Hugging Face FS Loader
pip install llama-index-readers-huggingface-fs
This loader uses Hugging Face Hub's Filesystem API (> 0.14) to load datasets.
Besides the existing load_data function, you may also choose to use
load_dicts and load_df.
Usage
To use this loader, you need to pass in a path to a Hugging Face dataset.
from pathlib import Path
from llama_index.readers.huggingface_fs import HuggingFaceFSReader
# load documents
loader = HuggingFaceFSReader()
documents = loader.load_data("datasets/dair-ai/emotion/data/data.jsonl.gz")
# load dicts
dicts = loader.load_dicts("datasets/dair-ai/emotion/data/data.jsonl.gz")
# load df
df = loader.load_df("datasets/dair-ai/emotion/data/data.jsonl.gz")
This loader is designed to be used as a way to load data into LlamaIndex.
1 maintainer
Metadata
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Release files for llama-index-readers-huggingface-fs 0.6.0
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