Update README.md

README.md

@@ -16,36 +16,33 @@ configs:
 
 <!--img src="cover.png" class="cover"-->
 
-
+# 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.
 
-
-```python
-from datasets import load_dataset
-dataset = load_dataset("procesaur/cirilica")
-cirlicni_tekstovi = [record["text_cyr"] for record in dataset]
-latinicni_tekstovi = [record["text_lat"] for record in dataset]
-```
-
 ## Dataset Structure
 Metadata has been stripped; Each record is a JSON object with:
 
 - id: unique identifier
 - text: raw Serbian text
 
-Splits:
-- train.jsonl (75%)
-- test.jsonl (25%)
-
 ## Source coprora
 
-- [Znanje corpus](https://huggingface.co/datasets/procesaur/znanje): ~6.6 GB with 700 million words  
+- [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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