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:
| location     | function                                    | size ( square feet )               | property interest   |
|:-------------|:--------------------------------------------|:-----------------------------------|:--------------------|
| boston       | corporate headquarters ; us tower division  | 30000 ( 1 )                        | leased              |
| southborough | data center                                 | 13900                              | leased              |
| woburn       | lease administration                        | 34000                              | owned               |
| atlanta      | us tower and services division ; accounting | 17900 ( rental ) 4800 ( services ) | leased              |
| mexico city  | mexico headquarters                         | 12300                              | leased              |
| sao paulo    | brazil headquarters                         | 3200                               | leased              |

Question:
what portion of the boston property will be offered for sub-lease?


pre_text: item 2 .
properties our principal offices are located in boston , southborough and woburn , massachusetts ; atlanta , georgia ; mexico city , mexico ; and sao paulo , brazil .
details of each of these offices are provided below: .
post_text: ( 1 ) of the total 30000 square feet in our current leasehold , we are consolidating our operations into 20000 square feet during 2004 and are currently offering the remaining 10000 square feet for re-lease or sub-lease .
we have seven additional area offices in the united states through which our tower leasing and services businesses are operated on a local basis .
these offices are located in ontario , california ; marietta , georgia ; crest hill , illinois ; worcester , massachusetts ; new hudson , michigan ; mount pleasant , south carolina ; and kent , washington .
in addition , we maintain smaller field offices within each of the areas at locations as needed from time to time .
our interests in individual communications sites are comprised of a variety of fee and leasehold interests in land and/or buildings ( rooftops ) .
of the approximately 15000 towers comprising our portfolio , approximately 16% ( 16 % ) are located on parcels of land that we own and approximately 84% ( 84 % ) are either located on parcels of land that have leasehold interests created by long-term lease agreements , private easements and easements , licenses or rights-of-way granted by government entities , or are sites that we manage for third parties .
in rural areas , a wireless communications site typically consists of a 10000 square foot tract , which supports towers , equipment shelters and guy wires to stabilize the structure , whereas a broadcast tower site typically consists of a tract of land of up to twenty-acres .
less than 2500 square feet are required for a monopole or self-supporting tower structure of the kind typically used in metropolitan areas for wireless communication tower sites .
land leases generally have an initial term of five years with three or four additional automatic renewal periods of five years , for a total of twenty to twenty-five years .
pursuant to our credit facilities , our lenders have liens on , among other things , all towers , leasehold interests , tenant leases and contracts relating to the management of towers for others .
we believe that our owned and leased facilities are suitable and adequate to meet our anticipated needs .
item 3 .
legal proceedings we periodically become involved in various claims and lawsuits that are incidental to our business .
we believe , after consultation with counsel , that no matters currently pending would , in the event of an adverse outcome , have a material impact on our consolidated financial position , results of operations or liquidity .
item 4 .
submission of matters to a vote of security holders .
label: 0.33333
qa: answer: 33.3%
ann_table_rows: 3
steps: op: minus1-1
arg1: 30000
arg2: 20000
res: 10000
op: divide1-2
arg1: #0
arg2: 30000
res: 33.3%
program: subtract(30000, 20000), divide(#0, 30000)
gold_inds: table_3: location the woburn of function is lease administration ; the woburn of size ( square feet ) is 34000 ; the woburn of property interest is owned ;
table_1: location the boston of function is corporate headquarters ; us tower division ; the boston of size ( square feet ) is 30000 ( 1 ) ; the boston of property interest is leased ;
text_3: ( 1 ) of the total 30000 square feet in our current leasehold , we are consolidating our operations into 20000 square feet during 2004 and are currently offering the remaining 10000 square feet for re-lease or sub-lease .
exe_ans: 0.33333
program_re: divide(subtract(30000, 20000), 30000)
model_input: text_1
properties our principal offices are located in boston , southborough and woburn , massachusetts ; atlanta , georgia ; mexico city , mexico ; and sao paulo , brazil .
table_1
location the boston of function is corporate headquarters ; us tower division ; the boston of size ( square feet ) is 30000 ( 1 ) ; the boston of property interest is leased ;
text_5
these offices are located in ontario , california ; marietta , georgia ; crest hill , illinois ; worcester , massachusetts ; new hudson , michigan ; mount pleasant , south carolina ; and kent , washington .