Publish Tactile Paving Features - 2025 (v1)

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
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+data.csv filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+tags:
+- geospatial
+- open-data
+- tabular
+- computer-vision
+- accessibility
+- pedestrian-infrastructure
+- tactile-paving
+- urban-planning
+- mapping
+- parquet
+- geojson
+- csv
+- openstreetmap
+- year-2025
+libraries:
+- datasets
+size_categories:
+- 1M<n<10M
+license: odbl
+---
+
+# Tactile Paving Features - 2025
+
+This dataset maps tactile paving features from OpenStreetMap. Tactile paving uses patterned or textured surfaces that can be detected underfoot or with a mobility cane, helping people identify routes, platform edges, crossings, hazards, and changes in walking surfaces.
+
+This release contains up to **1,100,000 geolocated records** from 2025. The export is capped at 1.1 million records, so it should be understood as a large snapshot rather than a complete count of every mapped feature.
+
+Prepared and distributed by **[EmbedEarth](https://embed.earth)** from **[OpenStreetMap contributors](https://www.openstreetmap.org/copyright)**.
+
+## Search millions more geographic features
+
+This Hugging Face release is one downloadable dataset from the broader **[EmbedEarth](https://embed.earth)** geographic index. EmbedEarth provides developers and AI systems with tools for searching and working with geographic features, places, infrastructure, and other observations of the physical world.
+
+### Build with EmbedEarth
+
+* **[EmbedEarth](https://embed.earth)** — programmable infrastructure for Earth
+* **[Geographic Feature List](https://www.embed.earth/catalog/features)** — browse geographic features available through EmbedEarth
+* **[Developer Documentation](https://www.embed.earth/docs)** — APIs, SDKs, tools, guides, and examples
+* **[Geographic Search SDK](https://www.embed.earth/docs/sdk/search)** — search geographic features and regions programmatically
+* **API** — integrate geographic search and spatial data into applications
+* **SDK** — build geographic capabilities directly into applications
+* **CLI** — work with geographic data from the terminal
+* **MCP** — connect geographic search and spatial tools to AI agents
+
+## Search the physical world
+
+The same geographic infrastructure used to create this dataset can support searches such as:
+
+```text
+tactile paving near subway stations in Toronto
+accessible pedestrian infrastructure in Montreal
+tactile paving around schools in New York
+sidewalk accessibility features in London
+```
+
+## Dataset overview
+
+This dataset focuses on **tactile paving** represented in OpenStreetMap. Each record is a geolocated map feature with source attribution and, where available, additional tags such as names, addresses, references, operators, websites, access details, and feature-specific values.
+
+Mapped tactile paving and detectable-surface features intended to help pedestrians, including people who are blind or have low vision, navigate crossings, platforms, sidewalks, and other walking environments.
+
+## Use cases
+
+### Accessibility mapping
+
+Map tactile paving coverage around crossings, transit stops, sidewalks, and public facilities.
+### Pedestrian network analysis
+
+Study how accessible walking infrastructure connects across neighborhoods and corridors.
+### Urban design research
+
+Compare mapped accessibility infrastructure with roads, buildings, transit, and land-use data.
+### OpenStreetMap quality checks
+
+Find areas where accessibility tags are present, missing, or inconsistent.
+### Geospatial machine learning
+
+Build spatial features for accessibility research, map enrichment, or geographic AI.
+
+## Schema
+
+The downloadable Parquet and CSV files use a normalized schema. Source-specific attributes are preserved inside the JSON-encoded `properties` field rather than expanded into separate top-level columns. GeoJSON exposes the same record attributes alongside its geometry.
+
+| Column | Type | Description |
+| --- | --- | --- |
+| `id` | string | Stable identifier for the exported record. |
+| `sample` | boolean | Whether this record was selected for the optional image archive sample. |
+| `latitude` | float64 | Latitude in decimal degrees using WGS 84 when a valid location is available. |
+| `longitude` | float64 | Longitude in decimal degrees using WGS 84 when a valid location is available. |
+| `geometry_wkb` | binary | The record geometry encoded as Well-Known Binary for spatial workflows. |
+| `media_url` | string | URL for associated imagery or other visual media when available. |
+| `attribution` | string | Attribution information carried into the exported record. |
+| `source` | string | Source or provider associated with the observation. |
+| `properties` | string | JSON-encoded object containing source-specific OpenStreetMap attributes. |
+
+### Source-specific properties
+
+The `properties` field preserves additional OpenStreetMap tags associated with each feature. Exact keys vary by record and region; common examples include:
+
+| Property | Description |
+| --- | --- |
+| `osm_id` | OpenStreetMap object identifier when supplied. |
+| `name / ref` | Name, reference, or local identifier when mapped. |
+| `surface / tactile_paving` | Surface or tactile-paving tag values when supplied. |
+| `access / wheelchair` | Accessibility-related tags when mapped. |
+| `operator / website` | Responsible organization or public information link when supplied. |
+| `address` | Address or location text when available. |
+
+Not every property is populated for every record.
+
+## Download
+
+The dataset is available in Parquet, GeoJSON, and CSV formats:
+
+* [Parquet](https://huggingface.co/datasets/EmbedEarth/tactile-paving/resolve/main/data.parquet)
+* [GeoJSON](https://huggingface.co/datasets/EmbedEarth/tactile-paving/resolve/main/data.geojson)
+* [CSV](https://huggingface.co/datasets/EmbedEarth/tactile-paving/resolve/main/data.csv)
+
+**Parquet** is recommended for analytics, Python workflows, DuckDB, and large-scale processing. **GeoJSON** is useful for GIS software and web maps. **CSV** is convenient for tabular analysis and interoperability.
+
+## Data sources and attribution
+
+This dataset was prepared and distributed by **[EmbedEarth](https://embed.earth)** from data contributed to **[OpenStreetMap](https://www.openstreetmap.org/copyright)**.
+
+OpenStreetMap data is available under the **[Open Database License (ODbL) 1.0](https://opendatacommons.org/licenses/odbl/1.0/)**. When using or redistributing the data, retain the OpenStreetMap attribution and follow the applicable ODbL requirements. Record-level media or third-party links may have additional terms set by their original providers.
+
+Suggested attribution:
+
+> Contains information from OpenStreetMap, which is made available under the Open Database License (ODbL). https://www.openstreetmap.org/copyright
+
+## Methodology and limitations
+
+Records were exported from an OpenStreetMap snapshot for 2025. The dataset represents mapped feature coverage, not a complete audit of accessibility conditions. A missing record does not prove that tactile paving is absent, and a mapped record does not independently verify the current condition or installation quality.
+
+OpenStreetMap coverage and tagging vary by place and contributor. Geographic absence should not be interpreted as real-world absence, and mapped presence should not be treated as an independent inspection or operational certification.
+
+## License
+
+The OpenStreetMap-derived database in this repository is made available under the **Open Database License (ODbL) 1.0**. See the [ODbL license text](https://opendatacommons.org/licenses/odbl/1.0/) and [OpenStreetMap attribution guidance](https://www.openstreetmap.org/copyright).
+
+EmbedEarth-created explanatory text and metadata are provided to help users understand the release. Users are responsible for complying with the terms applying to OpenStreetMap data and any underlying third-party media or links.
+
+## Files
+
+- [Parquet](https://huggingface.co/datasets/EmbedEarth/tactile-paving/resolve/main/data.parquet)
+- [GeoJSON](https://huggingface.co/datasets/EmbedEarth/tactile-paving/resolve/main/data.geojson)
+- [CSV](https://huggingface.co/datasets/EmbedEarth/tactile-paving/resolve/main/data.csv)

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embedearth-metadata.json

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+{
+  "version": "v1",
+  "title": "Tactile Paving Features - 2025",
+  "publisher": "EmbedEarth",
+  "repository": "https://huggingface.co/datasets/EmbedEarth/tactile-paving"
+}

manifest.json

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+{
+  "title": "Tactile Paving Features - 2025",
+  "description": "This dataset maps tactile paving features from OpenStreetMap. Tactile paving uses patterned or textured surfaces that can be detected underfoot or with a mobility cane, helping people identify routes, platform edges, crossings, hazards, and changes in walking surfaces. The export contains up to 1,100,000 records and is capped at that size.",
+  "version": "v1",
+  "row_count": 1100000,
+  "files": {
+    "data.parquet": {
+      "path": "https://huggingface.co/datasets/EmbedEarth/tactile-paving/resolve/main/data.parquet",
+      "size_bytes": 2823338028
+    },
+    "data.geojson": {
+      "path": "https://huggingface.co/datasets/EmbedEarth/tactile-paving/resolve/main/data.geojson",
+      "size_bytes": 457125300
+    },
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+      "path": "https://huggingface.co/datasets/EmbedEarth/tactile-paving/resolve/main/data.csv",
+      "size_bytes": 370981684
+    }
+  },
+  "repository": "https://huggingface.co/datasets/EmbedEarth/tactile-paving",
+  "publisher": {
+    "name": "EmbedEarth",
+    "url": "https://embed.earth"
+  }
+}