demo_testset.jsonl

{"id":"eea71f11-38b2-46ad-8e0b-2a198e62e16d","question":"How much will the global temperature rise by 2100?","reference_answer":"Temperature is projected to rise by 2.2\u00b0C to 3.5\u00b0C by 2100 according to the currently implemented policies.","reference_context":"Document 305: Policies implemented by the end of 2020 are  projected to result in \nhigher  global  GHG  emissions  in  2030  than  those  implied  by  NDCs, \nindicating an \u2018implementation gap94\u2019 (high confidence) (Table 2.2, \nFigure 2.5). Projected global emissions implied by policies implemented \nby  the  end  of  2020  are  57  (52\u201360)  GtCO2-eq  in  2030  (Table  2.2). This \npoints  to  an  implementation  gap  compared  with  the  NDCs  of  4  to \n7  GtCO2-eq  in  2030  (Table  2.2);  without  a  strengthening  of  policies, \nemissions are projected to rise, leading to a median global warming \nof  2.2\u00b0C  to  3.5\u00b0C  ( very  likely  range)  by  2100  (medium  confidence)\n(see Section 3.1.1).","conversation_history":[],"metadata":{"question_type":"simple","topic":"Climate Change Projection","seed_document_id":305}}
{"id":"5e5d127f-4a64-4ab5-9729-2b6c2e5203c8","question":"What is the range of years for achieving 100% net zero CO2 pathways according to the data?","reference_answer":"2050-2055 [2035-2070] and 2055-2060 [2045-2070]","reference_context":"Document 169: 84\nSection 3\nSection 1\nSection 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n2030 \n43 \n[34-60]\n41 \n[31-59]\n48 \n[35-61]\n23 \n[0-44]\n21 \n[1-42]\n27 \n[13-45]\n5 \n[0-14]\n10  \n[0-27]\n2040\n \n \n \n \n \n2050 \n84 \n[73-98]\n85 \n[72-100]\n84 \n[76-93]\n75 \n[62-91]\n64 \n[53-77]\n63 \n[52-76]\n68 \n[56-83]\n49  \n[35-65]\n29\n[11-48]\n5\n[-2 to 18]\nNet zero \nCO2  \n(% net zero \npathways) \n \n2050-2055 (100%) \n[2035-2070]\n2055-2060 \n(100%) \n[2045-2070]\n2070-2075 \n(93%) \n[2055-.]\n2070-2075 \n(91%) \n[2055-.]\n2065-2070 \n(97%) \n[2055-2090]\n2080-2085\n(86%)\n[2065-.]\nNet zero \nGHGs\n(5) \n(% net zero \npathways) \n \n2095-2100 \n(52%) \n[2050-.]\n2070-2075 \n(100%) \n[2050-2090]\n.-.\n(0%) \n[.-.]\n2070-2075 \n(87%) \n[2055-.]\n.-.\n(30%) \n[2075-.]\n.-. \n(24%) \n[2080-.]\n.-.\n(41%) \n[2075-.]\n.-.\n(31%) \n[2075-.\n\nDocument 170: ]\n2070-2075 \n(91%) \n[2055-.]\n2065-2070 \n(97%) \n[2055-2090]\n2080-2085\n(86%)\n[2065-.]\nNet zero \nGHGs\n(5) \n(% net zero \npathways) \n \n2095-2100 \n(52%) \n[2050-.]\n2070-2075 \n(100%) \n[2050-2090]\n.-.\n(0%) \n[.-.]\n2070-2075 \n(87%) \n[2055-.]\n.-.\n(30%) \n[2075-.]\n.-. \n(24%) \n[2080-.]\n.-.\n(41%) \n[2075-.]\n.-.\n(31%) \n[2075-.]\n \n2020 to \nnet zero \nCO2  \n510 \n[330-710]\n550 \n[340-760]\n460 \n[320-590]\n720 \n[530-930]\n890 \n[640-1160]\n860 \n[640-1180]\n910 \n[720-1150]\n1210\n[970-1490]\n1780\n[1400-2360]\n2020\u2013\n2100 \n320 \n[-210-570]\n160 \n[-220-620]\n360 \n[10-540]\n400 \n[-90-620]\n800 \n[510-1140]\n790 \n[480-1150]\n800 \n[560-1050]\n1160 \n[700-1490]\n \nat peak \nwarming\n \n1.6 \n1.6 \n1.6 \n1.7\n \n1.7 \n1.7 \n1.8 \n1.9\n2100\n \n1.3 \n1.2 \n1.4 \n1.4\n1.6 \n1.6 \n1.6 \n1.8\n \nLikelihood \nof peak \nglobal \nwarming \nstaying \nbelow (%) \no\n \n<1.5\u00b0C \n38 \n[33-58]\n38 \n[34-60]\n37 \n[33-56]\n24 \n[15-42]\n20 \n[13-41]\n21 \n[14-42]\n17 \n[12-35]\n11\n[7-22]\n<2.","conversation_history":[],"metadata":{"question_type":"simple","seed_document_id":169,"topic":"Climate Change Scenarios"}}
{"id":"b0dfac4f-64eb-4178-b241-2f96f3baa177","question":"What is the range of harmonised GHG emissions across the pathways for 2019 as assessed in the IPCC report?","reference_answer":"The 2019 range of harmonised GHG emissions across the pathways is 53\u201358 GtCO2-eq.","reference_context":"Document 21: Average annual GHG emissions growth between \n69 \nGHG emission metrics are used to express emissions of different GHGs in a common unit. Aggregated GHG emissions in this report are stated in CO2-equivalents (CO2-eq) using \nthe Global Warming Potential with a time horizon of 100 years (GWP100) with values based on the contribution of Working Group I to the AR6. The AR6 WGI and WGIII reports \ncontain updated emission metric values, evaluations of different metrics with regard to mitigation objectives, and assess new approaches to aggregating gases. The choice of \nmetric depends on the purpose of the analysis and all GHG emission metrics have limitations and uncertainties, given that they simplify the complexity of the physical climate \nsystem and its response to past and future GHG emissions. {WGI SPM D.1.8, WGI 7.6; WGIII SPM B.1, WGIII Cross-Chapter Box 2.2} (Annex I: Glossary)\n70 \nTerritorial emissions\n71 \nGHG emission levels are rounded to two signi\ufb01cant digits; as a consequence, small differences in sums due to rounding may occur. {WGIII SPM footnote 8}\n72 \nComprising a gross sink of -12.5 (\u00b13.2) GtCO2 yr-1 resulting from responses of all land to both anthropogenic environmental change and natural climate variability, and \nnet anthropogenic CO2-LULUCF emissions +5.9 (\u00b14.1) GtCO2 yr-1 based on book-keeping models. {WGIII SPM Footnote 14}\n73 \nThis estimate is based on consumption-based accounting, including both direct emissions from within urban areas, and indirect emissions from outside urban areas related to \nthe production of electricity, goods and services consumed in cities. These estimates include all CO2 and CH4 emission categories except for aviation and marine bunker fuels, \nland-use change, forestry and agriculture.\n\nDocument 20: Around 48% of the global population in 2019 lives in countries \nemitting on average more than 6 tCO2-eq per capita, 35% of the global \npopulation live in countries emitting more than 9 tCO2-eq per capita70 \n(excluding CO2-LULUCF) while another 41% live in countries emitting less \nthan 3 tCO2-eq per capita. A substantial share of the population in these \nlow-emitting countries lack access to modern energy services. (high con\ufb01dence)\n{WGIII SPM B.3, WGIII SPM B3.1, WGIII SPM B.3.2, WGIII SPM B.3.3}\nNet GHG emissions have increased since 2010 across all major \nsectors (high con\ufb01dence). In 2019, approximately 34% (20 GtCO2-eq) \nof net global GHG emissions came from the energy sector, 24% \n(14 GtCO2-eq) from industry, 22% (13 GtCO2-eq) from AFOLU, 15% \n(8.7 GtCO2-eq) from transport and 6% (3.3 GtCO2-eq) from buildings71 \n(high con\ufb01dence). Average annual GHG emissions growth between \n69 \nGHG emission metrics are used to express emissions of different GHGs in a common unit. Aggregated GHG emissions in this report are stated in CO2-equivalents (CO2-eq) using \nthe Global Warming Potential with a time horizon of 100 years (GWP100) with values based on the contribution of Working Group I to the AR6. The AR6 WGI and WGIII reports \ncontain updated emission metric values, evaluations of different metrics with regard to mitigation objectives, and assess new approaches to aggregating gases. The choice of \nmetric depends on the purpose of the analysis and all GHG emission metrics have limitations and uncertainties, given that they simplify the complexity of the physical climate \nsystem and its response to past and future GHG emissions.\n\nDocument 19: (high confidence) \n{WGIII SPM B1.1, WGIII SPM B.1.2, WGIII SPM B.1.3, WGIII Figure SPM.1, \nWGIII Figure SPM.2}\nRegional contributions to global human-caused GHG emissions \ncontinue to differ widely. Historical contributions of CO2 emissions \nvary substantially across regions in terms of total magnitude, but also \nin terms of contributions to CO2-FFI (1650 \u00b1 73 GtCO2-eq) and net \nCO2-LULUCF (760 \u00b1 220 GtCO2-eq) emissions (Figure 2.2). Variations \nin regional and national per capita emissions partly re\ufb02ect different \ndevelopment stages, but they also vary widely at similar income \nlevels. Average per capita net anthropogenic GHG emissions in 2019 \nranged from 2.6 tCO2-eq to 19 tCO2-eq across regions (Figure 2.2). \nLeast Developed Countries (LDCs) and Small Island Developing States (SIDS) \nhave much lower per capita emissions (1.7 tCO2-eq and 4.6 tCO2-eq, \nrespectively) than the global average (6.9 tCO2-eq), excluding \nCO2-LULUCF\n. Around 48% of the global population in 2019 lives in countries \nemitting on average more than 6 tCO2-eq per capita, 35% of the global \npopulation live in countries emitting more than 9 tCO2-eq per capita70 \n(excluding CO2-LULUCF) while another 41% live in countries emitting less \nthan 3 tCO2-eq per capita. A substantial share of the population in these \nlow-emitting countries lack access to modern energy services. (high con\ufb01dence)\n{WGIII SPM B.3, WGIII SPM B3.1, WGIII SPM B.3.2, WGIII SPM B.3.3}\nNet GHG emissions have increased since 2010 across all major \nsectors (high con\ufb01dence).\n\nDocument 82: Emissions projections for 2030 and gross differences in emissions are based on emissions of 52\u201356 GtCO2-eq yr\u20131 in 2019 as assumed in underlying model \nstudies97. (medium con\ufb01dence) {WGIII Table SPM.1} (Table 3.1, Cross-Section Box.2) \n95 \nAbatement here refers to human interventions that reduce the amount of GHGs that are released from fossil fuel infrastructure to the atmosphere. {WGIII SPM footnote 34}\n96 \nWGI provides carbon budgets that are in line with limiting global warming to temperature limits with different likelihoods, such as 50%, 67% or 83%. {WGI Table SPM.2}\n97 \nThe 2019 range of harmonised GHG emissions across the pathways [53\u201358 GtCO2-eq] is within the uncertainty ranges of 2019 emissions assessed in WGIII Chapter 2 [53\u201366 GtCO2-eq].\nEmission and implementation gaps associated with projected \nglobal emissions in 2030 under Nationally Determined \nContributions (NDCs) and implemented policies\nImplied by policies \nimplemented by the end \nof 2020 (GtCO2-eq\/yr)\nImplied by Nationally Determined Contributions \n(NDCs) announced prior to COP26\nUnconditional \nelements (GtCO2-eq\/yr)\nIncluding conditional \nelements (GtCO2-eq\/yr)\nMedian projected global emissions \n(min\u2013max)*\nImplementation gap between \nimplemented policies and NDCs \n(median)\nEmissions gap between NDCs and \npathways that limit warming to \n2\u00b0C (>67%) with immediate action \nEmissions gap between NDCs and \npathways that limit warming to \n1.5\u00b0C (>50%) with no or limited \novershoot with immediate action \n57 [52\u201360]\n\u2013\n\u2013\n\u2013\n4\n7\n53 [50\u201357]\n50 [47\u201355]\n10\u201316\n6\u201314\n19\u201326\n16\u201323\n*Emissions projections for 2030 and gross differences in emissions are based on emissions of 52\u201356 GtCO2-eq\/yr in 2019 as assumed in underlying model studies.","conversation_history":[],"metadata":{"question_type":"simple","seed_document_id":21,"topic":"Global GHG Emissions"}}
{"id":"5e23f933-57b1-4556-9ac0-e153ddd9ecdd","question":"What is the percentage contribution of each?","reference_answer":"In 2019, approximately 34% of net global GHG emissions came from the energy sector, 24% from industry, 22% from AFOLU (Agriculture, Forestry, and Other Land Use), 15% from transport, and 6% from buildings.","reference_context":"Document 18: 44\nSection 2\nSection 1\nSection 2\nAverage annual GHG emissions during 2010\u20132019 were higher \nthan in any previous decade, but the rate of growth between \n2010 and 2019 (1.3% yr-1) was lower than that between 2000 \nand 2009 (2.1% yr-1)69. Historical cumulative net CO2 emissions from \n1850 to 2019 were 2400 \u00b1240 GtCO2. Of these, more than half (58%) \noccurred between 1850 and 1989 [1400 \u00b1195 GtCO2], and about 42% \nbetween 1990 and 2019 [1000 \u00b190 GtCO2]. Global net anthropogenic \nGHG emissions have been estimated to be 59\u00b16.6 GtCO2-eq in 2019, \nabout 12% (6.5 GtCO2-eq) higher than in 2010 and 54% (21 GtCO2-eq) \nhigher than in 1990. By 2019, the largest growth in gross emissions \noccurred in CO2 from fossil fuels and industry (CO2-FFI) followed by \nCH4, whereas the highest relative growth occurred in fluorinated \ngases (F-gases), starting from low levels in 1990. (high confidence) \n{WGIII SPM B1.1, WGIII SPM B.1.2, WGIII SPM B.1.3, WGIII Figure SPM.1, \nWGIII Figure SPM.2}\nRegional contributions to global human-caused GHG emissions \ncontinue to differ widely. Historical contributions of CO2 emissions \nvary substantially across regions in terms of total magnitude, but also \nin terms of contributions to CO2-FFI (1650 \u00b1 73 GtCO2-eq) and net \nCO2-LULUCF (760 \u00b1 220 GtCO2-eq) emissions (Figure 2.2). Variations \nin regional and national per capita emissions partly re\ufb02ect different \ndevelopment stages, but they also vary widely at similar income \nlevels.\n\nDocument 19: (high confidence) \n{WGIII SPM B1.1, WGIII SPM B.1.2, WGIII SPM B.1.3, WGIII Figure SPM.1, \nWGIII Figure SPM.2}\nRegional contributions to global human-caused GHG emissions \ncontinue to differ widely. Historical contributions of CO2 emissions \nvary substantially across regions in terms of total magnitude, but also \nin terms of contributions to CO2-FFI (1650 \u00b1 73 GtCO2-eq) and net \nCO2-LULUCF (760 \u00b1 220 GtCO2-eq) emissions (Figure 2.2). Variations \nin regional and national per capita emissions partly re\ufb02ect different \ndevelopment stages, but they also vary widely at similar income \nlevels. Average per capita net anthropogenic GHG emissions in 2019 \nranged from 2.6 tCO2-eq to 19 tCO2-eq across regions (Figure 2.2). \nLeast Developed Countries (LDCs) and Small Island Developing States (SIDS) \nhave much lower per capita emissions (1.7 tCO2-eq and 4.6 tCO2-eq, \nrespectively) than the global average (6.9 tCO2-eq), excluding \nCO2-LULUCF\n. Around 48% of the global population in 2019 lives in countries \nemitting on average more than 6 tCO2-eq per capita, 35% of the global \npopulation live in countries emitting more than 9 tCO2-eq per capita70 \n(excluding CO2-LULUCF) while another 41% live in countries emitting less \nthan 3 tCO2-eq per capita. A substantial share of the population in these \nlow-emitting countries lack access to modern energy services. (high con\ufb01dence)\n{WGIII SPM B.3, WGIII SPM B3.1, WGIII SPM B.3.2, WGIII SPM B.3.3}\nNet GHG emissions have increased since 2010 across all major \nsectors (high con\ufb01dence).\n\nDocument 27: 46\nSection 2\nSection 1\nSection 2\nFigure 2.2: Regional GHG emissions, and the regional proportion of total cumulative production-based CO2 emissions from 1850 to 2019. Panel (a) shows the \nshare of historical cumulative net anthropogenic CO2 emissions per region from 1850 to 2019 in GtCO2. This includes CO2-FFI and CO2-LULUCF. Other GHG emissions are not included. \nCO2-LULUCF emissions are subject to high uncertainties, re\ufb02ected by a global uncertainty estimate of \u00b170% (90% con\ufb01dence interval). Panel (b) shows the distribution of regional \nGHG emissions in tonnes CO2-eq per capita by region in 2019. GHG emissions are categorised into: CO2-FFI; net CO2-LULUCF; and other GHG emissions (CH4, N2O, \ufb02uorinated gases, \nexpressed in CO2-eq using GWP100-AR6). The height of each rectangle shows per capita emissions, the width shows the population of the region, so that the area of the rectangles \nrefers to the total emissions for each region. Emissions from international aviation and shipping are not included. In the case of two regions, the area for CO2-LULUCF is below the \naxis, indicating net CO2 removals rather than emissions. Panel (c) shows global net anthropogenic GHG emissions by region (in GtCO2-eq yr\u20131 (GWP100-AR6)) for the time period \n1990\u20132019. Percentage values refer to the contribution of each region to total GHG emissions in each respective time period. The single-year peak of emissions in 1997 was due to \nhigher CO2-LULUCF emissions from a forest and peat \ufb01re event in South East Asia. Regions are as grouped in Annex II of WGIII.\n\nDocument 20: Around 48% of the global population in 2019 lives in countries \nemitting on average more than 6 tCO2-eq per capita, 35% of the global \npopulation live in countries emitting more than 9 tCO2-eq per capita70 \n(excluding CO2-LULUCF) while another 41% live in countries emitting less \nthan 3 tCO2-eq per capita. A substantial share of the population in these \nlow-emitting countries lack access to modern energy services. (high con\ufb01dence)\n{WGIII SPM B.3, WGIII SPM B3.1, WGIII SPM B.3.2, WGIII SPM B.3.3}\nNet GHG emissions have increased since 2010 across all major \nsectors (high con\ufb01dence). In 2019, approximately 34% (20 GtCO2-eq) \nof net global GHG emissions came from the energy sector, 24% \n(14 GtCO2-eq) from industry, 22% (13 GtCO2-eq) from AFOLU, 15% \n(8.7 GtCO2-eq) from transport and 6% (3.3 GtCO2-eq) from buildings71 \n(high con\ufb01dence). Average annual GHG emissions growth between \n69 \nGHG emission metrics are used to express emissions of different GHGs in a common unit. Aggregated GHG emissions in this report are stated in CO2-equivalents (CO2-eq) using \nthe Global Warming Potential with a time horizon of 100 years (GWP100) with values based on the contribution of Working Group I to the AR6. The AR6 WGI and WGIII reports \ncontain updated emission metric values, evaluations of different metrics with regard to mitigation objectives, and assess new approaches to aggregating gases. The choice of \nmetric depends on the purpose of the analysis and all GHG emission metrics have limitations and uncertainties, given that they simplify the complexity of the physical climate \nsystem and its response to past and future GHG emissions.","conversation_history":[{"role":"user","content":"I'm interested in the statistical breakdown of net global GHG emissions in 2019 by different sectors."},{"role":"assistant","content":"How can I help you with that?"}],"metadata":{"question_type":"conversational","seed_document_id":18,"topic":"Global GHG Emissions"}}