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Publish Underground Fire Hydrants (OSM) (v1)

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  1. .gitattributes +2 -0
  2. README.md +120 -0
  3. data.csv +3 -0
  4. data.geojson +3 -0
  5. data.parquet +3 -0
  6. embedearth-metadata.json +6 -0
  7. manifest.json +25 -0
.gitattributes CHANGED
@@ -58,3 +58,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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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
README.md ADDED
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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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+
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+ # Underground Fire Hydrants (OSM) - 30,000-record Geospatial Sample
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+
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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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+
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+ Underground fire hydrants mapped by OpenStreetMap contributors, with coordinates and the original OSM tags preserved.
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+
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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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+
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+ ## At a glance
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+
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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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+
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+ ## Quick start
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+
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+ ```python
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+ from datasets import load_dataset
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+
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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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+
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+ ```python
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+ import pandas as pd
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+ import json
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+
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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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+
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+ ## Search millions more geographic features
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+
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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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+
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+ <!-- outerview-tools:start -->
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+ ## Build with Outerview
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+
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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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+
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+ ## Use cases
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+
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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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+
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+ ## Schema
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+
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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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+
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+ ## Properties
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+
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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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+
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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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+
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+ Keys vary by record and source; not every field is populated for every row.
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+
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+ ## Files
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+
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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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+
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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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+
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+ ## Sources and attribution
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+
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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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+
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+ ## License
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+
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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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+ {
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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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+ "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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