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23ws-LLMcoder/LLMcoder-GitHub-Python-Mix-Direct

Dataset Card for LLMcoder-GitHub-Python-Mix-Direct Python target autocomplete suggestions in the format of conversations for OpenAI's fine-tuning. Dataset Details Dataset Description Curated by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Language(s) (NLP): [More Information Needed] License: [More Information Needed] Dataset Sources [optional] The data… See the full description on the dataset page: https://huggingface.co/datasets/23ws-LLMcoder/LLMcoder-GitHub-Python-Mix-Direct.

sourceHugging Faceupdated 3y agoView on Hugging Face

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rootpairspair_64output.txt

output.txt16 linesDownload Raw Back to pair_64

1a/ultrafine_acl18.tar.gz', 'wb') as out_file:2        shutil.copyfileobj(r, out_file)3 4    # Extract the data5    print('Extracting the data...')6    shutil.unpack_archive('data/ultrafine_acl18.tar.gz', 'data')7 8    # Remove the tar.gz file9    os.remove('data/ultrafine_acl18.tar.gz')10 11    # Move the files form the 'data/release/ontonotes/' directory to the 'data' directory12    for filename in os.listdir('data/release/ontonotes/'):13        shutil.move(f'data/release/ontonotes/{filename}', f'data/{filename}')14 15    # Remove the 'data/release/' directory16    shutil.rmtree('data/release')