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:
| Row Header     |   Total |   Owned | Leased   | Seats in Standard Configuration   |   Average Age (In Years) |
|:---------------|--------:|--------:|:---------|:----------------------------------|-------------------------:|
| 777-300ER      |      14 |      14 | —        | 366                               |                      0.7 |
| 777-200ER      |      55 |      40 | 15       | 267-269                           |                     17.8 |
| 777-200        |      19 |      19 | —        | 364                               |                     20.5 |
| 787-9          |      21 |      21 | —        | 252                               |                      2.1 |
| 787-8          |      12 |      12 | —        | 219                               |                      4.5 |
| 767-400ER      |      16 |      14 | 2        | 242                               |                     16.3 |
| 767-300ER      |      35 |      22 | 13       | 183-214                           |                     22.5 |
| 757-300        |      21 |       9 | 12       | 213                               |                     15.3 |
| 757-200        |      56 |      50 | 6        | 142-169                           |                     21.7 |
| 737-900ER      |     136 |     136 | —        | 179                               |                      5   |
| 737-900        |      12 |       8 | 4        | 179                               |                     16.3 |
| 737-800        |     141 |      77 | 64       | 154-166                           |                     13.8 |
| 737-700        |      40 |      20 | 20       | 118-126                           |                     18.8 |
| A320-200       |      99 |      66 | 33       | 150                               |                     19.3 |
| A319-100       |      67 |      50 | 17       | 128                               |                     16.7 |
| Total mainline |     744 |     558 | 186      |                                   |                     14.3 |

Question:
Average Seat Density is calculated as the total number of seats divided by the total number of aircraft. Based on this definition, which aircraft type has the highest average seat density in the airline's fleet?


id: 6237bbbb18e2f1614656f1730f37f02a
qtype: NumericalReasoning
label: 777-300ER