| --- |
| 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](https://huggingface.co/BidirLM/BidirLM-Omni-2.5B-Embedding) 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](https://huggingface.co/datasets/BidirLM/BidirLM-Omni-Contrastive)** |
| --- |
|
|
| ## 📜 Citation |
| If you use this processed dataset or the broader BidirLM mixture in your research, please cite our work: |
|
|
| ```bibtex |
| @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}, |
| } |
| ``` |
