id large_stringclasses 7 values | sentence large_stringclasses 7 values | source large_stringclasses 1 value |
|---|---|---|
isv-0001 | Ljudi govoręt, že v tamtoj dènj bylo veliko spokojno. | nnnbo |
isv-0002 | Čisto nebo bylo jasno, a oblåky šli pomalo, nesene legkym větrom. | nnnbo |
isv-0003 | Ptice, ktore sųt ješče ne poletěli do Raja, pěvali krasno posrěd žòlto-oranževyh drěv. | nnnbo |
isv-0004 | Jesenj råzlivala sę v světu i pomalo, pomalo prinosila ona na Zemjų hlåd i pŕvy zimovy mråz. | nnnbo |
isv-0005 | Ljudi govoręt, že v taky dènj prišla Črvena Iskra. | nnnbo |
isv-0006 | Ja ne zamnogo dobro pamętajų tutoj dènj, ale znajų ja, že to, čto govoręt ljudi, ne jest točno pravda. | nnnbo |
isv-0007 | Ale takože ja råzumějų, začto oni jego tako pamętajųt. | nnnbo |
Interslavic MT Data
A data-only repository: the canonical parallel corpus for training machine translation involving Interslavic. Maintained by the InterSlavic Linguistic Forum Foundation (ISLF).
We provide validated Interslavic sentences and host parallel translations from the community. We do not ship training code; others build their own repos and train on this data. At most, this repo has small scripts for validation, format checks, and conversion.
Goal: Quality governance — so that models marketed as "Interslavic" meet a clear standard and uncertified ones are clearly distinguished.
Contents
| Path | Description |
|---|---|
monolingual/isv_sentences.parquet |
Single source of truth: Interslavic sentence id, text, and source. All rows verified before merge. |
parallel/*.parquet |
One Parquet per language pair (e.g. isv-eng.parquet). Each row references an id from the monolingual set. |
scripts/ |
Format validation and optional conversion tools. |
Format: Parquet only (columnar, compact, streamable).
Data formats
- Monolingual (
monolingual/isv_sentences.parquet): columnsid,sentence,source. License per source is documented (e.g. in CONTRIBUTING or SOURCES.md). - Parallel (
parallel/isv-{lang}.parquet): columnsid,isv,target,translator,method(human/machine_raw/machine_postedited),review_status. Everyidmust exist in the monolingual set;isvmust match exactly.
Licensing
- Data: ISLF Open Data License v1.0 — open use with mandatory certification requirement for models. If you train a model on this data, you must either get ISLF certification OR display a prominent disclaimer. This is a license condition, not optional.
- Scripts/tooling: MIT License.
- Quick summary: DATA-USE-AGREEMENT.md explains your obligations in plain language.
How to use
- Clone the repo and read CONTRIBUTING.md for format and PR rules.
- Use the Parquet files in your own training pipeline. Each parallel file references
ids frommonolingual/isv_sentences.parquet. - If you publish a model that produces Interslavic output, comply with the DATA-USE-AGREEMENT (attribution, certification or disclaimer).
Validation
From the repo root:
pip install -r requirements.txt
python scripts/validate_corpus.py
Run this before committing changes to monolingual/ or parallel/.
Certification (ISLF)
ISLF certifies output quality of models (like a language exam), not the software.
- Certified models may use the "Certified by ISLF" mark
- Uncertified models MUST display a mandatory disclaimer (see LICENSE.md §3.3)
- Violations result in license termination and public identification
A public registry of certified models will be maintained. Certification criteria will be published separately. Contact ISLF to begin the certification process.
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