Update README.md

README.md

@@ -9,18 +9,18 @@ size_categories:
 ## Perplexity Analysis
 
 This dataset presents the data used in the paper "SaulLM-7B: Pioneering the first Legal Large Language Model" in "6.3 Perplexity Analysis" section.
-The dataset contains the perplexity scores of SaulLM-7B, Llama2-7B and Mistral-7B across the recent text corpora.
+The dataset contains the perplexity scores of SaulLM-7B, Llama2-7B and Mistral-7B across a corpora of recent text.
 
 ## Cleaning
 
 We proceeded to standardize the data by removing any special characters using unicodedata normalization. 
-We also filtered for text that have proper punctuation and a miiimum length of 20 tokens. Additionally, we ralso filtered the text by using a Naive Bayes classifier that aims to classifiy if a given text is a consice piece of text or not.
+We also filtered for text that have proper punctuation and a minimum length of 20 tokens. Additionally, we also filtered the text by using a Naive Bayes classifier that aims to classifiy if a given text is a consice piece of text or not.
 
 ## Data
 
 The corpora consists of four distinct categories, each serving different purposes:
 
-**Party Submissions**: This category includes documents submitted by parties involved in legal proceedings. These submissions were sourced exclusively from Texas briefs filed after October 2023.
+**Party Submissions**: This category includes documents submitted by parties involved in legal proceedings. These submissions were sourced exclusively from Texas briefs filed after October 1, 2023.
 
 **Legal Decisions**: Documents in this category are legal judgments or rulings. They were obtained from the International Centre for Settlement of Investment Disputes (ICSID), specifically filtering for decisions made after October 2023.