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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<n<100K
task_categories:
- text-generation
task_ids:
- language-modeling
annotations_creators:
- machine-generated
language_creators:
- found
source_datasets:
- original
tags:
- code
- code-generation
- software-engineering
- program-repair
- bug-fixing
- github
- github-issues
- pull-requests
- swe-bench
- swe-smith
- coding-agent
- agents
- llm-evaluation
- benchmark
- contamination
- decontamination
- python
- matrixnorm
configs:
- config_name: agent_tasks
data_files:
- split: train
path: parquet/agent_tasks.parquet
- config_name: contamination_groups
data_files:
- split: train
path: parquet/contamination_groups.parquet
- config_name: diff_hunks
data_files:
- split: train
path: parquet/diff_hunks.parquet
- config_name: environments
data_files:
- split: train
path: parquet/environments.parquet
- config_name: eval_tasks
data_files:
- split: train
path: parquet/eval_tasks.parquet
- config_name: execution_proofs
data_files:
- split: train
path: parquet/execution_proofs.parquet
- config_name: heldout_eval
data_files:
- split: train
path: parquet/heldout_eval.parquet
- config_name: identity_groups
data_files:
- split: train
path: parquet/identity_groups.parquet
- config_name: issues
data_files:
- split: train
path: parquet/issues.parquet
- config_name: pull_requests
data_files:
- split: train
path: parquet/pull_requests.parquet
- config_name: quality
data_files:
- split: train
path: parquet/quality.parquet
- config_name: repos
data_files:
- split: train
path: parquet/repos.parquet
- config_name: split_manifests
data_files:
- split: train
path: parquet/split_manifests.parquet
- config_name: split_memberships
data_files:
- split: train
path: parquet/split_memberships.parquet
- config_name: task_validity
data_files:
- split: train
path: parquet/task_validity.parquet
- config_name: tests
data_files:
- split: train
path: parquet/tests.parquet
- config_name: train
data_files:
- split: train
path: parquet/train.parquet
SWE-bench Style Coding Agent Dataset: GitHub Issues, Patches & Tests (Decontaminated)
Release name: SWEGraph v2 — Free Sample
A free, deterministic ~10% sample of SWEGraph v2: the complete SWE-bench family,
SWE-smith and BigCodeBench normalized into proof chains (repo -> 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).
- Format: gzipped CSV in
csv/(all columns as text; list fields pipe-delimited) plus a Parquet mirror inparquet/with identical rows, used byload_datasetand the viewer.
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_idkeep the sampled families; group, quality, validity, proof, environment and membership rows are kept when they refer to a kept task or record.split_manifestsis included in full. - The
splitcolumn 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 — 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. - Commercial use of the normalized package requires the paid license.
Limitations
- Task validity gates are
not_rununtil 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