Datasets:
Publish Underground Fire Hydrants (OSM) (v1)
Browse files- .gitattributes +2 -0
- README.md +120 -0
- data.csv +3 -0
- data.geojson +3 -0
- data.parquet +3 -0
- embedearth-metadata.json +6 -0
- manifest.json +25 -0
.gitattributes
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# Video files - compressed
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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data.csv filter=lfs diff=lfs merge=lfs -text
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data.geojson filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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pretty_name: "Underground Fire Hydrants (OSM) - 30,000-record Geospatial Sample"
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license: odbl
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size_categories: ["10K<n<100K"]
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task_categories: ["tabular-classification", "other"]
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language: ["en"]
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tags: ["geospatial", "open-data", "tabular", "parquet", "geojson", "csv", "fire-hydrant", "emergency", "water-infrastructure", "openstreetmap", "safety", "utilities"]
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---
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# Underground Fire Hydrants (OSM) - 30,000-record Geospatial Sample
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A free, ready-to-use sample of **30,000 geolocated underground fire hydrants** (current openstreetmap snapshot), published by **[Outerview](https://www.outerview.ai)**.
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Underground fire hydrants mapped by OpenStreetMap contributors, with coordinates and the original OSM tags preserved.
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> **This is a 30,000-record sample** of a much larger collection (about 1,089,000 source records). Need the full dataset, other places or years, or live search? See the [Outerview atlas](https://www.outerview.ai/atlas).
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## At a glance
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| | |
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| --- | --- |
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| Records | 30,000 |
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| Period | Current OpenStreetMap snapshot |
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| Geometry | Point, WGS 84 (EPSG:4326) |
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| Formats | Parquet, GeoJSON, CSV |
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| Publisher | [Outerview](https://www.outerview.ai) |
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## Quick start
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```python
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from datasets import load_dataset
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ds = load_dataset("parquet", data_files="hf://datasets/Outerview/underground-fire-hydrant/data.parquet", split="train")
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print(ds)
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print(ds[0])
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```
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```python
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import pandas as pd
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import json
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df = pd.read_parquet("hf://datasets/Outerview/underground-fire-hydrant/data.parquet")
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df["properties"] = df["properties"].apply(json.loads)
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df[["latitude", "longitude"]].describe()
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```
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## Search millions more geographic features
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Outerview provides developers and AI systems access to **millions of geographic features and geolocated imagery** spanning infrastructure, places, roads, buildings, nature and community issues.
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<!-- outerview-tools:start -->
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## Build with Outerview
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- [Geographic Feature List](https://www.outerview.ai/atlas) — browse geographic features available through Outerview
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- [Outerview](https://www.outerview.ai/) — programmable infrastructure for Earth
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- [Developer Documentation](https://www.outerview.ai/docs) — APIs, tools, guides, and examples
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- [SDK](https://www.outerview.ai/docs/sdk) — build geographic capabilities directly into applications
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- [CLI](https://www.outerview.ai/docs/cli) — work with geographic search and spatial data from the terminal
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- [MCP](https://www.outerview.ai/docs/mcp) — connect geographic search and spatial tools to AI agents
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<!-- outerview-tools:end -->
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## Use cases
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- Emergency-response and fire-safety coverage analysis
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- Insurance and risk modelling
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- Water-network and infrastructure planning
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- Training detection and geolocation models
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## Schema
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| Column | Type | Description |
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| --- | --- | --- |
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| `id` | string | Stable identifier for the record in the source table. |
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| `sample` | boolean | Reserved flag for optional image samples; false for source-table exports. |
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| `latitude` | float64 | Latitude in decimal degrees (WGS 84). |
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| `longitude` | float64 | Longitude in decimal degrees (WGS 84). |
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| `geometry_wkb` | binary | Record geometry encoded as Well-Known Binary for spatial workflows. |
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| `media_url` | string | URL of associated imagery when available; usually empty for this dataset. |
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| `attribution` | string | Attribution text for the contributing source. |
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| `source` | string | Source or provider label. |
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| `properties` | string | JSON-encoded object with the source-specific fields (see Properties). |
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## Properties
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The `properties` column is a JSON string holding the original source attributes. The most common keys in this sample:
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| Key | Example value |
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| --- | --- |
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| `osm_id` | `10159498218` |
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| `tag_name` | `fire_hydrant:type` |
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| `label_name` | `underground` |
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| `fire_hydrant:type` | `underground` |
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| `emergency` | `fire_hydrant` |
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| `fire_hydrant:position` | `sidewalk` |
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| `survey:date` | `2018-09-27` |
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| `water_source` | `main` |
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| `flow_rate` | `122` |
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| `couplings` | `1` |
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| `note` | `National-Land Numerical Information (Public Faci` |
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| `addr:street` | `Stubaier Höhenweg (Nr. 4)` |
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Keys vary by record and source; not every field is populated for every row.
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## Files
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- [Parquet](https://huggingface.co/datasets/Outerview/underground-fire-hydrant/resolve/main/data.parquet)
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- [GeoJSON](https://huggingface.co/datasets/Outerview/underground-fire-hydrant/resolve/main/data.geojson)
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- [CSV](https://huggingface.co/datasets/Outerview/underground-fire-hydrant/resolve/main/data.csv)
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## Methodology
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Records are exported directly from the Outerview geographic index, ordered by identifier and capped at 30,000 rows. Coordinates are WGS 84. Source fields are preserved in `properties` without reinterpretation. Inclusion means a record appeared in the contributing public dataset; it was not independently verified.
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## Sources and attribution
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- [OpenStreetMap contributors](https://www.openstreetmap.org/copyright) (ODbL 1.0)
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- Prepared and distributed by [Outerview](https://www.outerview.ai)
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## License
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Contains information from OpenStreetMap, made available under the [Open Database License (ODbL) 1.0](https://opendatacommons.org/licenses/odbl/1-0/). Attribute **OpenStreetMap contributors** and keep derived databases under ODbL.
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data.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6f87c8b52cb982aa0267f4f2da204f70ccd74ec3b00fbad681324657ecb4ea8
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size 10920955
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data.geojson
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version https://git-lfs.github.com/spec/v1
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oid sha256:13ec78b46fb6e05e144eaa0c3ef4d384abcd1506c15892d1e3d47ec25be6a924
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size 13352130
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data.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:d3e41a0781b2f77098a571c782eedd5674a462a9dbdbb5c85e6a2d54f07e0ce2
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size 80237503
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embedearth-metadata.json
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{
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"version": "v1",
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"title": "Underground Fire Hydrants (OSM)",
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"publisher": "Outerview",
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"repository": "https://huggingface.co/datasets/Outerview/underground-fire-hydrant"
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}
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{
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"title": "Underground Fire Hydrants (OSM)",
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"description": "Underground fire hydrants mapped by OpenStreetMap contributors, with coordinates and the original OSM tags preserved.",
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"version": "v1",
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"row_count": 30000,
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"files": {
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"data.parquet": {
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"path": "https://huggingface.co/datasets/Outerview/underground-fire-hydrant/resolve/main/data.parquet",
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"size_bytes": 80237503
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},
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"data.geojson": {
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"path": "https://huggingface.co/datasets/Outerview/underground-fire-hydrant/resolve/main/data.geojson",
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"size_bytes": 13352130
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},
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"data.csv": {
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"path": "https://huggingface.co/datasets/Outerview/underground-fire-hydrant/resolve/main/data.csv",
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"size_bytes": 10920955
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}
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},
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"repository": "https://huggingface.co/datasets/Outerview/underground-fire-hydrant",
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"publisher": {
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"name": "Outerview",
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"url": "https://www.outerview.ai/"
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}
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}
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