diff --git a/README.md b/README.md
index a4278ea..4c542fd 100644
--- a/README.md
+++ b/README.md
@@ -74,6 +74,7 @@ Not for Falcon 40b, it won't!
 <a name="dataset-summary"></a>
 
 Dataset Summary
+
 The Open Orca dataset is a collection of unaugmented and augmented FLAN data.
 Currently ~1M GPT-4 completions, and ~3.5M GPT-3.5 completions.
 It is tabularized in alignment with the distributions presented in the ORCA paper and currently represents a partial completion of the full intended dataset, with ongoing generation to expand its scope.
@@ -82,6 +83,7 @@ The data is primarily used for training and evaluation in the field of natural l
 <a name="supported-tasks-and-leaderboards"></a>
 
 Supported Tasks and Leaderboards
+
 This dataset supports a range of tasks including language modeling, text generation, and text augmentation.
 It has been instrumental in the generation of multiple high-performing model checkpoints which have exhibited exceptional performance in our unit testing.
 Further information on leaderboards will be updated as they become available.
@@ -89,6 +91,7 @@ Further information on leaderboards will be updated as they become available.
 <a name="languages"></a>
 
 Languages
+
 The language of the data primarily is English.
 
 <a name="dataset-structure"></a>
@@ -98,17 +101,20 @@ Dataset Structure
 <a name="data-instances"></a>
 
 Data Instances
+
 A data instance in this dataset represents an augmented and unaugmented set of text data, containing fields for the original and modified text content.
 
 <a name="data-fields"></a>
 
 Data Fields
+
 The primary fields of interest are 'Original Text' and 'Augmented Text'.
 Other metadata fields, as well as specifics of the augmentation process used for each instance, are also included.
 
 <a name="data-splits"></a>
 
 Data Splits
+
 Details regarding data splits (train/test/validate) will be updated as the data generation progresses.
 
 <a name="dataset-creation"></a>
@@ -118,12 +124,14 @@ Dataset Creation
 <a name="curation-rationale"></a>
 
 Curation Rationale
+
 The dataset was created to provide a source of augmented text data for researchers and developers.
 It is particularly valuable in advancing the capabilities of language models, and fostering the generation of high-performing model checkpoints.
 
 <a name="source-data"></a>
 
 Source Data
+
 The data is generated using techniques in alignment with the distributions outlined in the ORCA paper.
 The original unaugmented data comes from the FLAN dataset.
 
@@ -134,16 +142,19 @@ Dataset Use
 <a name="use-cases"></a>
 
 Use Cases
+
 The dataset can be used for tasks related to language understanding, natural language processing, machine learning model training, and model performance evaluation.
 
 <a name="usage-caveats"></a>
 
 Usage Caveats
+
 Given that this is a work-in-progress dataset, it's recommended to regularly check for updates and improvements.
 Further, the data should be used in accordance with the guidelines and recommendations outlined in the ORCA paper.
 
 <a name="getting-started"></a>
 
 Getting Started
+
 For information on getting started, please refer to the Hugging Face dataset loading utilities.
 Regular updates and data generation progress can be monitored through the Open Orca repository on Hugging Face.
\ No newline at end of file