,0.6982466\nSouth Africa,ZAF,2013,0.6735606\nSouth Africa,ZAF,2014,0.7012232\nSouth Africa,ZAF,2015,0.65735227\nSouth Africa,ZAF,2016,0.6524082\nSouth Africa,ZAF,2017,0.62089574\nSouth Africa,ZAF,2018,0.630705\nSouth Africa,ZAF,2019,0.65230083\nSouth Africa,ZAF,2020,0.64405364\nSouth Africa,ZAF,2021,0.61976886\nSouth Africa,ZAF,2022,0.5926013\n```\n\nWas annual co\u2082 emissions per gdp (kg per international-$) in South Africa higher in 2004 or 2007?","response":"Higher in 2004. The chart gives 1.02 kg\/$ for 2004 and 0.86 kg\/$ for 2007, a difference of 0.17 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nSouth Africa,ZAF,1990,1.3309057\nSouth Africa,ZAF,1991,1.3705618\nSouth Africa,ZAF,1992,1.2630781\nSouth Africa,ZAF,1993,1.2959069\nSouth Africa,ZAF,1994,1.2934846\nSouth Africa,ZAF,1995,1.3030729\nSouth Africa,ZAF,1996,1.2250673\nSouth Africa,ZAF,1997,1.2347144\nSouth Africa,ZAF,1998,1.178428\nSouth Africa,ZAF,1999,1.120221\nSouth Africa,ZAF,2000,1.0625166\nSouth Africa,ZAF,2001,0.991232\nSouth Africa,ZAF,2002,0.8999428\nSouth Africa,ZAF,2003,0.97751075\nSouth Africa,ZAF,2004,1.0228922\nSouth Africa,ZAF,2005,0.88518655\nSouth Africa,ZAF,2006,0.883637\nSouth Africa,ZAF,2007,0.85645324\nSouth Africa,ZAF,2008,0.8653253\nSouth Africa,ZAF,2009,0.8255718\nSouth Africa,ZAF,2010,0.7691759\nSouth Africa,ZAF,2011,0.7348644\nSouth Africa,ZAF,2012,0.6982466\nSouth Africa,ZAF,2013,0.6735606\nSouth Africa,ZAF,2014,0.7012232\nSouth Africa,ZAF,2015,0.65735227\nSouth Africa,ZAF,2016,0.6524082\nSouth Africa,ZAF,2017,0.62089574\nSouth Africa,ZAF,2018,0.630705\nSouth Africa,ZAF,2019,0.65230083\nSouth Africa,ZAF,2020,0.64405364\nSouth Africa,ZAF,2021,0.61976886\nSouth Africa,ZAF,2022,0.5926013\n```\n\nAccording to this chart, what was annual co\u2082 emissions per gdp (kg per international-$) in South Africa in 2016?","response":"Reading the plotted point for 2016, annual co\u2082 emissions per gdp (kg per international-$) in South Africa was 0.65 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nSouth Africa,ZAF,1990,1.3309057\nSouth Africa,ZAF,1991,1.3705618\nSouth Africa,ZAF,1992,1.2630781\nSouth Africa,ZAF,1993,1.2959069\nSouth Africa,ZAF,1994,1.2934846\nSouth Africa,ZAF,1995,1.3030729\nSouth Africa,ZAF,1996,1.2250673\nSouth Africa,ZAF,1997,1.2347144\nSouth Africa,ZAF,1998,1.178428\nSouth Africa,ZAF,1999,1.120221\nSouth Africa,ZAF,2000,1.0625166\nSouth Africa,ZAF,2001,0.991232\nSouth Africa,ZAF,2002,0.8999428\nSouth Africa,ZAF,2003,0.97751075\nSouth Africa,ZAF,2004,1.0228922\nSouth Africa,ZAF,2005,0.88518655\nSouth Africa,ZAF,2006,0.883637\nSouth Africa,ZAF,2007,0.85645324\nSouth Africa,ZAF,2008,0.8653253\nSouth Africa,ZAF,2009,0.8255718\nSouth Africa,ZAF,2010,0.7691759\nSouth Africa,ZAF,2011,0.7348644\nSouth Africa,ZAF,2012,0.6982466\nSouth Africa,ZAF,2013,0.6735606\nSouth Africa,ZAF,2014,0.7012232\nSouth Africa,ZAF,2015,0.65735227\nSouth Africa,ZAF,2016,0.6524082\nSouth Africa,ZAF,2017,0.62089574\nSouth Africa,ZAF,2018,0.630705\nSouth Africa,ZAF,2019,0.65230083\nSouth Africa,ZAF,2020,0.64405364\nSouth Africa,ZAF,2021,0.61976886\nSouth Africa,ZAF,2022,0.5926013\n```\n\nIn which year shown does annual co\u2082 emissions per gdp (kg per international-$) reach its highest value for South Africa?","response":"The series peaks in 1991, at 1.37 kg\/$. The lowest point shown is 2022, at 0.59 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nSouth Africa,ZAF,1990,1.3309057\nSouth Africa,ZAF,1991,1.3705618\nSouth Africa,ZAF,1992,1.2630781\nSouth Africa,ZAF,1993,1.2959069\nSouth Africa,ZAF,1994,1.2934846\nSouth Africa,ZAF,1995,1.3030729\nSouth Africa,ZAF,1996,1.2250673\nSouth Africa,ZAF,1997,1.2347144\nSouth Africa,ZAF,1998,1.178428\nSouth Africa,ZAF,1999,1.120221\nSouth Africa,ZAF,2000,1.0625166\nSouth Africa,ZAF,2001,0.991232\nSouth Africa,ZAF,2002,0.8999428\nSouth Africa,ZAF,2003,0.97751075\nSouth Africa,ZAF,2004,1.0228922\nSouth Africa,ZAF,2005,0.88518655\nSouth Africa,ZAF,2006,0.883637\nSouth Africa,ZAF,2007,0.85645324\nSouth Africa,ZAF,2008,0.8653253\nSouth Africa,ZAF,2009,0.8255718\nSouth Africa,ZAF,2010,0.7691759\nSouth Africa,ZAF,2011,0.7348644\nSouth Africa,ZAF,2012,0.6982466\nSouth Africa,ZAF,2013,0.6735606\nSouth Africa,ZAF,2014,0.7012232\nSouth Africa,ZAF,2015,0.65735227\nSouth Africa,ZAF,2016,0.6524082\nSouth Africa,ZAF,2017,0.62089574\nSouth Africa,ZAF,2018,0.630705\nSouth Africa,ZAF,2019,0.65230083\nSouth Africa,ZAF,2020,0.64405364\nSouth Africa,ZAF,2021,0.61976886\nSouth Africa,ZAF,2022,0.5926013\n```\n\nHow much did annual co\u2082 emissions per gdp (kg per international-$) change for South Africa between 1990 and 2022?","response":"It moved from 1.33 kg\/$ in 1990 to 0.59 kg\/$ in 2022, a change of -0.74 kg\/$ (-55.47%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nSouth Africa,ZAF,1990,1.3309057\nSouth Africa,ZAF,1991,1.3705618\nSouth Africa,ZAF,1992,1.2630781\nSouth Africa,ZAF,1993,1.2959069\nSouth Africa,ZAF,1994,1.2934846\nSouth Africa,ZAF,1995,1.3030729\nSouth Africa,ZAF,1996,1.2250673\nSouth Africa,ZAF,1997,1.2347144\nSouth Africa,ZAF,1998,1.178428\nSouth Africa,ZAF,1999,1.120221\nSouth Africa,ZAF,2000,1.0625166\nSouth Africa,ZAF,2001,0.991232\nSouth Africa,ZAF,2002,0.8999428\nSouth Africa,ZAF,2003,0.97751075\nSouth Africa,ZAF,2004,1.0228922\nSouth Africa,ZAF,2005,0.88518655\nSouth Africa,ZAF,2006,0.883637\nSouth Africa,ZAF,2007,0.85645324\nSouth Africa,ZAF,2008,0.8653253\nSouth Africa,ZAF,2009,0.8255718\nSouth Africa,ZAF,2010,0.7691759\nSouth Africa,ZAF,2011,0.7348644\nSouth Africa,ZAF,2012,0.6982466\nSouth Africa,ZAF,2013,0.6735606\nSouth Africa,ZAF,2014,0.7012232\nSouth Africa,ZAF,2015,0.65735227\nSouth Africa,ZAF,2016,0.6524082\nSouth Africa,ZAF,2017,0.62089574\nSouth Africa,ZAF,2018,0.630705\nSouth Africa,ZAF,2019,0.65230083\nSouth Africa,ZAF,2020,0.64405364\nSouth Africa,ZAF,2021,0.61976886\nSouth Africa,ZAF,2022,0.5926013\n```\n\nWas annual co\u2082 emissions per gdp (kg per international-$) in South Africa higher in 2004 or 2007?","response":"Higher in 2004. The chart gives 1.02 kg\/$ for 2004 and 0.86 kg\/$ for 2007, a difference of 0.17 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nSouth Africa,ZAF,1990,1.3309057\nSouth Africa,ZAF,1991,1.3705618\nSouth Africa,ZAF,1992,1.2630781\nSouth Africa,ZAF,1993,1.2959069\nSouth Africa,ZAF,1994,1.2934846\nSouth Africa,ZAF,1995,1.3030729\nSouth Africa,ZAF,1996,1.2250673\nSouth Africa,ZAF,1997,1.2347144\nSouth Africa,ZAF,1998,1.178428\nSouth Africa,ZAF,1999,1.120221\nSouth Africa,ZAF,2000,1.0625166\nSouth Africa,ZAF,2001,0.991232\nSouth Africa,ZAF,2002,0.8999428\nSouth Africa,ZAF,2003,0.97751075\nSouth Africa,ZAF,2004,1.0228922\nSouth Africa,ZAF,2005,0.88518655\nSouth Africa,ZAF,2006,0.883637\nSouth Africa,ZAF,2007,0.85645324\nSouth Africa,ZAF,2008,0.8653253\nSouth Africa,ZAF,2009,0.8255718\nSouth Africa,ZAF,2010,0.7691759\nSouth Africa,ZAF,2011,0.7348644\nSouth Africa,ZAF,2012,0.6982466\nSouth Africa,ZAF,2013,0.6735606\nSouth Africa,ZAF,2014,0.7012232\nSouth Africa,ZAF,2015,0.65735227\nSouth Africa,ZAF,2016,0.6524082\nSouth Africa,ZAF,2017,0.62089574\nSouth Africa,ZAF,2018,0.630705\nSouth Africa,ZAF,2019,0.65230083\nSouth Africa,ZAF,2020,0.64405364\nSouth Africa,ZAF,2021,0.61976886\nSouth Africa,ZAF,2022,0.5926013\n```\n\nBased on this chart, is annual co\u2082 emissions per gdp (kg per international-$) in South Africa rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 1.33 kg\/$ to 0.59 kg\/$, a change of -55.47%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nSouth Africa,ZAF,1990,1.3309057\nSouth Africa,ZAF,1991,1.3705618\nSouth Africa,ZAF,1992,1.2630781\nSouth Africa,ZAF,1993,1.2959069\nSouth Africa,ZAF,1994,1.2934846\nSouth Africa,ZAF,1995,1.3030729\nSouth Africa,ZAF,1996,1.2250673\nSouth Africa,ZAF,1997,1.2347144\nSouth Africa,ZAF,1998,1.178428\nSouth Africa,ZAF,1999,1.120221\nSouth Africa,ZAF,2000,1.0625166\nSouth Africa,ZAF,2001,0.991232\nSouth Africa,ZAF,2002,0.8999428\nSouth Africa,ZAF,2003,0.97751075\nSouth Africa,ZAF,2004,1.0228922\nSouth Africa,ZAF,2005,0.88518655\nSouth Africa,ZAF,2006,0.883637\nSouth Africa,ZAF,2007,0.85645324\nSouth Africa,ZAF,2008,0.8653253\nSouth Africa,ZAF,2009,0.8255718\nSouth Africa,ZAF,2010,0.7691759\nSouth Africa,ZAF,2011,0.7348644\nSouth Africa,ZAF,2012,0.6982466\nSouth Africa,ZAF,2013,0.6735606\nSouth Africa,ZAF,2014,0.7012232\nSouth Africa,ZAF,2015,0.65735227\nSouth Africa,ZAF,2016,0.6524082\nSouth Africa,ZAF,2017,0.62089574\nSouth Africa,ZAF,2018,0.630705\nSouth Africa,ZAF,2019,0.65230083\nSouth Africa,ZAF,2020,0.64405364\nSouth Africa,ZAF,2021,0.61976886\nSouth Africa,ZAF,2022,0.5926013\n```\n\nWhat was annual co\u2082 emissions per gdp (kg per international-$) for South Africa in 1975?","response":"That year is outside this chart. The series runs 1990 to 2022, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 1.33 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__South-Africa__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nArgentina,ARG,1990,0.33118203\nArgentina,ARG,1991,0.3130553\nArgentina,ARG,1992,0.29162478\nArgentina,ARG,1993,0.2653467\nArgentina,ARG,1994,0.25058165\nArgentina,ARG,1995,0.27169675\nArgentina,ARG,1996,0.26858154\nArgentina,ARG,1997,0.25702772\nArgentina,ARG,1998,0.25155714\nArgentina,ARG,1999,0.2755948\nArgentina,ARG,2000,0.26721326\nArgentina,ARG,2001,0.26221123\nArgentina,ARG,2002,0.27125785\nArgentina,ARG,2003,0.2671832\nArgentina,ARG,2004,0.28572297\nArgentina,ARG,2005,0.2690755\nArgentina,ARG,2006,0.26727352\nArgentina,ARG,2007,0.24311945\nArgentina,ARG,2008,0.251079\nArgentina,ARG,2009,0.252689\nArgentina,ARG,2010,0.23686028\nArgentina,ARG,2011,0.22666128\nArgentina,ARG,2012,0.23121893\nArgentina,ARG,2013,0.2232098\nArgentina,ARG,2014,0.22777289\nArgentina,ARG,2015,0.22556277\nArgentina,ARG,2016,0.22820646\nArgentina,ARG,2017,0.21850112\nArgentina,ARG,2018,0.21887413\nArgentina,ARG,2019,0.22082712\nArgentina,ARG,2020,0.22371505\nArgentina,ARG,2021,0.23413919\nArgentina,ARG,2022,0.21495502\n```\n\nAccording to this chart, what was annual co\u2082 emissions per gdp (kg per international-$) in Argentina in 2007?","response":"Reading the plotted point for 2007, annual co\u2082 emissions per gdp (kg per international-$) in Argentina was 0.24 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nArgentina,ARG,1990,0.33118203\nArgentina,ARG,1991,0.3130553\nArgentina,ARG,1992,0.29162478\nArgentina,ARG,1993,0.2653467\nArgentina,ARG,1994,0.25058165\nArgentina,ARG,1995,0.27169675\nArgentina,ARG,1996,0.26858154\nArgentina,ARG,1997,0.25702772\nArgentina,ARG,1998,0.25155714\nArgentina,ARG,1999,0.2755948\nArgentina,ARG,2000,0.26721326\nArgentina,ARG,2001,0.26221123\nArgentina,ARG,2002,0.27125785\nArgentina,ARG,2003,0.2671832\nArgentina,ARG,2004,0.28572297\nArgentina,ARG,2005,0.2690755\nArgentina,ARG,2006,0.26727352\nArgentina,ARG,2007,0.24311945\nArgentina,ARG,2008,0.251079\nArgentina,ARG,2009,0.252689\nArgentina,ARG,2010,0.23686028\nArgentina,ARG,2011,0.22666128\nArgentina,ARG,2012,0.23121893\nArgentina,ARG,2013,0.2232098\nArgentina,ARG,2014,0.22777289\nArgentina,ARG,2015,0.22556277\nArgentina,ARG,2016,0.22820646\nArgentina,ARG,2017,0.21850112\nArgentina,ARG,2018,0.21887413\nArgentina,ARG,2019,0.22082712\nArgentina,ARG,2020,0.22371505\nArgentina,ARG,2021,0.23413919\nArgentina,ARG,2022,0.21495502\n```\n\nIn which year shown does annual co\u2082 emissions per gdp (kg per international-$) reach its highest value for Argentina?","response":"The series peaks in 1990, at 0.33 kg\/$. The lowest point shown is 2022, at 0.21 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nArgentina,ARG,1990,0.33118203\nArgentina,ARG,1991,0.3130553\nArgentina,ARG,1992,0.29162478\nArgentina,ARG,1993,0.2653467\nArgentina,ARG,1994,0.25058165\nArgentina,ARG,1995,0.27169675\nArgentina,ARG,1996,0.26858154\nArgentina,ARG,1997,0.25702772\nArgentina,ARG,1998,0.25155714\nArgentina,ARG,1999,0.2755948\nArgentina,ARG,2000,0.26721326\nArgentina,ARG,2001,0.26221123\nArgentina,ARG,2002,0.27125785\nArgentina,ARG,2003,0.2671832\nArgentina,ARG,2004,0.28572297\nArgentina,ARG,2005,0.2690755\nArgentina,ARG,2006,0.26727352\nArgentina,ARG,2007,0.24311945\nArgentina,ARG,2008,0.251079\nArgentina,ARG,2009,0.252689\nArgentina,ARG,2010,0.23686028\nArgentina,ARG,2011,0.22666128\nArgentina,ARG,2012,0.23121893\nArgentina,ARG,2013,0.2232098\nArgentina,ARG,2014,0.22777289\nArgentina,ARG,2015,0.22556277\nArgentina,ARG,2016,0.22820646\nArgentina,ARG,2017,0.21850112\nArgentina,ARG,2018,0.21887413\nArgentina,ARG,2019,0.22082712\nArgentina,ARG,2020,0.22371505\nArgentina,ARG,2021,0.23413919\nArgentina,ARG,2022,0.21495502\n```\n\nHow much did annual co\u2082 emissions per gdp (kg per international-$) change for Argentina between 1990 and 2022?","response":"It moved from 0.33 kg\/$ in 1990 to 0.21 kg\/$ in 2022, a change of -0.12 kg\/$ (-35.09%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nArgentina,ARG,1990,0.33118203\nArgentina,ARG,1991,0.3130553\nArgentina,ARG,1992,0.29162478\nArgentina,ARG,1993,0.2653467\nArgentina,ARG,1994,0.25058165\nArgentina,ARG,1995,0.27169675\nArgentina,ARG,1996,0.26858154\nArgentina,ARG,1997,0.25702772\nArgentina,ARG,1998,0.25155714\nArgentina,ARG,1999,0.2755948\nArgentina,ARG,2000,0.26721326\nArgentina,ARG,2001,0.26221123\nArgentina,ARG,2002,0.27125785\nArgentina,ARG,2003,0.2671832\nArgentina,ARG,2004,0.28572297\nArgentina,ARG,2005,0.2690755\nArgentina,ARG,2006,0.26727352\nArgentina,ARG,2007,0.24311945\nArgentina,ARG,2008,0.251079\nArgentina,ARG,2009,0.252689\nArgentina,ARG,2010,0.23686028\nArgentina,ARG,2011,0.22666128\nArgentina,ARG,2012,0.23121893\nArgentina,ARG,2013,0.2232098\nArgentina,ARG,2014,0.22777289\nArgentina,ARG,2015,0.22556277\nArgentina,ARG,2016,0.22820646\nArgentina,ARG,2017,0.21850112\nArgentina,ARG,2018,0.21887413\nArgentina,ARG,2019,0.22082712\nArgentina,ARG,2020,0.22371505\nArgentina,ARG,2021,0.23413919\nArgentina,ARG,2022,0.21495502\n```\n\nWas annual co\u2082 emissions per gdp (kg per international-$) in Argentina higher in 2004 or 2011?","response":"Higher in 2004. The chart gives 0.29 kg\/$ for 2004 and 0.23 kg\/$ for 2011, a difference of 0.06 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nArgentina,ARG,1990,0.33118203\nArgentina,ARG,1991,0.3130553\nArgentina,ARG,1992,0.29162478\nArgentina,ARG,1993,0.2653467\nArgentina,ARG,1994,0.25058165\nArgentina,ARG,1995,0.27169675\nArgentina,ARG,1996,0.26858154\nArgentina,ARG,1997,0.25702772\nArgentina,ARG,1998,0.25155714\nArgentina,ARG,1999,0.2755948\nArgentina,ARG,2000,0.26721326\nArgentina,ARG,2001,0.26221123\nArgentina,ARG,2002,0.27125785\nArgentina,ARG,2003,0.2671832\nArgentina,ARG,2004,0.28572297\nArgentina,ARG,2005,0.2690755\nArgentina,ARG,2006,0.26727352\nArgentina,ARG,2007,0.24311945\nArgentina,ARG,2008,0.251079\nArgentina,ARG,2009,0.252689\nArgentina,ARG,2010,0.23686028\nArgentina,ARG,2011,0.22666128\nArgentina,ARG,2012,0.23121893\nArgentina,ARG,2013,0.2232098\nArgentina,ARG,2014,0.22777289\nArgentina,ARG,2015,0.22556277\nArgentina,ARG,2016,0.22820646\nArgentina,ARG,2017,0.21850112\nArgentina,ARG,2018,0.21887413\nArgentina,ARG,2019,0.22082712\nArgentina,ARG,2020,0.22371505\nArgentina,ARG,2021,0.23413919\nArgentina,ARG,2022,0.21495502\n```\n\nAccording to this chart, what was annual co\u2082 emissions per gdp (kg per international-$) in Argentina in 2007?","response":"Reading the plotted point for 2007, annual co\u2082 emissions per gdp (kg per international-$) in Argentina was 0.24 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nArgentina,ARG,1990,0.33118203\nArgentina,ARG,1991,0.3130553\nArgentina,ARG,1992,0.29162478\nArgentina,ARG,1993,0.2653467\nArgentina,ARG,1994,0.25058165\nArgentina,ARG,1995,0.27169675\nArgentina,ARG,1996,0.26858154\nArgentina,ARG,1997,0.25702772\nArgentina,ARG,1998,0.25155714\nArgentina,ARG,1999,0.2755948\nArgentina,ARG,2000,0.26721326\nArgentina,ARG,2001,0.26221123\nArgentina,ARG,2002,0.27125785\nArgentina,ARG,2003,0.2671832\nArgentina,ARG,2004,0.28572297\nArgentina,ARG,2005,0.2690755\nArgentina,ARG,2006,0.26727352\nArgentina,ARG,2007,0.24311945\nArgentina,ARG,2008,0.251079\nArgentina,ARG,2009,0.252689\nArgentina,ARG,2010,0.23686028\nArgentina,ARG,2011,0.22666128\nArgentina,ARG,2012,0.23121893\nArgentina,ARG,2013,0.2232098\nArgentina,ARG,2014,0.22777289\nArgentina,ARG,2015,0.22556277\nArgentina,ARG,2016,0.22820646\nArgentina,ARG,2017,0.21850112\nArgentina,ARG,2018,0.21887413\nArgentina,ARG,2019,0.22082712\nArgentina,ARG,2020,0.22371505\nArgentina,ARG,2021,0.23413919\nArgentina,ARG,2022,0.21495502\n```\n\nIn which year shown does annual co\u2082 emissions per gdp (kg per international-$) reach its highest value for Argentina?","response":"The series peaks in 1990, at 0.33 kg\/$. The lowest point shown is 2022, at 0.21 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nArgentina,ARG,1990,0.33118203\nArgentina,ARG,1991,0.3130553\nArgentina,ARG,1992,0.29162478\nArgentina,ARG,1993,0.2653467\nArgentina,ARG,1994,0.25058165\nArgentina,ARG,1995,0.27169675\nArgentina,ARG,1996,0.26858154\nArgentina,ARG,1997,0.25702772\nArgentina,ARG,1998,0.25155714\nArgentina,ARG,1999,0.2755948\nArgentina,ARG,2000,0.26721326\nArgentina,ARG,2001,0.26221123\nArgentina,ARG,2002,0.27125785\nArgentina,ARG,2003,0.2671832\nArgentina,ARG,2004,0.28572297\nArgentina,ARG,2005,0.2690755\nArgentina,ARG,2006,0.26727352\nArgentina,ARG,2007,0.24311945\nArgentina,ARG,2008,0.251079\nArgentina,ARG,2009,0.252689\nArgentina,ARG,2010,0.23686028\nArgentina,ARG,2011,0.22666128\nArgentina,ARG,2012,0.23121893\nArgentina,ARG,2013,0.2232098\nArgentina,ARG,2014,0.22777289\nArgentina,ARG,2015,0.22556277\nArgentina,ARG,2016,0.22820646\nArgentina,ARG,2017,0.21850112\nArgentina,ARG,2018,0.21887413\nArgentina,ARG,2019,0.22082712\nArgentina,ARG,2020,0.22371505\nArgentina,ARG,2021,0.23413919\nArgentina,ARG,2022,0.21495502\n```\n\nHow much did annual co\u2082 emissions per gdp (kg per international-$) change for Argentina between 1990 and 2022?","response":"It moved from 0.33 kg\/$ in 1990 to 0.21 kg\/$ in 2022, a change of -0.12 kg\/$ (-35.09%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nArgentina,ARG,1990,0.33118203\nArgentina,ARG,1991,0.3130553\nArgentina,ARG,1992,0.29162478\nArgentina,ARG,1993,0.2653467\nArgentina,ARG,1994,0.25058165\nArgentina,ARG,1995,0.27169675\nArgentina,ARG,1996,0.26858154\nArgentina,ARG,1997,0.25702772\nArgentina,ARG,1998,0.25155714\nArgentina,ARG,1999,0.2755948\nArgentina,ARG,2000,0.26721326\nArgentina,ARG,2001,0.26221123\nArgentina,ARG,2002,0.27125785\nArgentina,ARG,2003,0.2671832\nArgentina,ARG,2004,0.28572297\nArgentina,ARG,2005,0.2690755\nArgentina,ARG,2006,0.26727352\nArgentina,ARG,2007,0.24311945\nArgentina,ARG,2008,0.251079\nArgentina,ARG,2009,0.252689\nArgentina,ARG,2010,0.23686028\nArgentina,ARG,2011,0.22666128\nArgentina,ARG,2012,0.23121893\nArgentina,ARG,2013,0.2232098\nArgentina,ARG,2014,0.22777289\nArgentina,ARG,2015,0.22556277\nArgentina,ARG,2016,0.22820646\nArgentina,ARG,2017,0.21850112\nArgentina,ARG,2018,0.21887413\nArgentina,ARG,2019,0.22082712\nArgentina,ARG,2020,0.22371505\nArgentina,ARG,2021,0.23413919\nArgentina,ARG,2022,0.21495502\n```\n\nWas annual co\u2082 emissions per gdp (kg per international-$) in Argentina higher in 2004 or 2011?","response":"Higher in 2004. The chart gives 0.29 kg\/$ for 2004 and 0.23 kg\/$ for 2011, a difference of 0.06 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nArgentina,ARG,1990,0.33118203\nArgentina,ARG,1991,0.3130553\nArgentina,ARG,1992,0.29162478\nArgentina,ARG,1993,0.2653467\nArgentina,ARG,1994,0.25058165\nArgentina,ARG,1995,0.27169675\nArgentina,ARG,1996,0.26858154\nArgentina,ARG,1997,0.25702772\nArgentina,ARG,1998,0.25155714\nArgentina,ARG,1999,0.2755948\nArgentina,ARG,2000,0.26721326\nArgentina,ARG,2001,0.26221123\nArgentina,ARG,2002,0.27125785\nArgentina,ARG,2003,0.2671832\nArgentina,ARG,2004,0.28572297\nArgentina,ARG,2005,0.2690755\nArgentina,ARG,2006,0.26727352\nArgentina,ARG,2007,0.24311945\nArgentina,ARG,2008,0.251079\nArgentina,ARG,2009,0.252689\nArgentina,ARG,2010,0.23686028\nArgentina,ARG,2011,0.22666128\nArgentina,ARG,2012,0.23121893\nArgentina,ARG,2013,0.2232098\nArgentina,ARG,2014,0.22777289\nArgentina,ARG,2015,0.22556277\nArgentina,ARG,2016,0.22820646\nArgentina,ARG,2017,0.21850112\nArgentina,ARG,2018,0.21887413\nArgentina,ARG,2019,0.22082712\nArgentina,ARG,2020,0.22371505\nArgentina,ARG,2021,0.23413919\nArgentina,ARG,2022,0.21495502\n```\n\nBased on this chart, is annual co\u2082 emissions per gdp (kg per international-$) in Argentina rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.33 kg\/$ to 0.21 kg\/$, a change of -35.09%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nArgentina,ARG,1990,0.33118203\nArgentina,ARG,1991,0.3130553\nArgentina,ARG,1992,0.29162478\nArgentina,ARG,1993,0.2653467\nArgentina,ARG,1994,0.25058165\nArgentina,ARG,1995,0.27169675\nArgentina,ARG,1996,0.26858154\nArgentina,ARG,1997,0.25702772\nArgentina,ARG,1998,0.25155714\nArgentina,ARG,1999,0.2755948\nArgentina,ARG,2000,0.26721326\nArgentina,ARG,2001,0.26221123\nArgentina,ARG,2002,0.27125785\nArgentina,ARG,2003,0.2671832\nArgentina,ARG,2004,0.28572297\nArgentina,ARG,2005,0.2690755\nArgentina,ARG,2006,0.26727352\nArgentina,ARG,2007,0.24311945\nArgentina,ARG,2008,0.251079\nArgentina,ARG,2009,0.252689\nArgentina,ARG,2010,0.23686028\nArgentina,ARG,2011,0.22666128\nArgentina,ARG,2012,0.23121893\nArgentina,ARG,2013,0.2232098\nArgentina,ARG,2014,0.22777289\nArgentina,ARG,2015,0.22556277\nArgentina,ARG,2016,0.22820646\nArgentina,ARG,2017,0.21850112\nArgentina,ARG,2018,0.21887413\nArgentina,ARG,2019,0.22082712\nArgentina,ARG,2020,0.22371505\nArgentina,ARG,2021,0.23413919\nArgentina,ARG,2022,0.21495502\n```\n\nThis chart makes the change in annual co\u2082 emissions per gdp (kg per international-$) for Argentina look dramatic. Is it?","response":"The values change by -35.09%, from 0.33 kg\/$ to 0.21 kg\/$. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nArgentina,ARG,1997,0.25702772\nArgentina,ARG,1998,0.25155714\nArgentina,ARG,1999,0.2755948\nArgentina,ARG,2000,0.26721326\nArgentina,ARG,2001,0.26221123\nArgentina,ARG,2002,0.27125785\nArgentina,ARG,2003,0.2671832\nArgentina,ARG,2004,0.28572297\nArgentina,ARG,2005,0.2690755\n```\n\nWhat does this chart suggest about the long-run direction of annual co\u2082 emissions per gdp (kg per international-$) in Argentina?","response":"Within the window shown (1997-2005) the series moves +4.69%, but that window runs against the longer record. Across the full series (1990-2022) the change is -35.09%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nArgentina,ARG,1990,0.33118203\nArgentina,ARG,1991,0.3130553\nArgentina,ARG,1992,0.29162478\nArgentina,ARG,1993,0.2653467\nArgentina,ARG,1994,0.25058165\nArgentina,ARG,1995,0.27169675\nArgentina,ARG,1996,0.26858154\nArgentina,ARG,1997,0.25702772\nArgentina,ARG,1998,0.25155714\nArgentina,ARG,1999,0.2755948\nArgentina,ARG,2000,0.26721326\nArgentina,ARG,2001,0.26221123\nArgentina,ARG,2002,0.27125785\nArgentina,ARG,2003,0.2671832\nArgentina,ARG,2004,0.28572297\nArgentina,ARG,2005,0.2690755\nArgentina,ARG,2006,0.26727352\nArgentina,ARG,2007,0.24311945\nArgentina,ARG,2008,0.251079\nArgentina,ARG,2009,0.252689\nArgentina,ARG,2010,0.23686028\nArgentina,ARG,2011,0.22666128\nArgentina,ARG,2012,0.23121893\nArgentina,ARG,2013,0.2232098\nArgentina,ARG,2014,0.22777289\nArgentina,ARG,2015,0.22556277\nArgentina,ARG,2016,0.22820646\nArgentina,ARG,2017,0.21850112\nArgentina,ARG,2018,0.21887413\nArgentina,ARG,2019,0.22082712\nArgentina,ARG,2020,0.22371505\nArgentina,ARG,2021,0.23413919\nArgentina,ARG,2022,0.21495502\n```\n\nWhat caused the change in annual co\u2082 emissions per gdp (kg per international-$) for Argentina around 1993?","response":"The chart shows that the change happened: annual co\u2082 emissions per gdp (kg per international-$) moves to 0.27 kg\/$ in 1993. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Argentina__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPhilippines,PHL,1990,0.17888281\nPhilippines,PHL,1991,0.18768665\nPhilippines,PHL,1992,0.20688482\nPhilippines,PHL,1993,0.20340475\nPhilippines,PHL,1994,0.21385868\nPhilippines,PHL,1995,0.22453706\nPhilippines,PHL,1996,0.21475413\nPhilippines,PHL,1997,0.23175721\nPhilippines,PHL,1998,0.22526729\nPhilippines,PHL,1999,0.21651888\nPhilippines,PHL,2000,0.21838716\nPhilippines,PHL,2001,0.20554452\nPhilippines,PHL,2002,0.19580832\nPhilippines,PHL,2003,0.18500152\nPhilippines,PHL,2004,0.17817397\nPhilippines,PHL,2005,0.16945428\nPhilippines,PHL,2006,0.14496577\nPhilippines,PHL,2007,0.14383465\nPhilippines,PHL,2008,0.14987028\nPhilippines,PHL,2009,0.14502297\nPhilippines,PHL,2010,0.14543542\nPhilippines,PHL,2011,0.14042011\nPhilippines,PHL,2012,0.13847746\nPhilippines,PHL,2013,0.14061825\nPhilippines,PHL,2014,0.13954298\nPhilippines,PHL,2015,0.1456003\nPhilippines,PHL,2016,0.14710622\nPhilippines,PHL,2017,0.15285991\nPhilippines,PHL,2018,0.15050441\nPhilippines,PHL,2019,0.14460917\nPhilippines,PHL,2020,0.14733146\nPhilippines,PHL,2021,0.14872581\nPhilippines,PHL,2022,0.14875974\n```\n\nAccording to this chart, what was annual co\u2082 emissions per gdp (kg per international-$) in Philippines in 1994?","response":"Reading the plotted point for 1994, annual co\u2082 emissions per gdp (kg per international-$) in Philippines was 0.21 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPhilippines,PHL,1990,0.17888281\nPhilippines,PHL,1991,0.18768665\nPhilippines,PHL,1992,0.20688482\nPhilippines,PHL,1993,0.20340475\nPhilippines,PHL,1994,0.21385868\nPhilippines,PHL,1995,0.22453706\nPhilippines,PHL,1996,0.21475413\nPhilippines,PHL,1997,0.23175721\nPhilippines,PHL,1998,0.22526729\nPhilippines,PHL,1999,0.21651888\nPhilippines,PHL,2000,0.21838716\nPhilippines,PHL,2001,0.20554452\nPhilippines,PHL,2002,0.19580832\nPhilippines,PHL,2003,0.18500152\nPhilippines,PHL,2004,0.17817397\nPhilippines,PHL,2005,0.16945428\nPhilippines,PHL,2006,0.14496577\nPhilippines,PHL,2007,0.14383465\nPhilippines,PHL,2008,0.14987028\nPhilippines,PHL,2009,0.14502297\nPhilippines,PHL,2010,0.14543542\nPhilippines,PHL,2011,0.14042011\nPhilippines,PHL,2012,0.13847746\nPhilippines,PHL,2013,0.14061825\nPhilippines,PHL,2014,0.13954298\nPhilippines,PHL,2015,0.1456003\nPhilippines,PHL,2016,0.14710622\nPhilippines,PHL,2017,0.15285991\nPhilippines,PHL,2018,0.15050441\nPhilippines,PHL,2019,0.14460917\nPhilippines,PHL,2020,0.14733146\nPhilippines,PHL,2021,0.14872581\nPhilippines,PHL,2022,0.14875974\n```\n\nIn which year shown does annual co\u2082 emissions per gdp (kg per international-$) reach its highest value for Philippines?","response":"The series peaks in 1997, at 0.23 kg\/$. The lowest point shown is 2012, at 0.14 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPhilippines,PHL,1990,0.17888281\nPhilippines,PHL,1991,0.18768665\nPhilippines,PHL,1992,0.20688482\nPhilippines,PHL,1993,0.20340475\nPhilippines,PHL,1994,0.21385868\nPhilippines,PHL,1995,0.22453706\nPhilippines,PHL,1996,0.21475413\nPhilippines,PHL,1997,0.23175721\nPhilippines,PHL,1998,0.22526729\nPhilippines,PHL,1999,0.21651888\nPhilippines,PHL,2000,0.21838716\nPhilippines,PHL,2001,0.20554452\nPhilippines,PHL,2002,0.19580832\nPhilippines,PHL,2003,0.18500152\nPhilippines,PHL,2004,0.17817397\nPhilippines,PHL,2005,0.16945428\nPhilippines,PHL,2006,0.14496577\nPhilippines,PHL,2007,0.14383465\nPhilippines,PHL,2008,0.14987028\nPhilippines,PHL,2009,0.14502297\nPhilippines,PHL,2010,0.14543542\nPhilippines,PHL,2011,0.14042011\nPhilippines,PHL,2012,0.13847746\nPhilippines,PHL,2013,0.14061825\nPhilippines,PHL,2014,0.13954298\nPhilippines,PHL,2015,0.1456003\nPhilippines,PHL,2016,0.14710622\nPhilippines,PHL,2017,0.15285991\nPhilippines,PHL,2018,0.15050441\nPhilippines,PHL,2019,0.14460917\nPhilippines,PHL,2020,0.14733146\nPhilippines,PHL,2021,0.14872581\nPhilippines,PHL,2022,0.14875974\n```\n\nHow much did annual co\u2082 emissions per gdp (kg per international-$) change for Philippines between 1990 and 2022?","response":"It moved from 0.18 kg\/$ in 1990 to 0.15 kg\/$ in 2022, a change of -0.03 kg\/$ (-16.84%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPhilippines,PHL,1990,0.17888281\nPhilippines,PHL,1991,0.18768665\nPhilippines,PHL,1992,0.20688482\nPhilippines,PHL,1993,0.20340475\nPhilippines,PHL,1994,0.21385868\nPhilippines,PHL,1995,0.22453706\nPhilippines,PHL,1996,0.21475413\nPhilippines,PHL,1997,0.23175721\nPhilippines,PHL,1998,0.22526729\nPhilippines,PHL,1999,0.21651888\nPhilippines,PHL,2000,0.21838716\nPhilippines,PHL,2001,0.20554452\nPhilippines,PHL,2002,0.19580832\nPhilippines,PHL,2003,0.18500152\nPhilippines,PHL,2004,0.17817397\nPhilippines,PHL,2005,0.16945428\nPhilippines,PHL,2006,0.14496577\nPhilippines,PHL,2007,0.14383465\nPhilippines,PHL,2008,0.14987028\nPhilippines,PHL,2009,0.14502297\nPhilippines,PHL,2010,0.14543542\nPhilippines,PHL,2011,0.14042011\nPhilippines,PHL,2012,0.13847746\nPhilippines,PHL,2013,0.14061825\nPhilippines,PHL,2014,0.13954298\nPhilippines,PHL,2015,0.1456003\nPhilippines,PHL,2016,0.14710622\nPhilippines,PHL,2017,0.15285991\nPhilippines,PHL,2018,0.15050441\nPhilippines,PHL,2019,0.14460917\nPhilippines,PHL,2020,0.14733146\nPhilippines,PHL,2021,0.14872581\nPhilippines,PHL,2022,0.14875974\n```\n\nWas annual co\u2082 emissions per gdp (kg per international-$) in Philippines higher in 1998 or 2021?","response":"Higher in 1998. The chart gives 0.23 kg\/$ for 1998 and 0.15 kg\/$ for 2021, a difference of 0.08 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPhilippines,PHL,1990,0.17888281\nPhilippines,PHL,1991,0.18768665\nPhilippines,PHL,1992,0.20688482\nPhilippines,PHL,1993,0.20340475\nPhilippines,PHL,1994,0.21385868\nPhilippines,PHL,1995,0.22453706\nPhilippines,PHL,1996,0.21475413\nPhilippines,PHL,1997,0.23175721\nPhilippines,PHL,1998,0.22526729\nPhilippines,PHL,1999,0.21651888\nPhilippines,PHL,2000,0.21838716\nPhilippines,PHL,2001,0.20554452\nPhilippines,PHL,2002,0.19580832\nPhilippines,PHL,2003,0.18500152\nPhilippines,PHL,2004,0.17817397\nPhilippines,PHL,2005,0.16945428\nPhilippines,PHL,2006,0.14496577\nPhilippines,PHL,2007,0.14383465\nPhilippines,PHL,2008,0.14987028\nPhilippines,PHL,2009,0.14502297\nPhilippines,PHL,2010,0.14543542\nPhilippines,PHL,2011,0.14042011\nPhilippines,PHL,2012,0.13847746\nPhilippines,PHL,2013,0.14061825\nPhilippines,PHL,2014,0.13954298\nPhilippines,PHL,2015,0.1456003\nPhilippines,PHL,2016,0.14710622\nPhilippines,PHL,2017,0.15285991\nPhilippines,PHL,2018,0.15050441\nPhilippines,PHL,2019,0.14460917\nPhilippines,PHL,2020,0.14733146\nPhilippines,PHL,2021,0.14872581\nPhilippines,PHL,2022,0.14875974\n```\n\nAccording to this chart, what was annual co\u2082 emissions per gdp (kg per international-$) in Philippines in 1994?","response":"Reading the plotted point for 1994, annual co\u2082 emissions per gdp (kg per international-$) in Philippines was 0.21 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPhilippines,PHL,1990,0.17888281\nPhilippines,PHL,1991,0.18768665\nPhilippines,PHL,1992,0.20688482\nPhilippines,PHL,1993,0.20340475\nPhilippines,PHL,1994,0.21385868\nPhilippines,PHL,1995,0.22453706\nPhilippines,PHL,1996,0.21475413\nPhilippines,PHL,1997,0.23175721\nPhilippines,PHL,1998,0.22526729\nPhilippines,PHL,1999,0.21651888\nPhilippines,PHL,2000,0.21838716\nPhilippines,PHL,2001,0.20554452\nPhilippines,PHL,2002,0.19580832\nPhilippines,PHL,2003,0.18500152\nPhilippines,PHL,2004,0.17817397\nPhilippines,PHL,2005,0.16945428\nPhilippines,PHL,2006,0.14496577\nPhilippines,PHL,2007,0.14383465\nPhilippines,PHL,2008,0.14987028\nPhilippines,PHL,2009,0.14502297\nPhilippines,PHL,2010,0.14543542\nPhilippines,PHL,2011,0.14042011\nPhilippines,PHL,2012,0.13847746\nPhilippines,PHL,2013,0.14061825\nPhilippines,PHL,2014,0.13954298\nPhilippines,PHL,2015,0.1456003\nPhilippines,PHL,2016,0.14710622\nPhilippines,PHL,2017,0.15285991\nPhilippines,PHL,2018,0.15050441\nPhilippines,PHL,2019,0.14460917\nPhilippines,PHL,2020,0.14733146\nPhilippines,PHL,2021,0.14872581\nPhilippines,PHL,2022,0.14875974\n```\n\nIn which year shown does annual co\u2082 emissions per gdp (kg per international-$) reach its highest value for Philippines?","response":"The series peaks in 1997, at 0.23 kg\/$. The lowest point shown is 2012, at 0.14 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPhilippines,PHL,1990,0.17888281\nPhilippines,PHL,1991,0.18768665\nPhilippines,PHL,1992,0.20688482\nPhilippines,PHL,1993,0.20340475\nPhilippines,PHL,1994,0.21385868\nPhilippines,PHL,1995,0.22453706\nPhilippines,PHL,1996,0.21475413\nPhilippines,PHL,1997,0.23175721\nPhilippines,PHL,1998,0.22526729\nPhilippines,PHL,1999,0.21651888\nPhilippines,PHL,2000,0.21838716\nPhilippines,PHL,2001,0.20554452\nPhilippines,PHL,2002,0.19580832\nPhilippines,PHL,2003,0.18500152\nPhilippines,PHL,2004,0.17817397\nPhilippines,PHL,2005,0.16945428\nPhilippines,PHL,2006,0.14496577\nPhilippines,PHL,2007,0.14383465\nPhilippines,PHL,2008,0.14987028\nPhilippines,PHL,2009,0.14502297\nPhilippines,PHL,2010,0.14543542\nPhilippines,PHL,2011,0.14042011\nPhilippines,PHL,2012,0.13847746\nPhilippines,PHL,2013,0.14061825\nPhilippines,PHL,2014,0.13954298\nPhilippines,PHL,2015,0.1456003\nPhilippines,PHL,2016,0.14710622\nPhilippines,PHL,2017,0.15285991\nPhilippines,PHL,2018,0.15050441\nPhilippines,PHL,2019,0.14460917\nPhilippines,PHL,2020,0.14733146\nPhilippines,PHL,2021,0.14872581\nPhilippines,PHL,2022,0.14875974\n```\n\nHow much did annual co\u2082 emissions per gdp (kg per international-$) change for Philippines between 1990 and 2022?","response":"It moved from 0.18 kg\/$ in 1990 to 0.15 kg\/$ in 2022, a change of -0.03 kg\/$ (-16.84%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPhilippines,PHL,1990,0.17888281\nPhilippines,PHL,1991,0.18768665\nPhilippines,PHL,1992,0.20688482\nPhilippines,PHL,1993,0.20340475\nPhilippines,PHL,1994,0.21385868\nPhilippines,PHL,1995,0.22453706\nPhilippines,PHL,1996,0.21475413\nPhilippines,PHL,1997,0.23175721\nPhilippines,PHL,1998,0.22526729\nPhilippines,PHL,1999,0.21651888\nPhilippines,PHL,2000,0.21838716\nPhilippines,PHL,2001,0.20554452\nPhilippines,PHL,2002,0.19580832\nPhilippines,PHL,2003,0.18500152\nPhilippines,PHL,2004,0.17817397\nPhilippines,PHL,2005,0.16945428\nPhilippines,PHL,2006,0.14496577\nPhilippines,PHL,2007,0.14383465\nPhilippines,PHL,2008,0.14987028\nPhilippines,PHL,2009,0.14502297\nPhilippines,PHL,2010,0.14543542\nPhilippines,PHL,2011,0.14042011\nPhilippines,PHL,2012,0.13847746\nPhilippines,PHL,2013,0.14061825\nPhilippines,PHL,2014,0.13954298\nPhilippines,PHL,2015,0.1456003\nPhilippines,PHL,2016,0.14710622\nPhilippines,PHL,2017,0.15285991\nPhilippines,PHL,2018,0.15050441\nPhilippines,PHL,2019,0.14460917\nPhilippines,PHL,2020,0.14733146\nPhilippines,PHL,2021,0.14872581\nPhilippines,PHL,2022,0.14875974\n```\n\nWas annual co\u2082 emissions per gdp (kg per international-$) in Philippines higher in 1998 or 2021?","response":"Higher in 1998. The chart gives 0.23 kg\/$ for 1998 and 0.15 kg\/$ for 2021, a difference of 0.08 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPhilippines,PHL,1990,0.17888281\nPhilippines,PHL,1991,0.18768665\nPhilippines,PHL,1992,0.20688482\nPhilippines,PHL,1993,0.20340475\nPhilippines,PHL,1994,0.21385868\nPhilippines,PHL,1995,0.22453706\nPhilippines,PHL,1996,0.21475413\nPhilippines,PHL,1997,0.23175721\nPhilippines,PHL,1998,0.22526729\nPhilippines,PHL,1999,0.21651888\nPhilippines,PHL,2000,0.21838716\nPhilippines,PHL,2001,0.20554452\nPhilippines,PHL,2002,0.19580832\nPhilippines,PHL,2003,0.18500152\nPhilippines,PHL,2004,0.17817397\nPhilippines,PHL,2005,0.16945428\nPhilippines,PHL,2006,0.14496577\nPhilippines,PHL,2007,0.14383465\nPhilippines,PHL,2008,0.14987028\nPhilippines,PHL,2009,0.14502297\nPhilippines,PHL,2010,0.14543542\nPhilippines,PHL,2011,0.14042011\nPhilippines,PHL,2012,0.13847746\nPhilippines,PHL,2013,0.14061825\nPhilippines,PHL,2014,0.13954298\nPhilippines,PHL,2015,0.1456003\nPhilippines,PHL,2016,0.14710622\nPhilippines,PHL,2017,0.15285991\nPhilippines,PHL,2018,0.15050441\nPhilippines,PHL,2019,0.14460917\nPhilippines,PHL,2020,0.14733146\nPhilippines,PHL,2021,0.14872581\nPhilippines,PHL,2022,0.14875974\n```\n\nBased on this chart, is annual co\u2082 emissions per gdp (kg per international-$) in Philippines rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 0.18 kg\/$ to 0.15 kg\/$, a change of -16.84%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPhilippines,PHL,1990,0.17888281\nPhilippines,PHL,1991,0.18768665\nPhilippines,PHL,1992,0.20688482\nPhilippines,PHL,1993,0.20340475\nPhilippines,PHL,1994,0.21385868\nPhilippines,PHL,1995,0.22453706\nPhilippines,PHL,1996,0.21475413\nPhilippines,PHL,1997,0.23175721\nPhilippines,PHL,1998,0.22526729\nPhilippines,PHL,1999,0.21651888\nPhilippines,PHL,2000,0.21838716\nPhilippines,PHL,2001,0.20554452\nPhilippines,PHL,2002,0.19580832\nPhilippines,PHL,2003,0.18500152\nPhilippines,PHL,2004,0.17817397\nPhilippines,PHL,2005,0.16945428\nPhilippines,PHL,2006,0.14496577\nPhilippines,PHL,2007,0.14383465\nPhilippines,PHL,2008,0.14987028\nPhilippines,PHL,2009,0.14502297\nPhilippines,PHL,2010,0.14543542\nPhilippines,PHL,2011,0.14042011\nPhilippines,PHL,2012,0.13847746\nPhilippines,PHL,2013,0.14061825\nPhilippines,PHL,2014,0.13954298\nPhilippines,PHL,2015,0.1456003\nPhilippines,PHL,2016,0.14710622\nPhilippines,PHL,2017,0.15285991\nPhilippines,PHL,2018,0.15050441\nPhilippines,PHL,2019,0.14460917\nPhilippines,PHL,2020,0.14733146\nPhilippines,PHL,2021,0.14872581\nPhilippines,PHL,2022,0.14875974\n```\n\nThis chart makes the change in annual co\u2082 emissions per gdp (kg per international-$) for Philippines look dramatic. Is it?","response":"The values change by -16.84%, from 0.18 kg\/$ to 0.15 kg\/$. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPhilippines,PHL,1990,0.17888281\nPhilippines,PHL,1991,0.18768665\nPhilippines,PHL,1992,0.20688482\nPhilippines,PHL,1993,0.20340475\nPhilippines,PHL,1994,0.21385868\nPhilippines,PHL,1995,0.22453706\nPhilippines,PHL,1996,0.21475413\nPhilippines,PHL,1997,0.23175721\nPhilippines,PHL,1998,0.22526729\n```\n\nWhat does this chart suggest about the long-run direction of annual co\u2082 emissions per gdp (kg per international-$) in Philippines?","response":"Within the window shown (1990-1998) the series moves +25.93%, but that window runs against the longer record. Across the full series (1990-2022) the change is -16.84%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nPhilippines,PHL,1990,0.17888281\nPhilippines,PHL,1991,0.18768665\nPhilippines,PHL,1992,0.20688482\nPhilippines,PHL,1993,0.20340475\nPhilippines,PHL,1994,0.21385868\nPhilippines,PHL,1995,0.22453706\nPhilippines,PHL,1996,0.21475413\nPhilippines,PHL,1997,0.23175721\nPhilippines,PHL,1998,0.22526729\nPhilippines,PHL,1999,0.21651888\nPhilippines,PHL,2000,0.21838716\nPhilippines,PHL,2001,0.20554452\nPhilippines,PHL,2002,0.19580832\nPhilippines,PHL,2003,0.18500152\nPhilippines,PHL,2004,0.17817397\nPhilippines,PHL,2005,0.16945428\nPhilippines,PHL,2006,0.14496577\nPhilippines,PHL,2007,0.14383465\nPhilippines,PHL,2008,0.14987028\nPhilippines,PHL,2009,0.14502297\nPhilippines,PHL,2010,0.14543542\nPhilippines,PHL,2011,0.14042011\nPhilippines,PHL,2012,0.13847746\nPhilippines,PHL,2013,0.14061825\nPhilippines,PHL,2014,0.13954298\nPhilippines,PHL,2015,0.1456003\nPhilippines,PHL,2016,0.14710622\nPhilippines,PHL,2017,0.15285991\nPhilippines,PHL,2018,0.15050441\nPhilippines,PHL,2019,0.14460917\nPhilippines,PHL,2020,0.14733146\nPhilippines,PHL,2021,0.14872581\nPhilippines,PHL,2022,0.14875974\n```\n\nHow does Philippines compare with Nigeria on this measure?","response":"This chart covers Philippines only, so Nigeria is not plotted and I cannot compare them from it. The chart does support statements about Philippines on its own: the series runs from 0.18 kg\/$ in 1990 to 0.15 kg\/$ in 2022.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__Philippines__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nIndia,IND,1990,0.33009073\nIndia,IND,1991,0.34797308\nIndia,IND,1992,0.35395557\nIndia,IND,1993,0.34832242\nIndia,IND,1994,0.34746158\nIndia,IND,1995,0.34732485\nIndia,IND,1996,0.35118204\nIndia,IND,1997,0.3535413\nIndia,IND,1998,0.34105664\nIndia,IND,1999,0.35463786\nIndia,IND,2000,0.3519603\nIndia,IND,2001,0.34045735\nIndia,IND,2002,0.34140682\nIndia,IND,2003,0.32862514\nIndia,IND,2004,0.32463622\nIndia,IND,2005,0.31854832\nIndia,IND,2006,0.31778064\nIndia,IND,2007,0.3164699\nIndia,IND,2008,0.32054007\nIndia,IND,2009,0.32308692\nIndia,IND,2010,0.3130784\nIndia,IND,2011,0.30865052\nIndia,IND,2012,0.31838238\nIndia,IND,2013,0.31058392\nIndia,IND,2014,0.31243548\nIndia,IND,2015,0.3019429\nIndia,IND,2016,0.29197025\nIndia,IND,2017,0.2837092\nIndia,IND,2018,0.282914\nIndia,IND,2019,0.27212596\nIndia,IND,2020,0.27083814\nIndia,IND,2021,0.27299342\nIndia,IND,2022,0.27024287\n```\n\nAccording to this chart, what was annual co\u2082 emissions per gdp (kg per international-$) in India in 2001?","response":"Reading the plotted point for 2001, annual co\u2082 emissions per gdp (kg per international-$) in India was 0.34 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nIndia,IND,1990,0.33009073\nIndia,IND,1991,0.34797308\nIndia,IND,1992,0.35395557\nIndia,IND,1993,0.34832242\nIndia,IND,1994,0.34746158\nIndia,IND,1995,0.34732485\nIndia,IND,1996,0.35118204\nIndia,IND,1997,0.3535413\nIndia,IND,1998,0.34105664\nIndia,IND,1999,0.35463786\nIndia,IND,2000,0.3519603\nIndia,IND,2001,0.34045735\nIndia,IND,2002,0.34140682\nIndia,IND,2003,0.32862514\nIndia,IND,2004,0.32463622\nIndia,IND,2005,0.31854832\nIndia,IND,2006,0.31778064\nIndia,IND,2007,0.3164699\nIndia,IND,2008,0.32054007\nIndia,IND,2009,0.32308692\nIndia,IND,2010,0.3130784\nIndia,IND,2011,0.30865052\nIndia,IND,2012,0.31838238\nIndia,IND,2013,0.31058392\nIndia,IND,2014,0.31243548\nIndia,IND,2015,0.3019429\nIndia,IND,2016,0.29197025\nIndia,IND,2017,0.2837092\nIndia,IND,2018,0.282914\nIndia,IND,2019,0.27212596\nIndia,IND,2020,0.27083814\nIndia,IND,2021,0.27299342\nIndia,IND,2022,0.27024287\n```\n\nIn which year shown does annual co\u2082 emissions per gdp (kg per international-$) reach its highest value for India?","response":"The series peaks in 1999, at 0.35 kg\/$. The lowest point shown is 2022, at 0.27 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nIndia,IND,1990,0.33009073\nIndia,IND,1991,0.34797308\nIndia,IND,1992,0.35395557\nIndia,IND,1993,0.34832242\nIndia,IND,1994,0.34746158\nIndia,IND,1995,0.34732485\nIndia,IND,1996,0.35118204\nIndia,IND,1997,0.3535413\nIndia,IND,1998,0.34105664\nIndia,IND,1999,0.35463786\nIndia,IND,2000,0.3519603\nIndia,IND,2001,0.34045735\nIndia,IND,2002,0.34140682\nIndia,IND,2003,0.32862514\nIndia,IND,2004,0.32463622\nIndia,IND,2005,0.31854832\nIndia,IND,2006,0.31778064\nIndia,IND,2007,0.3164699\nIndia,IND,2008,0.32054007\nIndia,IND,2009,0.32308692\nIndia,IND,2010,0.3130784\nIndia,IND,2011,0.30865052\nIndia,IND,2012,0.31838238\nIndia,IND,2013,0.31058392\nIndia,IND,2014,0.31243548\nIndia,IND,2015,0.3019429\nIndia,IND,2016,0.29197025\nIndia,IND,2017,0.2837092\nIndia,IND,2018,0.282914\nIndia,IND,2019,0.27212596\nIndia,IND,2020,0.27083814\nIndia,IND,2021,0.27299342\nIndia,IND,2022,0.27024287\n```\n\nHow much did annual co\u2082 emissions per gdp (kg per international-$) change for India between 1990 and 2022?","response":"It moved from 0.33 kg\/$ in 1990 to 0.27 kg\/$ in 2022, a change of -0.06 kg\/$ (-18.13%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nIndia,IND,1990,0.33009073\nIndia,IND,1991,0.34797308\nIndia,IND,1992,0.35395557\nIndia,IND,1993,0.34832242\nIndia,IND,1994,0.34746158\nIndia,IND,1995,0.34732485\nIndia,IND,1996,0.35118204\nIndia,IND,1997,0.3535413\nIndia,IND,1998,0.34105664\nIndia,IND,1999,0.35463786\nIndia,IND,2000,0.3519603\nIndia,IND,2001,0.34045735\nIndia,IND,2002,0.34140682\nIndia,IND,2003,0.32862514\nIndia,IND,2004,0.32463622\nIndia,IND,2005,0.31854832\nIndia,IND,2006,0.31778064\nIndia,IND,2007,0.3164699\nIndia,IND,2008,0.32054007\nIndia,IND,2009,0.32308692\nIndia,IND,2010,0.3130784\nIndia,IND,2011,0.30865052\nIndia,IND,2012,0.31838238\nIndia,IND,2013,0.31058392\nIndia,IND,2014,0.31243548\nIndia,IND,2015,0.3019429\nIndia,IND,2016,0.29197025\nIndia,IND,2017,0.2837092\nIndia,IND,2018,0.282914\nIndia,IND,2019,0.27212596\nIndia,IND,2020,0.27083814\nIndia,IND,2021,0.27299342\nIndia,IND,2022,0.27024287\n```\n\nWas annual co\u2082 emissions per gdp (kg per international-$) in India higher in 1999 or 2008?","response":"Higher in 1999. The chart gives 0.35 kg\/$ for 1999 and 0.32 kg\/$ for 2008, a difference of 0.03 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nIndia,IND,1990,0.33009073\nIndia,IND,1991,0.34797308\nIndia,IND,1992,0.35395557\nIndia,IND,1993,0.34832242\nIndia,IND,1994,0.34746158\nIndia,IND,1995,0.34732485\nIndia,IND,1996,0.35118204\nIndia,IND,1997,0.3535413\nIndia,IND,1998,0.34105664\nIndia,IND,1999,0.35463786\nIndia,IND,2000,0.3519603\nIndia,IND,2001,0.34045735\nIndia,IND,2002,0.34140682\nIndia,IND,2003,0.32862514\nIndia,IND,2004,0.32463622\nIndia,IND,2005,0.31854832\nIndia,IND,2006,0.31778064\nIndia,IND,2007,0.3164699\nIndia,IND,2008,0.32054007\nIndia,IND,2009,0.32308692\nIndia,IND,2010,0.3130784\nIndia,IND,2011,0.30865052\nIndia,IND,2012,0.31838238\nIndia,IND,2013,0.31058392\nIndia,IND,2014,0.31243548\nIndia,IND,2015,0.3019429\nIndia,IND,2016,0.29197025\nIndia,IND,2017,0.2837092\nIndia,IND,2018,0.282914\nIndia,IND,2019,0.27212596\nIndia,IND,2020,0.27083814\nIndia,IND,2021,0.27299342\nIndia,IND,2022,0.27024287\n```\n\nAccording to this chart, what was annual co\u2082 emissions per gdp (kg per international-$) in India in 2001?","response":"Reading the plotted point for 2001, annual co\u2082 emissions per gdp (kg per international-$) in India was 0.34 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nIndia,IND,1990,0.33009073\nIndia,IND,1991,0.34797308\nIndia,IND,1992,0.35395557\nIndia,IND,1993,0.34832242\nIndia,IND,1994,0.34746158\nIndia,IND,1995,0.34732485\nIndia,IND,1996,0.35118204\nIndia,IND,1997,0.3535413\nIndia,IND,1998,0.34105664\nIndia,IND,1999,0.35463786\nIndia,IND,2000,0.3519603\nIndia,IND,2001,0.34045735\nIndia,IND,2002,0.34140682\nIndia,IND,2003,0.32862514\nIndia,IND,2004,0.32463622\nIndia,IND,2005,0.31854832\nIndia,IND,2006,0.31778064\nIndia,IND,2007,0.3164699\nIndia,IND,2008,0.32054007\nIndia,IND,2009,0.32308692\nIndia,IND,2010,0.3130784\nIndia,IND,2011,0.30865052\nIndia,IND,2012,0.31838238\nIndia,IND,2013,0.31058392\nIndia,IND,2014,0.31243548\nIndia,IND,2015,0.3019429\nIndia,IND,2016,0.29197025\nIndia,IND,2017,0.2837092\nIndia,IND,2018,0.282914\nIndia,IND,2019,0.27212596\nIndia,IND,2020,0.27083814\nIndia,IND,2021,0.27299342\nIndia,IND,2022,0.27024287\n```\n\nIn which year shown does annual co\u2082 emissions per gdp (kg per international-$) reach its highest value for India?","response":"The series peaks in 1999, at 0.35 kg\/$. The lowest point shown is 2022, at 0.27 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nIndia,IND,1990,0.33009073\nIndia,IND,1991,0.34797308\nIndia,IND,1992,0.35395557\nIndia,IND,1993,0.34832242\nIndia,IND,1994,0.34746158\nIndia,IND,1995,0.34732485\nIndia,IND,1996,0.35118204\nIndia,IND,1997,0.3535413\nIndia,IND,1998,0.34105664\nIndia,IND,1999,0.35463786\nIndia,IND,2000,0.3519603\nIndia,IND,2001,0.34045735\nIndia,IND,2002,0.34140682\nIndia,IND,2003,0.32862514\nIndia,IND,2004,0.32463622\nIndia,IND,2005,0.31854832\nIndia,IND,2006,0.31778064\nIndia,IND,2007,0.3164699\nIndia,IND,2008,0.32054007\nIndia,IND,2009,0.32308692\nIndia,IND,2010,0.3130784\nIndia,IND,2011,0.30865052\nIndia,IND,2012,0.31838238\nIndia,IND,2013,0.31058392\nIndia,IND,2014,0.31243548\nIndia,IND,2015,0.3019429\nIndia,IND,2016,0.29197025\nIndia,IND,2017,0.2837092\nIndia,IND,2018,0.282914\nIndia,IND,2019,0.27212596\nIndia,IND,2020,0.27083814\nIndia,IND,2021,0.27299342\nIndia,IND,2022,0.27024287\n```\n\nHow much did annual co\u2082 emissions per gdp (kg per international-$) change for India between 1990 and 2022?","response":"It moved from 0.33 kg\/$ in 1990 to 0.27 kg\/$ in 2022, a change of -0.06 kg\/$ (-18.13%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nIndia,IND,1990,0.33009073\nIndia,IND,1991,0.34797308\nIndia,IND,1992,0.35395557\nIndia,IND,1993,0.34832242\nIndia,IND,1994,0.34746158\nIndia,IND,1995,0.34732485\nIndia,IND,1996,0.35118204\nIndia,IND,1997,0.3535413\nIndia,IND,1998,0.34105664\nIndia,IND,1999,0.35463786\nIndia,IND,2000,0.3519603\nIndia,IND,2001,0.34045735\nIndia,IND,2002,0.34140682\nIndia,IND,2003,0.32862514\nIndia,IND,2004,0.32463622\nIndia,IND,2005,0.31854832\nIndia,IND,2006,0.31778064\nIndia,IND,2007,0.3164699\nIndia,IND,2008,0.32054007\nIndia,IND,2009,0.32308692\nIndia,IND,2010,0.3130784\nIndia,IND,2011,0.30865052\nIndia,IND,2012,0.31838238\nIndia,IND,2013,0.31058392\nIndia,IND,2014,0.31243548\nIndia,IND,2015,0.3019429\nIndia,IND,2016,0.29197025\nIndia,IND,2017,0.2837092\nIndia,IND,2018,0.282914\nIndia,IND,2019,0.27212596\nIndia,IND,2020,0.27083814\nIndia,IND,2021,0.27299342\nIndia,IND,2022,0.27024287\n```\n\nWas annual co\u2082 emissions per gdp (kg per international-$) in India higher in 1999 or 2008?","response":"Higher in 1999. The chart gives 0.35 kg\/$ for 1999 and 0.32 kg\/$ for 2008, a difference of 0.03 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nIndia,IND,1990,0.33009073\nIndia,IND,1991,0.34797308\nIndia,IND,1992,0.35395557\nIndia,IND,1993,0.34832242\nIndia,IND,1994,0.34746158\nIndia,IND,1995,0.34732485\nIndia,IND,1996,0.35118204\nIndia,IND,1997,0.3535413\nIndia,IND,1998,0.34105664\nIndia,IND,1999,0.35463786\nIndia,IND,2000,0.3519603\nIndia,IND,2001,0.34045735\nIndia,IND,2002,0.34140682\nIndia,IND,2003,0.32862514\nIndia,IND,2004,0.32463622\nIndia,IND,2005,0.31854832\nIndia,IND,2006,0.31778064\nIndia,IND,2007,0.3164699\nIndia,IND,2008,0.32054007\nIndia,IND,2009,0.32308692\nIndia,IND,2010,0.3130784\nIndia,IND,2011,0.30865052\nIndia,IND,2012,0.31838238\nIndia,IND,2013,0.31058392\nIndia,IND,2014,0.31243548\nIndia,IND,2015,0.3019429\nIndia,IND,2016,0.29197025\nIndia,IND,2017,0.2837092\nIndia,IND,2018,0.282914\nIndia,IND,2019,0.27212596\nIndia,IND,2020,0.27083814\nIndia,IND,2021,0.27299342\nIndia,IND,2022,0.27024287\n```\n\nThis chart makes the change in annual co\u2082 emissions per gdp (kg per international-$) for India look dramatic. Is it?","response":"The values change by -18.13%, from 0.33 kg\/$ to 0.27 kg\/$. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nIndia,IND,1990,0.33009073\nIndia,IND,1991,0.34797308\nIndia,IND,1992,0.35395557\nIndia,IND,1993,0.34832242\nIndia,IND,1994,0.34746158\nIndia,IND,1995,0.34732485\nIndia,IND,1996,0.35118204\nIndia,IND,1997,0.3535413\nIndia,IND,1998,0.34105664\nIndia,IND,1999,0.35463786\nIndia,IND,2000,0.3519603\nIndia,IND,2001,0.34045735\nIndia,IND,2002,0.34140682\nIndia,IND,2003,0.32862514\nIndia,IND,2004,0.32463622\nIndia,IND,2005,0.31854832\nIndia,IND,2006,0.31778064\nIndia,IND,2007,0.3164699\nIndia,IND,2008,0.32054007\nIndia,IND,2009,0.32308692\nIndia,IND,2010,0.3130784\nIndia,IND,2011,0.30865052\nIndia,IND,2012,0.31838238\nIndia,IND,2013,0.31058392\nIndia,IND,2014,0.31243548\nIndia,IND,2015,0.3019429\nIndia,IND,2016,0.29197025\nIndia,IND,2017,0.2837092\nIndia,IND,2018,0.282914\nIndia,IND,2019,0.27212596\nIndia,IND,2020,0.27083814\nIndia,IND,2021,0.27299342\nIndia,IND,2022,0.27024287\n```\n\nThis chart appears to show annual co\u2082 emissions per gdp (kg per international-$) in India rising steeply. How large is the increase actually?","response":"The plotted values run from 0.33 kg\/$ to 0.27 kg\/$, so the actual change is -18.13%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 0.2486 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nIndia,IND,1990,0.33009073\nIndia,IND,1991,0.34797308\nIndia,IND,1992,0.35395557\nIndia,IND,1993,0.34832242\nIndia,IND,1994,0.34746158\nIndia,IND,1995,0.34732485\nIndia,IND,1996,0.35118204\nIndia,IND,1997,0.3535413\nIndia,IND,1998,0.34105664\nIndia,IND,1999,0.35463786\n```\n\nWhat does this chart suggest about the long-run direction of annual co\u2082 emissions per gdp (kg per international-$) in India?","response":"Within the window shown (1990-1999) the series moves +7.44%, but that window runs against the longer record. Across the full series (1990-2022) the change is -18.13%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Annual CO\u2082 emissions per GDP (kg per international-$)\nIndia,IND,1990,0.33009073\nIndia,IND,1991,0.34797308\nIndia,IND,1992,0.35395557\nIndia,IND,1993,0.34832242\nIndia,IND,1994,0.34746158\nIndia,IND,1995,0.34732485\nIndia,IND,1996,0.35118204\nIndia,IND,1997,0.3535413\nIndia,IND,1998,0.34105664\nIndia,IND,1999,0.35463786\nIndia,IND,2000,0.3519603\nIndia,IND,2001,0.34045735\nIndia,IND,2002,0.34140682\nIndia,IND,2003,0.32862514\nIndia,IND,2004,0.32463622\nIndia,IND,2005,0.31854832\nIndia,IND,2006,0.31778064\nIndia,IND,2007,0.3164699\nIndia,IND,2008,0.32054007\nIndia,IND,2009,0.32308692\nIndia,IND,2010,0.3130784\nIndia,IND,2011,0.30865052\nIndia,IND,2012,0.31838238\nIndia,IND,2013,0.31058392\nIndia,IND,2014,0.31243548\nIndia,IND,2015,0.3019429\nIndia,IND,2016,0.29197025\nIndia,IND,2017,0.2837092\nIndia,IND,2018,0.282914\nIndia,IND,2019,0.27212596\nIndia,IND,2020,0.27083814\nIndia,IND,2021,0.27299342\nIndia,IND,2022,0.27024287\n```\n\nWhat was annual co\u2082 emissions per gdp (kg per international-$) for India in 1975?","response":"That year is outside this chart. The series runs 1990 to 2022, and 1975 falls before it begins, so there is no value to read. The earliest point available is 1990, at 0.33 kg\/$.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/co2-intensity__India__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Carbon intensity: CO\u2082 emissions per dollar of GDP","source_citation":"Global Carbon Budget (2025); Bolt and van Zanden \u2013 Maddison Project Database 2023","source_url":"https:\/\/ourworldindata.org\/grapher\/co2-intensity?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nIndia,IND,2000,572.69\nIndia,IND,2001,587.38\nIndia,IND,2002,610.99\nIndia,IND,2003,639.82\nIndia,IND,2004,700.02\nIndia,IND,2005,706.07\nIndia,IND,2006,747.17\nIndia,IND,2007,801.2\nIndia,IND,2008,834.25\nIndia,IND,2009,883.93\nIndia,IND,2010,941.94\nIndia,IND,2011,1037.44\nIndia,IND,2012,1093.06\nIndia,IND,2013,1145.18\nIndia,IND,2014,1259.25\nIndia,IND,2015,1310.65\nIndia,IND,2016,1393.84\nIndia,IND,2017,1460.8\nIndia,IND,2018,1567.81\nIndia,IND,2019,1597.84\nIndia,IND,2020,1563.32\nIndia,IND,2021,1678.69\nIndia,IND,2022,1802.88\nIndia,IND,2023,1916.2\nIndia,IND,2024,2034.22\n```\n\nAccording to this chart, what was electricity demand in India in 2010?","response":"Reading the plotted point for 2010, electricity demand in India was 941.94 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nIndia,IND,2000,572.69\nIndia,IND,2001,587.38\nIndia,IND,2002,610.99\nIndia,IND,2003,639.82\nIndia,IND,2004,700.02\nIndia,IND,2005,706.07\nIndia,IND,2006,747.17\nIndia,IND,2007,801.2\nIndia,IND,2008,834.25\nIndia,IND,2009,883.93\nIndia,IND,2010,941.94\nIndia,IND,2011,1037.44\nIndia,IND,2012,1093.06\nIndia,IND,2013,1145.18\nIndia,IND,2014,1259.25\nIndia,IND,2015,1310.65\nIndia,IND,2016,1393.84\nIndia,IND,2017,1460.8\nIndia,IND,2018,1567.81\nIndia,IND,2019,1597.84\nIndia,IND,2020,1563.32\nIndia,IND,2021,1678.69\nIndia,IND,2022,1802.88\nIndia,IND,2023,1916.2\nIndia,IND,2024,2034.22\n```\n\nIn which year shown does electricity demand reach its highest value for India?","response":"The series peaks in 2024, at 2,034.22 TWh. The lowest point shown is 2000, at 572.69 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nIndia,IND,2000,572.69\nIndia,IND,2001,587.38\nIndia,IND,2002,610.99\nIndia,IND,2003,639.82\nIndia,IND,2004,700.02\nIndia,IND,2005,706.07\nIndia,IND,2006,747.17\nIndia,IND,2007,801.2\nIndia,IND,2008,834.25\nIndia,IND,2009,883.93\nIndia,IND,2010,941.94\nIndia,IND,2011,1037.44\nIndia,IND,2012,1093.06\nIndia,IND,2013,1145.18\nIndia,IND,2014,1259.25\nIndia,IND,2015,1310.65\nIndia,IND,2016,1393.84\nIndia,IND,2017,1460.8\nIndia,IND,2018,1567.81\nIndia,IND,2019,1597.84\nIndia,IND,2020,1563.32\nIndia,IND,2021,1678.69\nIndia,IND,2022,1802.88\nIndia,IND,2023,1916.2\nIndia,IND,2024,2034.22\n```\n\nHow much did electricity demand change for India between 2000 and 2024?","response":"It moved from 572.69 TWh in 2000 to 2,034.22 TWh in 2024, a change of 1,461.53 TWh (+255.20%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nIndia,IND,2000,572.69\nIndia,IND,2001,587.38\nIndia,IND,2002,610.99\nIndia,IND,2003,639.82\nIndia,IND,2004,700.02\nIndia,IND,2005,706.07\nIndia,IND,2006,747.17\nIndia,IND,2007,801.2\nIndia,IND,2008,834.25\nIndia,IND,2009,883.93\nIndia,IND,2010,941.94\nIndia,IND,2011,1037.44\nIndia,IND,2012,1093.06\nIndia,IND,2013,1145.18\nIndia,IND,2014,1259.25\nIndia,IND,2015,1310.65\nIndia,IND,2016,1393.84\nIndia,IND,2017,1460.8\nIndia,IND,2018,1567.81\nIndia,IND,2019,1597.84\nIndia,IND,2020,1563.32\nIndia,IND,2021,1678.69\nIndia,IND,2022,1802.88\nIndia,IND,2023,1916.2\nIndia,IND,2024,2034.22\n```\n\nWas electricity demand in India higher in 2010 or 2015?","response":"Higher in 2015. The chart gives 941.94 TWh for 2010 and 1,310.65 TWh for 2015, a difference of 368.71 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nIndia,IND,2000,572.69\nIndia,IND,2001,587.38\nIndia,IND,2002,610.99\nIndia,IND,2003,639.82\nIndia,IND,2004,700.02\nIndia,IND,2005,706.07\nIndia,IND,2006,747.17\nIndia,IND,2007,801.2\nIndia,IND,2008,834.25\nIndia,IND,2009,883.93\nIndia,IND,2010,941.94\nIndia,IND,2011,1037.44\nIndia,IND,2012,1093.06\nIndia,IND,2013,1145.18\nIndia,IND,2014,1259.25\nIndia,IND,2015,1310.65\nIndia,IND,2016,1393.84\nIndia,IND,2017,1460.8\nIndia,IND,2018,1567.81\nIndia,IND,2019,1597.84\nIndia,IND,2020,1563.32\nIndia,IND,2021,1678.69\nIndia,IND,2022,1802.88\nIndia,IND,2023,1916.2\nIndia,IND,2024,2034.22\n```\n\nAccording to this chart, what was electricity demand in India in 2010?","response":"Reading the plotted point for 2010, electricity demand in India was 941.94 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nIndia,IND,2000,572.69\nIndia,IND,2001,587.38\nIndia,IND,2002,610.99\nIndia,IND,2003,639.82\nIndia,IND,2004,700.02\nIndia,IND,2005,706.07\nIndia,IND,2006,747.17\nIndia,IND,2007,801.2\nIndia,IND,2008,834.25\nIndia,IND,2009,883.93\nIndia,IND,2010,941.94\nIndia,IND,2011,1037.44\nIndia,IND,2012,1093.06\nIndia,IND,2013,1145.18\nIndia,IND,2014,1259.25\nIndia,IND,2015,1310.65\nIndia,IND,2016,1393.84\nIndia,IND,2017,1460.8\nIndia,IND,2018,1567.81\nIndia,IND,2019,1597.84\nIndia,IND,2020,1563.32\nIndia,IND,2021,1678.69\nIndia,IND,2022,1802.88\nIndia,IND,2023,1916.2\nIndia,IND,2024,2034.22\n```\n\nIn which year shown does electricity demand reach its highest value for India?","response":"The series peaks in 2024, at 2,034.22 TWh. The lowest point shown is 2000, at 572.69 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nIndia,IND,2000,572.69\nIndia,IND,2001,587.38\nIndia,IND,2002,610.99\nIndia,IND,2003,639.82\nIndia,IND,2004,700.02\nIndia,IND,2005,706.07\nIndia,IND,2006,747.17\nIndia,IND,2007,801.2\nIndia,IND,2008,834.25\nIndia,IND,2009,883.93\nIndia,IND,2010,941.94\nIndia,IND,2011,1037.44\nIndia,IND,2012,1093.06\nIndia,IND,2013,1145.18\nIndia,IND,2014,1259.25\nIndia,IND,2015,1310.65\nIndia,IND,2016,1393.84\nIndia,IND,2017,1460.8\nIndia,IND,2018,1567.81\nIndia,IND,2019,1597.84\nIndia,IND,2020,1563.32\nIndia,IND,2021,1678.69\nIndia,IND,2022,1802.88\nIndia,IND,2023,1916.2\nIndia,IND,2024,2034.22\n```\n\nHow much did electricity demand change for India between 2000 and 2024?","response":"It moved from 572.69 TWh in 2000 to 2,034.22 TWh in 2024, a change of 1,461.53 TWh (+255.20%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nIndia,IND,2000,572.69\nIndia,IND,2001,587.38\nIndia,IND,2002,610.99\nIndia,IND,2003,639.82\nIndia,IND,2004,700.02\nIndia,IND,2005,706.07\nIndia,IND,2006,747.17\nIndia,IND,2007,801.2\nIndia,IND,2008,834.25\nIndia,IND,2009,883.93\nIndia,IND,2010,941.94\nIndia,IND,2011,1037.44\nIndia,IND,2012,1093.06\nIndia,IND,2013,1145.18\nIndia,IND,2014,1259.25\nIndia,IND,2015,1310.65\nIndia,IND,2016,1393.84\nIndia,IND,2017,1460.8\nIndia,IND,2018,1567.81\nIndia,IND,2019,1597.84\nIndia,IND,2020,1563.32\nIndia,IND,2021,1678.69\nIndia,IND,2022,1802.88\nIndia,IND,2023,1916.2\nIndia,IND,2024,2034.22\n```\n\nWas electricity demand in India higher in 2010 or 2015?","response":"Higher in 2015. The chart gives 941.94 TWh for 2010 and 1,310.65 TWh for 2015, a difference of 368.71 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nIndia,IND,2000,572.69\nIndia,IND,2001,587.38\nIndia,IND,2002,610.99\nIndia,IND,2003,639.82\nIndia,IND,2004,700.02\nIndia,IND,2005,706.07\nIndia,IND,2006,747.17\nIndia,IND,2007,801.2\nIndia,IND,2008,834.25\nIndia,IND,2009,883.93\nIndia,IND,2010,941.94\nIndia,IND,2011,1037.44\nIndia,IND,2012,1093.06\nIndia,IND,2013,1145.18\nIndia,IND,2014,1259.25\nIndia,IND,2015,1310.65\nIndia,IND,2016,1393.84\nIndia,IND,2017,1460.8\nIndia,IND,2018,1567.81\nIndia,IND,2019,1597.84\nIndia,IND,2020,1563.32\nIndia,IND,2021,1678.69\nIndia,IND,2022,1802.88\nIndia,IND,2023,1916.2\nIndia,IND,2024,2034.22\n```\n\nThis chart makes the change in electricity demand for India look dramatic. Is it?","response":"The values change by +255.20%, from 572.69 TWh to 2,034.22 TWh. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nIndia,IND,2000,572.69\nIndia,IND,2001,587.38\nIndia,IND,2002,610.99\nIndia,IND,2003,639.82\nIndia,IND,2004,700.02\nIndia,IND,2005,706.07\nIndia,IND,2006,747.17\nIndia,IND,2007,801.2\nIndia,IND,2008,834.25\nIndia,IND,2009,883.93\nIndia,IND,2010,941.94\nIndia,IND,2011,1037.44\nIndia,IND,2012,1093.06\nIndia,IND,2013,1145.18\nIndia,IND,2014,1259.25\nIndia,IND,2015,1310.65\nIndia,IND,2016,1393.84\nIndia,IND,2017,1460.8\nIndia,IND,2018,1567.81\nIndia,IND,2019,1597.84\nIndia,IND,2020,1563.32\nIndia,IND,2021,1678.69\nIndia,IND,2022,1802.88\nIndia,IND,2023,1916.2\nIndia,IND,2024,2034.22\n```\n\nWhat was electricity demand for India in 1985?","response":"That year is outside this chart. The series runs 2000 to 2024, and 1985 falls before it begins, so there is no value to read. The earliest point available is 2000, at 572.69 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__India__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nChina,CHN,2000,1346.85\nChina,CHN,2001,1472.19\nChina,CHN,2002,1645.61\nChina,CHN,2003,1903.22\nChina,CHN,2004,2197.23\nChina,CHN,2005,2494.08\nChina,CHN,2006,2858.84\nChina,CHN,2007,3271.23\nChina,CHN,2008,3482.96\nChina,CHN,2009,3703.26\nChina,CHN,2010,4193.65\nChina,CHN,2011,4700.28\nChina,CHN,2012,4976.76\nChina,CHN,2013,5420.4\nChina,CHN,2014,5783.04\nChina,CHN,2015,5802.14\nChina,CHN,2016,6120.44\nChina,CHN,2017,6591.39\nChina,CHN,2018,7150.92\nChina,CHN,2019,7486.63\nChina,CHN,2020,7762.03\nChina,CHN,2021,8520.02\nChina,CHN,2022,8835.76\nChina,CHN,2023,9439.37\nChina,CHN,2024,10069.88\n```\n\nAccording to this chart, what was electricity demand in China in 2011?","response":"Reading the plotted point for 2011, electricity demand in China was 4,700.28 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nChina,CHN,2000,1346.85\nChina,CHN,2001,1472.19\nChina,CHN,2002,1645.61\nChina,CHN,2003,1903.22\nChina,CHN,2004,2197.23\nChina,CHN,2005,2494.08\nChina,CHN,2006,2858.84\nChina,CHN,2007,3271.23\nChina,CHN,2008,3482.96\nChina,CHN,2009,3703.26\nChina,CHN,2010,4193.65\nChina,CHN,2011,4700.28\nChina,CHN,2012,4976.76\nChina,CHN,2013,5420.4\nChina,CHN,2014,5783.04\nChina,CHN,2015,5802.14\nChina,CHN,2016,6120.44\nChina,CHN,2017,6591.39\nChina,CHN,2018,7150.92\nChina,CHN,2019,7486.63\nChina,CHN,2020,7762.03\nChina,CHN,2021,8520.02\nChina,CHN,2022,8835.76\nChina,CHN,2023,9439.37\nChina,CHN,2024,10069.88\n```\n\nIn which year shown does electricity demand reach its highest value for China?","response":"The series peaks in 2024, at 10,069.88 TWh. The lowest point shown is 2000, at 1,346.85 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nChina,CHN,2000,1346.85\nChina,CHN,2001,1472.19\nChina,CHN,2002,1645.61\nChina,CHN,2003,1903.22\nChina,CHN,2004,2197.23\nChina,CHN,2005,2494.08\nChina,CHN,2006,2858.84\nChina,CHN,2007,3271.23\nChina,CHN,2008,3482.96\nChina,CHN,2009,3703.26\nChina,CHN,2010,4193.65\nChina,CHN,2011,4700.28\nChina,CHN,2012,4976.76\nChina,CHN,2013,5420.4\nChina,CHN,2014,5783.04\nChina,CHN,2015,5802.14\nChina,CHN,2016,6120.44\nChina,CHN,2017,6591.39\nChina,CHN,2018,7150.92\nChina,CHN,2019,7486.63\nChina,CHN,2020,7762.03\nChina,CHN,2021,8520.02\nChina,CHN,2022,8835.76\nChina,CHN,2023,9439.37\nChina,CHN,2024,10069.88\n```\n\nHow much did electricity demand change for China between 2000 and 2024?","response":"It moved from 1,346.85 TWh in 2000 to 10,069.88 TWh in 2024, a change of 8,723.03 TWh (+647.66%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nChina,CHN,2000,1346.85\nChina,CHN,2001,1472.19\nChina,CHN,2002,1645.61\nChina,CHN,2003,1903.22\nChina,CHN,2004,2197.23\nChina,CHN,2005,2494.08\nChina,CHN,2006,2858.84\nChina,CHN,2007,3271.23\nChina,CHN,2008,3482.96\nChina,CHN,2009,3703.26\nChina,CHN,2010,4193.65\nChina,CHN,2011,4700.28\nChina,CHN,2012,4976.76\nChina,CHN,2013,5420.4\nChina,CHN,2014,5783.04\nChina,CHN,2015,5802.14\nChina,CHN,2016,6120.44\nChina,CHN,2017,6591.39\nChina,CHN,2018,7150.92\nChina,CHN,2019,7486.63\nChina,CHN,2020,7762.03\nChina,CHN,2021,8520.02\nChina,CHN,2022,8835.76\nChina,CHN,2023,9439.37\nChina,CHN,2024,10069.88\n```\n\nWas electricity demand in China higher in 2003 or 2021?","response":"Higher in 2021. The chart gives 1,903.22 TWh for 2003 and 8,520.02 TWh for 2021, a difference of 6,616.8 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nChina,CHN,2000,1346.85\nChina,CHN,2001,1472.19\nChina,CHN,2002,1645.61\nChina,CHN,2003,1903.22\nChina,CHN,2004,2197.23\nChina,CHN,2005,2494.08\nChina,CHN,2006,2858.84\nChina,CHN,2007,3271.23\nChina,CHN,2008,3482.96\nChina,CHN,2009,3703.26\nChina,CHN,2010,4193.65\nChina,CHN,2011,4700.28\nChina,CHN,2012,4976.76\nChina,CHN,2013,5420.4\nChina,CHN,2014,5783.04\nChina,CHN,2015,5802.14\nChina,CHN,2016,6120.44\nChina,CHN,2017,6591.39\nChina,CHN,2018,7150.92\nChina,CHN,2019,7486.63\nChina,CHN,2020,7762.03\nChina,CHN,2021,8520.02\nChina,CHN,2022,8835.76\nChina,CHN,2023,9439.37\nChina,CHN,2024,10069.88\n```\n\nAccording to this chart, what was electricity demand in China in 2011?","response":"Reading the plotted point for 2011, electricity demand in China was 4,700.28 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nChina,CHN,2000,1346.85\nChina,CHN,2001,1472.19\nChina,CHN,2002,1645.61\nChina,CHN,2003,1903.22\nChina,CHN,2004,2197.23\nChina,CHN,2005,2494.08\nChina,CHN,2006,2858.84\nChina,CHN,2007,3271.23\nChina,CHN,2008,3482.96\nChina,CHN,2009,3703.26\nChina,CHN,2010,4193.65\nChina,CHN,2011,4700.28\nChina,CHN,2012,4976.76\nChina,CHN,2013,5420.4\nChina,CHN,2014,5783.04\nChina,CHN,2015,5802.14\nChina,CHN,2016,6120.44\nChina,CHN,2017,6591.39\nChina,CHN,2018,7150.92\nChina,CHN,2019,7486.63\nChina,CHN,2020,7762.03\nChina,CHN,2021,8520.02\nChina,CHN,2022,8835.76\nChina,CHN,2023,9439.37\nChina,CHN,2024,10069.88\n```\n\nIn which year shown does electricity demand reach its highest value for China?","response":"The series peaks in 2024, at 10,069.88 TWh. The lowest point shown is 2000, at 1,346.85 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nChina,CHN,2000,1346.85\nChina,CHN,2001,1472.19\nChina,CHN,2002,1645.61\nChina,CHN,2003,1903.22\nChina,CHN,2004,2197.23\nChina,CHN,2005,2494.08\nChina,CHN,2006,2858.84\nChina,CHN,2007,3271.23\nChina,CHN,2008,3482.96\nChina,CHN,2009,3703.26\nChina,CHN,2010,4193.65\nChina,CHN,2011,4700.28\nChina,CHN,2012,4976.76\nChina,CHN,2013,5420.4\nChina,CHN,2014,5783.04\nChina,CHN,2015,5802.14\nChina,CHN,2016,6120.44\nChina,CHN,2017,6591.39\nChina,CHN,2018,7150.92\nChina,CHN,2019,7486.63\nChina,CHN,2020,7762.03\nChina,CHN,2021,8520.02\nChina,CHN,2022,8835.76\nChina,CHN,2023,9439.37\nChina,CHN,2024,10069.88\n```\n\nHow much did electricity demand change for China between 2000 and 2024?","response":"It moved from 1,346.85 TWh in 2000 to 10,069.88 TWh in 2024, a change of 8,723.03 TWh (+647.66%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nChina,CHN,2000,1346.85\nChina,CHN,2001,1472.19\nChina,CHN,2002,1645.61\nChina,CHN,2003,1903.22\nChina,CHN,2004,2197.23\nChina,CHN,2005,2494.08\nChina,CHN,2006,2858.84\nChina,CHN,2007,3271.23\nChina,CHN,2008,3482.96\nChina,CHN,2009,3703.26\nChina,CHN,2010,4193.65\nChina,CHN,2011,4700.28\nChina,CHN,2012,4976.76\nChina,CHN,2013,5420.4\nChina,CHN,2014,5783.04\nChina,CHN,2015,5802.14\nChina,CHN,2016,6120.44\nChina,CHN,2017,6591.39\nChina,CHN,2018,7150.92\nChina,CHN,2019,7486.63\nChina,CHN,2020,7762.03\nChina,CHN,2021,8520.02\nChina,CHN,2022,8835.76\nChina,CHN,2023,9439.37\nChina,CHN,2024,10069.88\n```\n\nWas electricity demand in China higher in 2003 or 2021?","response":"Higher in 2021. The chart gives 1,903.22 TWh for 2003 and 8,520.02 TWh for 2021, a difference of 6,616.8 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nChina,CHN,2000,1346.85\nChina,CHN,2001,1472.19\nChina,CHN,2002,1645.61\nChina,CHN,2003,1903.22\nChina,CHN,2004,2197.23\nChina,CHN,2005,2494.08\nChina,CHN,2006,2858.84\nChina,CHN,2007,3271.23\nChina,CHN,2008,3482.96\nChina,CHN,2009,3703.26\nChina,CHN,2010,4193.65\nChina,CHN,2011,4700.28\nChina,CHN,2012,4976.76\nChina,CHN,2013,5420.4\nChina,CHN,2014,5783.04\nChina,CHN,2015,5802.14\nChina,CHN,2016,6120.44\nChina,CHN,2017,6591.39\nChina,CHN,2018,7150.92\nChina,CHN,2019,7486.63\nChina,CHN,2020,7762.03\nChina,CHN,2021,8520.02\nChina,CHN,2022,8835.76\nChina,CHN,2023,9439.37\nChina,CHN,2024,10069.88\n```\n\nThis chart makes the change in electricity demand for China look dramatic. Is it?","response":"The values change by +647.66%, from 1,346.85 TWh to 10,069.88 TWh. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nChina,CHN,2000,1346.85\nChina,CHN,2001,1472.19\nChina,CHN,2002,1645.61\nChina,CHN,2003,1903.22\nChina,CHN,2004,2197.23\nChina,CHN,2005,2494.08\nChina,CHN,2006,2858.84\nChina,CHN,2007,3271.23\nChina,CHN,2008,3482.96\nChina,CHN,2009,3703.26\nChina,CHN,2010,4193.65\nChina,CHN,2011,4700.28\nChina,CHN,2012,4976.76\nChina,CHN,2013,5420.4\nChina,CHN,2014,5783.04\nChina,CHN,2015,5802.14\nChina,CHN,2016,6120.44\nChina,CHN,2017,6591.39\nChina,CHN,2018,7150.92\nChina,CHN,2019,7486.63\nChina,CHN,2020,7762.03\nChina,CHN,2021,8520.02\nChina,CHN,2022,8835.76\nChina,CHN,2023,9439.37\nChina,CHN,2024,10069.88\n```\n\nHow does China compare with Chile on this measure?","response":"This chart covers China only, so Chile is not plotted and I cannot compare them from it. The chart does support statements about China on its own: the series runs from 1,346.85 TWh in 2000 to 10,069.88 TWh in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__China__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nBrazil,BRA,2000,391.92\nBrazil,BRA,2001,366.4\nBrazil,BRA,2002,382.28\nBrazil,BRA,2003,402.58\nBrazil,BRA,2004,424.87\nBrazil,BRA,2005,442.11\nBrazil,BRA,2006,460.61\nBrazil,BRA,2007,483.98\nBrazil,BRA,2008,505.39\nBrazil,BRA,2009,506.15\nBrazil,BRA,2010,550.45\nBrazil,BRA,2011,567.65\nBrazil,BRA,2012,592.76\nBrazil,BRA,2013,611.16\nBrazil,BRA,2014,624.33\nBrazil,BRA,2015,615.64\nBrazil,BRA,2016,619.68\nBrazil,BRA,2017,625.67\nBrazil,BRA,2018,636.37\nBrazil,BRA,2019,658.29\nBrazil,BRA,2020,653.48\nBrazil,BRA,2021,679.5\nBrazil,BRA,2022,690.07\nBrazil,BRA,2023,723.23\nBrazil,BRA,2024,757.31\n```\n\nAccording to this chart, what was electricity demand in Brazil in 2009?","response":"Reading the plotted point for 2009, electricity demand in Brazil was 506.15 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nBrazil,BRA,2000,391.92\nBrazil,BRA,2001,366.4\nBrazil,BRA,2002,382.28\nBrazil,BRA,2003,402.58\nBrazil,BRA,2004,424.87\nBrazil,BRA,2005,442.11\nBrazil,BRA,2006,460.61\nBrazil,BRA,2007,483.98\nBrazil,BRA,2008,505.39\nBrazil,BRA,2009,506.15\nBrazil,BRA,2010,550.45\nBrazil,BRA,2011,567.65\nBrazil,BRA,2012,592.76\nBrazil,BRA,2013,611.16\nBrazil,BRA,2014,624.33\nBrazil,BRA,2015,615.64\nBrazil,BRA,2016,619.68\nBrazil,BRA,2017,625.67\nBrazil,BRA,2018,636.37\nBrazil,BRA,2019,658.29\nBrazil,BRA,2020,653.48\nBrazil,BRA,2021,679.5\nBrazil,BRA,2022,690.07\nBrazil,BRA,2023,723.23\nBrazil,BRA,2024,757.31\n```\n\nIn which year shown does electricity demand reach its highest value for Brazil?","response":"The series peaks in 2024, at 757.31 TWh. The lowest point shown is 2001, at 366.4 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nBrazil,BRA,2000,391.92\nBrazil,BRA,2001,366.4\nBrazil,BRA,2002,382.28\nBrazil,BRA,2003,402.58\nBrazil,BRA,2004,424.87\nBrazil,BRA,2005,442.11\nBrazil,BRA,2006,460.61\nBrazil,BRA,2007,483.98\nBrazil,BRA,2008,505.39\nBrazil,BRA,2009,506.15\nBrazil,BRA,2010,550.45\nBrazil,BRA,2011,567.65\nBrazil,BRA,2012,592.76\nBrazil,BRA,2013,611.16\nBrazil,BRA,2014,624.33\nBrazil,BRA,2015,615.64\nBrazil,BRA,2016,619.68\nBrazil,BRA,2017,625.67\nBrazil,BRA,2018,636.37\nBrazil,BRA,2019,658.29\nBrazil,BRA,2020,653.48\nBrazil,BRA,2021,679.5\nBrazil,BRA,2022,690.07\nBrazil,BRA,2023,723.23\nBrazil,BRA,2024,757.31\n```\n\nHow much did electricity demand change for Brazil between 2000 and 2024?","response":"It moved from 391.92 TWh in 2000 to 757.31 TWh in 2024, a change of 365.39 TWh (+93.23%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nBrazil,BRA,2000,391.92\nBrazil,BRA,2001,366.4\nBrazil,BRA,2002,382.28\nBrazil,BRA,2003,402.58\nBrazil,BRA,2004,424.87\nBrazil,BRA,2005,442.11\nBrazil,BRA,2006,460.61\nBrazil,BRA,2007,483.98\nBrazil,BRA,2008,505.39\nBrazil,BRA,2009,506.15\nBrazil,BRA,2010,550.45\nBrazil,BRA,2011,567.65\nBrazil,BRA,2012,592.76\nBrazil,BRA,2013,611.16\nBrazil,BRA,2014,624.33\nBrazil,BRA,2015,615.64\nBrazil,BRA,2016,619.68\nBrazil,BRA,2017,625.67\nBrazil,BRA,2018,636.37\nBrazil,BRA,2019,658.29\nBrazil,BRA,2020,653.48\nBrazil,BRA,2021,679.5\nBrazil,BRA,2022,690.07\nBrazil,BRA,2023,723.23\nBrazil,BRA,2024,757.31\n```\n\nWas electricity demand in Brazil higher in 2006 or 2015?","response":"Higher in 2015. The chart gives 460.61 TWh for 2006 and 615.64 TWh for 2015, a difference of 155.03 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nBrazil,BRA,2000,391.92\nBrazil,BRA,2001,366.4\nBrazil,BRA,2002,382.28\nBrazil,BRA,2003,402.58\nBrazil,BRA,2004,424.87\nBrazil,BRA,2005,442.11\nBrazil,BRA,2006,460.61\nBrazil,BRA,2007,483.98\nBrazil,BRA,2008,505.39\nBrazil,BRA,2009,506.15\nBrazil,BRA,2010,550.45\nBrazil,BRA,2011,567.65\nBrazil,BRA,2012,592.76\nBrazil,BRA,2013,611.16\nBrazil,BRA,2014,624.33\nBrazil,BRA,2015,615.64\nBrazil,BRA,2016,619.68\nBrazil,BRA,2017,625.67\nBrazil,BRA,2018,636.37\nBrazil,BRA,2019,658.29\nBrazil,BRA,2020,653.48\nBrazil,BRA,2021,679.5\nBrazil,BRA,2022,690.07\nBrazil,BRA,2023,723.23\nBrazil,BRA,2024,757.31\n```\n\nAccording to this chart, what was electricity demand in Brazil in 2009?","response":"Reading the plotted point for 2009, electricity demand in Brazil was 506.15 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nBrazil,BRA,2000,391.92\nBrazil,BRA,2001,366.4\nBrazil,BRA,2002,382.28\nBrazil,BRA,2003,402.58\nBrazil,BRA,2004,424.87\nBrazil,BRA,2005,442.11\nBrazil,BRA,2006,460.61\nBrazil,BRA,2007,483.98\nBrazil,BRA,2008,505.39\nBrazil,BRA,2009,506.15\nBrazil,BRA,2010,550.45\nBrazil,BRA,2011,567.65\nBrazil,BRA,2012,592.76\nBrazil,BRA,2013,611.16\nBrazil,BRA,2014,624.33\nBrazil,BRA,2015,615.64\nBrazil,BRA,2016,619.68\nBrazil,BRA,2017,625.67\nBrazil,BRA,2018,636.37\nBrazil,BRA,2019,658.29\nBrazil,BRA,2020,653.48\nBrazil,BRA,2021,679.5\nBrazil,BRA,2022,690.07\nBrazil,BRA,2023,723.23\nBrazil,BRA,2024,757.31\n```\n\nIn which year shown does electricity demand reach its highest value for Brazil?","response":"The series peaks in 2024, at 757.31 TWh. The lowest point shown is 2001, at 366.4 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nBrazil,BRA,2000,391.92\nBrazil,BRA,2001,366.4\nBrazil,BRA,2002,382.28\nBrazil,BRA,2003,402.58\nBrazil,BRA,2004,424.87\nBrazil,BRA,2005,442.11\nBrazil,BRA,2006,460.61\nBrazil,BRA,2007,483.98\nBrazil,BRA,2008,505.39\nBrazil,BRA,2009,506.15\nBrazil,BRA,2010,550.45\nBrazil,BRA,2011,567.65\nBrazil,BRA,2012,592.76\nBrazil,BRA,2013,611.16\nBrazil,BRA,2014,624.33\nBrazil,BRA,2015,615.64\nBrazil,BRA,2016,619.68\nBrazil,BRA,2017,625.67\nBrazil,BRA,2018,636.37\nBrazil,BRA,2019,658.29\nBrazil,BRA,2020,653.48\nBrazil,BRA,2021,679.5\nBrazil,BRA,2022,690.07\nBrazil,BRA,2023,723.23\nBrazil,BRA,2024,757.31\n```\n\nHow much did electricity demand change for Brazil between 2000 and 2024?","response":"It moved from 391.92 TWh in 2000 to 757.31 TWh in 2024, a change of 365.39 TWh (+93.23%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nBrazil,BRA,2000,391.92\nBrazil,BRA,2001,366.4\nBrazil,BRA,2002,382.28\nBrazil,BRA,2003,402.58\nBrazil,BRA,2004,424.87\nBrazil,BRA,2005,442.11\nBrazil,BRA,2006,460.61\nBrazil,BRA,2007,483.98\nBrazil,BRA,2008,505.39\nBrazil,BRA,2009,506.15\nBrazil,BRA,2010,550.45\nBrazil,BRA,2011,567.65\nBrazil,BRA,2012,592.76\nBrazil,BRA,2013,611.16\nBrazil,BRA,2014,624.33\nBrazil,BRA,2015,615.64\nBrazil,BRA,2016,619.68\nBrazil,BRA,2017,625.67\nBrazil,BRA,2018,636.37\nBrazil,BRA,2019,658.29\nBrazil,BRA,2020,653.48\nBrazil,BRA,2021,679.5\nBrazil,BRA,2022,690.07\nBrazil,BRA,2023,723.23\nBrazil,BRA,2024,757.31\n```\n\nWas electricity demand in Brazil higher in 2006 or 2015?","response":"Higher in 2015. The chart gives 460.61 TWh for 2006 and 615.64 TWh for 2015, a difference of 155.03 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nBrazil,BRA,2000,391.92\nBrazil,BRA,2001,366.4\nBrazil,BRA,2002,382.28\nBrazil,BRA,2003,402.58\nBrazil,BRA,2004,424.87\nBrazil,BRA,2005,442.11\nBrazil,BRA,2006,460.61\nBrazil,BRA,2007,483.98\nBrazil,BRA,2008,505.39\nBrazil,BRA,2009,506.15\nBrazil,BRA,2010,550.45\nBrazil,BRA,2011,567.65\nBrazil,BRA,2012,592.76\nBrazil,BRA,2013,611.16\nBrazil,BRA,2014,624.33\nBrazil,BRA,2015,615.64\nBrazil,BRA,2016,619.68\nBrazil,BRA,2017,625.67\nBrazil,BRA,2018,636.37\nBrazil,BRA,2019,658.29\nBrazil,BRA,2020,653.48\nBrazil,BRA,2021,679.5\nBrazil,BRA,2022,690.07\nBrazil,BRA,2023,723.23\nBrazil,BRA,2024,757.31\n```\n\nThis chart appears to show electricity demand in Brazil rising steeply. How large is the increase actually?","response":"The plotted values run from 391.92 TWh to 757.31 TWh, so the actual change is +93.23%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 358.5818 instead of zero, which magnifies the visual change by roughly 2.01x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nBrazil,BRA,2000,391.92\nBrazil,BRA,2001,366.4\nBrazil,BRA,2002,382.28\nBrazil,BRA,2003,402.58\nBrazil,BRA,2004,424.87\nBrazil,BRA,2005,442.11\nBrazil,BRA,2006,460.61\nBrazil,BRA,2007,483.98\nBrazil,BRA,2008,505.39\nBrazil,BRA,2009,506.15\nBrazil,BRA,2010,550.45\nBrazil,BRA,2011,567.65\nBrazil,BRA,2012,592.76\nBrazil,BRA,2013,611.16\nBrazil,BRA,2014,624.33\nBrazil,BRA,2015,615.64\nBrazil,BRA,2016,619.68\nBrazil,BRA,2017,625.67\nBrazil,BRA,2018,636.37\nBrazil,BRA,2019,658.29\nBrazil,BRA,2020,653.48\nBrazil,BRA,2021,679.5\nBrazil,BRA,2022,690.07\nBrazil,BRA,2023,723.23\nBrazil,BRA,2024,757.31\n```\n\nBased on this chart, is electricity demand in Brazil rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 391.92 TWh to 757.31 TWh, a change of +93.23%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nBrazil,BRA,2000,391.92\nBrazil,BRA,2001,366.4\nBrazil,BRA,2002,382.28\nBrazil,BRA,2003,402.58\nBrazil,BRA,2004,424.87\nBrazil,BRA,2005,442.11\nBrazil,BRA,2006,460.61\nBrazil,BRA,2007,483.98\nBrazil,BRA,2008,505.39\nBrazil,BRA,2009,506.15\nBrazil,BRA,2010,550.45\nBrazil,BRA,2011,567.65\nBrazil,BRA,2012,592.76\nBrazil,BRA,2013,611.16\nBrazil,BRA,2014,624.33\nBrazil,BRA,2015,615.64\nBrazil,BRA,2016,619.68\nBrazil,BRA,2017,625.67\nBrazil,BRA,2018,636.37\nBrazil,BRA,2019,658.29\nBrazil,BRA,2020,653.48\nBrazil,BRA,2021,679.5\nBrazil,BRA,2022,690.07\nBrazil,BRA,2023,723.23\nBrazil,BRA,2024,757.31\n```\n\nWhat caused the change in electricity demand for Brazil around 2010?","response":"The chart shows that the change happened: electricity demand moves to 550.45 TWh in 2010. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Brazil__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nNigeria,NGA,2000,14.72\nNigeria,NGA,2001,15.44\nNigeria,NGA,2002,21.52\nNigeria,NGA,2003,20.16\nNigeria,NGA,2004,24.27\nNigeria,NGA,2005,23.55\nNigeria,NGA,2006,23.12\nNigeria,NGA,2007,22.99\nNigeria,NGA,2008,21.12\nNigeria,NGA,2009,19.79\nNigeria,NGA,2010,26.13\nNigeria,NGA,2011,27.04\nNigeria,NGA,2012,28.74\nNigeria,NGA,2013,28.93\nNigeria,NGA,2014,32.28\nNigeria,NGA,2015,33.17\nNigeria,NGA,2016,34.6\nNigeria,NGA,2017,29.78\nNigeria,NGA,2018,33.71\nNigeria,NGA,2019,34.13\nNigeria,NGA,2020,34.99\nNigeria,NGA,2021,36.14\nNigeria,NGA,2022,35.57\nNigeria,NGA,2023,38.6\nNigeria,NGA,2024,35.26\n```\n\nAccording to this chart, what was electricity demand in Nigeria in 2024?","response":"Reading the plotted point for 2024, electricity demand in Nigeria was 35.26 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nNigeria,NGA,2000,14.72\nNigeria,NGA,2001,15.44\nNigeria,NGA,2002,21.52\nNigeria,NGA,2003,20.16\nNigeria,NGA,2004,24.27\nNigeria,NGA,2005,23.55\nNigeria,NGA,2006,23.12\nNigeria,NGA,2007,22.99\nNigeria,NGA,2008,21.12\nNigeria,NGA,2009,19.79\nNigeria,NGA,2010,26.13\nNigeria,NGA,2011,27.04\nNigeria,NGA,2012,28.74\nNigeria,NGA,2013,28.93\nNigeria,NGA,2014,32.28\nNigeria,NGA,2015,33.17\nNigeria,NGA,2016,34.6\nNigeria,NGA,2017,29.78\nNigeria,NGA,2018,33.71\nNigeria,NGA,2019,34.13\nNigeria,NGA,2020,34.99\nNigeria,NGA,2021,36.14\nNigeria,NGA,2022,35.57\nNigeria,NGA,2023,38.6\nNigeria,NGA,2024,35.26\n```\n\nIn which year shown does electricity demand reach its highest value for Nigeria?","response":"The series peaks in 2023, at 38.6 TWh. The lowest point shown is 2000, at 14.72 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nNigeria,NGA,2000,14.72\nNigeria,NGA,2001,15.44\nNigeria,NGA,2002,21.52\nNigeria,NGA,2003,20.16\nNigeria,NGA,2004,24.27\nNigeria,NGA,2005,23.55\nNigeria,NGA,2006,23.12\nNigeria,NGA,2007,22.99\nNigeria,NGA,2008,21.12\nNigeria,NGA,2009,19.79\nNigeria,NGA,2010,26.13\nNigeria,NGA,2011,27.04\nNigeria,NGA,2012,28.74\nNigeria,NGA,2013,28.93\nNigeria,NGA,2014,32.28\nNigeria,NGA,2015,33.17\nNigeria,NGA,2016,34.6\nNigeria,NGA,2017,29.78\nNigeria,NGA,2018,33.71\nNigeria,NGA,2019,34.13\nNigeria,NGA,2020,34.99\nNigeria,NGA,2021,36.14\nNigeria,NGA,2022,35.57\nNigeria,NGA,2023,38.6\nNigeria,NGA,2024,35.26\n```\n\nHow much did electricity demand change for Nigeria between 2000 and 2024?","response":"It moved from 14.72 TWh in 2000 to 35.26 TWh in 2024, a change of 20.54 TWh (+139.54%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nNigeria,NGA,2000,14.72\nNigeria,NGA,2001,15.44\nNigeria,NGA,2002,21.52\nNigeria,NGA,2003,20.16\nNigeria,NGA,2004,24.27\nNigeria,NGA,2005,23.55\nNigeria,NGA,2006,23.12\nNigeria,NGA,2007,22.99\nNigeria,NGA,2008,21.12\nNigeria,NGA,2009,19.79\nNigeria,NGA,2010,26.13\nNigeria,NGA,2011,27.04\nNigeria,NGA,2012,28.74\nNigeria,NGA,2013,28.93\nNigeria,NGA,2014,32.28\nNigeria,NGA,2015,33.17\nNigeria,NGA,2016,34.6\nNigeria,NGA,2017,29.78\nNigeria,NGA,2018,33.71\nNigeria,NGA,2019,34.13\nNigeria,NGA,2020,34.99\nNigeria,NGA,2021,36.14\nNigeria,NGA,2022,35.57\nNigeria,NGA,2023,38.6\nNigeria,NGA,2024,35.26\n```\n\nWas electricity demand in Nigeria higher in 2000 or 2021?","response":"Higher in 2021. The chart gives 14.72 TWh for 2000 and 36.14 TWh for 2021, a difference of 21.42 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nNigeria,NGA,2000,14.72\nNigeria,NGA,2001,15.44\nNigeria,NGA,2002,21.52\nNigeria,NGA,2003,20.16\nNigeria,NGA,2004,24.27\nNigeria,NGA,2005,23.55\nNigeria,NGA,2006,23.12\nNigeria,NGA,2007,22.99\nNigeria,NGA,2008,21.12\nNigeria,NGA,2009,19.79\nNigeria,NGA,2010,26.13\nNigeria,NGA,2011,27.04\nNigeria,NGA,2012,28.74\nNigeria,NGA,2013,28.93\nNigeria,NGA,2014,32.28\nNigeria,NGA,2015,33.17\nNigeria,NGA,2016,34.6\nNigeria,NGA,2017,29.78\nNigeria,NGA,2018,33.71\nNigeria,NGA,2019,34.13\nNigeria,NGA,2020,34.99\nNigeria,NGA,2021,36.14\nNigeria,NGA,2022,35.57\nNigeria,NGA,2023,38.6\nNigeria,NGA,2024,35.26\n```\n\nAccording to this chart, what was electricity demand in Nigeria in 2024?","response":"Reading the plotted point for 2024, electricity demand in Nigeria was 35.26 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nNigeria,NGA,2000,14.72\nNigeria,NGA,2001,15.44\nNigeria,NGA,2002,21.52\nNigeria,NGA,2003,20.16\nNigeria,NGA,2004,24.27\nNigeria,NGA,2005,23.55\nNigeria,NGA,2006,23.12\nNigeria,NGA,2007,22.99\nNigeria,NGA,2008,21.12\nNigeria,NGA,2009,19.79\nNigeria,NGA,2010,26.13\nNigeria,NGA,2011,27.04\nNigeria,NGA,2012,28.74\nNigeria,NGA,2013,28.93\nNigeria,NGA,2014,32.28\nNigeria,NGA,2015,33.17\nNigeria,NGA,2016,34.6\nNigeria,NGA,2017,29.78\nNigeria,NGA,2018,33.71\nNigeria,NGA,2019,34.13\nNigeria,NGA,2020,34.99\nNigeria,NGA,2021,36.14\nNigeria,NGA,2022,35.57\nNigeria,NGA,2023,38.6\nNigeria,NGA,2024,35.26\n```\n\nIn which year shown does electricity demand reach its highest value for Nigeria?","response":"The series peaks in 2023, at 38.6 TWh. The lowest point shown is 2000, at 14.72 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nNigeria,NGA,2000,14.72\nNigeria,NGA,2001,15.44\nNigeria,NGA,2002,21.52\nNigeria,NGA,2003,20.16\nNigeria,NGA,2004,24.27\nNigeria,NGA,2005,23.55\nNigeria,NGA,2006,23.12\nNigeria,NGA,2007,22.99\nNigeria,NGA,2008,21.12\nNigeria,NGA,2009,19.79\nNigeria,NGA,2010,26.13\nNigeria,NGA,2011,27.04\nNigeria,NGA,2012,28.74\nNigeria,NGA,2013,28.93\nNigeria,NGA,2014,32.28\nNigeria,NGA,2015,33.17\nNigeria,NGA,2016,34.6\nNigeria,NGA,2017,29.78\nNigeria,NGA,2018,33.71\nNigeria,NGA,2019,34.13\nNigeria,NGA,2020,34.99\nNigeria,NGA,2021,36.14\nNigeria,NGA,2022,35.57\nNigeria,NGA,2023,38.6\nNigeria,NGA,2024,35.26\n```\n\nHow much did electricity demand change for Nigeria between 2000 and 2024?","response":"It moved from 14.72 TWh in 2000 to 35.26 TWh in 2024, a change of 20.54 TWh (+139.54%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nNigeria,NGA,2000,14.72\nNigeria,NGA,2001,15.44\nNigeria,NGA,2002,21.52\nNigeria,NGA,2003,20.16\nNigeria,NGA,2004,24.27\nNigeria,NGA,2005,23.55\nNigeria,NGA,2006,23.12\nNigeria,NGA,2007,22.99\nNigeria,NGA,2008,21.12\nNigeria,NGA,2009,19.79\nNigeria,NGA,2010,26.13\nNigeria,NGA,2011,27.04\nNigeria,NGA,2012,28.74\nNigeria,NGA,2013,28.93\nNigeria,NGA,2014,32.28\nNigeria,NGA,2015,33.17\nNigeria,NGA,2016,34.6\nNigeria,NGA,2017,29.78\nNigeria,NGA,2018,33.71\nNigeria,NGA,2019,34.13\nNigeria,NGA,2020,34.99\nNigeria,NGA,2021,36.14\nNigeria,NGA,2022,35.57\nNigeria,NGA,2023,38.6\nNigeria,NGA,2024,35.26\n```\n\nWas electricity demand in Nigeria higher in 2000 or 2021?","response":"Higher in 2021. The chart gives 14.72 TWh for 2000 and 36.14 TWh for 2021, a difference of 21.42 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nNigeria,NGA,2000,14.72\nNigeria,NGA,2001,15.44\nNigeria,NGA,2002,21.52\nNigeria,NGA,2003,20.16\nNigeria,NGA,2004,24.27\nNigeria,NGA,2005,23.55\nNigeria,NGA,2006,23.12\nNigeria,NGA,2007,22.99\nNigeria,NGA,2008,21.12\nNigeria,NGA,2009,19.79\nNigeria,NGA,2010,26.13\nNigeria,NGA,2011,27.04\nNigeria,NGA,2012,28.74\nNigeria,NGA,2013,28.93\nNigeria,NGA,2014,32.28\nNigeria,NGA,2015,33.17\nNigeria,NGA,2016,34.6\nNigeria,NGA,2017,29.78\nNigeria,NGA,2018,33.71\nNigeria,NGA,2019,34.13\nNigeria,NGA,2020,34.99\nNigeria,NGA,2021,36.14\nNigeria,NGA,2022,35.57\nNigeria,NGA,2023,38.6\nNigeria,NGA,2024,35.26\n```\n\nBased on this chart, is electricity demand in Nigeria rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 14.72 TWh to 35.26 TWh, a change of +139.54%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nNigeria,NGA,2000,14.72\nNigeria,NGA,2001,15.44\nNigeria,NGA,2002,21.52\nNigeria,NGA,2003,20.16\nNigeria,NGA,2004,24.27\nNigeria,NGA,2005,23.55\nNigeria,NGA,2006,23.12\nNigeria,NGA,2007,22.99\nNigeria,NGA,2008,21.12\nNigeria,NGA,2009,19.79\nNigeria,NGA,2010,26.13\nNigeria,NGA,2011,27.04\nNigeria,NGA,2012,28.74\nNigeria,NGA,2013,28.93\nNigeria,NGA,2014,32.28\nNigeria,NGA,2015,33.17\nNigeria,NGA,2016,34.6\nNigeria,NGA,2017,29.78\nNigeria,NGA,2018,33.71\nNigeria,NGA,2019,34.13\nNigeria,NGA,2020,34.99\nNigeria,NGA,2021,36.14\nNigeria,NGA,2022,35.57\nNigeria,NGA,2023,38.6\nNigeria,NGA,2024,35.26\n```\n\nThis chart makes the change in electricity demand for Nigeria look dramatic. Is it?","response":"The values change by +139.54%, from 14.72 TWh to 35.26 TWh. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nNigeria,NGA,2000,14.72\nNigeria,NGA,2001,15.44\nNigeria,NGA,2002,21.52\nNigeria,NGA,2003,20.16\nNigeria,NGA,2004,24.27\nNigeria,NGA,2005,23.55\nNigeria,NGA,2006,23.12\nNigeria,NGA,2007,22.99\nNigeria,NGA,2008,21.12\nNigeria,NGA,2009,19.79\nNigeria,NGA,2010,26.13\nNigeria,NGA,2011,27.04\nNigeria,NGA,2012,28.74\nNigeria,NGA,2013,28.93\nNigeria,NGA,2014,32.28\nNigeria,NGA,2015,33.17\nNigeria,NGA,2016,34.6\nNigeria,NGA,2017,29.78\nNigeria,NGA,2018,33.71\nNigeria,NGA,2019,34.13\nNigeria,NGA,2020,34.99\nNigeria,NGA,2021,36.14\nNigeria,NGA,2022,35.57\nNigeria,NGA,2023,38.6\nNigeria,NGA,2024,35.26\n```\n\nHow does Nigeria compare with Kenya on this measure?","response":"This chart covers Nigeria only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about Nigeria on its own: the series runs from 14.72 TWh in 2000 to 35.26 TWh in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Nigeria__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nJapan,JPN,2000,1099.67\nJapan,JPN,2001,1083.14\nJapan,JPN,2002,1103.07\nJapan,JPN,2003,1092.59\nJapan,JPN,2004,1121.19\nJapan,JPN,2005,1153.07\nJapan,JPN,2006,1164.35\nJapan,JPN,2007,1180.11\nJapan,JPN,2008,1183.7\nJapan,JPN,2009,1114.02\nJapan,JPN,2010,1156.04\nJapan,JPN,2011,1104.2\nJapan,JPN,2012,1106.88\nJapan,JPN,2013,1087.76\nJapan,JPN,2014,1062.72\nJapan,JPN,2015,1030.12\nJapan,JPN,2016,1063.7\nJapan,JPN,2017,1076.86\nJapan,JPN,2018,1082.93\nJapan,JPN,2019,1047.4\nJapan,JPN,2020,1011.03\nJapan,JPN,2021,1034.67\nJapan,JPN,2022,1040.57\nJapan,JPN,2023,1006.73\nJapan,JPN,2024,1016.39\n```\n\nAccording to this chart, what was electricity demand in Japan in 2017?","response":"Reading the plotted point for 2017, electricity demand in Japan was 1,076.86 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nJapan,JPN,2000,1099.67\nJapan,JPN,2001,1083.14\nJapan,JPN,2002,1103.07\nJapan,JPN,2003,1092.59\nJapan,JPN,2004,1121.19\nJapan,JPN,2005,1153.07\nJapan,JPN,2006,1164.35\nJapan,JPN,2007,1180.11\nJapan,JPN,2008,1183.7\nJapan,JPN,2009,1114.02\nJapan,JPN,2010,1156.04\nJapan,JPN,2011,1104.2\nJapan,JPN,2012,1106.88\nJapan,JPN,2013,1087.76\nJapan,JPN,2014,1062.72\nJapan,JPN,2015,1030.12\nJapan,JPN,2016,1063.7\nJapan,JPN,2017,1076.86\nJapan,JPN,2018,1082.93\nJapan,JPN,2019,1047.4\nJapan,JPN,2020,1011.03\nJapan,JPN,2021,1034.67\nJapan,JPN,2022,1040.57\nJapan,JPN,2023,1006.73\nJapan,JPN,2024,1016.39\n```\n\nIn which year shown does electricity demand reach its highest value for Japan?","response":"The series peaks in 2008, at 1,183.7 TWh. The lowest point shown is 2023, at 1,006.73 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nJapan,JPN,2000,1099.67\nJapan,JPN,2001,1083.14\nJapan,JPN,2002,1103.07\nJapan,JPN,2003,1092.59\nJapan,JPN,2004,1121.19\nJapan,JPN,2005,1153.07\nJapan,JPN,2006,1164.35\nJapan,JPN,2007,1180.11\nJapan,JPN,2008,1183.7\nJapan,JPN,2009,1114.02\nJapan,JPN,2010,1156.04\nJapan,JPN,2011,1104.2\nJapan,JPN,2012,1106.88\nJapan,JPN,2013,1087.76\nJapan,JPN,2014,1062.72\nJapan,JPN,2015,1030.12\nJapan,JPN,2016,1063.7\nJapan,JPN,2017,1076.86\nJapan,JPN,2018,1082.93\nJapan,JPN,2019,1047.4\nJapan,JPN,2020,1011.03\nJapan,JPN,2021,1034.67\nJapan,JPN,2022,1040.57\nJapan,JPN,2023,1006.73\nJapan,JPN,2024,1016.39\n```\n\nHow much did electricity demand change for Japan between 2000 and 2024?","response":"It moved from 1,099.67 TWh in 2000 to 1,016.39 TWh in 2024, a change of -83.28 TWh (-7.57%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nJapan,JPN,2000,1099.67\nJapan,JPN,2001,1083.14\nJapan,JPN,2002,1103.07\nJapan,JPN,2003,1092.59\nJapan,JPN,2004,1121.19\nJapan,JPN,2005,1153.07\nJapan,JPN,2006,1164.35\nJapan,JPN,2007,1180.11\nJapan,JPN,2008,1183.7\nJapan,JPN,2009,1114.02\nJapan,JPN,2010,1156.04\nJapan,JPN,2011,1104.2\nJapan,JPN,2012,1106.88\nJapan,JPN,2013,1087.76\nJapan,JPN,2014,1062.72\nJapan,JPN,2015,1030.12\nJapan,JPN,2016,1063.7\nJapan,JPN,2017,1076.86\nJapan,JPN,2018,1082.93\nJapan,JPN,2019,1047.4\nJapan,JPN,2020,1011.03\nJapan,JPN,2021,1034.67\nJapan,JPN,2022,1040.57\nJapan,JPN,2023,1006.73\nJapan,JPN,2024,1016.39\n```\n\nWas electricity demand in Japan higher in 2006 or 2015?","response":"Higher in 2006. The chart gives 1,164.35 TWh for 2006 and 1,030.12 TWh for 2015, a difference of 134.23 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nJapan,JPN,2000,1099.67\nJapan,JPN,2001,1083.14\nJapan,JPN,2002,1103.07\nJapan,JPN,2003,1092.59\nJapan,JPN,2004,1121.19\nJapan,JPN,2005,1153.07\nJapan,JPN,2006,1164.35\nJapan,JPN,2007,1180.11\nJapan,JPN,2008,1183.7\nJapan,JPN,2009,1114.02\nJapan,JPN,2010,1156.04\nJapan,JPN,2011,1104.2\nJapan,JPN,2012,1106.88\nJapan,JPN,2013,1087.76\nJapan,JPN,2014,1062.72\nJapan,JPN,2015,1030.12\nJapan,JPN,2016,1063.7\nJapan,JPN,2017,1076.86\nJapan,JPN,2018,1082.93\nJapan,JPN,2019,1047.4\nJapan,JPN,2020,1011.03\nJapan,JPN,2021,1034.67\nJapan,JPN,2022,1040.57\nJapan,JPN,2023,1006.73\nJapan,JPN,2024,1016.39\n```\n\nAccording to this chart, what was electricity demand in Japan in 2017?","response":"Reading the plotted point for 2017, electricity demand in Japan was 1,076.86 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nJapan,JPN,2000,1099.67\nJapan,JPN,2001,1083.14\nJapan,JPN,2002,1103.07\nJapan,JPN,2003,1092.59\nJapan,JPN,2004,1121.19\nJapan,JPN,2005,1153.07\nJapan,JPN,2006,1164.35\nJapan,JPN,2007,1180.11\nJapan,JPN,2008,1183.7\nJapan,JPN,2009,1114.02\nJapan,JPN,2010,1156.04\nJapan,JPN,2011,1104.2\nJapan,JPN,2012,1106.88\nJapan,JPN,2013,1087.76\nJapan,JPN,2014,1062.72\nJapan,JPN,2015,1030.12\nJapan,JPN,2016,1063.7\nJapan,JPN,2017,1076.86\nJapan,JPN,2018,1082.93\nJapan,JPN,2019,1047.4\nJapan,JPN,2020,1011.03\nJapan,JPN,2021,1034.67\nJapan,JPN,2022,1040.57\nJapan,JPN,2023,1006.73\nJapan,JPN,2024,1016.39\n```\n\nIn which year shown does electricity demand reach its highest value for Japan?","response":"The series peaks in 2008, at 1,183.7 TWh. The lowest point shown is 2023, at 1,006.73 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nJapan,JPN,2000,1099.67\nJapan,JPN,2001,1083.14\nJapan,JPN,2002,1103.07\nJapan,JPN,2003,1092.59\nJapan,JPN,2004,1121.19\nJapan,JPN,2005,1153.07\nJapan,JPN,2006,1164.35\nJapan,JPN,2007,1180.11\nJapan,JPN,2008,1183.7\nJapan,JPN,2009,1114.02\nJapan,JPN,2010,1156.04\nJapan,JPN,2011,1104.2\nJapan,JPN,2012,1106.88\nJapan,JPN,2013,1087.76\nJapan,JPN,2014,1062.72\nJapan,JPN,2015,1030.12\nJapan,JPN,2016,1063.7\nJapan,JPN,2017,1076.86\nJapan,JPN,2018,1082.93\nJapan,JPN,2019,1047.4\nJapan,JPN,2020,1011.03\nJapan,JPN,2021,1034.67\nJapan,JPN,2022,1040.57\nJapan,JPN,2023,1006.73\nJapan,JPN,2024,1016.39\n```\n\nHow much did electricity demand change for Japan between 2000 and 2024?","response":"It moved from 1,099.67 TWh in 2000 to 1,016.39 TWh in 2024, a change of -83.28 TWh (-7.57%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nJapan,JPN,2000,1099.67\nJapan,JPN,2001,1083.14\nJapan,JPN,2002,1103.07\nJapan,JPN,2003,1092.59\nJapan,JPN,2004,1121.19\nJapan,JPN,2005,1153.07\nJapan,JPN,2006,1164.35\nJapan,JPN,2007,1180.11\nJapan,JPN,2008,1183.7\nJapan,JPN,2009,1114.02\nJapan,JPN,2010,1156.04\nJapan,JPN,2011,1104.2\nJapan,JPN,2012,1106.88\nJapan,JPN,2013,1087.76\nJapan,JPN,2014,1062.72\nJapan,JPN,2015,1030.12\nJapan,JPN,2016,1063.7\nJapan,JPN,2017,1076.86\nJapan,JPN,2018,1082.93\nJapan,JPN,2019,1047.4\nJapan,JPN,2020,1011.03\nJapan,JPN,2021,1034.67\nJapan,JPN,2022,1040.57\nJapan,JPN,2023,1006.73\nJapan,JPN,2024,1016.39\n```\n\nWas electricity demand in Japan higher in 2006 or 2015?","response":"Higher in 2006. The chart gives 1,164.35 TWh for 2006 and 1,030.12 TWh for 2015, a difference of 134.23 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nJapan,JPN,2000,1099.67\nJapan,JPN,2001,1083.14\nJapan,JPN,2002,1103.07\nJapan,JPN,2003,1092.59\nJapan,JPN,2004,1121.19\nJapan,JPN,2005,1153.07\nJapan,JPN,2006,1164.35\nJapan,JPN,2007,1180.11\nJapan,JPN,2008,1183.7\nJapan,JPN,2009,1114.02\nJapan,JPN,2010,1156.04\nJapan,JPN,2011,1104.2\nJapan,JPN,2012,1106.88\nJapan,JPN,2013,1087.76\nJapan,JPN,2014,1062.72\nJapan,JPN,2015,1030.12\nJapan,JPN,2016,1063.7\nJapan,JPN,2017,1076.86\nJapan,JPN,2018,1082.93\nJapan,JPN,2019,1047.4\nJapan,JPN,2020,1011.03\nJapan,JPN,2021,1034.67\nJapan,JPN,2022,1040.57\nJapan,JPN,2023,1006.73\nJapan,JPN,2024,1016.39\n```\n\nThis chart makes the change in electricity demand for Japan look dramatic. Is it?","response":"The values change by -7.57%, from 1,099.67 TWh to 1,016.39 TWh. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nJapan,JPN,2000,1099.67\nJapan,JPN,2001,1083.14\nJapan,JPN,2002,1103.07\nJapan,JPN,2003,1092.59\nJapan,JPN,2004,1121.19\nJapan,JPN,2005,1153.07\nJapan,JPN,2006,1164.35\nJapan,JPN,2007,1180.11\nJapan,JPN,2008,1183.7\nJapan,JPN,2009,1114.02\nJapan,JPN,2010,1156.04\nJapan,JPN,2011,1104.2\nJapan,JPN,2012,1106.88\nJapan,JPN,2013,1087.76\nJapan,JPN,2014,1062.72\nJapan,JPN,2015,1030.12\nJapan,JPN,2016,1063.7\nJapan,JPN,2017,1076.86\nJapan,JPN,2018,1082.93\nJapan,JPN,2019,1047.4\nJapan,JPN,2020,1011.03\nJapan,JPN,2021,1034.67\nJapan,JPN,2022,1040.57\nJapan,JPN,2023,1006.73\nJapan,JPN,2024,1016.39\n```\n\nThis chart appears to show electricity demand in Japan rising steeply. How large is the increase actually?","response":"The plotted values run from 1,099.67 TWh to 1,016.39 TWh, so the actual change is -7.57%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 882.149 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nJapan,JPN,2000,1099.67\nJapan,JPN,2001,1083.14\nJapan,JPN,2002,1103.07\nJapan,JPN,2003,1092.59\nJapan,JPN,2004,1121.19\nJapan,JPN,2005,1153.07\nJapan,JPN,2006,1164.35\nJapan,JPN,2007,1180.11\nJapan,JPN,2008,1183.7\n```\n\nWhat does this chart suggest about the long-run direction of electricity demand in Japan?","response":"Within the window shown (2000-2008) the series moves +7.64%, but that window runs against the longer record. Across the full series (2000-2024) the change is -7.57%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Electricity demand\nJapan,JPN,2000,1099.67\nJapan,JPN,2001,1083.14\nJapan,JPN,2002,1103.07\nJapan,JPN,2003,1092.59\nJapan,JPN,2004,1121.19\nJapan,JPN,2005,1153.07\nJapan,JPN,2006,1164.35\nJapan,JPN,2007,1180.11\nJapan,JPN,2008,1183.7\nJapan,JPN,2009,1114.02\nJapan,JPN,2010,1156.04\nJapan,JPN,2011,1104.2\nJapan,JPN,2012,1106.88\nJapan,JPN,2013,1087.76\nJapan,JPN,2014,1062.72\nJapan,JPN,2015,1030.12\nJapan,JPN,2016,1063.7\nJapan,JPN,2017,1076.86\nJapan,JPN,2018,1082.93\nJapan,JPN,2019,1047.4\nJapan,JPN,2020,1011.03\nJapan,JPN,2021,1034.67\nJapan,JPN,2022,1040.57\nJapan,JPN,2023,1006.73\nJapan,JPN,2024,1016.39\n```\n\nWhat was electricity demand for Japan in 1985?","response":"That year is outside this chart. The series runs 2000 to 2024, and 1985 falls before it begins, so there is no value to read. The earliest point available is 2000, at 1,099.67 TWh.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/electricity-demand__Japan__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Electricity demand","source_citation":"Ember (2026)","source_url":"https:\/\/ourworldindata.org\/grapher\/electricity-demand?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nGermany,DEU,1995,11327000.0\nGermany,DEU,1996,11332400.0\nGermany,DEU,1997,11337800.0\nGermany,DEU,1998,11343200.0\nGermany,DEU,1999,11348600.0\nGermany,DEU,2000,11354000.0\nGermany,DEU,2001,11359500.0\nGermany,DEU,2002,11365000.0\nGermany,DEU,2003,11370500.0\nGermany,DEU,2004,11376000.0\nGermany,DEU,2005,11381500.0\nGermany,DEU,2006,11387000.0\nGermany,DEU,2007,11392500.0\nGermany,DEU,2008,11398000.0\nGermany,DEU,2009,11403500.0\nGermany,DEU,2010,11409000.0\nGermany,DEU,2011,11413880.0\nGermany,DEU,2012,11418760.0\nGermany,DEU,2013,11423640.0\nGermany,DEU,2014,11428520.0\nGermany,DEU,2015,11433400.0\nGermany,DEU,2016,11438200.0\nGermany,DEU,2017,11443000.0\nGermany,DEU,2018,11447800.0\nGermany,DEU,2019,11452600.0\nGermany,DEU,2020,11457400.0\nGermany,DEU,2021,11462200.0\nGermany,DEU,2022,11467000.0\nGermany,DEU,2023,11471800.0\nGermany,DEU,2024,11476600.0\n```\n\nAccording to this chart, what was forest area in Germany in 2000?","response":"Reading the plotted point for 2000, forest area in Germany was 11,354,000 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nGermany,DEU,1995,11327000.0\nGermany,DEU,1996,11332400.0\nGermany,DEU,1997,11337800.0\nGermany,DEU,1998,11343200.0\nGermany,DEU,1999,11348600.0\nGermany,DEU,2000,11354000.0\nGermany,DEU,2001,11359500.0\nGermany,DEU,2002,11365000.0\nGermany,DEU,2003,11370500.0\nGermany,DEU,2004,11376000.0\nGermany,DEU,2005,11381500.0\nGermany,DEU,2006,11387000.0\nGermany,DEU,2007,11392500.0\nGermany,DEU,2008,11398000.0\nGermany,DEU,2009,11403500.0\nGermany,DEU,2010,11409000.0\nGermany,DEU,2011,11413880.0\nGermany,DEU,2012,11418760.0\nGermany,DEU,2013,11423640.0\nGermany,DEU,2014,11428520.0\nGermany,DEU,2015,11433400.0\nGermany,DEU,2016,11438200.0\nGermany,DEU,2017,11443000.0\nGermany,DEU,2018,11447800.0\nGermany,DEU,2019,11452600.0\nGermany,DEU,2020,11457400.0\nGermany,DEU,2021,11462200.0\nGermany,DEU,2022,11467000.0\nGermany,DEU,2023,11471800.0\nGermany,DEU,2024,11476600.0\n```\n\nIn which year shown does forest area reach its highest value for Germany?","response":"The series peaks in 2024, at 11,476,600 ha. The lowest point shown is 1995, at 11,327,000 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nGermany,DEU,1995,11327000.0\nGermany,DEU,1996,11332400.0\nGermany,DEU,1997,11337800.0\nGermany,DEU,1998,11343200.0\nGermany,DEU,1999,11348600.0\nGermany,DEU,2000,11354000.0\nGermany,DEU,2001,11359500.0\nGermany,DEU,2002,11365000.0\nGermany,DEU,2003,11370500.0\nGermany,DEU,2004,11376000.0\nGermany,DEU,2005,11381500.0\nGermany,DEU,2006,11387000.0\nGermany,DEU,2007,11392500.0\nGermany,DEU,2008,11398000.0\nGermany,DEU,2009,11403500.0\nGermany,DEU,2010,11409000.0\nGermany,DEU,2011,11413880.0\nGermany,DEU,2012,11418760.0\nGermany,DEU,2013,11423640.0\nGermany,DEU,2014,11428520.0\nGermany,DEU,2015,11433400.0\nGermany,DEU,2016,11438200.0\nGermany,DEU,2017,11443000.0\nGermany,DEU,2018,11447800.0\nGermany,DEU,2019,11452600.0\nGermany,DEU,2020,11457400.0\nGermany,DEU,2021,11462200.0\nGermany,DEU,2022,11467000.0\nGermany,DEU,2023,11471800.0\nGermany,DEU,2024,11476600.0\n```\n\nHow much did forest area change for Germany between 1995 and 2024?","response":"It moved from 11,327,000 ha in 1995 to 11,476,600 ha in 2024, a change of 149,600 ha (+1.32%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nGermany,DEU,1995,11327000.0\nGermany,DEU,1996,11332400.0\nGermany,DEU,1997,11337800.0\nGermany,DEU,1998,11343200.0\nGermany,DEU,1999,11348600.0\nGermany,DEU,2000,11354000.0\nGermany,DEU,2001,11359500.0\nGermany,DEU,2002,11365000.0\nGermany,DEU,2003,11370500.0\nGermany,DEU,2004,11376000.0\nGermany,DEU,2005,11381500.0\nGermany,DEU,2006,11387000.0\nGermany,DEU,2007,11392500.0\nGermany,DEU,2008,11398000.0\nGermany,DEU,2009,11403500.0\nGermany,DEU,2010,11409000.0\nGermany,DEU,2011,11413880.0\nGermany,DEU,2012,11418760.0\nGermany,DEU,2013,11423640.0\nGermany,DEU,2014,11428520.0\nGermany,DEU,2015,11433400.0\nGermany,DEU,2016,11438200.0\nGermany,DEU,2017,11443000.0\nGermany,DEU,2018,11447800.0\nGermany,DEU,2019,11452600.0\nGermany,DEU,2020,11457400.0\nGermany,DEU,2021,11462200.0\nGermany,DEU,2022,11467000.0\nGermany,DEU,2023,11471800.0\nGermany,DEU,2024,11476600.0\n```\n\nWas forest area in Germany higher in 2002 or 2021?","response":"Higher in 2021. The chart gives 11,365,000 ha for 2002 and 11,462,200 ha for 2021, a difference of 97,200 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nGermany,DEU,1995,11327000.0\nGermany,DEU,1996,11332400.0\nGermany,DEU,1997,11337800.0\nGermany,DEU,1998,11343200.0\nGermany,DEU,1999,11348600.0\nGermany,DEU,2000,11354000.0\nGermany,DEU,2001,11359500.0\nGermany,DEU,2002,11365000.0\nGermany,DEU,2003,11370500.0\nGermany,DEU,2004,11376000.0\nGermany,DEU,2005,11381500.0\nGermany,DEU,2006,11387000.0\nGermany,DEU,2007,11392500.0\nGermany,DEU,2008,11398000.0\nGermany,DEU,2009,11403500.0\nGermany,DEU,2010,11409000.0\nGermany,DEU,2011,11413880.0\nGermany,DEU,2012,11418760.0\nGermany,DEU,2013,11423640.0\nGermany,DEU,2014,11428520.0\nGermany,DEU,2015,11433400.0\nGermany,DEU,2016,11438200.0\nGermany,DEU,2017,11443000.0\nGermany,DEU,2018,11447800.0\nGermany,DEU,2019,11452600.0\nGermany,DEU,2020,11457400.0\nGermany,DEU,2021,11462200.0\nGermany,DEU,2022,11467000.0\nGermany,DEU,2023,11471800.0\nGermany,DEU,2024,11476600.0\n```\n\nAccording to this chart, what was forest area in Germany in 2000?","response":"Reading the plotted point for 2000, forest area in Germany was 11,354,000 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nGermany,DEU,1995,11327000.0\nGermany,DEU,1996,11332400.0\nGermany,DEU,1997,11337800.0\nGermany,DEU,1998,11343200.0\nGermany,DEU,1999,11348600.0\nGermany,DEU,2000,11354000.0\nGermany,DEU,2001,11359500.0\nGermany,DEU,2002,11365000.0\nGermany,DEU,2003,11370500.0\nGermany,DEU,2004,11376000.0\nGermany,DEU,2005,11381500.0\nGermany,DEU,2006,11387000.0\nGermany,DEU,2007,11392500.0\nGermany,DEU,2008,11398000.0\nGermany,DEU,2009,11403500.0\nGermany,DEU,2010,11409000.0\nGermany,DEU,2011,11413880.0\nGermany,DEU,2012,11418760.0\nGermany,DEU,2013,11423640.0\nGermany,DEU,2014,11428520.0\nGermany,DEU,2015,11433400.0\nGermany,DEU,2016,11438200.0\nGermany,DEU,2017,11443000.0\nGermany,DEU,2018,11447800.0\nGermany,DEU,2019,11452600.0\nGermany,DEU,2020,11457400.0\nGermany,DEU,2021,11462200.0\nGermany,DEU,2022,11467000.0\nGermany,DEU,2023,11471800.0\nGermany,DEU,2024,11476600.0\n```\n\nIn which year shown does forest area reach its highest value for Germany?","response":"The series peaks in 2024, at 11,476,600 ha. The lowest point shown is 1995, at 11,327,000 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nGermany,DEU,1995,11327000.0\nGermany,DEU,1996,11332400.0\nGermany,DEU,1997,11337800.0\nGermany,DEU,1998,11343200.0\nGermany,DEU,1999,11348600.0\nGermany,DEU,2000,11354000.0\nGermany,DEU,2001,11359500.0\nGermany,DEU,2002,11365000.0\nGermany,DEU,2003,11370500.0\nGermany,DEU,2004,11376000.0\nGermany,DEU,2005,11381500.0\nGermany,DEU,2006,11387000.0\nGermany,DEU,2007,11392500.0\nGermany,DEU,2008,11398000.0\nGermany,DEU,2009,11403500.0\nGermany,DEU,2010,11409000.0\nGermany,DEU,2011,11413880.0\nGermany,DEU,2012,11418760.0\nGermany,DEU,2013,11423640.0\nGermany,DEU,2014,11428520.0\nGermany,DEU,2015,11433400.0\nGermany,DEU,2016,11438200.0\nGermany,DEU,2017,11443000.0\nGermany,DEU,2018,11447800.0\nGermany,DEU,2019,11452600.0\nGermany,DEU,2020,11457400.0\nGermany,DEU,2021,11462200.0\nGermany,DEU,2022,11467000.0\nGermany,DEU,2023,11471800.0\nGermany,DEU,2024,11476600.0\n```\n\nHow much did forest area change for Germany between 1995 and 2024?","response":"It moved from 11,327,000 ha in 1995 to 11,476,600 ha in 2024, a change of 149,600 ha (+1.32%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nGermany,DEU,1995,11327000.0\nGermany,DEU,1996,11332400.0\nGermany,DEU,1997,11337800.0\nGermany,DEU,1998,11343200.0\nGermany,DEU,1999,11348600.0\nGermany,DEU,2000,11354000.0\nGermany,DEU,2001,11359500.0\nGermany,DEU,2002,11365000.0\nGermany,DEU,2003,11370500.0\nGermany,DEU,2004,11376000.0\nGermany,DEU,2005,11381500.0\nGermany,DEU,2006,11387000.0\nGermany,DEU,2007,11392500.0\nGermany,DEU,2008,11398000.0\nGermany,DEU,2009,11403500.0\nGermany,DEU,2010,11409000.0\nGermany,DEU,2011,11413880.0\nGermany,DEU,2012,11418760.0\nGermany,DEU,2013,11423640.0\nGermany,DEU,2014,11428520.0\nGermany,DEU,2015,11433400.0\nGermany,DEU,2016,11438200.0\nGermany,DEU,2017,11443000.0\nGermany,DEU,2018,11447800.0\nGermany,DEU,2019,11452600.0\nGermany,DEU,2020,11457400.0\nGermany,DEU,2021,11462200.0\nGermany,DEU,2022,11467000.0\nGermany,DEU,2023,11471800.0\nGermany,DEU,2024,11476600.0\n```\n\nWas forest area in Germany higher in 2002 or 2021?","response":"Higher in 2021. The chart gives 11,365,000 ha for 2002 and 11,462,200 ha for 2021, a difference of 97,200 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nGermany,DEU,1995,11327000.0\nGermany,DEU,1996,11332400.0\nGermany,DEU,1997,11337800.0\nGermany,DEU,1998,11343200.0\nGermany,DEU,1999,11348600.0\nGermany,DEU,2000,11354000.0\nGermany,DEU,2001,11359500.0\nGermany,DEU,2002,11365000.0\nGermany,DEU,2003,11370500.0\nGermany,DEU,2004,11376000.0\nGermany,DEU,2005,11381500.0\nGermany,DEU,2006,11387000.0\nGermany,DEU,2007,11392500.0\nGermany,DEU,2008,11398000.0\nGermany,DEU,2009,11403500.0\nGermany,DEU,2010,11409000.0\nGermany,DEU,2011,11413880.0\nGermany,DEU,2012,11418760.0\nGermany,DEU,2013,11423640.0\nGermany,DEU,2014,11428520.0\nGermany,DEU,2015,11433400.0\nGermany,DEU,2016,11438200.0\nGermany,DEU,2017,11443000.0\nGermany,DEU,2018,11447800.0\nGermany,DEU,2019,11452600.0\nGermany,DEU,2020,11457400.0\nGermany,DEU,2021,11462200.0\nGermany,DEU,2022,11467000.0\nGermany,DEU,2023,11471800.0\nGermany,DEU,2024,11476600.0\n```\n\nThis chart makes the change in forest area for Germany look dramatic. Is it?","response":"The values change by +1.32%, from 11,327,000 ha to 11,476,600 ha. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nGermany,DEU,1995,11327000.0\nGermany,DEU,1996,11332400.0\nGermany,DEU,1997,11337800.0\nGermany,DEU,1998,11343200.0\nGermany,DEU,1999,11348600.0\nGermany,DEU,2000,11354000.0\nGermany,DEU,2001,11359500.0\nGermany,DEU,2002,11365000.0\nGermany,DEU,2003,11370500.0\nGermany,DEU,2004,11376000.0\nGermany,DEU,2005,11381500.0\nGermany,DEU,2006,11387000.0\nGermany,DEU,2007,11392500.0\nGermany,DEU,2008,11398000.0\nGermany,DEU,2009,11403500.0\nGermany,DEU,2010,11409000.0\nGermany,DEU,2011,11413880.0\nGermany,DEU,2012,11418760.0\nGermany,DEU,2013,11423640.0\nGermany,DEU,2014,11428520.0\nGermany,DEU,2015,11433400.0\nGermany,DEU,2016,11438200.0\nGermany,DEU,2017,11443000.0\nGermany,DEU,2018,11447800.0\nGermany,DEU,2019,11452600.0\nGermany,DEU,2020,11457400.0\nGermany,DEU,2021,11462200.0\nGermany,DEU,2022,11467000.0\nGermany,DEU,2023,11471800.0\nGermany,DEU,2024,11476600.0\n```\n\nThis chart appears to show forest area in Germany rising steeply. How large is the increase actually?","response":"The plotted values run from 11,327,000 ha to 11,476,600 ha, so the actual change is +1.32%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 9336012.0 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nGermany,DEU,1995,11327000.0\nGermany,DEU,1996,11332400.0\nGermany,DEU,1997,11337800.0\nGermany,DEU,1998,11343200.0\nGermany,DEU,1999,11348600.0\nGermany,DEU,2000,11354000.0\nGermany,DEU,2001,11359500.0\nGermany,DEU,2002,11365000.0\nGermany,DEU,2003,11370500.0\nGermany,DEU,2004,11376000.0\nGermany,DEU,2005,11381500.0\nGermany,DEU,2006,11387000.0\nGermany,DEU,2007,11392500.0\nGermany,DEU,2008,11398000.0\nGermany,DEU,2009,11403500.0\nGermany,DEU,2010,11409000.0\nGermany,DEU,2011,11413880.0\nGermany,DEU,2012,11418760.0\nGermany,DEU,2013,11423640.0\nGermany,DEU,2014,11428520.0\nGermany,DEU,2015,11433400.0\nGermany,DEU,2016,11438200.0\nGermany,DEU,2017,11443000.0\nGermany,DEU,2018,11447800.0\nGermany,DEU,2019,11452600.0\nGermany,DEU,2020,11457400.0\nGermany,DEU,2021,11462200.0\nGermany,DEU,2022,11467000.0\nGermany,DEU,2023,11471800.0\nGermany,DEU,2024,11476600.0\n```\n\nWhat caused the change in forest area for Germany around 2001?","response":"The chart shows that the change happened: forest area moves to 11,359,500 ha in 2001. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Germany__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nIndonesia,IDN,1995,104146550.0\nIndonesia,IDN,1996,101708960.0\nIndonesia,IDN,1997,99271370.0\nIndonesia,IDN,1998,96833784.0\nIndonesia,IDN,1999,94396190.0\nIndonesia,IDN,2000,91958600.0\nIndonesia,IDN,2001,92393260.0\nIndonesia,IDN,2002,92827920.0\nIndonesia,IDN,2003,93262584.0\nIndonesia,IDN,2004,93697240.0\nIndonesia,IDN,2005,94131900.0\nIndonesia,IDN,2006,94566560.0\nIndonesia,IDN,2007,95001224.0\nIndonesia,IDN,2008,95435880.0\nIndonesia,IDN,2009,95870540.0\nIndonesia,IDN,2010,96305200.0\nIndonesia,IDN,2011,96049740.0\nIndonesia,IDN,2012,95794280.0\nIndonesia,IDN,2013,95538824.0\nIndonesia,IDN,2014,95283360.0\nIndonesia,IDN,2015,95027896.0\nIndonesia,IDN,2016,95134696.0\nIndonesia,IDN,2017,95241496.0\nIndonesia,IDN,2018,95348296.0\nIndonesia,IDN,2019,95455096.0\nIndonesia,IDN,2020,95561896.0\nIndonesia,IDN,2021,95643380.0\nIndonesia,IDN,2022,95724856.0\nIndonesia,IDN,2023,95806340.0\nIndonesia,IDN,2024,95887816.0\n```\n\nAccording to this chart, what was forest area in Indonesia in 2019?","response":"Reading the plotted point for 2019, forest area in Indonesia was 95,455,096 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nIndonesia,IDN,1995,104146550.0\nIndonesia,IDN,1996,101708960.0\nIndonesia,IDN,1997,99271370.0\nIndonesia,IDN,1998,96833784.0\nIndonesia,IDN,1999,94396190.0\nIndonesia,IDN,2000,91958600.0\nIndonesia,IDN,2001,92393260.0\nIndonesia,IDN,2002,92827920.0\nIndonesia,IDN,2003,93262584.0\nIndonesia,IDN,2004,93697240.0\nIndonesia,IDN,2005,94131900.0\nIndonesia,IDN,2006,94566560.0\nIndonesia,IDN,2007,95001224.0\nIndonesia,IDN,2008,95435880.0\nIndonesia,IDN,2009,95870540.0\nIndonesia,IDN,2010,96305200.0\nIndonesia,IDN,2011,96049740.0\nIndonesia,IDN,2012,95794280.0\nIndonesia,IDN,2013,95538824.0\nIndonesia,IDN,2014,95283360.0\nIndonesia,IDN,2015,95027896.0\nIndonesia,IDN,2016,95134696.0\nIndonesia,IDN,2017,95241496.0\nIndonesia,IDN,2018,95348296.0\nIndonesia,IDN,2019,95455096.0\nIndonesia,IDN,2020,95561896.0\nIndonesia,IDN,2021,95643380.0\nIndonesia,IDN,2022,95724856.0\nIndonesia,IDN,2023,95806340.0\nIndonesia,IDN,2024,95887816.0\n```\n\nIn which year shown does forest area reach its highest value for Indonesia?","response":"The series peaks in 1995, at 104,146,550 ha. The lowest point shown is 2000, at 91,958,600 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nIndonesia,IDN,1995,104146550.0\nIndonesia,IDN,1996,101708960.0\nIndonesia,IDN,1997,99271370.0\nIndonesia,IDN,1998,96833784.0\nIndonesia,IDN,1999,94396190.0\nIndonesia,IDN,2000,91958600.0\nIndonesia,IDN,2001,92393260.0\nIndonesia,IDN,2002,92827920.0\nIndonesia,IDN,2003,93262584.0\nIndonesia,IDN,2004,93697240.0\nIndonesia,IDN,2005,94131900.0\nIndonesia,IDN,2006,94566560.0\nIndonesia,IDN,2007,95001224.0\nIndonesia,IDN,2008,95435880.0\nIndonesia,IDN,2009,95870540.0\nIndonesia,IDN,2010,96305200.0\nIndonesia,IDN,2011,96049740.0\nIndonesia,IDN,2012,95794280.0\nIndonesia,IDN,2013,95538824.0\nIndonesia,IDN,2014,95283360.0\nIndonesia,IDN,2015,95027896.0\nIndonesia,IDN,2016,95134696.0\nIndonesia,IDN,2017,95241496.0\nIndonesia,IDN,2018,95348296.0\nIndonesia,IDN,2019,95455096.0\nIndonesia,IDN,2020,95561896.0\nIndonesia,IDN,2021,95643380.0\nIndonesia,IDN,2022,95724856.0\nIndonesia,IDN,2023,95806340.0\nIndonesia,IDN,2024,95887816.0\n```\n\nHow much did forest area change for Indonesia between 1995 and 2024?","response":"It moved from 104,146,550 ha in 1995 to 95,887,816 ha in 2024, a change of -8,258,734 ha (-7.93%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nIndonesia,IDN,1995,104146550.0\nIndonesia,IDN,1996,101708960.0\nIndonesia,IDN,1997,99271370.0\nIndonesia,IDN,1998,96833784.0\nIndonesia,IDN,1999,94396190.0\nIndonesia,IDN,2000,91958600.0\nIndonesia,IDN,2001,92393260.0\nIndonesia,IDN,2002,92827920.0\nIndonesia,IDN,2003,93262584.0\nIndonesia,IDN,2004,93697240.0\nIndonesia,IDN,2005,94131900.0\nIndonesia,IDN,2006,94566560.0\nIndonesia,IDN,2007,95001224.0\nIndonesia,IDN,2008,95435880.0\nIndonesia,IDN,2009,95870540.0\nIndonesia,IDN,2010,96305200.0\nIndonesia,IDN,2011,96049740.0\nIndonesia,IDN,2012,95794280.0\nIndonesia,IDN,2013,95538824.0\nIndonesia,IDN,2014,95283360.0\nIndonesia,IDN,2015,95027896.0\nIndonesia,IDN,2016,95134696.0\nIndonesia,IDN,2017,95241496.0\nIndonesia,IDN,2018,95348296.0\nIndonesia,IDN,2019,95455096.0\nIndonesia,IDN,2020,95561896.0\nIndonesia,IDN,2021,95643380.0\nIndonesia,IDN,2022,95724856.0\nIndonesia,IDN,2023,95806340.0\nIndonesia,IDN,2024,95887816.0\n```\n\nWas forest area in Indonesia higher in 2008 or 2024?","response":"Higher in 2024. The chart gives 95,435,880 ha for 2008 and 95,887,816 ha for 2024, a difference of 451,936 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nIndonesia,IDN,1995,104146550.0\nIndonesia,IDN,1996,101708960.0\nIndonesia,IDN,1997,99271370.0\nIndonesia,IDN,1998,96833784.0\nIndonesia,IDN,1999,94396190.0\nIndonesia,IDN,2000,91958600.0\nIndonesia,IDN,2001,92393260.0\nIndonesia,IDN,2002,92827920.0\nIndonesia,IDN,2003,93262584.0\nIndonesia,IDN,2004,93697240.0\nIndonesia,IDN,2005,94131900.0\nIndonesia,IDN,2006,94566560.0\nIndonesia,IDN,2007,95001224.0\nIndonesia,IDN,2008,95435880.0\nIndonesia,IDN,2009,95870540.0\nIndonesia,IDN,2010,96305200.0\nIndonesia,IDN,2011,96049740.0\nIndonesia,IDN,2012,95794280.0\nIndonesia,IDN,2013,95538824.0\nIndonesia,IDN,2014,95283360.0\nIndonesia,IDN,2015,95027896.0\nIndonesia,IDN,2016,95134696.0\nIndonesia,IDN,2017,95241496.0\nIndonesia,IDN,2018,95348296.0\nIndonesia,IDN,2019,95455096.0\nIndonesia,IDN,2020,95561896.0\nIndonesia,IDN,2021,95643380.0\nIndonesia,IDN,2022,95724856.0\nIndonesia,IDN,2023,95806340.0\nIndonesia,IDN,2024,95887816.0\n```\n\nAccording to this chart, what was forest area in Indonesia in 2019?","response":"Reading the plotted point for 2019, forest area in Indonesia was 95,455,096 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nIndonesia,IDN,1995,104146550.0\nIndonesia,IDN,1996,101708960.0\nIndonesia,IDN,1997,99271370.0\nIndonesia,IDN,1998,96833784.0\nIndonesia,IDN,1999,94396190.0\nIndonesia,IDN,2000,91958600.0\nIndonesia,IDN,2001,92393260.0\nIndonesia,IDN,2002,92827920.0\nIndonesia,IDN,2003,93262584.0\nIndonesia,IDN,2004,93697240.0\nIndonesia,IDN,2005,94131900.0\nIndonesia,IDN,2006,94566560.0\nIndonesia,IDN,2007,95001224.0\nIndonesia,IDN,2008,95435880.0\nIndonesia,IDN,2009,95870540.0\nIndonesia,IDN,2010,96305200.0\nIndonesia,IDN,2011,96049740.0\nIndonesia,IDN,2012,95794280.0\nIndonesia,IDN,2013,95538824.0\nIndonesia,IDN,2014,95283360.0\nIndonesia,IDN,2015,95027896.0\nIndonesia,IDN,2016,95134696.0\nIndonesia,IDN,2017,95241496.0\nIndonesia,IDN,2018,95348296.0\nIndonesia,IDN,2019,95455096.0\nIndonesia,IDN,2020,95561896.0\nIndonesia,IDN,2021,95643380.0\nIndonesia,IDN,2022,95724856.0\nIndonesia,IDN,2023,95806340.0\nIndonesia,IDN,2024,95887816.0\n```\n\nIn which year shown does forest area reach its highest value for Indonesia?","response":"The series peaks in 1995, at 104,146,550 ha. The lowest point shown is 2000, at 91,958,600 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nIndonesia,IDN,1995,104146550.0\nIndonesia,IDN,1996,101708960.0\nIndonesia,IDN,1997,99271370.0\nIndonesia,IDN,1998,96833784.0\nIndonesia,IDN,1999,94396190.0\nIndonesia,IDN,2000,91958600.0\nIndonesia,IDN,2001,92393260.0\nIndonesia,IDN,2002,92827920.0\nIndonesia,IDN,2003,93262584.0\nIndonesia,IDN,2004,93697240.0\nIndonesia,IDN,2005,94131900.0\nIndonesia,IDN,2006,94566560.0\nIndonesia,IDN,2007,95001224.0\nIndonesia,IDN,2008,95435880.0\nIndonesia,IDN,2009,95870540.0\nIndonesia,IDN,2010,96305200.0\nIndonesia,IDN,2011,96049740.0\nIndonesia,IDN,2012,95794280.0\nIndonesia,IDN,2013,95538824.0\nIndonesia,IDN,2014,95283360.0\nIndonesia,IDN,2015,95027896.0\nIndonesia,IDN,2016,95134696.0\nIndonesia,IDN,2017,95241496.0\nIndonesia,IDN,2018,95348296.0\nIndonesia,IDN,2019,95455096.0\nIndonesia,IDN,2020,95561896.0\nIndonesia,IDN,2021,95643380.0\nIndonesia,IDN,2022,95724856.0\nIndonesia,IDN,2023,95806340.0\nIndonesia,IDN,2024,95887816.0\n```\n\nHow much did forest area change for Indonesia between 1995 and 2024?","response":"It moved from 104,146,550 ha in 1995 to 95,887,816 ha in 2024, a change of -8,258,734 ha (-7.93%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nIndonesia,IDN,1995,104146550.0\nIndonesia,IDN,1996,101708960.0\nIndonesia,IDN,1997,99271370.0\nIndonesia,IDN,1998,96833784.0\nIndonesia,IDN,1999,94396190.0\nIndonesia,IDN,2000,91958600.0\nIndonesia,IDN,2001,92393260.0\nIndonesia,IDN,2002,92827920.0\nIndonesia,IDN,2003,93262584.0\nIndonesia,IDN,2004,93697240.0\nIndonesia,IDN,2005,94131900.0\nIndonesia,IDN,2006,94566560.0\nIndonesia,IDN,2007,95001224.0\nIndonesia,IDN,2008,95435880.0\nIndonesia,IDN,2009,95870540.0\nIndonesia,IDN,2010,96305200.0\nIndonesia,IDN,2011,96049740.0\nIndonesia,IDN,2012,95794280.0\nIndonesia,IDN,2013,95538824.0\nIndonesia,IDN,2014,95283360.0\nIndonesia,IDN,2015,95027896.0\nIndonesia,IDN,2016,95134696.0\nIndonesia,IDN,2017,95241496.0\nIndonesia,IDN,2018,95348296.0\nIndonesia,IDN,2019,95455096.0\nIndonesia,IDN,2020,95561896.0\nIndonesia,IDN,2021,95643380.0\nIndonesia,IDN,2022,95724856.0\nIndonesia,IDN,2023,95806340.0\nIndonesia,IDN,2024,95887816.0\n```\n\nWas forest area in Indonesia higher in 2008 or 2024?","response":"Higher in 2024. The chart gives 95,435,880 ha for 2008 and 95,887,816 ha for 2024, a difference of 451,936 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nIndonesia,IDN,1995,104146550.0\nIndonesia,IDN,1996,101708960.0\nIndonesia,IDN,1997,99271370.0\nIndonesia,IDN,1998,96833784.0\nIndonesia,IDN,1999,94396190.0\nIndonesia,IDN,2000,91958600.0\nIndonesia,IDN,2001,92393260.0\nIndonesia,IDN,2002,92827920.0\nIndonesia,IDN,2003,93262584.0\nIndonesia,IDN,2004,93697240.0\nIndonesia,IDN,2005,94131900.0\nIndonesia,IDN,2006,94566560.0\nIndonesia,IDN,2007,95001224.0\nIndonesia,IDN,2008,95435880.0\nIndonesia,IDN,2009,95870540.0\nIndonesia,IDN,2010,96305200.0\nIndonesia,IDN,2011,96049740.0\nIndonesia,IDN,2012,95794280.0\nIndonesia,IDN,2013,95538824.0\nIndonesia,IDN,2014,95283360.0\nIndonesia,IDN,2015,95027896.0\nIndonesia,IDN,2016,95134696.0\nIndonesia,IDN,2017,95241496.0\nIndonesia,IDN,2018,95348296.0\nIndonesia,IDN,2019,95455096.0\nIndonesia,IDN,2020,95561896.0\nIndonesia,IDN,2021,95643380.0\nIndonesia,IDN,2022,95724856.0\nIndonesia,IDN,2023,95806340.0\nIndonesia,IDN,2024,95887816.0\n```\n\nThis chart appears to show forest area in Indonesia rising steeply. How large is the increase actually?","response":"The plotted values run from 104,146,550 ha to 95,887,816 ha, so the actual change is -7.93%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 79306196.0 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nIndonesia,IDN,1995,104146550.0\nIndonesia,IDN,1996,101708960.0\nIndonesia,IDN,1997,99271370.0\nIndonesia,IDN,1998,96833784.0\nIndonesia,IDN,1999,94396190.0\nIndonesia,IDN,2000,91958600.0\nIndonesia,IDN,2001,92393260.0\nIndonesia,IDN,2002,92827920.0\nIndonesia,IDN,2003,93262584.0\nIndonesia,IDN,2004,93697240.0\nIndonesia,IDN,2005,94131900.0\nIndonesia,IDN,2006,94566560.0\nIndonesia,IDN,2007,95001224.0\nIndonesia,IDN,2008,95435880.0\nIndonesia,IDN,2009,95870540.0\nIndonesia,IDN,2010,96305200.0\nIndonesia,IDN,2011,96049740.0\nIndonesia,IDN,2012,95794280.0\nIndonesia,IDN,2013,95538824.0\nIndonesia,IDN,2014,95283360.0\nIndonesia,IDN,2015,95027896.0\nIndonesia,IDN,2016,95134696.0\nIndonesia,IDN,2017,95241496.0\nIndonesia,IDN,2018,95348296.0\nIndonesia,IDN,2019,95455096.0\nIndonesia,IDN,2020,95561896.0\nIndonesia,IDN,2021,95643380.0\nIndonesia,IDN,2022,95724856.0\nIndonesia,IDN,2023,95806340.0\nIndonesia,IDN,2024,95887816.0\n```\n\nBased on this chart, is forest area in Indonesia rising or falling?","response":"It is decreasing. The chart reads as increasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 104,146,550 ha to 95,887,816 ha, a change of -7.93%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nIndonesia,IDN,2000,91958600.0\nIndonesia,IDN,2001,92393260.0\nIndonesia,IDN,2002,92827920.0\nIndonesia,IDN,2003,93262584.0\nIndonesia,IDN,2004,93697240.0\nIndonesia,IDN,2005,94131900.0\nIndonesia,IDN,2006,94566560.0\nIndonesia,IDN,2007,95001224.0\nIndonesia,IDN,2008,95435880.0\n```\n\nWhat does this chart suggest about the long-run direction of forest area in Indonesia?","response":"Within the window shown (2000-2008) the series moves +3.78%, but that window runs against the longer record. Across the full series (1995-2024) the change is -7.93%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nIndonesia,IDN,1995,104146550.0\nIndonesia,IDN,1996,101708960.0\nIndonesia,IDN,1997,99271370.0\nIndonesia,IDN,1998,96833784.0\nIndonesia,IDN,1999,94396190.0\nIndonesia,IDN,2000,91958600.0\nIndonesia,IDN,2001,92393260.0\nIndonesia,IDN,2002,92827920.0\nIndonesia,IDN,2003,93262584.0\nIndonesia,IDN,2004,93697240.0\nIndonesia,IDN,2005,94131900.0\nIndonesia,IDN,2006,94566560.0\nIndonesia,IDN,2007,95001224.0\nIndonesia,IDN,2008,95435880.0\nIndonesia,IDN,2009,95870540.0\nIndonesia,IDN,2010,96305200.0\nIndonesia,IDN,2011,96049740.0\nIndonesia,IDN,2012,95794280.0\nIndonesia,IDN,2013,95538824.0\nIndonesia,IDN,2014,95283360.0\nIndonesia,IDN,2015,95027896.0\nIndonesia,IDN,2016,95134696.0\nIndonesia,IDN,2017,95241496.0\nIndonesia,IDN,2018,95348296.0\nIndonesia,IDN,2019,95455096.0\nIndonesia,IDN,2020,95561896.0\nIndonesia,IDN,2021,95643380.0\nIndonesia,IDN,2022,95724856.0\nIndonesia,IDN,2023,95806340.0\nIndonesia,IDN,2024,95887816.0\n```\n\nWhat was forest area for Indonesia in 1980?","response":"That year is outside this chart. The series runs 1995 to 2024, and 1980 falls before it begins, so there is no value to read. The earliest point available is 1995, at 104,146,550 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Indonesia__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nKenya,KEN,1995,3778405.0\nKenya,KEN,1996,3785966.0\nKenya,KEN,1997,3793527.0\nKenya,KEN,1998,3801088.0\nKenya,KEN,1999,3808649.0\nKenya,KEN,2000,3816210.0\nKenya,KEN,2001,3822436.0\nKenya,KEN,2002,3828662.0\nKenya,KEN,2003,3834888.0\nKenya,KEN,2004,3841114.0\nKenya,KEN,2005,3847340.0\nKenya,KEN,2006,3853566.0\nKenya,KEN,2007,3859792.0\nKenya,KEN,2008,3866018.0\nKenya,KEN,2009,3872244.0\nKenya,KEN,2010,3878470.0\nKenya,KEN,2011,3779552.0\nKenya,KEN,2012,3680634.0\nKenya,KEN,2013,3581716.0\nKenya,KEN,2014,3482798.0\nKenya,KEN,2015,3383880.0\nKenya,KEN,2016,3425396.0\nKenya,KEN,2017,3466912.0\nKenya,KEN,2018,3508428.0\nKenya,KEN,2019,3549944.0\nKenya,KEN,2020,3591460.0\nKenya,KEN,2021,3655930.0\nKenya,KEN,2022,3720400.0\nKenya,KEN,2023,3784870.0\nKenya,KEN,2024,3849340.0\n```\n\nAccording to this chart, what was forest area in Kenya in 2009?","response":"Reading the plotted point for 2009, forest area in Kenya was 3,872,244 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nKenya,KEN,1995,3778405.0\nKenya,KEN,1996,3785966.0\nKenya,KEN,1997,3793527.0\nKenya,KEN,1998,3801088.0\nKenya,KEN,1999,3808649.0\nKenya,KEN,2000,3816210.0\nKenya,KEN,2001,3822436.0\nKenya,KEN,2002,3828662.0\nKenya,KEN,2003,3834888.0\nKenya,KEN,2004,3841114.0\nKenya,KEN,2005,3847340.0\nKenya,KEN,2006,3853566.0\nKenya,KEN,2007,3859792.0\nKenya,KEN,2008,3866018.0\nKenya,KEN,2009,3872244.0\nKenya,KEN,2010,3878470.0\nKenya,KEN,2011,3779552.0\nKenya,KEN,2012,3680634.0\nKenya,KEN,2013,3581716.0\nKenya,KEN,2014,3482798.0\nKenya,KEN,2015,3383880.0\nKenya,KEN,2016,3425396.0\nKenya,KEN,2017,3466912.0\nKenya,KEN,2018,3508428.0\nKenya,KEN,2019,3549944.0\nKenya,KEN,2020,3591460.0\nKenya,KEN,2021,3655930.0\nKenya,KEN,2022,3720400.0\nKenya,KEN,2023,3784870.0\nKenya,KEN,2024,3849340.0\n```\n\nIn which year shown does forest area reach its highest value for Kenya?","response":"The series peaks in 2010, at 3,878,470 ha. The lowest point shown is 2015, at 3,383,880 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nKenya,KEN,1995,3778405.0\nKenya,KEN,1996,3785966.0\nKenya,KEN,1997,3793527.0\nKenya,KEN,1998,3801088.0\nKenya,KEN,1999,3808649.0\nKenya,KEN,2000,3816210.0\nKenya,KEN,2001,3822436.0\nKenya,KEN,2002,3828662.0\nKenya,KEN,2003,3834888.0\nKenya,KEN,2004,3841114.0\nKenya,KEN,2005,3847340.0\nKenya,KEN,2006,3853566.0\nKenya,KEN,2007,3859792.0\nKenya,KEN,2008,3866018.0\nKenya,KEN,2009,3872244.0\nKenya,KEN,2010,3878470.0\nKenya,KEN,2011,3779552.0\nKenya,KEN,2012,3680634.0\nKenya,KEN,2013,3581716.0\nKenya,KEN,2014,3482798.0\nKenya,KEN,2015,3383880.0\nKenya,KEN,2016,3425396.0\nKenya,KEN,2017,3466912.0\nKenya,KEN,2018,3508428.0\nKenya,KEN,2019,3549944.0\nKenya,KEN,2020,3591460.0\nKenya,KEN,2021,3655930.0\nKenya,KEN,2022,3720400.0\nKenya,KEN,2023,3784870.0\nKenya,KEN,2024,3849340.0\n```\n\nHow much did forest area change for Kenya between 1995 and 2024?","response":"It moved from 3,778,405 ha in 1995 to 3,849,340 ha in 2024, a change of 70,935 ha (+1.88%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nKenya,KEN,1995,3778405.0\nKenya,KEN,1996,3785966.0\nKenya,KEN,1997,3793527.0\nKenya,KEN,1998,3801088.0\nKenya,KEN,1999,3808649.0\nKenya,KEN,2000,3816210.0\nKenya,KEN,2001,3822436.0\nKenya,KEN,2002,3828662.0\nKenya,KEN,2003,3834888.0\nKenya,KEN,2004,3841114.0\nKenya,KEN,2005,3847340.0\nKenya,KEN,2006,3853566.0\nKenya,KEN,2007,3859792.0\nKenya,KEN,2008,3866018.0\nKenya,KEN,2009,3872244.0\nKenya,KEN,2010,3878470.0\nKenya,KEN,2011,3779552.0\nKenya,KEN,2012,3680634.0\nKenya,KEN,2013,3581716.0\nKenya,KEN,2014,3482798.0\nKenya,KEN,2015,3383880.0\nKenya,KEN,2016,3425396.0\nKenya,KEN,2017,3466912.0\nKenya,KEN,2018,3508428.0\nKenya,KEN,2019,3549944.0\nKenya,KEN,2020,3591460.0\nKenya,KEN,2021,3655930.0\nKenya,KEN,2022,3720400.0\nKenya,KEN,2023,3784870.0\nKenya,KEN,2024,3849340.0\n```\n\nWas forest area in Kenya higher in 2004 or 2019?","response":"Higher in 2004. The chart gives 3,841,114 ha for 2004 and 3,549,944 ha for 2019, a difference of 291,170 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nKenya,KEN,1995,3778405.0\nKenya,KEN,1996,3785966.0\nKenya,KEN,1997,3793527.0\nKenya,KEN,1998,3801088.0\nKenya,KEN,1999,3808649.0\nKenya,KEN,2000,3816210.0\nKenya,KEN,2001,3822436.0\nKenya,KEN,2002,3828662.0\nKenya,KEN,2003,3834888.0\nKenya,KEN,2004,3841114.0\nKenya,KEN,2005,3847340.0\nKenya,KEN,2006,3853566.0\nKenya,KEN,2007,3859792.0\nKenya,KEN,2008,3866018.0\nKenya,KEN,2009,3872244.0\nKenya,KEN,2010,3878470.0\nKenya,KEN,2011,3779552.0\nKenya,KEN,2012,3680634.0\nKenya,KEN,2013,3581716.0\nKenya,KEN,2014,3482798.0\nKenya,KEN,2015,3383880.0\nKenya,KEN,2016,3425396.0\nKenya,KEN,2017,3466912.0\nKenya,KEN,2018,3508428.0\nKenya,KEN,2019,3549944.0\nKenya,KEN,2020,3591460.0\nKenya,KEN,2021,3655930.0\nKenya,KEN,2022,3720400.0\nKenya,KEN,2023,3784870.0\nKenya,KEN,2024,3849340.0\n```\n\nAccording to this chart, what was forest area in Kenya in 2009?","response":"Reading the plotted point for 2009, forest area in Kenya was 3,872,244 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nKenya,KEN,1995,3778405.0\nKenya,KEN,1996,3785966.0\nKenya,KEN,1997,3793527.0\nKenya,KEN,1998,3801088.0\nKenya,KEN,1999,3808649.0\nKenya,KEN,2000,3816210.0\nKenya,KEN,2001,3822436.0\nKenya,KEN,2002,3828662.0\nKenya,KEN,2003,3834888.0\nKenya,KEN,2004,3841114.0\nKenya,KEN,2005,3847340.0\nKenya,KEN,2006,3853566.0\nKenya,KEN,2007,3859792.0\nKenya,KEN,2008,3866018.0\nKenya,KEN,2009,3872244.0\nKenya,KEN,2010,3878470.0\nKenya,KEN,2011,3779552.0\nKenya,KEN,2012,3680634.0\nKenya,KEN,2013,3581716.0\nKenya,KEN,2014,3482798.0\nKenya,KEN,2015,3383880.0\nKenya,KEN,2016,3425396.0\nKenya,KEN,2017,3466912.0\nKenya,KEN,2018,3508428.0\nKenya,KEN,2019,3549944.0\nKenya,KEN,2020,3591460.0\nKenya,KEN,2021,3655930.0\nKenya,KEN,2022,3720400.0\nKenya,KEN,2023,3784870.0\nKenya,KEN,2024,3849340.0\n```\n\nIn which year shown does forest area reach its highest value for Kenya?","response":"The series peaks in 2010, at 3,878,470 ha. The lowest point shown is 2015, at 3,383,880 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nKenya,KEN,1995,3778405.0\nKenya,KEN,1996,3785966.0\nKenya,KEN,1997,3793527.0\nKenya,KEN,1998,3801088.0\nKenya,KEN,1999,3808649.0\nKenya,KEN,2000,3816210.0\nKenya,KEN,2001,3822436.0\nKenya,KEN,2002,3828662.0\nKenya,KEN,2003,3834888.0\nKenya,KEN,2004,3841114.0\nKenya,KEN,2005,3847340.0\nKenya,KEN,2006,3853566.0\nKenya,KEN,2007,3859792.0\nKenya,KEN,2008,3866018.0\nKenya,KEN,2009,3872244.0\nKenya,KEN,2010,3878470.0\nKenya,KEN,2011,3779552.0\nKenya,KEN,2012,3680634.0\nKenya,KEN,2013,3581716.0\nKenya,KEN,2014,3482798.0\nKenya,KEN,2015,3383880.0\nKenya,KEN,2016,3425396.0\nKenya,KEN,2017,3466912.0\nKenya,KEN,2018,3508428.0\nKenya,KEN,2019,3549944.0\nKenya,KEN,2020,3591460.0\nKenya,KEN,2021,3655930.0\nKenya,KEN,2022,3720400.0\nKenya,KEN,2023,3784870.0\nKenya,KEN,2024,3849340.0\n```\n\nHow much did forest area change for Kenya between 1995 and 2024?","response":"It moved from 3,778,405 ha in 1995 to 3,849,340 ha in 2024, a change of 70,935 ha (+1.88%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nKenya,KEN,1995,3778405.0\nKenya,KEN,1996,3785966.0\nKenya,KEN,1997,3793527.0\nKenya,KEN,1998,3801088.0\nKenya,KEN,1999,3808649.0\nKenya,KEN,2000,3816210.0\nKenya,KEN,2001,3822436.0\nKenya,KEN,2002,3828662.0\nKenya,KEN,2003,3834888.0\nKenya,KEN,2004,3841114.0\nKenya,KEN,2005,3847340.0\nKenya,KEN,2006,3853566.0\nKenya,KEN,2007,3859792.0\nKenya,KEN,2008,3866018.0\nKenya,KEN,2009,3872244.0\nKenya,KEN,2010,3878470.0\nKenya,KEN,2011,3779552.0\nKenya,KEN,2012,3680634.0\nKenya,KEN,2013,3581716.0\nKenya,KEN,2014,3482798.0\nKenya,KEN,2015,3383880.0\nKenya,KEN,2016,3425396.0\nKenya,KEN,2017,3466912.0\nKenya,KEN,2018,3508428.0\nKenya,KEN,2019,3549944.0\nKenya,KEN,2020,3591460.0\nKenya,KEN,2021,3655930.0\nKenya,KEN,2022,3720400.0\nKenya,KEN,2023,3784870.0\nKenya,KEN,2024,3849340.0\n```\n\nWas forest area in Kenya higher in 2004 or 2019?","response":"Higher in 2004. The chart gives 3,841,114 ha for 2004 and 3,549,944 ha for 2019, a difference of 291,170 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nKenya,KEN,1995,3778405.0\nKenya,KEN,1996,3785966.0\nKenya,KEN,1997,3793527.0\nKenya,KEN,1998,3801088.0\nKenya,KEN,1999,3808649.0\nKenya,KEN,2000,3816210.0\nKenya,KEN,2001,3822436.0\nKenya,KEN,2002,3828662.0\nKenya,KEN,2003,3834888.0\nKenya,KEN,2004,3841114.0\nKenya,KEN,2005,3847340.0\nKenya,KEN,2006,3853566.0\nKenya,KEN,2007,3859792.0\nKenya,KEN,2008,3866018.0\nKenya,KEN,2009,3872244.0\nKenya,KEN,2010,3878470.0\nKenya,KEN,2011,3779552.0\nKenya,KEN,2012,3680634.0\nKenya,KEN,2013,3581716.0\nKenya,KEN,2014,3482798.0\nKenya,KEN,2015,3383880.0\nKenya,KEN,2016,3425396.0\nKenya,KEN,2017,3466912.0\nKenya,KEN,2018,3508428.0\nKenya,KEN,2019,3549944.0\nKenya,KEN,2020,3591460.0\nKenya,KEN,2021,3655930.0\nKenya,KEN,2022,3720400.0\nKenya,KEN,2023,3784870.0\nKenya,KEN,2024,3849340.0\n```\n\nThis chart makes the change in forest area for Kenya look dramatic. Is it?","response":"The values change by +1.88%, from 3,778,405 ha to 3,849,340 ha. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nKenya,KEN,1995,3778405.0\nKenya,KEN,1996,3785966.0\nKenya,KEN,1997,3793527.0\nKenya,KEN,1998,3801088.0\nKenya,KEN,1999,3808649.0\nKenya,KEN,2000,3816210.0\nKenya,KEN,2001,3822436.0\nKenya,KEN,2002,3828662.0\nKenya,KEN,2003,3834888.0\nKenya,KEN,2004,3841114.0\nKenya,KEN,2005,3847340.0\nKenya,KEN,2006,3853566.0\nKenya,KEN,2007,3859792.0\nKenya,KEN,2008,3866018.0\nKenya,KEN,2009,3872244.0\nKenya,KEN,2010,3878470.0\nKenya,KEN,2011,3779552.0\nKenya,KEN,2012,3680634.0\nKenya,KEN,2013,3581716.0\nKenya,KEN,2014,3482798.0\nKenya,KEN,2015,3383880.0\nKenya,KEN,2016,3425396.0\nKenya,KEN,2017,3466912.0\nKenya,KEN,2018,3508428.0\nKenya,KEN,2019,3549944.0\nKenya,KEN,2020,3591460.0\nKenya,KEN,2021,3655930.0\nKenya,KEN,2022,3720400.0\nKenya,KEN,2023,3784870.0\nKenya,KEN,2024,3849340.0\n```\n\nThis chart appears to show forest area in Kenya rising steeply. How large is the increase actually?","response":"The plotted values run from 3,778,405 ha to 3,849,340 ha, so the actual change is +1.88%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 2933050.4 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__cherry.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nKenya,KEN,1996,3785966.0\nKenya,KEN,1997,3793527.0\nKenya,KEN,1998,3801088.0\nKenya,KEN,1999,3808649.0\nKenya,KEN,2000,3816210.0\nKenya,KEN,2001,3822436.0\nKenya,KEN,2002,3828662.0\nKenya,KEN,2003,3834888.0\nKenya,KEN,2004,3841114.0\nKenya,KEN,2005,3847340.0\nKenya,KEN,2006,3853566.0\nKenya,KEN,2007,3859792.0\nKenya,KEN,2008,3866018.0\nKenya,KEN,2009,3872244.0\nKenya,KEN,2010,3878470.0\nKenya,KEN,2011,3779552.0\n```\n\nWhat does this chart suggest about the long-run direction of forest area in Kenya?","response":"Within the window shown (1996-2011) the series moves -0.17%, but that window runs against the longer record. Across the full series (1995-2024) the change is +1.88%, in the opposite direction. The chart is accurate for the years it covers and unrepresentative of the trend.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__cherry.png","label":"contradicted","question_type":"visual_claim_check","distortion":"cherry_picked_window","misleading_render":true,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nKenya,KEN,1995,3778405.0\nKenya,KEN,1996,3785966.0\nKenya,KEN,1997,3793527.0\nKenya,KEN,1998,3801088.0\nKenya,KEN,1999,3808649.0\nKenya,KEN,2000,3816210.0\nKenya,KEN,2001,3822436.0\nKenya,KEN,2002,3828662.0\nKenya,KEN,2003,3834888.0\nKenya,KEN,2004,3841114.0\nKenya,KEN,2005,3847340.0\nKenya,KEN,2006,3853566.0\nKenya,KEN,2007,3859792.0\nKenya,KEN,2008,3866018.0\nKenya,KEN,2009,3872244.0\nKenya,KEN,2010,3878470.0\nKenya,KEN,2011,3779552.0\nKenya,KEN,2012,3680634.0\nKenya,KEN,2013,3581716.0\nKenya,KEN,2014,3482798.0\nKenya,KEN,2015,3383880.0\nKenya,KEN,2016,3425396.0\nKenya,KEN,2017,3466912.0\nKenya,KEN,2018,3508428.0\nKenya,KEN,2019,3549944.0\nKenya,KEN,2020,3591460.0\nKenya,KEN,2021,3655930.0\nKenya,KEN,2022,3720400.0\nKenya,KEN,2023,3784870.0\nKenya,KEN,2024,3849340.0\n```\n\nWhat caused the change in forest area for Kenya around 2011?","response":"The chart shows that the change happened: forest area moves to 3,779,552 ha in 2011. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Kenya__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nTurkey,TUR,1995,19965916.0\nTurkey,TUR,1996,20002402.0\nTurkey,TUR,1997,20038888.0\nTurkey,TUR,1998,20075376.0\nTurkey,TUR,1999,20111862.0\nTurkey,TUR,2000,20148350.0\nTurkey,TUR,2001,20241822.0\nTurkey,TUR,2002,20335296.0\nTurkey,TUR,2003,20428768.0\nTurkey,TUR,2004,20522242.0\nTurkey,TUR,2005,20615714.0\nTurkey,TUR,2006,20709188.0\nTurkey,TUR,2007,20802660.0\nTurkey,TUR,2008,20896134.0\nTurkey,TUR,2009,20989608.0\nTurkey,TUR,2010,21083080.0\nTurkey,TUR,2011,21192524.0\nTurkey,TUR,2012,21301968.0\nTurkey,TUR,2013,21411412.0\nTurkey,TUR,2014,21520856.0\nTurkey,TUR,2015,21630300.0\nTurkey,TUR,2016,21748312.0\nTurkey,TUR,2017,21866324.0\nTurkey,TUR,2018,21984336.0\nTurkey,TUR,2019,22102348.0\nTurkey,TUR,2020,22220360.0\nTurkey,TUR,2021,22337440.0\nTurkey,TUR,2022,22454520.0\nTurkey,TUR,2023,22571600.0\nTurkey,TUR,2024,22688680.0\n```\n\nAccording to this chart, what was forest area in Turkey in 2006?","response":"Reading the plotted point for 2006, forest area in Turkey was 20,709,188 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nTurkey,TUR,1995,19965916.0\nTurkey,TUR,1996,20002402.0\nTurkey,TUR,1997,20038888.0\nTurkey,TUR,1998,20075376.0\nTurkey,TUR,1999,20111862.0\nTurkey,TUR,2000,20148350.0\nTurkey,TUR,2001,20241822.0\nTurkey,TUR,2002,20335296.0\nTurkey,TUR,2003,20428768.0\nTurkey,TUR,2004,20522242.0\nTurkey,TUR,2005,20615714.0\nTurkey,TUR,2006,20709188.0\nTurkey,TUR,2007,20802660.0\nTurkey,TUR,2008,20896134.0\nTurkey,TUR,2009,20989608.0\nTurkey,TUR,2010,21083080.0\nTurkey,TUR,2011,21192524.0\nTurkey,TUR,2012,21301968.0\nTurkey,TUR,2013,21411412.0\nTurkey,TUR,2014,21520856.0\nTurkey,TUR,2015,21630300.0\nTurkey,TUR,2016,21748312.0\nTurkey,TUR,2017,21866324.0\nTurkey,TUR,2018,21984336.0\nTurkey,TUR,2019,22102348.0\nTurkey,TUR,2020,22220360.0\nTurkey,TUR,2021,22337440.0\nTurkey,TUR,2022,22454520.0\nTurkey,TUR,2023,22571600.0\nTurkey,TUR,2024,22688680.0\n```\n\nIn which year shown does forest area reach its highest value for Turkey?","response":"The series peaks in 2024, at 22,688,680 ha. The lowest point shown is 1995, at 19,965,916 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nTurkey,TUR,1995,19965916.0\nTurkey,TUR,1996,20002402.0\nTurkey,TUR,1997,20038888.0\nTurkey,TUR,1998,20075376.0\nTurkey,TUR,1999,20111862.0\nTurkey,TUR,2000,20148350.0\nTurkey,TUR,2001,20241822.0\nTurkey,TUR,2002,20335296.0\nTurkey,TUR,2003,20428768.0\nTurkey,TUR,2004,20522242.0\nTurkey,TUR,2005,20615714.0\nTurkey,TUR,2006,20709188.0\nTurkey,TUR,2007,20802660.0\nTurkey,TUR,2008,20896134.0\nTurkey,TUR,2009,20989608.0\nTurkey,TUR,2010,21083080.0\nTurkey,TUR,2011,21192524.0\nTurkey,TUR,2012,21301968.0\nTurkey,TUR,2013,21411412.0\nTurkey,TUR,2014,21520856.0\nTurkey,TUR,2015,21630300.0\nTurkey,TUR,2016,21748312.0\nTurkey,TUR,2017,21866324.0\nTurkey,TUR,2018,21984336.0\nTurkey,TUR,2019,22102348.0\nTurkey,TUR,2020,22220360.0\nTurkey,TUR,2021,22337440.0\nTurkey,TUR,2022,22454520.0\nTurkey,TUR,2023,22571600.0\nTurkey,TUR,2024,22688680.0\n```\n\nHow much did forest area change for Turkey between 1995 and 2024?","response":"It moved from 19,965,916 ha in 1995 to 22,688,680 ha in 2024, a change of 2,722,764 ha (+13.64%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nTurkey,TUR,1995,19965916.0\nTurkey,TUR,1996,20002402.0\nTurkey,TUR,1997,20038888.0\nTurkey,TUR,1998,20075376.0\nTurkey,TUR,1999,20111862.0\nTurkey,TUR,2000,20148350.0\nTurkey,TUR,2001,20241822.0\nTurkey,TUR,2002,20335296.0\nTurkey,TUR,2003,20428768.0\nTurkey,TUR,2004,20522242.0\nTurkey,TUR,2005,20615714.0\nTurkey,TUR,2006,20709188.0\nTurkey,TUR,2007,20802660.0\nTurkey,TUR,2008,20896134.0\nTurkey,TUR,2009,20989608.0\nTurkey,TUR,2010,21083080.0\nTurkey,TUR,2011,21192524.0\nTurkey,TUR,2012,21301968.0\nTurkey,TUR,2013,21411412.0\nTurkey,TUR,2014,21520856.0\nTurkey,TUR,2015,21630300.0\nTurkey,TUR,2016,21748312.0\nTurkey,TUR,2017,21866324.0\nTurkey,TUR,2018,21984336.0\nTurkey,TUR,2019,22102348.0\nTurkey,TUR,2020,22220360.0\nTurkey,TUR,2021,22337440.0\nTurkey,TUR,2022,22454520.0\nTurkey,TUR,2023,22571600.0\nTurkey,TUR,2024,22688680.0\n```\n\nWas forest area in Turkey higher in 1999 or 2019?","response":"Higher in 2019. The chart gives 20,111,862 ha for 1999 and 22,102,348 ha for 2019, a difference of 1,990,486 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nTurkey,TUR,1995,19965916.0\nTurkey,TUR,1996,20002402.0\nTurkey,TUR,1997,20038888.0\nTurkey,TUR,1998,20075376.0\nTurkey,TUR,1999,20111862.0\nTurkey,TUR,2000,20148350.0\nTurkey,TUR,2001,20241822.0\nTurkey,TUR,2002,20335296.0\nTurkey,TUR,2003,20428768.0\nTurkey,TUR,2004,20522242.0\nTurkey,TUR,2005,20615714.0\nTurkey,TUR,2006,20709188.0\nTurkey,TUR,2007,20802660.0\nTurkey,TUR,2008,20896134.0\nTurkey,TUR,2009,20989608.0\nTurkey,TUR,2010,21083080.0\nTurkey,TUR,2011,21192524.0\nTurkey,TUR,2012,21301968.0\nTurkey,TUR,2013,21411412.0\nTurkey,TUR,2014,21520856.0\nTurkey,TUR,2015,21630300.0\nTurkey,TUR,2016,21748312.0\nTurkey,TUR,2017,21866324.0\nTurkey,TUR,2018,21984336.0\nTurkey,TUR,2019,22102348.0\nTurkey,TUR,2020,22220360.0\nTurkey,TUR,2021,22337440.0\nTurkey,TUR,2022,22454520.0\nTurkey,TUR,2023,22571600.0\nTurkey,TUR,2024,22688680.0\n```\n\nAccording to this chart, what was forest area in Turkey in 2006?","response":"Reading the plotted point for 2006, forest area in Turkey was 20,709,188 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nTurkey,TUR,1995,19965916.0\nTurkey,TUR,1996,20002402.0\nTurkey,TUR,1997,20038888.0\nTurkey,TUR,1998,20075376.0\nTurkey,TUR,1999,20111862.0\nTurkey,TUR,2000,20148350.0\nTurkey,TUR,2001,20241822.0\nTurkey,TUR,2002,20335296.0\nTurkey,TUR,2003,20428768.0\nTurkey,TUR,2004,20522242.0\nTurkey,TUR,2005,20615714.0\nTurkey,TUR,2006,20709188.0\nTurkey,TUR,2007,20802660.0\nTurkey,TUR,2008,20896134.0\nTurkey,TUR,2009,20989608.0\nTurkey,TUR,2010,21083080.0\nTurkey,TUR,2011,21192524.0\nTurkey,TUR,2012,21301968.0\nTurkey,TUR,2013,21411412.0\nTurkey,TUR,2014,21520856.0\nTurkey,TUR,2015,21630300.0\nTurkey,TUR,2016,21748312.0\nTurkey,TUR,2017,21866324.0\nTurkey,TUR,2018,21984336.0\nTurkey,TUR,2019,22102348.0\nTurkey,TUR,2020,22220360.0\nTurkey,TUR,2021,22337440.0\nTurkey,TUR,2022,22454520.0\nTurkey,TUR,2023,22571600.0\nTurkey,TUR,2024,22688680.0\n```\n\nIn which year shown does forest area reach its highest value for Turkey?","response":"The series peaks in 2024, at 22,688,680 ha. The lowest point shown is 1995, at 19,965,916 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nTurkey,TUR,1995,19965916.0\nTurkey,TUR,1996,20002402.0\nTurkey,TUR,1997,20038888.0\nTurkey,TUR,1998,20075376.0\nTurkey,TUR,1999,20111862.0\nTurkey,TUR,2000,20148350.0\nTurkey,TUR,2001,20241822.0\nTurkey,TUR,2002,20335296.0\nTurkey,TUR,2003,20428768.0\nTurkey,TUR,2004,20522242.0\nTurkey,TUR,2005,20615714.0\nTurkey,TUR,2006,20709188.0\nTurkey,TUR,2007,20802660.0\nTurkey,TUR,2008,20896134.0\nTurkey,TUR,2009,20989608.0\nTurkey,TUR,2010,21083080.0\nTurkey,TUR,2011,21192524.0\nTurkey,TUR,2012,21301968.0\nTurkey,TUR,2013,21411412.0\nTurkey,TUR,2014,21520856.0\nTurkey,TUR,2015,21630300.0\nTurkey,TUR,2016,21748312.0\nTurkey,TUR,2017,21866324.0\nTurkey,TUR,2018,21984336.0\nTurkey,TUR,2019,22102348.0\nTurkey,TUR,2020,22220360.0\nTurkey,TUR,2021,22337440.0\nTurkey,TUR,2022,22454520.0\nTurkey,TUR,2023,22571600.0\nTurkey,TUR,2024,22688680.0\n```\n\nHow much did forest area change for Turkey between 1995 and 2024?","response":"It moved from 19,965,916 ha in 1995 to 22,688,680 ha in 2024, a change of 2,722,764 ha (+13.64%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nTurkey,TUR,1995,19965916.0\nTurkey,TUR,1996,20002402.0\nTurkey,TUR,1997,20038888.0\nTurkey,TUR,1998,20075376.0\nTurkey,TUR,1999,20111862.0\nTurkey,TUR,2000,20148350.0\nTurkey,TUR,2001,20241822.0\nTurkey,TUR,2002,20335296.0\nTurkey,TUR,2003,20428768.0\nTurkey,TUR,2004,20522242.0\nTurkey,TUR,2005,20615714.0\nTurkey,TUR,2006,20709188.0\nTurkey,TUR,2007,20802660.0\nTurkey,TUR,2008,20896134.0\nTurkey,TUR,2009,20989608.0\nTurkey,TUR,2010,21083080.0\nTurkey,TUR,2011,21192524.0\nTurkey,TUR,2012,21301968.0\nTurkey,TUR,2013,21411412.0\nTurkey,TUR,2014,21520856.0\nTurkey,TUR,2015,21630300.0\nTurkey,TUR,2016,21748312.0\nTurkey,TUR,2017,21866324.0\nTurkey,TUR,2018,21984336.0\nTurkey,TUR,2019,22102348.0\nTurkey,TUR,2020,22220360.0\nTurkey,TUR,2021,22337440.0\nTurkey,TUR,2022,22454520.0\nTurkey,TUR,2023,22571600.0\nTurkey,TUR,2024,22688680.0\n```\n\nWas forest area in Turkey higher in 1999 or 2019?","response":"Higher in 2019. The chart gives 20,111,862 ha for 1999 and 22,102,348 ha for 2019, a difference of 1,990,486 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nTurkey,TUR,1995,19965916.0\nTurkey,TUR,1996,20002402.0\nTurkey,TUR,1997,20038888.0\nTurkey,TUR,1998,20075376.0\nTurkey,TUR,1999,20111862.0\nTurkey,TUR,2000,20148350.0\nTurkey,TUR,2001,20241822.0\nTurkey,TUR,2002,20335296.0\nTurkey,TUR,2003,20428768.0\nTurkey,TUR,2004,20522242.0\nTurkey,TUR,2005,20615714.0\nTurkey,TUR,2006,20709188.0\nTurkey,TUR,2007,20802660.0\nTurkey,TUR,2008,20896134.0\nTurkey,TUR,2009,20989608.0\nTurkey,TUR,2010,21083080.0\nTurkey,TUR,2011,21192524.0\nTurkey,TUR,2012,21301968.0\nTurkey,TUR,2013,21411412.0\nTurkey,TUR,2014,21520856.0\nTurkey,TUR,2015,21630300.0\nTurkey,TUR,2016,21748312.0\nTurkey,TUR,2017,21866324.0\nTurkey,TUR,2018,21984336.0\nTurkey,TUR,2019,22102348.0\nTurkey,TUR,2020,22220360.0\nTurkey,TUR,2021,22337440.0\nTurkey,TUR,2022,22454520.0\nTurkey,TUR,2023,22571600.0\nTurkey,TUR,2024,22688680.0\n```\n\nThis chart appears to show forest area in Turkey rising steeply. How large is the increase actually?","response":"The plotted values run from 19,965,916 ha to 22,688,680 ha, so the actual change is +13.64%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 17243335.6 instead of zero, which magnifies the visual change by roughly 3.0x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nTurkey,TUR,1995,19965916.0\nTurkey,TUR,1996,20002402.0\nTurkey,TUR,1997,20038888.0\nTurkey,TUR,1998,20075376.0\nTurkey,TUR,1999,20111862.0\nTurkey,TUR,2000,20148350.0\nTurkey,TUR,2001,20241822.0\nTurkey,TUR,2002,20335296.0\nTurkey,TUR,2003,20428768.0\nTurkey,TUR,2004,20522242.0\nTurkey,TUR,2005,20615714.0\nTurkey,TUR,2006,20709188.0\nTurkey,TUR,2007,20802660.0\nTurkey,TUR,2008,20896134.0\nTurkey,TUR,2009,20989608.0\nTurkey,TUR,2010,21083080.0\nTurkey,TUR,2011,21192524.0\nTurkey,TUR,2012,21301968.0\nTurkey,TUR,2013,21411412.0\nTurkey,TUR,2014,21520856.0\nTurkey,TUR,2015,21630300.0\nTurkey,TUR,2016,21748312.0\nTurkey,TUR,2017,21866324.0\nTurkey,TUR,2018,21984336.0\nTurkey,TUR,2019,22102348.0\nTurkey,TUR,2020,22220360.0\nTurkey,TUR,2021,22337440.0\nTurkey,TUR,2022,22454520.0\nTurkey,TUR,2023,22571600.0\nTurkey,TUR,2024,22688680.0\n```\n\nBased on this chart, is forest area in Turkey rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 19,965,916 ha to 22,688,680 ha, a change of +13.64%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nTurkey,TUR,1995,19965916.0\nTurkey,TUR,1996,20002402.0\nTurkey,TUR,1997,20038888.0\nTurkey,TUR,1998,20075376.0\nTurkey,TUR,1999,20111862.0\nTurkey,TUR,2000,20148350.0\nTurkey,TUR,2001,20241822.0\nTurkey,TUR,2002,20335296.0\nTurkey,TUR,2003,20428768.0\nTurkey,TUR,2004,20522242.0\nTurkey,TUR,2005,20615714.0\nTurkey,TUR,2006,20709188.0\nTurkey,TUR,2007,20802660.0\nTurkey,TUR,2008,20896134.0\nTurkey,TUR,2009,20989608.0\nTurkey,TUR,2010,21083080.0\nTurkey,TUR,2011,21192524.0\nTurkey,TUR,2012,21301968.0\nTurkey,TUR,2013,21411412.0\nTurkey,TUR,2014,21520856.0\nTurkey,TUR,2015,21630300.0\nTurkey,TUR,2016,21748312.0\nTurkey,TUR,2017,21866324.0\nTurkey,TUR,2018,21984336.0\nTurkey,TUR,2019,22102348.0\nTurkey,TUR,2020,22220360.0\nTurkey,TUR,2021,22337440.0\nTurkey,TUR,2022,22454520.0\nTurkey,TUR,2023,22571600.0\nTurkey,TUR,2024,22688680.0\n```\n\nWhat was forest area for Turkey in 1980?","response":"That year is outside this chart. The series runs 1995 to 2024, and 1980 falls before it begins, so there is no value to read. The earliest point available is 1995, at 19,965,916 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Turkey__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nVietnam,VNM,1995,10580030.0\nVietnam,VNM,1996,10820844.0\nVietnam,VNM,1997,11061658.0\nVietnam,VNM,1998,11302472.0\nVietnam,VNM,1999,11543286.0\nVietnam,VNM,2000,11784100.0\nVietnam,VNM,2001,11944496.0\nVietnam,VNM,2002,12104892.0\nVietnam,VNM,2003,12265288.0\nVietnam,VNM,2004,12425684.0\nVietnam,VNM,2005,12586080.0\nVietnam,VNM,2006,12746476.0\nVietnam,VNM,2007,12906872.0\nVietnam,VNM,2008,13067268.0\nVietnam,VNM,2009,13227664.0\nVietnam,VNM,2010,13388060.0\nVietnam,VNM,2011,13522820.0\nVietnam,VNM,2012,13657580.0\nVietnam,VNM,2013,13792340.0\nVietnam,VNM,2014,13927100.0\nVietnam,VNM,2015,14061860.0\nVietnam,VNM,2016,14184932.0\nVietnam,VNM,2017,14308004.0\nVietnam,VNM,2018,14431076.0\nVietnam,VNM,2019,14554148.0\nVietnam,VNM,2020,14677220.0\nVietnam,VNM,2021,14699792.0\nVietnam,VNM,2022,14722364.0\nVietnam,VNM,2023,14744936.0\nVietnam,VNM,2024,14767508.0\n```\n\nAccording to this chart, what was forest area in Vietnam in 2016?","response":"Reading the plotted point for 2016, forest area in Vietnam was 14,184,932 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nVietnam,VNM,1995,10580030.0\nVietnam,VNM,1996,10820844.0\nVietnam,VNM,1997,11061658.0\nVietnam,VNM,1998,11302472.0\nVietnam,VNM,1999,11543286.0\nVietnam,VNM,2000,11784100.0\nVietnam,VNM,2001,11944496.0\nVietnam,VNM,2002,12104892.0\nVietnam,VNM,2003,12265288.0\nVietnam,VNM,2004,12425684.0\nVietnam,VNM,2005,12586080.0\nVietnam,VNM,2006,12746476.0\nVietnam,VNM,2007,12906872.0\nVietnam,VNM,2008,13067268.0\nVietnam,VNM,2009,13227664.0\nVietnam,VNM,2010,13388060.0\nVietnam,VNM,2011,13522820.0\nVietnam,VNM,2012,13657580.0\nVietnam,VNM,2013,13792340.0\nVietnam,VNM,2014,13927100.0\nVietnam,VNM,2015,14061860.0\nVietnam,VNM,2016,14184932.0\nVietnam,VNM,2017,14308004.0\nVietnam,VNM,2018,14431076.0\nVietnam,VNM,2019,14554148.0\nVietnam,VNM,2020,14677220.0\nVietnam,VNM,2021,14699792.0\nVietnam,VNM,2022,14722364.0\nVietnam,VNM,2023,14744936.0\nVietnam,VNM,2024,14767508.0\n```\n\nIn which year shown does forest area reach its highest value for Vietnam?","response":"The series peaks in 2024, at 14,767,508 ha. The lowest point shown is 1995, at 10,580,030 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nVietnam,VNM,1995,10580030.0\nVietnam,VNM,1996,10820844.0\nVietnam,VNM,1997,11061658.0\nVietnam,VNM,1998,11302472.0\nVietnam,VNM,1999,11543286.0\nVietnam,VNM,2000,11784100.0\nVietnam,VNM,2001,11944496.0\nVietnam,VNM,2002,12104892.0\nVietnam,VNM,2003,12265288.0\nVietnam,VNM,2004,12425684.0\nVietnam,VNM,2005,12586080.0\nVietnam,VNM,2006,12746476.0\nVietnam,VNM,2007,12906872.0\nVietnam,VNM,2008,13067268.0\nVietnam,VNM,2009,13227664.0\nVietnam,VNM,2010,13388060.0\nVietnam,VNM,2011,13522820.0\nVietnam,VNM,2012,13657580.0\nVietnam,VNM,2013,13792340.0\nVietnam,VNM,2014,13927100.0\nVietnam,VNM,2015,14061860.0\nVietnam,VNM,2016,14184932.0\nVietnam,VNM,2017,14308004.0\nVietnam,VNM,2018,14431076.0\nVietnam,VNM,2019,14554148.0\nVietnam,VNM,2020,14677220.0\nVietnam,VNM,2021,14699792.0\nVietnam,VNM,2022,14722364.0\nVietnam,VNM,2023,14744936.0\nVietnam,VNM,2024,14767508.0\n```\n\nHow much did forest area change for Vietnam between 1995 and 2024?","response":"It moved from 10,580,030 ha in 1995 to 14,767,508 ha in 2024, a change of 4,187,478 ha (+39.58%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nVietnam,VNM,1995,10580030.0\nVietnam,VNM,1996,10820844.0\nVietnam,VNM,1997,11061658.0\nVietnam,VNM,1998,11302472.0\nVietnam,VNM,1999,11543286.0\nVietnam,VNM,2000,11784100.0\nVietnam,VNM,2001,11944496.0\nVietnam,VNM,2002,12104892.0\nVietnam,VNM,2003,12265288.0\nVietnam,VNM,2004,12425684.0\nVietnam,VNM,2005,12586080.0\nVietnam,VNM,2006,12746476.0\nVietnam,VNM,2007,12906872.0\nVietnam,VNM,2008,13067268.0\nVietnam,VNM,2009,13227664.0\nVietnam,VNM,2010,13388060.0\nVietnam,VNM,2011,13522820.0\nVietnam,VNM,2012,13657580.0\nVietnam,VNM,2013,13792340.0\nVietnam,VNM,2014,13927100.0\nVietnam,VNM,2015,14061860.0\nVietnam,VNM,2016,14184932.0\nVietnam,VNM,2017,14308004.0\nVietnam,VNM,2018,14431076.0\nVietnam,VNM,2019,14554148.0\nVietnam,VNM,2020,14677220.0\nVietnam,VNM,2021,14699792.0\nVietnam,VNM,2022,14722364.0\nVietnam,VNM,2023,14744936.0\nVietnam,VNM,2024,14767508.0\n```\n\nWas forest area in Vietnam higher in 2006 or 2019?","response":"Higher in 2019. The chart gives 12,746,476 ha for 2006 and 14,554,148 ha for 2019, a difference of 1,807,672 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nVietnam,VNM,1995,10580030.0\nVietnam,VNM,1996,10820844.0\nVietnam,VNM,1997,11061658.0\nVietnam,VNM,1998,11302472.0\nVietnam,VNM,1999,11543286.0\nVietnam,VNM,2000,11784100.0\nVietnam,VNM,2001,11944496.0\nVietnam,VNM,2002,12104892.0\nVietnam,VNM,2003,12265288.0\nVietnam,VNM,2004,12425684.0\nVietnam,VNM,2005,12586080.0\nVietnam,VNM,2006,12746476.0\nVietnam,VNM,2007,12906872.0\nVietnam,VNM,2008,13067268.0\nVietnam,VNM,2009,13227664.0\nVietnam,VNM,2010,13388060.0\nVietnam,VNM,2011,13522820.0\nVietnam,VNM,2012,13657580.0\nVietnam,VNM,2013,13792340.0\nVietnam,VNM,2014,13927100.0\nVietnam,VNM,2015,14061860.0\nVietnam,VNM,2016,14184932.0\nVietnam,VNM,2017,14308004.0\nVietnam,VNM,2018,14431076.0\nVietnam,VNM,2019,14554148.0\nVietnam,VNM,2020,14677220.0\nVietnam,VNM,2021,14699792.0\nVietnam,VNM,2022,14722364.0\nVietnam,VNM,2023,14744936.0\nVietnam,VNM,2024,14767508.0\n```\n\nAccording to this chart, what was forest area in Vietnam in 2016?","response":"Reading the plotted point for 2016, forest area in Vietnam was 14,184,932 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nVietnam,VNM,1995,10580030.0\nVietnam,VNM,1996,10820844.0\nVietnam,VNM,1997,11061658.0\nVietnam,VNM,1998,11302472.0\nVietnam,VNM,1999,11543286.0\nVietnam,VNM,2000,11784100.0\nVietnam,VNM,2001,11944496.0\nVietnam,VNM,2002,12104892.0\nVietnam,VNM,2003,12265288.0\nVietnam,VNM,2004,12425684.0\nVietnam,VNM,2005,12586080.0\nVietnam,VNM,2006,12746476.0\nVietnam,VNM,2007,12906872.0\nVietnam,VNM,2008,13067268.0\nVietnam,VNM,2009,13227664.0\nVietnam,VNM,2010,13388060.0\nVietnam,VNM,2011,13522820.0\nVietnam,VNM,2012,13657580.0\nVietnam,VNM,2013,13792340.0\nVietnam,VNM,2014,13927100.0\nVietnam,VNM,2015,14061860.0\nVietnam,VNM,2016,14184932.0\nVietnam,VNM,2017,14308004.0\nVietnam,VNM,2018,14431076.0\nVietnam,VNM,2019,14554148.0\nVietnam,VNM,2020,14677220.0\nVietnam,VNM,2021,14699792.0\nVietnam,VNM,2022,14722364.0\nVietnam,VNM,2023,14744936.0\nVietnam,VNM,2024,14767508.0\n```\n\nIn which year shown does forest area reach its highest value for Vietnam?","response":"The series peaks in 2024, at 14,767,508 ha. The lowest point shown is 1995, at 10,580,030 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nVietnam,VNM,1995,10580030.0\nVietnam,VNM,1996,10820844.0\nVietnam,VNM,1997,11061658.0\nVietnam,VNM,1998,11302472.0\nVietnam,VNM,1999,11543286.0\nVietnam,VNM,2000,11784100.0\nVietnam,VNM,2001,11944496.0\nVietnam,VNM,2002,12104892.0\nVietnam,VNM,2003,12265288.0\nVietnam,VNM,2004,12425684.0\nVietnam,VNM,2005,12586080.0\nVietnam,VNM,2006,12746476.0\nVietnam,VNM,2007,12906872.0\nVietnam,VNM,2008,13067268.0\nVietnam,VNM,2009,13227664.0\nVietnam,VNM,2010,13388060.0\nVietnam,VNM,2011,13522820.0\nVietnam,VNM,2012,13657580.0\nVietnam,VNM,2013,13792340.0\nVietnam,VNM,2014,13927100.0\nVietnam,VNM,2015,14061860.0\nVietnam,VNM,2016,14184932.0\nVietnam,VNM,2017,14308004.0\nVietnam,VNM,2018,14431076.0\nVietnam,VNM,2019,14554148.0\nVietnam,VNM,2020,14677220.0\nVietnam,VNM,2021,14699792.0\nVietnam,VNM,2022,14722364.0\nVietnam,VNM,2023,14744936.0\nVietnam,VNM,2024,14767508.0\n```\n\nHow much did forest area change for Vietnam between 1995 and 2024?","response":"It moved from 10,580,030 ha in 1995 to 14,767,508 ha in 2024, a change of 4,187,478 ha (+39.58%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nVietnam,VNM,1995,10580030.0\nVietnam,VNM,1996,10820844.0\nVietnam,VNM,1997,11061658.0\nVietnam,VNM,1998,11302472.0\nVietnam,VNM,1999,11543286.0\nVietnam,VNM,2000,11784100.0\nVietnam,VNM,2001,11944496.0\nVietnam,VNM,2002,12104892.0\nVietnam,VNM,2003,12265288.0\nVietnam,VNM,2004,12425684.0\nVietnam,VNM,2005,12586080.0\nVietnam,VNM,2006,12746476.0\nVietnam,VNM,2007,12906872.0\nVietnam,VNM,2008,13067268.0\nVietnam,VNM,2009,13227664.0\nVietnam,VNM,2010,13388060.0\nVietnam,VNM,2011,13522820.0\nVietnam,VNM,2012,13657580.0\nVietnam,VNM,2013,13792340.0\nVietnam,VNM,2014,13927100.0\nVietnam,VNM,2015,14061860.0\nVietnam,VNM,2016,14184932.0\nVietnam,VNM,2017,14308004.0\nVietnam,VNM,2018,14431076.0\nVietnam,VNM,2019,14554148.0\nVietnam,VNM,2020,14677220.0\nVietnam,VNM,2021,14699792.0\nVietnam,VNM,2022,14722364.0\nVietnam,VNM,2023,14744936.0\nVietnam,VNM,2024,14767508.0\n```\n\nWas forest area in Vietnam higher in 2006 or 2019?","response":"Higher in 2019. The chart gives 12,746,476 ha for 2006 and 14,554,148 ha for 2019, a difference of 1,807,672 ha.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nVietnam,VNM,1995,10580030.0\nVietnam,VNM,1996,10820844.0\nVietnam,VNM,1997,11061658.0\nVietnam,VNM,1998,11302472.0\nVietnam,VNM,1999,11543286.0\nVietnam,VNM,2000,11784100.0\nVietnam,VNM,2001,11944496.0\nVietnam,VNM,2002,12104892.0\nVietnam,VNM,2003,12265288.0\nVietnam,VNM,2004,12425684.0\nVietnam,VNM,2005,12586080.0\nVietnam,VNM,2006,12746476.0\nVietnam,VNM,2007,12906872.0\nVietnam,VNM,2008,13067268.0\nVietnam,VNM,2009,13227664.0\nVietnam,VNM,2010,13388060.0\nVietnam,VNM,2011,13522820.0\nVietnam,VNM,2012,13657580.0\nVietnam,VNM,2013,13792340.0\nVietnam,VNM,2014,13927100.0\nVietnam,VNM,2015,14061860.0\nVietnam,VNM,2016,14184932.0\nVietnam,VNM,2017,14308004.0\nVietnam,VNM,2018,14431076.0\nVietnam,VNM,2019,14554148.0\nVietnam,VNM,2020,14677220.0\nVietnam,VNM,2021,14699792.0\nVietnam,VNM,2022,14722364.0\nVietnam,VNM,2023,14744936.0\nVietnam,VNM,2024,14767508.0\n```\n\nBased on this chart, is forest area in Vietnam rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 10,580,030 ha to 14,767,508 ha, a change of +39.58%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nVietnam,VNM,1995,10580030.0\nVietnam,VNM,1996,10820844.0\nVietnam,VNM,1997,11061658.0\nVietnam,VNM,1998,11302472.0\nVietnam,VNM,1999,11543286.0\nVietnam,VNM,2000,11784100.0\nVietnam,VNM,2001,11944496.0\nVietnam,VNM,2002,12104892.0\nVietnam,VNM,2003,12265288.0\nVietnam,VNM,2004,12425684.0\nVietnam,VNM,2005,12586080.0\nVietnam,VNM,2006,12746476.0\nVietnam,VNM,2007,12906872.0\nVietnam,VNM,2008,13067268.0\nVietnam,VNM,2009,13227664.0\nVietnam,VNM,2010,13388060.0\nVietnam,VNM,2011,13522820.0\nVietnam,VNM,2012,13657580.0\nVietnam,VNM,2013,13792340.0\nVietnam,VNM,2014,13927100.0\nVietnam,VNM,2015,14061860.0\nVietnam,VNM,2016,14184932.0\nVietnam,VNM,2017,14308004.0\nVietnam,VNM,2018,14431076.0\nVietnam,VNM,2019,14554148.0\nVietnam,VNM,2020,14677220.0\nVietnam,VNM,2021,14699792.0\nVietnam,VNM,2022,14722364.0\nVietnam,VNM,2023,14744936.0\nVietnam,VNM,2024,14767508.0\n```\n\nThis chart makes the change in forest area for Vietnam look dramatic. Is it?","response":"The values change by +39.58%, from 10,580,030 ha to 14,767,508 ha. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,Forest area\nVietnam,VNM,1995,10580030.0\nVietnam,VNM,1996,10820844.0\nVietnam,VNM,1997,11061658.0\nVietnam,VNM,1998,11302472.0\nVietnam,VNM,1999,11543286.0\nVietnam,VNM,2000,11784100.0\nVietnam,VNM,2001,11944496.0\nVietnam,VNM,2002,12104892.0\nVietnam,VNM,2003,12265288.0\nVietnam,VNM,2004,12425684.0\nVietnam,VNM,2005,12586080.0\nVietnam,VNM,2006,12746476.0\nVietnam,VNM,2007,12906872.0\nVietnam,VNM,2008,13067268.0\nVietnam,VNM,2009,13227664.0\nVietnam,VNM,2010,13388060.0\nVietnam,VNM,2011,13522820.0\nVietnam,VNM,2012,13657580.0\nVietnam,VNM,2013,13792340.0\nVietnam,VNM,2014,13927100.0\nVietnam,VNM,2015,14061860.0\nVietnam,VNM,2016,14184932.0\nVietnam,VNM,2017,14308004.0\nVietnam,VNM,2018,14431076.0\nVietnam,VNM,2019,14554148.0\nVietnam,VNM,2020,14677220.0\nVietnam,VNM,2021,14699792.0\nVietnam,VNM,2022,14722364.0\nVietnam,VNM,2023,14744936.0\nVietnam,VNM,2024,14767508.0\n```\n\nHow does Vietnam compare with Nigeria on this measure?","response":"This chart covers Vietnam only, so Nigeria is not plotted and I cannot compare them from it. The chart does support statements about Vietnam on its own: the series runs from 10,580,030 ha in 1995 to 14,767,508 ha in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/forest-area-km__Vietnam__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Forest area","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/forest-area-km?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nVietnam,VNM,1995,1003813.75\nVietnam,VNM,1996,1072407.5\nVietnam,VNM,1997,1217302.5\nVietnam,VNM,1998,1288070.0\nVietnam,VNM,1999,1383205.0\nVietnam,VNM,2000,1495279.1\nVietnam,VNM,2001,1594956.0\nVietnam,VNM,2002,1735267.5\nVietnam,VNM,2003,1879023.4\nVietnam,VNM,2004,1980689.0\nVietnam,VNM,2005,2203751.5\nVietnam,VNM,2006,2398505.5\nVietnam,VNM,2007,2480781.8\nVietnam,VNM,2008,2754169.5\nVietnam,VNM,2009,2971899.0\nVietnam,VNM,2010,2982197.0\nVietnam,VNM,2011,3101978.5\nVietnam,VNM,2012,3178506.0\nVietnam,VNM,2013,3273795.5\nVietnam,VNM,2014,3406700.5\nVietnam,VNM,2015,3929587.2\nVietnam,VNM,2016,4391119.5\nVietnam,VNM,2017,4558946.0\nVietnam,VNM,2018,4738724.5\nVietnam,VNM,2019,4484962.5\nVietnam,VNM,2020,4606145.5\nVietnam,VNM,2021,4980970.5\nVietnam,VNM,2022,5248055.0\nVietnam,VNM,2023,5649113.5\nVietnam,VNM,2024,5598991.0\n```\n\nAccording to this chart, what was all meat - production (tonnes) in Vietnam in 2008?","response":"Reading the plotted point for 2008, all meat - production (tonnes) in Vietnam was 2,754,169.5 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nVietnam,VNM,1995,1003813.75\nVietnam,VNM,1996,1072407.5\nVietnam,VNM,1997,1217302.5\nVietnam,VNM,1998,1288070.0\nVietnam,VNM,1999,1383205.0\nVietnam,VNM,2000,1495279.1\nVietnam,VNM,2001,1594956.0\nVietnam,VNM,2002,1735267.5\nVietnam,VNM,2003,1879023.4\nVietnam,VNM,2004,1980689.0\nVietnam,VNM,2005,2203751.5\nVietnam,VNM,2006,2398505.5\nVietnam,VNM,2007,2480781.8\nVietnam,VNM,2008,2754169.5\nVietnam,VNM,2009,2971899.0\nVietnam,VNM,2010,2982197.0\nVietnam,VNM,2011,3101978.5\nVietnam,VNM,2012,3178506.0\nVietnam,VNM,2013,3273795.5\nVietnam,VNM,2014,3406700.5\nVietnam,VNM,2015,3929587.2\nVietnam,VNM,2016,4391119.5\nVietnam,VNM,2017,4558946.0\nVietnam,VNM,2018,4738724.5\nVietnam,VNM,2019,4484962.5\nVietnam,VNM,2020,4606145.5\nVietnam,VNM,2021,4980970.5\nVietnam,VNM,2022,5248055.0\nVietnam,VNM,2023,5649113.5\nVietnam,VNM,2024,5598991.0\n```\n\nIn which year shown does all meat - production (tonnes) reach its highest value for Vietnam?","response":"The series peaks in 2023, at 5,649,113.5 t. The lowest point shown is 1995, at 1,003,813.75 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nVietnam,VNM,1995,1003813.75\nVietnam,VNM,1996,1072407.5\nVietnam,VNM,1997,1217302.5\nVietnam,VNM,1998,1288070.0\nVietnam,VNM,1999,1383205.0\nVietnam,VNM,2000,1495279.1\nVietnam,VNM,2001,1594956.0\nVietnam,VNM,2002,1735267.5\nVietnam,VNM,2003,1879023.4\nVietnam,VNM,2004,1980689.0\nVietnam,VNM,2005,2203751.5\nVietnam,VNM,2006,2398505.5\nVietnam,VNM,2007,2480781.8\nVietnam,VNM,2008,2754169.5\nVietnam,VNM,2009,2971899.0\nVietnam,VNM,2010,2982197.0\nVietnam,VNM,2011,3101978.5\nVietnam,VNM,2012,3178506.0\nVietnam,VNM,2013,3273795.5\nVietnam,VNM,2014,3406700.5\nVietnam,VNM,2015,3929587.2\nVietnam,VNM,2016,4391119.5\nVietnam,VNM,2017,4558946.0\nVietnam,VNM,2018,4738724.5\nVietnam,VNM,2019,4484962.5\nVietnam,VNM,2020,4606145.5\nVietnam,VNM,2021,4980970.5\nVietnam,VNM,2022,5248055.0\nVietnam,VNM,2023,5649113.5\nVietnam,VNM,2024,5598991.0\n```\n\nHow much did all meat - production (tonnes) change for Vietnam between 1995 and 2024?","response":"It moved from 1,003,813.75 t in 1995 to 5,598,991 t in 2024, a change of 4,595,177.25 t (+457.77%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nVietnam,VNM,1995,1003813.75\nVietnam,VNM,1996,1072407.5\nVietnam,VNM,1997,1217302.5\nVietnam,VNM,1998,1288070.0\nVietnam,VNM,1999,1383205.0\nVietnam,VNM,2000,1495279.1\nVietnam,VNM,2001,1594956.0\nVietnam,VNM,2002,1735267.5\nVietnam,VNM,2003,1879023.4\nVietnam,VNM,2004,1980689.0\nVietnam,VNM,2005,2203751.5\nVietnam,VNM,2006,2398505.5\nVietnam,VNM,2007,2480781.8\nVietnam,VNM,2008,2754169.5\nVietnam,VNM,2009,2971899.0\nVietnam,VNM,2010,2982197.0\nVietnam,VNM,2011,3101978.5\nVietnam,VNM,2012,3178506.0\nVietnam,VNM,2013,3273795.5\nVietnam,VNM,2014,3406700.5\nVietnam,VNM,2015,3929587.2\nVietnam,VNM,2016,4391119.5\nVietnam,VNM,2017,4558946.0\nVietnam,VNM,2018,4738724.5\nVietnam,VNM,2019,4484962.5\nVietnam,VNM,2020,4606145.5\nVietnam,VNM,2021,4980970.5\nVietnam,VNM,2022,5248055.0\nVietnam,VNM,2023,5649113.5\nVietnam,VNM,2024,5598991.0\n```\n\nWas all meat - production (tonnes) in Vietnam higher in 1995 or 2014?","response":"Higher in 2014. The chart gives 1,003,813.75 t for 1995 and 3,406,700.5 t for 2014, a difference of 2,402,886.75 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nVietnam,VNM,1995,1003813.75\nVietnam,VNM,1996,1072407.5\nVietnam,VNM,1997,1217302.5\nVietnam,VNM,1998,1288070.0\nVietnam,VNM,1999,1383205.0\nVietnam,VNM,2000,1495279.1\nVietnam,VNM,2001,1594956.0\nVietnam,VNM,2002,1735267.5\nVietnam,VNM,2003,1879023.4\nVietnam,VNM,2004,1980689.0\nVietnam,VNM,2005,2203751.5\nVietnam,VNM,2006,2398505.5\nVietnam,VNM,2007,2480781.8\nVietnam,VNM,2008,2754169.5\nVietnam,VNM,2009,2971899.0\nVietnam,VNM,2010,2982197.0\nVietnam,VNM,2011,3101978.5\nVietnam,VNM,2012,3178506.0\nVietnam,VNM,2013,3273795.5\nVietnam,VNM,2014,3406700.5\nVietnam,VNM,2015,3929587.2\nVietnam,VNM,2016,4391119.5\nVietnam,VNM,2017,4558946.0\nVietnam,VNM,2018,4738724.5\nVietnam,VNM,2019,4484962.5\nVietnam,VNM,2020,4606145.5\nVietnam,VNM,2021,4980970.5\nVietnam,VNM,2022,5248055.0\nVietnam,VNM,2023,5649113.5\nVietnam,VNM,2024,5598991.0\n```\n\nAccording to this chart, what was all meat - production (tonnes) in Vietnam in 2008?","response":"Reading the plotted point for 2008, all meat - production (tonnes) in Vietnam was 2,754,169.5 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nVietnam,VNM,1995,1003813.75\nVietnam,VNM,1996,1072407.5\nVietnam,VNM,1997,1217302.5\nVietnam,VNM,1998,1288070.0\nVietnam,VNM,1999,1383205.0\nVietnam,VNM,2000,1495279.1\nVietnam,VNM,2001,1594956.0\nVietnam,VNM,2002,1735267.5\nVietnam,VNM,2003,1879023.4\nVietnam,VNM,2004,1980689.0\nVietnam,VNM,2005,2203751.5\nVietnam,VNM,2006,2398505.5\nVietnam,VNM,2007,2480781.8\nVietnam,VNM,2008,2754169.5\nVietnam,VNM,2009,2971899.0\nVietnam,VNM,2010,2982197.0\nVietnam,VNM,2011,3101978.5\nVietnam,VNM,2012,3178506.0\nVietnam,VNM,2013,3273795.5\nVietnam,VNM,2014,3406700.5\nVietnam,VNM,2015,3929587.2\nVietnam,VNM,2016,4391119.5\nVietnam,VNM,2017,4558946.0\nVietnam,VNM,2018,4738724.5\nVietnam,VNM,2019,4484962.5\nVietnam,VNM,2020,4606145.5\nVietnam,VNM,2021,4980970.5\nVietnam,VNM,2022,5248055.0\nVietnam,VNM,2023,5649113.5\nVietnam,VNM,2024,5598991.0\n```\n\nIn which year shown does all meat - production (tonnes) reach its highest value for Vietnam?","response":"The series peaks in 2023, at 5,649,113.5 t. The lowest point shown is 1995, at 1,003,813.75 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nVietnam,VNM,1995,1003813.75\nVietnam,VNM,1996,1072407.5\nVietnam,VNM,1997,1217302.5\nVietnam,VNM,1998,1288070.0\nVietnam,VNM,1999,1383205.0\nVietnam,VNM,2000,1495279.1\nVietnam,VNM,2001,1594956.0\nVietnam,VNM,2002,1735267.5\nVietnam,VNM,2003,1879023.4\nVietnam,VNM,2004,1980689.0\nVietnam,VNM,2005,2203751.5\nVietnam,VNM,2006,2398505.5\nVietnam,VNM,2007,2480781.8\nVietnam,VNM,2008,2754169.5\nVietnam,VNM,2009,2971899.0\nVietnam,VNM,2010,2982197.0\nVietnam,VNM,2011,3101978.5\nVietnam,VNM,2012,3178506.0\nVietnam,VNM,2013,3273795.5\nVietnam,VNM,2014,3406700.5\nVietnam,VNM,2015,3929587.2\nVietnam,VNM,2016,4391119.5\nVietnam,VNM,2017,4558946.0\nVietnam,VNM,2018,4738724.5\nVietnam,VNM,2019,4484962.5\nVietnam,VNM,2020,4606145.5\nVietnam,VNM,2021,4980970.5\nVietnam,VNM,2022,5248055.0\nVietnam,VNM,2023,5649113.5\nVietnam,VNM,2024,5598991.0\n```\n\nHow much did all meat - production (tonnes) change for Vietnam between 1995 and 2024?","response":"It moved from 1,003,813.75 t in 1995 to 5,598,991 t in 2024, a change of 4,595,177.25 t (+457.77%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nVietnam,VNM,1995,1003813.75\nVietnam,VNM,1996,1072407.5\nVietnam,VNM,1997,1217302.5\nVietnam,VNM,1998,1288070.0\nVietnam,VNM,1999,1383205.0\nVietnam,VNM,2000,1495279.1\nVietnam,VNM,2001,1594956.0\nVietnam,VNM,2002,1735267.5\nVietnam,VNM,2003,1879023.4\nVietnam,VNM,2004,1980689.0\nVietnam,VNM,2005,2203751.5\nVietnam,VNM,2006,2398505.5\nVietnam,VNM,2007,2480781.8\nVietnam,VNM,2008,2754169.5\nVietnam,VNM,2009,2971899.0\nVietnam,VNM,2010,2982197.0\nVietnam,VNM,2011,3101978.5\nVietnam,VNM,2012,3178506.0\nVietnam,VNM,2013,3273795.5\nVietnam,VNM,2014,3406700.5\nVietnam,VNM,2015,3929587.2\nVietnam,VNM,2016,4391119.5\nVietnam,VNM,2017,4558946.0\nVietnam,VNM,2018,4738724.5\nVietnam,VNM,2019,4484962.5\nVietnam,VNM,2020,4606145.5\nVietnam,VNM,2021,4980970.5\nVietnam,VNM,2022,5248055.0\nVietnam,VNM,2023,5649113.5\nVietnam,VNM,2024,5598991.0\n```\n\nWas all meat - production (tonnes) in Vietnam higher in 1995 or 2014?","response":"Higher in 2014. The chart gives 1,003,813.75 t for 1995 and 3,406,700.5 t for 2014, a difference of 2,402,886.75 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nVietnam,VNM,1995,1003813.75\nVietnam,VNM,1996,1072407.5\nVietnam,VNM,1997,1217302.5\nVietnam,VNM,1998,1288070.0\nVietnam,VNM,1999,1383205.0\nVietnam,VNM,2000,1495279.1\nVietnam,VNM,2001,1594956.0\nVietnam,VNM,2002,1735267.5\nVietnam,VNM,2003,1879023.4\nVietnam,VNM,2004,1980689.0\nVietnam,VNM,2005,2203751.5\nVietnam,VNM,2006,2398505.5\nVietnam,VNM,2007,2480781.8\nVietnam,VNM,2008,2754169.5\nVietnam,VNM,2009,2971899.0\nVietnam,VNM,2010,2982197.0\nVietnam,VNM,2011,3101978.5\nVietnam,VNM,2012,3178506.0\nVietnam,VNM,2013,3273795.5\nVietnam,VNM,2014,3406700.5\nVietnam,VNM,2015,3929587.2\nVietnam,VNM,2016,4391119.5\nVietnam,VNM,2017,4558946.0\nVietnam,VNM,2018,4738724.5\nVietnam,VNM,2019,4484962.5\nVietnam,VNM,2020,4606145.5\nVietnam,VNM,2021,4980970.5\nVietnam,VNM,2022,5248055.0\nVietnam,VNM,2023,5649113.5\nVietnam,VNM,2024,5598991.0\n```\n\nBased on this chart, is all meat - production (tonnes) in Vietnam rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 1,003,813.75 t to 5,598,991 t, a change of +457.77%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nVietnam,VNM,1995,1003813.75\nVietnam,VNM,1996,1072407.5\nVietnam,VNM,1997,1217302.5\nVietnam,VNM,1998,1288070.0\nVietnam,VNM,1999,1383205.0\nVietnam,VNM,2000,1495279.1\nVietnam,VNM,2001,1594956.0\nVietnam,VNM,2002,1735267.5\nVietnam,VNM,2003,1879023.4\nVietnam,VNM,2004,1980689.0\nVietnam,VNM,2005,2203751.5\nVietnam,VNM,2006,2398505.5\nVietnam,VNM,2007,2480781.8\nVietnam,VNM,2008,2754169.5\nVietnam,VNM,2009,2971899.0\nVietnam,VNM,2010,2982197.0\nVietnam,VNM,2011,3101978.5\nVietnam,VNM,2012,3178506.0\nVietnam,VNM,2013,3273795.5\nVietnam,VNM,2014,3406700.5\nVietnam,VNM,2015,3929587.2\nVietnam,VNM,2016,4391119.5\nVietnam,VNM,2017,4558946.0\nVietnam,VNM,2018,4738724.5\nVietnam,VNM,2019,4484962.5\nVietnam,VNM,2020,4606145.5\nVietnam,VNM,2021,4980970.5\nVietnam,VNM,2022,5248055.0\nVietnam,VNM,2023,5649113.5\nVietnam,VNM,2024,5598991.0\n```\n\nThis chart makes the change in all meat - production (tonnes) for Vietnam look dramatic. Is it?","response":"The values change by +457.77%, from 1,003,813.75 t to 5,598,991 t. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nVietnam,VNM,1995,1003813.75\nVietnam,VNM,1996,1072407.5\nVietnam,VNM,1997,1217302.5\nVietnam,VNM,1998,1288070.0\nVietnam,VNM,1999,1383205.0\nVietnam,VNM,2000,1495279.1\nVietnam,VNM,2001,1594956.0\nVietnam,VNM,2002,1735267.5\nVietnam,VNM,2003,1879023.4\nVietnam,VNM,2004,1980689.0\nVietnam,VNM,2005,2203751.5\nVietnam,VNM,2006,2398505.5\nVietnam,VNM,2007,2480781.8\nVietnam,VNM,2008,2754169.5\nVietnam,VNM,2009,2971899.0\nVietnam,VNM,2010,2982197.0\nVietnam,VNM,2011,3101978.5\nVietnam,VNM,2012,3178506.0\nVietnam,VNM,2013,3273795.5\nVietnam,VNM,2014,3406700.5\nVietnam,VNM,2015,3929587.2\nVietnam,VNM,2016,4391119.5\nVietnam,VNM,2017,4558946.0\nVietnam,VNM,2018,4738724.5\nVietnam,VNM,2019,4484962.5\nVietnam,VNM,2020,4606145.5\nVietnam,VNM,2021,4980970.5\nVietnam,VNM,2022,5248055.0\nVietnam,VNM,2023,5649113.5\nVietnam,VNM,2024,5598991.0\n```\n\nWhat was all meat - production (tonnes) for Vietnam in 1980?","response":"That year is outside this chart. The series runs 1995 to 2024, and 1980 falls before it begins, so there is no value to read. The earliest point available is 1995, at 1,003,813.75 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Vietnam__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nPoland,POL,1995,2802200.0\nPoland,POL,1996,2948255.0\nPoland,POL,1997,2820300.0\nPoland,POL,1998,3004217.0\nPoland,POL,1999,3026900.0\nPoland,POL,2000,2888000.0\nPoland,POL,2001,2890400.0\nPoland,POL,2002,3148358.2\nPoland,POL,2003,3242010.2\nPoland,POL,2004,3083918.0\nPoland,POL,2005,3182424.0\nPoland,POL,2006,3405379.0\nPoland,POL,2007,3583674.0\nPoland,POL,2008,3207542.0\nPoland,POL,2009,3359483.0\nPoland,POL,2010,3583600.0\nPoland,POL,2011,3652570.0\nPoland,POL,2012,3845687.2\nPoland,POL,2013,3879742.0\nPoland,POL,2014,4000180.8\nPoland,POL,2015,4167208.0\nPoland,POL,2016,4261392.5\nPoland,POL,2017,4318921.0\nPoland,POL,2018,5222634.0\nPoland,POL,2019,5130382.5\nPoland,POL,2020,5257102.0\nPoland,POL,2021,5113595.0\nPoland,POL,2022,5101854.5\nPoland,POL,2023,5060147.0\nPoland,POL,2024,5455245.5\n```\n\nAccording to this chart, what was all meat - production (tonnes) in Poland in 2023?","response":"Reading the plotted point for 2023, all meat - production (tonnes) in Poland was 5,060,147 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nPoland,POL,1995,2802200.0\nPoland,POL,1996,2948255.0\nPoland,POL,1997,2820300.0\nPoland,POL,1998,3004217.0\nPoland,POL,1999,3026900.0\nPoland,POL,2000,2888000.0\nPoland,POL,2001,2890400.0\nPoland,POL,2002,3148358.2\nPoland,POL,2003,3242010.2\nPoland,POL,2004,3083918.0\nPoland,POL,2005,3182424.0\nPoland,POL,2006,3405379.0\nPoland,POL,2007,3583674.0\nPoland,POL,2008,3207542.0\nPoland,POL,2009,3359483.0\nPoland,POL,2010,3583600.0\nPoland,POL,2011,3652570.0\nPoland,POL,2012,3845687.2\nPoland,POL,2013,3879742.0\nPoland,POL,2014,4000180.8\nPoland,POL,2015,4167208.0\nPoland,POL,2016,4261392.5\nPoland,POL,2017,4318921.0\nPoland,POL,2018,5222634.0\nPoland,POL,2019,5130382.5\nPoland,POL,2020,5257102.0\nPoland,POL,2021,5113595.0\nPoland,POL,2022,5101854.5\nPoland,POL,2023,5060147.0\nPoland,POL,2024,5455245.5\n```\n\nIn which year shown does all meat - production (tonnes) reach its highest value for Poland?","response":"The series peaks in 2024, at 5,455,245.5 t. The lowest point shown is 1995, at 2,802,200 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nPoland,POL,1995,2802200.0\nPoland,POL,1996,2948255.0\nPoland,POL,1997,2820300.0\nPoland,POL,1998,3004217.0\nPoland,POL,1999,3026900.0\nPoland,POL,2000,2888000.0\nPoland,POL,2001,2890400.0\nPoland,POL,2002,3148358.2\nPoland,POL,2003,3242010.2\nPoland,POL,2004,3083918.0\nPoland,POL,2005,3182424.0\nPoland,POL,2006,3405379.0\nPoland,POL,2007,3583674.0\nPoland,POL,2008,3207542.0\nPoland,POL,2009,3359483.0\nPoland,POL,2010,3583600.0\nPoland,POL,2011,3652570.0\nPoland,POL,2012,3845687.2\nPoland,POL,2013,3879742.0\nPoland,POL,2014,4000180.8\nPoland,POL,2015,4167208.0\nPoland,POL,2016,4261392.5\nPoland,POL,2017,4318921.0\nPoland,POL,2018,5222634.0\nPoland,POL,2019,5130382.5\nPoland,POL,2020,5257102.0\nPoland,POL,2021,5113595.0\nPoland,POL,2022,5101854.5\nPoland,POL,2023,5060147.0\nPoland,POL,2024,5455245.5\n```\n\nHow much did all meat - production (tonnes) change for Poland between 1995 and 2024?","response":"It moved from 2,802,200 t in 1995 to 5,455,245.5 t in 2024, a change of 2,653,045.5 t (+94.68%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nPoland,POL,1995,2802200.0\nPoland,POL,1996,2948255.0\nPoland,POL,1997,2820300.0\nPoland,POL,1998,3004217.0\nPoland,POL,1999,3026900.0\nPoland,POL,2000,2888000.0\nPoland,POL,2001,2890400.0\nPoland,POL,2002,3148358.2\nPoland,POL,2003,3242010.2\nPoland,POL,2004,3083918.0\nPoland,POL,2005,3182424.0\nPoland,POL,2006,3405379.0\nPoland,POL,2007,3583674.0\nPoland,POL,2008,3207542.0\nPoland,POL,2009,3359483.0\nPoland,POL,2010,3583600.0\nPoland,POL,2011,3652570.0\nPoland,POL,2012,3845687.2\nPoland,POL,2013,3879742.0\nPoland,POL,2014,4000180.8\nPoland,POL,2015,4167208.0\nPoland,POL,2016,4261392.5\nPoland,POL,2017,4318921.0\nPoland,POL,2018,5222634.0\nPoland,POL,2019,5130382.5\nPoland,POL,2020,5257102.0\nPoland,POL,2021,5113595.0\nPoland,POL,2022,5101854.5\nPoland,POL,2023,5060147.0\nPoland,POL,2024,5455245.5\n```\n\nWas all meat - production (tonnes) in Poland higher in 2000 or 2011?","response":"Higher in 2011. The chart gives 2,888,000 t for 2000 and 3,652,570 t for 2011, a difference of 764,570 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nPoland,POL,1995,2802200.0\nPoland,POL,1996,2948255.0\nPoland,POL,1997,2820300.0\nPoland,POL,1998,3004217.0\nPoland,POL,1999,3026900.0\nPoland,POL,2000,2888000.0\nPoland,POL,2001,2890400.0\nPoland,POL,2002,3148358.2\nPoland,POL,2003,3242010.2\nPoland,POL,2004,3083918.0\nPoland,POL,2005,3182424.0\nPoland,POL,2006,3405379.0\nPoland,POL,2007,3583674.0\nPoland,POL,2008,3207542.0\nPoland,POL,2009,3359483.0\nPoland,POL,2010,3583600.0\nPoland,POL,2011,3652570.0\nPoland,POL,2012,3845687.2\nPoland,POL,2013,3879742.0\nPoland,POL,2014,4000180.8\nPoland,POL,2015,4167208.0\nPoland,POL,2016,4261392.5\nPoland,POL,2017,4318921.0\nPoland,POL,2018,5222634.0\nPoland,POL,2019,5130382.5\nPoland,POL,2020,5257102.0\nPoland,POL,2021,5113595.0\nPoland,POL,2022,5101854.5\nPoland,POL,2023,5060147.0\nPoland,POL,2024,5455245.5\n```\n\nAccording to this chart, what was all meat - production (tonnes) in Poland in 2023?","response":"Reading the plotted point for 2023, all meat - production (tonnes) in Poland was 5,060,147 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nPoland,POL,1995,2802200.0\nPoland,POL,1996,2948255.0\nPoland,POL,1997,2820300.0\nPoland,POL,1998,3004217.0\nPoland,POL,1999,3026900.0\nPoland,POL,2000,2888000.0\nPoland,POL,2001,2890400.0\nPoland,POL,2002,3148358.2\nPoland,POL,2003,3242010.2\nPoland,POL,2004,3083918.0\nPoland,POL,2005,3182424.0\nPoland,POL,2006,3405379.0\nPoland,POL,2007,3583674.0\nPoland,POL,2008,3207542.0\nPoland,POL,2009,3359483.0\nPoland,POL,2010,3583600.0\nPoland,POL,2011,3652570.0\nPoland,POL,2012,3845687.2\nPoland,POL,2013,3879742.0\nPoland,POL,2014,4000180.8\nPoland,POL,2015,4167208.0\nPoland,POL,2016,4261392.5\nPoland,POL,2017,4318921.0\nPoland,POL,2018,5222634.0\nPoland,POL,2019,5130382.5\nPoland,POL,2020,5257102.0\nPoland,POL,2021,5113595.0\nPoland,POL,2022,5101854.5\nPoland,POL,2023,5060147.0\nPoland,POL,2024,5455245.5\n```\n\nIn which year shown does all meat - production (tonnes) reach its highest value for Poland?","response":"The series peaks in 2024, at 5,455,245.5 t. The lowest point shown is 1995, at 2,802,200 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nPoland,POL,1995,2802200.0\nPoland,POL,1996,2948255.0\nPoland,POL,1997,2820300.0\nPoland,POL,1998,3004217.0\nPoland,POL,1999,3026900.0\nPoland,POL,2000,2888000.0\nPoland,POL,2001,2890400.0\nPoland,POL,2002,3148358.2\nPoland,POL,2003,3242010.2\nPoland,POL,2004,3083918.0\nPoland,POL,2005,3182424.0\nPoland,POL,2006,3405379.0\nPoland,POL,2007,3583674.0\nPoland,POL,2008,3207542.0\nPoland,POL,2009,3359483.0\nPoland,POL,2010,3583600.0\nPoland,POL,2011,3652570.0\nPoland,POL,2012,3845687.2\nPoland,POL,2013,3879742.0\nPoland,POL,2014,4000180.8\nPoland,POL,2015,4167208.0\nPoland,POL,2016,4261392.5\nPoland,POL,2017,4318921.0\nPoland,POL,2018,5222634.0\nPoland,POL,2019,5130382.5\nPoland,POL,2020,5257102.0\nPoland,POL,2021,5113595.0\nPoland,POL,2022,5101854.5\nPoland,POL,2023,5060147.0\nPoland,POL,2024,5455245.5\n```\n\nHow much did all meat - production (tonnes) change for Poland between 1995 and 2024?","response":"It moved from 2,802,200 t in 1995 to 5,455,245.5 t in 2024, a change of 2,653,045.5 t (+94.68%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nPoland,POL,1995,2802200.0\nPoland,POL,1996,2948255.0\nPoland,POL,1997,2820300.0\nPoland,POL,1998,3004217.0\nPoland,POL,1999,3026900.0\nPoland,POL,2000,2888000.0\nPoland,POL,2001,2890400.0\nPoland,POL,2002,3148358.2\nPoland,POL,2003,3242010.2\nPoland,POL,2004,3083918.0\nPoland,POL,2005,3182424.0\nPoland,POL,2006,3405379.0\nPoland,POL,2007,3583674.0\nPoland,POL,2008,3207542.0\nPoland,POL,2009,3359483.0\nPoland,POL,2010,3583600.0\nPoland,POL,2011,3652570.0\nPoland,POL,2012,3845687.2\nPoland,POL,2013,3879742.0\nPoland,POL,2014,4000180.8\nPoland,POL,2015,4167208.0\nPoland,POL,2016,4261392.5\nPoland,POL,2017,4318921.0\nPoland,POL,2018,5222634.0\nPoland,POL,2019,5130382.5\nPoland,POL,2020,5257102.0\nPoland,POL,2021,5113595.0\nPoland,POL,2022,5101854.5\nPoland,POL,2023,5060147.0\nPoland,POL,2024,5455245.5\n```\n\nWas all meat - production (tonnes) in Poland higher in 2000 or 2011?","response":"Higher in 2011. The chart gives 2,888,000 t for 2000 and 3,652,570 t for 2011, a difference of 764,570 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nPoland,POL,1995,2802200.0\nPoland,POL,1996,2948255.0\nPoland,POL,1997,2820300.0\nPoland,POL,1998,3004217.0\nPoland,POL,1999,3026900.0\nPoland,POL,2000,2888000.0\nPoland,POL,2001,2890400.0\nPoland,POL,2002,3148358.2\nPoland,POL,2003,3242010.2\nPoland,POL,2004,3083918.0\nPoland,POL,2005,3182424.0\nPoland,POL,2006,3405379.0\nPoland,POL,2007,3583674.0\nPoland,POL,2008,3207542.0\nPoland,POL,2009,3359483.0\nPoland,POL,2010,3583600.0\nPoland,POL,2011,3652570.0\nPoland,POL,2012,3845687.2\nPoland,POL,2013,3879742.0\nPoland,POL,2014,4000180.8\nPoland,POL,2015,4167208.0\nPoland,POL,2016,4261392.5\nPoland,POL,2017,4318921.0\nPoland,POL,2018,5222634.0\nPoland,POL,2019,5130382.5\nPoland,POL,2020,5257102.0\nPoland,POL,2021,5113595.0\nPoland,POL,2022,5101854.5\nPoland,POL,2023,5060147.0\nPoland,POL,2024,5455245.5\n```\n\nBased on this chart, is all meat - production (tonnes) in Poland rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 2,802,200 t to 5,455,245.5 t, a change of +94.68%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nPoland,POL,1995,2802200.0\nPoland,POL,1996,2948255.0\nPoland,POL,1997,2820300.0\nPoland,POL,1998,3004217.0\nPoland,POL,1999,3026900.0\nPoland,POL,2000,2888000.0\nPoland,POL,2001,2890400.0\nPoland,POL,2002,3148358.2\nPoland,POL,2003,3242010.2\nPoland,POL,2004,3083918.0\nPoland,POL,2005,3182424.0\nPoland,POL,2006,3405379.0\nPoland,POL,2007,3583674.0\nPoland,POL,2008,3207542.0\nPoland,POL,2009,3359483.0\nPoland,POL,2010,3583600.0\nPoland,POL,2011,3652570.0\nPoland,POL,2012,3845687.2\nPoland,POL,2013,3879742.0\nPoland,POL,2014,4000180.8\nPoland,POL,2015,4167208.0\nPoland,POL,2016,4261392.5\nPoland,POL,2017,4318921.0\nPoland,POL,2018,5222634.0\nPoland,POL,2019,5130382.5\nPoland,POL,2020,5257102.0\nPoland,POL,2021,5113595.0\nPoland,POL,2022,5101854.5\nPoland,POL,2023,5060147.0\nPoland,POL,2024,5455245.5\n```\n\nThis chart makes the change in all meat - production (tonnes) for Poland look dramatic. Is it?","response":"The values change by +94.68%, from 2,802,200 t to 5,455,245.5 t. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nPoland,POL,1995,2802200.0\nPoland,POL,1996,2948255.0\nPoland,POL,1997,2820300.0\nPoland,POL,1998,3004217.0\nPoland,POL,1999,3026900.0\nPoland,POL,2000,2888000.0\nPoland,POL,2001,2890400.0\nPoland,POL,2002,3148358.2\nPoland,POL,2003,3242010.2\nPoland,POL,2004,3083918.0\nPoland,POL,2005,3182424.0\nPoland,POL,2006,3405379.0\nPoland,POL,2007,3583674.0\nPoland,POL,2008,3207542.0\nPoland,POL,2009,3359483.0\nPoland,POL,2010,3583600.0\nPoland,POL,2011,3652570.0\nPoland,POL,2012,3845687.2\nPoland,POL,2013,3879742.0\nPoland,POL,2014,4000180.8\nPoland,POL,2015,4167208.0\nPoland,POL,2016,4261392.5\nPoland,POL,2017,4318921.0\nPoland,POL,2018,5222634.0\nPoland,POL,2019,5130382.5\nPoland,POL,2020,5257102.0\nPoland,POL,2021,5113595.0\nPoland,POL,2022,5101854.5\nPoland,POL,2023,5060147.0\nPoland,POL,2024,5455245.5\n```\n\nHow does Poland compare with Kenya on this measure?","response":"This chart covers Poland only, so Kenya is not plotted and I cannot compare them from it. The chart does support statements about Poland on its own: the series runs from 2,802,200 t in 1995 to 5,455,245.5 t in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Poland__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nChile,CHL,1995,769847.0\nChile,CHL,1996,807058.0\nChile,CHL,1997,844022.0\nChile,CHL,1998,895675.0\nChile,CHL,1999,883217.0\nChile,CHL,2000,945521.0\nChile,CHL,2001,1024909.0\nChile,CHL,2002,1022210.0\nChile,CHL,2003,1040675.0\nChile,CHL,2004,1133944.0\nChile,CHL,2005,1193262.0\nChile,CHL,2006,1345037.0\nChile,CHL,2007,1346031.0\nChile,CHL,2008,1399848.0\nChile,CHL,2009,1351299.0\nChile,CHL,2010,1326708.0\nChile,CHL,2011,1395039.2\nChile,CHL,2012,1474759.0\nChile,CHL,2013,1454051.2\nChile,CHL,2014,1431259.8\nChile,CHL,2015,1482547.6\nChile,CHL,2016,1498623.2\nChile,CHL,2017,1418216.8\nChile,CHL,2018,1504889.4\nChile,CHL,2019,1534791.8\nChile,CHL,2020,1589030.5\nChile,CHL,2021,1576076.6\nChile,CHL,2022,1560324.9\nChile,CHL,2023,1552359.0\nChile,CHL,2024,1564175.1\n```\n\nAccording to this chart, what was all meat - production (tonnes) in Chile in 1998?","response":"Reading the plotted point for 1998, all meat - production (tonnes) in Chile was 895,675 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nChile,CHL,1995,769847.0\nChile,CHL,1996,807058.0\nChile,CHL,1997,844022.0\nChile,CHL,1998,895675.0\nChile,CHL,1999,883217.0\nChile,CHL,2000,945521.0\nChile,CHL,2001,1024909.0\nChile,CHL,2002,1022210.0\nChile,CHL,2003,1040675.0\nChile,CHL,2004,1133944.0\nChile,CHL,2005,1193262.0\nChile,CHL,2006,1345037.0\nChile,CHL,2007,1346031.0\nChile,CHL,2008,1399848.0\nChile,CHL,2009,1351299.0\nChile,CHL,2010,1326708.0\nChile,CHL,2011,1395039.2\nChile,CHL,2012,1474759.0\nChile,CHL,2013,1454051.2\nChile,CHL,2014,1431259.8\nChile,CHL,2015,1482547.6\nChile,CHL,2016,1498623.2\nChile,CHL,2017,1418216.8\nChile,CHL,2018,1504889.4\nChile,CHL,2019,1534791.8\nChile,CHL,2020,1589030.5\nChile,CHL,2021,1576076.6\nChile,CHL,2022,1560324.9\nChile,CHL,2023,1552359.0\nChile,CHL,2024,1564175.1\n```\n\nIn which year shown does all meat - production (tonnes) reach its highest value for Chile?","response":"The series peaks in 2020, at 1,589,030.5 t. The lowest point shown is 1995, at 769,847 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nChile,CHL,1995,769847.0\nChile,CHL,1996,807058.0\nChile,CHL,1997,844022.0\nChile,CHL,1998,895675.0\nChile,CHL,1999,883217.0\nChile,CHL,2000,945521.0\nChile,CHL,2001,1024909.0\nChile,CHL,2002,1022210.0\nChile,CHL,2003,1040675.0\nChile,CHL,2004,1133944.0\nChile,CHL,2005,1193262.0\nChile,CHL,2006,1345037.0\nChile,CHL,2007,1346031.0\nChile,CHL,2008,1399848.0\nChile,CHL,2009,1351299.0\nChile,CHL,2010,1326708.0\nChile,CHL,2011,1395039.2\nChile,CHL,2012,1474759.0\nChile,CHL,2013,1454051.2\nChile,CHL,2014,1431259.8\nChile,CHL,2015,1482547.6\nChile,CHL,2016,1498623.2\nChile,CHL,2017,1418216.8\nChile,CHL,2018,1504889.4\nChile,CHL,2019,1534791.8\nChile,CHL,2020,1589030.5\nChile,CHL,2021,1576076.6\nChile,CHL,2022,1560324.9\nChile,CHL,2023,1552359.0\nChile,CHL,2024,1564175.1\n```\n\nHow much did all meat - production (tonnes) change for Chile between 1995 and 2024?","response":"It moved from 769,847 t in 1995 to 1,564,175.1 t in 2024, a change of 794,328.1 t (+103.18%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nChile,CHL,1995,769847.0\nChile,CHL,1996,807058.0\nChile,CHL,1997,844022.0\nChile,CHL,1998,895675.0\nChile,CHL,1999,883217.0\nChile,CHL,2000,945521.0\nChile,CHL,2001,1024909.0\nChile,CHL,2002,1022210.0\nChile,CHL,2003,1040675.0\nChile,CHL,2004,1133944.0\nChile,CHL,2005,1193262.0\nChile,CHL,2006,1345037.0\nChile,CHL,2007,1346031.0\nChile,CHL,2008,1399848.0\nChile,CHL,2009,1351299.0\nChile,CHL,2010,1326708.0\nChile,CHL,2011,1395039.2\nChile,CHL,2012,1474759.0\nChile,CHL,2013,1454051.2\nChile,CHL,2014,1431259.8\nChile,CHL,2015,1482547.6\nChile,CHL,2016,1498623.2\nChile,CHL,2017,1418216.8\nChile,CHL,2018,1504889.4\nChile,CHL,2019,1534791.8\nChile,CHL,2020,1589030.5\nChile,CHL,2021,1576076.6\nChile,CHL,2022,1560324.9\nChile,CHL,2023,1552359.0\nChile,CHL,2024,1564175.1\n```\n\nWas all meat - production (tonnes) in Chile higher in 2007 or 2015?","response":"Higher in 2015. The chart gives 1,346,031 t for 2007 and 1,482,547.6 t for 2015, a difference of 136,516.6 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nChile,CHL,1995,769847.0\nChile,CHL,1996,807058.0\nChile,CHL,1997,844022.0\nChile,CHL,1998,895675.0\nChile,CHL,1999,883217.0\nChile,CHL,2000,945521.0\nChile,CHL,2001,1024909.0\nChile,CHL,2002,1022210.0\nChile,CHL,2003,1040675.0\nChile,CHL,2004,1133944.0\nChile,CHL,2005,1193262.0\nChile,CHL,2006,1345037.0\nChile,CHL,2007,1346031.0\nChile,CHL,2008,1399848.0\nChile,CHL,2009,1351299.0\nChile,CHL,2010,1326708.0\nChile,CHL,2011,1395039.2\nChile,CHL,2012,1474759.0\nChile,CHL,2013,1454051.2\nChile,CHL,2014,1431259.8\nChile,CHL,2015,1482547.6\nChile,CHL,2016,1498623.2\nChile,CHL,2017,1418216.8\nChile,CHL,2018,1504889.4\nChile,CHL,2019,1534791.8\nChile,CHL,2020,1589030.5\nChile,CHL,2021,1576076.6\nChile,CHL,2022,1560324.9\nChile,CHL,2023,1552359.0\nChile,CHL,2024,1564175.1\n```\n\nAccording to this chart, what was all meat - production (tonnes) in Chile in 1998?","response":"Reading the plotted point for 1998, all meat - production (tonnes) in Chile was 895,675 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nChile,CHL,1995,769847.0\nChile,CHL,1996,807058.0\nChile,CHL,1997,844022.0\nChile,CHL,1998,895675.0\nChile,CHL,1999,883217.0\nChile,CHL,2000,945521.0\nChile,CHL,2001,1024909.0\nChile,CHL,2002,1022210.0\nChile,CHL,2003,1040675.0\nChile,CHL,2004,1133944.0\nChile,CHL,2005,1193262.0\nChile,CHL,2006,1345037.0\nChile,CHL,2007,1346031.0\nChile,CHL,2008,1399848.0\nChile,CHL,2009,1351299.0\nChile,CHL,2010,1326708.0\nChile,CHL,2011,1395039.2\nChile,CHL,2012,1474759.0\nChile,CHL,2013,1454051.2\nChile,CHL,2014,1431259.8\nChile,CHL,2015,1482547.6\nChile,CHL,2016,1498623.2\nChile,CHL,2017,1418216.8\nChile,CHL,2018,1504889.4\nChile,CHL,2019,1534791.8\nChile,CHL,2020,1589030.5\nChile,CHL,2021,1576076.6\nChile,CHL,2022,1560324.9\nChile,CHL,2023,1552359.0\nChile,CHL,2024,1564175.1\n```\n\nIn which year shown does all meat - production (tonnes) reach its highest value for Chile?","response":"The series peaks in 2020, at 1,589,030.5 t. The lowest point shown is 1995, at 769,847 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nChile,CHL,1995,769847.0\nChile,CHL,1996,807058.0\nChile,CHL,1997,844022.0\nChile,CHL,1998,895675.0\nChile,CHL,1999,883217.0\nChile,CHL,2000,945521.0\nChile,CHL,2001,1024909.0\nChile,CHL,2002,1022210.0\nChile,CHL,2003,1040675.0\nChile,CHL,2004,1133944.0\nChile,CHL,2005,1193262.0\nChile,CHL,2006,1345037.0\nChile,CHL,2007,1346031.0\nChile,CHL,2008,1399848.0\nChile,CHL,2009,1351299.0\nChile,CHL,2010,1326708.0\nChile,CHL,2011,1395039.2\nChile,CHL,2012,1474759.0\nChile,CHL,2013,1454051.2\nChile,CHL,2014,1431259.8\nChile,CHL,2015,1482547.6\nChile,CHL,2016,1498623.2\nChile,CHL,2017,1418216.8\nChile,CHL,2018,1504889.4\nChile,CHL,2019,1534791.8\nChile,CHL,2020,1589030.5\nChile,CHL,2021,1576076.6\nChile,CHL,2022,1560324.9\nChile,CHL,2023,1552359.0\nChile,CHL,2024,1564175.1\n```\n\nHow much did all meat - production (tonnes) change for Chile between 1995 and 2024?","response":"It moved from 769,847 t in 1995 to 1,564,175.1 t in 2024, a change of 794,328.1 t (+103.18%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nChile,CHL,1995,769847.0\nChile,CHL,1996,807058.0\nChile,CHL,1997,844022.0\nChile,CHL,1998,895675.0\nChile,CHL,1999,883217.0\nChile,CHL,2000,945521.0\nChile,CHL,2001,1024909.0\nChile,CHL,2002,1022210.0\nChile,CHL,2003,1040675.0\nChile,CHL,2004,1133944.0\nChile,CHL,2005,1193262.0\nChile,CHL,2006,1345037.0\nChile,CHL,2007,1346031.0\nChile,CHL,2008,1399848.0\nChile,CHL,2009,1351299.0\nChile,CHL,2010,1326708.0\nChile,CHL,2011,1395039.2\nChile,CHL,2012,1474759.0\nChile,CHL,2013,1454051.2\nChile,CHL,2014,1431259.8\nChile,CHL,2015,1482547.6\nChile,CHL,2016,1498623.2\nChile,CHL,2017,1418216.8\nChile,CHL,2018,1504889.4\nChile,CHL,2019,1534791.8\nChile,CHL,2020,1589030.5\nChile,CHL,2021,1576076.6\nChile,CHL,2022,1560324.9\nChile,CHL,2023,1552359.0\nChile,CHL,2024,1564175.1\n```\n\nWas all meat - production (tonnes) in Chile higher in 2007 or 2015?","response":"Higher in 2015. The chart gives 1,346,031 t for 2007 and 1,482,547.6 t for 2015, a difference of 136,516.6 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__truncated_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nChile,CHL,1995,769847.0\nChile,CHL,1996,807058.0\nChile,CHL,1997,844022.0\nChile,CHL,1998,895675.0\nChile,CHL,1999,883217.0\nChile,CHL,2000,945521.0\nChile,CHL,2001,1024909.0\nChile,CHL,2002,1022210.0\nChile,CHL,2003,1040675.0\nChile,CHL,2004,1133944.0\nChile,CHL,2005,1193262.0\nChile,CHL,2006,1345037.0\nChile,CHL,2007,1346031.0\nChile,CHL,2008,1399848.0\nChile,CHL,2009,1351299.0\nChile,CHL,2010,1326708.0\nChile,CHL,2011,1395039.2\nChile,CHL,2012,1474759.0\nChile,CHL,2013,1454051.2\nChile,CHL,2014,1431259.8\nChile,CHL,2015,1482547.6\nChile,CHL,2016,1498623.2\nChile,CHL,2017,1418216.8\nChile,CHL,2018,1504889.4\nChile,CHL,2019,1534791.8\nChile,CHL,2020,1589030.5\nChile,CHL,2021,1576076.6\nChile,CHL,2022,1560324.9\nChile,CHL,2023,1552359.0\nChile,CHL,2024,1564175.1\n```\n\nThis chart appears to show all meat - production (tonnes) in Chile rising steeply. How large is the increase actually?","response":"The plotted values run from 769,847 t to 1,564,175.1 t, so the actual change is +103.18%. The steepness is partly a property of the axis rather than the data: the y-axis begins at 753463.33 instead of zero, which magnifies the visual change by roughly 2.01x against a zero-based scale. The rise is real, but visually smaller than the chart implies.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__truncated_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"truncated_y_axis","misleading_render":true,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nChile,CHL,1995,769847.0\nChile,CHL,1996,807058.0\nChile,CHL,1997,844022.0\nChile,CHL,1998,895675.0\nChile,CHL,1999,883217.0\nChile,CHL,2000,945521.0\nChile,CHL,2001,1024909.0\nChile,CHL,2002,1022210.0\nChile,CHL,2003,1040675.0\nChile,CHL,2004,1133944.0\nChile,CHL,2005,1193262.0\nChile,CHL,2006,1345037.0\nChile,CHL,2007,1346031.0\nChile,CHL,2008,1399848.0\nChile,CHL,2009,1351299.0\nChile,CHL,2010,1326708.0\nChile,CHL,2011,1395039.2\nChile,CHL,2012,1474759.0\nChile,CHL,2013,1454051.2\nChile,CHL,2014,1431259.8\nChile,CHL,2015,1482547.6\nChile,CHL,2016,1498623.2\nChile,CHL,2017,1418216.8\nChile,CHL,2018,1504889.4\nChile,CHL,2019,1534791.8\nChile,CHL,2020,1589030.5\nChile,CHL,2021,1576076.6\nChile,CHL,2022,1560324.9\nChile,CHL,2023,1552359.0\nChile,CHL,2024,1564175.1\n```\n\nBased on this chart, is all meat - production (tonnes) in Chile rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 769,847 t to 1,564,175.1 t, a change of +103.18%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nChile,CHL,1995,769847.0\nChile,CHL,1996,807058.0\nChile,CHL,1997,844022.0\nChile,CHL,1998,895675.0\nChile,CHL,1999,883217.0\nChile,CHL,2000,945521.0\nChile,CHL,2001,1024909.0\nChile,CHL,2002,1022210.0\nChile,CHL,2003,1040675.0\nChile,CHL,2004,1133944.0\nChile,CHL,2005,1193262.0\nChile,CHL,2006,1345037.0\nChile,CHL,2007,1346031.0\nChile,CHL,2008,1399848.0\nChile,CHL,2009,1351299.0\nChile,CHL,2010,1326708.0\nChile,CHL,2011,1395039.2\nChile,CHL,2012,1474759.0\nChile,CHL,2013,1454051.2\nChile,CHL,2014,1431259.8\nChile,CHL,2015,1482547.6\nChile,CHL,2016,1498623.2\nChile,CHL,2017,1418216.8\nChile,CHL,2018,1504889.4\nChile,CHL,2019,1534791.8\nChile,CHL,2020,1589030.5\nChile,CHL,2021,1576076.6\nChile,CHL,2022,1560324.9\nChile,CHL,2023,1552359.0\nChile,CHL,2024,1564175.1\n```\n\nHow does Chile compare with Nigeria on this measure?","response":"This chart covers Chile only, so Nigeria is not plotted and I cannot compare them from it. The chart does support statements about Chile on its own: the series runs from 769,847 t in 1995 to 1,564,175.1 t in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Chile__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEgypt,EGY,1995,1129312.5\nEgypt,EGY,1996,1123009.0\nEgypt,EGY,1997,1245121.0\nEgypt,EGY,1998,1265096.0\nEgypt,EGY,1999,1343651.0\nEgypt,EGY,2000,1383645.1\nEgypt,EGY,2001,1400629.0\nEgypt,EGY,2002,1644192.4\nEgypt,EGY,2003,1569141.5\nEgypt,EGY,2004,1542944.4\nEgypt,EGY,2005,1593977.8\nEgypt,EGY,2006,1664481.8\nEgypt,EGY,2007,1795103.1\nEgypt,EGY,2008,1762101.0\nEgypt,EGY,2009,1823900.0\nEgypt,EGY,2010,1908100.4\nEgypt,EGY,2011,1956577.1\nEgypt,EGY,2012,1993502.8\nEgypt,EGY,2013,2113456.5\nEgypt,EGY,2014,2185616.0\nEgypt,EGY,2015,2220836.5\nEgypt,EGY,2016,2182324.8\nEgypt,EGY,2017,2383436.2\nEgypt,EGY,2018,2400645.0\nEgypt,EGY,2019,2440648.2\nEgypt,EGY,2020,2887187.2\nEgypt,EGY,2021,3324776.2\nEgypt,EGY,2022,2983794.2\nEgypt,EGY,2023,2981176.0\nEgypt,EGY,2024,3382565.0\n```\n\nAccording to this chart, what was all meat - production (tonnes) in Egypt in 1998?","response":"Reading the plotted point for 1998, all meat - production (tonnes) in Egypt was 1,265,096 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEgypt,EGY,1995,1129312.5\nEgypt,EGY,1996,1123009.0\nEgypt,EGY,1997,1245121.0\nEgypt,EGY,1998,1265096.0\nEgypt,EGY,1999,1343651.0\nEgypt,EGY,2000,1383645.1\nEgypt,EGY,2001,1400629.0\nEgypt,EGY,2002,1644192.4\nEgypt,EGY,2003,1569141.5\nEgypt,EGY,2004,1542944.4\nEgypt,EGY,2005,1593977.8\nEgypt,EGY,2006,1664481.8\nEgypt,EGY,2007,1795103.1\nEgypt,EGY,2008,1762101.0\nEgypt,EGY,2009,1823900.0\nEgypt,EGY,2010,1908100.4\nEgypt,EGY,2011,1956577.1\nEgypt,EGY,2012,1993502.8\nEgypt,EGY,2013,2113456.5\nEgypt,EGY,2014,2185616.0\nEgypt,EGY,2015,2220836.5\nEgypt,EGY,2016,2182324.8\nEgypt,EGY,2017,2383436.2\nEgypt,EGY,2018,2400645.0\nEgypt,EGY,2019,2440648.2\nEgypt,EGY,2020,2887187.2\nEgypt,EGY,2021,3324776.2\nEgypt,EGY,2022,2983794.2\nEgypt,EGY,2023,2981176.0\nEgypt,EGY,2024,3382565.0\n```\n\nIn which year shown does all meat - production (tonnes) reach its highest value for Egypt?","response":"The series peaks in 2024, at 3,382,565 t. The lowest point shown is 1996, at 1,123,009 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEgypt,EGY,1995,1129312.5\nEgypt,EGY,1996,1123009.0\nEgypt,EGY,1997,1245121.0\nEgypt,EGY,1998,1265096.0\nEgypt,EGY,1999,1343651.0\nEgypt,EGY,2000,1383645.1\nEgypt,EGY,2001,1400629.0\nEgypt,EGY,2002,1644192.4\nEgypt,EGY,2003,1569141.5\nEgypt,EGY,2004,1542944.4\nEgypt,EGY,2005,1593977.8\nEgypt,EGY,2006,1664481.8\nEgypt,EGY,2007,1795103.1\nEgypt,EGY,2008,1762101.0\nEgypt,EGY,2009,1823900.0\nEgypt,EGY,2010,1908100.4\nEgypt,EGY,2011,1956577.1\nEgypt,EGY,2012,1993502.8\nEgypt,EGY,2013,2113456.5\nEgypt,EGY,2014,2185616.0\nEgypt,EGY,2015,2220836.5\nEgypt,EGY,2016,2182324.8\nEgypt,EGY,2017,2383436.2\nEgypt,EGY,2018,2400645.0\nEgypt,EGY,2019,2440648.2\nEgypt,EGY,2020,2887187.2\nEgypt,EGY,2021,3324776.2\nEgypt,EGY,2022,2983794.2\nEgypt,EGY,2023,2981176.0\nEgypt,EGY,2024,3382565.0\n```\n\nHow much did all meat - production (tonnes) change for Egypt between 1995 and 2024?","response":"It moved from 1,129,312.5 t in 1995 to 3,382,565 t in 2024, a change of 2,253,252.5 t (+199.52%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEgypt,EGY,1995,1129312.5\nEgypt,EGY,1996,1123009.0\nEgypt,EGY,1997,1245121.0\nEgypt,EGY,1998,1265096.0\nEgypt,EGY,1999,1343651.0\nEgypt,EGY,2000,1383645.1\nEgypt,EGY,2001,1400629.0\nEgypt,EGY,2002,1644192.4\nEgypt,EGY,2003,1569141.5\nEgypt,EGY,2004,1542944.4\nEgypt,EGY,2005,1593977.8\nEgypt,EGY,2006,1664481.8\nEgypt,EGY,2007,1795103.1\nEgypt,EGY,2008,1762101.0\nEgypt,EGY,2009,1823900.0\nEgypt,EGY,2010,1908100.4\nEgypt,EGY,2011,1956577.1\nEgypt,EGY,2012,1993502.8\nEgypt,EGY,2013,2113456.5\nEgypt,EGY,2014,2185616.0\nEgypt,EGY,2015,2220836.5\nEgypt,EGY,2016,2182324.8\nEgypt,EGY,2017,2383436.2\nEgypt,EGY,2018,2400645.0\nEgypt,EGY,2019,2440648.2\nEgypt,EGY,2020,2887187.2\nEgypt,EGY,2021,3324776.2\nEgypt,EGY,2022,2983794.2\nEgypt,EGY,2023,2981176.0\nEgypt,EGY,2024,3382565.0\n```\n\nWas all meat - production (tonnes) in Egypt higher in 2007 or 2018?","response":"Higher in 2018. The chart gives 1,795,103.1 t for 2007 and 2,400,645 t for 2018, a difference of 605,541.9 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEgypt,EGY,1995,1129312.5\nEgypt,EGY,1996,1123009.0\nEgypt,EGY,1997,1245121.0\nEgypt,EGY,1998,1265096.0\nEgypt,EGY,1999,1343651.0\nEgypt,EGY,2000,1383645.1\nEgypt,EGY,2001,1400629.0\nEgypt,EGY,2002,1644192.4\nEgypt,EGY,2003,1569141.5\nEgypt,EGY,2004,1542944.4\nEgypt,EGY,2005,1593977.8\nEgypt,EGY,2006,1664481.8\nEgypt,EGY,2007,1795103.1\nEgypt,EGY,2008,1762101.0\nEgypt,EGY,2009,1823900.0\nEgypt,EGY,2010,1908100.4\nEgypt,EGY,2011,1956577.1\nEgypt,EGY,2012,1993502.8\nEgypt,EGY,2013,2113456.5\nEgypt,EGY,2014,2185616.0\nEgypt,EGY,2015,2220836.5\nEgypt,EGY,2016,2182324.8\nEgypt,EGY,2017,2383436.2\nEgypt,EGY,2018,2400645.0\nEgypt,EGY,2019,2440648.2\nEgypt,EGY,2020,2887187.2\nEgypt,EGY,2021,3324776.2\nEgypt,EGY,2022,2983794.2\nEgypt,EGY,2023,2981176.0\nEgypt,EGY,2024,3382565.0\n```\n\nAccording to this chart, what was all meat - production (tonnes) in Egypt in 1998?","response":"Reading the plotted point for 1998, all meat - production (tonnes) in Egypt was 1,265,096 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEgypt,EGY,1995,1129312.5\nEgypt,EGY,1996,1123009.0\nEgypt,EGY,1997,1245121.0\nEgypt,EGY,1998,1265096.0\nEgypt,EGY,1999,1343651.0\nEgypt,EGY,2000,1383645.1\nEgypt,EGY,2001,1400629.0\nEgypt,EGY,2002,1644192.4\nEgypt,EGY,2003,1569141.5\nEgypt,EGY,2004,1542944.4\nEgypt,EGY,2005,1593977.8\nEgypt,EGY,2006,1664481.8\nEgypt,EGY,2007,1795103.1\nEgypt,EGY,2008,1762101.0\nEgypt,EGY,2009,1823900.0\nEgypt,EGY,2010,1908100.4\nEgypt,EGY,2011,1956577.1\nEgypt,EGY,2012,1993502.8\nEgypt,EGY,2013,2113456.5\nEgypt,EGY,2014,2185616.0\nEgypt,EGY,2015,2220836.5\nEgypt,EGY,2016,2182324.8\nEgypt,EGY,2017,2383436.2\nEgypt,EGY,2018,2400645.0\nEgypt,EGY,2019,2440648.2\nEgypt,EGY,2020,2887187.2\nEgypt,EGY,2021,3324776.2\nEgypt,EGY,2022,2983794.2\nEgypt,EGY,2023,2981176.0\nEgypt,EGY,2024,3382565.0\n```\n\nIn which year shown does all meat - production (tonnes) reach its highest value for Egypt?","response":"The series peaks in 2024, at 3,382,565 t. The lowest point shown is 1996, at 1,123,009 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEgypt,EGY,1995,1129312.5\nEgypt,EGY,1996,1123009.0\nEgypt,EGY,1997,1245121.0\nEgypt,EGY,1998,1265096.0\nEgypt,EGY,1999,1343651.0\nEgypt,EGY,2000,1383645.1\nEgypt,EGY,2001,1400629.0\nEgypt,EGY,2002,1644192.4\nEgypt,EGY,2003,1569141.5\nEgypt,EGY,2004,1542944.4\nEgypt,EGY,2005,1593977.8\nEgypt,EGY,2006,1664481.8\nEgypt,EGY,2007,1795103.1\nEgypt,EGY,2008,1762101.0\nEgypt,EGY,2009,1823900.0\nEgypt,EGY,2010,1908100.4\nEgypt,EGY,2011,1956577.1\nEgypt,EGY,2012,1993502.8\nEgypt,EGY,2013,2113456.5\nEgypt,EGY,2014,2185616.0\nEgypt,EGY,2015,2220836.5\nEgypt,EGY,2016,2182324.8\nEgypt,EGY,2017,2383436.2\nEgypt,EGY,2018,2400645.0\nEgypt,EGY,2019,2440648.2\nEgypt,EGY,2020,2887187.2\nEgypt,EGY,2021,3324776.2\nEgypt,EGY,2022,2983794.2\nEgypt,EGY,2023,2981176.0\nEgypt,EGY,2024,3382565.0\n```\n\nHow much did all meat - production (tonnes) change for Egypt between 1995 and 2024?","response":"It moved from 1,129,312.5 t in 1995 to 3,382,565 t in 2024, a change of 2,253,252.5 t (+199.52%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEgypt,EGY,1995,1129312.5\nEgypt,EGY,1996,1123009.0\nEgypt,EGY,1997,1245121.0\nEgypt,EGY,1998,1265096.0\nEgypt,EGY,1999,1343651.0\nEgypt,EGY,2000,1383645.1\nEgypt,EGY,2001,1400629.0\nEgypt,EGY,2002,1644192.4\nEgypt,EGY,2003,1569141.5\nEgypt,EGY,2004,1542944.4\nEgypt,EGY,2005,1593977.8\nEgypt,EGY,2006,1664481.8\nEgypt,EGY,2007,1795103.1\nEgypt,EGY,2008,1762101.0\nEgypt,EGY,2009,1823900.0\nEgypt,EGY,2010,1908100.4\nEgypt,EGY,2011,1956577.1\nEgypt,EGY,2012,1993502.8\nEgypt,EGY,2013,2113456.5\nEgypt,EGY,2014,2185616.0\nEgypt,EGY,2015,2220836.5\nEgypt,EGY,2016,2182324.8\nEgypt,EGY,2017,2383436.2\nEgypt,EGY,2018,2400645.0\nEgypt,EGY,2019,2440648.2\nEgypt,EGY,2020,2887187.2\nEgypt,EGY,2021,3324776.2\nEgypt,EGY,2022,2983794.2\nEgypt,EGY,2023,2981176.0\nEgypt,EGY,2024,3382565.0\n```\n\nWas all meat - production (tonnes) in Egypt higher in 2007 or 2018?","response":"Higher in 2018. The chart gives 1,795,103.1 t for 2007 and 2,400,645 t for 2018, a difference of 605,541.9 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEgypt,EGY,1995,1129312.5\nEgypt,EGY,1996,1123009.0\nEgypt,EGY,1997,1245121.0\nEgypt,EGY,1998,1265096.0\nEgypt,EGY,1999,1343651.0\nEgypt,EGY,2000,1383645.1\nEgypt,EGY,2001,1400629.0\nEgypt,EGY,2002,1644192.4\nEgypt,EGY,2003,1569141.5\nEgypt,EGY,2004,1542944.4\nEgypt,EGY,2005,1593977.8\nEgypt,EGY,2006,1664481.8\nEgypt,EGY,2007,1795103.1\nEgypt,EGY,2008,1762101.0\nEgypt,EGY,2009,1823900.0\nEgypt,EGY,2010,1908100.4\nEgypt,EGY,2011,1956577.1\nEgypt,EGY,2012,1993502.8\nEgypt,EGY,2013,2113456.5\nEgypt,EGY,2014,2185616.0\nEgypt,EGY,2015,2220836.5\nEgypt,EGY,2016,2182324.8\nEgypt,EGY,2017,2383436.2\nEgypt,EGY,2018,2400645.0\nEgypt,EGY,2019,2440648.2\nEgypt,EGY,2020,2887187.2\nEgypt,EGY,2021,3324776.2\nEgypt,EGY,2022,2983794.2\nEgypt,EGY,2023,2981176.0\nEgypt,EGY,2024,3382565.0\n```\n\nBased on this chart, is all meat - production (tonnes) in Egypt rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 1,129,312.5 t to 3,382,565 t, a change of +199.52%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEgypt,EGY,1995,1129312.5\nEgypt,EGY,1996,1123009.0\nEgypt,EGY,1997,1245121.0\nEgypt,EGY,1998,1265096.0\nEgypt,EGY,1999,1343651.0\nEgypt,EGY,2000,1383645.1\nEgypt,EGY,2001,1400629.0\nEgypt,EGY,2002,1644192.4\nEgypt,EGY,2003,1569141.5\nEgypt,EGY,2004,1542944.4\nEgypt,EGY,2005,1593977.8\nEgypt,EGY,2006,1664481.8\nEgypt,EGY,2007,1795103.1\nEgypt,EGY,2008,1762101.0\nEgypt,EGY,2009,1823900.0\nEgypt,EGY,2010,1908100.4\nEgypt,EGY,2011,1956577.1\nEgypt,EGY,2012,1993502.8\nEgypt,EGY,2013,2113456.5\nEgypt,EGY,2014,2185616.0\nEgypt,EGY,2015,2220836.5\nEgypt,EGY,2016,2182324.8\nEgypt,EGY,2017,2383436.2\nEgypt,EGY,2018,2400645.0\nEgypt,EGY,2019,2440648.2\nEgypt,EGY,2020,2887187.2\nEgypt,EGY,2021,3324776.2\nEgypt,EGY,2022,2983794.2\nEgypt,EGY,2023,2981176.0\nEgypt,EGY,2024,3382565.0\n```\n\nThis chart makes the change in all meat - production (tonnes) for Egypt look dramatic. Is it?","response":"The values change by +199.52%, from 1,129,312.5 t to 3,382,565 t. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEgypt,EGY,1995,1129312.5\nEgypt,EGY,1996,1123009.0\nEgypt,EGY,1997,1245121.0\nEgypt,EGY,1998,1265096.0\nEgypt,EGY,1999,1343651.0\nEgypt,EGY,2000,1383645.1\nEgypt,EGY,2001,1400629.0\nEgypt,EGY,2002,1644192.4\nEgypt,EGY,2003,1569141.5\nEgypt,EGY,2004,1542944.4\nEgypt,EGY,2005,1593977.8\nEgypt,EGY,2006,1664481.8\nEgypt,EGY,2007,1795103.1\nEgypt,EGY,2008,1762101.0\nEgypt,EGY,2009,1823900.0\nEgypt,EGY,2010,1908100.4\nEgypt,EGY,2011,1956577.1\nEgypt,EGY,2012,1993502.8\nEgypt,EGY,2013,2113456.5\nEgypt,EGY,2014,2185616.0\nEgypt,EGY,2015,2220836.5\nEgypt,EGY,2016,2182324.8\nEgypt,EGY,2017,2383436.2\nEgypt,EGY,2018,2400645.0\nEgypt,EGY,2019,2440648.2\nEgypt,EGY,2020,2887187.2\nEgypt,EGY,2021,3324776.2\nEgypt,EGY,2022,2983794.2\nEgypt,EGY,2023,2981176.0\nEgypt,EGY,2024,3382565.0\n```\n\nHow does Egypt compare with Nigeria on this measure?","response":"This chart covers Egypt only, so Nigeria is not plotted and I cannot compare them from it. The chart does support statements about Egypt on its own: the series runs from 1,129,312.5 t in 1995 to 3,382,565 t in 2024.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Egypt__faithful.png","label":"unanswerable","question_type":"absent_entity","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nBangladesh,BGD,1995,385304.78\nBangladesh,BGD,1996,388749.75\nBangladesh,BGD,1997,415795.7\nBangladesh,BGD,1998,418001.53\nBangladesh,BGD,1999,435633.12\nBangladesh,BGD,2000,449266.8\nBangladesh,BGD,2001,459048.44\nBangladesh,BGD,2002,479698.12\nBangladesh,BGD,2003,487336.6\nBangladesh,BGD,2004,498224.38\nBangladesh,BGD,2005,514883.97\nBangladesh,BGD,2006,537844.6\nBangladesh,BGD,2007,577433.06\nBangladesh,BGD,2008,546854.56\nBangladesh,BGD,2009,565766.5\nBangladesh,BGD,2010,582435.25\nBangladesh,BGD,2011,603514.94\nBangladesh,BGD,2012,626168.3\nBangladesh,BGD,2013,632121.75\nBangladesh,BGD,2014,649590.4\nBangladesh,BGD,2015,655052.06\nBangladesh,BGD,2016,668709.7\nBangladesh,BGD,2017,681801.5\nBangladesh,BGD,2018,695805.2\nBangladesh,BGD,2019,706684.6\nBangladesh,BGD,2020,722616.8\nBangladesh,BGD,2021,736443.75\nBangladesh,BGD,2022,750946.1\nBangladesh,BGD,2023,765223.1\nBangladesh,BGD,2024,777844.2\n```\n\nAccording to this chart, what was all meat - production (tonnes) in Bangladesh in 2001?","response":"Reading the plotted point for 2001, all meat - production (tonnes) in Bangladesh was 459,048.44 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nBangladesh,BGD,1995,385304.78\nBangladesh,BGD,1996,388749.75\nBangladesh,BGD,1997,415795.7\nBangladesh,BGD,1998,418001.53\nBangladesh,BGD,1999,435633.12\nBangladesh,BGD,2000,449266.8\nBangladesh,BGD,2001,459048.44\nBangladesh,BGD,2002,479698.12\nBangladesh,BGD,2003,487336.6\nBangladesh,BGD,2004,498224.38\nBangladesh,BGD,2005,514883.97\nBangladesh,BGD,2006,537844.6\nBangladesh,BGD,2007,577433.06\nBangladesh,BGD,2008,546854.56\nBangladesh,BGD,2009,565766.5\nBangladesh,BGD,2010,582435.25\nBangladesh,BGD,2011,603514.94\nBangladesh,BGD,2012,626168.3\nBangladesh,BGD,2013,632121.75\nBangladesh,BGD,2014,649590.4\nBangladesh,BGD,2015,655052.06\nBangladesh,BGD,2016,668709.7\nBangladesh,BGD,2017,681801.5\nBangladesh,BGD,2018,695805.2\nBangladesh,BGD,2019,706684.6\nBangladesh,BGD,2020,722616.8\nBangladesh,BGD,2021,736443.75\nBangladesh,BGD,2022,750946.1\nBangladesh,BGD,2023,765223.1\nBangladesh,BGD,2024,777844.2\n```\n\nIn which year shown does all meat - production (tonnes) reach its highest value for Bangladesh?","response":"The series peaks in 2024, at 777,844.2 t. The lowest point shown is 1995, at 385,304.78 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nBangladesh,BGD,1995,385304.78\nBangladesh,BGD,1996,388749.75\nBangladesh,BGD,1997,415795.7\nBangladesh,BGD,1998,418001.53\nBangladesh,BGD,1999,435633.12\nBangladesh,BGD,2000,449266.8\nBangladesh,BGD,2001,459048.44\nBangladesh,BGD,2002,479698.12\nBangladesh,BGD,2003,487336.6\nBangladesh,BGD,2004,498224.38\nBangladesh,BGD,2005,514883.97\nBangladesh,BGD,2006,537844.6\nBangladesh,BGD,2007,577433.06\nBangladesh,BGD,2008,546854.56\nBangladesh,BGD,2009,565766.5\nBangladesh,BGD,2010,582435.25\nBangladesh,BGD,2011,603514.94\nBangladesh,BGD,2012,626168.3\nBangladesh,BGD,2013,632121.75\nBangladesh,BGD,2014,649590.4\nBangladesh,BGD,2015,655052.06\nBangladesh,BGD,2016,668709.7\nBangladesh,BGD,2017,681801.5\nBangladesh,BGD,2018,695805.2\nBangladesh,BGD,2019,706684.6\nBangladesh,BGD,2020,722616.8\nBangladesh,BGD,2021,736443.75\nBangladesh,BGD,2022,750946.1\nBangladesh,BGD,2023,765223.1\nBangladesh,BGD,2024,777844.2\n```\n\nHow much did all meat - production (tonnes) change for Bangladesh between 1995 and 2024?","response":"It moved from 385,304.78 t in 1995 to 777,844.2 t in 2024, a change of 392,539.42 t (+101.88%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nBangladesh,BGD,1995,385304.78\nBangladesh,BGD,1996,388749.75\nBangladesh,BGD,1997,415795.7\nBangladesh,BGD,1998,418001.53\nBangladesh,BGD,1999,435633.12\nBangladesh,BGD,2000,449266.8\nBangladesh,BGD,2001,459048.44\nBangladesh,BGD,2002,479698.12\nBangladesh,BGD,2003,487336.6\nBangladesh,BGD,2004,498224.38\nBangladesh,BGD,2005,514883.97\nBangladesh,BGD,2006,537844.6\nBangladesh,BGD,2007,577433.06\nBangladesh,BGD,2008,546854.56\nBangladesh,BGD,2009,565766.5\nBangladesh,BGD,2010,582435.25\nBangladesh,BGD,2011,603514.94\nBangladesh,BGD,2012,626168.3\nBangladesh,BGD,2013,632121.75\nBangladesh,BGD,2014,649590.4\nBangladesh,BGD,2015,655052.06\nBangladesh,BGD,2016,668709.7\nBangladesh,BGD,2017,681801.5\nBangladesh,BGD,2018,695805.2\nBangladesh,BGD,2019,706684.6\nBangladesh,BGD,2020,722616.8\nBangladesh,BGD,2021,736443.75\nBangladesh,BGD,2022,750946.1\nBangladesh,BGD,2023,765223.1\nBangladesh,BGD,2024,777844.2\n```\n\nWas all meat - production (tonnes) in Bangladesh higher in 2003 or 2019?","response":"Higher in 2019. The chart gives 487,336.6 t for 2003 and 706,684.6 t for 2019, a difference of 219,348 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nBangladesh,BGD,1995,385304.78\nBangladesh,BGD,1996,388749.75\nBangladesh,BGD,1997,415795.7\nBangladesh,BGD,1998,418001.53\nBangladesh,BGD,1999,435633.12\nBangladesh,BGD,2000,449266.8\nBangladesh,BGD,2001,459048.44\nBangladesh,BGD,2002,479698.12\nBangladesh,BGD,2003,487336.6\nBangladesh,BGD,2004,498224.38\nBangladesh,BGD,2005,514883.97\nBangladesh,BGD,2006,537844.6\nBangladesh,BGD,2007,577433.06\nBangladesh,BGD,2008,546854.56\nBangladesh,BGD,2009,565766.5\nBangladesh,BGD,2010,582435.25\nBangladesh,BGD,2011,603514.94\nBangladesh,BGD,2012,626168.3\nBangladesh,BGD,2013,632121.75\nBangladesh,BGD,2014,649590.4\nBangladesh,BGD,2015,655052.06\nBangladesh,BGD,2016,668709.7\nBangladesh,BGD,2017,681801.5\nBangladesh,BGD,2018,695805.2\nBangladesh,BGD,2019,706684.6\nBangladesh,BGD,2020,722616.8\nBangladesh,BGD,2021,736443.75\nBangladesh,BGD,2022,750946.1\nBangladesh,BGD,2023,765223.1\nBangladesh,BGD,2024,777844.2\n```\n\nAccording to this chart, what was all meat - production (tonnes) in Bangladesh in 2001?","response":"Reading the plotted point for 2001, all meat - production (tonnes) in Bangladesh was 459,048.44 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nBangladesh,BGD,1995,385304.78\nBangladesh,BGD,1996,388749.75\nBangladesh,BGD,1997,415795.7\nBangladesh,BGD,1998,418001.53\nBangladesh,BGD,1999,435633.12\nBangladesh,BGD,2000,449266.8\nBangladesh,BGD,2001,459048.44\nBangladesh,BGD,2002,479698.12\nBangladesh,BGD,2003,487336.6\nBangladesh,BGD,2004,498224.38\nBangladesh,BGD,2005,514883.97\nBangladesh,BGD,2006,537844.6\nBangladesh,BGD,2007,577433.06\nBangladesh,BGD,2008,546854.56\nBangladesh,BGD,2009,565766.5\nBangladesh,BGD,2010,582435.25\nBangladesh,BGD,2011,603514.94\nBangladesh,BGD,2012,626168.3\nBangladesh,BGD,2013,632121.75\nBangladesh,BGD,2014,649590.4\nBangladesh,BGD,2015,655052.06\nBangladesh,BGD,2016,668709.7\nBangladesh,BGD,2017,681801.5\nBangladesh,BGD,2018,695805.2\nBangladesh,BGD,2019,706684.6\nBangladesh,BGD,2020,722616.8\nBangladesh,BGD,2021,736443.75\nBangladesh,BGD,2022,750946.1\nBangladesh,BGD,2023,765223.1\nBangladesh,BGD,2024,777844.2\n```\n\nIn which year shown does all meat - production (tonnes) reach its highest value for Bangladesh?","response":"The series peaks in 2024, at 777,844.2 t. The lowest point shown is 1995, at 385,304.78 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nBangladesh,BGD,1995,385304.78\nBangladesh,BGD,1996,388749.75\nBangladesh,BGD,1997,415795.7\nBangladesh,BGD,1998,418001.53\nBangladesh,BGD,1999,435633.12\nBangladesh,BGD,2000,449266.8\nBangladesh,BGD,2001,459048.44\nBangladesh,BGD,2002,479698.12\nBangladesh,BGD,2003,487336.6\nBangladesh,BGD,2004,498224.38\nBangladesh,BGD,2005,514883.97\nBangladesh,BGD,2006,537844.6\nBangladesh,BGD,2007,577433.06\nBangladesh,BGD,2008,546854.56\nBangladesh,BGD,2009,565766.5\nBangladesh,BGD,2010,582435.25\nBangladesh,BGD,2011,603514.94\nBangladesh,BGD,2012,626168.3\nBangladesh,BGD,2013,632121.75\nBangladesh,BGD,2014,649590.4\nBangladesh,BGD,2015,655052.06\nBangladesh,BGD,2016,668709.7\nBangladesh,BGD,2017,681801.5\nBangladesh,BGD,2018,695805.2\nBangladesh,BGD,2019,706684.6\nBangladesh,BGD,2020,722616.8\nBangladesh,BGD,2021,736443.75\nBangladesh,BGD,2022,750946.1\nBangladesh,BGD,2023,765223.1\nBangladesh,BGD,2024,777844.2\n```\n\nHow much did all meat - production (tonnes) change for Bangladesh between 1995 and 2024?","response":"It moved from 385,304.78 t in 1995 to 777,844.2 t in 2024, a change of 392,539.42 t (+101.88%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nBangladesh,BGD,1995,385304.78\nBangladesh,BGD,1996,388749.75\nBangladesh,BGD,1997,415795.7\nBangladesh,BGD,1998,418001.53\nBangladesh,BGD,1999,435633.12\nBangladesh,BGD,2000,449266.8\nBangladesh,BGD,2001,459048.44\nBangladesh,BGD,2002,479698.12\nBangladesh,BGD,2003,487336.6\nBangladesh,BGD,2004,498224.38\nBangladesh,BGD,2005,514883.97\nBangladesh,BGD,2006,537844.6\nBangladesh,BGD,2007,577433.06\nBangladesh,BGD,2008,546854.56\nBangladesh,BGD,2009,565766.5\nBangladesh,BGD,2010,582435.25\nBangladesh,BGD,2011,603514.94\nBangladesh,BGD,2012,626168.3\nBangladesh,BGD,2013,632121.75\nBangladesh,BGD,2014,649590.4\nBangladesh,BGD,2015,655052.06\nBangladesh,BGD,2016,668709.7\nBangladesh,BGD,2017,681801.5\nBangladesh,BGD,2018,695805.2\nBangladesh,BGD,2019,706684.6\nBangladesh,BGD,2020,722616.8\nBangladesh,BGD,2021,736443.75\nBangladesh,BGD,2022,750946.1\nBangladesh,BGD,2023,765223.1\nBangladesh,BGD,2024,777844.2\n```\n\nWas all meat - production (tonnes) in Bangladesh higher in 2003 or 2019?","response":"Higher in 2019. The chart gives 487,336.6 t for 2003 and 706,684.6 t for 2019, a difference of 219,348 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nBangladesh,BGD,1995,385304.78\nBangladesh,BGD,1996,388749.75\nBangladesh,BGD,1997,415795.7\nBangladesh,BGD,1998,418001.53\nBangladesh,BGD,1999,435633.12\nBangladesh,BGD,2000,449266.8\nBangladesh,BGD,2001,459048.44\nBangladesh,BGD,2002,479698.12\nBangladesh,BGD,2003,487336.6\nBangladesh,BGD,2004,498224.38\nBangladesh,BGD,2005,514883.97\nBangladesh,BGD,2006,537844.6\nBangladesh,BGD,2007,577433.06\nBangladesh,BGD,2008,546854.56\nBangladesh,BGD,2009,565766.5\nBangladesh,BGD,2010,582435.25\nBangladesh,BGD,2011,603514.94\nBangladesh,BGD,2012,626168.3\nBangladesh,BGD,2013,632121.75\nBangladesh,BGD,2014,649590.4\nBangladesh,BGD,2015,655052.06\nBangladesh,BGD,2016,668709.7\nBangladesh,BGD,2017,681801.5\nBangladesh,BGD,2018,695805.2\nBangladesh,BGD,2019,706684.6\nBangladesh,BGD,2020,722616.8\nBangladesh,BGD,2021,736443.75\nBangladesh,BGD,2022,750946.1\nBangladesh,BGD,2023,765223.1\nBangladesh,BGD,2024,777844.2\n```\n\nBased on this chart, is all meat - production (tonnes) in Bangladesh rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 385,304.78 t to 777,844.2 t, a change of +101.88%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__aspect_ratio_exaggeration.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nBangladesh,BGD,1995,385304.78\nBangladesh,BGD,1996,388749.75\nBangladesh,BGD,1997,415795.7\nBangladesh,BGD,1998,418001.53\nBangladesh,BGD,1999,435633.12\nBangladesh,BGD,2000,449266.8\nBangladesh,BGD,2001,459048.44\nBangladesh,BGD,2002,479698.12\nBangladesh,BGD,2003,487336.6\nBangladesh,BGD,2004,498224.38\nBangladesh,BGD,2005,514883.97\nBangladesh,BGD,2006,537844.6\nBangladesh,BGD,2007,577433.06\nBangladesh,BGD,2008,546854.56\nBangladesh,BGD,2009,565766.5\nBangladesh,BGD,2010,582435.25\nBangladesh,BGD,2011,603514.94\nBangladesh,BGD,2012,626168.3\nBangladesh,BGD,2013,632121.75\nBangladesh,BGD,2014,649590.4\nBangladesh,BGD,2015,655052.06\nBangladesh,BGD,2016,668709.7\nBangladesh,BGD,2017,681801.5\nBangladesh,BGD,2018,695805.2\nBangladesh,BGD,2019,706684.6\nBangladesh,BGD,2020,722616.8\nBangladesh,BGD,2021,736443.75\nBangladesh,BGD,2022,750946.1\nBangladesh,BGD,2023,765223.1\nBangladesh,BGD,2024,777844.2\n```\n\nThis chart makes the change in all meat - production (tonnes) for Bangladesh look dramatic. Is it?","response":"The values change by +101.88%, from 385,304.78 t to 777,844.2 t. The drama comes from the plot's proportions: drawn narrow, every slope steepens, though no value has been altered. On standard proportions the same series looks gradual.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__aspect_ratio_exaggeration.png","label":"contradicted","question_type":"visual_claim_check","distortion":"aspect_ratio_exaggeration","misleading_render":true,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nBangladesh,BGD,1995,385304.78\nBangladesh,BGD,1996,388749.75\nBangladesh,BGD,1997,415795.7\nBangladesh,BGD,1998,418001.53\nBangladesh,BGD,1999,435633.12\nBangladesh,BGD,2000,449266.8\nBangladesh,BGD,2001,459048.44\nBangladesh,BGD,2002,479698.12\nBangladesh,BGD,2003,487336.6\nBangladesh,BGD,2004,498224.38\nBangladesh,BGD,2005,514883.97\nBangladesh,BGD,2006,537844.6\nBangladesh,BGD,2007,577433.06\nBangladesh,BGD,2008,546854.56\nBangladesh,BGD,2009,565766.5\nBangladesh,BGD,2010,582435.25\nBangladesh,BGD,2011,603514.94\nBangladesh,BGD,2012,626168.3\nBangladesh,BGD,2013,632121.75\nBangladesh,BGD,2014,649590.4\nBangladesh,BGD,2015,655052.06\nBangladesh,BGD,2016,668709.7\nBangladesh,BGD,2017,681801.5\nBangladesh,BGD,2018,695805.2\nBangladesh,BGD,2019,706684.6\nBangladesh,BGD,2020,722616.8\nBangladesh,BGD,2021,736443.75\nBangladesh,BGD,2022,750946.1\nBangladesh,BGD,2023,765223.1\nBangladesh,BGD,2024,777844.2\n```\n\nWhat was all meat - production (tonnes) for Bangladesh in 1980?","response":"That year is outside this chart. The series runs 1995 to 2024, and 1980 falls before it begins, so there is no value to read. The earliest point available is 1995, at 385,304.78 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Bangladesh__faithful.png","label":"unanswerable","question_type":"out_of_range","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEthiopia,ETH,1995,414872.38\nEthiopia,ETH,1996,447997.16\nEthiopia,ETH,1997,450757.25\nEthiopia,ETH,1998,458876.88\nEthiopia,ETH,1999,472019.88\nEthiopia,ETH,2000,476463.7\nEthiopia,ETH,2001,506142.1\nEthiopia,ETH,2002,574574.8\nEthiopia,ETH,2003,566257.25\nEthiopia,ETH,2004,578240.0\nEthiopia,ETH,2005,601425.0\nEthiopia,ETH,2006,646615.0\nEthiopia,ETH,2007,659185.0\nEthiopia,ETH,2008,688254.0\nEthiopia,ETH,2009,663857.44\nEthiopia,ETH,2010,749178.6\nEthiopia,ETH,2011,731810.0\nEthiopia,ETH,2012,671055.0\nEthiopia,ETH,2013,678965.0\nEthiopia,ETH,2014,736131.5\nEthiopia,ETH,2015,758118.1\nEthiopia,ETH,2016,764264.44\nEthiopia,ETH,2017,774883.0\nEthiopia,ETH,2018,809671.7\nEthiopia,ETH,2019,876998.1\nEthiopia,ETH,2020,915842.25\nEthiopia,ETH,2021,893984.2\nEthiopia,ETH,2022,844884.75\nEthiopia,ETH,2023,855013.4\nEthiopia,ETH,2024,912483.94\n```\n\nAccording to this chart, what was all meat - production (tonnes) in Ethiopia in 1999?","response":"Reading the plotted point for 1999, all meat - production (tonnes) in Ethiopia was 472,019.88 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__faithful.png","label":"supported","question_type":"value_lookup","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEthiopia,ETH,1995,414872.38\nEthiopia,ETH,1996,447997.16\nEthiopia,ETH,1997,450757.25\nEthiopia,ETH,1998,458876.88\nEthiopia,ETH,1999,472019.88\nEthiopia,ETH,2000,476463.7\nEthiopia,ETH,2001,506142.1\nEthiopia,ETH,2002,574574.8\nEthiopia,ETH,2003,566257.25\nEthiopia,ETH,2004,578240.0\nEthiopia,ETH,2005,601425.0\nEthiopia,ETH,2006,646615.0\nEthiopia,ETH,2007,659185.0\nEthiopia,ETH,2008,688254.0\nEthiopia,ETH,2009,663857.44\nEthiopia,ETH,2010,749178.6\nEthiopia,ETH,2011,731810.0\nEthiopia,ETH,2012,671055.0\nEthiopia,ETH,2013,678965.0\nEthiopia,ETH,2014,736131.5\nEthiopia,ETH,2015,758118.1\nEthiopia,ETH,2016,764264.44\nEthiopia,ETH,2017,774883.0\nEthiopia,ETH,2018,809671.7\nEthiopia,ETH,2019,876998.1\nEthiopia,ETH,2020,915842.25\nEthiopia,ETH,2021,893984.2\nEthiopia,ETH,2022,844884.75\nEthiopia,ETH,2023,855013.4\nEthiopia,ETH,2024,912483.94\n```\n\nIn which year shown does all meat - production (tonnes) reach its highest value for Ethiopia?","response":"The series peaks in 2020, at 915,842.25 t. The lowest point shown is 1995, at 414,872.38 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__faithful.png","label":"supported","question_type":"extremum","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEthiopia,ETH,1995,414872.38\nEthiopia,ETH,1996,447997.16\nEthiopia,ETH,1997,450757.25\nEthiopia,ETH,1998,458876.88\nEthiopia,ETH,1999,472019.88\nEthiopia,ETH,2000,476463.7\nEthiopia,ETH,2001,506142.1\nEthiopia,ETH,2002,574574.8\nEthiopia,ETH,2003,566257.25\nEthiopia,ETH,2004,578240.0\nEthiopia,ETH,2005,601425.0\nEthiopia,ETH,2006,646615.0\nEthiopia,ETH,2007,659185.0\nEthiopia,ETH,2008,688254.0\nEthiopia,ETH,2009,663857.44\nEthiopia,ETH,2010,749178.6\nEthiopia,ETH,2011,731810.0\nEthiopia,ETH,2012,671055.0\nEthiopia,ETH,2013,678965.0\nEthiopia,ETH,2014,736131.5\nEthiopia,ETH,2015,758118.1\nEthiopia,ETH,2016,764264.44\nEthiopia,ETH,2017,774883.0\nEthiopia,ETH,2018,809671.7\nEthiopia,ETH,2019,876998.1\nEthiopia,ETH,2020,915842.25\nEthiopia,ETH,2021,893984.2\nEthiopia,ETH,2022,844884.75\nEthiopia,ETH,2023,855013.4\nEthiopia,ETH,2024,912483.94\n```\n\nHow much did all meat - production (tonnes) change for Ethiopia between 1995 and 2024?","response":"It moved from 414,872.38 t in 1995 to 912,483.94 t in 2024, a change of 497,611.56 t (+119.94%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__faithful.png","label":"supported","question_type":"magnitude_of_change","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEthiopia,ETH,1995,414872.38\nEthiopia,ETH,1996,447997.16\nEthiopia,ETH,1997,450757.25\nEthiopia,ETH,1998,458876.88\nEthiopia,ETH,1999,472019.88\nEthiopia,ETH,2000,476463.7\nEthiopia,ETH,2001,506142.1\nEthiopia,ETH,2002,574574.8\nEthiopia,ETH,2003,566257.25\nEthiopia,ETH,2004,578240.0\nEthiopia,ETH,2005,601425.0\nEthiopia,ETH,2006,646615.0\nEthiopia,ETH,2007,659185.0\nEthiopia,ETH,2008,688254.0\nEthiopia,ETH,2009,663857.44\nEthiopia,ETH,2010,749178.6\nEthiopia,ETH,2011,731810.0\nEthiopia,ETH,2012,671055.0\nEthiopia,ETH,2013,678965.0\nEthiopia,ETH,2014,736131.5\nEthiopia,ETH,2015,758118.1\nEthiopia,ETH,2016,764264.44\nEthiopia,ETH,2017,774883.0\nEthiopia,ETH,2018,809671.7\nEthiopia,ETH,2019,876998.1\nEthiopia,ETH,2020,915842.25\nEthiopia,ETH,2021,893984.2\nEthiopia,ETH,2022,844884.75\nEthiopia,ETH,2023,855013.4\nEthiopia,ETH,2024,912483.94\n```\n\nWas all meat - production (tonnes) in Ethiopia higher in 2004 or 2018?","response":"Higher in 2018. The chart gives 578,240 t for 2004 and 809,671.7 t for 2018, a difference of 231,431.7 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__faithful.png","label":"supported","question_type":"two_point_comparison","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEthiopia,ETH,1995,414872.38\nEthiopia,ETH,1996,447997.16\nEthiopia,ETH,1997,450757.25\nEthiopia,ETH,1998,458876.88\nEthiopia,ETH,1999,472019.88\nEthiopia,ETH,2000,476463.7\nEthiopia,ETH,2001,506142.1\nEthiopia,ETH,2002,574574.8\nEthiopia,ETH,2003,566257.25\nEthiopia,ETH,2004,578240.0\nEthiopia,ETH,2005,601425.0\nEthiopia,ETH,2006,646615.0\nEthiopia,ETH,2007,659185.0\nEthiopia,ETH,2008,688254.0\nEthiopia,ETH,2009,663857.44\nEthiopia,ETH,2010,749178.6\nEthiopia,ETH,2011,731810.0\nEthiopia,ETH,2012,671055.0\nEthiopia,ETH,2013,678965.0\nEthiopia,ETH,2014,736131.5\nEthiopia,ETH,2015,758118.1\nEthiopia,ETH,2016,764264.44\nEthiopia,ETH,2017,774883.0\nEthiopia,ETH,2018,809671.7\nEthiopia,ETH,2019,876998.1\nEthiopia,ETH,2020,915842.25\nEthiopia,ETH,2021,893984.2\nEthiopia,ETH,2022,844884.75\nEthiopia,ETH,2023,855013.4\nEthiopia,ETH,2024,912483.94\n```\n\nAccording to this chart, what was all meat - production (tonnes) in Ethiopia in 1999?","response":"Reading the plotted point for 1999, all meat - production (tonnes) in Ethiopia was 472,019.88 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"value_lookup","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEthiopia,ETH,1995,414872.38\nEthiopia,ETH,1996,447997.16\nEthiopia,ETH,1997,450757.25\nEthiopia,ETH,1998,458876.88\nEthiopia,ETH,1999,472019.88\nEthiopia,ETH,2000,476463.7\nEthiopia,ETH,2001,506142.1\nEthiopia,ETH,2002,574574.8\nEthiopia,ETH,2003,566257.25\nEthiopia,ETH,2004,578240.0\nEthiopia,ETH,2005,601425.0\nEthiopia,ETH,2006,646615.0\nEthiopia,ETH,2007,659185.0\nEthiopia,ETH,2008,688254.0\nEthiopia,ETH,2009,663857.44\nEthiopia,ETH,2010,749178.6\nEthiopia,ETH,2011,731810.0\nEthiopia,ETH,2012,671055.0\nEthiopia,ETH,2013,678965.0\nEthiopia,ETH,2014,736131.5\nEthiopia,ETH,2015,758118.1\nEthiopia,ETH,2016,764264.44\nEthiopia,ETH,2017,774883.0\nEthiopia,ETH,2018,809671.7\nEthiopia,ETH,2019,876998.1\nEthiopia,ETH,2020,915842.25\nEthiopia,ETH,2021,893984.2\nEthiopia,ETH,2022,844884.75\nEthiopia,ETH,2023,855013.4\nEthiopia,ETH,2024,912483.94\n```\n\nIn which year shown does all meat - production (tonnes) reach its highest value for Ethiopia?","response":"The series peaks in 2020, at 915,842.25 t. The lowest point shown is 1995, at 414,872.38 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"extremum","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEthiopia,ETH,1995,414872.38\nEthiopia,ETH,1996,447997.16\nEthiopia,ETH,1997,450757.25\nEthiopia,ETH,1998,458876.88\nEthiopia,ETH,1999,472019.88\nEthiopia,ETH,2000,476463.7\nEthiopia,ETH,2001,506142.1\nEthiopia,ETH,2002,574574.8\nEthiopia,ETH,2003,566257.25\nEthiopia,ETH,2004,578240.0\nEthiopia,ETH,2005,601425.0\nEthiopia,ETH,2006,646615.0\nEthiopia,ETH,2007,659185.0\nEthiopia,ETH,2008,688254.0\nEthiopia,ETH,2009,663857.44\nEthiopia,ETH,2010,749178.6\nEthiopia,ETH,2011,731810.0\nEthiopia,ETH,2012,671055.0\nEthiopia,ETH,2013,678965.0\nEthiopia,ETH,2014,736131.5\nEthiopia,ETH,2015,758118.1\nEthiopia,ETH,2016,764264.44\nEthiopia,ETH,2017,774883.0\nEthiopia,ETH,2018,809671.7\nEthiopia,ETH,2019,876998.1\nEthiopia,ETH,2020,915842.25\nEthiopia,ETH,2021,893984.2\nEthiopia,ETH,2022,844884.75\nEthiopia,ETH,2023,855013.4\nEthiopia,ETH,2024,912483.94\n```\n\nHow much did all meat - production (tonnes) change for Ethiopia between 1995 and 2024?","response":"It moved from 414,872.38 t in 1995 to 912,483.94 t in 2024, a change of 497,611.56 t (+119.94%).","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"magnitude_of_change","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__truncated_axis_honest.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEthiopia,ETH,1995,414872.38\nEthiopia,ETH,1996,447997.16\nEthiopia,ETH,1997,450757.25\nEthiopia,ETH,1998,458876.88\nEthiopia,ETH,1999,472019.88\nEthiopia,ETH,2000,476463.7\nEthiopia,ETH,2001,506142.1\nEthiopia,ETH,2002,574574.8\nEthiopia,ETH,2003,566257.25\nEthiopia,ETH,2004,578240.0\nEthiopia,ETH,2005,601425.0\nEthiopia,ETH,2006,646615.0\nEthiopia,ETH,2007,659185.0\nEthiopia,ETH,2008,688254.0\nEthiopia,ETH,2009,663857.44\nEthiopia,ETH,2010,749178.6\nEthiopia,ETH,2011,731810.0\nEthiopia,ETH,2012,671055.0\nEthiopia,ETH,2013,678965.0\nEthiopia,ETH,2014,736131.5\nEthiopia,ETH,2015,758118.1\nEthiopia,ETH,2016,764264.44\nEthiopia,ETH,2017,774883.0\nEthiopia,ETH,2018,809671.7\nEthiopia,ETH,2019,876998.1\nEthiopia,ETH,2020,915842.25\nEthiopia,ETH,2021,893984.2\nEthiopia,ETH,2022,844884.75\nEthiopia,ETH,2023,855013.4\nEthiopia,ETH,2024,912483.94\n```\n\nWas all meat - production (tonnes) in Ethiopia higher in 2004 or 2018?","response":"Higher in 2018. The chart gives 578,240 t for 2004 and 809,671.7 t for 2018, a difference of 231,431.7 t.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__truncated_axis_honest.png","label":"supported","question_type":"two_point_comparison","distortion":"truncated_axis_honest","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__inverted_y_axis.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEthiopia,ETH,1995,414872.38\nEthiopia,ETH,1996,447997.16\nEthiopia,ETH,1997,450757.25\nEthiopia,ETH,1998,458876.88\nEthiopia,ETH,1999,472019.88\nEthiopia,ETH,2000,476463.7\nEthiopia,ETH,2001,506142.1\nEthiopia,ETH,2002,574574.8\nEthiopia,ETH,2003,566257.25\nEthiopia,ETH,2004,578240.0\nEthiopia,ETH,2005,601425.0\nEthiopia,ETH,2006,646615.0\nEthiopia,ETH,2007,659185.0\nEthiopia,ETH,2008,688254.0\nEthiopia,ETH,2009,663857.44\nEthiopia,ETH,2010,749178.6\nEthiopia,ETH,2011,731810.0\nEthiopia,ETH,2012,671055.0\nEthiopia,ETH,2013,678965.0\nEthiopia,ETH,2014,736131.5\nEthiopia,ETH,2015,758118.1\nEthiopia,ETH,2016,764264.44\nEthiopia,ETH,2017,774883.0\nEthiopia,ETH,2018,809671.7\nEthiopia,ETH,2019,876998.1\nEthiopia,ETH,2020,915842.25\nEthiopia,ETH,2021,893984.2\nEthiopia,ETH,2022,844884.75\nEthiopia,ETH,2023,855013.4\nEthiopia,ETH,2024,912483.94\n```\n\nBased on this chart, is all meat - production (tonnes) in Ethiopia rising or falling?","response":"It is increasing. The chart reads as decreasing because the y-axis is inverted, with larger values placed lower. Taking the values as plotted, the series moves from 414,872.38 t to 912,483.94 t, a change of +119.94%.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__inverted_y_axis.png","label":"contradicted","question_type":"visual_claim_check","distortion":"inverted_y_axis","misleading_render":true,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}
{"system":"You read charts. Before stating any finding, extract the values the chart actually plots. If the chart's visual encoding overstates or reverses what the data shows, give the correct figure and name the mechanism. If the chart cannot answer the question, say what it does support instead.","instruction":"![chart](https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__faithful.png)\n\nUnderlying data:\n```csv\nEntity,Code,Year,All meat - Production (tonnes)\nEthiopia,ETH,1995,414872.38\nEthiopia,ETH,1996,447997.16\nEthiopia,ETH,1997,450757.25\nEthiopia,ETH,1998,458876.88\nEthiopia,ETH,1999,472019.88\nEthiopia,ETH,2000,476463.7\nEthiopia,ETH,2001,506142.1\nEthiopia,ETH,2002,574574.8\nEthiopia,ETH,2003,566257.25\nEthiopia,ETH,2004,578240.0\nEthiopia,ETH,2005,601425.0\nEthiopia,ETH,2006,646615.0\nEthiopia,ETH,2007,659185.0\nEthiopia,ETH,2008,688254.0\nEthiopia,ETH,2009,663857.44\nEthiopia,ETH,2010,749178.6\nEthiopia,ETH,2011,731810.0\nEthiopia,ETH,2012,671055.0\nEthiopia,ETH,2013,678965.0\nEthiopia,ETH,2014,736131.5\nEthiopia,ETH,2015,758118.1\nEthiopia,ETH,2016,764264.44\nEthiopia,ETH,2017,774883.0\nEthiopia,ETH,2018,809671.7\nEthiopia,ETH,2019,876998.1\nEthiopia,ETH,2020,915842.25\nEthiopia,ETH,2021,893984.2\nEthiopia,ETH,2022,844884.75\nEthiopia,ETH,2023,855013.4\nEthiopia,ETH,2024,912483.94\n```\n\nWhat caused the change in all meat - production (tonnes) for Ethiopia around 2010?","response":"The chart shows that the change happened: all meat - production (tonnes) moves to 749,178.6 t in 2010. It does not carry any information about why. This is a single measured series with no covariates, policy dates, or events attached, so any cause I named would be supplied from outside the chart rather than read from it.","image_url":"https:\/\/huggingface.co\/datasets\/rodriguescarson\/polychart-shown-is-not-supported\/resolve\/main\/images\/meat-production-tonnes__Ethiopia__faithful.png","label":"unanswerable","question_type":"causal_attribution","distortion":"faithful","misleading_render":false,"source_title":"Meat production","source_citation":"Food and Agriculture Organization of the United Nations (2025)","source_url":"https:\/\/ourworldindata.org\/grapher\/meat-production-tonnes?csvType=full&useColumnShortNames=false","rubric_version":1.1}