Datasets:
ArkTS-CodeSearch-Pro: A Cleaned and License-Aware ArkTS Dataset
Original Dataset | Pro Dataset | Paper | Evaluation Code | Dataset Processing Code
This dataset is an improved version of ArkTS-CodeSearch. It contains function-level information from ArkTS (.ets) projects, including function source code, docstrings, AST representations, and repository metadata. It is intended for code retrieval, code understanding, and AST-based research.
Compared with the original dataset, this Pro version provides the following improvements:
- License-aware collection: only repositories with locally identified open-source licenses are included. The supported license families include Apache-2.0, MIT, BSD, GPL, LGPL, and MPL.
- Repository quality filtering: only repositories with more than zero stars are retained.
- Comment normalization: comment delimiters such as
//,/*,*/, and leading*are removed from the docstrings. - Noise removal: copyright/license headers, code-only comments, and cleaned docstrings shorter than five characters are excluded.
- Stronger deduplication: complete function texts and cleaned queries are globally unique.
- Repository-isolated evaluation:
repo_split_balancedgroups repositories by normalizednwoacross GitHub, Gitee, and GitCode, preventing the same cross-platform repository name from appearing in multiple splits. - Stable split sizes: both configurations are approximately 80%/10%/10%.
The final dataset contains 31,164 examples, all extracted from .ets files. The sha column was removed because commit SHA metadata was unavailable for most source repositories; function_sha is retained as a function-content identifier.
Dataset Structure
The dataset provides two configurations:
repo_split_balanced: repository-level split with normalizednworepository isolation. It contains 24,932 training, 3,116 validation, and 3,116 test examples.random_shuffle: globally shuffled split with seed20260714. It contains 24,931 training, 3,117 validation, and 3,116 test examples.
Features / Columns
| Field | Type | Description |
|---|---|---|
nwo |
string | Repository name |
path |
string | .ets file path |
language |
string | Programming language (arkts) |
identifier |
string | Function identifier / name |
docstring |
string | Cleaned, normalized function documentation |
function |
string | Original function source code |
ast_function |
string | AST representation generated with tree-sitter-arkts |
obf_function |
string | Legacy obfuscated-function field; currently equal to function |
url |
string | Repository or source-code URL when available |
function_sha |
string | Function-content identifier |
source |
string | Code source platform (GitHub / Gitee / GitCode) |
Usage
from datasets import load_dataset
# Repository-isolated configuration
dataset = load_dataset(
"hreyulog/arkts-code-docstring-pro",
name="repo_split_balanced",
)
# Random-shuffle configuration
random_dataset = load_dataset(
"hreyulog/arkts-code-docstring-pro",
name="random_shuffle",
)
print(dataset["train"][0])
print(dataset["train"].features)
License Configuration
All included repositories were selected from locally identified open-source repositories. Users must still comply with the individual upstream repository licenses and attribution requirements. This Pro dataset does not grant a new license over the source code.
Citation
If you use this dataset in your research, please cite the following paper:
@misc{he2026arktscodesearchopensourcearktsdataset,
title={ArkTS-CodeSearch: A Open-Source ArkTS Dataset for Code Retrieval},
author={Yulong He and Artem Ermakov and Sergey Kovalchuk and Artem Aliev and Dmitry Shalymov},
year={2026},
eprint={2602.05550},
archivePrefix={arXiv},
primaryClass={cs.SE},
url={https://arxiv.org/abs/2602.05550},
}
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