--- 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. ![601790fe-7182-4bb2-bceb-f246c666bcb8](https://cdn-uploads.huggingface.co/production/uploads/653f6ec4e8ed050cb35d2dc9/lByJRQDapEAA5Y5XdEbO2.png) 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}, } ```