Update README.md

README.md

@@ -1,10 +1,8 @@
 # Temporal Logic Video (TLV) Dataset
-## Overview
 <!-- PROJECT LOGO -->
 <br />
 <div align="center">
   <h3 align="center">Temporal Logic Video (TLV) Dataset</h3>
-
   <p align="center">
     Synthetic and real video dataset with temporal logic annotation
     <br />
@@ -27,7 +25,7 @@ The Temporal Logic Video (TLV) Dataset addresses the scarcity of state-of-the-ar
 ## Table of Contents
 
 - [Dataset Composition](#dataset-composition)
-- [Dataset (Release)](#dataset)
+- [Dataset](#dataset)
 - [Installation](#installation)
 - [Usage](#usage)
 - [Data Generation](#data-generation)
@@ -48,7 +46,7 @@ The Temporal Logic Video (TLV) Dataset addresses the scarcity of state-of-the-ar
 - Annotation: Temporal Logic specifications added to existing data
 
 ## Dataset 
-Though we provide a source code to generate datasets from different types of data sources, we release a dataset v1 as a proof of concept. 
+Though we provide a source code to generate datasets from different data sources, we release a dataset v1 as a proof of concept. 
 
 ### Dataset Structure
 
@@ -61,13 +59,13 @@ We provide a v1 dataset as a proof of concept. The data is offered as serialized
 Each serialized object contains the following attributes:
 - `ground_truth`: Boolean indicating whether the dataset contains ground truth labels
 - `ltl_formula`: Temporal logic formula applied to the dataset
-- `proposition`: A set of proposition for ltl_formula
+- `proposition`: A set of propositions for ltl_formula
 - `number_of_frame`: Total number of frames in the dataset
 - `frames_of_interest`: Frames of interest which satisfy the ltl_formula
 - `labels_of_frames`: Labels for each frame
 - `images_of_frames`: Image data for each frame
 
-You can download a dataset from here. The structure of dataset is as follows: serializer
+You can download a dataset from here. The structure of the dataset is as follows: serializer.
    ```
    tlv-dataset-v1/
    ├── tlv_real_dataset/