nits

README.md

@@ -9621,7 +9621,7 @@ configs:
 > Liberating 3T of the finest tokens from PDFs
 
 ## What is this?
-As we have run out of web pages to process, the natural question has always been: what to do next? Only a few knew about a data source that everyone avoided for ages, due to its incredible extraction cost and complexity; **PDFs**.
+As we run out of web pages to process, the natural question has always been: what to do next? Only a few knew about a data source that everyone avoided for ages, due to its incredible extraction cost and complexity: **PDFs**.
 
 📄 **FinePDFs** is exactly that. It is the largest publicly available corpus sourced exclusively from PDFs, containing about **3 trillion tokens** across **475 million documents** in **1733 languages**.
 
@@ -9631,14 +9631,14 @@ Compared to HTML datasets, despite being only mildly filtered, it achieves resul
 
 The data was sourced from 105 [CommonCrawl](https://commoncrawl.org/) snapshots, spanning the _summer of 2013 to February 2025_, as well as refetched from the internet, and processed using 🏭 [`datatrove`](https://github.com/huggingface/datatrove/), our large scale data processing library. This carefully deduplicated and filtered dataset comprises roughly **20 terabytes** of 3T tokens. For PII and opt-out see [_Personal and Sensitive Information and opt-out_](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2#personal-and-sensitive-information-and-opt-out).
 
-As is the tradition, the dataset is fully reproducible and released under the **ODC-By 1.0 license**.
-You will be able the to access the reproduction code, ablation and evaluation setup in this [GitHub repository](https://github.com/huggingface/finepdfs) soon 👷.
+As is tradition, the dataset is fully reproducible and released under the **ODC-By 1.0 license**.
+You will be able to access the reproduction code, ablation and evaluation setup in this [GitHub repository](https://github.com/huggingface/finepdfs) soon 👷.
 ## Languages and available subsets
 Each language is identified by its [ISO 639-3 code](https://iso639-3.sil.org/code_tables/639/data), and the data is grouped by language-script pairs, since some languages have content in multiple scripts.
 
 In total, we provide data for **1733 language-script pairs**. Of these, **978** have more than 1M tokens, and **66** have more than 1B tokens of data. Most languages also include a small `test` split which should not be trained on.
 
-Additionally, for certain documents we have not been able to identify its language, we mark such documents as "unknown".
+Additionally, certain documents for which we have not been able to identify the language have been marked as "unknown".
 
 The following table shows the size of the filtering subset for the biggest 50 languages.
 
@@ -9993,7 +9993,7 @@ Finally, PDFs are just one of many document types available on the web. Looking
 ```
 @misc{kydlicek2025finepdfs,
       title={FinePDFs}, 
-      author={Hynek Kydl{\'\i}{\v{c}}ek, Guilherme Penedo and Leandro von Werra},
+      author={Hynek Kydl{\'\i}{\v{c}}ek and Guilherme Penedo and Leandro von Werra},
       year={2025},
       publisher = {Hugging Face},
       journal = {Hugging Face repository},