Update README.md

README.md

@@ -275,7 +275,7 @@ language:
 
 ### Dataset Description
 
-This dataset contains fine-grained results from our HPLT 3.0 release evaluations comparing the new HPLT 3.0 corpora with the previous HPLT 2.0 version, FineWeb2, and MADLAD-400. We pretrain 2.2B Llama-style decoder models on 100B tokens for each selected language and evaluate them using [HPLT-E](https://github.com/hplt-project/hplt-e/tree/main), a novel multilingual evaluation framework for comprehensive multi-prompt *k*-shot evaluation across 124 tasks and 500+ prompts in nine typologically diverse languages: Spanish (`spa_Latn`), French (`fra_Latn`), Czech (`ces_Latn`), Ukrainian (`ukr_Cyrl`), Finnish (`fin_Latn`), Catalan (`cat_Latn`), Galician (`glg_Latn`), Basque (`eus_Latn`), and Norwegian (Bokmål and Nynorsk; `nor_Latn`).
+This dataset contains fine-grained results from our HPLT 3.0 release evaluations comparing the new HPLT 3.0 corpora with the previous HPLT 2.0 version, FineWeb2, and MADLAD-400. We pretrain 2.2B Llama-style decoder models on 100B tokens for each selected language and evaluate them using [HPLT-E](https://github.com/hplt-project/hplt-e/tree/main), a multilingual evaluation framework for comprehensive multi-prompt *k*-shot evaluation across 124 tasks and 500+ prompts in nine typologically diverse languages: Spanish (`spa_Latn`), French (`fra_Latn`), Czech (`ces_Latn`), Ukrainian (`ukr_Cyrl`), Finnish (`fin_Latn`), Catalan (`cat_Latn`), Galician (`glg_Latn`), Basque (`eus_Latn`), and Norwegian (Bokmål and Nynorsk; `nor_Latn`).
 
 
 - **Curated by:** [High Performance Language Technologies (HPLT)](https://hplt-project.org)
@@ -288,7 +288,7 @@ Please find more details in our paper and GitHub repository.
 
 ## Uses
 
-This dataset is intended for reproducibility and research purposes. Find an example how to access the results:
+This dataset is intended for reproducibility and research purposes. Find an example on how to access the results:
 
 ```python
 from datasets import load_dataset