avsolatorio/covid-bing-query-gpt4-avs_triplets

---
dataset_info:
features:
- name: search
dtype: string
- name: query
dtype: string
- name: pos
dtype: string
- name: idx
dtype: int64
- name: query_idx
dtype: int64
- name: positive_idx
dtype: int64
- name: negative_idx
dtype: int64
- name: cos_sim_pos
dtype: float64
- name: cos_sim_neg
dtype: float64
splits:
- name: train
num_bytes: 1523730
num_examples: 4973
download_size: 838890
dataset_size: 1523730
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

# COVq dataset

This dataset was used in the paper GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning. Refer to https://arxiv.org/abs/2402.16829 for details.

The code for generating the data is available at https://github.com/avsolatorio/GISTEmbed.

## Citation
```
@article{solatorio2024gistembed,
title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning},
author={Aivin V. Solatorio},
journal={arXiv preprint arXiv:2402.16829},
year={2024},
URL={https://arxiv.org/abs/2402.16829}
eprint={2402.16829},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
```

原始信息汇总

COVq 数据集

数据集信息

特征

• search: 字符串
• query: 字符串
• pos: 字符串
• idx: 整数 (int64)
• query_idx: 整数 (int64)
• positive_idx: 整数 (int64)
• negative_idx: 整数 (int64)
• cos_sim_pos: 浮点数 (float64)
• cos_sim_neg: 浮点数 (float64)

数据分割

• train:
  • 字节数: 1523730
  • 样本数: 4973

数据大小

• 下载大小: 838890 字节
• 数据集大小: 1523730 字节

配置

• default:
  • 数据文件:
    • 分割: train
    • 路径: data/train-*