Update README.md

README.md

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 ## Multimodal Pretraining
 
-### Youtube-Commons
-
-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. 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.
-
 ### Global academic thesis
 
 We hold the largest collection of academic thesis with more than three million documents in PDF at a global scale. 
@@ -36,6 +28,14 @@ Our coverage extends significantly beyond western sources, with half of our hold
 
 The current sample include 1052 thesis in pdf formats in many languages.
 
+### Youtube-Commons
+
+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. 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.
+
 ### Non-US Patents
 
 We are currently collecting the largest available asset of non-US patents. It currently includes the complete collection of European patents (EPO) in the original pdf format and we're currently scaling our data collection to Asia.
@@ -46,10 +46,12 @@ The current sample includes 5,000 unique samples in large .tar files along with
 
 ### Telecom
 
-In partnership with GSMA we collected Telco-Common Corpus, currently the largest dataset of telecom data, which has been incorporated into the pretraining of Otel 2.0 by AT&T.
+In partnership with GSMA we collected Telco-Common Corpus, currently the largest dataset of telecom data.
 
 Our internal asset includes the extent PDF and doc sources for multimodal training, as well as additional data collections for standard bodies like 3gpp or IEEE.
 
+The telecom corpus has been has been incorporated into the pretraining of Otel 2.0 by AT&T.
+
 ## Synthetic data seeds/environment
 
 ### Wikidata