---
license: apache-2.0
dataset_info:
  features:
  - name: repo
    dtype: string
  - name: pull_number
    dtype: int64
  - name: instance_id
    dtype: string
  - name: issue_numbers
    sequence: string
  - name: base_commit
    dtype: string
  - name: patch
    dtype: string
  - name: test_patch
    dtype: string
  - name: problem_statement
    dtype: string
  - name: hints_text
    dtype: string
  - name: created_at
    dtype: timestamp[s]
  - name: language
    dtype: string
  - name: label
    dtype: string
  splits:
  - name: test
    num_bytes: 81623836
    num_examples: 334
  download_size: 24032638
  dataset_size: 81623836
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
---

# Dataset Summary

Multi-Docker-Eval is a multi-language, multi-dimensional benchmark designed to rigorously evaluate the capability of Large Language Model (LLM)-based agents in automating a critical yet underexplored task: constructing executable Docker environments for real-world software repositories.

# How to Use

```python
from datasets import load_dataset
ds = load_dataset('litble/Multi-Docker-Eval')
```

# Dataset Structure

The data format of Multi-Docker-Eval is directly compatible with the [swe-factory](https://github.com/DeepSoftwareAnalytics/swe-factory) and [RepoLaunch](https://github.com/microsoft/SWE-bench-Live) frameworks.

| **Field name** | **Type** | **Description** |
| --- | --- | --- |
| `instance_id` | str | A formatted instance identifier, usually as `repo_owner__repo_name-PR-number`. |
| `repo` | str | The repository owner/name identifier from GitHub. |
| `pull_number` | int64 | The GitHub pull request number that contains the solution (patch and test_patch). |
| `issue_numbers` | list(str) | A list of the GitHub issue numbers that are addressed and resolved by this pull request. |
| `base_commit` | str | The commit hash of the repository representing the HEAD of the repository before the solution PR is applied. |
| `patch` | str | The gold patch, the patch generated by the PR (minus test-related code), that resolved the issue. |
| `test_patch` | str | A test-file patch that was contributed by the solution PR. |
| `problem_statement` | str | The issue title and body. |
| `hints_text` | str | Comments made on the issue prior to the creation of the solution PR’s first commit creation date. |
| `created_at` | timestamp[s] | The creation date of the pull request. |
| `language` | str | The programming language of the repository. |
| `label` | str | Classification of environmental configuration difficulty (Easy/Hard). |