Update README.md

README.md

@@ -14,16 +14,16 @@ tags:
 pretty_name: Youtube Commons Corpus
 ---
 
-# 📺 Youtube-Commons 📺
+# 📺 YouTube-Commons 📺
 
-**Youtube-Commons** is a collection of audio transcripts of 1,689,372 videos shared on Youtube under a CC-By license.
+**YouTube-Commons** is a collection of audio transcripts of 1,689,372 videos shared on YouTube under a CC-By license.
 
 ## Content
 The collection comprises 12,663,123 original and automatically translated transcripts from 1,689,372 videos (348,839 individual channels).
 
 In total, this represents 24,470,331,415 words.
 
-All the videos where shared on Youtube with a CC-BY license: the dataset provide all the necessary provenance information including the title, link, channel name and upload date.
+All the videos where shared on YouTube with a CC-BY license: the dataset provide all the necessary provenance information including the title, link, channel name and upload date.
 
 The corpus is multilingual with a majority of English-speaking content (71%) for original languages. Automated translations are provided for nearly all the videos in English, French, Spanish, German, Russian, Italian and Dutch.
 
@@ -35,16 +35,16 @@ Most of the available resources under free licenses are written texts such as pu
 The text can be used for training model and republished with  for reproducibility purposes.
 
 ## License and ethics
-All the transcripts are part of a video shared under a CC-By license. In accordance with the provision of the license, every Youtube channel is fully credited.
+All the transcripts are part of a video shared under a CC-By license. In accordance with the provision of the license, every YouTube channels is fully credited.
 
 While content under a free license can be lawfully reproduced in any setting, there is currently a debate over the legitimacy and proper ethical use of free content for pre-training large language models.
 
 In accordance with the philosophy of Creative Commons, we recommend that this set be preferably used for open research. Furthermore, the license requires that contribution of each individual author is properly credited. In a research context, the best way to achieve this aim would be to fully release the data sources used for training or, at the very least, provide an extensive open documentation.
 
 ## Future developments
-The collection is far from covering the total amount of available Youtube videos under a Creative Commons license. We will continue to expand it significantly.
+The collection is far from covering the total amount of available YouTube videos under a Creative Commons license. We will continue to expand it significantly.
 
-Other additional release will also focus on transcripts from other video sources not available on Youtube (especially from public service/university websites).
+Other additional release will also focus on transcripts from other video sources not available on YouTube (especially from public service/university websites).
 
 
 ## Acknowledgements