README.md

metadata

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}
}