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metadata
dataset_info:
  features:
    - name: task_id
      dtype: string
    - name: repo
      dtype: string
    - name: pr_number
      dtype: int32
    - name: base_sha
      dtype: string
    - name: head_sha
      dtype: string
    - name: task
      dtype: string
    - name: plan
      list:
        - name: subtask_id
          dtype: string
        - name: goal
          dtype: string
        - name: scope_files
          list: string
    - name: subagents
      list:
        - name: subtask_id
          dtype: string
        - name: scope_files
          list: string
        - name: solution_diff
          dtype: string
        - name: summary
          dtype: string
    - name: revisions
      list:
        - name: subtask_id
          dtype: string
        - name: comment
          dtype: string
        - name: revised_diff
          dtype: string
    - name: final_diff
      dtype: string
    - name: num_subtasks
      dtype: int32
    - name: num_changed_files
      dtype: int32
  splits:
    - name: train
      num_bytes: 7867623532
      num_examples: 34696
  download_size: 2326027093
  dataset_size: 7867623532
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - code
  - agents
  - github
  - swe
  - trajectories
  - planning
license: other
language:
  - code
  - en
size_categories:
  - 10K<n<100K
task_categories:
  - text-generation
pretty_name: GitHub PR Agent Trajectories

Description

Reconstructed multi-step agent trajectories for resolving public GitHub PRs: a plan of subtasks and per-subtask subagents with scoped files and solution diffs.

Derived dataset. Source material retains its original per-item licence (see source/repo columns); treat as other / mixed. Provided as-is.

Usage

from datasets import load_dataset
ds = load_dataset("PotatoHD/github-pr-agent-trajectories")