File size: 2,394 Bytes
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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).
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