Update README.md

README.md

@@ -5,7 +5,7 @@ license: apache-2.0
 
 ## 📋 Dataset Description
 
-This dataset contains a 1 trillion token sample from Essential-Web, partitioned by Free Decimal Correspondence (FDC) level-2 categories. Essential-Web is a 24-trillion-token web dataset with extensive document-level metadata designed to enable rapid dataset curation through SQL-like filtering.
+This dataset contains a 1 trillion token sample from [**Essential-Web**](https://huggingface.co/datasets/EssentialAI/essential-web), partitioned by Free Decimal Correspondence (FDC) level-2 categories. [**Essential-Web**](https://huggingface.co/datasets/EssentialAI/essential-web) is a 24-trillion-token web dataset with extensive document-level metadata designed to enable rapid dataset curation through SQL-like filtering.
 
 ## 🔍 Free Decimal Correspondence (FDC)
 
@@ -19,11 +19,11 @@ The source documents were classified using EAI-Taxonomy-0.5b, a classifier train
 
 ## 🎯 Performance
 
-Datasets curated from Essential-Web using simple metadata filters have demonstrated competitive performance:
-- 🧮 Math domain: within 15.3% of state-of-the-art
-- 💻 Web code: 14.3% above state-of-the-art  
-- 🔬 STEM: 24.5% above state-of-the-art
-- 🩺 Medical: 8.6% above state-of-the-art
+Datasets curated from [**Essential-Web**](https://huggingface.co/datasets/EssentialAI/essential-web) using simple metadata filters have demonstrated competitive performance relative to top performing web-curated datasets:
+- 🧮 **Math**: within 15.3% of web-curated baselines
+- 💻 **Web Code**: 14.3% above web-curated baselines  
+- 🔬 **STEM**: 24.5% above web-curated baselines
+- 🩺 **Medical**: 8.6% above web-curated baselines
 
 ## 🏗️ Dataset Structure
 
@@ -36,8 +36,7 @@ data/fdc_level=10/
 ...
 ```
 
-Each partition contains documents labeled with their corresponding FDC classification along with associated metadata.
-
+Each partition contains documents labeled with their corresponding FDC classification along with associated taxonomy metadata.
 
 # Dataset Schema Documentation