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Datasets:
duvas07
/
githubissues

Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
github-issues
data-science
Libraries:
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pandas
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License:
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metadata 
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc0-1.0
language:
  - en
tags:
  - github-issues
  - data-science

GitHub Issues Dataset

Overview

This dataset contains 5,000 public GitHub issues fetched using the GitHub API. It is built for data cleaning, text classification, and semantic search projects.

Dataset path: duvas07/githubissues

https://huggingface.co/datasets/duvas07/githubissues

Data Collection & Cleaning

  • Sourcing: Fetched from public GitHub repositories using Python's requests package.
  • Cleaning: Removed rows with missing titles (dropna()) and checked for duplicate IDs (duplicated()).
  • Features: Added character length to help with text analysis.

Privacy, Licensing & Risks

  • Privacy: Data contains only public GitHub information. No private keys or passwords were included.
  • Licensing: Shared under the MIT License.
  • Limitations: Technical terms like "bug" or "crash" can be mislabeled as "negative" by standard sentiment models. Long issue text gets cut off by models with token limits.

References

  • API Source: "Data was collected from public GitHub repositories using the official GitHub REST API."
  • Classification Model: distilbert-base-uncased-finetuned-sst-2-english
  • Embedding Model: sentence-transformers/all-MiniLM-L6-v2
  • Search Library: faiss-cpu