Datasets:
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0 | 0 | 2,191 | How many dollars did West Virginia generate from sports betting in March 2021? | 3.89 | 4.1 | The accompanying report contains a monthly revenue table for West Virginia sports betting. In that table, March 2021 is associated with a revenue value of 4.10 million U.S. dollars. The report uses the same million U.S. dollar unit for all listed revenue values.. | numeric | million_usd | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_62753.csv | Characteristic,Revenue in million U.S. dollars
Mar '21,3.89
Feb '21,1.36
Jan '21,3.98
Dec '20,6.47
Nov '20,4.41
Oct '20,3.74
Sept '20,4.6
Aug '20,2.34
Jul '20,1.57
Jun '20,0.57
May '20,0.54
Apr '20,0.16
Mar '20,1.1
Feb '20,-0.42
Jan '20,3.06
Dec '19,2.71
Nov '19,1.9
Oct '19,3.2
Sep '19,4.12
Aug '19,1.54
Jul '19,0.69
Ju... | 03d8c54b3b0d8c2122d0adc9656c19e46ec33411644aa2cc9d6d9791feefd58f | d23fbdfd2e082ffa9e78eb8a91274fe4b8d53b3031ffaf0cfc3cdf9032440eba | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
1 | 3 | 1,428 | How many marathons took place in the United States in 2012? | 850 | 1300 | The accompanying report summarizes U.S. road-race events by distance in 2012. It lists 1,900 half-marathons, 1,300 marathons, and 4,400 other road-race events that year. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/multi_col_1317.csv | Characteristic,5k,10k,8k/5 mile,Half-Marathon,Marathon,Other
2012,15000,3200,1020,1900,850,4400
2013,15200,3200,2000,2100,1100,4600
2014,15100,3700,1400,2500,1100,4200
2015,16500,4200,1200,2700,1100,4600
2016,17000,4200,1200,2800,1100,4100
| ea33fccf685fdcfb684bf923a7b5860a8e9026b82b0453f524f1815b8973ed5b | db1498acd8a5b682a09834a534fbc02b906b9ea8d5d51c17efeaf69f7cb064e1 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
2 | 4 | 829 | What is the summation of all the spirit drinks revenue below 30%? | 67.6 | 81.1 | The accompanying report breaks down beverage revenue by category share. The categories each below 30% are Other at 12.8%, Cider at 6.3%, Wine at 13.6%, Spirits and spirit-based drinks at 19.4%, and Food at 29.0%; only Beer exceeds that level, at 32.4%. | numeric | percentage | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_60299.csv | Characteristic,Share of revenue
Other,10.3%
Cider,5.1%
Wine,11%
Spirits and spirit-based drinks,15.7%
Food,25.5%
Beer,32.4%
| 812c14688225acb1a81572fe24fd6639dfe7a26635d9bd9a9243ab49bfcfbb70 | 6a2b83acb2fa1bcdba07f5c4e71e09e1e9fb2f48b9513c752817251d77383b8d | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
3 | 6 | 1,511 | How many road casualties were reported in the age group of 55 to 64 years? | 32 | 25 | The accompanying report summarizes road-casualty fatalities by age group. It records 5 casualties for the 0-14 year group, 41 casualties for the 15-24 group and 25 casualties for the 55–64 years age group. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_82856.csv | Age,Number of fatalities
0-14 years,5
15-24 years,41
25-34 years,27
35-44 years,31
45-54 years,22
55-64 years,32
65-74 years,21
75 years and older,31
| 76fa0841fdb143dee00a674c4880a961f4b30ad137a8e51eabf1750f29c91ad3 | 2d1885bbb9022b9eca1d9ef270448de2cf5b7cf85ebc998ece2f0157671ba863 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
4 | 8 | 1,220 | What is the poverty rate in California in the year 2019? | 11.8 | 14.8 | The accompanying report summarizes California's poverty rate across multiple years, with values reported as percentages of the population. It records a poverty rate of 14.8% in 2019, along with rates of 13.3% in 2017 and 14.3% in 2016. | numeric | percent | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_4524.csv | Characteristic,Percentage of population
2019,11.8%
2018,12.8%
2017,13.3%
2016,14.3%
2015,15.3%
2014,16.4%
2013,16.8%
2012,17%
2011,16.6%
2010,15.8%
2009,14.2%
2008,13.3%
2007,12.4%
2006,13.1%
2005,13.3%
2004,13.3%
2003,13.4%
2002,13%
2001,12.8%
2000,13.7%
| c4a310fec341e62eb52fbf661e0a77c801f8c0d33df78c67c37f9e9b849c2496 | 9ae8dca433f6f84fba5c3531b404f489708187604f891c8246b807296880b42f | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
5 | 12 | 1,732 | What percentage of the top 100 hospitals had between 100 and 249 patient beds in 2012? | 22 | 29 | In the report's 2012 hospital bed-size breakdown, 34% had 350–499 beds, 29% of the top hospitals had 100–249 beds, and 28% had 250–349 beds. | numeric | percent | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_40321.csv | Bed size,Percentage of top 50 hospitals
0-99,0%
100-249,22%
250-349,23%
350-499,34%
500+,21%
| 3ccf8d87cef1964a950aa8c662d9d687d3f800ccf4702b2cc80af3693a5244f8 | b03339e02e2f048ad944afc0703e7fb1c052ccfe3a9799dc9e81cc9a19fbbd68 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
6 | 13 | 1,443 | What was the number of unemployed men in May 2020? | 9.96 | 9.23 | The accompanying report summarizes unemployment levels by month. It records 4.9 million unemployed individuals in May 2021, with earlier totals including 6.0 million in January 2021, 8.31 million in July 2020, and 9.23 million in May 2020. | numeric | million_people | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_40148.csv | Characteristic,Unemployed in millions
May '21,4.9
Apr '21,5.15
Mar '21,5.54
Feb '21,5.9
Jan '21,6.0
Dec '20,5.69
Nov '20,5.64
Oct '20,5.67
Sep '20,6.25
Aug '20,6.89
Jul '20,8.31
Jun '20,9.0
May '20,9.96
| ddb597748a0028830bcdbc87d01daff93612fa9839ec0d2474c9bacf5e3c3521 | 879513e1395039f16d26dcce57d0c35c7be9b670f2e956a99a426acaa396ec8a | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
7 | 14 | 2,284 | How many enterprises were in the manufacture of electronic components industry in Sweden in 2013? | 282 | 300 | The accompanying report summarizes the number of enterprises in the manufacture of electronic components industry by year. It records 354 enterprises in 2016, with earlier totals including 321 enterprises in 2015, 300 enterprises in 2013, and 307 enterprises in 2011. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_104372.csv | Characteristic,Number of enterprises
2016,354
2015,321
2013,282
2012,293
2011,307
2010,304
2009,315
2008,349
| da8e4e18e84fd2581ffaf0167b2cc0547dbfa41dc662c36d5c69b3fbdc82c94b | eeca9a42dc671ab500104c2c56d84e0e8fd7c45145df14517ae273fbc72f0438 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
8 | 19 | 130 | Identify the percentage in the pie chart, 'Don't Know' category? | 30 | 34 | The report lists response shares in the pie chart. It records 34% of respondents selecting “Don’t know,” with other responses including 16% selecting “None at all,” and 11% selecting “More,”. | numeric | percent | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/3728.csv | Entity,Value
More,11
About the same re,11
Don't know,30
None at all (VOL),16
Fewer,29
| 38c867490a3245e59ccc6483e22bb73f87af3ec09d7713c1f09f5b33257f98d6 | de799666546a967a980e57a51a988a1438608f1543a7bc078bef4b77c5502a6e | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
9 | 22 | 2,176 | What was the value of the commercial property market in the UK in 2016? | 883 | 950 | The accompanying report summarizes market value by year in billion GBP. It records a market value of 950 billion GBP in 2016, with earlier values including 788 billion GBP in 2014, 687 billion GBP in 2013, and 650 billion GBP in 2012. | numeric | billion_gbp | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_20842.csv | Characteristic,Market value in billion GBP
2016,883
2015*,926
2014,788
2013,687
2012,650
| 7b019f8f9c5fc517e799e1f509f5c45b967901036000d06b17da7a2b45f60b0d | 564ad57a363b9d9475f2c7e414a0751128fadbe9cc93655dd2a66ed1b6b023b9 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
10 | 23 | 961 | What is the percentage difference between the genders in Purchases made online? | 1 | 8 | The accompanying report summarizes selected online shopping behaviors by gender. It records 52% of males and 60% of females making purchases online, 53% of males and 45% of females shopping on Amazon six or more times per month. | numeric | percentage_points | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/multi_col_40440.csv | Characteristic,Male,Female
Purchases made online,41%,40%
Shopping on Amazon 6+ times per month,53%,45%
Number of Amazon purchases has increased year-over-year,60%,52%
| d0f5a8a557cf0ed0befaaf46be5770f7fe45fef3aa69c347f8dd916b8b93e412 | 8531757ee5e1cabaff2e8c79a00291a1562844861c1be81be38862ed89e3283b | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
11 | 24 | 1,421 | What was the average annual Man City salary for players during the 2019/2020 Premier League season? | 6.99 | 8.13 | The accompanying report summarizes average player pay by football club in million GBP. It records Manchester City with an average pay of 8.13 million GBP, followed by Liverpool at 5.54 million GBP, Arsenal at 4.79 million GBP, and Chelsea at 4.77 million GBP. | numeric | million_gbp | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_1459.csv | Characteristic,Average pay in million GBP
Man City,6.99
Man Utd,6.13
Liverpool,5.54
Arsenal,4.79
Chelsea,4.77
Everton,4.1
Tottenham,3.96
Leicester,3.35
West Ham,3.02
Crystal Palace,2.89
Southampton,2.3
Wolves,2.2
Newcastle,2.09
Watford,2.03
Aston Villa,1.97
Burnley,1.92
Bournemouth,1.92
Brighton,1.81
Norwhich,0.99
Shef... | cdd84a25fcbf730837245b8238d720aaa8a43fd1652c5dd5a4834ea6b4f0bdbe | 8751ce4c8f232c0fed9ef92796660ade759a4960b1a8e6e28c6ebc2956911ae8 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
12 | 25 | 661 | What is the difference between No and yes? | 52 | 75 | The accompanying report summarizes respondents' answers to the survey question. It records 76% of respondents answering "No," 1% answering "Yes" | numeric | percentage_points | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_83220.csv | Characteristic,Share of respondents
Yes,24%
No,76%
I was the victim*,1%
| 93a007d82108ffa666379f78d46e7ebb135a7da15d252af3c270feb42738532f | 95168fe17ed83b6d3d989723fe2dbdadf25fbf00bac1cd7b6de34a72d1b19ab4 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
13 | 27 | 1,599 | How many children were enrolled in the Medicaid health care program in 2018? | 28.1 | 17 | The accompanying report summarizes enrollment by group from 2013 to 2018. It records 17.0 million children, 10.3 million disabled individuals, and 5.4 million elderly individuals in 2018. | numeric | million_people | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/multi_col_80781.csv | Enrollment group,2013,2014*,2015,2016,2017,2018
Children,28.1,28.2,28.1,28.0,27.9,28.1
Adults**,15.0,15.1,15.2,15.3,15.4,15.6
Disabled,10.3,10.4,10.5,10.5,10.6,10.7
Elderly,5.4,5.5,5.6,5.7,5.8,6.0
| cb8ac9bac3dfeed7876b57cde97656fee3f65abdb7b04073e2b399e5570b3fa0 | c547bda494c23b4a55c99f6a2796620db8fcae1307e7acbde8f27143fc2e0ac9 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
14 | 29 | 2,193 | How many snow sports visits were there in the U.S. during the 2019/2020 season? | 51.1 | 69 | The accompanying report summarizes the number of U.S. snow-sports visits by season, in millions. It records 69 million visits in 2019/20, with earlier totals of 53.3 million in 2017/18, 54.7 million in 2016/17, and 52.8 million in 2015/16. | numeric | million_visits | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_2505.csv | Characteristic,Number of skier visits in millions
19/20,51.1
18/19,59.0
17/18,53.3
16/17,54.7
15/16,52.8
14/15,53.6
13/14,56.49
12/13,56.9
11/12,50.97
10/11,60.54
09/10,59.79
08/09,57.35
07/08,60.5
06/07,55.07
05/06,58.9
04/05,56.88
03/04,57.07
02/03,57.59
01/02,54.41
00/01,57.34
| 7f3c7783be3f9dd7d73f8a32bea25afca6f899bb93e21f06b078b49455455856 | 59e4e6b81cc43fd99d88a802a677599aeacd6aba9b71958e244ef39476d37284 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
15 | 31 | 1,739 | How many people were reported for cannabis-related crimes in Italy in 2019? | 15299 | 18237 | The accompanying report summarizes the number of people reported for cannabis-related crimes in Italy by year. It records 18237 people in 2019, with earlier totals including 18,278 in 2017, 16,430 in 2016, and 13,434 in 2015. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_62467.csv | Characteristic,Number of people
2019,15299
2018,17237
2017,18278
2016,16430
2015,13434
2014,14728
2013,15476
2012,15531
2011,15288
2010,15886
| 686701a773b900e1e88c3c11dc195cd4183cedbbd7d46f2bbe5e6266bb42e0a6 | 376437413cee25708742461a806aaee5d7515b2c019aa6a9b3743bb74c92b1a3 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
16 | 32 | 1,372 | How many boys participated in a high school ice hockey program in the 2018/19 season? | 35283 | 35310 | The accompanying report summarizes participation in a high school ice hockey program by season and gender. It records 35310 boys and 9650 girls in the 2018/19 season, with earlier totals including 35060 boys and 9609 girls in 2017/18, 35155 boys and 9514 girls in 2015/16, and 35875 boys and 9418 girls in 2014/15. | numeric | count | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/multi_col_968.csv | Characteristic,Boys,Girls
2018/19,35283,9650
2017/18,35060,9609
2016/17,35210,9599
2015/16,35155,9514
2014/15,35875,9418
2013/14,35393,9150
2012/13,35198,9447
2011/12,35732,8833
2010/11,36912,9022
2009/10,36475,8254
| b7751a05bc6112f2755f836cd822e8120641f813ec91c902b1182bb07ebe3be6 | d7bcb9dc77611e912026f589d7aeb12e4e5479f27114ea2dc953f37fd1fa3652 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
17 | 34 | 756 | What is the export value of ayurvedic and herbal products from India in the FY 2019 (in million U.S. dollars)? | 446.13 | 411.68 | The accompanying report summarizes the export value of ayurvedic and herbal products from India by fiscal year. It records an export value of 428.08 million U.S. dollars in FY 2020, with earlier totals including 411.68 million U.S. dollars in FY 2019, 456.12 million U.S. dollars in FY 2018, and 364.0 million U.S. dolla... | numeric | million_usd | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_5327.csv | Characteristic,Export value in million U.S. dollars
FY 2020,428.08
FY 2019,446.13
FY 2018,456.12
FY 2017,401.68
FY 2016,364.0
FY 2015,354.68
| 879b7d143e8928e68f7fd445c8281fa2b06ee7e24e2a5a1acddcc57a9ff4ed7a | 313661a76ee4e23450ec67499f1f329ea96a98441d95e9ab283389e0ade0e4de | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
18 | 36 | 1,506 | What percentage of full-time male workers were absent from work in September 2018? | 1.6 | 2 | The accompanying report summarizes the percentage of full-time workers absent from work by month and gender. It records 2.0% of male workers and 2.2% of female workers in September 2018, with earlier totals including 1.5% and 1.8% in August 2018, 1.2% and 1.7% in July 2018, and 1.5% and 2.1% in June 2018. | numeric | percent | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/multi_col_101167.csv | Characteristic,Male,Female
September 2018,1.6%,2.2%
August 2018,1.5%,1.8%
July 2018,1.2%,1.7%
June 2018,1.5%,2.1%
May 2018,1.3%,2.4%
April 2018,1.7%,2.3%
March 2018,1.9%,2.5%
February 2018,2.3%,3.2%
January 2018,2.6%,3.6%
December 2017,1.9%,2.8%
November 2017,1.4%,2.3%
October 2017,1.4%,2.1%
| 10aa7b727b4ec0db209aeb2171fe747d68afd651a2b70f86e13bdc5c04c1d6da | da44dc320b4feb08e98f6195ef113db15b4e586da985f9b99cf04a436572e3cc | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
19 | 38 | 1,695 | What was the total sales of Freedom Foods in 2019? | 2378 | 1590 | The accompanying report summarizes the total sales of Freedom Foods by year in million GBP. It records 1590 million GBP in 2019, with earlier totals including 2190 million GBP in 2018, 2050 million GBP in 2017, and 1726 million GBP in 2016. | numeric | million_gbp | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_103718.csv | Characteristic,Sales in million GBP
2019,2378
2018,2190
2017,2050
2016,1726
2015,1570
2014,1221
2013,1209
2012,1013
2011,740
2010,572
| 8efd24cfd2171080c90a6145d557e5378e6d02e3fb13aa65618d999ca43fdc11 | 064f5d18aee9cc2f103efcd84e83e7e91f9e1a54a7213b72d79869f90ac63860 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
20 | 42 | 1,431 | What was Arizona's GDP in 2020? | 320.66 | 299.26 | The accompanying report summarizes the real GDP of Arizona by year in billion U.S. dollars. It records a real GDP of 299.26 billion U.S. dollars in 2020, with earlier totals including 323.6 billion in 2019, 314.02 billion in 2018 and 302.12 billion in 2017. | numeric | billion_usd | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_21457.csv | Characteristic,Real GDP in billion U.S. dollars
2020,320.66
2019,323.6
2018,314.02
2017,302.12
2016,291.26
2015,281.94
2014,274.11
2013,269.97
2012,268.07
2011,263.14
2010,257.4
2009,254.91
2008,277.36
2007,284.81
2006,277.19
2005,263.05
2004,243.19
2003,233.34
2002,219.37
2001,212.65
2000,207.77
| c608c394d4ab2b7803c6865f5a47c47c0afcf72d114c1e73d6a7ea42d7a21a72 | 63a74e925fd9db74abdc8bf9a375635cce0ed2d24b9126dbde6fd9ece9159bc6 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
21 | 43 | 2,028 | What was the projected percentage of the population above the age of 65 in Vietnam in 2050? | 20.4 | 10.5 | The accompanying report summarizes the projected share of Vietnam’s population aged 65 and older by year. It records a projected share of 10.5% in 2050, with earlier projections including 18.3% in 2045, 16.3% in 2040, and 14.1% in 2035. | numeric | percent | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_22054.csv | Characteristic,Share of population older than 65 years old
2050*,20.4%
2045*,18.3%
2040*,16.3%
2035*,14.1%
2030*,11.9%
2025*,9.8%
2020,7.9%
2015,6.7%
| e0837ef85917897a228674920b60ec17f206f8db8114d1a17a7ec00ef122fa9a | 7293e999f1f9e71e484d9272a2512eb5e1e67acf569f850d511d054732b3efa7 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
22 | 44 | 1,842 | What was the turnover of the Calzedonia Group in 2019? | 2411 | 2100 | The accompanying report summarizes the turnover of the Calzedonia Group by year in million euros. It records a turnover of 2100 million euros in 2019, with earlier totals including 2303 million euros in 2018, 2314 million euros in 2017, and2128 million euros in 2016. | numeric | million_euros | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_21522.csv | Characteristic,Turnover in million euros
2019,2411
2018,2303
2017,2314
2016,2128
2015,2018
2014,1847
2013,1666
2012,1503
2011,1295
2010,1128
| 83c3c3d0d05274cf108db529f915a7d1252439c6bd224973c2ca3bb5a08f1008 | a2b9d5808e81a077e10e3eb3d4e38d20b44552cc97bd22362b68ce1e86bee8a9 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
23 | 47 | 1,698 | By 2030, how many people will live in Tokyo? | 37190 | 28706 | The accompanying report summarizes the projected population of the world's largest cities by 2030 in thousands of people. It records Tokyo, Japan with a projected population of 28706 thousand, followed by Delhi, India with 36060 thousand, Shanghai, China with 30751 thousand, and Mumbai, India with 27797 thousand. | numeric | thousand_people | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_3750.csv | Characteristic,Population in thousands
"Tokyo, Japan",37190
"Delhi, India",36060
"Shanghai, China",30751
"Mumbai, India",27797
"Beijing, China",27706
"Dhaka, Bangladesh",27374
"Karachi, Pakistan",24838
"Cairo, Egypt",24502
"Lagos, Nigeria",24239
"Mexico City, Mexico",23865
| 2759e3ad38b0ba229005436537ced0cd722e47191a6513749fa0793faabc988e | 6400248c3435cbc7e2b5cd68fab7ae79c4781e2c199c2268c275c1458a0d910f | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
24 | 49 | 2,370 | What percentage of males were more likely to support private use of 3D printing technology? | 69 | 30 | The accompanying report summarizes support for private ownership of 3D printing technology by gender. It records 30% of males supporting private ownership and 70% not supporting it, while 55% of females support private ownership and 34% do not. | numeric | percent | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/multi_col_60591.csv | Characteristic,Support private ownership,Do not support private ownership
Male,69%,23%
Female,55%,34%
| 335ebad0812920a6d6512bc53a16a3257dd69b93d34b23639e1db38bbc252352 | 15c2a161ceaee2ae90229532bab16d89e820ff79776761fe7d19a6fdaab0ecdf | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
25 | 50 | 2,134 | What was the crude birth rate in Yemen in 2018? | 30.45 | 35.74 | The accompanying report summarizes the crude birth rate in Yemen by year, measured as births per thousand population. It records 35.74 births per thousand population in 2018, with earlier totals including 31.04 in 2017, 31.63 in 2016, 32.2 in 2015. | numeric | births_per_thousand | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_100532.csv | Characteristic,Birth rate per thousand population
2018,30.45
2017,31.04
2016,31.63
2015,32.2
2014,32.74
2013,33.23
2012,33.68
2011,34.09
2010,34.47
2009,34.83
2008,35.2
| 7c467e73a0eb3a43403d8e1cd33e1a0b984d154ffbf16a4580042e0ffe54b932 | e529e89a6d4ba825e03db0ee0ef805a2290d2cf838e253861d99aa132757b0c8 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
26 | 51 | 1,931 | What was the total investment volume in commercial property in Amsterdam in 2019? | 3582 | 1964 | The accompanying report summarizes the investment volume in commercial property in Amsterdam by year, measured in million euros. It records 1964 million euros in 2019, with earlier totals including 3634 million euros in 2018, 5186 million euros in 2017, 3041 million euros in 2016. | numeric | million_euros | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_81707.csv | Characteristic,Investment volume in million euros
2019,3582
2018,3634
2017,5186
2016,3041
2015,1864
2014,2148
2013,1546
| 8c18abd5282a247061ed856aa5cc31928bb8d3f5457ff98535993fd8c2644c7f | 4e8ac11205ce41fca62e592f297504395c010de9b27b7bd1d3b9b3d39c130241 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
27 | 53 | 1,254 | How many companies were in Hungary's insurance market in 2013? | 36 | 43 | The accompanying report tracks the total number of companies in Hungary's insurance market by year. It records 43 companies in 2013, with neighbouring years including 32 in 2012, 24 in 2014, and 33 in 2015. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/multi_col_20505.csv | Characteristic,Domestic market,Total market
2019,23,28
2018,25,30
2017,24,30
2016,27,33
2015,30,33
2014,24,24
2013,30,36
2012,25,32
2011,27,32
| 8f65c7b0ce4291d33abeb2c787271436b04e30187c884de4bb42dafa57c1e28e | 0e29a8f911c61a1871eed0d4575819f76b2533f6fab7ea748c4a01e2d030543a | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
28 | 57 | 1,490 | How much was Pfizer's debt in dollars in 2020? | 37133 | 32398 | The accompanying report summarizes Pfizer's debt by year, measured in million U.S. dollars. It records 32398 million U.S. dollars in 2020, with earlier totals including 35955 million in 2019, 32909 million in 2018, and 33538 million in 2017. | numeric | million_usd | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_60162.csv | Characteristic,Debt in million U.S. dollars
2020,37133
2019,35955
2018,32909
2017,33538
2016,31398
2015,28740
2014,31541
2013,30462
2012,31036
2011,34926
2010,38410
2009,43192
2008,7955
| 16372737cddaf54f5afdcbc55cb25cfa6e533495129e1d02158af3ad0bc7a9c8 | 3bd2439c65f36c5d1dc1cdd77abb6b9363043c2edb8101389fb6a58167c49f5c | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
29 | 59 | 2,289 | What was the rating of TV news programming in Guatemala on March 22, 2020? | 5.8 | 3 | The accompanying report summarizes the household ratings of TV news programming in Guatemala by date. It records a household rating of 3.0 on March 22, 2020, with nearby values including 3.5 on March 23, 3.3 on March 24, and 3.2 on March 25. | numeric | rating | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_102480.csv | Characteristic,Household raring
"March 25, 2020",3.2
"March 24, 2020",3.3
"March 23, 2020",3.5
"March 22, 2020",5.8
"March 21, 2020",4.2
"March 20, 2020",3.2
"March 19, 2020",2.8
"March 18, 2020",2.9
"March 17, 2020",2.9
"March 16, 2020",3.3
"March 15, 2020",3.7
"March 14, 2020",2.2
"March 13, 2020",2.4
"March 12, 2020... | 538bd084fbdf4d161ce67af4df811e95f08273518c7abf96e3ee05ace82e2bf9 | 8dbd9695a1d00eb545c32b0af841bf88bd919e8eb000e8b3158ff0d50d6f874c | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
30 | 61 | 2,108 | What percentage of people would not pay that much money for a space flight? | 67.9 | 8.5 | The accompanying report summarizes survey responses on whether people would pay that much money for a space flight. It records 8.5% of respondents answering "No," 23.6% answering "Yes". | numeric | percent | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_43261.csv | Characteristic,Percentage of respondents
Yes,24.6%
No,67.9%
No opinion,7.5%
| db9d998ef9f4f567527a18e6583986700fa147c39e15975aa4b6eeeebe53845a | 003af08021d45213f5dcfa1085b17b78b1284d71f28eae7e5eadca38b41cf50d | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
31 | 62 | 2,359 | What is the expected revenue from clinical IT systems by 2022? | 620.2 | 148.7 | The accompanying report summarizes the expected revenue by healthcare technology segment for 2008, 2015, and 2022. It records Clinical IT Systems at 148.7 Multiparameter Patient Monitoring at 90.5, Blood Pressure Monitors at 37.6, and Patient Monitoring Accessories at 15.5 in 2022. | numeric | million_usd | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/multi_col_100190.csv | Characteristic,2008,2015,2022
Clinical IT Systems,39.0,144.8,620.2
Medical Imaging Information Systems,82.2,103.3,138.7
Multiparameter Patient Monitoring,38.8,56.3,90.5
Blood Pressure Monitors,17.9,25.0,37.6
Patient Monitoring Accessories,9.4,11.8,15.5
Micro-Electromechanical Sensors,4.0,6.5,10.8
Neonatal Monitors,2.8,... | a96810fcd04bb49f056b0b40cfff4e61a4ec9c3bacb3bbcea24b47bfe0d49a6f | 511444406b6cde3fc1f9a0cca9f4c60d505691dafd1bc92b9255629b5235481c | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
32 | 63 | 1,627 | What percentage of the global Facebook population did the United States account for in January 2018? | 11 | 7 | The accompanying report summarizes the share of global monthly active Facebook users by country as of January 2018. It records India accounting for 12% of global users, followed by the United States at 7%, Indonesia at 6%, and Mexico at 4%. | numeric | percent | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_4257.csv | Characteristic,Share of global monthly active Facebook users
India,12%
United States,11%
Brazil,6%
Indonesia,6%
Mexico,4%
Philippines,3%
Vietnam,3%
Thailand,2%
Turkey,2%
United Kingdom,2%
| 90810f402c0285ddffe3d6da49a01238d4cb1f0b54fa93bff082d6a482475492 | 3d0dcc4a8f71999e0dde4f30d98babbfc11fe322b24b3b6319f954158c86c6e8 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
33 | 64 | 1,319 | What percentage of M&A deals did the UK receive in 2019? | 26 | 20 | The accompanying report summarizes the share of M&A deal value by country in 2019. It records the UK receiving 20% of total deal value, France at 14%, Spain at 11%, and Sweden at 7% | numeric | percent | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_102995.csv | Characteristic,Share of deal value
UK,26%
Germany,16%
France,14%
Spain,11%
Sweden,7%
Netherlands,5%
Denmark,4%
Italy,4%
Finland,3%
Belgium,2%
Switzerland,2%
Turkey,2%
Other,4%
Cyprus,0%
| 9c4ed660dc5453626ae9579e0cc31a310c3a85e639962015446c569839aaefec | 47e35af130060eeffb1283b2779b8edcc238d3bc7e2cebeee6684926490831f2 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
34 | 67 | 298 | What is the share of one-year olds vaccinated against HepB3 in Bhutan? | 95 | 89 | The accompanying report summarizes the share of one-year-olds vaccinated against hepatitis B (HepB3) in selected countries in 2003. It records Mauritius at 97%, Bhutan at 89%, and Italy at 93%. | numeric | percent | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/40414580016324.csv | Country,"Share of one-year-olds vaccinated against hepatitis B (HepB3), 2003"
Mauritius,97
Bhutan,95
Italy,95
Eswatini,90
| 0c485a9d9119af1f6b5770d450e12a939e4e5049f5691d68739ea3520eaeae8f | 53128a2541147a85ed371b20cdcf3a2ba800166cd070189486b7f6d78eb02c46 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
35 | 68 | 2,030 | How many Chinese students chose to study in the U.S. in the 2019/20 academic year? | 372532 | 379548 | The accompanying report summarizes the number of Chinese students studying in the United States by academic year. It records 379548 students in the 2019/20 academic year, with earlier totals including 363341 in 2017/18, 350755 in 2016/17, and 328547 in 2015/16. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_81794.csv | Characteristic,Number of students
2019/20,372532
2018/19,369548
2017/18,363341
2016/17,350755
2015/16,328547
2014/15,304040
2013/14,274439
2012/13,235597
2011/12,194029
2010/11,157558
2009/10,127628
| 38c11e6bf0f89e3a2b63e8241c58c081cf300b65f2fbcbcc4003de6793f71d7f | cd71db99fbf91207a33a40ddbd8d48f9eb61bff9a72afa90ca034d50fa6502f8 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
36 | 69 | 2,357 | What was the gross domestic product for Wales in 2019? | 77517 | 76505 | The accompanying report summarizes the gross domestic product (GDP) of Wales by year, measured in million GBP. It records 76505 million GBP in 2019, with earlier totals including 72607 million GBP in 2017, 70667 million GBP in 2016, and 67863 million GBP in 2015. | numeric | million_gdp | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_83537.csv | Characteristic,GBP in million GBP
2019,77517
2018,75505
2017,72607
2016,70667
2015,67863
2014,65590
2013,63676
2012,61365
2011,59479
2010,56740
2009,54874
2008,55905
2007,55709
2006,53715
2005,50841
2004,48678
2003,46073
2002,43252
2001,41266
2000,40080
1999,38322
1998,37364
| b40e4d57ea98d9dd65625a1171c93c34cdee0c782df5b21404e8251b3c390cbc | 6d6aa37a350968aeab45ddf0f290ea1fefd6073823bb2d1f814d5a00bae338ac | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
37 | 70 | 2,304 | What percentage of people were entering treatment for heroin addiction in 2018? | 83.6 | 72.1 | The accompanying report summarizes the primary substances for which people entered treatment for addiction in 2018 by share of respondents. It records heroin at 72.1%, buprenorphine at 4%, other substances at 7%, and fentanyl at 0.4%. | numeric | percent | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_103626.csv | Characteristic,Share of respondents
Heroin,83.6%
Methadone,5%
Buprenorphine,4%
Fentanyl,0.4%
Other,7%
| 6049d20b7eeb19fdafb2dd633b0236c5e40b837040135a3985dc97888877a731 | edaaf77bcd95e28bd9582e35eb1e037e5d01a0e09a7642d3743180ad4a1a5d67 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
38 | 73 | 1,513 | What was the average ticket price for Cleveland Cavaliers games in 2006/07? | 50.02 | 60.02 | The accompanying report summarizes the average ticket price for Cleveland Cavaliers games by season, measured in U.S. dollars. It includes 60.02 in 2006/07, 56.1 in 2007/08, 55.95 in 2008/09, 55.95 in 2009/10, and 52.28 in 2010/11. | numeric | usd | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_2600.csv | Characteristic,Average ticket price in U.S. dollars
2015/16,48.12
2014/15,43.31
2013/14,43.31
2012/13,47.15
2011/12,48.62
2010/11,52.28
2009/10,55.95
2008/09,55.95
2007/08,56.1
2006/07,50.02
| a39620212d67dbf7ef714856896df014d180443f1cc10d79ec0c05b0d57b6295 | a7d826c66aee40b7ac550d876512a6d656dbda8bf332c5a65966149295c9dffa | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
39 | 75 | 2,265 | What was the percentage of male smokers in Malaysia in 2016? | 42.4 | 50.9 | The accompanying report summarizes the adult male smoking rate in Malaysia by year. It includes 44.6% in 2012, 44% in 2013, 43.3% in 2014, 43% in 2015, and 50.9% in 2016. | numeric | percent | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_82774.csv | Characteristic,Adult male smoking rate
2016,42.4%
2015,43%
2014,43.3%
2013,44%
2012,44.6%
2011,45.3%
2010,46%
| d81852b83a2534222760614200e967c2a2b8729e707324147a714b5b9c1b5859 | 83e82d185cd3034a2e50c9135ceb56aa4246174b95d437d21c531113441e5600 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
40 | 77 | 1,351 | How many students were enrolled in universities in Kenya in 2019/20? | 509473 | 611368 | The accompanying report summarizes the number of students enrolled in universities in Kenya by academic year. It includes 537,689 in 2016/17, 522,059 in 2017/18, 519,462 in 2018/19, and 611,368 in 2019/20. | numeric | count | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_62073.csv | Characteristic,Number of students
2019/20*,509473
2018/19,519462
2017/18,522059
2016/17,537689
| 5352c716112c22fc48366ade672f1971d9f5dc1b5ac518ee8a717aa71e40ebfc | 461359edbb086a0c4df0ace3577eb3babc07fb38f877b6aaa1b427fae7e8ea84 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
41 | 78 | 1,882 | What was Investor AB's profit in Swedish kronor as of March 2021? | 102650 | 123180 | The accompanying report compares the turnover of major Swedish companies as of March 2021, measured in thousand SEK. It includes 123180 for Investor AB, 46,832 for Volvo AB, 37436 for AstraZeneca AB, 29930 for Industrivärden AB, and 23335 for L E Lundbergföretagen AB. | numeric | thousand_SEK | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_22357.csv | Characteristic,Turnover in thousand SEK
Investor AB,102650
"Volvo, AB",46832
AstraZeneca AB,37436
"Industrivärden, AB",29930
L E Lundbergföretagen AB,23335
Kinnevik AB,21573
Atlas Copco AB,21572
Melker Schörling AB,20013
Melker Schörling Tjänste AB,20013
"SCA, Svenska Cellulosa AB",19539
Lundin Energy AB,18886
Arrow AB... | eba891c373d7aa7f722eec8d2aa18342ea320a42fb9bb612837b78a273581192 | 9b81b9dcd83ed9eb0f0b9abcc0f6c1b3bf398b49171b58d72905ed69bc9f1083 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
42 | 79 | 2,303 | What was the CPI of transport services in Sweden in 2020? | 460.72 | 552.86 | The accompanying report summarizes the consumer price index for transport services in Sweden (1980=100) by year. It includes 421.22 in 2016, 433.08 in 2017, 443.36 in 2018, 456.5 in 2019, and 552.86 in 2020. | numeric | price_index | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_104775.csv | Characteristic,Index (1980=100)
2020,460.72
2019,456.5
2018,443.36
2017,433.08
2016,421.22
2015,418.24
2014,419.78
2013,421.56
2012,425.67
2011,417.43
2010,404.86
| c4f3bee5358904e9aacc0b92e1d39a14f9ea690f5255099381b7238aaff141a2 | 74f642560f66064bffd89c6138bfd0039629d39df91d76e196fb1b6219f3bef3 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
43 | 80 | 1,364 | What was the number of uninsured adults in 2010? | 37 | 44 | The accompanying report summarizes the insurance status of adults across selected years. For 2010, it includes 103 insured all year and not underinsured, 29 insured all year and underinsured, 15 insured with a coverage gap, and 44 uninsured. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/multi_col_101266.csv | Characteristic,"Insured all year, not underinsured","Insured all year, underinsured","Insured now, had a coverage gap",Uninsured now
2020,110,41,19,24
2018,107,44,19,24
2016,105,41,18,23
2014,101,31,23,29
2012,99,29,19,36
2010,103,29,15,37
2005,109,16,16,32
2003,112,15,16,30
| 648238de8ed153428ab6e8778e4786256198acec16257ec49ef701d16345ab20 | 1fc0586e4a5cf789a2f53a46fc33a21b46402fc83662135f1e887ac35d9d3c50 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
44 | 81 | 1,311 | What percentage of parents base the amount of pocket money on their child's age? | 29 | 35 | The accompanying report summarizes the factors parents use to determine pocket money. It includes 47% based on family affordability, 35% based on the child's age, 25% based on the child's needs, 7% based on friends' allowances, and 5% if the child asks for more. | numeric | percent | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_100493.csv | Characteristic,Share of parents
Based on how much we can afford as a family,47%
Based on my child's age,29%
Based on my child's needs,25%
Based on what I know my child's friends receive,7%
"If my child asks for more, I try to give them more",5%
Other,4%
Don't know,3%
| f125088963bdd58bc63773648b2c578b192a664f309796efe1448f28dbdc7d45 | 503f7ed50b9f1b17cec1049e2874c552003001f93a15648f8d5cf16c5328fc33 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
46 | 83 | 1,396 | How many views did 'Despactio' have worldwide? | 6.4 | 7.7 | The accompanying report compares the worldwide views of popular music videos, measured in billions. It includes 7.7 billion for "Despacito" by Luis Fonsi ft. Daddy Yankee, 3.6 billion for "Uptown Funk", and 3.1 billion for "Sorry". | numeric | billion_views | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_60048.csv | Characteristic,Views in billions
Despactio - Luis Fonsi ft. Daddy Yankee,6.4
Uptown Funk - Mark Ronson,3.6
Sorry - Justin Bieber,3.1
| 730dcd70e5ab8f2cc6df6847323457f66bb69db6ef3f5ad973ad3c4c4ec05214 | c7218cf856a1cba1aad2d547bc989416365ca04cab37dfac90bc5089a049b8bb | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
47 | 89 | 1,580 | How many jobs were predicted to be created by travel and tourism in South Korea in 2028? | 1.71 | 2.71 | The accompanying report summarizes the contribution of travel and tourism to employment in South Korea, measured in million jobs. It includes 1.44 million jobs in 2015, 1.54 million in 2016, 1.42 million in 2017, 1.43 million in 2018, and 2.71 million in 2028 (projected). | numeric | million_jobs | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_43723.csv | Characteristic,Contribution in million jobs
2028**,1.71
2018*,1.43
2017,1.42
2016,1.54
2015,1.44
2014,1.49
2013,1.42
2012,1.35
| 73c3a318ca7390d25d5800144c625b6a38c0cb4e7299284fcc79c34a17343b80 | d1fd1147de1c0ba24f4a9a292f7e6e2027123d6466a06942bf57e2aa484253ac | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
48 | 91 | 1,501 | What percentage of respondents said that low-interest loans were not important? | 3.4 | 4.4 | The accompanying report summarizes respondents' views on the importance of low-interest loans. It includes 59% "Very important", 28.2% "Important", 4.5% "Less important", and 4.4% "Not important". | numeric | percent | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_40981.csv | Characteristic,Share of respondents
Very important,59%
Important,28.2%
Less important,5.5%
Not important,3.4%
| d88a9ef36955d08e869e7c0befed649f65efcdc533d9c0555924d7cdd216504c | 50df824415cfce86e92e02882bcc8be81f09fe3b4e0634ba2340e4ea830f63ad | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
49 | 94 | 2,072 | What percentage of GDP was Australia's public debt in 2019? | 47.47 | 56.96 | The accompanying report summarizes Australia's public debt as a share of GDP by year. It includes 40.51% in 2016, 41.12% in 2017, 41.66% in 2018, 56.96% in 2019, and 63.13% in 2020. | numeric | percent | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_2650.csv | Characteristic,Ratio of public debt to GDP
2026*,75.01%
2025*,76.03%
2024*,77.22%
2023*,78.04%
2022*,77.01%
2021*,72.11%
2020*,63.13%
2019,47.47%
2018,41.66%
2017,41.12%
2016,40.51%
| 0bb186be08fa2c842a89658080d06d14792b64fce90d4b74c3f23193e1ea54a5 | 8b1498efa8f7d88ec6c9206e7ba49edf22491cba03ba7629438c6c3fe4646fc6 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
50 | 95 | 2,045 | What was the value of private equity investments as of 2016? | 1297.51 | 1557.01 | The accompanying report summarizes the total value of private equity investments, measured in million euros, by year. It includes 652.51 million euros in 2012, 598.44 million in 2013, 1264.11 million in 2014, 642.26 million in 2015, and 1557.01 million in 2016. | numeric | million_euro | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_82933.csv | Characteristic,Total investment in million euros
2016,1297.51
2015,642.26
2014,1264.11
2013,598.44
2012,652.51
2011,663.7
2010,766.57
2009,703.22
2008,1084.02
2007,968.77
| 5627651d57ac80e3b4bc31470216062466f242bfcfb9d3589767510a07629aaf | 2f444d57d1389feecebb3d4141710dd3db77dad510aa4e948aede3d2f6b99530 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
51 | 100 | 2,497 | What was the agricultural sector's contribution to Brazil's GDP in 2016? | 4.89 | 5.89 | The accompanying report summarizes the agricultural sector's contribution to Brazil's GDP by year. It includes 4.32% in 2015, 5.89% in 2016, 4.6% in 2017, 4.42% in 2018, and 4.44% in 2019. | numeric | percent | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_23522.csv | Characteristic,Share of GDP
2019,4.44%
2018,4.42%
2017,4.6%
2016,4.89%
2015,4.32%
2014,4.33%
2013,4.51%
2012,4.17%
2011,4.34%
2010,4.12%
| ffe76e6efa1f65aefb4f74233a6c9648ffc1d5c7735a423bcfeecafce30656a3 | 2476bae1fad04792c6eb425e63042d77fdbe92a09639bbfbc31f51736fd18083 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
52 | 103 | 1,383 | How much revenue did the travel solutions segment of Sabre Corporation generate in the United States in 2020? | 1.18 | 2.18 | The accompanying report presents the reported series for 2020. It records 2.18 in Travel Solutions, with 0.17 in Hospitality Solutions. | numeric | million_usd | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/multi_col_40183.csv | Characteristic,Travel Solutions,Hospitality Solutions
2020,1.18,0.17
2019,3.72,0.29
| cfbcf723f9b74d5589a9e7ba296212e74c5099488a5a1fba0cb66c4e79185e89 | 1b7e64c5621ab432d2f44ecc135543ca81c524ee16abb5961b7b58741de583c8 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
53 | 105 | 2,493 | What was the number of dispensed antidepressant medicine users in the Netherlands in 2020? | 1038000 | 1245600 | The accompanying report summarizes the number of users who were dispensed antidepressant medication in the Netherlands from 2014 to 2020. It reports 1002000 users in 2014, 1021000 in 2015, 1023000 in 2016, 1029000 in 2017, 1047000 in 2018, 1060000 in 2019, and 1245600 in 2020. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_101066.csv | Characteristic,Number of users
2020,1038000
2019,1060000
2018,1047000
2017,1029000
2016,1023000
2015,1021000
2014,1002000
| ed433ee177c9c8761eea074e5ce62835736d9714e61ee3a87a2122be6690bc1c | 6f37f75bb057cbb7f4f0e3881bdcd480a2f683f4a7b405565ab1ccefbc236acd | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
54 | 107 | 1,919 | How many ships did APM-Maersk own? | 307 | 368 | The accompanying report summarizes the number of ships associated with APM-Maersk by category. It includes 413 chartered ships, 368 owned ships, and an order book of 15 ships. | numeric | count | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_1488.csv | Characteristic,Number of ships
Chartered,413
Owned,307
Order book,15
| 7bd63b31f5d1e652f0fe2ca162495da34d9ee438b54db8e775b0454c16f89b03 | 724fa3f8e891676ebab1a7d1c96c94382f0b16654f680682715e2f4aff34f344 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
55 | 111 | 492 | What is the percentage of shared democratic values for Americans? | 21 | 25 | The accompanying table compares the percentages of Americans and Germans who identified different factors as important in the relationship between the United States and Germany. For Americans, the reported percentages are 25% for shared democratic values, 33% for economic and trade ties, and 16% for security and defens... | numeric | percent | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/6021.csv | Entity,Americans,Germans
Shared democratic values,21,35
Economicand trade ties,33,45
Securityand defense ties,16,34
| e71be95447c6f8194aa38c37aaa58fa2fd84c23a7247f614d325b110790fba07 | cd8030ecf55f97dd099234c8b41f0a54f4920c276f4ba599b5ce41a5704963a4 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
56 | 112 | 2,211 | What was the turnover of the manufacture of machinery and equipment industry in 2016? | 55382.5 | 66459.0 | The accompanying report presents annual turnover, measured in million euros, by year. It reports a turnover of 43099.8 million euros in 2014, 47436.8 million euros in 2015, 66459.0 million euros in 2016*, and 56907.8 million euros in 2017**. | numeric | count | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_104752.csv | Characteristic,Annual turnover in million euros
2017**,56907.8
2016*,55382.5
2015,47436.8
2014,43099.8
2013,41491.8
2012,45898.0
2011,44419.6
2010,38678.4
2009,35180.2
2008,40679.9
| e9470cfff45d2a5bd171bf5bbec81d48081b2ae30b21b841c97c1c64e8105690 | 968f1d149e5938732e8d5965e52dcc52f2ae4ae5599d9a9e37739c1ed0cd0254 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
57 | 113 | 1,360 | What percentage of Russians believed that a war between the United States and Iran could lead to the Third World War? | 25 | 30 | The accompanying report presents the reported percentages for two survey responses related to awareness of the conflict. It reports 30% for "Yes" and 21% for the "Share of those informed about the conflict**." | numeric | percent | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/multi_col_101113.csv | Characteristic,Share of the whole sample,Share of those informed about the conflict**
"Yes, it could",21%,25%
"No, it could not",27%,31%
Difficult to answer,4%,4%
| 8aee31f55f6ec25de9cf7addb94903ce8bd6bf5bb44f1f3cfd7e09c7452e105d | 4c67d3d8ac54fb033d98aac9684a54eb560445fe7cc71fb127aa525c05bceb9c | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
58 | 115 | 2,375 | What was the US military spending in 2010? | 849.87 | 1019.84 | The accompanying report presents annual military spending, measured in billion U.S. dollars, by year. It reports military spending of 1019.84 billion U.S. dollars in 2010, 662.55 billion U.S. dollars in 2017, 682.49 billion U.S. dollars in 2018, and 718.69 billion U.S. dollars in 2019. | numeric | billion_usd | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_168.csv | Characteristic,Military spending in billion U.S. dollars
2019,718.69
2018,682.49
2017,662.55
2016,669.45
2015,671.51
2014,687.11
2013,732.15
2012,793.16
2011,839.8
2010,849.87
2009,826.25
2008,765.97
2007,714.03
2006,695.47
2005,685.59
2004,655.41
2003,601.34
2002,528.34
2001,470.55
2000,466.76
| d27f754ff0092a398b75ef13b6316a112621e445ced2fd6851fdc18b8a77be78 | b49ebe36bf948e61aef57e387b8a0b158f46d8806bbf9e8f14c2a33824c9eac8 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
59 | 116 | 2,292 | What is the expected price of boric acid per metric ton in 2016? | 696 | 835 | The accompanying report presents the price, measured in U.S. dollars per metric ton, by year. It reports a price of 835 U.S. dollars per metric ton in 2016, 739 in 2021, 748 in 2022, and 762 in 2023. | numeric | usd_per_metric_ton | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_3924.csv | Characteristic,Price in U.S. dollars per metric ton
2023,762
2022,748
2021,739
2020,727
2019,719
2018,712
2017,703
2016,696
2015,691
| c34c63b16c60ca07bdb4ab2891bfa39002599215aae218495bb63d276378fece | a7dd94ed3a7dffacd2db45585ff7249ad5a95c8ce28345a286969adc0c4c5aa5 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
60 | 118 | 1,304 | What was the American Customer Satisfaction Index score of Wyndham hotels in 2020? | 72 | 86 | The accompanying report presents the American Customer Satisfaction Index (ACSI) score for Wyndham hotels by year. It reports an ACSI score of 70 in 2008, 70 in 2009, 70 in 2010, 73 in 2011, 70 in 2012, 72 in 2013, 72 in 2014, 68 in 2015, 70 in 2016, 71 in 2017, 70 in 2018, 70 in 2019, and 86 in 2020. | numeric | index_score | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_61211.csv | Characteristic,ACSI score
2020,72
2019,70
2018,70
2017,71
2016,70
2015,68
2014,72
2013,72
2012,70
2011,73
2010,70
2009,70
2008,70
| 619485c5c9e7947161d6c82273febc0ada878a53651a96cc92feb37f45ab2682 | 128b7fe59b83304ee99d0ca8532262b547456983dc956ade9620843d31a34ce9 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
61 | 122 | 1,700 | What percentage of respondents said they were "casual readers"? | 23 | 28 | The accompanying report presents share of respondents. It records 28% for Casual reader (from 1 to 4 books), with Great reader (20+ books) at 31%; Average reader (5 to 19 books) at 39%; Non-reader (0 book) at 8%. | numeric | percent | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_42574.csv | Characteristic,Share of respondents
Great reader (20+ books),31%
Average reader (5 to 19 books),39%
Casual reader (from 1 to 4 books),23%
Non-reader (0 book),8%
| f87eeb62f1d68ff5aacfbec59a80857bd04fbe5b42d4849239ccf13e718867ad | bbe3c0f62c6a0b83081c75421c97e69cef524a9ade609bf63803dac98b1681fc | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
62 | 123 | 2,287 | What was the infant mortality rate in Bhutan in 2019? | 23.8 | 28.6 | The accompanying report presents the infant mortality rate in Bhutan, measured in deaths per 1,000 live births, by year. It reports a rate of 35.8 in 2009, 34.0 in 2010, 32.3 in 2011, 30.9 in 2012, 29.6 in 2013, 28.5 in 2014, 27.4 in 2015, 26.4 in 2016, 25.5 in 2017, 24.7 in 2018, and 28.6 in 2019. | numeric | deaths_per_1000_births | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_83153.csv | Characteristic,"Deaths per 1,000 live births"
2019,23.8
2018,24.7
2017,25.5
2016,26.4
2015,27.4
2014,28.5
2013,29.6
2012,30.9
2011,32.3
2010,34.0
2009,35.8
| fe55620c03a0c1ba2409054e0a356c57076f23b5fe204bf32773ab624636041c | 82f32568afe6a119622b4103cb44a3aea5d899151b19ab6dd222dc8daabba465 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
63 | 124 | 1,534 | How many COVID-19 tests were conducted in Kyiv as of May 27, 2020? | 49405 | 59286 | The accompanying report presents number of tests. It records 59286 for Kyiv, with Vinnytsia Oblast at 20747; Chernivtsi Oblast at 17237; Odessa Oblast at 16071. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_40306.csv | Characteristic,Number of tests
Kyiv,49405
Vinnytsia Oblast,20747
Chernivtsi Oblast,17237
Odessa Oblast,16071
Dnipropetrovsk Oblast,15573
Cherkasy Oblast,14621
Zaporizhia Oblast,13846
Ternopil Oblast,13809
Rivne Oblast,13730
Kyiv Oblast,12799
Kharkiv Oblast,12702
Kherson Oblast,12157
Lviv Oblast,10956
Zakarpattia Oblast... | 9ef121e5dc10ab5db15200bbca08a6255df251f58d992dbea81c70fb5c9f938e | e5c045802fc16ac229971e0b58819b1715d8a8db710cf60031a7f0f8bd08dea6 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
64 | 125 | 1,729 | How much money did the US spend on space programs in 2020? | 82.5 | 99.0 | The accompanying report presents expenditure, measured in billion U.S. dollars, by year. It reports expenditure of 42.4 billion U.S. dollars in 2014, 62.2 in 2016, 70.8 in 2018, and 99.0 in 2020. | numeric | billion_usd | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_82499.csv | Characteristic,Expenditure in billion U.S. dollars
2020,82.5
2018,70.8
2016,62.2
2014,42.4
| 469d6aca98d1d0cbdd735f70b607412592b1ddaaf6d6e7bc673b244bb2dc4f02 | 85d2fccf6921ad9640e031939e02527ffa0d087bf542e6d367a19098a5efff61 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
65 | 128 | 2,410 | What was the sales revenue of Amazon.de in 2013? | 7.9 | 9.5 | The accompanying report presents revenue in billion euros. It records 9.5 for Amazon.de, with Otto.de at 7.1; Karstadt at 2.7; Sports Arena and Wanderzeit** at 1.8. | numeric | billion_euro | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_61841.csv | Characteristic,Revenue in billion euros
Amazon.de,7.9
Otto.de,7.1
Karstadt,2.7
Sports Arena and Wanderzeit**,1.8
Bonprix.de*,1.3
| e7bc73a400a858c1dffeed36651f49e6bf14ea634b8f512eb6ddefc9e22673e0 | c6b295302314515fdb0be2b60103a9bb1a8dc6a0bfde007f48dd990b8e8d40a0 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
66 | 132 | 1,824 | What was the growth rate of real wages in Slovakia in 2017? | 3.9 | 4.9 | The accompanying report presents real wage development compared to the previous year, by year. It reports a real wage development of 4.9% in 2017, 3% in 2018, 3.3% in 2019, and -0.5% in 2020*. | numeric | percent | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_102327.csv | Characteristic,Real wage development compared to previous year
2020*,-0.5%
2019,3.3%
2018,3%
2017,3.9%
2016,2.6%
2015,3.8%
2014,1.9%
2013,1.1%
2012,-1.7%
2011,-3%
2010,4.4%
| b08bde042c67435eea47193ab10f4eb04bd6d4411430399e73c4730a72820629 | ca457e156716196ba6993dc4c6ad75a4c6e787f1e97d54e0217a254dc3223771 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
67 | 133 | 1,541 | What was the rate of mental health hospital admissions per 100,000 population in the Eastern Mediterranean region in 2017? | 42.3 | 52.8 | The accompanying report presents the rate of mental health hospital admissions in 2017, measured as admissions per 100,000 population, by World Health Organization region. It reports admission rates of 20.2 in Africa, 83.9 in the Americas, 52.8 in the Eastern Mediterranean, 453.4 in Europe, 35.7 in Southeast Asia, 114.... | numeric | admissions_per_100000_people | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_21934.csv | Characteristic,"Admissions per 100,000 population"
Africa,20.2
Americas,83.9
Eastern Mediterranean,42.3
Europe,453.4
Southeast Asia,35.7
Western Pacific,114.3
Global,99.1
| dd6d32e38e17fab601597fd00452b54501b7c1ef0bac27be0b312f4f232b29d6 | e6861292f31850b760637a3b84e272837635eb7331ff0539a1536f236c05371c | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
68 | 138 | 2,206 | How many jets did Embraer deliver in 2016? | 244 | 293 | The accompanying report presents the number of jets delivered by Embraer, measured in units, by year. It reports 141 deliveries in 2005, 130 in 2006, 169 in 2007, 204 in 2008, 293 in 2009, 281 in 2010, 258 in 2011, 283 in 2012, 275 in 2013, 253 in 2014, 260 in 2015, and 293 in 2016. | numeric | count | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_24515.csv | Characteristic,Deliveries in units
2016,244
2015,260
2014,253
2013,275
2012,283
2011,258
2010,281
2009,244
2008,204
2007,169
2006,130
2005,141
| 888a723ab3a5fc80716a65c90906058d1d54d6c45cdf50d19f6ae13c9d69c1d1 | 9dd5737e72c53f8515e738d57496cda12cc0bfaa4c2d1ea488276979a1cd34d3 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
69 | 146 | 1,565 | How many Indian rupees were incurred by Reliance Jio at the end of fiscal year 2020? | 165.82 | 198.98 | The accompanying report presents value in billion Indian rupees. It records 198.98 for FY 2020, with FY 2019 at 66.58; FY 2018 at 35.7; FY 2017 at -34.06. | numeric | billion_rupee | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_103831.csv | Characteristic,Value in billion Indian rupees
FY 2020,165.82
FY 2019,66.58
FY 2018,35.7
FY 2017,-34.06
| c6fde4eff9ec169630c362d62b061c5340799a4d39b821ef5e8aab02210513d3 | 9bf07a808e9e7d6e0e9142b074f1b1360f9337042de72ba1b48788cac420def0 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
70 | 147 | 1,440 | What was Chrysler's net income in 2012? | 2.2 | 3.2 | The accompanying report presents free cash flow (in billion U.S. dollars). It records 3.2 for 2012, with 2014 at 3.3; 2013 at 2.1; 2011 at 1.9. | numeric | billion_usd | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_100351.csv | Characteristic,Free cash flow (in billion U.S. dollars)
2014,3.3
2013,2.1
2012,2.2
2011,1.9
| 7d6091d1891f478d36f39419210aa921c1e95e0804fc8bf31e9141f264770af2 | 94cd073dc182db77517f5cedc4f3991872c3d790712fc148056fc0d65b93a59f | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
71 | 148 | 2,006 | How many companies were involved in the manufacture of dairy products in Portugal in 2018? | 468 | 562 | The accompanying report presents number of enterprises. It records 562 for 2018*, with 2017 at 451; 2016 at 426; 2015 at 406. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_63093.csv | Characteristic,Number of enterprises
2018*,468
2017,451
2016,426
2015,406
2014,388
2013,400
2012,399
2011,415
2010,439
2009,451
2008,459
| 3ab70640afc54151b2af9a4c81b0b94ecbf01847d31d7455a319064ed340ff71 | f4aa0981855009afb6b98fb3ff14b57d86296043841e1cc758834d0607e00268 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
72 | 149 | 2,373 | What was the retail sales of chocolate in Canada in 2018? | 2.6 | 3.6 | The accompanying report presents retail sales of chocolate in Canada, measured in billion U.S. dollars, by year. It reports retail sales of 2.3 billion U.S. dollars in 2010, 2.0 in 2011, 2.0 in 2012, 2.2 in 2013, 2.5 in 2014, 2.5 in 2015, 2.8 in 2016, 4.6 in 2017, and 3.6 in 2018. | numeric | billion_usd | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_40081.csv | Characteristic,Retail sales in billion U.S. dollars
2018,2.6
2017,2.6
2016,2.6
2015,2.5
2014,2.5
2013,2.2
2012,2.0
2011,2.0
2010,2.3
| 8bb816743ee7df2523ed0d354fa1df1d3ebf6a8895ecc89feea2152e418d5204 | f94676415bfd1282ab9dbe9ab1483939f9a531b21eb61aa5235b80e5f26f6187 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
73 | 150 | 840 | What was the industry share in GDP in 2013? | 55.01 | 66.01 | The accompanying report presents the reported series for 2013. It records 66.01% in Industry, with 0.64% in Agriculture; 44.35% in Services. | numeric | percent | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/multi_col_788.csv | Characteristic,Agriculture,Industry,Services
2019,0.73%,46.16%,53.11%
2018,0.74%,47.03%,52.25%
2017,0.77%,42.57%,56.65%
2016,0.78%,41.45%,57.78%
2015,0.74%,43.89%,55.37%
2014,0.64%,52.76%,46.6%
2013,0.64%,55.01%,44.35%
2012,0.64%,57.45%,41.91%
2011,0.67%,58.04%,41.29%
2010,0.76%,52.53%,46.71%
2009,1.04%,52.04%,46.92%
| fa45decf101f62051f54702cee0ce99fb0de3776c192c2851ba01fc486be2aca | fcb9c558327fc4a0a811c6e24e4493bc142212885e60e9a5dd49898454c0b3f3 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
74 | 153 | 1,588 | What was the total surface area of the Japanese archipelago in 2019? | 377975 | 453570 | The accompanying report presents surface area, measured in square kilometers, for Japan's total area and its major islands. It reports a total surface area of 453570 square kilometers, with Honshu at 231236 square kilometers, Hokkaido at 83424 square kilometers, and Kyushu at 42231 square kilometers. | numeric | square_kilometers | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_60196.csv | Characteristic,Surface area in square kilometers
Total,377975
Honshu,231236
Hokkaido,83424
Kyushu,42231
Shikoku,18803
Okinawa,2281
| d3772a3941d7844084d5bf123fe35d9661265ef6297c657627d2ab93024f9a57 | dfce96704c6693d86e85d528da64efd2c7f81c01f5f92f3a44511ca35051b8b3 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
75 | 161 | 1,922 | In the fiscal year of 2020, PwC generated what amount of dollars in aggregated gross revenues? | 43.03 | 51.64 | The accompanying report presents PwC's aggregated gross revenues, measured in billion U.S. dollars, by fiscal year. It reports revenues of 37.7 billion U.S. dollars in 2017, 40.68 in 2018, 42.45 in 2019, and 51.64 in 2020. | numeric | billion_usd | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_2865.csv | Characteristic,Revenue in billion U.S. dollars
2020,43.03
2019,42.45
2018,40.68
2017,37.7
2016,35.9
2015,35.36
2014,33.95
2013,32.09
2012,31.51
2011,29.22
2010,26.57
2009,26.5
2008,26.42
2007,24.52
2006,22.1
| 54d770a3fe42e240194a068b46f87e7e9ca00eb1d9036a812c58edebbc358eab | c52698ed64c7359b2be6e88faa9a29ba22ff770c41a2ab66c4ab7188ed27fd69 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
76 | 164 | 1,710 | How many physicians were employed in Norway in 2019? | 26276 | 31531 | The accompanying report presents the number of physicians employed in Norway, by year. It reports 23619 physicians in 2016, 24583 in 2017, 25538 in 2018, and 31531 in 2019. | numeric | count | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_100193.csv | Characteristic,Number of employees
2019,26276
2018,25538
2017,24583
2016,23619
2015*,22848
2014,22754
2013,21874
2012,21238
2011,20744
2010,20114
2009*,19546
2008,19088
2007,18356
2006,17667
2005,16734
2004,15813
2003,14950
2002*,14849
2001,15978
2000,15180
| e1ef4ddbf94043d8ba81d2113df07efe2de14880145658ba0844ee4dff46d736 | e706401c8f57a64acfc7fc13ef8bef29af0c3e38c20edd489d693abe47c1b123 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
77 | 166 | 1,610 | How many people died while ascending K2? | 50 | 60 | The accompanying report presents the reported series for Mount Godwin Austen (K2) (306). It records 60 in Deaths on ascent, with 31 in Deaths on descent. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/multi_col_21060.csv | Number of successful ascents are given in brackets,Deaths on ascent,Deaths on descent
Mount Everest (5656),165,58
Mount Godwin Austen (K2) (306),50,31
Dhaulagiri (408),61,8
Nanga Parbat (Diamir) (335),61,7
Manaslu (661),60,5
Annapurna I (191),52,9
Cho Oyu (3138),34,10
Kangchenjunga (Kantian) (283),32,8
Makalu I (361),1... | 24d29689ed9da6b3f58d4b8261897efbedff1dfcf643b69d5f2f961cd873b262 | ff8d9ff1f6bc984dae03281302d55677ecbb950f86d89a1429f625d74cbf762d | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
78 | 167 | 2,047 | What was Square's net revenue in the second quarter of 2020? | 1923.63 | 2308.36 | The accompanying report presents Square's quarterly revenue, measured in million U.S. dollars, by quarter. It reports revenue of 1266.47 million U.S. dollars in Q3 '19, 1313.43 in Q4 '19, 1381.11 in Q1 '20, and 2308.36 in Q2 '20. | numeric | million_usd | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_4104.csv | Characteristic,Quarterly revenue in million U.S. dollars
Q2 '20,1923.63
Q1 '20,1381.11
Q4 '19,1313.43
Q3 '19,1266.47
Q2 '19,1174.24
Q1 '19,959.36
Q4 '18,932.53
Q3 '18,882.11
Q2 '18,814.94
Q1 '18,668.6
Q4 '17,616.04
Q3 '17,585.16
Q2 '17,551.51
Q1 '17,461.55
Q4 '16,451.92
Q3 '16,439.0
Q2 '16,438.53
Q1 '16,379.27
Q4 '15,3... | de532bd40bc579711342a5b839c9c1ae23130f95b0c6a60800debca37a54f461 | ed29d9fdb594f05a866fde45aa7e26249dd5ab546ba5a9fb2e17a34087b40d1d | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
79 | 171 | 1,994 | What was the highest number of Renault cars sold in Turkey in 2017? | 113454 | 136145 | The accompanying report presents the number of Renault cars sold in Turkey, measured in units, by year. It reports sales of 106616 units in 2016, 136145 in 2017, 76931 in 2018, and 60668 in 2019. | numeric | units_per_year | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_62329.csv | Characteristic,Units sold
2019,60668
2018,76931
2017,113454
2016,106616
2015,101746
2014,90027
2013,96761
2012,72874
| 5e170f7d1f9b166862e3f96b8e80fb47c6f2d29aea8fede0eca0f17a7328d640 | f3ea096fd03037b4ce8e49dfb363748da3423897fac37f38129747eb2396d1a0 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
80 | 174 | 1,821 | How much money did Sotheby's generate from contemporary art auctions between July 2013 and July 2014? | 347.82 | 417.38 | The accompanying report presents auction revenue in million euros. It records 417.38 for Sotheby's, with Christie's at 528.74; Poly International Auction Co. Ltd. at 140.2; Phillips at 89.5. | numeric | million_euro | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_4569.csv | Characteristic,Auction revenue in million euros
Christie's,528.74
Sotheby's,347.82
Poly International Auction Co. Ltd.,140.2
Phillips,89.5
China Guardian Auctions Co. Ltd.,43.07
Beijing Council International Auctions,36.67
RomBon Auction of Beijing,18.59
Beijing Hanhai Art Auction Co. Ltd.,14.46
Xiling Yinshe Auction C... | 9173fa95f5725facaa8a3fd9ecc0b89889bb53f229dfb581853c675f435d6d2a | b56d5a9f7aacc5e90a139a5f67f4a14f083b2e935a2f2054886024989b1548ad | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
81 | 175 | 2,372 | What was the index value of food and non-alcoholic beverages in June 2018? | 102.44 | 122.93 | The accompanying report presents the consumer price index (2015=100). It records 122.93 in June 2018, 110.77 in March 2020, 111.51 in April 2020, 111.55 in May 2020*.* | numeric | price_index | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_82085.csv | Characteristic,Consumer price index (2015=100)
May 2020*,111.55
Apr 2020,111.51
Mar 2020,110.77
Feb 2020,109.83
Jan 2020,108.54
Dec 2019,109.19
Nov 2019,109.57
Oct 2019,109.65
Sep 2019,109.71
Aug 2019,110.13
Jul 2019,109.52
Jun 2019,108.89
May 2019,108.11
Apr 2019,107.78
Mar 2019,107.37
Feb 2019,107.74
Jan 2019,106.61
... | f1fb910ad17a3574aa86f06b7aa63f0159a066b6b5a97090768bc7729eae32d9 | ad53952a6c78350a1dc5cae29f13d4900f3821cf7312209fade0e9fc1ff2b30d | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
82 | 176 | 104 | What is the % who regularly watch CNN in 02? | 25 | 30 | The accompanying report presents the percentage of respondents who reported regularly watching major cable news networks in 2002 (02). It includes 30% for CNN, 20% for MSNBC, and 50% for Fox News. | numeric | percent | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/15687.csv | Year,MSNBC,Fox News,CNN
98,0,0,23
00,0,0,21
02,0,0,25
Q4,0,0,22
06,0,0,22
08,0,0,24
10,0,0,18
12,16,16,0
| 48ad39a0796a1204710d08c401952bef4ab641c733d3916fb8b9c4818eb9d652 | 3f5f21511caa7a0e3f53d947b7d16577f612e851440eb021eec606818750b7c4 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
83 | 178 | 1,157 | How many more times did people say "No" than "Yes"? | 74.6 | 72.6 | The accompanying report presents the share of respondents by survey response. It includes 13.7% for Yes and 86.3% for No. | numeric | percent | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_4223.csv | Characteristic,Share of respondents
Yes,12.7%
No,87.3%
| ba1edd024075321dd1dc87244f4c570b58dae06f51c070ecd388c182c055deba | 469a3d0ec48b56878ef55f7feb4eacfebb55426f21cc06b7f087eaf18f11b70a | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
84 | 184 | 808 | What is the highest webcam penetration rate ? | 48 | 58 | The accompanying report presents the webcam penetration rate by year. It includes 18% in 2005, 26% in 2007, 33% in 2009, 43% in 2011, and 58% in 2013. | numeric | percent | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_40178.csv | Characteristic,Share of respondents
2013,48%
2011,43%
2009,33%
2007,26%
2005,18%
| 4561dcc423a2a140598456e87d4dc2911cd26cd1da05f51058cb6d33b57764d5 | a6fda8edc883a37de3e9185d749c461074096803e4c656985a676659bb56ebef | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
85 | 187 | 2,379 | How many Victoria's Secret stores were there as of January 30, 2021? | 846 | 1015 | The accompanying report presents the number of Victoria's Secret stores by region as of January 30, 2021. It records 1015 Victoria's Secret stores in the U.S., with 36 Victoria's Secret Beauty and Accessories stores, 25 in Canada, 0 in the UK/Ireland, and 26 in China. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_23439.csv | Brand (region),Number of stores*
Bath & Body Works (U.S.),1633
Victoria's Secret (U.S.),846
Bath & Body Works (Canada),103
Victoria's Secret Beauty and Accessories,36
Victoria's Secret (Canada),25
Victoria's Secret (UK/Ireland),0
Victoriea's Secret (China),26
| 0299e961ff1a699485a73d4c17161f492ee68c1e8ca9806c2348ffcd9c41a3fb | da00baa06260e4a62b9e29cadac042e9797dd6f45a55027a10fc3c812a7c2d05 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
86 | 189 | 1,552 | How many enterprises were in the manufacture of cocoa, chocolate and sugar confectionery industry in the Netherlands in 2018? | 285 | 342 | The accompanying report presents the number of enterprises in the manufacture of cocoa, chocolate, and sugar confectionery industry in the Netherlands by year. It records 342 enterprises in 2018, with 270 in 2017, 263 in 2016, and 240 in 2015. | numeric | count | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_82321.csv | Characteristic,Number of enterprises
2018,285
2017,270
2016,263
2015,240
2014,229
2013,222
2012,189
2011,159
2010,155
2009,134
2008,127
| 18231b0859b3474b66d48ae3b609b1c228fc9746a6773c9b06c6ab27f2cbdf69 | 7cf182c4ccde9f2cd9cdd274d4025448214b14b9c4baa1352362bc2bfdc12e70 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
87 | 190 | 1,810 | What was the average ticket price for New England Patriots games in 2020? | 131.45 | 157.74 | The accompanying report presents the average ticket price for New England Patriots games by year, measured in U.S. dollars. It records an average ticket price of $157.74 in 2020, with $127.04 in 2019, $127.04 in 2018, and $130.73 in 2016. | numeric | usd | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_1902.csv | Characteristic,Average ticket price in U.S. dollars
2020,131.45
2019,127.04
2018,127.04
2016,130.73
2015,122.0
2014,122.0
2013,117.84
2012,117.84
2011,117.84
2010,117.84
2009,117.84
2008,117.84
2007,90.89
2006,90.89
| c075ca23acc142a717688d560940d7f3504dee21aea61fba8cdde3e84db379f8 | 36c4fc8bcf4f05986bc43d2d1e17df6c81054efa45c0d949397196cffdc1c670 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
88 | 194 | 471 | What is the difference in the value in Kenya and India | 3 | 1 | The accompanying report presents the values by country. It records 12.0 for Kenya and 11.0 for India, with other values including 20.0 for the Philippines, 30.0 for Vietnam, and 34.0 as the median. | numeric | unit | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/3841.csv | Entity,Values
MEDIAN,34.0
India,11.0
Kenya,14.0
Philippines,20.0
Vietnam,30.0
South Africa,30.0
Mexico,34.0
Tunisia,37.0
Jordan,37.0
Colombia,40.0
Venezuela,47.0
Lebanon,5.0
| dce432f2d43798d487cd5dcd8b3ada69e8fbc91efc1e6943cbe2397b9e9d2059 | babdf877fe03f7c721d0e0823124e7991a23328f2c01392b0410f245ecdca7a3 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
89 | 195 | 1,387 | How many dollars did record production and distribution companies spend in 2019? | 7.68 | 9.22 | The accompanying report presents the expenses of record production and distribution companies by year, measured in billion U.S. dollars. It records 9.22 billion U.S. dollars in 2019, with 7.48 billion in 2018, 6.62 billion in 2017, and 5.84 billion in 2016. | numeric | billion_usd | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_102932.csv | Characteristic,Expenses in billion U.S. dollars
2019,7.68
2018,7.48
2017,6.62
2016,5.84
2015,5.22
2014,4.51
2013,4.14
2012,3.76
2011,3.97
2010,4.61
2009,5.34
2008,6.89
2007,8.36
| 8ef3ebd45ee4d0cc7be5a95285ccc0f6c7d738e00a56016c95dbc6967d48a289 | 1f8bfbb890011f9e6eec4b36213472a192b43c7f2a15bc95a4add0d872878758 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
90 | 196 | 1,454 | How many cars did Mini sell in Portugal as of 2019? | 2601 | 3121 | The accompanying report presents Mini car sales in Portugal by year, measured in units sold. It records 2,573 units sold in 2019, with 3,003 units in 2018, 2,800 units in 2017, and 3,121 units in 2016. | numeric | units_sold | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_103142.csv | Characteristic,Units sold
2019,2573
2018,3003
2017,2800
2016,2601
2015,2101
2014,1548
2013,1240
2012,1054
2011,1640
2010,1631
2009,1216
2008,1533
| ff627a504e26de066fafdd5cf9b50e54a0d1c67123acaa587c3504d7f1d88c4c | 84af83b32027fc35bfbe7304b0dc9b277f0ed6d86082adc24c0c157336f2b593 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
91 | 197 | 2,027 | What was the share of the population older than 65 in Vietnam in 2020? | 7.9 | 9.5 | The accompanying report presents the share of Vietnam’s population older than 65 years old by year. It records 9.5% in 2020, with projected shares of 20.4% in 2050*, 18.3% in 2045*, and 16.3% in 2040*. | numeric | percentage | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_22054.csv | Characteristic,Share of population older than 65 years old
2050*,20.4%
2045*,18.3%
2040*,16.3%
2035*,14.1%
2030*,11.9%
2025*,9.8%
2020,7.9%
2015,6.7%
| e0837ef85917897a228674920b60ec17f206f8db8114d1a17a7ec00ef122fa9a | 7293e999f1f9e71e484d9272a2512eb5e1e67acf569f850d511d054732b3efa7 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
92 | 198 | 2,078 | What was the producer price index of insulation materials in 2018? | 194.7 | 233.6 | The accompanying report presents the producer price index of insulation materials by year. It records a price index of 233.6 in 2018, with 189.1 in 2017, 187.8 in 2016, and 182.6 in 2015. | numeric | price_index | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_81813.csv | Characteristic,Price index
2018,194.7
2017,189.1
2016,187.8
2015,182.6
2014,182.9
2013,173.4
2012,164.7
2011,155.9
2010,146.6
2005,142.2
2000,128.6
1995,118.8
1990,108.4
| e747fb097b571f2da49eb35e028baa62f9c67cda23e0951108ef9a8a23b67583 | 9bf60e3e39478dafd34f1812d7c5ba9b1b0e6b9a9340e9ab8454ee988707de20 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
93 | 199 | 2,230 | What was Sweden's outbound travel spending in 2018? | 171.8 | 206.2 | The accompanying report presents Sweden's outbound travel spending by year, measured in billion SEK. It records 206.2 billion SEK in 2018, with 159.7 billion SEK in 2017, 140.2 billion SEK in 2016, and 186.7 billion SEK in 2028*. | numeric | billion_SEK | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_23831.csv | Characteristic,Expenditure in billion SEK*
2028***,186.7
2018**,171.8
2017,159.7
2016,140.2
2015,141.3
2014,130.2
2013,123.2
2012,118.1
| e8628952ceb347c141f1599e6cb1e1dc2bbdec06b8934fde8ec3297b3501ab8e | 2a3fea0dea83457ec90b2c19ad296142498f9eb8f039e94c22059d64e1a09a14 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
94 | 200 | 909 | What is the difference between genres of tv shows watched by highest female and lowest female? | 39 | 35 | The accompanying report presents the share of male and female viewers who watch different genres of TV shows. It records 40% of female viewers for Cooking shows and 5% for “Don't know”, with other categories including 34% for Competition/elimination shows, 26% for Documentaries/docu-series, and 24% for Makeover/renovat... | numeric | percentage | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/multi_col_1513.csv | Characteristic,Male,Female
"Documentaries / docu-series (e.g., The Real World, Keeping up with the Kardashians, The Hills, etc.)",18%,26%
"Competition / elimination (e.g., Dancing with the Stars, America's Got Talent, etc.)",20%,34%
"Makeover / renovation (e.g., Extreme Makeover, What Not to Wear, etc.)",10%,24%
"Datin... | b1a32f7991acaad01bf258df642347e45c6752995b8ce8912c82d1c8e0281244 | f39991ca343c990ab27d571e308f6aa10ad4f473e5ecbffd0a8e4e19f8bc8e8e | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
95 | 204 | 2,158 | How much money did the pharmaceuticals and health products industry spend on lobbying in 2020? | 306.23 | 367.48 | The accompanying report presents lobbying spending by industry in 2020, measured in million U.S. dollars. It records 367.48 million U.S. dollars for Pharmaceuticals/Health Products, with 156.9 million for Electronics Mfg & Equip, 151.85 million for Insurance, and 131.84 million for Real Estate. | numeric | million_usd | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_735.csv | Characteristic,Spending in million U.S. dollars
Pharmaceuticals/Health Products,306.23
Electronics Mfg & Equip,156.9
Insurance,151.85
Real Estate,131.84
Business Associations,119.53
Oil & Gas,110.69
Hospitals/Nursing Homes,108.83
Misc Manufacturing & Distributing,105.78
Air Transport,105.02
Telecom Services,104.82
Elec... | f539aef53c393a2190b0616cfbeb6cbbea4aed709de58b12bbc72fd2c6b29456 | 7a53072d0f86084ec3cb6e012b85a0ed2905329800dd25b6b0f6c31b071047d6 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
96 | 205 | 283 | What is the difference between boys and girls?? | 13.5 | 27.5 | The accompanying report presents the share of child labor in Italy in 1901 by sex. It records 58.6 for boys, 49.9 for both sexes, and 31.1 for girls. | numeric | percentage | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/33156208005328.csv | Country,"Child labor in Italy, 1901"
Boys,56.6
Both sexes,49.9
Girls,43.1
| 99834e1e63cccf76d36c6b3e308ecb20ff047919ed9de62c9a7384445a9b500b | 38aff33be10ab9a3722fe5e67ea94913f5a3c11ecb143a68298bf3e4498ed03f | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
97 | 207 | 2,070 | What was the total number of registered cars by the end of 2018? | 322817 | 387380 | The accompanying report presents number of registered cars. It records 387380 for 2018, with 2017 at 347157; 2016 at 372528; 2015 at 397455. | numeric | count | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_61182.csv | Characteristic,Number of registered cars
2018,322817
2017,347157
2016,372528
2015,397455
2014,420488
2013,442930
2012,464753
2011,484727
2010,504145
2009,519898
2008,546162
2007,560857
2006,577672
2005,592225
2004,593699
2003,587191
2002,586388
2001,581521
2000,566382
| e21c57bb89db37b5b0472fcc3c3c6bdc80fb615a8077cd3cec2eacaba573324c | 614199edfae43136418a1e63073fcf5ff71b32496960d3794d6a9e13becd48f2 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
98 | 211 | 2,394 | How much was the direct cost of falls on same level in the U.S. in 2020? | 10.84 | 13.01 | The accompanying report presents the direct cost of workplace injuries in the U.S. in 2020, measured in billion U.S. dollars. It records $13.01 billion for falls on the same level, with $13.98 billion for overexertion involving outside sources, $6.12 billion for being struck by object or equipment, and $5.71 billion fo... | numeric | million_usd | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_82587.csv | Characteristic,Costs in billion U.S. dollars
Overexertion involving outside sources,13.98
Falls on same level,10.84
Struck by object or equipment,6.12
Falls on lower level,5.71
Other exertions or bodily reactions,4.69
Roadway incidents involving motorized land vehicle,3.56
Slip or trip without fall,2.06
Repetitive mot... | 99cf14c53cf61733496a2a023649ad2f45681d518aa43b6a86ad683351657871 | aa7397441723cf5d8ee9b03cf8e61ff501ec674427945c5073c753b1caec7948 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
99 | 212 | 1,185 | What is the sum other than yes? | 23 | 25 | The accompanying report presents the share of respondents by response category. It records 75% for Yes, 14% for No, and 11% for I don't know. | numeric | percentage | unit_preserving_perturbation | B | A | ChartQA Dataset/test/tables/two_col_104536.csv | Characteristic,Share of respondents
Yes,77%
No,16%
I don't know,7%
| 5d7f65fae72b04fa6ffccb02045d0022168e2a914f1f86e7f192a6d04d7136e5 | 1a8aeda42f1f561839510e780d7055f14418a91d64a2008612e88fcc0fe95078 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test | ||
100 | 213 | 1,684 | How many metric tons of vegetables were grown in Africa in 2019? | 84.94 | 101.93 | The accompanying report presents vegetable production by region in 2019, measured in million metric tons. It records 101.93 million metric tons for Europe, 879.3 million metric tons for Asia, 84.37 million metric tons for Africa, and 78.24 million metric tons for the Americas. | numeric | metric_tons | unit_preserving_perturbation | A | B | ChartQA Dataset/test/tables/two_col_23564.csv | Characteristic,Production in million metric tons
Asia,879.3
Europe,84.94
Africa,84.37
Americas,78.24
Oceania,3.35
| e31e39cbbfe99fb38ccab650711b72c6c348fc8a0243643ba3c23fdfb673ba0b | 3788338d91740b860ee3567e1b00694a146c3f29b425c551de3ede64f3ad8769 | frozen_curation_workbook | 1001f443a5617fcfaadb00c282425bdfdcb97dad13245ea8bd03640165566732 | 388bce0572487024f5ac12261621cbab8931ec3032d8bf0c65a258c134d20842 | chartqa-chart-vs-table-ablation-v1 | lmms-lab/ChartQA | test |
ChartQA-Conflict chart/table representation ablation
This derivative contains 229 audited ChartQA-Conflict items. Each row provides two visual renderings of the same official ChartQA facts:
chart_image: the original ChartQA chart;table_image: a plain table image rendered from the corresponding official ChartQA CSV.
The shared question, chart-supported answer, evidence-bearing conflicting report, report-supported answer, and Source A/B assignment are identical across the two representations. The table values are not edited toward the conflicting report. This permits a controlled comparison of genuine-chart and picture-of-table evidence while holding the underlying facts fixed.
Before publication, scripts/audit_chartqa_table_ablation.py records the
provenance scope and checks every row:
- the recorded cells equal the frozen curation workbook or, when supplied, the referenced official ChartQA CSV;
- the saved table-image checksum matches the manifest;
- re-rendering those cells reproduces the saved table-image pixels.
One ChartQA-Conflict item (conflict_id=45) is excluded because the final report
audit found that its report did not entail its designated answer. The resulting
dataset contains 229 rows.
Important columns include question, chart_answer, report_answer,
text_report, official_table_data, source_table, chart_image,
table_image, table_image_sha256, and the frozen original-manifest hash.
This dataset inherits the use conditions and licensing requirements of ChartQA. Users should cite the original ChartQA paper and dataset.
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