Multi-Docker-Eval / README.md
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metadata
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

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 and RepoLaunch 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).