Datasets:
File size: 3,715 Bytes
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dataset_info:
features:
- name: nwo
dtype: string
- name: sha
dtype: string
- name: path
dtype: string
- name: language
dtype: string
- name: identifier
dtype: string
- name: docstring
dtype: string
- name: function
dtype: string
- name: ast_function
dtype: string
- name: obf_function
dtype: string
- name: url
dtype: string
- name: function_sha
dtype: string
- name: source
dtype: string
splits:
- name: train
num_bytes: 162123504
num_examples: 19561
- name: validation
num_bytes: 18843858
num_examples: 2445
- name: test
num_bytes: 19867797
num_examples: 2446
download_size: 42313088
dataset_size: 200835159
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
task_categories:
- text-retrieval
language:
- en
- zh
---
# ArkTS-CodeSearch: A Open-Source ArkTS Dataset for Code Retrieval
[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.up.railway.app/a/wzovffqk5cim/) | [Repository-Level Split](https://anonymous-hf.up.railway.app/a/bg8yaq3zj3ot/) |
This dataset collects **function-level information from ArkTS (HarmonyOS Ark TypeScript) projects**, including original functions, docstrings, abstract syntax tree (AST) representations, obfuscated versions, and source code metadata. It is suitable for tasks such as code analysis, code understanding, AST research, and code search.
ArkTS is a core programming language in the OpenHarmony ecosystem. This dataset was constructed from open-source repositories crawled from GitHub and Gitee, targeting code retrieval and code evaluation tasks.
Note: ⚠️ Not Enterprise-Ready: This dataset is designed for research only. Some of the collected code may come from repositories without an explicit open-source license. Users should be aware that usage of such code may be subject to copyright restrictions.
## Dataset Structure
The dataset contains three splits:
- `train`: Training set
- `validation`: Validation set
- `test`: Test set
Each split is a **JSON Lines (.jsonl) file**, where each line is a JSON object representing a single function.
## Features / Columns
| Field | Type | Description |
|-------|------|------------|
| `nwo` | string | Repository name |
| `sha` | string | Commit SHA |
| `path` | string | File path |
| `language` | string | Programming language |
| `identifier` | string | Function identifier / name |
| `docstring` | string | Function docstring |
| `function` | string | Original function source code |
| `ast_function` | string | AST representation of the function |
| `obf_function` | string | Obfuscated function source code |
| `url` | string | URL to the code in the repository |
| `function_sha` | string | Function-level SHA |
| `source` | string | Code source (GitHub / Gitee) |
## Usage
```python
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("XXX")
# Inspect the first training example
print(dataset["train"][0])
# Check dataset features
print(dataset["train"].features)
```
### Repo License Configuration
Contains repository license information from two sources:
- `github`: repos_license_github.jsonl
- `gitee`: repos_license_gitee.jsonl
Each line is a JSON object with repository metadata including source platform, repository name, license type, and URL.
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