XL-Sum
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Abstractive Summarization | XL-Sum (test) | Language Democratization67.21 | 20 | |
| Summarization | XL-SUM Target language | SUM Score23.2 | 16 | |
| Summarization | XL-SUM en | SUM Score24.5 | 16 | |
| Abstractive Summarization | XL-Sum Ukrainian (test) | BLEU Score6.52 | 14 | |
| Summarization | XL-Sum Arabic (test) | ROUGE-L22.32 | 12 | |
| Summarization | XL-Sum | ROUGE-L20.93 | 12 | |
| Summarization | XL-Sum Chinese (test) | BERTScore-F133.62 | 7 | |
| Multilingual Summarization | XL-SUM ar | Token-level Language Confusion (%)0.37 | 5 | |
| Multilingual Summarization | XL-SUM hi | Token-level Language Confusion0.23 | 5 | |
| Multilingual Summarization | XL-SUM th | Token-level Language Confusion0.38 | 5 | |
| Multilingual Summarization | XL-SUM ko | Token-level Language Confusion3.45 | 5 | |
| Multilingual Summarization | XL-SUM fr | Token-level Language Confusion (%)11 | 5 | |
| Multilingual Summarization | XL-SUM ja | Token-level Language Confusion3.51 | 5 | |
| Multilingual Summarization | XL-SUM zh | Token-level Language Confusion (%)4.78 | 5 | |
| Multilingual Summarization | XL-SUM ru | Token-level Language Confusion0.28 | 5 | |
| Summarization | XL-Sum (test) | ROUGE-L13.9 | 5 | |
| Abstractive Text Summarization | XL-Sum English (test) | ROUGE-139.121 | 2 |
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