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:
|    - | Theme                                                                                                                           | Films   | Participants   |   Cities |   Countries | Jury                                                               |
|-----:|:--------------------------------------------------------------------------------------------------------------------------------|:--------|:---------------|---------:|------------:|:-------------------------------------------------------------------|
| 2011 | Small things in life                                                                                                            | 86      | 620            |       14 |           1 | Sanjay Gadhvi, Ashish Kakkad                                       |
| 2012 | Ingredients of good living                                                                                                      | 121     | 1,510          |       22 |           1 | Shoojit Sircar, Vikramaditya Motwane, Komal Nahta, Rajesh Mapuskar |
| 2013 | India can change                                                                                                                | 322     | 4,270          |       44 |           3 | Tigmanshu Dhulia, Nikhil Advani, Bejoy Nambiar                     |
| 2014 | Progress has many meanings                                                                                                      | 619     | 10,600         |      122 |          11 | Shyam Benegal, Hansal Mehta, Omung Kumar, Umesh Shukla             |
| 2015 | There is a twist in the end                                                                                                     | 700+    | 14,400         |      184 |          18 | Ketan Mehta, Onir, Raja Sen, Guneet Monga                          |
| 2016 | Top of the world                                                                                                                | 1,220   | 23,600         |      242 |          20 | Madhur Bhandarkar, Sriram Raghavan, Nagesh Kukunoor, Vetrimaaran   |
| 2017 | Everything is connected                                                                                                         | 1,503   | 29,000         |      262 |          18 | Ram Madhvani, Aniruddha Roy Chowdhury, Vipul Amrutlal Shah         |
| 2018 | Professional Category - A story of Change Amateur Category - Experience Change Mobile Category - Precaution is better than Cure | 1,550   | 32,000         |      300 |          30 | Sudhir Mishra, Milan Luthria, RS Prasanna                          |

Question:
What is the total number of films that participated in the festival across all years from 2012 to 2014?


id: 4ee382645d542fe6e3f05e71925c5cb8
qtype: NumericalReasoning
label: 1,062