task_categories:text-classification task_ids:natural-language-inference task_ids:multi-input-text-classification size_categories:100K<n<1M language:en arxiv:2305.15077 region:us
---
language:
- en
size_categories:
- 100K<n<1M
task_categories:
  - text-classification
task_ids:
  - natural-language-inference
  - multi-input-text-classification

---

# Dataset Card for Dataset Name

## Dataset Description

- **Repository:** [https://github.com/SJTU-LIT/SynCSE/](https://github.com/SJTU-LIT/SynCSE/)
- **Paper:** [Contrastive Learning of Sentence Embeddings from Scratch](https://arxiv.org/abs/2305.15077)


### Dataset Summary

The SynCSE-scratch-NLI is a Natural Language Inference dataset generated by GPT-3.5-Turbo. You can use it to learn better sentence representation with contrastive learning. More details can be found in [paper](https://arxiv.org/abs/2305.15077) and [code](https://github.com/SJTU-LIT/SynCSE/)

### Supported Tasks and Leaderboards

Natural Language Inference

Contrastive Learning of Sentence Embeddings

### Languages

English

## Dataset Structure

### Data Instances

[More Information Needed]
### Data Fields



### Data Splits

We only provide the training set. Specifically, you can use this dataset to train of model with contrastive learning and evalaute your model on a variey of downstream sentence embedding tasks.


## Dataset Creation

GPT-3.5-turbo

### Curation Rationale

[More Information Needed]

# Citation
```
@article{zhang2023contrastive,
  title={Contrastive Learning of Sentence Embeddings from Scratch},
  author={Zhang, Junlei and Lan, Zhenzhong and He, Junxian},
  journal={arXiv preprint arXiv:2305.15077},
  year={2023}
}
```