label stringlengths 14 52 | messages listlengths 1 1 | metadata dict | prompt listlengths 1 1 |
|---|---|---|---|
rochacbruno__dynaconf-209 | [
{
"content": "[RFC] Allow python.module.path on INCLUDES_FOR_DYNACONF\nDynaconf right now can load includes, the includes should be a list of paths like `['/path/to/file.yaml', '/path/to/glob/*.toml']`\r\n\r\n**Problem**\r\n\r\nIt should also allow includes by `['python.module.paths'..]` instead of only `glob-a... | {
"base_commit": "05c41dc97c9dfe3a19ac57032a0a7acae9d8de72",
"benchmark": "SWE-ReBench-V2",
"image_name": "docker.io/swerebenchv2/rochacbruno-dynaconf:209-05c41dc",
"instance_id": "rochacbruno__dynaconf-209",
"privileged_info": {
"pi_artifact_sha256": "7c6020c9ff681804708f472cd3343e55f5e459c496cf1776f721a... | [
{
"content": "[RFC] Allow python.module.path on INCLUDES_FOR_DYNACONF\nDynaconf right now can load includes, the includes should be a list of paths like `['/path/to/file.yaml', '/path/to/glob/*.toml']`\r\n\r\n**Problem**\r\n\r\nIt should also allow includes by `['python.module.paths'..]` instead of only `glob-a... |
pydantic__pydantic-6288 | [
{
"content": "Recursive model definitions with discriminated unions fail at import time\n### Initial Checks\n\n- [X] I confirm that I'm using Pydantic V2 installed directly from the `main` branch, or equivalent\n\n### Description\n\nThis issue appears when defining a recursive type containing a discriminated un... | {
"base_commit": "82effa30ec3e2e952113cf7304e84423b5262b58",
"benchmark": "SWE-Gym",
"image_name": "hf://datasets/jiaxingx/sif-files-for-swe/sif/pydantic__pydantic-6288.sif",
"instance_id": "pydantic__pydantic-6288",
"privileged_info": {
"pi_artifact_sha256": "7eccea21f62fa732b8cb3b888bd8ce495da03a741d945... | [
{
"content": "Recursive model definitions with discriminated unions fail at import time\n### Initial Checks\n\n- [X] I confirm that I'm using Pydantic V2 installed directly from the `main` branch, or equivalent\n\n### Description\n\nThis issue appears when defining a recursive type containing a discriminated un... |
pycqa__pyflakes-396 | [
{
"content": "undefined name '__annotations__' when use __annotations__ in module level\nEnvironment:\r\n- Python==3.7.1\r\n- pyflakes==2.0.0\r\n\r\nWhen using pyflake to check following code:\r\n\r\n```Python3\r\n# t.py\r\na: int = 2\r\nprint(__annotations__)\r\n```\r\n\r\nIt will reported that\r\n\r\n```\r\nt... | {
"base_commit": "6ee966df7e1973771f578bb6d5d041785a0685ec",
"benchmark": "SWE-ReBench-V2",
"image_name": "docker.io/swerebenchv2/pycqa-pyflakes:396-6ee966d",
"instance_id": "pycqa__pyflakes-396",
"privileged_info": {
"pi_artifact_sha256": "ba105c0cd709c089e650b041bbf3dcefb911ed0a08b2754be3d20e65405e5eda"... | [
{
"content": "undefined name '__annotations__' when use __annotations__ in module level\nEnvironment:\r\n- Python==3.7.1\r\n- pyflakes==2.0.0\r\n\r\nWhen using pyflake to check following code:\r\n\r\n```Python3\r\n# t.py\r\na: int = 2\r\nprint(__annotations__)\r\n```\r\n\r\nIt will reported that\r\n\r\n```\r\nt... |
dynaconf__dynaconf-1185 | [
{
"content": "[bug] Regression: get_history() of dynamic value throwing DynaconfFormatError\n**Describe the bug**\r\nIn release 3.2.6 calling `get_history()` on a `LazySettings` object with a dotted key having a dynamic `@format` value incorrectly throws a `dynaconf.utils.parse_conf.DynaconfFormatError`. This i... | {
"base_commit": "dce176da7cdd42d0c7a169bce2676508c2d6bc6b",
"benchmark": "SWE-ReBench-V2",
"image_name": "docker.io/swerebenchv2/dynaconf-dynaconf:1185-dce176d",
"instance_id": "dynaconf__dynaconf-1185",
"privileged_info": {
"pi_artifact_sha256": "4bb32c1080a593ef6aee6ba0aaed1972f9ee408aefc4934c3a9cc7af1... | [
{
"content": "[bug] Regression: get_history() of dynamic value throwing DynaconfFormatError\n**Describe the bug**\r\nIn release 3.2.6 calling `get_history()` on a `LazySettings` object with a dotted key having a dynamic `@format` value incorrectly throws a `dynaconf.utils.parse_conf.DynaconfFormatError`. This i... |
python-attrs__attrs-1320 | [
{
"content": "`attr.filters.exclude` or `include` not simultaneously usable with `validators.in_` set.\nWhen using one of the mentioned filter functions in `attrs.as_dict` or `as_tuple` on frozen nodes that have attributes with `attrs.validators.in_` set as their validator, the following TypeError is thrown: \... | {
"base_commit": "09161fc9181bf94aa3bbc5509c663d736a9553dc",
"benchmark": "SWE-ReBench-V2",
"image_name": "docker.io/swerebenchv2/python-attrs-attrs:1320-09161fc",
"instance_id": "python-attrs__attrs-1320",
"privileged_info": {
"pi_artifact_sha256": "07125653bed150c73745e1a5595931eddb6b64390817da40bd6fd23... | [
{
"content": "`attr.filters.exclude` or `include` not simultaneously usable with `validators.in_` set.\nWhen using one of the mentioned filter functions in `attrs.as_dict` or `as_tuple` on frozen nodes that have attributes with `attrs.validators.in_` set as their validator, the following TypeError is thrown: \... |
berriai__litellm-10633 | [
{
"content": "[Feature]: Flag to always send queries via the lite_proxy\n### The Feature\n\nHi all, \n\nwe can use the proxy via various ways but it's never transparent. \nI would like to add a new variable that would always send queries via the proxy without changing code or anything else:\n\nproposal:\n```pyt... | {
"base_commit": "a4fb1da2d9be87803221f4fed39486b51c9a880f",
"benchmark": "SWE-ReBench-V2",
"image_name": "docker.io/swerebenchv2/berriai-litellm:10633-a4fb1da",
"instance_id": "berriai__litellm-10633",
"privileged_info": {
"pi_artifact_sha256": "17609dadeb1a3ff5aeeb05caa049715741d9520b49b8bf8db6058736981... | [
{
"content": "[Feature]: Flag to always send queries via the lite_proxy\n### The Feature\n\nHi all, \n\nwe can use the proxy via various ways but it's never transparent. \nI would like to add a new variable that would always send queries via the proxy without changing code or anything else:\n\nproposal:\n```pyt... |
jelmer__dulwich-1160 | [
{
"content": "AttributeError: 'MemoryObjectStore' object has no attribute 'add_pack_data'\nHi,\r\n\r\nI just updated from `0.20.50` to `0.21.3` and I'm getting this error now:\r\n\r\n```\r\nTraceback (most recent call last):\r\n #\r\n # START my code\r\n #\r\n File \"/Users/xyz/Projects/fs-code/src/codefs/_... | {
"base_commit": "dcdafdf7db10d59342377a05c8083f2ddb9de664",
"benchmark": "SWE-ReBench-V2",
"image_name": "docker.io/swerebenchv2/jelmer-dulwich:1160-dcdafdf",
"instance_id": "jelmer__dulwich-1160",
"privileged_info": {
"pi_artifact_sha256": "81b972490c9524c141a1634241cc19c54e524624074480591cbcbc5334dff0e... | [
{
"content": "AttributeError: 'MemoryObjectStore' object has no attribute 'add_pack_data'\nHi,\r\n\r\nI just updated from `0.20.50` to `0.21.3` and I'm getting this error now:\r\n\r\n```\r\nTraceback (most recent call last):\r\n #\r\n # START my code\r\n #\r\n File \"/Users/xyz/Projects/fs-code/src/codefs/_... |
pymodbus-dev__pymodbus-1659 | [
{
"content": "minval and maxval for float32 in simulator\n<!--\r\nBefore opening a new issue, make sure you do the following:\r\n\r\n- Check that your issue isn't already filed: https://github.com/pymodbus-dev/pymodbus/issues\r\n- Check the discussions forum https://github.com/pymodbus-dev/pymodbus/discussions\... | {
"base_commit": "5a9f083398b1ecc8b4c3c4ebf13d636c42f55151",
"benchmark": "SWE-ReBench-V2",
"image_name": "docker.io/swerebenchv2/pymodbus-dev-pymodbus:1659-5a9f083",
"instance_id": "pymodbus-dev__pymodbus-1659",
"privileged_info": {
"pi_artifact_sha256": "415c4bf273c58ba12d44c816b8716ccebf3ac7c5df977d251... | [
{
"content": "minval and maxval for float32 in simulator\n<!--\r\nBefore opening a new issue, make sure you do the following:\r\n\r\n- Check that your issue isn't already filed: https://github.com/pymodbus-dev/pymodbus/issues\r\n- Check the discussions forum https://github.com/pymodbus-dev/pymodbus/discussions\... |
aio-libs__aiohttp-10556 | [{"content":"Memory Leak Due to Cyclic References in Traceback\n### Describe the bug\n\nA potential (...TRUNCATED) | {"base_commit":"d067260df75e4d04a23a0481cf9cf8f7194c80f1","benchmark":"SWE-ReBench-V2","image_name":(...TRUNCATED) | [{"content":"Memory Leak Due to Cyclic References in Traceback\n### Describe the bug\n\nA potential (...TRUNCATED) |
tox-dev__pipdeptree-171 | [{"content":"AssertionError with -u option\nwindows 10\r\nPython 3.10.2\r\npip 21.3.1\r\npipdeptree (...TRUNCATED) | {"base_commit":"a64ae4a5391bb59e50f809e5b3c6252811f4816c","benchmark":"SWE-ReBench-V2","image_name":(...TRUNCATED) | [{"content":"AssertionError with -u option\nwindows 10\r\nPython 3.10.2\r\npip 21.3.1\r\npipdeptree (...TRUNCATED) |
End of preview. Expand in Data Studio
OPSD PI MultiRepo — All-Outcomes（普通版）
本仓库公开发布之前已生成的多仓库 PI，供 OPSD 训练下载。1024 条任务、122 个仓库，每题包含 5 个阶段 × 3 种强度，共 15 条 PI 内容。
数据身份
按仓库平衡抽样，不按 student 结果筛选：476 条 resolved、473 条 unresolved、75 条 infrastructure-error。这里的 infrastructure-error 是历史筛选来源，发布的是任务及 PI，而不是失败 rollout。
- SWE-ReBench-V2：929 条。
- SWE-Gym：95 条。
- 抽样 seed：42。原始选择日期：2026-09-22；新增 ReBench PI 合成批次：2026-09-24；本次公开发布日期：2026-10-15。
- 历史筛选 student：
jiaxingx/privilege-code-opsd-ckpts/qwen35-9b-expert-sft-131k-lora64-block28-2996448/checkpoint-best，agent：mini-swe-agent 2.3.0。这个标识记录历史模型身份，不保证该模型当前可公开下载。 - 另一组：LSW142857/OPSD-PI-MultiRepo-Student-Fail-1024。
两组是替代实验组，不是 train/test 划分。它们重叠 460 个 instance ID、466 个相同 problem statement；各组内部没有重复 ID 或问题文本。新 SFT 模型的成功/失败结果可能不同，不能把历史 student-fail 当作新模型已重新评测的结论。
文件与下载
data/train.jsonl：完整训练数据，顶层字段label/messages/metadata/prompt。data/manifest.json：来源、抽样信息、PI 校验警告、文件哈希、逐题 PI 来源标识。data/repo_counts.json：122 个仓库的逐仓库条数。SHA256SUMS：发布文件校验值。
hf download LSW142857/OPSD-PI-MultiRepo-All-Outcomes-1024 --repo-type dataset --local-dir ./OPSD-PI-MultiRepo-All-Outcomes-1024
cd OPSD-PI-MultiRepo-All-Outcomes-1024
sha256sum -c SHA256SUMS
wc -l data/train.jsonl
为严格复现，请将 --revision <commit SHA> 加入下载命令，固定仓库版本。
JSONL 可直接逐行读取，或使用 datasets.load_dataset("json", data_files="data/train.jsonl", split="train")。OPSD 使用 prompt 作为公开任务输入，并按配置从下列路径选择 teacher PI：
metadata.privileged_info.pi_options
EXPLORE / REPRODUCE / DIAGNOSE / EDIT / VERIFY
WEAK / MEDIUM / STRONG
content / evidence_ids / name
metadata 另含 instance_id、benchmark、repo、base_commit、repository_path、image_name、problem_statement。环境字段是平铺格式。此仓库不包含模型权重、容器镜像、student 轨迹、PI 合成完整轨迹或原始 gold/test patch 字段。
PI 来源和质量边界
SWE-ReBench-V2 PI 来自历史 deepseek/deepseek-flash 合成批次中已经 accepted 的输出；SWE-Gym 复用已有 schema 1.1 PI。合成目录名称中虽有 medium，本发布包含 WEAK、MEDIUM、STRONG 三档，未丢弃其他阶段或档位。
本版本使用原始 all-outcomes 选择顺序，拼接同一批已接受 PI，并补齐训练加载器使用的 prompt 字段；未重新生成 PI。它与 student-fail 是不同训练集合，切换时需使用本仓库自己的数据 SHA 和实验名。
训练 JSONL SHA-256：c4871de887cd1c824b2e23ab6b3fca5eb81834573f51c0be9dcd36aef14df9a0。
保留历史合成批次的接受策略和校验警告：本组有 929 条任务记录了警告，共 14269 条警告；详情在 manifest 的 provenance[].validation_warnings。这些包括阶段纯度、与测试代码的短片段重合及证据审计警告。数据通过结构和完整性检查不等于全部 PI 语义都正确。PI 含有解题特权信息，只应按实验设计供 teacher 使用，不应直接拼入无 PI 的 student 或评测输入。
来源与使用条款
任务来自 SWE-Gym 和 SWE-ReBench-V2 及其各自上游代码仓库。每条记录保留 benchmark/repo/base_commit 用于追溯。此发布不为上游内容重新授予统一许可证；使用和再分发时应分别遵守相应原始数据、代码与生成服务条款。
只发布完成训练所需的任务和 PI 及可移植来源说明；旧机器路径不构成下载依赖。manifest 中 PI artifact hash 指向历史生成文件，相关原始生成文件没有另行打包进本仓库。
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