dataset_info:
- config_name: commitchronicle-py-long
features:
- name: hash
dtype: string
- name: repo
dtype: string
- name: date
dtype: string
- name: license
dtype: string
- name: message
dtype: string
- name: mods
struct:
- name: diff
list:
- name: change_type
dtype: string
- name: new_path
dtype: string
- name: old_path
dtype: string
- name: diff
dtype: string
- name: file_src
struct:
- name: old_path
dtype: string
- name: new_path
dtype: string
- name: old_contents
dtype: string
- name: new_contents
dtype: string
splits:
- name: test
num_bytes: 1225963
num_examples: 163
download_size: 485771
dataset_size: 1225963
- config_name: commitchronicle-py-long-labels
features:
- name: hash
dtype: string
- name: repo
dtype: string
- name: date
dtype: string
- name: license
dtype: string
- name: message
dtype: string
- name: label
dtype: int8
- name: comment
dtype: string
splits:
- name: test
num_bytes: 272359
num_examples: 858
download_size: 155079
dataset_size: 272359
configs:
- config_name: commitchronicle-py-long
data_files:
- split: test
path: commitchronicle-py-long/test-*
- config_name: commitchronicle-py-long-labels
data_files:
- split: test
path: commitchronicle-py-long-labels/test-*
๐๏ธ Long Code Arena (Commit Message Generation)
This is the benchmark for Commit Message Generation task as part of ๐๏ธ Long Code Arena benchmark.
How-to
Since the dataset is private, if you haven't used HF Hub before, add your token via
huggingface-cli
first:huggingface-cli login
List all the available configs via
datasets.get_dataset_config_names
and choose an appropriate oneLoad the data via
load_dataset
:from datasets import load_dataset configuration = "TODO" # select a configuration dataset = load_dataset("JetBrains-Research/lca-cmg", configuration, split="test")
Note that all the data we have is considered to be inthe test split.
Note. Working with git repositories under repos
directory is not supported via ๐ค Datasets. Download and extract the contents of each repository. We provide a full list of files in paths.json
.
Dataset Structure
This dataset contains three kinds of data:
- full data about each commit (including modifications)
- metadata with quality labels
- compressed git repositories
Full data
This section concerns configuration with full data about each commit (no -labels
suffix).
Each example has the following fields:
Field | Description |
---|---|
repo |
Commit repository. |
hash |
Commit hash. |
date |
Commit date. |
license |
Commit repository's license. |
message |
Commit message. |
mods |
Modifications from commit (see below for details). |
We consider two possible commit modifications formats:
- lists of file diffs
- full file sources before and after commit
Currently, only CommitChronicle is considered as an input source, so only the first commit modifications format is used.
List of diffs (CommitChronicle)
Data point example:
{'hash': 'b76ed0db81b3123ede5dc5e5f1bddf36336f3722',
'repo': 'apache/libcloud',
'date': '05.03.2022 17:52:34',
'license': 'Apache License 2.0',
'message': 'Add tests which verify that all OpenStack driver can be instantiated\nwith all the supported auth versions.\nNOTE: Those tests will fail right now due to the regressions being\nintroduced recently which breaks auth for some versions.',
'mods': {'diff': [{'change_type': 'MODIFY',
'new_path': 'libcloud/test/compute/test_openstack.py',
'old_path': 'libcloud/test/compute/test_openstack.py',
'diff': '@@ -39,6 +39,7 @@ from libcloud.utils.py3 import u\n<...>'}],
'file_src': None}}
Labels
This section concerns configuration with metadata and labels (with -labels
suffix).
Each example has the following fields:
Field | Description |
---|---|
repo |
Commit repository. |
hash |
Commit hash. |
date |
Commit date. |
license |
Commit repository's license. |
message |
Commit message. |
label |
Label of current commit as a target for CMG task. |
comment |
Comment for a label for current commit (optional, might be empty). |
Labels are in 1-5 scale, where:
- 1 โ strong no
- 2 โ weak no
- 3 โ unsure
- 4 โ weak yes
- 5 โ strong yes
Data point example:
{'hash': '1559a4c686ddc2947fc3606e1c4279062cc9480f',
'repo': 'appscale/gts',
'date': '15.07.2018 21:00:39',
'license': 'Apache License 2.0',
'message': 'Add auto_id_policy and logs_path flags\n\nThese changes were introduced in the 1.7.5 SDK.',
'label': 1,
'comment': 'no way to know the version'}
Git Repositories
This section concerns repos
directory, which stores compressed Git repositories for all the commits in this benchmark. After you download and extract it, you can work with each repository either via Git or via Python libraries like GitPython or PyDriller.