GreenNode/stsbenchmark-sts-vn
How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["STSBenchmark-VN"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL) evaluator.run(model) To learn more about how to run models on mteb task check out the GitHub repitory. Citation If you use this dataset, please cite the dataset as well as mteb, as this dataset likely includes additional processing as a… See the full description on the dataset page: https://huggingface.co/datasets/GreenNode/stsbenchmark-sts-vn.
| Author / organization | GreenNode |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 149 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 6 March 2025 |
| Last updated at source | 31 July 2025 |
Recent changes
- 16 Oct 2026 Description: How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["STSBenchmark-VN"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL) evaluator.run(m → How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["STSBenchmark-VN"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL) evaluator.run(m
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.