Datasets:
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README.md
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@@ -10,159 +10,6 @@ tags:
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- code
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- swe
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- rl
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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dataset_info:
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features:
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- name: base_commit
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dtype: string
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- name: created_at
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dtype: string
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- name: image_name
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dtype: string
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- name: instance_id
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dtype: string
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- name: interface
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dtype: string
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- name: language
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dtype: string
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- name: license
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dtype: string
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- name: patch
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dtype: string
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- name: pr_description
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dtype: string
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- name: problem_statement
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dtype: string
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- name: repo
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dtype: string
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- name: test_patch
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dtype: string
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- name: FAIL_TO_PASS
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list: string
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- name: PASS_TO_PASS
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list: string
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- name: install_config
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struct:
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- name: base_image_name
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dtype: string
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- name: docker_specs
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struct:
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- name: _variant
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dtype: string
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- name: bazel_version
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dtype: string
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- name: bun_version
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dtype: string
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dtype: string
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dtype: string
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- name: docker_version
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dtype: string
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- name: erlang_version
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dtype: string
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- name: gcc_version
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dtype: string
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- name: go_version
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dtype: string
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- name: helm_version
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dtype: string
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- name: java_version
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dtype: string
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- name: jdk_version
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dtype: string
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- name: llvm_version
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dtype: string
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- name: lua_version
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dtype: string
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- name: luajit_version
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dtype: string
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- name: neovim_version
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dtype: string
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dtype: string
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- name: npm_version
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dtype: string
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- name: nvim_version
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dtype: string
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- name: pnpm_version
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dtype: string
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- name: python_image
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dtype: string
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- name: python_version
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dtype: string
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- name: redis_version
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dtype: string
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- name: ruby_version
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dtype: string
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dtype: string
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dtype: string
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- name: sqlite_version
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dtype: string
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- name: install
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list: string
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- name: log_parser
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dtype: string
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- name: test_cmd
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dtype: string
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- name: meta
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struct:
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- name: llm_metadata
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struct:
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- name: code
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dtype: string
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- name: confidence
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dtype: float64
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- name: detected_issues
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struct:
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- name: B1
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dtype: bool
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- name: B2
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dtype: bool
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- name: B3
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dtype: bool
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dtype: bool
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dtype: bool
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- name: B6
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dtype: bool
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- name: difficulty
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dtype: string
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- name: external_urls
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list: string
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- name: intent_completeness
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dtype: string
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- name: pr_categories
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list: string
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- name: reasoning
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dtype: string
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- name: test_alignment_issues
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list: string
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- name: num_modified_files
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dtype: int64
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- name: num_modified_lines
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dtype: int64
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- name: pr_author
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dtype: string
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- name: pr_labels
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list: string
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- name: pr_url
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dtype: string
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splits:
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- name: train
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num_bytes: 276334043
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num_examples: 6275
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download_size: 226440922
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dataset_size: 276334043
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---
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# SWE-rebench-V2-Filtered-Verified
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@@ -171,7 +18,7 @@ dataset_info:
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Filtered and gold-patch-verified subset of Nebius's
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[SWE-rebench-V2](https://huggingface.co/datasets/nebius/SWE-rebench-V2)
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([paper](https://arxiv.org/abs/2602.23866)): **6,
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across 17 languages. Default dataset of the `swerebench_v2_v1` taskset.
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## Changes vs upstream
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* Gold-patch validation pass 1 via SolveEnv — reward 1.0 required.
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* Independent pass 2 — flaky rows removed.
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* No-edit pass — rows solvable with zero edits removed.
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Per-row outcomes ship with this repo (`swe-rebench-v2-validation.jsonl`,
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`swe-rebench-v2-flaky-instances.json`, `swe-rebench-v2-no-edit-pass-exclusions.jsonl`
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`image_name` is rewritten to the public Prime image registry (`prime/primeintellect/...`) so
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sandbox rollouts avoid Docker Hub rate limits and get fast pulls. Schema is otherwise unchanged.
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@@ -205,7 +56,7 @@ License mirrors upstream: CC-BY-4.0.
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| Split | Rows |
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|---|---:|
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| `train` | 6,
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## How to use
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@@ -295,6 +146,16 @@ Plus a no-edit pass blocklist at
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``swe-rebench-v2-no-edit-pass-exclusions.jsonl``: instances where the no-edit
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debugger got reward 1.0, meaning the tests pass without applying any agent edit.
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After filtering, ``image_name`` is rewritten from
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``docker.io/swerebenchv2/<name>:<tag>`` to the public Prime image registry at
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``prime/primeintellect/<name>:<tag>`` (the ``swerebenchv2/`` namespace is
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@@ -366,6 +227,12 @@ _NO_EDIT_PASSING = frozenset(
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json.loads(line)["instance_id"] for line in _NO_EDIT_PASS_PATH.read_text(encoding="utf-8").splitlines() if line
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)
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# statamic/cms rows add PHP tests but run unrelated JS suites, so base +
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# test_patch can score reward 1.0 without the issue fix.
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_DROP_REPOS = frozenset({"statamic/cms"})
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@@ -427,6 +294,8 @@ def _passes_filter(example: dict, min_confidence: float) -> bool:
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return False
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if example.get("instance_id") in _NO_EDIT_PASSING:
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return False
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if (example.get("repo") or "").lower() in _DROP_REPOS:
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return False
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return True
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@@ -485,12 +354,13 @@ def main(repo_name: str, push_to_hub: bool, private: bool, min_confidence: float
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create_repo(repo_name, private=private, repo_type="dataset", exist_ok=True)
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push_card_to_hub(repo_name, push_to_hub)
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dataset.push_to_hub(repo_name, private=private)
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-
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-
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-
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-
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-
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-
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print(f"✅ Pushed dataset to https://huggingface.co/datasets/{repo_name}")
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- code
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- swe
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- rl
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---
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# SWE-rebench-V2-Filtered-Verified
|
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Filtered and gold-patch-verified subset of Nebius's
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[SWE-rebench-V2](https://huggingface.co/datasets/nebius/SWE-rebench-V2)
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+
([paper](https://arxiv.org/abs/2602.23866)): **6,272 / 32,079** freshly-mined GitHub PR tasks
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across 17 languages. Default dataset of the `swerebench_v2_v1` taskset.
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## Changes vs upstream
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* Gold-patch validation pass 1 via SolveEnv — reward 1.0 required.
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* Independent pass 2 — flaky rows removed.
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* No-edit pass — rows solvable with zero edits removed.
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+
* RL always-fail audit (2026-07) — instances that scored 0.0 in every 16-rollout group across
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+
independent GLM-5.2 RL samplings were re-gold-validated twice; 2 deterministically
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+
unresolvable + 1 flaky removed.
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Per-row outcomes ship with this repo (`swe-rebench-v2-validation.jsonl`,
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+
`swe-rebench-v2-flaky-instances.json`, `swe-rebench-v2-no-edit-pass-exclusions.jsonl`,
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+
`swe-rebench-v2-rl-alwaysfail-exclusions.json`).
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`image_name` is rewritten to the public Prime image registry (`prime/primeintellect/...`) so
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sandbox rollouts avoid Docker Hub rate limits and get fast pulls. Schema is otherwise unchanged.
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|
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| Split | Rows |
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|---|---:|
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+
| `train` | 6,272 |
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## How to use
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| 62 |
|
|
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``swe-rebench-v2-no-edit-pass-exclusions.jsonl``: instances where the no-edit
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debugger got reward 1.0, meaning the tests pass without applying any agent edit.
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+
Plus an RL always-fail audit blocklist at
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+
``swe-rebench-v2-rl-alwaysfail-exclusions.json``: instances flagged during
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+
GLM-5.2 RL training (every 16-rollout group scored 0.0 across independent
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+
samplings) and then gold-validated twice via the ``swerebench_v2_v1`` taskset's
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+
``validate`` hook (2026-07-17). Two are deterministically unresolvable under
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+
the current verifier (graded FAIL_TO_PASS tests the row's ``test_cmd`` never
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+
runs, or tests needing JDK toolchains absent from the image) and one is flaky
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+
(2,422 all-or-nothing tests spawning servers/ports). Per-row verdicts and
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+
reasons live in the file.
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+
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After filtering, ``image_name`` is rewritten from
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``docker.io/swerebenchv2/<name>:<tag>`` to the public Prime image registry at
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``prime/primeintellect/<name>:<tag>`` (the ``swerebenchv2/`` namespace is
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json.loads(line)["instance_id"] for line in _NO_EDIT_PASS_PATH.read_text(encoding="utf-8").splitlines() if line
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)
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+
# RL always-fail audit exclusions: instances whose reward was 0.0 in every
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+
# 16-rollout group across independent GLM-5.2 RL samplings, then gold-validated
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+
# twice (2026-07-17) — two deterministically unresolvable, one flaky.
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+
_RL_ALWAYSFAIL_PATH = Path(__file__).parent / "swe-rebench-v2-rl-alwaysfail-exclusions.json"
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_RL_ALWAYSFAIL = frozenset(entry["instance_id"] for entry in json.loads(_RL_ALWAYSFAIL_PATH.read_text()))
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+
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# statamic/cms rows add PHP tests but run unrelated JS suites, so base +
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# test_patch can score reward 1.0 without the issue fix.
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_DROP_REPOS = frozenset({"statamic/cms"})
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return False
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if example.get("instance_id") in _NO_EDIT_PASSING:
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return False
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+
if example.get("instance_id") in _RL_ALWAYSFAIL:
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return False
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if (example.get("repo") or "").lower() in _DROP_REPOS:
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return False
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return True
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create_repo(repo_name, private=private, repo_type="dataset", exist_ok=True)
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push_card_to_hub(repo_name, push_to_hub)
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dataset.push_to_hub(repo_name, private=private)
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for sidecar in (_NO_EDIT_PASS_PATH, _RL_ALWAYSFAIL_PATH):
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upload_file(
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path_or_fileobj=str(sidecar),
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path_in_repo=sidecar.name,
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repo_id=repo_name,
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repo_type="dataset",
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)
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print(f"✅ Pushed dataset to https://huggingface.co/datasets/{repo_name}")
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|