--- pretty_name: CoReDD Corpus license: other license_name: mixed-upstream-and-cc-by-4.0 license_link: https://huggingface.co/datasets/witrin/coredd-corpus/blob/main/LICENSES.md language: - en size_categories: - 100K/.tar.gz issues/ //.jsonl events.parquet commits.parquet README.md licenses/ // LICENSES.md ``` - `repositories/` contains six complete bare Git repositories packaged as compressed archives. - `issues/` contains 5,689 PR and issue event streams with 155,830 timestamped events. The JSON payloads are raw GitHub REST API fragments. See `issues/README.md` for the event schema and temporal-use contract. - `events.parquet` and `commits.parquet` provide tabular indexes over the archived material. ## Included repositories - `OpenJobDescription/openjd-model-for-python` - `mistralai/mistral-common` - `cohere-ai/cohere-compass-sdk` - `microsoft/Olive` - `kedro-org/kedro-plugins` - `awslabs/graphstorm` ## Related resource [CoReDD Bench](https://huggingface.co/datasets/witrin/coredd-bench) contains the benchmark labels, audit-derived uncertainty model, and evaluation software. CoReDD Bench uses this corpus as its frozen repository and review context. ## Provenance and licensing All repository and GitHub event material originated from the public upstream projects listed above. Source identity is retained through repository names, Git commit IDs, issue numbers, timestamps, and API payloads. This is a mixed-rights collection. The repository archives remain subject to their upstream licenses. GitHub issue, PR, comment, and review contents are third-party material and are not relicensed under a blanket dataset license. The CC BY 4.0 license applies only to original CoReDD documentation and corpus-specific material explicitly identified as such. See [LICENSES.md](LICENSES.md). ## Removal requests Requests concerning rights, privacy, or removal can be raised in the [Community tab](https://huggingface.co/datasets/witrin/coredd-corpus/discussions) of this dataset. Discussions there are public. For a non-public or formal route, Hugging Face operates its own reporting and DMCA process under its [Content Policy](https://huggingface.co/content-guidelines), which applies to this dataset as it does to any repository on the Hub. Material removed on request is dropped in a new release. Earlier releases are not rewritten, so a benchmark run remains reproducible against the release it was run on.