MichaelR207/MultiSimV2
Dataset Card for MultiSim Benchmark Dataset Summary The MultiSim benchmark is a growing collection of text simplification datasets targeted at sentence simplification in several languages. Currently, the benchmark spans 12 languages. Supported Tasks Sentence Simplification Usage from datasets import load_dataset dataset = load_dataset("MichaelR207/MultiSimV2") Citation If you use this benchmark, please cite our… See the full description on the dataset page: https://huggingface.co/datasets/MichaelR207/MultiSimV2.
| Author / organization | MichaelR207 |
|---|---|
| License (as declared) | mit |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 5 |
| Created | 1 October 2024 |
| Last updated at source | 23 October 2024 |
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- 16 Oct 2026 Description: Dataset Card for MultiSim Benchmark Dataset Summary The MultiSim benchmark is a growing collection of text simplification datasets targeted at sentence simplification in several languages. Currently, the benchmark spans 12 languages. Suppor → Dataset Card for MultiSim Benchmark Dataset Summary The MultiSim benchmark is a growing collection of text simplification datasets targeted at sentence simplification in several languages. Currently, the benchmark spans 12 languages. Suppor
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