metadata

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
  - sentence-transformers

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:

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