README.md

---
language:
- en
license: mit
size_categories:
- 10K<n<100K
task_categories:
- sentence-similarity
dataset_info:
- config_name: default
  features:
  - name: text1
    dtype: string
  - name: text2
    dtype: string
  - name: label
    dtype: int64
  splits:
  - name: train
    num_bytes: 181474610
    num_examples: 18565
  - name: valid
    num_bytes: 14656141
    num_examples: 1547
  - name: test
    num_bytes: 13135402
    num_examples: 1548
  download_size: 58129604
  dataset_size: 209266153
- config_name: positive
  features:
  - name: anchor
    dtype: string
  - name: positive
    dtype: string
  splits:
  - name: train
    num_bytes: 79405713
    num_examples: 9457
  - name: valid
    num_bytes: 6160932
    num_examples: 774
  - name: test
    num_bytes: 5782206
    num_examples: 807
  download_size: 25212890
  dataset_size: 91348851
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: valid
    path: data/valid-*
  - split: test
    path: data/test-*
- config_name: positive
  data_files:
  - split: train
    path: positive/train-*
  - split: valid
    path: positive/valid-*
  - split: test
    path: positive/test-*
tags:
- code
---

# GIS: Github Issue Similarity Dataset

This dataset was released from the paper: https://arxiv.org/abs/2309.12871

# Citation

If you use our dataset in your research, welcome to cite us as follows:

```bibtex
@article{li2023angle,
  title={AnglE-optimized Text Embeddings},
  author={Li, Xianming and Li, Jing},
  journal={arXiv preprint arXiv:2309.12871},
  year={2023}
}
```