McGill-NLP/SSA-MTE
We introduce SSA-MTE, a large-scale human-annotated MT evaluation (MTE) dataset. Link to the paper: SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages? https://arxiv.org/abs/2506.04557 The quality of data for each language is discussed in the paper. The data for 4 languages did not pass the quality check, and we are working on further filtering of them to enhance the final quality. (Swahili, Sesotho, Igbo, Zulu). Coming soon. For Swahili, we… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/SSA-MTE.
| Author / organization | McGill-NLP |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 360 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 22 July 2025 |
| Last updated at source | 12 October 2025 |
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