
# 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}
}
```
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"]}
TAGS
#task_categories-text-classification #task_ids-natural-language-inference #task_ids-multi-input-text-classification #size_categories-100K<n<1M #language-English #arxiv-2305.15077 #region-us 


# Dataset Card for Dataset Name

## Dataset Description

- Repository: URL
- Paper: Contrastive Learning of Sentence Embeddings from Scratch


### 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 and code

### Supported Tasks and Leaderboards

Natural Language Inference

Contrastive Learning of Sentence Embeddings

### Languages

English

## Dataset Structure

### Data Instances


### 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




# Dataset Card for Dataset Name ## Dataset Description

- Repository: URL
- Paper: Contrastive Learning of Sentence Embeddings from Scratch ### 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 and code ### Supported Tasks and Leaderboards

Natural Language Inference

Contrastive Learning of Sentence Embeddings ### Languages

English ## Dataset Structure ### Data Instances ### 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
TAGS
#task_categories-text-classification #task_ids-natural-language-inference #task_ids-multi-input-text-classification #size_categories-100K<n<1M #language-English #arxiv-2305.15077 #region-us 
 # Dataset Card for Dataset Name ## Dataset Description

- Repository: URL
- Paper: Contrastive Learning of Sentence Embeddings from Scratch ### 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 and code ### Supported Tasks and Leaderboards

Natural Language Inference

Contrastive Learning of Sentence Embeddings ### Languages

English ## Dataset Structure ### Data Instances ### 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