MultiLang / README.md
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metadata
license: mit
dataset_info:
  features:
    - name: repo
      dtype: string
    - name: pull_number
      dtype: string
    - name: instance_id
      dtype: string
    - name: issue_numbers
      list: 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: all_hints_text
      dtype: string
    - name: commit_urls
      list: string
    - name: created_at
      dtype: string
    - name: commit_url
      dtype: string
    - name: rebuild_cmds
      list: string
    - name: test_cmds
      list: string
    - name: print_cmds
      list: string
    - name: log_parser
      dtype: string
    - name: FAIL_TO_PASS
      list: string
    - name: PASS_TO_PASS
      list: string
    - name: docker_image
      dtype: string
  splits:
    - name: c
      num_bytes: 9819814
      num_examples: 35
    - name: cpp
      num_bytes: 1763388
      num_examples: 29
    - name: go
      num_bytes: 11323896
      num_examples: 46
    - name: js
      num_bytes: 13750757
      num_examples: 54
    - name: rust
      num_bytes: 28790130
      num_examples: 50
    - name: java
      num_bytes: 46065858
      num_examples: 65
    - name: ts
      num_bytes: 9164856
      num_examples: 40
    - name: cs
      num_bytes: 9181522
      num_examples: 41
  download_size: 35463528
  dataset_size: 129860221
configs:
  - config_name: default
    data_files:
      - split: c
        path: data/c-*
      - split: cpp
        path: data/cpp-*
      - split: go
        path: data/go-*
      - split: js
        path: data/js-*
      - split: rust
        path: data/rust-*
      - split: java
        path: data/java-*
      - split: ts
        path: data/ts-*
      - split: cs
        path: data/cs-*

This is the multi - language version of swebench-Live.

We crawled GitHub issues as SWE tasks for coding agents to solve.

We used RepoLaunch to setup docker images as the problem-solving sandboxes for each instance.

Each split is task set of one language.

Each split is filtered by prompting LLM -- discarded if LLM cannot infer test patch from problem statement or problem statement contains solution (in NL or code).