--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': charts '1': non-charts splits: - name: train num_bytes: 353840132.756 num_examples: 4579 download_size: 455871644 dataset_size: 353840132.756 configs: - config_name: default data_files: - split: train path: data/train-* license: mit task_categories: - image-classification - image-feature-extraction language: - en pretty_name: FinTwit Images tags: - fintwit - twitter - charts - financial - financial charts - finance - stocks - crypto - image --- ## FinTwit Images 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 of images that were part of tweets that did not mention a ticker. 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 4,579 images in total, categorized into: - 1,083 chart images - 3,496 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.