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## Dataset Summary
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This dataset was created following the last two sections of Chapter 5 from the Hugging Face NLP course. The course outlined steps to create a dataset for building a semantic search system using GitHub issues from the Hugging Face `datasets` repository. However, during the creation process, several challenges were encountered, including handling null values and timestamp-related errors. This dataset was refined by focusing on fields relevant to semantic search, such as `html_url`, `title`, `body`, `comments`, and `issue number`.
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### Purpose
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## Dataset Summary
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The differentiator is that this dataset is filtered and have selected fields that is it is a direct dataset which can be used to create sementic serach engine to resolve user quries on hf datasets repo, it doesn't have those issues which are PRs and also relevant fields only required to create engine. This dataset was created following the last two sections of Chapter 5 from the Hugging Face NLP course. The course outlined steps to create a dataset for building a semantic search system using GitHub issues from the Hugging Face `datasets` repository. However, during the creation process, several challenges were encountered, including handling null values and timestamp-related errors. This dataset was refined by focusing on fields relevant to semantic search, such as `html_url`, `title`, `body`, `comments`, and `issue number`.
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### Purpose
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