dataset_info:
features:
- name: id
dtype: string
- name: image
dtype: image
- name: caption
sequence: string
- name: img_url
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 109118946634.129
num_examples: 1273229
download_size: 108981536155
dataset_size: 109118946634.129
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
SEA-VL: A Multicultural Vision-Language Dataset for Southeast Asia
Dataset: SEA-VL Collection on HuggingFace
Code: SEA-VL Experiemnt | SEA-VL Image Collection
What is SEA-VL?
Following the success of our SEACrowd project, we’re excited to announce SEA-VL, a new open-source initiative to create high-quality vision-language datasets specifically for Southeast Asian (SEA) languages! We’re calling on contributors to help us build a SEA-specific vision-language model.
SEA-VL is a big initiative, so we have decided to split it into two phases. In Phase 1 of SEA-VL, we’re looking for self-taken, culturally-relevant images with descriptions about the shared image. This will be cleaned and compiled into a comprehensive open-access SEA-relevant image dataset. To further extend the size of the culturally-relevant images, we also conduct SEA-relevant image dataset collection by developing a robust pipeline for crawling, filtering, and deduplication. This dataset will serve as the foundation for Phase 2, where we’ll develop instruction-tuning VL datasets and build a SEA-specific vision language model (VLM) using the constructed dataset.
The Phase 1 of SEA-VL has been concluded in early 2025. From this initiative, we release SEA-VL collection which covers SEA-VL Crowdsourcing Dataset (8k samples) and SEA-VL Crawling Dataset (1.2M samples).
If you are interested in joining our initiative, please consider joining our Discord Server and join our regular town hall meeting (More info in Discord)!
Citing SEA-VL
TODO