INK-USC/xcsr
Dataset Card for X-CSR Dataset Summary To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for… See the full description on the dataset page: https://huggingface.co/datasets/INK-USC/xcsr.
| Author / organization | INK-USC |
|---|---|
| License (as declared) | mit |
| Downloads | 2.7K (as reported by Hugging Face) |
| Likes | 8 |
| Created | 2 March 2022 |
| Last updated at source | 4 January 2024 |
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- 16 Oct 2026 Description: Dataset Card for X-CSR Dataset Summary To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two → Dataset Card for X-CSR Dataset Summary To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two
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