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HuggingFace dataset
 Contents 
Example
HuggingFace dataset#
The Hugging Face Hub is home to over 5,000 datasets in more than 100 languages that can be used for a broad range of tasks across NLP, Computer Vision, and Audio. They used for a diverse range of tasks such as translation,
automatic speech recognition, and image classification.
This notebook shows how to load Hugging Face Hub datasets to LangChain.
from langchain.document_loaders import HuggingFaceDatasetLoader
dataset_name="imdb"
page_content_column="text"
loader=HuggingFaceDatasetLoader(dataset_name,page_content_column)
data = loader.load()
data[:15]
rtdocs_stable/api.python.langchain.com/en/stable/modules/indexes/document_loaders/examples/hugging_face_dataset.html