Update README.md

README.md

@@ -121,16 +121,10 @@ size_categories:
 ---
 # Large Weak Labelled NER corpus
 
-## Dataset Description
-
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Size of downloaded dataset files:** 657.1 MB
-- **Size of the generated dataset:** 4 GB
-- **Total amount of disk used:** 4 GB
 
 ### Dataset Summary
 
-The dataset is generated through weak labelling of the scraped news corpus (bloomberg's news). so, only to research purpose.
+The dataset is generated through weak labelling of the scraped and preprocessed news corpus (bloomberg's news). so, only to research purpose.
 In order of the tokenization, news were splitted into sentences using `nltk.PunktSentenceTokenizer` (so, sometimes, tokenization might be not perfect)  
 
 ### Usage
@@ -138,8 +132,8 @@ In order of the tokenization, news were splitted into sentences using `nltk.Punk
 ```python
 from datasets import load_dataset
 
-articles_ds = load_dataset("imvladikon/bloomberg_news_weak_ner", "articles") # just articles with metadata
-entities_ds = load_dataset("imvladikon/bloomberg_news_weak_ner", "entities")
+articles_ds = load_dataset("imvladikon/english_news_weak_ner", "articles") # just articles with metadata
+entities_ds = load_dataset("imvladikon/english_news_weak_ner", "entities")
 ```