| --- |
| 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 |
|
|
| [Evaluation Code](https://anonymous.4open.science/r/retrieval_eval-3FA8) |[Dataset processing Code](https://anonymous.4open.science/r/arkts-codesearch-2140) | [Fine-Tuned Model](https://anonymous-hf.com/a/9ikxxiq5fvkp/) |
|
|
| This dataset contains function-level information from ArkTS (`.ets`) projects, including function source code, normalized docstrings, AST representations, and repository metadata. It is intended for code retrieval, code understanding, and AST-based research. |
|
|
|
|
|
|
|  |
|
|
| Compared with the original release, 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 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( |
| "XXX/arkts-code-docstring-for-anonymous", |
| name="repo_split_balanced", |
| ) |
| |
| # Random-shuffle configuration |
| random_dataset = load_dataset( |
| "XXX/arkts-code-docstring-for-anonymous", |
| 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 dataset does not grant a new license over the source code. |
|
|
