key_value_grouper
Documents根据给定键中的值将样本分组为批处理样本。当用户提到样本分组、按键值分组、批处理样本、按键聚合、分组聚合等需求时使用此skill。 即使用户没有明确说出"分组"，只要任务涉及将多个样本按某个字段/键的值进行归类合并，就应该使用此skill。
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Key Value Grouper
根据给定键中的值将样本分组为批处理样本。
本SKILL使用依赖data_juicer，请在调用前安装好python环境并安装data_juicer，你可用同以下指令进行安装：
pip install py-data-juicer
核心参数
| 参数 | 类型 | 必填 | 默认值 | 说明 |
|---|---|---|---|---|
| input_path | string | 是 | - | 输入JSON文件路径 |
| output_path | string | 是 | - | 输出JSON文件路径 |
| group_by_keys | string | 否 | "text" | 分组键，逗号分隔，支持嵌套键如 "meta.language" |
使用方法
python scripts/run_key_value_grouper.py --input_path <input_path> --output_path <output_path> [--group_by_keys <keys>]
实现原理
参照测试代码中的 _run_helper 函数：
# 1. 将输入列表转换为Dataset
dataset = Dataset.from_list(samples)
# 2. 初始化算子并执行
op = KeyValueGrouper(group_by_keys=['meta.language'])
new_dataset = op.run(dataset)
# 3. 遍历分组结果
for batched_sample in new_dataset:
lang = batched_sample['meta'][0]['language']
输入输出格式
输入格式 (JSON数组)
[
{"text": "Hello world", "meta": {"language": "en"}},
{"text": "Hello world", "meta": {"language": "en"}},
{"text": "欢迎来到阿里巴巴！", "meta": {"language": "zh"}}
]
输出格式 (JSON数组，每个元素是一组样本)
[
{"text": ["Hello world", "Hello world"], "meta": [{"language": "en"}, {"language": "en"}]},
{"text": ["欢迎来到阿里巴巴！"], "meta": [{"language": "zh"}]}
]
示例
示例1：按默认text字段分组
执行：
python scripts/run_key_value_grouper.py --input_path example_input.json --output_path output.json
示例2：按meta.language分组
执行：
python scripts/run_key_value_grouper.py --input_path example_input.json --output_path output.json --group_by_keys "meta.language"
注意事项
- 支持嵌套键，使用点号分隔（如 "meta.language"）
- 支持多键分组，逗号分隔（如 "meta.lang,meta.topic"）
- 相同键值的样本会被合并为一组，合并后的字段值为数组