| | --- |
| | 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). |
| |
|