Card: point load examples at 2026-09

README.md

@@ -22,7 +22,7 @@ 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: `2026-08`**
+**Current release: `2026-09`**
 
 ## What's in each row (`/24` prefix)
 
@@ -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_2026-08_iso-ALL.parquet"
+    "hf://datasets/ProdIPData/ip-locations/prefix_attributes_2026-09_iso-ALL.parquet"
 )
 
 # duckdb (query without loading it all into memory)
 import duckdb
 duckdb.sql("""
   SELECT CountryCode, COUNT(*) AS prefixes
-  FROM 'prefix_attributes_2026-08_iso-ALL.parquet'
+  FROM 'prefix_attributes_2026-09_iso-ALL.parquet'
   GROUP BY 1 ORDER BY 2 DESC LIMIT 10
 """).show()