Datasets:
Update Pro README with cleaning and license improvements
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README.md
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---
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configs:
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- config_name: repo_split_balanced
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data_files:
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- split: train
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path: repo_split_balanced/train-*
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- split: validation
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path: repo_split_balanced/validation-*
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- split: test
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path: repo_split_balanced/test-*
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- config_name: random_shuffle
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data_files:
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- split: train
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path: random_shuffle/train-*
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- split: validation
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path: random_shuffle/validation-*
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- split: test
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path: random_shuffle/test-*
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task_categories:
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- text-retrieval
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language:
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- en
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- zh
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---
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# ArkTS
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---
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configs:
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- config_name: repo_split_balanced
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data_files:
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- split: train
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path: repo_split_balanced/train-*
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- split: validation
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path: repo_split_balanced/validation-*
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- split: test
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path: repo_split_balanced/test-*
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- config_name: random_shuffle
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data_files:
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- split: train
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path: random_shuffle/train-*
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- split: validation
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path: random_shuffle/validation-*
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- split: test
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path: random_shuffle/test-*
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task_categories:
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- text-retrieval
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language:
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- en
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- zh
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---
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# ArkTS-CodeSearch-Pro: A Cleaned and License-Aware ArkTS Dataset
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[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)
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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.
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Compared with the original dataset, this Pro version provides the following improvements:
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- **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.
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- **Repository quality filtering**: only repositories with more than zero stars are retained.
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- **Comment normalization**: comment delimiters such as `//`, `/*`, `*/`, and leading `*` are removed from the docstrings.
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- **Noise removal**: copyright/license headers, code-only comments, and cleaned docstrings shorter than five characters are excluded.
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- **Stronger deduplication**: complete function texts and cleaned queries are globally unique.
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- **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.
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- **Stable split sizes**: both configurations are approximately 80%/10%/10%.
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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.
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## Dataset Structure
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The dataset provides two configurations:
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- `repo_split_balanced`: repository-level split with normalized `nwo` repository isolation. It contains 24,932 training, 3,116 validation, and 3,116 test examples.
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- `random_shuffle`: globally shuffled split with seed `20260714`. It contains 24,931 training, 3,117 validation, and 3,116 test examples.
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## Features / Columns
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| Field | Type | Description |
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|-------|------|------------|
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| `nwo` | string | Repository name |
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| `path` | string | `.ets` file path |
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| `language` | string | Programming language (`arkts`) |
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| `identifier` | string | Function identifier / name |
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| `docstring` | string | Cleaned, normalized function documentation |
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| `function` | string | Original function source code |
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| `ast_function` | string | AST representation generated with tree-sitter-arkts |
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| `obf_function` | string | Legacy obfuscated-function field; currently equal to `function` |
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| `url` | string | Repository or source-code URL when available |
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| `function_sha` | string | Function-content identifier |
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| `source` | string | Code source platform (GitHub / Gitee / GitCode) |
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## Usage
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```python
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from datasets import load_dataset
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# Repository-isolated configuration
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dataset = load_dataset(
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"hreyulog/arkts-code-docstring-pro",
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name="repo_split_balanced",
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)
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# Random-shuffle configuration
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random_dataset = load_dataset(
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"hreyulog/arkts-code-docstring-pro",
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name="random_shuffle",
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)
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print(dataset["train"][0])
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print(dataset["train"].features)
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```
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### License Configuration
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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.
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## Citation
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If you use this dataset in your research, please cite the following paper:
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```bibtex
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@misc{he2026arktscodesearchopensourcearktsdataset,
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title={ArkTS-CodeSearch: A Open-Source ArkTS Dataset for Code Retrieval},
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author={Yulong He and Artem Ermakov and Sergey Kovalchuk and Artem Aliev and Dmitry Shalymov},
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year={2026},
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eprint={2602.05550},
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archivePrefix={arXiv},
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primaryClass={cs.SE},
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url={https://arxiv.org/abs/2602.05550},
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}
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```
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