Datasets:

BidirLM
/

mscoco_contrastive

dataset_info:
  features:
    - name: positive
      dtype: image
    - name: anchor
      dtype: string
  splits:
    - name: train
      num_bytes: 20055765265
      num_examples: 122787
    - name: test
      num_bytes: 80746055
      num_examples: 500
  download_size: 20096279924
  dataset_size: 20136511320
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
pretty_name: BidirLM x MSCOCO

⚠️ Part of the BidirLM-Omni Collection > This dataset is a specific modality sub-sample of the corpus used to train the BidirLM-Omni models.

Looking for the full training mixture? > If you want to access the complete, balanced 1.8M sample omnimodal dataset (integrating text, image, audio), please visit the global integration hub here:
👉 BidirLM/BidirLM-Omni-Contrastive

📜 Citation

If you use this processed dataset or the broader BidirLM mixture in your research, please cite our work:

@misc{boizard2026bidirlmtextomnimodalbidirectional,
      title={BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs}, 
      author={Nicolas Boizard and Théo Deschamps-Berger and Hippolyte Gisserot-Boukhlef and Céline Hudelot and Pierre Colombo},
      year={2026},
      eprint={2604.02045},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2604.02045}, 
}