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Update README.md
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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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license: mit
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task_categories:
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- image-classification
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- image-feature-extraction
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language:
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- en
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pretty_name: FinTwit Images
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tags:
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- fintwit
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- twitter
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- charts
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- financial
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- financial charts
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- finance
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- stocks
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- crypto
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- image
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---
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## FinTwit Images
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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.
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The data consists of images that were part of tweets that did not mention a ticker.
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This dataset can be used for a wide variety of tasks, such as image classification or feature extraction.
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### FinTwit Charts Collection
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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.
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- [Crypto Charts](huggingface.co/datasets/StephanAkkerman/crypto-charts): Images of financial charts of cryptocurrencies
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- [Stock Charts](https://huggingface.co/datasets/StephanAkkerman/stock-charts): Images of financial charts of stocks
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- [FinTwit Images](https://huggingface.co/datasets/StephanAkkerman/fintwit-images): Images that had no clear description, this contains a lot of non-chart images
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## Dataset Structure
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Each images in the dataset is structured as follows:
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- **Image**: The image of the tweet, this can be of varying dimensions.
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- **Label**: A numerical label indicating the category of the image, with '1' for charts, and '0' for non-charts.
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## Dataset Size
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The dataset comprises 4,579 images in total, categorized into:
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- 1,083 chart images
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- 3,496 non-chart images
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## Usage
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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.
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## Acknowledgments
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We extend our heartfelt gratitude to all the authors of the original tweets.
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## License
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This dataset is made available under the MIT license, adhering to the licensing terms of the original datasets.
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