Language as a Barrier to Local Government Access:  Spanish Language Access to Local Government Websites
<|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 data set scores Spanish language access to local and county government websites. Few data exist to support measuring the language accessibility of government websites by persons with limited English proficiency (LEP). The Worldwide Web is asserted as the great leveler, bringing citizens into closer contact with their governments and the services those governments provide. This is certainly the case with English speakers. However for individuals with limited English proficiency, the web has left many behind. The data is organized into two datasets: 1) cities and 2) counties.  The city dataset is comprised of the 100 largest U.S. cities for 2012 (http://www.citymayors.com/gratis/uscities_100.html).  Counties were sampled on two criteria: a) percentage of population that speaks Spanish or Spanish Creole at home and b) region.  To ' . 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" : ["Spanish language, government website access, U.S. local and county"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This data set scores Spanish language access to local and county government websites. Few data exist to support measuring the language accessibility of government websites by persons with limited English proficiency (LEP). The Worldwide Web is asserted as the great leveler, bringing citizens into closer contact with their governments and the services those governments provide. This is certainly the case with English speakers. However for individuals with limited English proficiency, the web has left many behind. The data is organized into two datasets: 1) cities and 2) counties.  The city dataset is comprised of the 100 largest U.S. cities for 2012 (http://www.citymayors.com/gratis/uscities_100.html).  Counties were sampled on two criteria: a) percentage of population that speaks Spanish or Spanish Creole at home and b) region.  To ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This data set scores Spanish language access to local and county government websites. Few data exist to support measuring the language accessibility of government websites by persons with limited English proficiency (LEP). The Worldwide Web is asserted as the great leveler, bringing citizens into closer contact with their governments and the services those governments provide. This is certainly the case with English speakers. However for individuals with limited English proficiency, the web has left many behind. The data is organized into two datasets: 1) cities and 2) counties.  The city dataset is comprised of the 100 largest U.S. cities for 2012 (http://www.citymayors.com/gratis/uscities_100.html).  Counties were sampled on two criteria: a) percentage of population that speaks Spanish or Spanish Creole at home and b) region.  To 
Spanish language, government website access, U.S. local and county