Card: point load examples at 2026-10

README.md

@@ -22,13 +22,13 @@ size_categories:
 
 A free, monthly dataset of the **routed IPv4 address space** at **`/24` granularity** — one row per `/24` prefix — covering geolocation, network/ASN, ownership, registry and risk attributes. Maintained by **ProdIPData** and mirrored from **https://prodipdata.com**. Licensed **CC BY 4.0** (free to use, including commercially, with attribution).
 
-**Current release: `2026-09`**
+**Current release: `2026-10`**
 
 ## What's in each row (`/24` prefix)
 
 | Group | Fields |
 | --- | --- |
-| **Geolocation** | `CountryCode`, `ContinentCode`, `IsInEU`, `RegionName` (ISO 3166-2), `CityName`, `Latitude`, `Longitude`, `AccuracyRadius`, `TimeZone` |
+| **Geolocation** | `CountryCode`, `ContinentCode`, `IsInEU`, `RegionCode` (ISO 3166-2), `RegionName`, `CityName`, `CityNameAscii`, `CityGeonameId` (GeoNames ID), `CityFeatureCode` (GeoNames place type), `Latitude`, `Longitude`, `AccuracyRadius`, `TimeZone` |
 | **Network / ASN** | `ASNID`, `ASNName`, `ASNOrg`, `ASNDomain`, `ASNType` (ISP / hosting / business / education / government) |
 | **Ownership (WHOIS)** | `Company`, `CompanyCountry`, `WhoisNetName`, `AbuseContact` |
 | **Registry (RIR)** | `RIR` (ARIN/RIPE/APNIC/LACNIC/AFRINIC), `RIRAllocationDate`, `RIRStatus` |
@@ -48,14 +48,14 @@ Key column: `IP24Prefix` (e.g. `8.8.8.0/24`).
 # pandas — read straight from the Hub
 import pandas as pd
 df = pd.read_parquet(
-    "hf://datasets/ProdIPData/ip-locations/prefix_attributes_2026-09_iso-ALL.parquet"
+    "hf://datasets/ProdIPData/ip-locations/prefix_attributes_2026-10_iso-ALL.parquet"
 )
 
 # duckdb (query without loading it all into memory)
 import duckdb
 duckdb.sql("""
   SELECT CountryCode, COUNT(*) AS prefixes
-  FROM 'prefix_attributes_2026-09_iso-ALL.parquet'
+  FROM 'prefix_attributes_2026-10_iso-ALL.parquet'
   GROUP BY 1 ORDER BY 2 DESC LIMIT 10
 """).show()