Datasets:
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---
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](https://github.com/StephanAkkerman/fintwit-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](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
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. |