Update README.md

README.md

@@ -61,12 +61,12 @@ M.-R. Amini, N. Usunier, C. Goutte. Learning from Multiple Partially Observed Vi
 
 ## V. Acknowledgements
 
-   We thank Reuters for making the RCV1/RCV2 data available and granting permission to distribute processed versions of it.
+We thank Reuters for making the RCV1/RCV2 data available and granting permission to distribute processed versions of it.
 
 
 ## VI. Dataset statistics 
 
-    We focused on six relatively populous categories: C15, CCAT, E21, ECAT, GCAT, M11. For each language and each class, we sampled up to 5000 documents from the RCV1 (for English) or RCV2 (for other languages). Documents belonging to more than one of our 6 classes were assigned the label of their smallest class.  This resulted in 12-30K documents per language, and 11-34K documents per class. The distribution of documents over languages and classes are:
+We focused on six relatively populous categories: C15, CCAT, E21, ECAT, GCAT, M11. For each language and each class, we sampled up to 5000 documents from the RCV1 (for English) or RCV2 (for other languages). Documents belonging to more than one of our 6 classes were assigned the label of their smallest class.  This resulted in 12-30K documents per language, and 11-34K documents per class. The distribution of documents over languages and classes are:
 
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               Number of                   Vocabulary