{"xquad.ar": {"description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n", "citation": "@article{Artetxe:etal:2019,\n      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},\n      title     = {On the cross-lingual transferability of monolingual representations},\n      journal   = {CoRR},\n      volume    = {abs/1910.11856},\n      year      = {2019},\n      archivePrefix = {arXiv},\n      eprint    = {1910.11856}\n}\n", "homepage": "https://github.com/deepmind/xquad", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "xquad", "config_name": "xquad.ar", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 1722799, "num_examples": 1190, "dataset_name": "xquad"}}, "download_checksums": {"https://github.com/deepmind/xquad/raw/master/xquad.ar.json": {"num_bytes": 1582988, "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"}, "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {"num_bytes": 669810, "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"}, "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {"num_bytes": 808652, "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"}, "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {"num_bytes": 911401, "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"}, "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {"num_bytes": 609383, "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"}, "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {"num_bytes": 684322, "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"}, "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {"num_bytes": 1680538, "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"}, "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {"num_bytes": 1918889, "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"}, "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {"num_bytes": 1809143, "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"}, "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {"num_bytes": 729506, "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"}, "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {"num_bytes": 1896368, "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"}, "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {"num_bytes": 661158, "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"}}, "download_size": 13962158, "post_processing_size": null, "dataset_size": 1722799, "size_in_bytes": 15684957}, "xquad.de": {"description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n", "citation": "@article{Artetxe:etal:2019,\n      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},\n      title     = {On the cross-lingual transferability of monolingual representations},\n      journal   = {CoRR},\n      volume    = {abs/1910.11856},\n      year      = {2019},\n      archivePrefix = {arXiv},\n      eprint    = {1910.11856}\n}\n", "homepage": "https://github.com/deepmind/xquad", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "xquad", "config_name": "xquad.de", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 1283301, "num_examples": 1190, "dataset_name": "xquad"}}, "download_checksums": {"https://github.com/deepmind/xquad/raw/master/xquad.ar.json": {"num_bytes": 1582988, "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"}, "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {"num_bytes": 669810, "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"}, "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {"num_bytes": 808652, "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"}, "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {"num_bytes": 911401, "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"}, "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {"num_bytes": 609383, "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"}, "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {"num_bytes": 684322, "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"}, "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {"num_bytes": 1680538, "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"}, "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {"num_bytes": 1918889, "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"}, "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {"num_bytes": 1809143, "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"}, "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {"num_bytes": 729506, "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"}, "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {"num_bytes": 1896368, "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"}, "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {"num_bytes": 661158, "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"}}, "download_size": 13962158, "post_processing_size": null, "dataset_size": 1283301, "size_in_bytes": 15245459}, "xquad.zh": {"description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n", "citation": "@article{Artetxe:etal:2019,\n      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},\n      title     = {On the cross-lingual transferability of monolingual representations},\n      journal   = {CoRR},\n      volume    = {abs/1910.11856},\n      year      = {2019},\n      archivePrefix = {arXiv},\n      eprint    = {1910.11856}\n}\n", "homepage": "https://github.com/deepmind/xquad", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "xquad", "config_name": "xquad.zh", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 984241, "num_examples": 1190, "dataset_name": "xquad"}}, "download_checksums": {"https://github.com/deepmind/xquad/raw/master/xquad.ar.json": {"num_bytes": 1582988, "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"}, "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {"num_bytes": 669810, "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"}, "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {"num_bytes": 808652, "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"}, "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {"num_bytes": 911401, "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"}, "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {"num_bytes": 609383, "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"}, "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {"num_bytes": 684322, "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"}, "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {"num_bytes": 1680538, "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"}, "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {"num_bytes": 1918889, "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"}, "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {"num_bytes": 1809143, "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"}, "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {"num_bytes": 729506, "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"}, "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {"num_bytes": 1896368, "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"}, "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {"num_bytes": 661158, "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"}}, "download_size": 13962158, "post_processing_size": null, "dataset_size": 984241, "size_in_bytes": 14946399}, "xquad.vi": {"description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n", "citation": "@article{Artetxe:etal:2019,\n      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},\n      title     = {On the cross-lingual transferability of monolingual representations},\n      journal   = {CoRR},\n      volume    = {abs/1910.11856},\n      year      = {2019},\n      archivePrefix = {arXiv},\n      eprint    = {1910.11856}\n}\n", "homepage": "https://github.com/deepmind/xquad", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "xquad", "config_name": "xquad.vi", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 1477239, "num_examples": 1190, "dataset_name": "xquad"}}, "download_checksums": {"https://github.com/deepmind/xquad/raw/master/xquad.ar.json": {"num_bytes": 1582988, "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"}, "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {"num_bytes": 669810, "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"}, "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {"num_bytes": 808652, "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"}, "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {"num_bytes": 911401, "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"}, "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {"num_bytes": 609383, "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"}, "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {"num_bytes": 684322, "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"}, "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {"num_bytes": 1680538, "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"}, "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {"num_bytes": 1918889, "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"}, "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {"num_bytes": 1809143, "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"}, "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {"num_bytes": 729506, "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"}, "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {"num_bytes": 1896368, "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"}, "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {"num_bytes": 661158, "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"}}, "download_size": 13962158, "post_processing_size": null, "dataset_size": 1477239, "size_in_bytes": 15439397}, "xquad.en": {"description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n", "citation": "@article{Artetxe:etal:2019,\n      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},\n      title     = {On the cross-lingual transferability of monolingual representations},\n      journal   = {CoRR},\n      volume    = {abs/1910.11856},\n      year      = {2019},\n      archivePrefix = {arXiv},\n      eprint    = {1910.11856}\n}\n", "homepage": "https://github.com/deepmind/xquad", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "xquad", "config_name": "xquad.en", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 1116123, "num_examples": 1190, "dataset_name": "xquad"}}, "download_checksums": {"https://github.com/deepmind/xquad/raw/master/xquad.ar.json": {"num_bytes": 1582988, "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"}, "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {"num_bytes": 669810, "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"}, "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {"num_bytes": 808652, "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"}, "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {"num_bytes": 911401, "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"}, "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {"num_bytes": 609383, "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"}, "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {"num_bytes": 684322, "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"}, "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {"num_bytes": 1680538, "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"}, "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {"num_bytes": 1918889, "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"}, "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {"num_bytes": 1809143, "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"}, "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {"num_bytes": 729506, "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"}, "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {"num_bytes": 1896368, "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"}, "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {"num_bytes": 661158, "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"}}, "download_size": 13962158, "post_processing_size": null, "dataset_size": 1116123, "size_in_bytes": 15078281}, "xquad.es": {"description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n", "citation": "@article{Artetxe:etal:2019,\n      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},\n      title     = {On the cross-lingual transferability of monolingual representations},\n      journal   = {CoRR},\n      volume    = {abs/1910.11856},\n      year      = {2019},\n      archivePrefix = {arXiv},\n      eprint    = {1910.11856}\n}\n", "homepage": "https://github.com/deepmind/xquad", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "xquad", "config_name": "xquad.es", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 1273499, "num_examples": 1190, "dataset_name": "xquad"}}, "download_checksums": {"https://github.com/deepmind/xquad/raw/master/xquad.ar.json": {"num_bytes": 1582988, "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"}, "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {"num_bytes": 669810, "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"}, "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {"num_bytes": 808652, "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"}, "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {"num_bytes": 911401, "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"}, "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {"num_bytes": 609383, "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"}, "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {"num_bytes": 684322, "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"}, "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {"num_bytes": 1680538, "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"}, "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {"num_bytes": 1918889, "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"}, "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {"num_bytes": 1809143, "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"}, "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {"num_bytes": 729506, "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"}, "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {"num_bytes": 1896368, "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"}, "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {"num_bytes": 661158, "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"}}, "download_size": 13962158, "post_processing_size": null, "dataset_size": 1273499, "size_in_bytes": 15235657}, "xquad.hi": {"description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n", "citation": "@article{Artetxe:etal:2019,\n      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},\n      title     = {On the cross-lingual transferability of monolingual representations},\n      journal   = {CoRR},\n      volume    = {abs/1910.11856},\n      year      = {2019},\n      archivePrefix = {arXiv},\n      eprint    = {1910.11856}\n}\n", "homepage": "https://github.com/deepmind/xquad", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "xquad", "config_name": "xquad.hi", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 2682975, "num_examples": 1190, "dataset_name": "xquad"}}, "download_checksums": {"https://github.com/deepmind/xquad/raw/master/xquad.ar.json": {"num_bytes": 1582988, "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"}, "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {"num_bytes": 669810, "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"}, "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {"num_bytes": 808652, "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"}, "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {"num_bytes": 911401, "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"}, "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {"num_bytes": 609383, "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"}, "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {"num_bytes": 684322, "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"}, "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {"num_bytes": 1680538, "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"}, "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {"num_bytes": 1918889, "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"}, "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {"num_bytes": 1809143, "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"}, "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {"num_bytes": 729506, "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"}, "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {"num_bytes": 1896368, "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"}, "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {"num_bytes": 661158, "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"}}, "download_size": 13962158, "post_processing_size": null, "dataset_size": 2682975, "size_in_bytes": 16645133}, "xquad.el": {"description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n", "citation": "@article{Artetxe:etal:2019,\n      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},\n      title     = {On the cross-lingual transferability of monolingual representations},\n      journal   = {CoRR},\n      volume    = {abs/1910.11856},\n      year      = {2019},\n      archivePrefix = {arXiv},\n      eprint    = {1910.11856}\n}\n", "homepage": "https://github.com/deepmind/xquad", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "xquad", "config_name": "xquad.el", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 2206690, "num_examples": 1190, "dataset_name": "xquad"}}, "download_checksums": {"https://github.com/deepmind/xquad/raw/master/xquad.ar.json": {"num_bytes": 1582988, "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"}, "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {"num_bytes": 669810, "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"}, "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {"num_bytes": 808652, "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"}, "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {"num_bytes": 911401, "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"}, "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {"num_bytes": 609383, "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"}, "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {"num_bytes": 684322, "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"}, "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {"num_bytes": 1680538, "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"}, "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {"num_bytes": 1918889, "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"}, "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {"num_bytes": 1809143, "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"}, "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {"num_bytes": 729506, "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"}, "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {"num_bytes": 1896368, "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"}, "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {"num_bytes": 661158, "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"}}, "download_size": 13962158, "post_processing_size": null, "dataset_size": 2206690, "size_in_bytes": 16168848}, "xquad.th": {"description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n", "citation": "@article{Artetxe:etal:2019,\n      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},\n      title     = {On the cross-lingual transferability of monolingual representations},\n      journal   = {CoRR},\n      volume    = {abs/1910.11856},\n      year      = {2019},\n      archivePrefix = {arXiv},\n      eprint    = {1910.11856}\n}\n", "homepage": "https://github.com/deepmind/xquad", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "xquad", "config_name": "xquad.th", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 2854959, "num_examples": 1190, "dataset_name": "xquad"}}, "download_checksums": {"https://github.com/deepmind/xquad/raw/master/xquad.ar.json": {"num_bytes": 1582988, "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"}, "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {"num_bytes": 669810, "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"}, "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {"num_bytes": 808652, "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"}, "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {"num_bytes": 911401, "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"}, "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {"num_bytes": 609383, "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"}, "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {"num_bytes": 684322, "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"}, "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {"num_bytes": 1680538, "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"}, "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {"num_bytes": 1918889, "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"}, "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {"num_bytes": 1809143, "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"}, "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {"num_bytes": 729506, "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"}, "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {"num_bytes": 1896368, "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"}, "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {"num_bytes": 661158, "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"}}, "download_size": 13962158, "post_processing_size": null, "dataset_size": 2854959, "size_in_bytes": 16817117}, "xquad.tr": {"description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n", "citation": "@article{Artetxe:etal:2019,\n      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},\n      title     = {On the cross-lingual transferability of monolingual representations},\n      journal   = {CoRR},\n      volume    = {abs/1910.11856},\n      year      = {2019},\n      archivePrefix = {arXiv},\n      eprint    = {1910.11856}\n}\n", "homepage": "https://github.com/deepmind/xquad", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "xquad", "config_name": "xquad.tr", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 1210763, "num_examples": 1190, "dataset_name": "xquad"}}, "download_checksums": {"https://github.com/deepmind/xquad/raw/master/xquad.ar.json": {"num_bytes": 1582988, "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"}, "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {"num_bytes": 669810, "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"}, "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {"num_bytes": 808652, "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"}, "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {"num_bytes": 911401, "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"}, "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {"num_bytes": 609383, "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"}, "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {"num_bytes": 684322, "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"}, "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {"num_bytes": 1680538, "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"}, "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {"num_bytes": 1918889, "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"}, "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {"num_bytes": 1809143, "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"}, "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {"num_bytes": 729506, "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"}, "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {"num_bytes": 1896368, "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"}, "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {"num_bytes": 661158, "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"}}, "download_size": 13962158, "post_processing_size": null, "dataset_size": 1210763, "size_in_bytes": 15172921}, "xquad.ru": {"description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n", "citation": "@article{Artetxe:etal:2019,\n      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},\n      title     = {On the cross-lingual transferability of monolingual representations},\n      journal   = {CoRR},\n      volume    = {abs/1910.11856},\n      year      = {2019},\n      archivePrefix = {arXiv},\n      eprint    = {1910.11856}\n}\n", "homepage": "https://github.com/deepmind/xquad", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "xquad", "config_name": "xquad.ru", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 2136990, "num_examples": 1190, "dataset_name": "xquad"}}, "download_checksums": {"https://github.com/deepmind/xquad/raw/master/xquad.ar.json": {"num_bytes": 1582988, "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"}, "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {"num_bytes": 669810, "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"}, "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {"num_bytes": 808652, "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"}, "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {"num_bytes": 911401, "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"}, "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {"num_bytes": 609383, "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"}, "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {"num_bytes": 684322, "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"}, "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {"num_bytes": 1680538, "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"}, "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {"num_bytes": 1918889, "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"}, "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {"num_bytes": 1809143, "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"}, "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {"num_bytes": 729506, "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"}, "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {"num_bytes": 1896368, "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"}, "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {"num_bytes": 661158, "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"}}, "download_size": 13962158, "post_processing_size": null, "dataset_size": 2136990, "size_in_bytes": 16099148}, "xquad.ro": {"description": "XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering\nperformance. The dataset consists of a subset of 240 paragraphs and 1190 question-answer pairs from the development set\nof SQuAD v1.1 (Rajpurkar et al., 2016) together with their professional translations into ten languages: Spanish, German,\nGreek, Russian, Turkish, Arabic, Vietnamese, Thai, Chinese, Hindi and Romanian. Consequently, the dataset is entirely parallel\nacross 12 languages.\n", "citation": "@article{Artetxe:etal:2019,\n      author    = {Mikel Artetxe and Sebastian Ruder and Dani Yogatama},\n      title     = {On the cross-lingual transferability of monolingual representations},\n      journal   = {CoRR},\n      volume    = {abs/1910.11856},\n      year      = {2019},\n      archivePrefix = {arXiv},\n      eprint    = {1910.11856}\n}\n", "homepage": "https://github.com/deepmind/xquad", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "xquad", "config_name": "xquad.ro", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 1299450, "num_examples": 1190, "dataset_name": "xquad"}}, "download_checksums": {"https://github.com/deepmind/xquad/raw/master/xquad.ar.json": {"num_bytes": 1582988, "checksum": "abdabd7afed5c635d99cca0f3f0d0c9d9ed0bc77451e963c2e4e0638c29e486d"}, "https://github.com/deepmind/xquad/raw/master/xquad.de.json": {"num_bytes": 669810, "checksum": "990b5d746746ed65ed4702ea5f35f99ffa4e2f1c390c07d003642acd937916f9"}, "https://github.com/deepmind/xquad/raw/master/xquad.zh.json": {"num_bytes": 808652, "checksum": "691d0b3359bc6b8faa8de931dfdfe21d50a65861ae348e32a0d1a0190b0c8835"}, "https://github.com/deepmind/xquad/raw/master/xquad.vi.json": {"num_bytes": 911401, "checksum": "f619a1eb11fb42d3ab0834259e488a65f585447ef6154437bfb7199d85161a04"}, "https://github.com/deepmind/xquad/raw/master/xquad.en.json": {"num_bytes": 609383, "checksum": "e4c57d1c9143aaa1c5d265ba5987a65f4e69528d2a98f29d6e75019b10344f29"}, "https://github.com/deepmind/xquad/raw/master/xquad.es.json": {"num_bytes": 684322, "checksum": "dcbae93ec3a9f4b9e78fd834a171d6f96c1a875e10e15b7530b7e4ef4971e37e"}, "https://github.com/deepmind/xquad/raw/master/xquad.hi.json": {"num_bytes": 1680538, "checksum": "df2cce3532b37e9beb8979704b5c9a4bf874358f105395a298b89427b43b9d24"}, "https://github.com/deepmind/xquad/raw/master/xquad.el.json": {"num_bytes": 1918889, "checksum": "821cf0f88e73fa258fd2f548b19b6ec39f7025059e16f6f9fc8cd797c9c3663e"}, "https://github.com/deepmind/xquad/raw/master/xquad.th.json": {"num_bytes": 1809143, "checksum": "5cdda11d0e1e075f7872abf4e6ae830388ce7f617964d542308e9ae4257e0f43"}, "https://github.com/deepmind/xquad/raw/master/xquad.tr.json": {"num_bytes": 729506, "checksum": "92179a564774b7696100d144c1e10870d0a966b6fccbdd254a65b9d2ab1971cc"}, "https://github.com/deepmind/xquad/raw/master/xquad.ru.json": {"num_bytes": 1896368, "checksum": "208d5b1aa154c52b1b5c5eda16281e455e8fd198cdb9af3f469f0d6037d973bf"}, "https://github.com/deepmind/xquad/raw/master/xquad.ro.json": {"num_bytes": 661158, "checksum": "94f8d54e93ad2b7dd2e76dd921a666b5b8eff2d4379df9f179c42b445f09643f"}}, "download_size": 13962158, "post_processing_size": null, "dataset_size": 1299450, "size_in_bytes": 15261608}}