SEACrowd is a community movement project aimed at centralizing and standardizing AI resources for Southeast Asian languages, cultures, and/or regions. This movement is co-initiated by SEA researchers and practitioners from various institutions.

See what SEA indigenous and non-indigenous languages we accept here.

Our first publication is out: "SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages"!

It is essential to greatly increase the accessibility of SEA datasets, promote research in SEA languages and cultures, as well as build more AI models that represent SEA.

We will start discussing our next directions by the end of June or early July 2024. Stay tuned via SEACrowd's Discord channel!

Check out our past projects.

Everyone can join and contribute to this initiative. Specifically, we have identified four tasks for contributions:

You can submit detailed metadata for existing datasets through this form. You will provide important information such as data license, size, language and dialect, annotation method, and so on. The approved datasheets as well as under review datasheets will show up and indexed in SEACrowd Catalogue (web/csv).

From the approved datasheets from the previous task, you can help us build HuggingFace’s dataset dataloader to ensure that all datasets in SEACrowd are standardized in terms of formatting. You can take a look at the dataloader guide and examples in SEACrowd Data Hub. We will also ping the taken dataloader issues after 2 weeks of inactivity in case there's any trouble.

Unfortunately, some prior AI research on SEA languages is still hidden behind closed data. Surprisingly, the reason is as simple as the authors not considering releasing the data as an option before!

In this task, you will search for prior research publications that did not make their data open and fill out this form. Our team will contact the reported work to negotiate the opening of their data with us.

If you have previous work with closed data (or have been contacted by us thanks to Task 3 😉), you can release your data and log it with us here. The data will still be owned by you and tied to your previous work, as we simply create a catalog of it.

For sure. You can message one of the initiators to learn about the details.

Join us in Discord or SEACrowd mailing list via Google Groups to keep in touch and be the first to know the updates!

Definitely. Please feel free to ask in #general on Discord or message one of the moderators so we can help you. 😉

If you are using any resources from SEACrowd, including datasheets, dataloaders, code, etc., please cite the following publication:

@article{lovenia2024seacrowd,
      title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, 
      author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
      year={2024},
      eprint={2406.10118},
      journal={arXiv preprint arXiv: 2406.10118}
}

Check out our paper!

Our first collaboration ran from 1 November 2023 to 15 June 2024 with a total of 86 contributors. We managed to consolidate 498 datasheets in SEACrowd Catalogue (web/csv) and standardize 399 dataloaders in SEACrowd Data Hub, covering 980 out of 1308 SEA languages.

Through our SEACrowd benchmarks, we assess the quality of AI models on 36 indigenous languages across 13 tasks, offering valuable insights into the current AI landscape in SEA. Furthermore, we propose strategies to facilitate greater AI advancements, maximizing potential utility and resource equity for the future of AI in SEA.

Find our experiment repository at SEACrowd/seacrowd-experiments.

Generally, anyone could contribute as much as they wanted and as little as they wanted! However, in order to reward contributors fairly, we came up with a contribution point system.

Contribution Point

Each confirmed contribution was rewarded with points. The details of the contribution point system were provided in SEACrowd Data Hub. A general rule of thumb is that the more complex the task was, the higher the number of points it would earn you.

For example, since our goal was to open access to as many NLP datasets as possible, releasing their own private data should earn them a substantial number of points, especially if the languages were rare and the data quality was superb.

Once their points reached 20, they would be rewarded with merchandise and co-authorship. For co-authorship, the number of their contribution points would determine their position in the authorship list in our publication.

The contribution point tracking for this past project is available at this sheet!