sujinwo/candlestick-chaos

--- pretty_name: Candlestick Chaos Dataset license: mit task_categories: - other - image-classification language: - en - id tags: - financial - candlestick - time-series - raw-data size_categories: - 10K<n<100K --- # Candlestick Chaos Dataset This dataset contains `ultra_chaos.zip`, likely related to candlestick data for financial analysis or machine learning experiments. ## Dataset Description - **Purpose**: This dataset is intended for [e.g., training machine learning models, research on financial market patterns, etc.]. - **Content**: The `ultra_chaos.zip` file is expected to contain raw or preprocessed data related to candlestick patterns. Users should unzip it to explore its contents. - **Data Format**: [Specify the expected data format inside the zip, e.g., CSV, JSON, Parquet, if known. Otherwise, state 'Unknown, requires extraction.'] ## Usage To use this dataset, you would typically download the `ultra_chaos.zip` file and extract its contents. Here's a basic example of how you might download and load it in Python (assuming it contains CSVs after extraction): ```python from huggingface_hub import hf_hub_download import zipfile import pandas as pd # Download the dataset file file_path = hf_hub_download(repo_id='sujinwo/candlestick-chaos', filename='ultra_chaos.zip', repo_type='dataset') print(f"Downloaded: {file_path}") # Unzip the file with zipfile.ZipFile(file_path, 'r') as zip_ref: zip_ref.extractall('./data') print("Dataset unzipped to ./data/") # Example: If the zip contains a CSV named 'data.csv' # df = pd.read_csv('./data/data.csv') # print(df.head()) ``` ## Disclaimer This dataset is provided as-is. Users are responsible for understanding and complying with any licensing or usage terms associated with the original data sources.