metadata
dataset_info:
features:
- name: instance_id
dtype: string
- name: repo
dtype: string
- name: base_commit
dtype: string
- name: patch
dtype: string
- name: language
dtype: string
- name: non_code_patch
dtype: string
- name: test_patch
dtype: string
- name: created_at
dtype: string
- name: problem_statement
dtype: string
- name: hints_text
dtype: string
- name: version
dtype: string
- name: environment_setup_commit
dtype: string
- name: FAIL_TO_PASS
dtype: string
- name: PASS_TO_PASS
dtype: string
- name: FAIL_TO_FAIL
dtype: string
- name: license
struct:
- name: key
dtype: string
- name: name
dtype: string
- name: spdx_id
dtype: string
- name: url
dtype: string
splits:
- name: train
num_bytes: 90174137
num_examples: 1000
download_size: 30015778
dataset_size: 90174137
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Codeset-Gym-Python
A gym for training code agents resolve real-world software issues. This version contains issues from Python repositories.
Dataset Structure
| Column | Type | Description |
|---|---|---|
instance_id |
str |
Formatted as owner__repo-issueNumber (e.g. psf__requests-6091) |
repo |
str |
owner/repo |
patch |
str |
Source-code diff that resolves the issue (tests omitted) |
test_patch |
str |
Diff of test files added/changed by the issue resolving commit |
base_commit |
str |
Commit hash before the issue resolution |
environment_setup_commit |
str |
Commit hash of the resolved version, from which the environment was built |
created_at |
str |
ISO timestamp of the issue resolving commit |
problem_statement |
str |
Issue title + body |
hints_text |
str |
Concatenated Issue comments prior to the patch |
version |
str |
Environment version tags |
FAIL_TO_PASS |
List[str] |
A json list of strings that represent the set of tests resolved by the PR and tied to the issue resolution. |
PASS_TO_PASS |
List[str] |
A json list of strings that represent tests that should pass before and after the PR application. |
Usage
from datasets import load_dataset
ds = load_dataset("codeset/codeset-gym-python", split="train")
sample = ds[0]
print(sample["problem_statement"])
print(sample["patch"])
The dataset ships as a single train split.
Built by Codeset