| | --- |
| | license: apache-2.0 |
| | task_categories: |
| | - tabular-classification |
| | - tabular-regression |
| | tags: |
| | - Merval |
| | - equity |
| | pretty_name: Merval daily variations, for deep learning and machine learning tests |
| | --- |
| | |
| | # Downloading the Options IV SP500 Dataset |
| |
|
| | This document will guide you through the steps to download the Merval equity dataset from Hugging Face Datasets. |
| |
|
| | To start, you'll need to install Hugging Face's `datasets` library if you haven't done so already. |
| | You can do this using the following pip command: |
| |
|
| | ```python |
| | !pip install datasets |
| | ``` |
| |
|
| | Here's the Python code to load the Merval equity dataset from Hugging Face Datasets and convert it into a pandas DataFrame: |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | import pandas as pd |
| | |
| | id = "gauss314/arg-equity" |
| | data = load_dataset(id) |
| | df = pd.DataFrame(data['train'][:]) |
| | ``` |
| |
|
