metadata
task_categories:
- fill-mask
language:
- ro
pretty_name: ro-sentences
tags:
- ro
- romanian
- text
- sentences
- corpus
- monolingual
- language-modeling
- masked-language-modeling
- pretraining
- large
size_categories:
- 100M<n<1B
Romanian Sentences (BlackKakapo/ro-sentences)
A large-scale corpus of Romanian sentences, created by processing and splitting public text datasets into sentence-level units.
The main purpose of this dataset is to support Masked Language Modeling (MLM), continual pretraining, semantic textual similarity (STS), and other NLP tasks in Romanian.
📚 Data Sources
This corpus was built from the following datasets:
statmt/cc100– large-scale web crawl.wikimedia/wikipedia– Romanian Wikipedia articles.dumitrescustefan/diacritic– cleaned and re-diacritized Romanian text.agentlans/multilingual-sentences– multilingual sentences including Romanian subsets.
Processing
- All text was split into sentences using simple segmentation rules.
- Only clean sentences were kept, with normalized Unicode characters.
- Very short sentences (e.g. one word) were removed.
- Whitespace and separators were standardized.
📊 Statistics
- Disk size: ~70GB (available in Parquet shards [47GB]).
- Total number of sentences: 708,341,932.
- Total number of words: 11,224,484,077.
- Average sentence length: 15.85 words/sentence.
🧾 Schema
Each row contains a single sentence:
{
"text": "This is an example sentence in Romanian."
}