Datasets:
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/repocolumns); treat as other / mixed. Provided as-is.
Usage
from datasets import load_dataset
ds = load_dataset("PotatoHD/github-pr-agent-trajectories")