Datasets:
language:
- en
license: mit
task_categories:
- image-classification
pretty_name: Crypto Charts
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': charts
'1': non-charts
- name: id
dtype: string
splits:
- name: train
num_bytes: 541635585.028
num_examples: 4354
download_size: 805509966
dataset_size: 541635585.028
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- fintwit
- twitter
- charts
- financial
- financial charts
- finance
- stocks
- crypto
- image
Crypto Charts
This dataset is a collection of a sample of images from tweets that I scraped using my Discord bot that keeps track of financial influencers on Twitter. 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: Images of financial charts of cryptocurrencies
- Stock Charts: Images of financial charts of stocks
- 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 for classifying if an image is a chart or not.
Acknowledgments
We extend our heartfelt gratitude to all the authors of the original tweets.
License
This dataset is made available under the MIT license, adhering to the licensing terms of the original datasets.