Update README.md

README.md

@@ -4,7 +4,7 @@ language:
 license: mit
 task_categories:
 - image-classification
-pretty_name: FinTwit Charts
+pretty_name: Crypto Charts
 dataset_info:
   features:
   - name: image
@@ -38,12 +38,31 @@ tags:
 - image
 ---
 
-## FinTwit Charts
+## Crypto Charts
 
 This dataset is a collection of a sample of images from tweets that I scraped using my [Discord bot](https://github.com/StephanAkkerman/fintwit-bot) that keeps track of financial influencers on Twitter.
-The data consists mainly of images that are financial charts about either cryptocurrency or stocks.
+The data consists mainly of images that are cryptocurrency charts.
 This dataset can be used for a wide variety of tasks, such as image classification or feature extraction.
 
+### FinTwit Charts Collection
+This dataset is part of a larger collection of datasets, scraped from Twitter and labeled by a human (me). Below is the list of related datasets.
+- [Crypto Charts](huggingface.co/datasets/StephanAkkerman/crypto-charts): Images of financial charts of cryptocurrencies
+- [Stock Charts](https://huggingface.co/datasets/StephanAkkerman/stock-charts): Images of financial charts of stocks
+- [FinTwit Images](https://huggingface.co/datasets/StephanAkkerman/fintwit-images): Images that had no clear description, this contains a lot of non-chart images
+
+## Dataset Structure
+Each images in the dataset is structured as follows:
+
+Image: The image of the tweet, this can be of varying dimensions.
+Label: A numerical label indicating the category of the image, with '1' for charts, and '0' for non-charts.
+
+## Dataset Size
+The dataset comprises 4,880 images in total, categorized into:
+
+4,051 chart images
+829 non-chart images
+
+## Usage
 I used this dataset for training my [chart-recognizer model](https://huggingface.co/StephanAkkerman/chart-recognizer) for classifying if an image is a chart or not.
 
 ## Acknowledgments