Card: bump to 2026-08, finish rebrand (fix broken load paths geoip-locations -> ip-locations, drop GeoIP branding/tag, prodipdata.com links, add trademark disclaimer)

README.md

@@ -2,7 +2,7 @@
 license: cc-by-4.0
 language:
   - en
-pretty_name: "ProdIPData — Monthly IPv4 IP Geolocation Dataset"
+pretty_name: "ProdIPData — Monthly IPv4 Geolocation Dataset"
 tags:
   - ip-geolocation
   - ipv4
@@ -18,16 +18,14 @@ size_categories:
   - 10M<n<100M
 ---
 
-
-# ProdIPData — Monthly IPv4 IP Geolocation Dataset
-
+# ProdIPData — Monthly IPv4 Geolocation Dataset
 
 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`**
 
 ## What's in each row (`/24` prefix)
 
-
 | Group | Fields |
 | --- | --- |
 | **Geolocation** | `CountryCode`, `ContinentCode`, `IsInEU`, `RegionName` (ISO 3166-2), `CityName`, `Latitude`, `Longitude`, `AccuracyRadius`, `TimeZone` |
@@ -36,68 +34,55 @@ A free, monthly dataset of the **routed IPv4 address space** at **`/24` granular
 | **Registry (RIR)** | `RIR` (ARIN/RIPE/APNIC/LACNIC/AFRINIC), `RIRAllocationDate`, `RIRStatus` |
 | **Risk signals** | `HasC2`, `C2Malwares`, `IsTor`, `Anonymization`, bogon flags |
 
-
 Key column: `IP24Prefix` (e.g. `8.8.8.0/24`).
 
-
 ## Coverage
 
-
 - **14M+** routed `/24` prefixes · **240+** countries · **~3.7B** IPv4 addresses represented
 - Coordinates spatially validated against public-domain **Natural Earth** boundaries (~99.97% country-level match)
-- Updated **monthly**; each release is tagged by month (`YYYY-MM`)
-
+- Updated **monthly**; each release is tagged by month (`YYYY-MM`) and kept, so the history accumulates
 
 ## Load it
 
-
 ```python
 # pandas — read straight from the Hub
 import pandas as pd
 df = pd.read_parquet(
-    "hf://datasets/ProdIPData/ip-locations/prefix_attributes_2026-07_iso-ALL.parquet"
+    "hf://datasets/ProdIPData/ip-locations/prefix_attributes_2026-08_iso-ALL.parquet"
 )
 
-
 # duckdb (query without loading it all into memory)
 import duckdb
 duckdb.sql("""
   SELECT CountryCode, COUNT(*) AS prefixes
-  FROM 'prefix_attributes_2026-07_iso-ALL.parquet'
+  FROM 'prefix_attributes_2026-08_iso-ALL.parquet'
   GROUP BY 1 ORDER BY 2 DESC LIMIT 10
 """).show()
 
-
 # Hugging Face datasets
 from datasets import load_dataset
 ds = load_dataset("ProdIPData/ip-locations")
 ```
 
-
 ## Formats
 
-
-Also published as **CSV** and **MMDB** (MaxMind DB compatible format) at https://prodipdata.com/downloads.html. The site additionally offers an in-browser **Prefix Lookup** (resolves any IP/•`/24` client-side, nothing sent to a server) and density / region maps.
-
+Also published as **CSV** and **MMDB** (MaxMind DB compatible) at https://prodipdata.com/downloads.html. The site additionally offers an in-browser **Prefix Lookup** (resolves any IP/​`/24` client-side, nothing sent to a server) and density / region maps.
 
 ## Limitations
 
-
-- Geolocation is **derived** from upstream sources including MaxMind and the RIRs, merged monthly — it is a **snapshot, not real-time**, and only as accurate as those sources.
-- **Low-confidence blocks fall back to country-level centroids.** For example `8.8.8.8` resolves to the US geographic centre, not Mountain View. The `AccuracyRadius` field (in km) now makes this precision **explicit**, so country-level fallbacks are visible rather than implied.
+- Geolocation is **derived** from MaxMind, the RIRs and other upstream sources merged monthly — it is a **snapshot, not real-time**, and only as accurate as those sources.
+- **Low-confidence blocks fall back to country-level centroids.** For example `8.8.8.8` resolves to the US geographic centre, not Mountain View. The `AccuracyRadius` field (in km) makes this precision **explicit**, so country-level fallbacks are visible rather than implied.
 - `/24` granularity: attributes describe the block, not individual hosts.
 
-
 ## Attribution
 
-
 Please credit **ProdIPData (prodipdata.com)** under **CC BY 4.0**. Country/region boundaries © **Natural Earth** (public domain).
 
-
-MaxMind and GeoIP are registered trademarks of MaxMind, Inc. ProdIPData is not affiliated with or endorsed by MaxMind.
-
-
 - Website: https://prodipdata.com
 - Downloads: https://prodipdata.com/downloads.html
 - Methodology: https://prodipdata.com/methodology.html
+- Contact: contact@prodipdata.com
 
+---
+
+MaxMind and GeoIP are registered trademarks of MaxMind, Inc. ProdIPData is not affiliated with or endorsed by MaxMind.