Update README.md

README.md

@@ -26,42 +26,21 @@ It is essential to greatly increase the accessibility of SEA datasets, promote r
 
 We will start discussing our next directions by the end of June 2024. Stay tuned via [SEACrowd's Discord channel](https://discord.gg/XXRHFuvkTA)!
 
-Check out our [past projects](#past-projects).
+Check out our [past projects](https://github.com/SEACrowd#past-projects).
 
-## Contributing to SEACrowd
+## Important URLs
 
-Everyone can join and contribute to this initiative. Specifically, we have identified four tasks for contributions:
-
-### 🗃️ Task 1: Submitting Metadata for Existing Public Datasets
-
-You can submit detailed metadata for existing datasets through [this form](https://form.jotform.com/team/232952680898069/seacrowd-sea-datasets). 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](https://seacrowd.github.io/seacrowd-catalogue/)/[csv](https://docs.google.com/spreadsheets/d/1ibbywsC1tQ_sLPX8bUAjC-vrTrUqZgZA46W_sxWw4Ss/edit?usp=sharing)).
-
-### 🖥️ Task 2: Building DataLoader
-
-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](https://github.com/SEACrowd/seacrowd-datahub/blob/master/DATALOADER.md) and [examples](https://github.com/SEACrowd/seacrowd-datahub/tree/master/seacrowd/sea_datasets) in [SEACrowd Data Hub](https://github.com/SEACrowd/seacrowd-datahub). We will also ping the taken dataloader issues after 2 weeks of inactivity in case there's any trouble.
-
-### 🔍 Task 3: Identifying Private AI Datasets of SEA Languages, Cultures, and/or Regions
-
-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](https://form.jotform.com/team/232952680898069/seacrowd-paper-with-private-dataset). Our team will contact the reported work to negotiate the opening of their data with us.
-
-### 🔓 Task 4: Opening Your Private AI Dataset of SEA
-
-If you have previous work with closed data (or have been contacted by us thanks to Task 3 :wink:), you can release your data and log it with us [here](https://form.jotform.com/team/232952680898069/seacrowd-sea-datasets). The data will still be owned by you and tied to your previous work, as we simply create a catalog of it.
-
-## Is there any other way to help?
-
-For sure. You can message one of the initiators to learn about the details.
+- [HuggingFace Collection](https://huggingface.co/collections/SEACrowd/seacrowd-a-multilingual-multimodal-data-hub-and-benchmark-s-667127ad938266072cdc46be)
+- [Paper](https://arxiv.org/pdf/2406.10118)
+- [Github and Landing Page](https://github.com/SEACrowd)
+- [SEACrowd Catalogue](https://seacrowd.github.io/seacrowd-catalogue/)
+- [SEACrowd Data Hub](https://github.com/SEACrowd/seacrowd-datahub/)
+- [SEACrowd Experiments](https://github.com/SEACrowd/seacrowd-experiments)
 
 ## Communication Channels
 
 Join us in [Discord](https://discord.gg/XXRHFuvkTA) or [SEACrowd mailing list via Google Groups](https://groups.google.com/u/0/g/seacrowd) to keep in touch and be the first to know the updates!
 
-## I'm still confused. Could you please help me?
-
-Definitely. Please feel free to ask in `#general` on Discord or message one of the initiators so we can help you. :wink:
-
 ## Citation
 
 If you are using any resources from SEACrowd, including datasheets, dataloaders, code, etc., please cite [the following publication](https://arxiv.org/pdf/2406.10118):
@@ -76,34 +55,6 @@ If you are using any resources from SEACrowd, including datasheets, dataloaders,
 }
 ```
 
-## Past Projects
-
-### SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages
-
-> Check out [our paper](https://arxiv.org/pdf/2406.10118)!
-
-Our first collaboration ran from 1 November 2023 to 15 June 2024 with a total of [86 contributors](https://docs.google.com/spreadsheets/d/e/2PACX-1vQDZtJjA6i7JsxS5IlMtVuwOYjr2Pbl_b47yMSH4aAdHDBIpf-CiJQjNQAzcJPEu_aE7kwH4ZvKvPm0/pubhtml?gid=225616890&single=true). We managed to consolidate 498 datasheets in SEACrowd Catalogue ([web](https://seacrowd.github.io/seacrowd-catalogue/)/[csv](https://docs.google.com/spreadsheets/d/1ibbywsC1tQ_sLPX8bUAjC-vrTrUqZgZA46W_sxWw4Ss/edit?usp=sharing)) and standardize 399 dataloaders in [SEACrowd Data Hub](https://github.com/SEACrowd/seacrowd-datahub/), 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`](https://github.com/SEACrowd/seacrowd-experiments).
-
-#### Timeline
-
-<img width="750" alt="Timeline" src="https://github.com/SEACrowd/.github/blob/main/profile/assets/seacrowd-timeline.png?raw=true">
-
-#### How did they become contributors?
-
-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](https://github.com/SEACrowd/seacrowd-datahub/blob/master/POINTS.md). 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](https://docs.google.com/spreadsheets/d/e/2PACX-1vQDZtJjA6i7JsxS5IlMtVuwOYjr2Pbl_b47yMSH4aAdHDBIpf-CiJQjNQAzcJPEu_aE7kwH4ZvKvPm0/pubhtml?gid=225616890&single=true)!
+## More Details
 
-<img width="750" alt="Contribution Progress" src="https://github.com/SEACrowd/.github/blob/main/profile/assets/seacrowd-contribution-progress.png?raw=true">
+Check out our [landing page](https://github.com/SEACrowd)!