Data Preprocessing Techniques for Machine Learning
Last updated July 1, 2024
Introduction: Creating and sharing your own datasets on Hugging Face allows you to contribute to the community and make your data available for collaborative use. This guide outlines the steps to create, upload, and share your datasets.
Steps:
- Preparing Your Dataset
- Format Your Data: Ensure your data is in a structured format such as CSV, JSON, or Parquet. Include clear column names and labels.
- Create Metadata: Prepare a dataset card that includes descriptions, usage instructions, and any relevant citations.
2.Loading and Formatting Data
- Load Your Data import pandas as pd data = pd.read_csv('your_dataset.csv')
Convert to Hugging Face Dataset Format from datasets import Dataset dataset = Dataset.from_pandas(data) 3.Uploading Your Dataset Login to Hugging Face huggingface-cli login Create a New Repository: from huggingface_hub import HfApi api = HfApi() api.create_repo(name="your_dataset_name")
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