metadata
dataset_info:
features:
- name: file
dtype: string
- name: positive
dtype:
audio:
sampling_rate: 16000
- name: speaker_id
dtype: int64
- name: chapter_id
dtype: int64
- name: id
dtype: string
- name: anchor
dtype: string
splits:
- name: train
num_bytes: 23908784883.828
num_examples: 104014
- name: validation
num_bytes: 359846424.966
num_examples: 2703
download_size: 23560577435
dataset_size: 24268631308.794
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
pretty_name: BidirLM x Librispeech
⚠️ 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},
}