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# Evaporate |
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Datasets for paper "Evaporate: Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes". |
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The best way to use this data is by cloning: |
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``` |
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git lfs install |
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git clone https://huggingface.co/datasets/hazyresearch/evaporate |
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``` |
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We can then unzip everything using this code snippet: |
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``` |
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import os |
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data_path = "evaporate/data" |
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# list paths in data_path |
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data_path_files = os.listdir(data_path) |
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for path in data_path_files: |
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sub_path = f"{data_path}/{path}" |
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# tar unzip 'docs.tar.gz' in the sub_paths |
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if os.path.exists(f"{sub_path}/docs.tar.gz"): |
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os.system(f"tar -xvf {sub_path}/docs.tar.gz -C {sub_path}") |
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``` |
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