Update README

README.md

@@ -44,9 +44,9 @@ Instead of relying on broken regex headers, the parser scores chunks based on "F
 
 - Years: 2022, 2023, 2024
 - Sections:
-  - Item 1A: Risk Factors (Predictive signals)
-  - Item 7: Management's Discussion & Analysis (Causal signals)
-  - Item 7A: Quantitative Market Risk (Exposure signals)
+  Item 1A: Risk Factors (Predictive signals)
+  Item 7: Management's Discussion & Analysis (Causal signals)
+  Item 7A: Quantitative Market Risk (Exposure signals)
 
 ## Usage
 
@@ -54,7 +54,7 @@ This dataset is ideal for:
 
 Pre-training financial Language Models (Continued Pre-training). \
 Testing RAG (Retrieval Augmented Generation) chunking strategies. \
-Financial NLP research (Sentiment Analysis on Risk Factors). \
+Financial NLP research (Sentiment Analysis on Risk Factors).
 
 ```python
 from datasets import load_dataset