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 | centre                         | country                        |   rating |   change |
|-------:|:-------------------------------|:-------------------------------|---------:|---------:|
|     41 | isle of man ( cd )             | isle of man ( cd )             |      638 |        7 |
|     42 | abu dhabi                      | united arab emirates           |      637 |       12 |
|     43 | wellington                     | new zealand                    |      636 |       10 |
|     44 | istanbul                       | turkey                         |      633 |        7 |
|     45 | amsterdam                      | netherlands                    |      629 |       26 |
|     46 | buenos aires                   | argentina                      |      628 |        5 |
|     47 | riyadh                         | saudi arabia                   |      627 |       29 |
|     48 | british virgin islands ( bot ) | british virgin islands ( bot ) |      626 |       14 |
|     49 | copenhagen                     | denmark                        |      625 |       18 |
|     50 | taipei                         | taiwan                         |      619 |       34 |
|     51 | milan                          | italy                          |      618 |       34 |
|     52 | bahrain                        | bahrain                        |      610 |        3 |
|     53 | malta                          | malta                          |      608 |       13 |
|     54 | madrid                         | spain                          |      607 |       28 |
|     55 | jakarta                        | indonesia                      |      606 |       14 |
|     56 | dublin                         | ireland                        |      605 |       22 |
|     57 | helsinki                       | finland                        |      604 |       30 |
|     58 | bangkok                        | thailand                       |      600 |       19 |
|     59 | beijing                        | china                          |      598 |       24 |
|     60 | brussels                       | belgium                        |      597 |       44 |
|     61 | johannesburg                   | south africa                   |      592 |       18 |
|     62 | edinburgh                      | united kingdom                 |      590 |       42 |
|     63 | panama city                    | panama                         |      589 |        8 |
|     64 | manila                         | philippines                    |      587 |        1 |
|     65 | glasgow                        | united kingdom                 |      586 |       50 |
|     66 | mexico city                    | mexico                         |      584 |       44 |
|     67 | the bahamas                    | the bahamas                    |      583 |        4 |
|     68 | mauritius                      | mauritius                      |      581 |        9 |
|     69 | moscow                         | russia                         |      580 |       26 |
|     70 | gibraltar ( bot )              | gibraltar ( bot )              |      572 |       43 |
|     71 | warsaw                         | poland                         |      571 |       37 |
|     72 | mumbai                         | india                          |      570 |       35 |
|     73 | prague                         | czech republic                 |      565 |       46 |
|     74 | cyprus                         | cyprus                         |      536 |       40 |
|     75 | lisbon                         | portugal                       |      535 |       17 |
|     76 | saint petersburg               | russia                         |      522 |       63 |
|     77 | budapest                       | hungary                        |      515 |       26 |
|     78 | tallinn                        | estonia                        |      495 |       94 |
|     79 | reykjavik                      | iceland                        |      479 |       67 |
|     80 | athens                         | greece                         |      469 |        4 |

Question:
Rating Growth is defined as the change in rating divided by the current rating, expressed as a percentage. According to this definition of Rating Growth, which centre has the highest rating growth?


id: 39987999e1badc7cd1a6f52f52b106cc
qtype: NumericalReasoning
label: tallinn