geonameid int64 296k 13.7M | description large_stringlengths 11 293 ⌀ |
|---|---|
295,776 | Kultak
Turkey
Muğla |
295,777 | Adiguezel | Adıgüzel
Turkey
Siirt |
295,778 | Bayirli | Bayırlı
Turkey
Adıyaman Province |
295,779 | Zurava
Turkey
Şırnak |
295,780 | Zuran
Turkey
Şırnak |
295,781 | Demre | Кале
Turkey
Antalya |
295,782 | Karaisa
Turkey
Antalya |
295,784 | Doluca
Turkey
Erzincan |
295,785 | Zuelfikar | Zülfikar
Turkey
Gaziantep |
295,786 | Isik | Işık
Turkey
Diyarbakır Province |
295,787 | Zagoran
Turkey
Batman |
295,788 | Zugapa
Turkey
Elazığ |
295,789 | Yenicay | Yeniçay | Zübeyir
Turkey
Mersin |
295,790 | Akarkoey | Akarköy
Turkey
Karaman |
295,791 | Zorun
Turkey
Erzincan |
295,792 | Goezluece | Gözlüce
Turkey
Şırnak |
295,793 | Taslidere | Taşlıdere
Turkey
Şanlıurfa |
295,794 | Zorlar
Turkey
Muğla |
295,795 | Yukari Goeren | Yukarı Gören
Turkey
Diyarbakır Province |
295,796 | Zorgecit | Zorgeçit
Turkey
Hakkâri |
295,799 | Zorava
Turkey
Diyarbakır Province |
295,800 | Guenebakan | Günebakan
Turkey
Mardin |
295,801 | Yildiz | Yıldız
Turkey
Şanlıurfa |
295,803 | Akcagedik | Akçagedik
Turkey
Siirt |
295,804 | Zok
Turkey
Şanlıurfa |
295,805 | Zuehrecik | Zührecik
Turkey
Gaziantep |
295,806 | Zugriegnik
Turkey
Diyarbakır Province |
295,807 | Zugrikelkum
Turkey
Diyarbakır Province |
295,808 | Zogni | Zoğni
Turkey
Erzurum |
295,809 | Goerlek | Görlek | Zoğlasır
Turkey
Diyarbakır Province |
295,810 | Mesebaglari | Meşebağları
Turkey
Diyarbakır Province |
295,811 | Karbasti | Karbastı
Turkey
Bitlis |
295,831 | Ziyaretli | Ziyaretçi
Turkey
Aydın |
295,832 | Ziyaret
Turkey
Muş |
295,839 | Ziyaret
Turkey
Tunceli |
295,840 | Ziyaret
Turkey
Diyarbakır Province |
295,841 | Karadağ | Kayadag | Kayadağ
Turkey
Bitlis |
295,842 | Ziyaret
Turkey
Diyarbakır Province |
295,843 | Ziyaret
Turkey
Siirt |
295,844 | Ziyaret | Ziyaretkëy
Turkey
Mardin |
295,845 | Ziyaret | Ziyaretkëy
Turkey
Şırnak |
295,846 | Ziyaret
Turkey
Hatay |
295,847 | Ziyanlar
Turkey
Uşak |
295,848 | Karacavus | Karaçavuş
Turkey
Tunceli |
295,850 | Ziyabeyciftligi | Ziyabeyçiftliği
Turkey
Mersin |
295,851 | Bagyaka | Bağyaka
Turkey
Ankara |
295,852 | Zivink
Turkey
Batman |
295,853 | Zivinkcelik | Zivinkçelik
Turkey
Mardin |
295,854 | Akinci | Akıncı
Turkey
Şanlıurfa |
295,855 | Zivikialimurada
Turkey
Şırnak |
295,856 | Demirsaban
Turkey
Tunceli |
295,857 | UEcoyuk | Üçoyuk
Turkey
Siirt |
295,859 | Zirzanos
Turkey
Bingöl |
295,861 | Kalkancik | Kalkancık
Turkey
Batman |
295,862 | Zirlankaya | Zırlankaya
Turkey
Antalya |
295,863 | Koguktas | Koğuktaş
Turkey
Muş |
295,864 | Tepe | Tepekoey | Tepeköy
Turkey
Muş |
295,867 | Yayikli | Yayıklı
Turkey
Siirt |
295,868 | Zirekli
Turkey
Ağrı |
295,869 | Balli | Ballı | Zirav’ya
Turkey
Şırnak |
295,870 | Ziranis
Turkey
Van |
295,871 | Fatih Mahallesi
Turkey
Ankara |
295,872 | Yokusbasi | Yokuşbaşı
Turkey
Denizli |
295,873 | Zinnap
Turkey
Siirt |
295,874 | Zinekar | Zinekâr
Turkey
Erzincan |
295,876 | Zincirlikuyu
Turkey
Eskişehir |
295,877 | Zincirlikuyu
Turkey
Konya |
295,879 | Zincirli
Turkey
Konya |
295,880 | Zincirkiran | Zincirkıran
Turkey
Van |
295,881 | Zincir
Turkey
Yozgat |
295,884 | Zimak
Turkey
Diyarbakır Province |
295,886 | OEzluece | Özlüce
Turkey
Nevşehir Province |
295,887 | Zile
Turkey
Kayseri |
295,888 | Zilan
Turkey
Batman |
295,889 | Karsibaglar | Karşıbağlar
Turkey
Diyarbakır Province |
295,890 | Kuecuek Mehmet | Küçük Mehmet | Zikirciler
Turkey
Muğla |
295,891 | Cicekalan | Çiçekalan
Turkey
Şanlıurfa |
295,892 | Sucular
Turkey
Şırnak |
295,893 | Zigra | Zığra
Turkey
Kütahya |
295,894 | Zigak
Turkey
Bitlis |
295,895 | Yenikoey | Yeniköy | Ziftlik
Turkey
Mersin |
295,896 | Ziftil
Turkey
Tunceli |
295,898 | Kuerkcueler | Kürkçüler
Turkey
Adana |
295,901 | Ikidegirmen | İkideğirmen
Turkey
Sivas |
295,902 | Aksaray
Turkey
Malatya |
295,903 | Zeyve
Turkey
Denizli |
295,904 | Yavrudogan | Yavrudoğan
Turkey
Antalya |
295,905 | Deviciler | Zeyve
Turkey
Muğla |
295,906 | Erguenkoey | Ergünköy
Turkey
Şanlıurfa |
295,907 | Zeytinliova
Turkey
Manisa |
295,908 | Gölcük | Zeytinlik
Turkey
İzmir Province |
295,912 | Zeytinli
Turkey
Canakkale |
295,913 | Zeytinli
Turkey
Balıkesir |
295,914 | Zeytinli
Turkey
Mardin |
295,915 | Zeytinli
Turkey
Adana |
295,916 | Zeytin
Turkey
İzmir Province |
295,918 | Zeytinkoey | Zeytinköy
Turkey
Aydın |
295,920 | Zeytineli
Turkey
İzmir Province |
295,921 | Zeytindag | Zeytindağ
Turkey
İzmir Province |
295,924 | Zeytinbeli
Turkey
Adana |
geosearch-index
Prebuilt serving artifacts for a multilingual toponym search engine: enough to answer queries with no database of any kind.
| file | what it is |
|---|---|
bm25_index.npz |
character-n-gram BM25 index over 1,190,895 name strings, plus the geonameid groups each name resolves to |
places.parquet |
1,304,659 places — the fields a result needs (name, country, population, feature code, coordinates) |
descriptions.parquet |
1,304,659 candidate documents for the reranker |
manifest.json |
what this build is, and what it was built from |
No pickle. The index is plain numpy arrays loaded with
allow_pickle=False. An earlier format was a pickled object graph, which is
arbitrary code execution on load — acceptable for a file you just wrote
yourself, not for one fetched from a public repo.
These four files are one set
manifest.json carries a build_id, and the two Parquet files are stamped with
it. That is checked at load, because the failure it prevents is silent: a places
table missing a geonameid the index can retrieve does not raise, it just drops
that place from every result it should have won.
build_id d2661ea7-2d41-4ec2-a879-d400579ac766
built_at 2026-08-07T08:39:20+00:00
Scope
| countries | RU, US, TR, CN |
| languages | ru, en, tr, zh |
| excluded feature codes | PPLH, PPLQ, PPLW, PPLX |
Scope is recorded because it decides what is in the corpus, not merely how it is stored — an index built for two countries and served under a config naming four cannot return the missing two, and nothing downstream would notice.
Retrieval is name-level, not place-level
One BM25 document per unique name string, backed by every geonameid carrying it. So "Moscow" is a single document covering the capital and every hamlet sharing the spelling, and they all inherit the same retriever score — homonyms tie at retrieval time by construction. Disambiguation is deferred to the population tiebreak and the reranker, not solved by the retriever.
IDF is pinned to 1, making the score pure term-frequency saturation over shared character n-grams: deliberately tolerant of transliteration and fuzzy spelling across ru, en, tr, zh, at the cost of rare-term weighting.
Checksums
bm25_index.npz 8e3e27f14c9487dd3b21c247ddc0ecebf47ba8722b3c2e598366e59a35e28dd3
places.parquet e80fda97872e55a7e9ab33e990b0ec23f0dddd21901dfec5704c38b75e07b999
descriptions.parquet 6866300937684468e5d1b8d56009c0c358c2e2eed104cfc1363c358fc1694e96
Data licence and attribution
Derived from GeoNames, licensed CC BY 4.0.
Modifications made to the source data:
- filtered to populated places only (
feature_class = 'P') - restricted to RU, US, TR, CN
- restricted to name variants in ru, en, tr, zh
- dropped feature codes PPLH, PPLQ, PPLW, PPLX
- name variants grouped per place and joined into single document strings
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