Datasets:
File size: 5,003 Bytes
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configs:
- config_name: repo_split_balanced
data_files:
- split: train
path: repo_split_balanced/train-*
- split: validation
path: repo_split_balanced/validation-*
- split: test
path: repo_split_balanced/test-*
- config_name: random_shuffle
data_files:
- split: train
path: random_shuffle/train-*
- split: validation
path: random_shuffle/validation-*
- split: test
path: random_shuffle/test-*
task_categories:
- text-retrieval
language:
- en
- zh
---
# ArkTS-CodeSearch-Pro: A Cleaned and License-Aware ArkTS Dataset
[Original Dataset](https://huggingface.co/datasets/hreyulog/arkts-code-docstring) | [Pro Dataset](https://huggingface.co/datasets/hreyulog/arkts-code-docstring-pro) | [Paper](https://huggingface.co/papers/2602.05550) | [Evaluation Code](https://github.com/hreyulog/retrieval_eval) | [Dataset Processing Code](https://github.com/hreyulog/arkts-codesearch)
This dataset is an improved version of [ArkTS-CodeSearch](https://huggingface.co/datasets/hreyulog/arkts-code-docstring). 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_balanced` groups repositories by normalized `nwo` across 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 normalized `nwo` repository isolation. It contains 24,932 training, 3,116 validation, and 3,116 test examples.
- `random_shuffle`: globally shuffled split with seed `20260714`. 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
```python
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:
```bibtex
@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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