SeaLLMs/SeaExam
Check the ๐ leaderboard constructed with this dataset and the corresponding ๐จ๐ปโ๐ป evaluation code. SeaExam dataset The SeaExam dataset aims to evaluate Large Language Models (LLMs) on a diverse set of Southeast Asian (SEA) languages including English, Chinese, Indonesian, Thai, and Vietnamese. Our goal is to ensure a fair and consistent comparison across different LLMs on those languages while mitigating the risk of data contamination. It consists of the following twoโฆ See the full description on the dataset page: https://huggingface.co/datasets/SeaLLMs/SeaExam.
| Author / organization | SeaLLMs |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 454 (as reported by Hugging Face) |
| Likes | 11 |
| Created | 18 April 2024 |
| Last updated at source | 31 May 2024 |
Popularity, last 3 days
454 now (+14 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Check the ๐ leaderboard constructed with this dataset and the corresponding ๐จ๐ปโ๐ป evaluation code. SeaExam dataset The SeaExam dataset aims to evaluate Large Language Models (LLMs) on a diverse set of Southeast Asian (SEA) languages incl โ Check the ๐ leaderboard constructed with this dataset and the corresponding ๐จ๐ปโ๐ป evaluation code. SeaExam dataset The SeaExam dataset aims to evaluate Large Language Models (LLMs) on a diverse set of Southeast Asian (SEA) languages incl
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.