|
--- |
|
dataset_info: |
|
features: |
|
- name: id |
|
dtype: int32 |
|
- name: image |
|
dtype: image |
|
- name: text |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 14163253282.534 |
|
num_examples: 102523 |
|
download_size: 14656985259 |
|
dataset_size: 14163253282.534 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
--- |
|
|
|
# Cite |
|
|
|
``` |
|
@misc{doan2024vintern1befficientmultimodallarge, |
|
title={Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese}, |
|
author={Khang T. Doan and Bao G. Huynh and Dung T. Hoang and Thuc D. Pham and Nhat H. Pham and Quan T. M. Nguyen and Bang Q. Vo and Suong N. Hoang}, |
|
year={2024}, |
|
eprint={2408.12480}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.LG}, |
|
url={https://arxiv.org/abs/2408.12480}, |
|
} |
|
``` |
|
|
