---
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}
}
```