Datasets:
Tasks:
Sentence Similarity
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
File size: 1,608 Bytes
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---
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:
```bibtex
@article{li2023angle,
title={AnglE-optimized Text Embeddings},
author={Li, Xianming and Li, Jing},
journal={arXiv preprint arXiv:2309.12871},
year={2023}
}
``` |