---
license: cc0-1.0
language:
- en
- es
- it
- fr
- pt
- de
- nl
- sv
- id
- eo
- sw
- vi
- tr
- pl
- cy
- tl
- ga
- mt
- ro
- fi
- hu
- eu
- is
- sq
- mg
- ha
- et
- lv
- lt
- ka
- hy
- yo
- ig
- am
- km
- lo
- ar
- fa
- ur
- hi
- bn
- ru
- uk
- el
- he
- sr
- zh
- ja
- ko
- th
- ms
- ta
- te
- kn
- ml
- si
- ne
- mr
- gu
- pa
- or

tags:
- translation
- machine-translation
- multilingual
- parallel-corpus
- synthetic
- controlled-generation
- low-resource
- low-resource-languages
- parquet
- cc0

task_categories:
- translation

size_categories:
- 100K<n<1M

---
# About
A synthetic multilingual translation dataset generated with GPT-5.5 XHigh.
The goal is to teach AI models accurate translation from English to target languages — ranging from well-documented languages like Spanish and French, to lower-resource languages like Swahili and Yoruba.

# Size
273,980 examples across 61 languages.

# Quality

Each example uses complex sentence structures including subordinate clauses and conditionals, making the data richer and more generalizable than simple phrase datasets. All translations were verified using multi-agent pipelines to ensure quality across all language pairs.
Generation
Synthetically generated and verified using GPT-5.5 XHigh sub-agents.