MMTU-benchmark/MMTU huggingface dataset:
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
|   rank by average |   place | couple           |   total points |   number of dances |   average |
|------------------:|--------:|:-----------------|---------------:|-------------------:|----------:|
|                 1 |       1 | brooke & derek   |            433 |                 16 |      27.1 |
|                 2 |       2 | warren & kym     |            397 |                 16 |      24.8 |
|                 3 |       3 | lance & lacey    |            392 |                 16 |      24.5 |
|                 4 |       5 | maurice & cheryl |            252 |                 11 |      22.9 |
|                 5 |       4 | cody & julianne  |            292 |                 13 |      22.5 |
|                 6 |       8 | toni b & alec    |            134 |                  6 |      22.3 |
|                 7 |       6 | susan & tony d   |            192 |                  9 |      21.3 |
|                 8 |      10 | misty & maksim   |             63 |                  3 |      21   |
|                 9 |      12 | ted & inna       |             37 |                  2 |      18.5 |
|                10 |      11 | kim k & mark     |             54 |                  3 |      18   |
|                11 |       9 | rocco & karina   |             89 |                  5 |      17.8 |
|                12 |       7 | cloris & corky   |            121 |                  7 |      17.3 |

Question:
In the context of dance competitions, the "Dance Efficiency" metric is defined as the total points earned by a couple divided by the number of dances they performed. Based on this definition, which couple has the highest Dance Efficiency in this competition?


id: 8cf0ed38375271dc4e7e1b2c750a206f
qtype: NumericalReasoning
label: brooke & derek
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| place                         |   code |   area (km 2 ) |   population | most spoken language   |
|:------------------------------|-------:|---------------:|-------------:|:-----------------------|
| abantungwa / kholwa           |  51401 |         245.25 |        57273 | zulu                   |
| colenso                       |  51402 |           4.9  |         4476 | zulu                   |
| ezakheni                      |  51404 |          39    |        59943 | zulu                   |
| kliprivier nu                 |  51406 |           2.8  |          381 | zulu                   |
| kliprivier                    |  51405 |         107.21 |        27696 | zulu                   |
| ladysmith                     |  51407 |          91.97 |        41425 | zulu                   |
| mchunu                        |  51408 |          34.42 |         2301 | zulu                   |
| mthembu                       |  51409 |          80.7  |         6920 | zulu                   |
| mvelani                       |  51410 |           2.43 |        11898 | zulu                   |
| nkankezi                      |  51411 |           4.86 |          824 | zulu                   |
| remainder of the municipality |  51403 |        2350.72 |        12316 | zulu                   |

Question:
How much larger is the area of the "remainder of the municipality" compared to the area of "ladysmith"?


id: 29c36dbc873ed833d3fdc8c19375453b
qtype: NumericalReasoning
label: 2258.75
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| manager          | years         |   games |   wins |   losses |
|:-----------------|:--------------|--------:|-------:|---------:|
| chuck goggin     | 1978          |     141 |     64 |       77 |
| george scherger  | 1979          |     144 |     83 |       61 |
| stump merrill    | 1980 - 1981   |     286 |    178 |      108 |
| johnny oates     | 1982          |     144 |     77 |       67 |
| doug holmquist   | 1983          |     146 |     88 |       58 |
| jim marshall     | 1984          |     147 |     74 |       73 |
| lee walls        | 1985          |       7 |      3 |        4 |
| leon roberts     | 1985          |       7 |      2 |        5 |
| gordon mackenzie | 1985          |     127 |     66 |       61 |
| leon roberts     | 1986          |     142 |     68 |       74 |
| jack lind        | 1987 - 1988   |     217 |    102 |      115 |
| wayne garland    | 1988          |       3 |      1 |        2 |
| george scherger  | 1988          |       1 |      0 |        1 |
| jim hoff         | 1988          |      22 |     12 |       10 |
| frank lucchesi   | 1988 - 1989   |     185 |     96 |       89 |
| pete mackanin    | 1990 - 1992   |     366 |    186 |      180 |
| dave miley       | 1992          |      68 |     32 |       36 |
| rick renick      | 1993 - 1996   |     575 |    309 |      266 |
| tom spencer      | 1997          |     143 |     74 |       69 |
| trent jewett     | 1998 - 2000   |     339 |    176 |      163 |
| richie hebner    | 2000          |      85 |     34 |       51 |
| marty brown      | 2001 - 2002   |     284 |    136 |      148 |
| trent jewett     | 2003 - 2004   |     285 |    144 |      141 |
| frank kremblas   | 2005 - 2008   |     572 |    299 |      273 |
| don money        | 2009 - 2011   |     432 |    223 |      209 |
| mike guerrero    | 2012 - 2013   |     288 |    124 |      164 |
| darnell coles    | 2014 - beyond |       0 |      0 |        0 |
| totals           | totals        |    5157 |   2651 |     2506 |

Question:
Which manager had the highest winning percentage (wins/games) in their tenure?


id: f2b0448d8f1a65a43b44bd17198bf0ea
qtype: NumericalReasoning
label: stump merrill
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| commodity         |   2001 - 02 |   2002 - 03 |   2003 - 04 |   2004 - 05 |   2005 - 06 |   2006 - 07 |
|:------------------|------------:|------------:|------------:|------------:|------------:|------------:|
| cattle and calves |        6617 |        5849 |        6345 |        7331 |        7082 |        6517 |
| wheat             |        6356 |        2692 |        5636 |        4320 |        5905 |        6026 |
| milk              |        3717 |        2795 |        2808 |        3194 |        3268 |        3245 |
| fruit and nuts    |        2333 |        2408 |        2350 |        2640 |        2795 |        2915 |
| s vegetable       |        2269 |        2126 |        2356 |        2490 |        2601 |        2715 |
| wool              |        2713 |        3318 |        2397 |        2196 |        2187 |        2138 |
| barley            |        1725 |         984 |        1750 |        1240 |        1744 |        1624 |
| poultry           |        1175 |        1273 |        1264 |        1358 |        1416 |        1461 |
| s lamb            |        1181 |        1161 |        1318 |        1327 |        1425 |        1348 |
| sugar cane        |         989 |        1019 |         854 |         968 |        1037 |        1208 |

Question:
What is the average value of wheat production from 2002-03 to 2005-06?


id: 8b7282ee8b62b7081c34cb52912ccc40
qtype: NumericalReasoning
label: 4638.25
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
|   year |   property taxes |   investment earnings |   other local sources |   state & federal |   total revenue |
|-------:|-----------------:|----------------------:|----------------------:|------------------:|----------------:|
|   2005 |      2.43849e+07 |      255041           |           2.67006e+06 |       1.3582e+07  |     4.08917e+07 |
|   2004 |      2.10992e+07 |      181103           |           2.62413e+06 |       1.39992e+07 |     3.79036e+07 |
|   2003 |      1.71992e+07 |      509862           |           2.30909e+06 |       1.27949e+07 |     3.25396e+07 |
|   2002 |      1.43592e+07 |      879398           |           2.1681e+06  |       1.51329e+07 |     3.25396e+07 |
|   2001 |      1.16312e+07 |           1.94988e+06 |           1.98744e+06 |       1.29295e+07 |     2.8498e+07  |
|   2000 |      1.06087e+07 |      493839           |           2.12748e+06 |       8.54956e+06 |     2.17796e+07 |

Question:
In which year did the entity experience the largest difference between 'property taxes' and 'investment earnings'?


id: 7185f1c04eafa4e732031ebb4258d7bf
qtype: NumericalReasoning
label: 2005
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| name                                        |   martyred | place   |   beatified |   canonised |
|:--------------------------------------------|-----------:|:--------|------------:|------------:|
| laurent - marie - joseph imbert / st imbert |       1839 | korea   |        1925 |        1984 |
| jacques - honorã chastan / st chastan       |       1839 | korea   |        1925 |        1984 |
| philip minh van doan / st philip minh       |       1853 | annam   |        1900 |        1988 |
| peter quy cong doan / st peter quy          |       1859 | annam   |        1909 |        1988 |
| paul loc le van / st paul loc               |       1859 | annam   |        1909 |        1988 |
| john hoan trinh doan / st john hoan         |       1861 | annam   |        1909 |        1988 |
| joseph luu van nguyen / st joseph luu       |       1861 | annam   |        1909 |        1988 |

Question:
How many saints were martyred in the 19th century?


id: 50ba63ef02d5f99c08b8a106602b0d30
qtype: NumericalReasoning
label: 7
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
|   SR No. |   BR No. | Date Built     | Date Withdrawn   |
|---------:|---------:|:---------------|:-----------------|
|      530 |    30530 | January 1938   | December 1964    |
|      531 |    30531 | June 1938      | July 1964        |
|      532 |    30532 | June 1938      | January 1964     |
|      533 |    30533 | July 1938      | March 1963       |
|      534 |    30534 | August 1938    | December 1962    |
|      535 |    30535 | September 1938 | April 1965       |
|      536 |    30536 | October 1938   | January 1964     |
|      537 |    30537 | October 1938   | December 1962    |
|      538 |    30538 | November 1938  | July 1963        |
|      539 |    30539 | December 1938  | January 1963     |
|      540 |    30540 | December 1938  | November 1962    |
|      541 |    30541 | January 1939   | November 1964    |
|      542 |    30542 | February 1939  | December 1964    |
|      543 |    30543 | March 1939     | December 1964    |
|      544 |    30544 | April 1939     | January 1964     |
|      545 |    30545 | June 1939      | May 1965         |
|      546 |    30546 | June 1939      | May 1964         |
|      547 |    30547 | July 1939      | January 1964     |
|      548 |    30548 | August 1939    | March 1965       |
|      549 |    30549 | September 1939 | July 1963        |

Question:
What is the maximum number of years that a locomotive built in 1938 could have been in service, assuming it was withdrawn in the latest possible year?


id: b68a92a9b123ed32ddae96e5ab1e3428
qtype: NumericalReasoning
label: 27
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| 2nd component   |   bp 2nd comp (˚c) | 3rd component    |   bp 3rd comp (˚c) |   bp azeo (˚c) |
|:----------------|-------------------:|:-----------------|-------------------:|---------------:|
| acetone         |               56.5 | chloroform       |               61.2 |           57.5 |
| acetone         |               56.5 | methyl acetate   |               57   |           53.7 |
| acetone         |               56.5 | cyclohexane      |               81.4 |           51.5 |
| methyl acetate  |               57.1 | carbon disulfide |               46.2 |           37   |
| methyl acetate  |               57.1 | cyclohexane      |               81.4 |           50.8 |
| methyl acetate  |               57.1 | n - hexane       |               69   |           45   |

Question:
Which pair of components has the smallest difference in boiling points, and what is the difference in boiling points between them?


id: 07561345f16f0a0105f6c35245a33753
qtype: NumericalReasoning
label: Acetone and Methyl Acetate，0.5°C.
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
|   draw | singer                          | song                             |   points |   place |
|-------:|:--------------------------------|:---------------------------------|---------:|--------:|
|      1 | manjola nallbani                | kjo botë merr frymë nga dashuria |       27 |       7 |
|      2 | produkt 28                      | 30 sekonda                       |        3 |      15 |
|      3 | eneida tarifa                   | e para letër                     |       11 |      10 |
|      4 | mariza ikonomi                  | mall i tretur                    |       20 |       9 |
|      5 | greta koçi                      | natën të kërkova                 |       35 |       6 |
|      6 | flaka krelani & doruntina disha | jeta kërkon dashuri              |       57 |       2 |
|      7 | mira konçi & redon makashi      | nën një qiell                    |       37 |       5 |
|      8 | kthjellu                        | dhoma                            |        9 |      11 |
|      9 | kozma dushi                     | tatuazh në kujtesë               |        1 |      16 |
|     10 | devis xherahu                   | endacaku                         |        0 |      17 |
|     11 | teuta kurti                     | qyteti i dashurisë               |        3 |      14 |
|     12 | samanta karavello               | pse u harrua dashuria            |       23 |       8 |
|     13 | juliana pasha                   | një qiell të ri                  |       54 |       3 |
|     14 | agim poshka                     | kujt i them të dua               |        8 |      12 |
|     15 | jonida maliqi                   | s'ka fajtor në dashuri           |       36 |       4 |
|     16 | olta boka                       | zemrën e lamë peng               |       67 |       1 |
|     17 | rosela gjylbegu                 | po lind një yll                  |        8 |      13 |

Question:
How many more points did the singer with the highest 'points' score receive than the singer with the 5th highest 'points' score?


id: 5269641b7bf357e871bba95905bcca7b
qtype: NumericalReasoning
label: 31
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
|   Season |   Episodes | Season Premiere   | Season Finale     |
|---------:|-----------:|:------------------|:------------------|
|        1 |         20 | March 4, 2006     | May 13, 2006      |
|        2 |         52 | October 7, 2006   | July 16, 2007     |
|        3 |         44 | October 15, 2007  | June 2, 2008      |
|        4 |         48 | October 13, 2008  | May 11, 2009      |
|        5 |         40 | October 12, 2009  | June 14, 2010     |
|        6 |         20 | September 6, 2010 | December 6, 2010  |
|        7 |          8 | October 29, 2013  | December 17, 2013 |

Question:
How many episodes were there in total across Seasons 1, 2, and 3?


id: d30106ae342799d7eb4975e6b88790d0
qtype: NumericalReasoning
label: 116
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| year   |   matches |   wins |   losses |   no result |   tied | success rate   |
|:-------|----------:|-------:|---------:|------------:|-------:|:---------------|
| 2008   |        16 |      9 |        7 |           0 |      0 | 56.25%         |
| 2009   |        15 |      8 |        6 |           1 |      0 | 53.33%         |
| 2010   |        16 |      9 |        7 |           0 |      0 | 56.25%         |
| 2011   |        16 |     11 |        5 |           0 |      0 | 68.75%         |
| 2012   |        19 |     19 |       11 |           8 |      0 | 52.63%         |
| 2013   |        18 |     12 |        6 |           0 |      0 | 66.67%         |
| total  |        99 |     59 |       39 |           1 |      0 | 60.2%          |

Question:
What is the total number of wins in 2008 and 2009?


id: 8342f8f88ce2399ca4bc693cecf7efb4
qtype: NumericalReasoning
label: 17
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
|   Season |   Episodes | Season Premiere   | Season Finale     |
|---------:|-----------:|:------------------|:------------------|
|        1 |         20 | March 4, 2006     | May 13, 2006      |
|        2 |         52 | October 7, 2006   | July 16, 2007     |
|        3 |         44 | October 15, 2007  | June 2, 2008      |
|        4 |         48 | October 13, 2008  | May 11, 2009      |
|        5 |         40 | October 12, 2009  | June 14, 2010     |
|        6 |         20 | September 6, 2010 | December 6, 2010  |
|        7 |          8 | October 29, 2013  | December 17, 2013 |

Question:
What is the average number of episodes per season for seasons that have at least 40 episodes, and premiered between October and December?


id: 42761f0622ad3513894ab3472e8982bf
qtype: NumericalReasoning
label: 46
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
|   year of marriage | name                  |   her age |   his age |   of children |
|-------------------:|:----------------------|----------:|----------:|--------------:|
|               1835 | louisa maria tanner   |        17 |        22 |             8 |
|               1843 | diontha walker        |        27 |        30 |             0 |
|               1844 | caroline partridge    |        17 |        31 |             6 |
|               1846 | eliza maria partridge |        23 |        33 |             5 |
|               1846 | paulina eliza phelps  |        19 |        33 |             7 |
|               1846 | priscilla turley      |        17 |        33 |             6 |
|               1846 | cornelia leavitt      |        21 |        33 |             2 |
|               1853 | lydia partridge       |        23 |        40 |             4 |

Question:
What is the total number of children among all the marriages that took place in 1846?


id: 6f0c7a01a5ffb8e87c006f7416fbd895
qtype: NumericalReasoning
label: 20
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
|   rank | name                                          | height ft / m   |   floors |   year |
|-------:|:----------------------------------------------|:----------------|---------:|-------:|
|      1 | xerox tower                                   | 443 / 135       |       30 |   1968 |
|      2 | bausch & lomb place                           | 401 / 122       |       20 |   1995 |
|      3 | chase tower                                   | 392 / 119       |       27 |   1973 |
|      4 | kodak tower                                   | 360 / 110       |       19 |   1914 |
|      5 | first federal plaza                           | 309 / 94        |       21 |   1976 |
|      6 | one hsbc plaza                                | 284 / 87        |       21 |   1970 |
|      7 | hyatt regency hotel                           | 271 / 83        |       25 |   1990 |
|      8 | times square building                         | 260 / 79        |       14 |   1930 |
|      9 | midtown tower                                 | 251 / 77        |       18 |   1962 |
|     10 | saint michael 's church                       | 246 / 75        |        1 |   1890 |
|     11 | temple building                               | 218 / 66        |       14 |   1925 |
|     12 | crossroads building                           | 215 / 66        |       15 |   1969 |
|     13 | eastman school of music student living center | 213 / 65        |       14 |   1990 |
|     14 | seneca towers apartments                      | 212 / 65        |       22 |   1968 |
|     15 | sibley center                                 | 203 / 62        |       12 |   1926 |
|     16 | clinton square building                       | 200 / 61        |       14 |   1990 |

Question:
What is the average number of floors in buildings constructed between 1960 and 1980?


id: 2cc3663accdc89ab60ba15c630072e4b
qtype: NumericalReasoning
label: 22
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| Rank   | Nation             |   Gold |   Silver |   Bronze |   Total |
|:-------|:-------------------|-------:|---------:|---------:|--------:|
| 1      | Venezuela          |      9 |        8 |        6 |      23 |
| 2      | Guatemala          |      6 |        6 |        6 |      18 |
| 3      | Peru               |      5 |        8 |        9 |      22 |
| 4      | Chile              |      4 |        4 |        1 |       9 |
| 5      | El Salvador        |      4 |        0 |        2 |       6 |
| 6      | Ecuador            |      2 |        5 |        1 |       8 |
| 7      | Bolivia            |      2 |        1 |        2 |       5 |
| 8      | Dominican Republic |      1 |        0 |        2 |       3 |
| 9      | Colombia           |      0 |        1 |        3 |       4 |
| Total  | Total              |     33 |       33 |       32 |      98 |

Question:
Which nation has 4 gold medals and is ranked 4th in the table?


id: 04b30155112a315590a58ffe5fcd4a0b
qtype: FactChecking
label: Chile
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
|   Year | Single                              | US Chart position   | Label   |   Catalogue No. |
|-------:|:------------------------------------|:--------------------|:--------|----------------:|
|   1942 | "Cow-Cow Boogie"                    | 9                   | Capitol |             102 |
|   1942 | "Mr. Five by Five"                  | 10                  | Capitol |             115 |
|   1943 | "Get On Board Little Chillun"       | 17 (R&B)            | Capitol |             133 |
|   1943 | "Shoo Shoo Baby"                    | 4                   | Capitol |             143 |
|   1944 | "No Love, No Nothin’"               | 4                   | Capitol |             143 |
|   1944 | "Tess' Torch Song"                  | 11                  | Capitol |             151 |
|   1944 | "Milkman, Keep Those Bottles Quiet" | 7                   | Capitol |             151 |
|   1944 | "The Patty Cake Man"                | 10                  | Capitol |             163 |
|   1945 | "Captain Kidd"                      | 17                  | Capitol |             193 |
|   1946 | "Buzz Me"                           | 15                  | Capitol |             226 |
|   1946 | "The House of Blue Lights"          | 8 (R&B)             | Capitol |             251 |
|   1952 | "The Blacksmith Blues"              | 3                   | Capitol |            1922 |
|   1952 | "Oakie Boogie"                      | 23                  | Capitol |            2072 |
|   1953 | "40 Cups of Coffee"                 | 26                  | Capitol |            2539 |

Question:
What is the average US Chart position of the songs released in 1944?


id: 11350d07a1d5ec9d9456ad95693e2072
qtype: NumericalReasoning
label: 8
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
|   year | theme               | artist      | composition           |   mintage |   issue price |
|-------:|:--------------------|:------------|:----------------------|----------:|--------------:|
|   2000 | year of the dragon  | harvey chan | 75% gold , 25% silver |      8874 |        388.88 |
|   2001 | year of the snake   | harvey chan | 75% gold , 25% silver |      6571 |        388.88 |
|   2002 | year of the horse   | harvey chan | 75% gold , 25% silver |      6843 |        388.88 |
|   2003 | year of the goat    | harvey chan | 75% gold , 25% silver |      3927 |        398.88 |
|   2004 | year of the monkey  | harvey chan | 75% gold , 25% silver |      3318 |        398.88 |
|   2005 | year of the rooster | harvey chan | 75% gold , 25% silver |      4888 |        398.88 |
|   2006 | year of the dog     | harvey chan | 75% gold , 25% silver |      4888 |        448.88 |
|   2007 | year of the pig     | harvey chan | 75% gold , 25% silver |      4888 |        498.95 |
|   2008 | year of the rat     | harvey chan | 75% gold , 25% silver |      4888 |        508.95 |
|   2009 | year of the ox      | harvey chan | 75% gold , 25% silver |      4888 |        638.88 |
|   2010 | year of the tiger   | harvey chan | 75% gold , 25% silver |      4888 |        555.55 |
|   2011 | year of the rabbit  | harvey chan | 75% gold , 25% silver |      4888 |        638.88 |

Question:
What is the percentage increase in the issue price from 2000 to 2010?


id: d6a015f19dd67105047cf595f64e1e81
qtype: NumericalReasoning
label: 42.86%
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| Period    | Live births per year   | Deaths per year   | Natural change per year   |   CBR1 |   CDR1 |   NC1 |   TFR1 |   IMR1 |
|:----------|:-----------------------|:------------------|:--------------------------|-------:|-------:|------:|-------:|-------:|
| 1950-1955 | 9 000                  | 5 000             | 4 000                     |   47.9 |   27.1 |  20.8 |   6.67 |  184.8 |
| 1955-1960 | 10 000                 | 6 000             | 5 000                     |   49   |   26.8 |  22.3 |   6.67 |  181.4 |
| 1960-1965 | 12 000                 | 6 000             | 6 000                     |   48.5 |   25.7 |  22.8 |   6.67 |  174.1 |
| 1965-1970 | 13 000                 | 7 000             | 7 000                     |   47.8 |   24.1 |  23.8 |   6.67 |  163.1 |
| 1970-1975 | 16 000                 | 7 000             | 8 000                     |   47   |   22   |  25.1 |   6.67 |  149.3 |
| 1975-1980 | 18 000                 | 8 000             | 10 000                    |   45.8 |   19.6 |  26.2 |   6.67 |  133.2 |
| 1980-1985 | 20 000                 | 8 000             | 12 000                    |   42.7 |   17.1 |  25.6 |   6.39 |  117.1 |
| 1985-1990 | 21 000                 | 8 000             | 13 000                    |   40.4 |   15   |  25.3 |   6.11 |  104   |
| 1990-1995 | 19 000                 | 7 000             | 12 000                    |   35.2 |   12.5 |  22.7 |   5.27 |   87.5 |
| 1995-2000 | 16 000                 | 5 000             | 11 000                    |   29.2 |    9.9 |  19.3 |   4.13 |   69.7 |
| 2000-2005 | 15 000                 | 5 000             | 11 000                    |   25.2 |    7.9 |  17.2 |   3.3  |   52.8 |
| 2005-2010 | 15 000                 | 5 000             | 10 000                    |   21.5 |    7.2 |  14.4 |   2.61 |   44.4 |

Question:
What is the total number of live births from 1950-1955 to 1975-1980?


id: 31725a5bb8447511b205abce4655d29c
qtype: NumericalReasoning
label: 390000
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
|   Rank | Nation                |   Gold |   Silver |   Bronze |   Total |
|-------:|:----------------------|-------:|---------:|---------:|--------:|
|      1 | Puerto Rico           |     17 |       27 |       13 |      57 |
|      2 | Bahamas               |     17 |       15 |       19 |      51 |
|      3 | México                |      9 |        9 |        5 |      23 |
|      4 | Jamaica               |      8 |        6 |        4 |      18 |
|      5 | Barbados              |      7 |        3 |        6 |      16 |
|      6 | Trinidad and Tobago   |      7 |        2 |        2 |      11 |
|      7 | Venezuela             |      3 |        3 |        8 |      14 |
|      8 | Colombia              |      3 |        1 |        2 |       6 |
|      9 | U.S. Virgin Islands   |      1 |        1 |        3 |       5 |
|     10 | Martinique            |      1 |        1 |        0 |       2 |
|     11 | Antigua and Barbuda   |      1 |        0 |        1 |       2 |
|     12 | Suriname              |      1 |        0 |        0 |       1 |
|     13 | Bermuda               |      0 |        4 |        2 |       6 |
|     14 | Dominican Republic    |      0 |        2 |        4 |       6 |
|     15 | Panamá                |      0 |        1 |        2 |       3 |
|     16 | Cayman Islands        |      0 |        0 |        2 |       2 |
|     16 | Saint Kitts and Nevis |      0 |        0 |        2 |       2 |

Question:
Which nation has a total of 57 medals ?


id: a1e8eb2edd205ca85ff3310d4a0ad0eb
qtype: FactChecking
label: Puerto Rico
Task: Table-QA (source dataset: TableBench)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| name                                        | location     |   enrollment |   1 - year ranking of 727 |   5 - year ranking of 693 |
|:--------------------------------------------|:-------------|-------------:|--------------------------:|--------------------------:|
| centennial collegiate vocational institute  | guelph       |         1533 |                        63 |                        22 |
| centre dufferin district high school        | shelburne    |          998 |                       265 |                       281 |
| centre wellington district high school      | fergus       |         1459 |                       330 |                       246 |
| college heights secondary school            | guelph       |          649 |                       717 |                       688 |
| erin district high school                   | erin         |          616 |                       197 |                       148 |
| guelph collegiate vocational institute      | guelph       |         1314 |                        16 |                        30 |
| john f ross collegiate vocational institute | guelph       |         1895 |                       181 |                       165 |
| norwell district secondary school           | palmerston   |          795 |                       126 |                       343 |
| orangeville district secondary school       | orangeville  |         1574 |                       181 |                       194 |
| wellington heights secondary school         | mount forest |          680 |                       371 |                       426 |
| westside secondary school                   | orangeville  |          996 |                       478 |                       343 |

Question:
How many more students are enrolled in the school with the highest enrollment compared to the school with the lowest enrollment?


id: be9cbb9a182bb4bf349e35b9d80a915c
qtype: NumericalReasoning
label: 1279