--- dataset_info: features: - name: instance_id dtype: string - name: repo dtype: string - name: base_commit dtype: string - name: patch dtype: string - name: language dtype: string - name: non_code_patch dtype: string - name: test_patch dtype: string - name: created_at dtype: string - name: problem_statement dtype: string - name: hints_text dtype: string - name: version dtype: string - name: environment_setup_commit dtype: string - name: FAIL_TO_PASS dtype: string - name: PASS_TO_PASS dtype: string - name: FAIL_TO_FAIL dtype: string - name: license struct: - name: key dtype: string - name: name dtype: string - name: spdx_id dtype: string - name: url dtype: string splits: - name: train num_bytes: 90174137 num_examples: 1000 download_size: 30015778 dataset_size: 90174137 configs: - config_name: default data_files: - split: train path: data/train-* --- # **Codeset-Gym-Python** A gym for training code agents resolve real-world software issues. This version contains issues from Python repositories. --- ## Dataset Structure | Column | Type | Description | |-----|------|-------------| | `instance_id` | `str` | Formatted as `owner__repo-issueNumber` (e.g. `psf__requests-6091`) | | `repo` | `str` | `owner/repo` | | `patch` | `str` | Source-code diff that resolves the issue *(tests omitted)* | | `test_patch` | `str` | Diff of test files added/changed by the issue resolving commit | | `base_commit` | `str` | Commit hash *before* the issue resolution | | `environment_setup_commit` | `str` | Commit hash of the resolved version, from which the environment was built | | `created_at` | `str` | ISO timestamp of the issue resolving commit | | `problem_statement` | `str` | Issue title + body | | `hints_text` | `str` | Concatenated Issue comments prior to the patch | | `version` | `str` | Environment version tags | | `FAIL_TO_PASS` | `List[str]` | A json list of strings that represent the set of tests resolved by the PR and tied to the issue resolution. | | `PASS_TO_PASS` | `List[str]` | A json list of strings that represent tests that should pass before and after the PR application. | --- ## Usage ```python from datasets import load_dataset ds = load_dataset("codeset/codeset-gym-python", split="train") sample = ds[0] print(sample["problem_statement"]) print(sample["patch"]) ``` The dataset ships as a single `train` split. --- Built by [Codeset](https://codeset.ai/)