--- pretty_name: 'SWE-bench Style Coding Agent Dataset: GitHub Issues, Patches & Tests (Decontaminated)' license: cc-by-nc-4.0 language: - en multilinguality: - monolingual size_categories: - 10K issue -> patch -> diff hunks -> tests -> agent task -> eval task`) with identity/contamination groups and a leakage-audited split. The full package is sold separately (see below). * **License:** CC BY-NC 4.0 for the MatrixNorm normalization/packaging layer (see [Licensing](#licensing)). * **Format:** gzipped **CSV** in `csv/` (all columns as text; list fields pipe-delimited) plus a **Parquet mirror** in `parquet/` with identical rows, used by `load_dataset` and the viewer. ```python from datasets import load_dataset tasks = load_dataset("williamTLmiller/matrixnorm-swegraph-v2-sample", "agent_tasks", split="train") ``` ## How the sample was drawn * **Unit = repository family** (a SWE-smith mirror belongs to its upstream's family). Keep a family iff the first byte of SHA-1(`"sample:" + family name`) is `< 26` (of 256). Families are kept whole, so contamination groups and partitions are never cut. * **Same rule on every table**: tables with a `repo_id` keep the sampled families; group, quality, validity, proof, environment and membership rows are kept when they refer to a kept task or record. `split_manifests` is included in full. * The `split` column is the full package's partition, unchanged. Because whole families are sampled, a sample may contain no validation or test family. * Built 2026-10-23T22:50:54Z. ### Rows per table | Table | Full package | This sample | |---|---:|---:| | `agent_tasks` | 83,357 | 6,265 | | `contamination_groups` | 250 | 23 | | `diff_hunks` | 136,336 | 11,892 | | `environments` | 642 | 128 | | `eval_tasks` | 5,213 | 353 | | `execution_proofs` | 5,213 | 353 | | `heldout_eval` | 16,822 | 1,663 | | `identity_groups` | 21,073 | 1,260 | | `issues` | 82,217 | 6,265 | | `pull_requests` | 82,217 | 6,265 | | `quality` | 254,489 | 19,173 | | `repos` | 345 | 25 | | `split_manifests` | 28 | 28 | | `split_memberships` | 88,570 | 6,618 | | `symbols` | 1,140 | 0 | | `task_validity` | 5,213 | 353 | | `test` | 764 | 0 | | `tests` | 235,416 | 16,393 | | `train` | 70,602 | 4,955 | | `validation` | 382 | 0 | ## The full dataset The licensed package holds every table above in full, plus per-entity JSONL streams with the complete nested fields (including each task's full PASS_TO_PASS regression list), provenance, rights and leak-audit files. Perpetual, non-exclusive license for internal research, training and benchmarking; models you train are yours to commercialize; no redistribution of the dataset itself. **Contact:** energea@energeatech.com ## Sources | Source | Rows used | License of the source release | |---|---|---| | SWE-bench (test, dev, train) | 2,294 + 225 + 19,008 | MIT | | SWE-bench Verified / Lite / Multimodal | 500 / 323 / 612 (subsets and extensions of SWE-bench) | MIT | | SWE-bench Multilingual | 300 | MIT | | SWE-bench Pro V2 (`default`; `hard` recorded as membership) | 642 | MIT tooling; task content under upstream repo licenses | | SWE-smith | 59,136 | MIT | | BigCodeBench v0.1.4 | 1,140 | Apache-2.0 | Task content (issue text, patches, tests) comes from public open-source repositories and remains under each repository's own license; the exporter only ships verbatim code text where `rights_manifest.csv` allows it. ## Licensing * **This sample:** [CC BY-NC 4.0](LICENSE) — attribution, non-commercial — applies to the MatrixNorm normalization and packaging layer. * **Underlying data:** the source releases keep their own licenses (copies included as `LICENSE-*-UNDERLYING-*.txt`); repository content stays under each repository's license. See [NOTICE](NOTICE). * **Commercial use** of the normalized package requires the paid license. ## Limitations * Task validity gates are `not_run` until real execution evidence exists. * Issue and PR text is reproduced from public GitHub as published in the source releases. * Not produced, reviewed or endorsed by the authors of any source dataset. ## Citation > SWEGraph v2 (free sample). MatrixNorm normalization by williamTLmiller, derived from > SWE-bench, SWE-smith, SWE-bench Pro and BigCodeBench. https://huggingface.co/datasets/williamTLmiller/matrixnorm-swegraph-v2-sample ## Contact energea@energeatech.com