diff --git "a/dataset_infos.json" "b/dataset_infos.json" deleted file mode 100644--- "a/dataset_infos.json" +++ /dev/null @@ -1,2178 +0,0 @@ -{ - "X-CSQA-en": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-en", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 215617, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 205079, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 222677, - "dataset_size": 420696, - "size_in_bytes": 643373 - }, - "X-CSQA-zh": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-zh", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 197444, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 188273, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 207379, - "dataset_size": 385717, - "size_in_bytes": 593096 - }, - "X-CSQA-de": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-de", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 234170, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 222840, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 242762, - "dataset_size": 457010, - "size_in_bytes": 699772 - }, - "X-CSQA-es": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-es", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 236817, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 224497, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 238810, - "dataset_size": 461314, - "size_in_bytes": 700124 - }, - "X-CSQA-fr": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-fr", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 243952, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 231396, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 244676, - "dataset_size": 475348, - "size_in_bytes": 720024 - }, - "X-CSQA-it": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-it", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 232604, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 220902, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 236130, - "dataset_size": 453506, - "size_in_bytes": 689636 - }, - "X-CSQA-jap": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-jap", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 250846, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 240404, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 249420, - "dataset_size": 491250, - "size_in_bytes": 740670 - }, - "X-CSQA-nl": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-nl", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 226949, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 216194, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 231078, - "dataset_size": 443143, - "size_in_bytes": 674221 - }, - "X-CSQA-pl": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-pl", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 231479, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 219814, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 245829, - "dataset_size": 451293, - "size_in_bytes": 697122 - }, - "X-CSQA-pt": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-pt", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 235469, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 222785, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 238902, - "dataset_size": 458254, - "size_in_bytes": 697156 - }, - "X-CSQA-ru": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-ru", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 341749, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 323724, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 296252, - "dataset_size": 665473, - "size_in_bytes": 961725 - }, - "X-CSQA-ar": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-ar", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 288645, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 273580, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 255626, - "dataset_size": 562225, - "size_in_bytes": 817851 - }, - "X-CSQA-vi": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-vi", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 265210, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 253502, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 244641, - "dataset_size": 518712, - "size_in_bytes": 763353 - }, - "X-CSQA-hi": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-hi", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 415011, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 396318, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 304090, - "dataset_size": 811329, - "size_in_bytes": 1115419 - }, - "X-CSQA-sw": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-sw", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 222215, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 211426, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 214954, - "dataset_size": 433641, - "size_in_bytes": 648595 - }, - "X-CSQA-ur": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CSQA-ur", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 306129, - "num_examples": 1074, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 292001, - "num_examples": 1000, - "dataset_name": null - } - }, - "download_size": 267789, - "dataset_size": 598130, - "size_in_bytes": 865919 - }, - "X-CODAH-en": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-en", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 417000, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 121811, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 217262, - "dataset_size": 538811, - "size_in_bytes": 756073 - }, - "X-CODAH-zh": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-zh", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 394660, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 115025, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 237827, - "dataset_size": 509685, - "size_in_bytes": 747512 - }, - "X-CODAH-de": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-de", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 476087, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 138764, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 259705, - "dataset_size": 614851, - "size_in_bytes": 874556 - }, - "X-CODAH-es": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-es", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 450954, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 130678, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 242647, - "dataset_size": 581632, - "size_in_bytes": 824279 - }, - "X-CODAH-fr": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-fr", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 477525, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 137889, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 244998, - "dataset_size": 615414, - "size_in_bytes": 860412 - }, - "X-CODAH-it": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-it", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 457055, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 133504, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 241780, - "dataset_size": 590559, - "size_in_bytes": 832339 - }, - "X-CODAH-jap": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-jap", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 538415, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 157392, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 264995, - "dataset_size": 695807, - "size_in_bytes": 960802 - }, - "X-CODAH-nl": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-nl", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 448728, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 130018, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 237855, - "dataset_size": 578746, - "size_in_bytes": 816601 - }, - "X-CODAH-pl": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-pl", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 438538, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 127750, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 254894, - "dataset_size": 566288, - "size_in_bytes": 821182 - }, - "X-CODAH-pt": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-pt", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 455583, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 131933, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 238858, - "dataset_size": 587516, - "size_in_bytes": 826374 - }, - "X-CODAH-ru": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-ru", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 674567, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 193713, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 314200, - "dataset_size": 868280, - "size_in_bytes": 1182480 - }, - "X-CODAH-ar": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-ar", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 568026, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 165022, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 265474, - "dataset_size": 733048, - "size_in_bytes": 998522 - }, - "X-CODAH-vi": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-vi", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 543089, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 156888, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 251390, - "dataset_size": 699977, - "size_in_bytes": 951367 - }, - "X-CODAH-hi": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-hi", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 973733, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 283004, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 336862, - "dataset_size": 1256737, - "size_in_bytes": 1593599 - }, - "X-CODAH-sw": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-sw", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 423421, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 124770, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 214100, - "dataset_size": 548191, - "size_in_bytes": 762291 - }, - "X-CODAH-ur": { - "description": "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 studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", - "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n author = \"Lin, Bill Yuchen and\n Lee, Seyeon and\n Qiao, Xiaoyang and\n Ren, Xiang\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.102\",\n doi = \"10.18653/v1/2021.acl-long.102\",\n pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n address = {Minneapolis, Minnesota},\n author = {Talmor, Alon and Herzig, Jonathan and Lourie, Nicholas and Berant, Jonathan},\n booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n doi = {10.18653/v1/N19-1421},\n pages = {4149--4158},\n publisher = {Association for Computational Linguistics},\n title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n url = {https://www.aclweb.org/anthology/N19-1421},\n year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n address = {Minneapolis, USA},\n author = {Chen, Michael and D{'}Arcy, Mike and Liu, Alisa and Fernandez, Jared and Downey, Doug},\n booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n doi = {10.18653/v1/W19-2008},\n pages = {63--69},\n publisher = {Association for Computational Linguistics},\n title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n url = {https://www.aclweb.org/anthology/W19-2008},\n year = {2019}\n}\n", - "homepage": "https://inklab.usc.edu//XCSR/", - "license": "", - "features": { - "id": { - "dtype": "string", - "_type": "Value" - }, - "lang": { - "dtype": "string", - "_type": "Value" - }, - "question_tag": { - "dtype": "string", - "_type": "Value" - }, - "question": { - "stem": { - "dtype": "string", - "_type": "Value" - }, - "choices": { - "feature": { - "label": { - "dtype": "string", - "_type": "Value" - }, - "text": { - "dtype": "string", - "_type": "Value" - } - }, - "_type": "Sequence" - } - }, - "answerKey": { - "dtype": "string", - "_type": "Value" - } - }, - "builder_name": "xcsr", - "dataset_name": "xcsr", - "config_name": "X-CODAH-ur", - "version": { - "version_str": "1.1.0", - "description": "", - "major": 1, - "minor": 1, - "patch": 0 - }, - "splits": { - "test": { - "name": "test", - "num_bytes": 687123, - "num_examples": 1000, - "dataset_name": null - }, - "validation": { - "name": "validation", - "num_bytes": 199737, - "num_examples": 300, - "dataset_name": null - } - }, - "download_size": 294475, - "dataset_size": 886860, - "size_in_bytes": 1181335 - } -} \ No newline at end of file