Datasets:
multi_re_qa

- {"SearchQA": {"description": "MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data", "citation": "@misc{m2020multireqa,\n title={MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models},\n author={Mandy Guo and Yinfei Yang and Daniel Cer and Qinlan Shen and Noah Constant},\n year={2020},\n eprint={2005.02507},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}", "homepage": "https://github.com/google-research-datasets/MultiReQA", "license": "", "features": {"candidate_id": {"dtype": "string", "id": null, "_type": "Value"}, "response_start": {"dtype": "int32", "id": null, "_type": "Value"}, "response_end": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "multi_re_qa", "config_name": "SearchQA", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 183902877, "num_examples": 3163801, "dataset_name": "multi_re_qa"}, "validation": {"name": "validation", "num_bytes": 26439174, "num_examples": 454836, "dataset_name": "multi_re_qa"}}, "download_checksums": {"https://github.com/google-research-datasets/MultiReQA/raw/master/data/train/SearchQA/candidates.json.gz": {"num_bytes": 32368716, "checksum": "adf6fe37aff7929b7be33fb105571b80db89adc3cee2093c8357b678c1b4c76c"}, "https://github.com/google-research-datasets/MultiReQA/raw/master/data/dev/SearchQA/candidates.json.gz": {"num_bytes": 4623243, "checksum": "00c361a17babd40b9144a570bbadacba37136b638f0a1f55c49fe58fca1606a9"}}, "download_size": 36991959, "post_processing_size": null, "dataset_size": 210342051, "size_in_bytes": 247334010}, "TriviaQA": {"description": "MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data", "citation": "@misc{m2020multireqa,\n title={MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models},\n author={Mandy Guo and Yinfei Yang and Daniel Cer and Qinlan Shen and Noah Constant},\n year={2020},\n eprint={2005.02507},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}", "homepage": "https://github.com/google-research-datasets/MultiReQA", "license": "", "features": {"candidate_id": {"dtype": "string", "id": null, "_type": "Value"}, "response_start": {"dtype": "int32", "id": null, "_type": "Value"}, "response_end": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "multi_re_qa", "config_name": "TriviaQA", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 107326326, "num_examples": 1893674, "dataset_name": "multi_re_qa"}, "validation": {"name": "validation", "num_bytes": 13508062, "num_examples": 238339, "dataset_name": "multi_re_qa"}}, "download_checksums": {"https://github.com/google-research-datasets/MultiReQA/raw/master/data/train/TriviaQA/candidates.json.gz": {"num_bytes": 19336595, "checksum": "ff43a7ec9243f4c5631ec50fa799f0dfbcf4dec2b4116da3aaacffe0b7fe22ee"}, "https://github.com/google-research-datasets/MultiReQA/raw/master/data/dev/TriviaQA/candidates.json.gz": {"num_bytes": 2413807, "checksum": "bf2f41e4f85fcdc163a6cb2ad7f1f711c185463ee701b4e29c9da5c19d5da641"}}, "download_size": 21750402, "post_processing_size": null, "dataset_size": 120834388, "size_in_bytes": 142584790}, "HotpotQA": {"description": "MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data", "citation": "@misc{m2020multireqa,\n title={MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models},\n author={Mandy Guo and Yinfei Yang and Daniel Cer and Qinlan Shen and Noah Constant},\n year={2020},\n eprint={2005.02507},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}", "homepage": "https://github.com/google-research-datasets/MultiReQA", "license": "", "features": {"candidate_id": {"dtype": "string", "id": null, "_type": "Value"}, "response_start": {"dtype": "int32", "id": null, "_type": "Value"}, "response_end": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "multi_re_qa", "config_name": "HotpotQA", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 29516866, "num_examples": 508879, "dataset_name": "multi_re_qa"}, "validation": {"name": "validation", "num_bytes": 3027229, "num_examples": 52191, "dataset_name": "multi_re_qa"}}, "download_checksums": {"https://github.com/google-research-datasets/MultiReQA/raw/master/data/train/HotpotQA/candidates.json.gz": {"num_bytes": 5760488, "checksum": "1e19145a13aea9101edaaa3e79f19518b9bf0b1539e1912f5a4bec8c406bcbbc"}, "https://github.com/google-research-datasets/MultiReQA/raw/master/data/dev/HotpotQA/candidates.json.gz": {"num_bytes": 582901, "checksum": "f359dde781dc7772d817c81d1f1c28fcdedb8858b4502a7bd7234d1da5e10395"}}, "download_size": 6343389, "post_processing_size": null, "dataset_size": 32544095, "size_in_bytes": 38887484}, "SQuAD": {"description": "MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data", "citation": "@misc{m2020multireqa,\n title={MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models},\n author={Mandy Guo and Yinfei Yang and Daniel Cer and Qinlan Shen and Noah Constant},\n year={2020},\n eprint={2005.02507},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}", "homepage": "https://github.com/google-research-datasets/MultiReQA", "license": "", "features": {"candidate_id": {"dtype": "string", "id": null, "_type": "Value"}, "response_start": {"dtype": "int32", "id": null, "_type": "Value"}, "response_end": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "multi_re_qa", "config_name": "SQuAD", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 16828974, "num_examples": 95659, "dataset_name": "multi_re_qa"}, "validation": {"name": "validation", "num_bytes": 2012997, "num_examples": 10642, "dataset_name": "multi_re_qa"}}, "download_checksums": {"https://github.com/google-research-datasets/MultiReQA/raw/master/data/train/SQuAD/candidates.json.gz": {"num_bytes": 2685384, "checksum": "efdcc6576283194be5ce8cb1cc51ffc15200e8b116479b4eda06b2e4b6b77bd0"}, "https://github.com/google-research-datasets/MultiReQA/raw/master/data/dev/SQuAD/candidates.json.gz": {"num_bytes": 318262, "checksum": "dc0fa9e536afa6969212cc5547dced39147ac93e007438464575ef4038dfd512"}}, "download_size": 3003646, "post_processing_size": null, "dataset_size": 18841971, "size_in_bytes": 21845617}, "NaturalQuestions": {"description": "MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data", "citation": "@misc{m2020multireqa,\n title={MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models},\n author={Mandy Guo and Yinfei Yang and Daniel Cer and Qinlan Shen and Noah Constant},\n year={2020},\n eprint={2005.02507},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}", "homepage": "https://github.com/google-research-datasets/MultiReQA", "license": "", "features": {"candidate_id": {"dtype": "string", "id": null, "_type": "Value"}, "response_start": {"dtype": "int32", "id": null, "_type": "Value"}, "response_end": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "multi_re_qa", "config_name": "NaturalQuestions", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 28732767, "num_examples": 448355, "dataset_name": "multi_re_qa"}, "validation": {"name": "validation", "num_bytes": 1418124, "num_examples": 22118, "dataset_name": "multi_re_qa"}}, "download_checksums": {"https://github.com/google-research-datasets/MultiReQA/raw/master/data/train/NaturalQuestions/candidates.json.gz": {"num_bytes": 5794887, "checksum": "dc39392d7a4995024a3d8fc127607e2cdea9081ed17c7c014bb5ffca220474da"}, "https://github.com/google-research-datasets/MultiReQA/raw/master/data/dev/NaturalQuestions/candidates.json.gz": {"num_bytes": 329600, "checksum": "4e9a422272d399206bc20438435fb60d4faddd4dc901db760d97b614cc082dd5"}}, "download_size": 6124487, "post_processing_size": null, "dataset_size": 30150891, "size_in_bytes": 36275378}, "BioASQ": {"description": "MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data", "citation": "@misc{m2020multireqa,\n title={MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models},\n author={Mandy Guo and Yinfei Yang and Daniel Cer and Qinlan Shen and Noah Constant},\n year={2020},\n eprint={2005.02507},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}", "homepage": "https://github.com/google-research-datasets/MultiReQA", "license": "", "features": {"candidate_id": {"dtype": "string", "id": null, "_type": "Value"}, "response_start": {"dtype": "int32", "id": null, "_type": "Value"}, "response_end": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "multi_re_qa", "config_name": "BioASQ", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 766190, "num_examples": 14158, "dataset_name": "multi_re_qa"}}, "download_checksums": {"https://github.com/google-research-datasets/MultiReQA/raw/master/data/test/BioASQ/candidates.json.gz": {"num_bytes": 156649, "checksum": "4312adbb038532564f4178018c32c22b46d5d2a0a896900b72bc6f4df3ec0d99"}}, "download_size": 156649, "post_processing_size": null, "dataset_size": 766190, "size_in_bytes": 922839}, "RelationExtraction": {"description": "MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data", "citation": "@misc{m2020multireqa,\n title={MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models},\n author={Mandy Guo and Yinfei Yang and Daniel Cer and Qinlan Shen and Noah Constant},\n year={2020},\n eprint={2005.02507},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}", "homepage": "https://github.com/google-research-datasets/MultiReQA", "license": "", "features": {"candidate_id": {"dtype": "string", "id": null, "_type": "Value"}, "response_start": {"dtype": "int32", "id": null, "_type": "Value"}, "response_end": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "multi_re_qa", "config_name": "RelationExtraction", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 217870, "num_examples": 3301, "dataset_name": "multi_re_qa"}}, "download_checksums": {"https://github.com/google-research-datasets/MultiReQA/raw/master/data/test/RelationExtraction/candidates.json.gz": {"num_bytes": 73019, "checksum": "23fcafe68a91367928a537e0220d2e52e9c5a662dd9976c102267640566b2f34"}}, "download_size": 73019, "post_processing_size": null, "dataset_size": 217870, "size_in_bytes": 290889}, "TextbookQA": {"description": "MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data", "citation": "@misc{m2020multireqa,\n title={MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models},\n author={Mandy Guo and Yinfei Yang and Daniel Cer and Qinlan Shen and Noah Constant},\n year={2020},\n eprint={2005.02507},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}", "homepage": "https://github.com/google-research-datasets/MultiReQA", "license": "", "features": {"candidate_id": {"dtype": "string", "id": null, "_type": "Value"}, "response_start": {"dtype": "int32", "id": null, "_type": "Value"}, "response_end": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "multi_re_qa", "config_name": "TextbookQA", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 4182675, "num_examples": 71147, "dataset_name": "multi_re_qa"}}, "download_checksums": {"https://github.com/google-research-datasets/MultiReQA/raw/master/data/test/TextbookQA/candidates.json.gz": {"num_bytes": 704602, "checksum": "ac7a7dbae67afcce708c7ba6867991d8410ab92a8884964ec077898672f97208"}}, "download_size": 704602, "post_processing_size": null, "dataset_size": 4182675, "size_in_bytes": 4887277}, "DuoRC": {"description": "MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data", "citation": "@misc{m2020multireqa,\n title={MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models},\n author={Mandy Guo and Yinfei Yang and Daniel Cer and Qinlan Shen and Noah Constant},\n year={2020},\n eprint={2005.02507},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}", "homepage": "https://github.com/google-research-datasets/MultiReQA", "license": "", "features": {"candidate_id": {"dtype": "string", "id": null, "_type": "Value"}, "response_start": {"dtype": "int32", "id": null, "_type": "Value"}, "response_end": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "multi_re_qa", "config_name": "DuoRC", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 1483518, "num_examples": 5525, "dataset_name": "multi_re_qa"}}, "download_checksums": {"https://github.com/google-research-datasets/MultiReQA/raw/master/data/test/DuoRC/candidates.json.gz": {"num_bytes": 97625, "checksum": "0ce13953cf96a2f9d2f9a0b0dee7249c98dc95690a00e34236059f59f5ebc674"}}, "download_size": 97625, "post_processing_size": null, "dataset_size": 1483518, "size_in_bytes": 1581143}}