changed order

README.md

@@ -15,29 +15,13 @@ paperswithcode_id: ecoset
 
 ---
 
-# Important Download information:
-
-1. In order to work with ecoset, please make sure to install the s3 compatible version of huggingface datasets, which should include the `s3fs`, `botocore` and `boto3` modules:
-
-```bash
-pip install datasets[s3]
-```
-
-2. Please set `ignore_verifications=True`. when downloading this dataset, else the download will result in an error:
-
-```python
-from datasets import load_dataset
-
-dataset = load_dataset("DiGyt/ecoset", ignore_verifications=True)
-```
-
-
-
-
 ## Table of Contents
 - [Dataset Description](#dataset-description)
   - [Dataset Summary](#dataset-summary)
   - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+- [Installation](#installation)
+  - [Install requirements](#install-requirements)
+  - [Download settings](#download-settings)
 - [Dataset Structure](#dataset-structure)
   - [Data Instances](#data-instances)
   - [Data Fields](#data-fields)
@@ -75,6 +59,28 @@ is not).
 
 Ecoset is a large multi-class single-label object recognition image dataset (similar to ImageNet).
 
+## Installation
+
+Follow these instructions to make sure Ecoset downloads correctly.
+
+### Install Requirements
+
+In order to work with ecoset, please make sure to install the s3 compatible version of huggingface datasets, which should include the `s3fs`, `botocore` and `boto3` modules:
+
+```bash
+pip install datasets[s3]
+```
+
+### Download Settings
+
+Please set `ignore_verifications=True`. when downloading this dataset, else the download will result in an error:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("DiGyt/ecoset", ignore_verifications=True)
+```
+
 
 ## Dataset Structure