fredxlpy/ParaLux
Dataset Card for ParaLux Benchmark Dataset Summary ParaLux is a Luxembourgish paraphrase detection benchmark that requires models to identify the correct paraphrase from two candidates for a given anchor sentence: one representing a valid paraphrase and the other an adversarial not_paraphrase. The dataset, consisting of 312 examples, is sourced from news articles published by RTL.lu and was introduced in LuxEmbedder: A Cross-Lingual Approach to Enhanced… See the full description on the dataset page: https://huggingface.co/datasets/fredxlpy/ParaLux.
| Author / organization | fredxlpy |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 251 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 4 December 2024 |
| Last updated at source | 5 December 2024 |
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251 now (+15 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Card for ParaLux Benchmark Dataset Summary ParaLux is a Luxembourgish paraphrase detection benchmark that requires models to identify the correct paraphrase from two candidates for a given anchor sentence: one representing a valid p → Dataset Card for ParaLux Benchmark Dataset Summary ParaLux is a Luxembourgish paraphrase detection benchmark that requires models to identify the correct paraphrase from two candidates for a given anchor sentence: one representing a valid p
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