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---
dataset_info:
features:
- name: query
dtype: string
- name: pos
dtype: string
- name: neg
dtype: string
- name: task_name
dtype: string
- name: query_instruct
dtype: string
- name: pos_instruct
dtype: string
- name: neg_instruct
dtype: string
- name: symmetric
dtype: bool
splits:
- name: train
num_bytes: 2876373524
num_examples: 1821458
download_size: 1426469518
dataset_size: 2876373524
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# MEDI+MTEBcls 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}
}
``` |