sentence-compression

# Dataset Card for Sentence Compression

This dataset is a collection of text-simplified pairs from the Sentence Compression project. See [Sentence Compression](https://github.com/google-research-datasets/sentence-compression) for additional information.
This dataset can be used directly with Sentence Transformers to train embedding models.

## Dataset Subsets

### `pair` subset

* Columns: "text", "simplified"
* Column types: `str`, `str`
* Examples:
```python
{
'text': "The USHL completed an expansion draft on Monday as 10 players who were on the rosters of USHL teams during the 2009-10 season were selected by the League's two newest entries, the Muskegon Lumberjacks and Dubuque Fighting Saints.",
'simplified': 'USHL completes expansion draft',
}
```
* Collection strategy: Reading the Sentence Compression dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data).
* Deduplified: No

# 句子压缩（Sentence Compression）数据集卡片
本数据集系句子压缩项目构建的文本简化配对集合，更多详细信息可参阅[句子压缩（Sentence Compression）](https://github.com/google-research-datasets/sentence-compression)项目页面。本数据集可直接配合句子变换器（Sentence Transformers）用于嵌入模型的训练。

## 数据集子集

### `pair` 子集
* 列名："text"、"simplified"
* 列数据类型：字符串（str）、字符串（str）
* 示例：
python
{
'text': "美国曲棍球联盟（USHL）于周一完成扩军选秀，联盟两支新球队马斯基根伐木工队与迪比克战神队选中了10名曾在2009-10赛季效力于USHL各队阵容的球员。",
'simplified': 'USHL完成扩军选秀',
}

* 数据收集策略：从[嵌入训练数据（embedding-training-data）](https://huggingface.co/datasets/sentence-transformers/embedding-training-data)中读取句子压缩数据集
* 去重情况：未执行去重操作