--- dataset_info: features: - name: corner_id dtype: string - name: feature_id dtype: string - name: on_street dtype: string - name: GeoCyclora dtype: string - name: borough dtype: string - name: StName1 dtype: string - name: cross_street dtype: string - name: CURB_REVEAL dtype: string - name: RAMP_RUNNING_SLOPE_TOTAL dtype: string - name: detect_warn_strip dtype: string - name: GUTTER_SLOPE dtype: string - name: LND_WIDTH dtype: string - name: LND_LENGTH dtype: string - name: LND_CROSS_SLOPE dtype: string - name: COUNTER_SLOPE dtype: string - name: RAMP_WIDTH dtype: string - name: RAMP_RIGHT_FLARE dtype: string - name: RAMP_LEFT_FLARE dtype: string - name: RAMP_LENGTH dtype: string - name: RAMP_CROSS_SLOPE dtype: string - name: PONDING dtype: string - name: OBSTACLES_RAMP dtype: string - name: OBSTACLES_LANDING dtype: string - name: lon dtype: string - name: lat dtype: string - name: source dtype: string - name: dist_to_curb_ft dtype: string - name: the_geom dtype: string - name: BoroCode dtype: string - name: BoroCD dtype: string - name: CounDist dtype: string - name: AssemDist dtype: string - name: StSenDist dtype: string - name: CongDist dtype: string - name: Location dtype: string - name: Borough dtype: string - name: install_date dtype: string - name: FEMAFldz dtype: string - name: FEMAFldT dtype: string - name: HrcEvac dtype: string - name: NTAname dtype: string - name: curb_geom_wkt dtype: string splits: - name: train num_bytes: 954781917 num_examples: 221604 download_size: 524725369 dataset_size: 954781917 configs: - config_name: default data_files: - split: train path: data/train-* --- ### Transit Stop Accessibility Dataset This dataset contains enriched geospatial point features representing ADA pedestrian ramps and Accessible Pedestrian Signal (APS) locations in New York City, each annotated with attributes of their nearest curb segment. The dataset supports research and planning for accessible, multimodal transportation infrastructure in NYC. More information about how this dataset was generated can be found [here](https://github.com/VIDA-NYU/OSCUR-data/pull/8).