Use Hugging Face-native dataset file links

README.md

@@ -56,14 +56,11 @@ The `properties` column is a JSON-encoded object containing semantic retrieval a
 | `owner / publisher` | Source owner or publisher when supplied. |
 | `year / month / season / time_of_day` | Temporal context derived from the observation when supplied. |
 
-## Downloads
-
-- [Parquet](https://s3.us-east-005.backblazeb2.com/open-datasets/road-damage/2023,2024,2025/79ef0a0f-de2b-4454-a2fc-139ebbad222a/data.parquet)
-- [GeoJSON](https://s3.us-east-005.backblazeb2.com/open-datasets/road-damage/2023,2024,2025/79ef0a0f-de2b-4454-a2fc-139ebbad222a/data.geojson)
-- [CSV](https://s3.us-east-005.backblazeb2.com/open-datasets/road-damage/2023,2024,2025/79ef0a0f-de2b-4454-a2fc-139ebbad222a/data.csv)
-- [Manifest](https://s3.us-east-005.backblazeb2.com/open-datasets/road-damage/2023,2024,2025/79ef0a0f-de2b-4454-a2fc-139ebbad222a/manifest.json)
-- [Image archive](https://s3.us-east-005.backblazeb2.com/open-datasets/road-damage/2023,2024,2025/79ef0a0f-de2b-4454-a2fc-139ebbad222a/images.zip)
+## Files
 
+- [Parquet](https://huggingface.co/datasets/embedearth/road-damage/resolve/main/data.parquet)
+- [GeoJSON](https://huggingface.co/datasets/embedearth/road-damage/resolve/main/data.geojson)
+- [CSV](https://huggingface.co/datasets/embedearth/road-damage/resolve/main/data.csv)
 ## Data source and attribution
 
 Prepared and distributed by [EmbedEarth](https://embed.earth).

embedearth-metadata.json

@@ -1,7 +1,6 @@
 {
-  "dataset_id": "21",
   "version": "v1",
   "title": "Road Damage — 2023,2024,2025",
-  "source": "EmbedEarth",
-  "source_manifest": "https://eartho.s3.us-east-005.backblazeb2.com/open-datasets/road-damage-turbopuffer/2023,2024,2025/79ef0a0f-de2b-4454-a2fc-139ebbad222a/manifest.json"
+  "publisher": "EmbedEarth",
+  "repository": "https://huggingface.co/datasets/embedearth/road-damage"
 }

manifest.json

@@ -1,53 +1,22 @@
 {
-  "title": "Road Damage Turbopuffer \u2014 2023,2024,2025",
-  "description": "Semantic geospatial dataset for \u201cRoad Damage\u201d, retrieved by Voyage embeddings from regional Turbopuffer indexes for 2023,2024,2025.",
-  "feature_id": null,
-  "source_table": "embed_sv",
-  "generation_type": "query",
-  "query": "Road Damage",
-  "region_scope": "all_countries_plus_us_ca_states",
-  "retrieval_model": "voyage-multimodal-3.5",
-  "release_years": [
-    2023,
-    2024,
-    2025
-  ],
-  "is_snapshot": false,
-  "row_limit": 1100000,
+  "title": "Road Damage — 2023,2024,2025",
+  "description": "This dataset contains geolocated observations selected for the semantic query “Road Damage.” The records were retrieved because their source text, visual context, or metadata matched the query; this is a discovery-oriented collection rather than a complete administrative inventory. It is useful for exploratory mapping, visual search evaluation, geospatial research, and building retrieval or monitoring workflows around road damage. The release contains 25,473 records from 2023, 2024, 2025; matched-observation details are preserved in `properties`, with associated media available through `media_url` when supplied. Prepared and distributed by EmbedEarth from Mapillary and iNaturalist.",
+  "version": "v1",
   "row_count": 25473,
-  "image_count": 3000,
-  "image_sample_size": 3000,
-  "attribution": [
-    {
-      "name": "EmbedEarth",
-      "url": "https://embed.earth"
+  "files": {
+    "data.parquet": {
+      "path": "https://huggingface.co/datasets/embedearth/road-damage/resolve/main/data.parquet"
     },
-    {
-      "name": "Mapillary",
-      "source": "mapillary",
-      "url": "https://www.mapillary.com/app/"
+    "data.geojson": {
+      "path": "https://huggingface.co/datasets/embedearth/road-damage/resolve/main/data.geojson"
     },
-    {
-      "name": "iNaturalist",
-      "source": "gbif",
-      "url": "https://www.inaturalist.org/"
+    "data.csv": {
+      "path": "https://huggingface.co/datasets/embedearth/road-damage/resolve/main/data.csv"
     }
-  ],
-  "sizes_bytes": {
-    "parquet": 85002563,
-    "geojson": 14277355,
-    "csv": 11908210
   },
-  "formats": {
-    "parquet": "https://s3.us-east-005.backblazeb2.com/open-datasets/road-damage-turbopuffer/2023,2024,2025/79ef0a0f-de2b-4454-a2fc-139ebbad222a/data.parquet",
-    "geojson": "https://s3.us-east-005.backblazeb2.com/open-datasets/road-damage-turbopuffer/2023,2024,2025/79ef0a0f-de2b-4454-a2fc-139ebbad222a/data.geojson",
-    "csv": "https://s3.us-east-005.backblazeb2.com/open-datasets/road-damage-turbopuffer/2023,2024,2025/79ef0a0f-de2b-4454-a2fc-139ebbad222a/data.csv"
-  },
-  "images_zip_url": "https://s3.us-east-005.backblazeb2.com/open-datasets/road-damage-turbopuffer/2023,2024,2025/79ef0a0f-de2b-4454-a2fc-139ebbad222a/images.zip",
-  "images_zip_sha256": "cffe83e72e5493afdd5a6a0997b9fda74180a6399b2f0e75dc432c9786f3362c",
-  "sha256": {
-    "parquet": "280b146a5d51c786cb30c0456ad88aefa2c1d46da23828ac4f3374fd0a41379f",
-    "geojson": "8559921c610118157db5c3892cbf402ec809f746a35df3a8e8d1a37625b6bc09",
-    "csv": "931329a17d5c55c1d1fbeec635d2530d768881549417dab6a0c665a6ba8d7fa6"
+  "repository": "https://huggingface.co/datasets/embedearth/road-damage",
+  "publisher": {
+    "name": "EmbedEarth",
+    "url": "https://embed.earth"
   }
-}
+}