XQuAD
Introduced by Artetxe et al. in On the Cross-lingual Transferability of Monolingual Representations
XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set of SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German, Greek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, and Hindi. Consequently, the dataset is entirely parallel across 11 languages.
Source: XQuADBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
XQuAD
|
ByT5 XXL
|
|||
|
XQuAD (de)
|
tilomichel/mT5-base-GermanQuAD-e2e-qg
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
