Task: Table-QA (source dataset: FinQA)

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:
| industry                                           | corporate lending exposure ( dollars in millions )   |
|:---------------------------------------------------|:-----------------------------------------------------|
| energy                                             | $ 12240                                              |
| utilities                                          | 10410                                                |
| healthcare                                         | 10095                                                |
| consumer discretionary                             | 9981                                                 |
| industrials                                        | 9514                                                 |
| funds exchanges and other financial services ( 1 ) | 7190                                                 |
| consumer staples                                   | 6788                                                 |
| information technology                             | 6526                                                 |
| telecommunications services                        | 5658                                                 |
| materials                                          | 4867                                                 |
| real estate                                        | 4171                                                 |
| other                                              | 5593                                                 |
| total                                              | $ 93033                                              |

Question:
how much of the december 31 , 2013 201cevent- driven 201d loans and commitments will mature in 2014 , in billions?


pre_text: at december 31 , 2013 , the aggregate amount of investment grade funded loans was $ 6.5 billion and the aggregate amount of non-investment grade funded loans was $ 7.9 billion .
in connection with these corporate lending activities ( which include corporate funded and unfunded lending commitments ) , the company had hedges ( which include 201csingle name , 201d 201csector 201d and 201cindex 201d hedges ) with a notional amount of $ 9.0 billion related to the total corporate lending exposure of $ 93.0 billion at december 31 , 2013 .
201cevent-driven 201d loans and lending commitments at december 31 , 2013 .
included in the total corporate lending exposure amounts in the table above at december 31 , 2013 were 201cevent- driven 201d exposures of $ 9.5 billion composed of funded loans of $ 2.0 billion and lending commitments of $ 7.5 billion .
included in the 201cevent-driven 201d exposure at december 31 , 2013 were $ 7.3 billion of loans and lending commitments to non-investment grade borrowers .
the maturity profile of the 201cevent-driven 201d loans and lending commitments at december 31 , 2013 was as follows : 33% ( 33 % ) will mature in less than 1 year , 17% ( 17 % ) will mature within 1 to 3 years , 32% ( 32 % ) will mature within 3 to 5 years and 18% ( 18 % ) will mature in over 5 years .
industry exposure 2014corporate lending .
the company also monitors its credit exposure to individual industries for credit exposure arising from corporate loans and lending commitments as discussed above .
the following table shows the company 2019s credit exposure from its primary corporate loans and lending commitments by industry at december 31 , 2013 : industry corporate lending exposure ( dollars in millions ) .
post_text: ( 1 ) includes mutual funds , pension funds , private equity and real estate funds , exchanges and clearinghouses and diversified financial services .
institutional securities other lending activities .
in addition to the primary corporate lending activity described above , the institutional securities business segment engages in other lending activity .
these loans primarily include corporate loans purchased in the secondary market , commercial and residential mortgage loans , asset-backed loans and financing extended to institutional clients .
at december 31 , 2013 , approximately 99.6% ( 99.6 % ) of institutional securities other lending activities held for investment were current ; less than 0.4% ( 0.4 % ) were on non- accrual status because the loans were past due for a period of 90 days or more or payment of principal or interest was in doubt. .
label: 3.135
qa: answer: 3.1
ann_text_rows: 3
5
steps: op: multiply2-1
arg1: 9.5
arg2: 33%
res: 3.1
program: multiply(9.5, 33%)
gold_inds: text_3: included in the total corporate lending exposure amounts in the table above at december 31 , 2013 were 201cevent- driven 201d exposures of $ 9.5 billion composed of funded loans of $ 2.0 billion and lending commitments of $ 7.5 billion .
text_5: the maturity profile of the 201cevent-driven 201d loans and lending commitments at december 31 , 2013 was as follows : 33% ( 33 % ) will mature in less than 1 year , 17% ( 17 % ) will mature within 1 to 3 years , 32% ( 32 % ) will mature within 3 to 5 years and 18% ( 18 % ) will mature in over 5 years .
exe_ans: 3.135
tfidftopn: text_2: 201cevent-driven 201d loans and lending commitments at december 31 , 2013 .
program_re: multiply(9.5, 33%)
model_input: text_3
included in the total corporate lending exposure amounts in the table above at december 31 , 2013 were 201cevent- driven 201d exposures of $ 9.5 billion composed of funded loans of $ 2.0 billion and lending commitments of $ 7.5 billion .
text_4
included in the 201cevent-driven 201d exposure at december 31 , 2013 were $ 7.3 billion of loans and lending commitments to non-investment grade borrowers .
text_5
the maturity profile of the 201cevent-driven 201d loans and lending commitments at december 31 , 2013 was as follows : 33% ( 33 % ) will mature in less than 1 year , 17% ( 17 % ) will mature within 1 to 3 years , 32% ( 32 % ) will mature within 3 to 5 years and 18% ( 18 % ) will mature in over 5 years .