---
dataset_info:
  features:
  - name: SOURCE_ID
    dtype: int64
  - name: SUB_CODE
    dtype: int64
  - name: FEAT_CODE
    dtype: int64
  - name: STATUS
    dtype: string
  - name: SHAPE_Leng
    dtype: float64
  - name: SHAPE_Area
    dtype: float64
  - name: geometry
    dtype: string
  - name: telecom_dist
    dtype: float64
  - name: telecom_Id
    dtype: float64
  - name: telecom_Reservation Date
    dtype: string
  - name: 'telecom_Franchisee Name '
    dtype: string
  - name: telecom_Status
    dtype: string
  - name: telecom_Installation Date
    dtype: string
  - name: telecom_Pole Class
    dtype: string
  - name: telecom_Borough
    dtype: string
  - name: telecom_X Coord.
    dtype: float64
  - name: telecom_Y Coord.
    dtype: float64
  - name: telecom_Latitude
    dtype: float64
  - name: telecom_Longitude
    dtype: float64
  - name: telecom_Zone
    dtype: string
  - name: telecom_On street
    dtype: string
  - name: telecom_Cross street 1
    dtype: string
  - name: telecom_Cross street 2
    dtype: string
  - name: telecom_Park Advisory
    dtype: string
  - name: telecom_Historic Landmark Advisory
    dtype: string
  - name: telecom_Scenic Landmark Advisory
    dtype: string
  - name: telecom_BID Advisory
    dtype: string
  - name: telecom_School Advisory
    dtype: string
  - name: telecom_Zipcode
    dtype: float64
  - name: telecom_Community Board
    dtype: float64
  - name: telecom_Council District
    dtype: float64
  - name: sign_dist
    dtype: float64
  - name: sign_order_number
    dtype: string
  - name: sign_record_type
    dtype: string
  - name: sign_order_type
    dtype: string
  - name: sign_borough
    dtype: string
  - name: sign_on_street
    dtype: string
  - name: sign_on_street_suffix
    dtype: string
  - name: sign_from_street
    dtype: string
  - name: sign_from_street_suffix
    dtype: string
  - name: sign_to_street
    dtype: string
  - name: sign_to_street_suffix
    dtype: string
  - name: sign_side_of_street
    dtype: string
  - name: sign_order_completed_on_date
    dtype: string
  - name: sign_sign_code
    dtype: string
  - name: sign_sign_description
    dtype: string
  - name: sign_sign_size
    dtype: string
  - name: sign_sign_design_voided_on_date
    dtype: string
  - name: sign_sign_location
    dtype: string
  - name: sign_distance_from_intersection
    dtype: float64
  - name: sign_arrow_direction
    dtype: string
  - name: sign_facing_direction
    dtype: string
  - name: sign_sheeting_type
    dtype: string
  - name: sign_support
    dtype: string
  - name: sign_sign_notes
    dtype: string
  - name: sign_sign_x_coord
    dtype: float64
  - name: sign_sign_y_coord
    dtype: float64
  splits:
  - name: train
    num_bytes: 932386794
    num_examples: 70288
  download_size: 43978813
  dataset_size: 932386794
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

### Fixed Obstructions on Sidewalks (NYC Combined) Dataset

A unified dataset combining NYC’s fixed infrastructure layers relevant to pedestrian and bicycle mobility:
  1) Mobile Telecommunications Franchise Poles — locations of street light poles, traffic light poles, and utility poles reserved for telecommunications installations,
  2) Street Sign Work Orders — locations of regulatory, warning, guide, and parking signs managed by NYC DOT,
  3) NYC Planimetric Sidewalks — official polygon geometries of NYC sidewalks.
     
These datasets support spatial analysis of pedestrian infrastructure, sidewalk obstruction studies, accessibility assessments, and micro-mobility planning. All records are georeferenced with accurate coordinates or geometries suitable for spatial overlay, proximity analysis, and visualization.

More information about how this dataset was generated can be found [here](https://github.com/VIDA-NYU/OSCUR-data/pull/13).