Project Sidewalk geo-located accessibility features and problems in six cities: Columbus, OH; Newberg, OR; Pittsburgh, PA, Seattle, WA, San Pedro Garza Garcia, MX, and Mexico City, MX.
<|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:'Contains crowdsourced sidewalk accessibility labels from Project Sidewalk deployments in six cities: Columbus, OH; Newberg, OR; Pittsburgh, PA, Seattle, WA, San Pedro Garza Garcia, MX, and Mexico City, MX. The format is GeoJSON using a Feature Collection of Point features. Properties of the attributes include accessibility feature or problem type (e.g., obstacle, surface problem, curb ramp), neighborhood name, severity, whether the problem was marked as temporary, and a unique attribut' . 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" : ["disability","human mobility","pedestrian access","public rights of way","sidewalk accessibility","urban accessibility","walkability"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Contains crowdsourced sidewalk accessibility labels from Project Sidewalk deployments in six cities: Columbus, OH; Newberg, OR; Pittsburgh, PA, Seattle, WA, San Pedro Garza Garcia, MX, and Mexico City, MX. The format is GeoJSON using a Feature Collection of Point features. Properties of the attributes include accessibility feature or problem type (e.g., obstacle, surface problem, curb ramp), neighborhood name, severity, whether the problem was marked as temporary, and a unique attribut' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Contains crowdsourced sidewalk accessibility labels from Project Sidewalk deployments in six cities: Columbus, OH; Newberg, OR; Pittsburgh, PA, Seattle, WA, San Pedro Garza Garcia, MX, and Mexico City, MX. The format is GeoJSON using a Feature Collection of Point features. Properties of the attributes include accessibility feature or problem type (e.g., obstacle, surface problem, curb ramp), neighborhood name, severity, whether the problem was marked as temporary, and a unique attribut
disability; human mobility; pedestrian access; public rights of way; sidewalk accessibility; urban accessibility; walkability