SWE-bench_Multilingual_Agentic#
概述#
SWE-bench Multilingual Agentic 是 SWE-bench Multilingual 的代理模式(agentic-mode)评估版本。该基准测试包含 300 个 SWE-bench 风格的任务,覆盖 42 个代码仓库和 9 种编程语言。模型在每个实例专属的 Docker 容器中,通过多轮代理循环自主探索、编辑代码并提交补丁。
任务描述#
任务类型:自动化软件工程 / 缺陷修复(代理式、多语言)
输入:GitHub issue 描述(不含 oracle 文件上下文)
输出:自主编辑后通过
git diff收集的代码补丁(diff 格式)支持语言:C、C++、Go、Java、JavaScript/TypeScript、PHP、Ruby 和 Rust
主要特性#
精心筛选的 300 个 Issue-Pull Request 任务
覆盖 9 种编程语言的 42 个真实开源仓库
每个实例使用独立的 SWE-bench Docker 沙箱环境进行多轮代理交互
使用 fail-to-pass 和 pass-to-pass 测试对补丁进行 SWE-bench 兼容性评估
评估说明#
评估前需安装
pip install swebench==4.1.0自动使用官方 SWE-bench Multilingual x86_64 实例镜像,并自动设置 Docker 平台为
linux/amd64每个实例的 Docker 镜像会自动构建或拉取
每个实例最终补丁验证的超时时间为 1800 秒(30 分钟)
详细设置说明请参阅 使用文档
支持本地构建镜像和远程拉取镜像两种方式
代理模式#
本基准测试在每个实例的 SWE-bench Docker 容器内驱动一个多轮代理循环(与 mini-swe-agent 的 swebench.yaml 配置一致)。模型通过发出 bash 命令探索 /testbed 目录、编辑源文件,并在完成任务时打印哨兵字符串 COMPLETE_TASK_AND_SUBMIT_FINAL_OUTPUT 后附上补丁内容以提交最终 git diff 补丁。
extra_params.action_protocol 可选择以下两种协议:
toolcall(默认):使用 OpenAI 函数调用协议,仅提供一个bash工具。推荐用于支持工具调用的模型。backticks:基于文本的备用方案,每轮期望一个```mswea_bash_command ```代码块。适用于不支持函数调用的模型。
属性#
属性 |
值 |
|---|---|
基准测试名称 |
|
数据集ID |
|
论文 |
N/A |
标签 |
|
指标 |
|
默认示例数 |
0-shot |
评估划分 |
|
数据统计#
指标 |
值 |
|---|---|
总样本数 |
300 |
提示词长度(平均) |
2197.94 字符 |
提示词长度(最小/最大) |
124 / 69351 字符 |
样例示例#
子集: default
{
"input": [
{
"id": "52ece3cf",
"content": "Support Post aggregation function pow(f1,f2) to cater for square, cube , square root.\n### Description\r\n\r\nPlease describe the feature or change with as much detail as possible. \r\n\r\nAs of now the only supported arithmetic functions are +, -, *, ... [TRUNCATED 284 chars] ... \r\n\r\nThe proposal is to add a `pow` function which enables all the about usecase . Square of a number can be represent by pow(f1,2) , Cube can be represented as power(f1 ,3) , Squar root of a number can be represented by power(f1,0.5) ,\r\n\r\n\n"
}
],
"id": 0,
"group_id": 0,
"tools": [
{
"name": "bash",
"description": "Execute a bash command inside the sandbox environment. Returns the combined stdout / stderr output of the command.",
"parameters": {
"properties": {
"command": {
"type": "string",
"description": "The bash command to execute."
},
"timeout": {
"type": "number",
"description": "Maximum execution time in seconds (default: 60).",
"default": 60
}
},
"required": [
"command"
]
}
}
],
"metadata": {
"problem_statement": "Support Post aggregation function pow(f1,f2) to cater for square, cube , square root.\n### Description\r\n\r\nPlease describe the feature or change with as much detail as possible. \r\n\r\nAs of now the only supported arithmetic functions are +, -, *, ... [TRUNCATED 284 chars] ... \r\n\r\nThe proposal is to add a `pow` function which enables all the about usecase . Square of a number can be represent by pow(f1,2) , Cube can be represented as power(f1 ,3) , Squar root of a number can be represented by power(f1,0.5) ,\r\n\r\n\n",
"instance_id": "apache__druid-13704",
"base_commit": "51dfde02840017092486fb75be2b16566aff6a19",
"patch": "diff --git a/docs/querying/post-aggregations.md b/docs/querying/post-aggregations.md\nindex c75d122eb20a..935ca8fbce16 100644\n--- a/docs/querying/post-aggregations.md\n+++ b/docs/querying/post-aggregations.md\n@@ -36,7 +36,7 @@ There are several ... [TRUNCATED 1110 chars] ... }\n+ },\n+\n+ POW(\"pow\") {\n+ @Override\n+ public double compute(double lhs, double rhs)\n+ {\n+ return Math.pow(lhs, rhs);\n+ }\n };\n \n private static final Map<String, Ops> LOOKUP_MAP = new HashMap<>();\n",
"PASS_TO_PASS": [
"org.apache.druid.query.aggregation.post.ArithmeticPostAggregatorTest#testDiv",
"org.apache.druid.query.aggregation.post.ArithmeticPostAggregatorTest#testQuotient"
],
"FAIL_TO_PASS": [
"org.apache.druid.query.aggregation.post.ArithmeticPostAggregatorTest#testPow"
],
"test_patch": "diff --git a/processing/src/test/java/org/apache/druid/query/aggregation/post/ArithmeticPostAggregatorTest.java b/processing/src/test/java/org/apache/druid/query/aggregation/post/ArithmeticPostAggregatorTest.java\nindex a93034427539..7e1d4d112 ... [TRUNCATED 1358 chars] ... s(1.0, agg.compute(ImmutableMap.of(\"value\", 1)));\n+ Assert.assertEquals(1.0, agg.compute(ImmutableMap.of(\"value\", -1)));\n+ Assert.assertEquals(1.0, agg.compute(ImmutableMap.of(\"value\", .5)));\n+ }\n @Test\n public void testDiv()\n {\n",
"version": "13704",
"repo": "apache/druid",
"environment_setup_commit": null,
"hints_text": "",
"created_at": "2023-01-23 04:10:47",
"docker_image": "swebench/sweb.eval.x86_64.apache_1776_druid-13704:latest"
}
}
提示模板#
提示模板:
{question}
额外参数#
参数 |
类型 |
默认值 |
描述 |
|---|---|---|---|
|
|
|
代理动作协议:"toolcall"(主流 OpenAI 函数调用方式,与 mini-swe-agent swebench.yaml 一致)或 "backticks"(针对不支持函数调用模型的基于文本的 mswea_bash_command 回退方案)。可选值:['toolcall', 'backticks'] |
|
|
|
每个样本的最大代理步数。 |
|
|
|
每个 bash 命令的默认超时时间(秒)。 |
|
|
|
为每个样本在本地构建 Docker 镜像。 |
|
|
|
在构建前尝试拉取已存在的远程 Docker 镜像。 |
|
|
|
远程 SWE-bench 镜像在 DockerHub 上的用户/组织命名空间。 |
使用方法#
使用 CLI#
evalscope eval \
--model YOUR_MODEL \
--api-url OPENAI_API_COMPAT_URL \
--api-key EMPTY_TOKEN \
--datasets swe_bench_multilingual_agentic \
--limit 10 # 正式评估时请删除此行
使用 Python#
from evalscope import run_task
from evalscope.config import TaskConfig
task_cfg = TaskConfig(
model='YOUR_MODEL',
api_url='OPENAI_API_COMPAT_URL',
api_key='EMPTY_TOKEN',
datasets=['swe_bench_multilingual_agentic'],
dataset_args={
'swe_bench_multilingual_agentic': {
# extra_params: {} # 使用默认额外参数
}
},
limit=10, # 正式评估时请删除此行
)
run_task(task_cfg=task_cfg)