sr-tokenizer-test / README.md
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---
license: cc-by-nc-sa-4.0
language:
- sr
pretty_name: Sr Tokenizer test
configs:
- config_name: default
data_files:
- split: train
path:
- '*_train.jsonl'
- split: test
path:
- '*_test.jsonl'
---
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# Sr Tokenizer test
This dataset provides a large Serbian text corpus designed for training and evaluating of tokenizers for Serbian language models.
It combines multiple sources of Serbian text in both Cyrillic and Latin scripts, unified into a consistent JSONL format with id and text fields.
## Dataset Structure
Metadata has been stripped; Each record is a JSON object with:
- id: unique identifier
- text: raw Serbian text
## Source coprora
- [Znanje(sr) corpus](https://huggingface.co/datasets/procesaur/znanje): ~6.6 GB with 700 million words
- [WikiViki(sr) corpus](https://huggingface.co/datasets/procesaur/WikiViki): ~1.5 GB with 135 million words
- [PDRS web corpus](http://hdl.handle.net/11356/1752): ~3.2 GB with 500 million words
total 11.3 GB with 1.3 billion words
#### Splits:
- train.jsonl (75%)
- test.jsonl (25%)
```python
from datasets import load_dataset
dataset = load_dataset("procesaur/sr-tokenizer-test", split="train")
```
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<div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">Editor</div>
<a href="https://huggingface.co/procesaur">
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<div style="text-align: center; font-size: 16px; font-weight: 800">Mihailo Škorić</div>
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<a href="https://huggingface.co/procesaur">
<div style="text-align: center; font-size: 14px;">@procesaur</div>
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Citation:
```bibtex
soon
```
<!--table style="width:100%;height:100%">
ISLRN: 476-040-938-571-9
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<p>Istraživanje je sprovedeno uz podršku Fonda za nauku Republike Srbije, #7276, Text Embeddings – Serbian Language Applications – TESLA.</p>
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<p>This research was supported by the Science Fund of the Republic of Serbia, #7276, Text Embeddings - Serbian Language Applications - TESLA.</p>
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