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.
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1ult._mgr, "blocks"):2 assert isinstance(result._mgr.blocks[0], EABackedBlock)3 assert result._mgr.array is data4 5 # Series[EA] is unboxed / boxed correctly6 result2 = pd.Series(result)7 assert result2.dtype == data.dtype8 if hasattr(result._mgr, "blocks"):9 assert isinstance(result2._mgr.blocks[0], EABackedBlock)