Datasets:
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README.md
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Data was collected using the GitHub REST API and Python requests. The JSON responses were converted into a structured dataset using the Hugging Face Datasets library. Additional derived features were generated, including issue status indicators, text length measurements, and label counts. The resulting dataset was converted into tabular format and uploaded to the Hugging Face Hub.
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## Compliance and Considerations
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### Privacy
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Dataset contains information obtained from publicly availble GitHub issues. Usernames, issue content, timestamps, and other metadata may be included because they are publicly accessible through the GitHub API. No additional personal information was collected beyond the publicly available source data.
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### Storage
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The dataset should be securely stored. Extra care should be taken to ensure the information isn't transformed or engineered in a manner that creates privacy concerns or unintended profiling of individuals.
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The dataset is sourced from a single open-source software repository and may not represent software projects from different domains, organisations, or programming communities. Issue content may reflect the priorities, terminology, and workflows of the Hugging Face development community. The dataset may contain incomplete, outdated, or subjective information submitted by contributors.
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### Recommendations
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Data was collected using the GitHub REST API and Python requests. The JSON responses were converted into a structured dataset using the Hugging Face Datasets library. Additional derived features were generated, including issue status indicators, text length measurements, and label counts. The resulting dataset was converted into tabular format and uploaded to the Hugging Face Hub.
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## Compliance and Considerations
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The dataset is sourced from publicly available GitHub issue data collected through GitHub REST API. Issue content may reflect the priorities, terminology, and workflows of the Hugging Face development community.
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The dataset may contain incomplete, outdated, or subjective information submitted by contributors. No private repositories, confidential information, authentication credentials, or restricted content were collected.
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### Privacy
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Dataset contains information obtained from publicly availble GitHub issues. Usernames, issue content, timestamps, and other metadata may be included because they are publicly accessible through the GitHub API. No additional personal information was collected beyond the publicly available source data.
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### Storage
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The dataset should be securely stored. Extra care should be taken to ensure the information isn't transformed or engineered in a manner that creates privacy concerns or unintended profiling of individuals.
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## Risks
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The risk of personal information and identifying information contained within the issue data is significant. It is a matter of potential privacy breaching and can be mitigated
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by sourcing data only from publicly available repositories. Outdated issue data is another very likely risk, refreshing the data can mitigate this.
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### Recommendations
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