Vacant office space
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This extract draws data from CoStar Suites’ digital platform and database. The extracted data summarizes North Carolina’s office real estate markets by county. CoStar Suites data is collected from commercial real estate brokers. The data is voluntary, but generally comprehensive. When extracting data from CoStar Suites, the following filters were used:1. Office properties (as opposed to other categories of commercial real estate, such as warehousing properties)2. Properties for lease (as opposed to for sale)3. Where the space use was explicitly for office uses (as opposed to office properties that have been repurposed for another use)4. Counties as the sole geographic distinction (as opposed to metropolitan areas or custom sub-market geographies)5. Only spaces that consist of more than 5,000 square feetCommercial properties that' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["office, business, real estate, rent, rental, work from home, vacant, vacancy, economy"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This extract draws data from CoStar Suites’ digital platform and database. The extracted data summarizes North Carolina’s office real estate markets by county. CoStar Suites data is collected from commercial real estate brokers. The data is voluntary, but generally comprehensive. When extracting data from CoStar Suites, the following filters were used:1. Office properties (as opposed to other categories of commercial real estate, such as warehousing properties)2. Properties for lease (as opposed to for sale)3. Where the space use was explicitly for office uses (as opposed to office properties that have been repurposed for another use)4. Counties as the sole geographic distinction (as opposed to metropolitan areas or custom sub-market geographies)5. Only spaces that consist of more than 5,000 square feetCommercial properties that' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This extract draws data from CoStar Suites’ digital platform and database. The extracted data summarizes North Carolina’s office real estate markets by county. CoStar Suites data is collected from commercial real estate brokers. The data is voluntary, but generally comprehensive. When extracting data from CoStar Suites, the following filters were used:1. Office properties (as opposed to other categories of commercial real estate, such as warehousing properties)2. Properties for lease (as opposed to for sale)3. Where the space use was explicitly for office uses (as opposed to office properties that have been repurposed for another use)4. Counties as the sole geographic distinction (as opposed to metropolitan areas or custom sub-market geographies)5. Only spaces that consist of more than 5,000 square feetCommercial properties that
office, business, real estate, rent, rental, work from home, vacant, vacancy, economy