8BitStudio/TowerOfBabel
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… See the full description on the dataset page: https://huggingface.co/datasets/8BitStudio/TowerOfBabel.
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. some examples may be incorrect due to this being such a large synthetic dataset