Update README.md

README.md

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 Youtube-Commons is the current referenced dataset for Youtube videos under creative commons allowing for full commercial reuse. The dataset was noticeably used to train Nvidia's SOTA text to speech model <a href="https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2">Parakeet</a>.
 
-While the public version of Youtube-Commons only includes metadata and transcripts and has not been updated since 2024, our internal asset includes audio attached to transcripts and metadata for 4.1 Million videos.
+While the public version of Youtube-Commons only includes metadata and transcripts and has not been updated since 2024, our internal asset includes audio attached to transcripts and metadata for 4.1 Million videos. About 40% of the corpus is Non-English, with more than 100,000 samples in Spanish, Hindi, French, Russian, Portuguese or Korean.
 
 We provide an initial samples of 5,000 audio samples with associated metadata in parquet.
 
@@ -32,7 +32,7 @@ We provide an initial samples of 5,000 audio samples with associated metadata in
 
 We hold the largest collection of academic thesis with more than three million documents in PDF at a global scale. 
 
-Our coverage extends significantly beyond western sources, with half of our holding are not even indexed in scientific databases like OpenAlex. Typically, it includes XXX,XXX thesis from India with a significant language variety: Hindi, . The collection is uniquely fitting for long horizon multimodal tasks.
+Our coverage extends significantly beyond western sources, with half of our holding are not even indexed in scientific databases like OpenAlex. Typically, this includes 620,000 thesis from India with a significant language variety: Hindi, . The collection is uniquely fitting for long horizon multimodal tasks.
 
 The current sample include 1052 thesis in pdf formats in many languages.