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Datasets:
owgreen-dev
/
uistringbench

Tasks:
Text Classification
Translation
Modalities:
Text
Formats:
json
Languages:
English
Spanish
German
Size:
< 1K
Tags:
i18n
localization
translation-quality
llm-as-judge
benchmark
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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Dataset Viewer
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c001
es
← Back to Blog
← Volver al blog
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c002
es
← Back to Home
← Volver a Inicio
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c003
es
Try Shipi18n Free →
Prueba Shipi18n gratis →
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c004
es
Get started with Shipi18n for free. No credit card required.
Empieza a usar Shipi18n gratis. No necesitas tarjeta de crédito.
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c005
es
Ready to automate your translations?
¿Estás listo para automatizar tus traducciones?
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c006
es
No articles yet. Check back soon!
Aún no hay artículos. ¡Vuelve pronto!
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c007
es
Tips, tutorials, and insights on i18n and localization for developers.
Consejos, tutoriales y conocimientos sobre i18n y localización para desarrolladores.
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c008
es
Tutorials and guides on i18next, React i18n, Next.js localization, and translation automation for developers.
Aprenda sobre internacionalización, buenas prácticas de localización, consejos de i18next y flujos de trabajo de traducción. Perspectivas de expertos para crear aplicaciones multilingües.
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c009
es
i18n & Localization Blog | Shipi18n
Blog - API de traducción de Shipi18n
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c010
es
The article you're looking for doesn't exist.
El artículo que estás buscando no existe.
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c011
es
© {{year}} Shipi18n. All rights reserved.
© {{year}} Shipi18n. Todos los derechos reservados.
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c012
es
Open-source localization. Bring your own LLM.
Localización de código abierto. Usa tu propio LLM.
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c013
es
Build-time caching means a rebuild costs nothing when your strings haven't changed.
El almacenamiento en caché en tiempo de compilación hace que una recompilación no cueste nada cuando tus cadenas no han cambiado.
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c014
es
Run it in CI with the GitHub Action and commit the result, or open a pull request for review.
Ejecútalo en CI con la GitHub Action y haz commit del resultado, o abre un pull request para su revisión.
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c015
es
Translation belongs in the same place as the rest of your build — not in a browser tab someone has to remember to open.
La traducción debe estar en el mismo lugar que el resto de tu build, no en una pestaña del navegador que alguien tiene que acordarse de abrir.
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c016
es
Incremental by default: only new and changed keys are sent to the model.
Incremental por defecto: solo se envían al modelo las claves nuevas y modificadas.
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c017
es
Wire it into your build
Intégralo en tu build
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c018
es
No signup, no config file, no waiting for an API key to be approved.
Sin registro, sin archivo de configuración, sin esperar a que se apruebe una clave de API.
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c019
es
Apache-2.0 · works with Anthropic and OpenAI · MCP server included
Apache-2.0 · funciona con Anthropic y OpenAI · servidor MCP incluido
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c020
es
Translate your first file in a minute
Traduce tu primer archivo en un minuto
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c021
es
The packages are free and Apache-2.0 licensed. You pay your LLM provider for the tokens you use, at their prices, with nothing added on top. Translating a typical locale file into a handful of languages costs a few cents.
Los paquetes son gratuitos y con licencia Apache-2.0. Pagas a tu proveedor de LLM por los tokens que usas, a sus precios, sin nada añadido encima. Traducir un archivo de idioma típico a unos pocos idiomas cuesta unos pocos céntimos.
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c022
es
What does it cost?
¿Cuánto cuesta?
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c023
es
Into your environment, and from there straight to your provider. There is no Shipi18n server in the path — we never see your key or your strings. The one exception is the MCP server's sampling mode, which uses no key at all.
A tu entorno, y desde ahí directamente a tu proveedor. No hay ningún servidor de Shipi18n en el camino: nunca vemos tu clave ni tus cadenas. La única excepción es el modo de muestreo del servidor MCP, que no usa clave alguna.
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c024
es
Where does my API key go?
¿Adónde va mi clave de API?
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c025
es
Any language your model speaks — there is no per-language list to buy into. Regional variants like pt-BR fall back to pt when you want them to.
Cualquier idioma que tu modelo hable: no hay una lista por idioma a la que suscribirse. Las variantes regionales como pt-BR recurren a pt cuando así lo quieres.
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c026
es
How many languages can it handle?
¿Cuántos idiomas puede manejar?
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c027
es
Anthropic and OpenAI ship in the box. Any object with a complete(prompt) method is a valid adapter, so a local model, a proxy or an internal gateway takes about ten lines to wire up.
Anthropic y OpenAI vienen incluidos. Cualquier objeto con un método complete(prompt) es un adaptador válido, así que un modelo local, un proxy o una puerta de enlace interna se conectan en unas diez líneas.
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c028
es
Which providers are supported?
¿Qué proveedores son compatibles?
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c029
es
It's whatever your model produces, guided by prompts tuned for locale files rather than prose — the translator is told about neighbouring keys, placeholders and the fact that it's translating UI. Judge it from this site, which is translated the same way.
Es lo que produzca tu modelo, guiado por prompts ajustados para archivos de idioma en lugar de prosa: al traductor se le informa sobre las claves vecinas, los marcadores de posición y el hecho de que está traduciendo una interfaz. Júzgalo por este sitio, que está traducido de la misma manera.
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c030
es
Is the output actually good?
¿Es realmente buena la salida?
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c031
es
© {{year}} Shipi18n. All rights reserved.
© {{year}} Shipi18n. Todos los derechos reservados.
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c032
es
Open-source localization. Bring your own LLM.
Localización de código abierto. Usa tu propio LLM.
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c033
es
v2 is out — free and open source
v2 ya está disponible — gratis y de código abierto
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c034
es
Set ANTHROPIC_API_KEY or OPENAI_API_KEY and you're done.
Configura ANTHROPIC_API_KEY o OPENAI_API_KEY y listo.
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c035
es
A thin, well-tested layer over the model you already pay for. No account, no hosted API, no per-word pricing — your strings go straight from your machine to your provider.
Una capa ligera y bien probada sobre el modelo que ya pagas. Sin cuenta, sin API alojada, sin precios por palabra: tus cadenas van directamente desde tu máquina a tu proveedor.
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c036
es
Translate your locale files
Traduce tus archivos de idioma
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c037
es
with your own LLM
con tu propio LLM
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c038
es
View @shipi18n/mcp on npm
Ver @shipi18n/mcp en npm
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c039
es
Add the MCP server to Claude Desktop, Cursor or any MCP client and translate locale files by asking for it — no context switch, no separate tool.
Añade el servidor MCP a Claude Desktop, Cursor o cualquier cliente MCP y traduce archivos de idioma con solo pedirlo: sin cambiar de contexto, sin herramienta aparte.
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c040
es
It works with no API key at all.
Funciona sin ninguna clave de API.
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c041
es
With MCP sampling, the model already running in your client does the translation, so there is nothing to configure and nothing to pay for.
Con el muestreo de MCP, el modelo que ya se ejecuta en tu cliente hace la traducción, así que no hay nada que configurar ni nada que pagar.
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c042
es
Translate from your editor
Traduce desde tu editor
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c043
es
Translate your locale files with your own OpenAI or Anthropic key. Open source, no account, no per-word fees. CLI, MCP server, Vite plugin and GitHub Action.
Traduce tus archivos de idioma con tu propia clave de OpenAI o Anthropic. Código abierto, sin cuenta, sin tarifas por palabra. CLI, servidor MCP, plugin de Vite y GitHub Action.
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c044
es
Shipi18n — Open-source i18n translation with your own LLM
Shipi18n — Traducción i18n de código abierto con tu propio LLM
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c045
es
Keep translations in sync automatically on every push or pull request.
Mantén las traducciones sincronizadas automáticamente en cada push o pull request.
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c046
es
Translate locale files from your terminal or a script.
Traduce archivos de idioma desde tu terminal o un script.
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c047
es
The engine itself — use it directly in Node.
El motor en sí: úsalo directamente en Node.
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c048
es
Translate from Claude Desktop, Cursor or any MCP client.
Traduce desde Claude Desktop, Cursor o cualquier cliente MCP.
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c049
es
Use the one that fits your workflow — they all share the same translation core.
Usa el que se adapte a tu flujo de trabajo: todos comparten el mismo núcleo de traducción.
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c050
es
Five packages, one engine
Cinco paquetes, un motor
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c051
es
Translate at build time, with caching, as part of your Vite build.
Traduce en tiempo de compilación, con caché, como parte de tu compilación de Vite.
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c052
es
Interpolation, printf tokens, i18next references and inline HTML are extracted before the request and validated after it. If a placeholder goes missing, you get a warning instead of a broken string in production.
La interpolación, los tokens de printf, las referencias de i18next y el HTML en línea se extraen antes de la solicitud y se validan después. Si falta un marcador de posición, recibes una advertencia en lugar de una cadena rota en producción.
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c053
es
The reason machine-translated locale files break in production is that the model rewrites the parts that aren't prose. Ours don't.
La razón por la que los archivos de idioma traducidos automáticamente fallan en producción es que el modelo reescribe las partes que no son texto. Los nuestros no.
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c054
es
Placeholders survive the round trip
Los marcadores de posición sobreviven al viaje de ida y vuelta
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c055
es
Everything you're reading exists in 11 languages, and every one of them was produced by the tool this page is about. Use the language switcher at the top and read it in Arabic, Japanese or German.
Todo lo que estás leyendo existe en 11 idiomas, y cada uno de ellos fue generado por la herramienta de la que trata esta página. Usa el selector de idioma de arriba y léela en árabe, japonés o alemán.
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c056
de
← Back to Blog
← Zurück zum Blog
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c057
de
← Back to Home
← Zurück zur Startseite
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c058
de
Try Shipi18n Free →
Shipi18n kostenlos testen →
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c059
de
Get started with Shipi18n for free. No credit card required.
Starte jetzt kostenlos mit Shipi18n. Keine Kreditkarte erforderlich.
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c060
de
Ready to automate your translations?
Sind Sie bereit, Ihre Übersetzungen zu automatisieren?
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c061
de
No articles yet. Check back soon!
Noch keine Artikel. Schauen Sie bald wieder vorbei!
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c062
de
Tips, tutorials, and insights on i18n and localization for developers.
Tipps, Anleitungen und Einblicke zu Internationalisierung und Lokalisierung für Entwickler.
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c063
de
Tutorials and guides on i18next, React i18n, Next.js localization, and translation automation for developers.
Erfahren Sie mehr über Internationalisierung, Best Practices für die Lokalisierung, Tipps zu i18next und Übersetzungs-Workflows. Expertenwissen für die Entwicklung mehrsprachiger Anwendungen.
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c064
de
i18n & Localization Blog | Shipi18n
Blog – Shipi18n Übersetzungs-API
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c065
de
The article you're looking for doesn't exist.
Der gesuchte Artikel existiert nicht.
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c066
de
© {{year}} Shipi18n. All rights reserved.
© {{year}} Shipi18n. Alle Rechte vorbehalten.
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c067
de
Open-source localization. Bring your own LLM.
Open-Source-Lokalisierung. Verwenden Sie Ihr eigenes LLM.
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c068
de
Build-time caching means a rebuild costs nothing when your strings haven't changed.
Durch Caching zur Build-Zeit kostet ein Neubau nichts, wenn sich Ihre Strings nicht geändert haben.
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c069
de
Run it in CI with the GitHub Action and commit the result, or open a pull request for review.
Führen Sie es in CI mit der GitHub Action aus und committen Sie das Ergebnis, oder öffnen Sie einen Pull Request zur Überprüfung.
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c070
de
Translation belongs in the same place as the rest of your build — not in a browser tab someone has to remember to open.
Übersetzungen gehören an denselben Ort wie der Rest Ihres Builds – nicht in einen Browser-Tab, an dessen Öffnen sich jemand erinnern muss.
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c071
de
Incremental by default: only new and changed keys are sent to the model.
Standardmäßig inkrementell: Nur neue und geänderte Schlüssel werden an das Modell gesendet.
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c072
de
Wire it into your build
Binden Sie es in Ihren Build ein
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c073
de
No signup, no config file, no waiting for an API key to be approved.
Keine Anmeldung, keine Konfigurationsdatei, kein Warten auf die Freigabe eines API-Schlüssels.
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c074
de
Apache-2.0 · works with Anthropic and OpenAI · MCP server included
Apache-2.0 · funktioniert mit Anthropic und OpenAI · MCP-Server enthalten
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c075
de
Translate your first file in a minute
Übersetzen Sie Ihre erste Datei in einer Minute
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c076
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The packages are free and Apache-2.0 licensed. You pay your LLM provider for the tokens you use, at their prices, with nothing added on top. Translating a typical locale file into a handful of languages costs a few cents.
Die Pakete sind kostenlos und unter Apache-2.0 lizenziert. Sie zahlen Ihren LLM-Anbieter für die Tokens, die Sie verbrauchen, zu dessen Preisen, ohne Aufschlag. Die Übersetzung einer typischen Locale-Datei in eine Handvoll Sprachen kostet nur wenige Cent.
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c077
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What does it cost?
Was kostet es?
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c078
de
Into your environment, and from there straight to your provider. There is no Shipi18n server in the path — we never see your key or your strings. The one exception is the MCP server's sampling mode, which uses no key at all.
In Ihre Umgebung und von dort direkt zu Ihrem Anbieter. Es gibt keinen Shipi18n-Server auf dem Weg – wir sehen Ihren Schlüssel oder Ihre Strings nie. Die einzige Ausnahme ist der Sampling-Modus des MCP-Servers, der überhaupt keinen Schlüssel verwendet.
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c079
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Where does my API key go?
Wohin geht mein API-Schlüssel?
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c080
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Any language your model speaks — there is no per-language list to buy into. Regional variants like pt-BR fall back to pt when you want them to.
Jede Sprache, die Ihr Modell beherrscht – es gibt keine Sprachliste, die Sie erwerben müssen. Regionale Varianten wie pt-BR greifen auf pt zurück, wenn Sie das möchten.
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c081
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How many languages can it handle?
Wie viele Sprachen kann es verarbeiten?
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c082
de
Anthropic and OpenAI ship in the box. Any object with a complete(prompt) method is a valid adapter, so a local model, a proxy or an internal gateway takes about ten lines to wire up.
Anthropic und OpenAI sind bereits integriert. Jedes Objekt mit einer complete(prompt)-Methode ist ein gültiger Adapter, sodass die Anbindung eines lokalen Modells, eines Proxys oder eines internen Gateways nur etwa zehn Zeilen benötigt.
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c083
de
Which providers are supported?
Welche Anbieter werden unterstützt?
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c084
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It's whatever your model produces, guided by prompts tuned for locale files rather than prose — the translator is told about neighbouring keys, placeholders and the fact that it's translating UI. Judge it from this site, which is translated the same way.
Es ist das, was Ihr Modell produziert, geleitet von Prompts, die auf Locale-Dateien statt auf Fließtext abgestimmt sind – dem Übersetzer werden benachbarte Schlüssel, Platzhalter und die Tatsache mitgeteilt, dass er UI übersetzt. Urteilen Sie anhand dieser Seite, die auf die gleiche Weise übersetzt wurde.
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c085
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Is the output actually good?
Ist die Ausgabe wirklich gut?
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c086
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© {{year}} Shipi18n. All rights reserved.
© {{year}} Shipi18n. Alle Rechte vorbehalten.
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c087
de
Open-source localization. Bring your own LLM.
Open-Source-Lokalisierung. Bring dein eigenes LLM mit.
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c088
de
v2 is out — free and open source
v2 ist da — kostenlos und Open Source
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c089
de
Set ANTHROPIC_API_KEY or OPENAI_API_KEY and you're done.
Setze ANTHROPIC_API_KEY oder OPENAI_API_KEY und du bist fertig.
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c090
de
A thin, well-tested layer over the model you already pay for. No account, no hosted API, no per-word pricing — your strings go straight from your machine to your provider.
Eine schlanke, gründlich getestete Schicht über dem Modell, für das du bereits bezahlst. Kein Konto, keine gehostete API, keine Abrechnung pro Wort — deine Strings gehen direkt von deinem Rechner zu deinem Anbieter.
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c091
de
Translate your locale files
Übersetze deine Sprachdateien
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c092
de
with your own LLM
mit deinem eigenen LLM
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c093
de
View @shipi18n/mcp on npm
@shipi18n/mcp auf npm ansehen
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c094
de
Add the MCP server to Claude Desktop, Cursor or any MCP client and translate locale files by asking for it — no context switch, no separate tool.
Füge den MCP-Server zu Claude Desktop, Cursor oder einem beliebigen MCP-Client hinzu und übersetze Sprachdateien, indem du einfach danach fragst — kein Kontextwechsel, kein separates Tool.
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c095
de
It works with no API key at all.
Es funktioniert ganz ohne API-Schlüssel.
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c096
de
With MCP sampling, the model already running in your client does the translation, so there is nothing to configure and nothing to pay for.
Mit MCP-Sampling übernimmt das bereits in deinem Client laufende Modell die Übersetzung, sodass es nichts zu konfigurieren und nichts zu bezahlen gibt.
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c097
de
Translate from your editor
Übersetze aus deinem Editor
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c098
de
Translate your locale files with your own OpenAI or Anthropic key. Open source, no account, no per-word fees. CLI, MCP server, Vite plugin and GitHub Action.
Übersetze deine Sprachdateien mit deinem eigenen OpenAI- oder Anthropic-Schlüssel. Open Source, kein Konto, keine Gebühren pro Wort. CLI, MCP-Server, Vite-Plugin und GitHub Action.
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c099
de
Shipi18n — Open-source i18n translation with your own LLM
Shipi18n — Open-Source-i18n-Übersetzung mit deinem eigenen LLM
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c100
de
Keep translations in sync automatically on every push or pull request.
Halten Sie Übersetzungen bei jedem Push oder Pull Request automatisch synchron.
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End of preview. Expand in Data Studio

UIStringBench

A benchmark for detecting translation errors in software UI strings.

Machine and LLM translation of locale files fails in ways generic MT benchmarks don't measure: dropped or invented placeholders, collapsed plurals, and — hardest of all — fluent translations that state something the source doesn't (the Spanish that says "could not be saved" for "were saved successfully"). As of September 2026 there is no standardized public benchmark for this error class. UIStringBench is a first attempt at one.

What's in it

Each row is a source/translation pair from the software-UI domain with a gold label:

field description
id stable pair id
lang target language (es, de, ja)
source English source string
translation candidate translation
label clean | mistranslation | omission | addition | glossary
split public

Public split: 228 pairs — 168 clean (drawn from real shipped production locale files, including adversarial pairs whose content looks like instructions or JSON), 54 planted errors (18 per category), and 6 glossary violations (deterministically checkable against the included glossary.json; no model involved).

Held-out split: 60 pairs, private. Kept out of this repository as a contamination defense; leaderboard results report both splits separately. Composition mirrors the public split (42 clean / 6+6+6 planted, no glossary items).

Provenance — why you can trust the labels (and how far)

  • The public corpus was committed to git (Shipi18n/shipi18n@60d699b, 2026-08-16) before the judge that consumes it was written, and the evaluation thresholds were fixed before implementation. Pre-registration is the credibility spine of this dataset.
  • Labels were not revised after seeing model results. In published runs, roughly a quarter of the judge's "false positives" turned out to be the judge being right about pairs mislabelled clean — they are still counted against the judge, because a corpus you edit after seeing results is not a corpus.
  • Honest limitations: three language pairs; one domain (UI strings, mostly from one product's site); corpus and held-out split authored by the tool's maintainer with LLM assistance. Planted errors are deliberate and unambiguous — real-world drift is subtler. Treat scores as an engineering QA signal, not a validated academic metric (the GEMBA authors' caution applies here too).

Related work

  • GEMBA-MQM (Kocmi & Federmann, WMT 2023) and successors (RUBRIC-MQM, GEMBA v2): LLM-as-judge MT evaluation on generic sentence pairs. UIStringBench differs in domain (locale files: placeholders, plurals, short ambiguous strings) and in shipping as a runnable dev-tool harness.
  • Last Translation Benchmark: live, crowd-sourced hard-to-translate examples — general MT, not UI strings or structural failure modes. Adjacent, not overlapping.
  • COMET/xCOMET: learned MT metrics on sentence pairs; multi-GB downloads, no locale-file awareness.

Running it

The harness lives in the Shipi18n repo under evals/semantic/:

git clone https://github.com/Shipi18n/shipi18n && cd shipi18n
JUDGE_MODEL=<your-model> node evals/semantic/run.mjs

The judge design being measured: 3-pass majority vote, MQM-style category output (mistranslation / omission / addition) rather than scalar scores, structural-first filtering. Item-level results are published with each leaderboard release.

Versioning

v1 (2026-09). New languages and formats (gettext, ICU plurals) will widen future versions; saturated versions will be re-cut rather than silently edited. Maintainer: the Shipi18n project. Issues and label disputes: GitHub issues.
Downloads last month
-
Number of rows:
228
Total file size:
64.8 kB