Update README.md

README.md

@@ -217,7 +217,7 @@ Such a formatting follows the multimodal dataset from the Industry Document Libr
 #### Train
 * `pdfa-eng-train-*.tar`
 * Downloaded on 2024/01/22
-* 1800 shards, 2,159,433 samples, 18,686,346 pages, 5,997,818,991 words
+* 1800 shards, 2,159,432 samples, ~18M pages, ~9.7 billion tokens (~5 billion words)
 
 ## Additional Information
 
@@ -227,7 +227,7 @@ Pablo Montalvo, Ross Wightman
 
 ### Disclaimer and note to researchers
 
-This dataset, as a corpus, does not represent the intent and purpose from  CC-MAIN-2021-31-PDF-UNTRUNCATED. The original is made to represent extant pdf data in its diversity and complexity. In particular, common issues related to misuse of pdfs such as mojibake (garbled text due to decoding erros) are yet to be addressed systematically, and this dataset present simplifications that can hide such issues found in the wild. In order to address this biases, we recommend to examine carefully both the simplified annotation and the original `pdf` data, beyond a simple rendering. 
+This dataset is intended as an OCR-heavy pretraining basis for vision-language models. As a corpus, does not represent the intent and purpose from  CC-MAIN-2021-31-PDF-UNTRUNCATED. The original is made to represent extant pdf data in its diversity and complexity. In particular, common issues related to misuse of pdfs such as mojibake (garbled text due to decoding erros) are yet to be addressed systematically, and this dataset present simplifications that can hide such issues found in the wild. In order to address this biases, we recommend to examine carefully both the simplified annotation and the original `pdf` data, beyond a simple rendering. 
 
 Further, the annotation is limited to what can be extracted and is readily available - text drawn in images and only present as a bitmap rendition might be missed entirely by said annotation.