Datasets:

Sub-tasks:
extractive-qa
Multilinguality:
multilingual
Size Categories:
1K<n<10K
Language Creators:
found
Annotations Creators:
expert-generated
ArXiv:
Tags:
License:
xquad_r / dataset_infos.json
system's picture
system HF staff
Update files from the datasets library (from 1.2.0)
9c4ca20
raw history blame
No virus
38.8 kB
{"ar": {"description": "XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each question appears in 11 different languages and has 11 parallel correct answers across the languages.\n", "citation": "@article{roy2020lareqa,\n title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},\n author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},\n journal={arXiv preprint arXiv:2004.05484},\n year={2020}\n}\n", "homepage": "https://github.com/google-research-datasets/lareqa", "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, "builder_name": "xquad_r", "config_name": "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_r"}}, "download_checksums": {"https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ar.json": {"num_bytes": 2234875, "checksum": "c52922d3b8ac1ae03ed5ac38647ad59870dca3dda2beefe18ecdc30729acb69d"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/de.json": {"num_bytes": 732156, "checksum": "16fb0f4bf4916154b585a20c24c66074591c9718a1affe764ff4697572328949"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/zh.json": {"num_bytes": 959291, "checksum": "80c2cde7b9c2fb134c303cbb52f2ba396ead9eb0014aec43993543d2ba9e93ed"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/vi.json": {"num_bytes": 1132303, "checksum": "e35926bf5cc6fc6ecbdfca49467aabeb454f08d152d7818143a906bd31dde995"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/en.json": {"num_bytes": 628651, "checksum": "7b0954f39297c27a31fef610f0883337dd2907fa8699151dc922afdd0fa12ffe"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/es.json": {"num_bytes": 746335, "checksum": "f8e836b2d91009c4363e04315f7ede363eedbbb49c67dda60de6c4aa782f58de"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/hi.json": {"num_bytes": 2408404, "checksum": "ea45ba8ae4513d1533b222bebdc02a90bc319c055d3aeea68584a053d2e92872"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/el.json": {"num_bytes": 2810127, "checksum": "163fd43ee785a30eb534ae2061e9eaa766a7ee4e8ffce5e4b422480c150f64b6"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/th.json": {"num_bytes": 2618544, "checksum": "c3a041864c3a9fb0b4dd91cfdf99cf36b411b3e704c58a303c97bc6dc786cfe4"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/tr.json": {"num_bytes": 827827, "checksum": "f3e8c13002bbce154a4578f535f7533cb70f3da08840e6b62735935baec7bd94"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ru.json": {"num_bytes": 2764904, "checksum": "7f4dff853538b9a5fcc28c070b8bb983a5c5d190ac747b8e005a1ada9cab18f1"}}, "download_size": 17863417, "post_processing_size": null, "dataset_size": 1722799, "size_in_bytes": 19586216}, "de": {"description": "XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each question appears in 11 different languages and has 11 parallel correct answers across the languages.\n", "citation": "@article{roy2020lareqa,\n title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},\n author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},\n journal={arXiv preprint arXiv:2004.05484},\n year={2020}\n}\n", "homepage": "https://github.com/google-research-datasets/lareqa", "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, "builder_name": "xquad_r", "config_name": "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_r"}}, "download_checksums": {"https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ar.json": {"num_bytes": 2234875, "checksum": "c52922d3b8ac1ae03ed5ac38647ad59870dca3dda2beefe18ecdc30729acb69d"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/de.json": {"num_bytes": 732156, "checksum": "16fb0f4bf4916154b585a20c24c66074591c9718a1affe764ff4697572328949"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/zh.json": {"num_bytes": 959291, "checksum": "80c2cde7b9c2fb134c303cbb52f2ba396ead9eb0014aec43993543d2ba9e93ed"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/vi.json": {"num_bytes": 1132303, "checksum": "e35926bf5cc6fc6ecbdfca49467aabeb454f08d152d7818143a906bd31dde995"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/en.json": {"num_bytes": 628651, "checksum": "7b0954f39297c27a31fef610f0883337dd2907fa8699151dc922afdd0fa12ffe"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/es.json": {"num_bytes": 746335, "checksum": "f8e836b2d91009c4363e04315f7ede363eedbbb49c67dda60de6c4aa782f58de"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/hi.json": {"num_bytes": 2408404, "checksum": "ea45ba8ae4513d1533b222bebdc02a90bc319c055d3aeea68584a053d2e92872"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/el.json": {"num_bytes": 2810127, "checksum": "163fd43ee785a30eb534ae2061e9eaa766a7ee4e8ffce5e4b422480c150f64b6"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/th.json": {"num_bytes": 2618544, "checksum": "c3a041864c3a9fb0b4dd91cfdf99cf36b411b3e704c58a303c97bc6dc786cfe4"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/tr.json": {"num_bytes": 827827, "checksum": "f3e8c13002bbce154a4578f535f7533cb70f3da08840e6b62735935baec7bd94"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ru.json": {"num_bytes": 2764904, "checksum": "7f4dff853538b9a5fcc28c070b8bb983a5c5d190ac747b8e005a1ada9cab18f1"}}, "download_size": 17863417, "post_processing_size": null, "dataset_size": 1283301, "size_in_bytes": 19146718}, "zh": {"description": "XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each question appears in 11 different languages and has 11 parallel correct answers across the languages.\n", "citation": "@article{roy2020lareqa,\n title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},\n author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},\n journal={arXiv preprint arXiv:2004.05484},\n year={2020}\n}\n", "homepage": "https://github.com/google-research-datasets/lareqa", "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, "builder_name": "xquad_r", "config_name": "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_r"}}, "download_checksums": {"https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ar.json": {"num_bytes": 2234875, "checksum": "c52922d3b8ac1ae03ed5ac38647ad59870dca3dda2beefe18ecdc30729acb69d"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/de.json": {"num_bytes": 732156, "checksum": "16fb0f4bf4916154b585a20c24c66074591c9718a1affe764ff4697572328949"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/zh.json": {"num_bytes": 959291, "checksum": "80c2cde7b9c2fb134c303cbb52f2ba396ead9eb0014aec43993543d2ba9e93ed"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/vi.json": {"num_bytes": 1132303, "checksum": "e35926bf5cc6fc6ecbdfca49467aabeb454f08d152d7818143a906bd31dde995"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/en.json": {"num_bytes": 628651, "checksum": "7b0954f39297c27a31fef610f0883337dd2907fa8699151dc922afdd0fa12ffe"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/es.json": {"num_bytes": 746335, "checksum": "f8e836b2d91009c4363e04315f7ede363eedbbb49c67dda60de6c4aa782f58de"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/hi.json": {"num_bytes": 2408404, "checksum": "ea45ba8ae4513d1533b222bebdc02a90bc319c055d3aeea68584a053d2e92872"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/el.json": {"num_bytes": 2810127, "checksum": "163fd43ee785a30eb534ae2061e9eaa766a7ee4e8ffce5e4b422480c150f64b6"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/th.json": {"num_bytes": 2618544, "checksum": "c3a041864c3a9fb0b4dd91cfdf99cf36b411b3e704c58a303c97bc6dc786cfe4"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/tr.json": {"num_bytes": 827827, "checksum": "f3e8c13002bbce154a4578f535f7533cb70f3da08840e6b62735935baec7bd94"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ru.json": {"num_bytes": 2764904, "checksum": "7f4dff853538b9a5fcc28c070b8bb983a5c5d190ac747b8e005a1ada9cab18f1"}}, "download_size": 17863417, "post_processing_size": null, "dataset_size": 984241, "size_in_bytes": 18847658}, "vi": {"description": "XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each question appears in 11 different languages and has 11 parallel correct answers across the languages.\n", "citation": "@article{roy2020lareqa,\n title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},\n author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},\n journal={arXiv preprint arXiv:2004.05484},\n year={2020}\n}\n", "homepage": "https://github.com/google-research-datasets/lareqa", "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, "builder_name": "xquad_r", "config_name": "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_r"}}, "download_checksums": {"https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ar.json": {"num_bytes": 2234875, "checksum": "c52922d3b8ac1ae03ed5ac38647ad59870dca3dda2beefe18ecdc30729acb69d"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/de.json": {"num_bytes": 732156, "checksum": "16fb0f4bf4916154b585a20c24c66074591c9718a1affe764ff4697572328949"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/zh.json": {"num_bytes": 959291, "checksum": "80c2cde7b9c2fb134c303cbb52f2ba396ead9eb0014aec43993543d2ba9e93ed"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/vi.json": {"num_bytes": 1132303, "checksum": "e35926bf5cc6fc6ecbdfca49467aabeb454f08d152d7818143a906bd31dde995"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/en.json": {"num_bytes": 628651, "checksum": "7b0954f39297c27a31fef610f0883337dd2907fa8699151dc922afdd0fa12ffe"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/es.json": {"num_bytes": 746335, "checksum": "f8e836b2d91009c4363e04315f7ede363eedbbb49c67dda60de6c4aa782f58de"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/hi.json": {"num_bytes": 2408404, "checksum": "ea45ba8ae4513d1533b222bebdc02a90bc319c055d3aeea68584a053d2e92872"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/el.json": {"num_bytes": 2810127, "checksum": "163fd43ee785a30eb534ae2061e9eaa766a7ee4e8ffce5e4b422480c150f64b6"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/th.json": {"num_bytes": 2618544, "checksum": "c3a041864c3a9fb0b4dd91cfdf99cf36b411b3e704c58a303c97bc6dc786cfe4"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/tr.json": {"num_bytes": 827827, "checksum": "f3e8c13002bbce154a4578f535f7533cb70f3da08840e6b62735935baec7bd94"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ru.json": {"num_bytes": 2764904, "checksum": "7f4dff853538b9a5fcc28c070b8bb983a5c5d190ac747b8e005a1ada9cab18f1"}}, "download_size": 17863417, "post_processing_size": null, "dataset_size": 1477239, "size_in_bytes": 19340656}, "en": {"description": "XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each question appears in 11 different languages and has 11 parallel correct answers across the languages.\n", "citation": "@article{roy2020lareqa,\n title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},\n author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},\n journal={arXiv preprint arXiv:2004.05484},\n year={2020}\n}\n", "homepage": "https://github.com/google-research-datasets/lareqa", "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, "builder_name": "xquad_r", "config_name": "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_r"}}, "download_checksums": {"https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ar.json": {"num_bytes": 2234875, "checksum": "c52922d3b8ac1ae03ed5ac38647ad59870dca3dda2beefe18ecdc30729acb69d"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/de.json": {"num_bytes": 732156, "checksum": "16fb0f4bf4916154b585a20c24c66074591c9718a1affe764ff4697572328949"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/zh.json": {"num_bytes": 959291, "checksum": "80c2cde7b9c2fb134c303cbb52f2ba396ead9eb0014aec43993543d2ba9e93ed"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/vi.json": {"num_bytes": 1132303, "checksum": "e35926bf5cc6fc6ecbdfca49467aabeb454f08d152d7818143a906bd31dde995"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/en.json": {"num_bytes": 628651, "checksum": "7b0954f39297c27a31fef610f0883337dd2907fa8699151dc922afdd0fa12ffe"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/es.json": {"num_bytes": 746335, "checksum": "f8e836b2d91009c4363e04315f7ede363eedbbb49c67dda60de6c4aa782f58de"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/hi.json": {"num_bytes": 2408404, "checksum": "ea45ba8ae4513d1533b222bebdc02a90bc319c055d3aeea68584a053d2e92872"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/el.json": {"num_bytes": 2810127, "checksum": "163fd43ee785a30eb534ae2061e9eaa766a7ee4e8ffce5e4b422480c150f64b6"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/th.json": {"num_bytes": 2618544, "checksum": "c3a041864c3a9fb0b4dd91cfdf99cf36b411b3e704c58a303c97bc6dc786cfe4"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/tr.json": {"num_bytes": 827827, "checksum": "f3e8c13002bbce154a4578f535f7533cb70f3da08840e6b62735935baec7bd94"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ru.json": {"num_bytes": 2764904, "checksum": "7f4dff853538b9a5fcc28c070b8bb983a5c5d190ac747b8e005a1ada9cab18f1"}}, "download_size": 17863417, "post_processing_size": null, "dataset_size": 1116123, "size_in_bytes": 18979540}, "es": {"description": "XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each question appears in 11 different languages and has 11 parallel correct answers across the languages.\n", "citation": "@article{roy2020lareqa,\n title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},\n author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},\n journal={arXiv preprint arXiv:2004.05484},\n year={2020}\n}\n", "homepage": "https://github.com/google-research-datasets/lareqa", "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, "builder_name": "xquad_r", "config_name": "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_r"}}, "download_checksums": {"https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ar.json": {"num_bytes": 2234875, "checksum": "c52922d3b8ac1ae03ed5ac38647ad59870dca3dda2beefe18ecdc30729acb69d"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/de.json": {"num_bytes": 732156, "checksum": "16fb0f4bf4916154b585a20c24c66074591c9718a1affe764ff4697572328949"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/zh.json": {"num_bytes": 959291, "checksum": "80c2cde7b9c2fb134c303cbb52f2ba396ead9eb0014aec43993543d2ba9e93ed"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/vi.json": {"num_bytes": 1132303, "checksum": "e35926bf5cc6fc6ecbdfca49467aabeb454f08d152d7818143a906bd31dde995"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/en.json": {"num_bytes": 628651, "checksum": "7b0954f39297c27a31fef610f0883337dd2907fa8699151dc922afdd0fa12ffe"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/es.json": {"num_bytes": 746335, "checksum": "f8e836b2d91009c4363e04315f7ede363eedbbb49c67dda60de6c4aa782f58de"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/hi.json": {"num_bytes": 2408404, "checksum": "ea45ba8ae4513d1533b222bebdc02a90bc319c055d3aeea68584a053d2e92872"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/el.json": {"num_bytes": 2810127, "checksum": "163fd43ee785a30eb534ae2061e9eaa766a7ee4e8ffce5e4b422480c150f64b6"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/th.json": {"num_bytes": 2618544, "checksum": "c3a041864c3a9fb0b4dd91cfdf99cf36b411b3e704c58a303c97bc6dc786cfe4"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/tr.json": {"num_bytes": 827827, "checksum": "f3e8c13002bbce154a4578f535f7533cb70f3da08840e6b62735935baec7bd94"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ru.json": {"num_bytes": 2764904, "checksum": "7f4dff853538b9a5fcc28c070b8bb983a5c5d190ac747b8e005a1ada9cab18f1"}}, "download_size": 17863417, "post_processing_size": null, "dataset_size": 1273499, "size_in_bytes": 19136916}, "hi": {"description": "XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each question appears in 11 different languages and has 11 parallel correct answers across the languages.\n", "citation": "@article{roy2020lareqa,\n title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},\n author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},\n journal={arXiv preprint arXiv:2004.05484},\n year={2020}\n}\n", "homepage": "https://github.com/google-research-datasets/lareqa", "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, "builder_name": "xquad_r", "config_name": "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_r"}}, "download_checksums": {"https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ar.json": {"num_bytes": 2234875, "checksum": "c52922d3b8ac1ae03ed5ac38647ad59870dca3dda2beefe18ecdc30729acb69d"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/de.json": {"num_bytes": 732156, "checksum": "16fb0f4bf4916154b585a20c24c66074591c9718a1affe764ff4697572328949"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/zh.json": {"num_bytes": 959291, "checksum": "80c2cde7b9c2fb134c303cbb52f2ba396ead9eb0014aec43993543d2ba9e93ed"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/vi.json": {"num_bytes": 1132303, "checksum": "e35926bf5cc6fc6ecbdfca49467aabeb454f08d152d7818143a906bd31dde995"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/en.json": {"num_bytes": 628651, "checksum": "7b0954f39297c27a31fef610f0883337dd2907fa8699151dc922afdd0fa12ffe"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/es.json": {"num_bytes": 746335, "checksum": "f8e836b2d91009c4363e04315f7ede363eedbbb49c67dda60de6c4aa782f58de"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/hi.json": {"num_bytes": 2408404, "checksum": "ea45ba8ae4513d1533b222bebdc02a90bc319c055d3aeea68584a053d2e92872"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/el.json": {"num_bytes": 2810127, "checksum": "163fd43ee785a30eb534ae2061e9eaa766a7ee4e8ffce5e4b422480c150f64b6"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/th.json": {"num_bytes": 2618544, "checksum": "c3a041864c3a9fb0b4dd91cfdf99cf36b411b3e704c58a303c97bc6dc786cfe4"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/tr.json": {"num_bytes": 827827, "checksum": "f3e8c13002bbce154a4578f535f7533cb70f3da08840e6b62735935baec7bd94"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ru.json": {"num_bytes": 2764904, "checksum": "7f4dff853538b9a5fcc28c070b8bb983a5c5d190ac747b8e005a1ada9cab18f1"}}, "download_size": 17863417, "post_processing_size": null, "dataset_size": 2682975, "size_in_bytes": 20546392}, "el": {"description": "XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each question appears in 11 different languages and has 11 parallel correct answers across the languages.\n", "citation": "@article{roy2020lareqa,\n title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},\n author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},\n journal={arXiv preprint arXiv:2004.05484},\n year={2020}\n}\n", "homepage": "https://github.com/google-research-datasets/lareqa", "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, "builder_name": "xquad_r", "config_name": "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_r"}}, "download_checksums": {"https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ar.json": {"num_bytes": 2234875, "checksum": "c52922d3b8ac1ae03ed5ac38647ad59870dca3dda2beefe18ecdc30729acb69d"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/de.json": {"num_bytes": 732156, "checksum": "16fb0f4bf4916154b585a20c24c66074591c9718a1affe764ff4697572328949"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/zh.json": {"num_bytes": 959291, "checksum": "80c2cde7b9c2fb134c303cbb52f2ba396ead9eb0014aec43993543d2ba9e93ed"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/vi.json": {"num_bytes": 1132303, "checksum": "e35926bf5cc6fc6ecbdfca49467aabeb454f08d152d7818143a906bd31dde995"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/en.json": {"num_bytes": 628651, "checksum": "7b0954f39297c27a31fef610f0883337dd2907fa8699151dc922afdd0fa12ffe"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/es.json": {"num_bytes": 746335, "checksum": "f8e836b2d91009c4363e04315f7ede363eedbbb49c67dda60de6c4aa782f58de"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/hi.json": {"num_bytes": 2408404, "checksum": "ea45ba8ae4513d1533b222bebdc02a90bc319c055d3aeea68584a053d2e92872"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/el.json": {"num_bytes": 2810127, "checksum": "163fd43ee785a30eb534ae2061e9eaa766a7ee4e8ffce5e4b422480c150f64b6"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/th.json": {"num_bytes": 2618544, "checksum": "c3a041864c3a9fb0b4dd91cfdf99cf36b411b3e704c58a303c97bc6dc786cfe4"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/tr.json": {"num_bytes": 827827, "checksum": "f3e8c13002bbce154a4578f535f7533cb70f3da08840e6b62735935baec7bd94"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ru.json": {"num_bytes": 2764904, "checksum": "7f4dff853538b9a5fcc28c070b8bb983a5c5d190ac747b8e005a1ada9cab18f1"}}, "download_size": 17863417, "post_processing_size": null, "dataset_size": 2206690, "size_in_bytes": 20070107}, "th": {"description": "XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each question appears in 11 different languages and has 11 parallel correct answers across the languages.\n", "citation": "@article{roy2020lareqa,\n title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},\n author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},\n journal={arXiv preprint arXiv:2004.05484},\n year={2020}\n}\n", "homepage": "https://github.com/google-research-datasets/lareqa", "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, "builder_name": "xquad_r", "config_name": "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_r"}}, "download_checksums": {"https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ar.json": {"num_bytes": 2234875, "checksum": "c52922d3b8ac1ae03ed5ac38647ad59870dca3dda2beefe18ecdc30729acb69d"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/de.json": {"num_bytes": 732156, "checksum": "16fb0f4bf4916154b585a20c24c66074591c9718a1affe764ff4697572328949"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/zh.json": {"num_bytes": 959291, "checksum": "80c2cde7b9c2fb134c303cbb52f2ba396ead9eb0014aec43993543d2ba9e93ed"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/vi.json": {"num_bytes": 1132303, "checksum": "e35926bf5cc6fc6ecbdfca49467aabeb454f08d152d7818143a906bd31dde995"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/en.json": {"num_bytes": 628651, "checksum": "7b0954f39297c27a31fef610f0883337dd2907fa8699151dc922afdd0fa12ffe"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/es.json": {"num_bytes": 746335, "checksum": "f8e836b2d91009c4363e04315f7ede363eedbbb49c67dda60de6c4aa782f58de"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/hi.json": {"num_bytes": 2408404, "checksum": "ea45ba8ae4513d1533b222bebdc02a90bc319c055d3aeea68584a053d2e92872"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/el.json": {"num_bytes": 2810127, "checksum": "163fd43ee785a30eb534ae2061e9eaa766a7ee4e8ffce5e4b422480c150f64b6"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/th.json": {"num_bytes": 2618544, "checksum": "c3a041864c3a9fb0b4dd91cfdf99cf36b411b3e704c58a303c97bc6dc786cfe4"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/tr.json": {"num_bytes": 827827, "checksum": "f3e8c13002bbce154a4578f535f7533cb70f3da08840e6b62735935baec7bd94"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ru.json": {"num_bytes": 2764904, "checksum": "7f4dff853538b9a5fcc28c070b8bb983a5c5d190ac747b8e005a1ada9cab18f1"}}, "download_size": 17863417, "post_processing_size": null, "dataset_size": 2854959, "size_in_bytes": 20718376}, "tr": {"description": "XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each question appears in 11 different languages and has 11 parallel correct answers across the languages.\n", "citation": "@article{roy2020lareqa,\n title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},\n author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},\n journal={arXiv preprint arXiv:2004.05484},\n year={2020}\n}\n", "homepage": "https://github.com/google-research-datasets/lareqa", "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, "builder_name": "xquad_r", "config_name": "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_r"}}, "download_checksums": {"https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ar.json": {"num_bytes": 2234875, "checksum": "c52922d3b8ac1ae03ed5ac38647ad59870dca3dda2beefe18ecdc30729acb69d"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/de.json": {"num_bytes": 732156, "checksum": "16fb0f4bf4916154b585a20c24c66074591c9718a1affe764ff4697572328949"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/zh.json": {"num_bytes": 959291, "checksum": "80c2cde7b9c2fb134c303cbb52f2ba396ead9eb0014aec43993543d2ba9e93ed"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/vi.json": {"num_bytes": 1132303, "checksum": "e35926bf5cc6fc6ecbdfca49467aabeb454f08d152d7818143a906bd31dde995"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/en.json": {"num_bytes": 628651, "checksum": "7b0954f39297c27a31fef610f0883337dd2907fa8699151dc922afdd0fa12ffe"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/es.json": {"num_bytes": 746335, "checksum": "f8e836b2d91009c4363e04315f7ede363eedbbb49c67dda60de6c4aa782f58de"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/hi.json": {"num_bytes": 2408404, "checksum": "ea45ba8ae4513d1533b222bebdc02a90bc319c055d3aeea68584a053d2e92872"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/el.json": {"num_bytes": 2810127, "checksum": "163fd43ee785a30eb534ae2061e9eaa766a7ee4e8ffce5e4b422480c150f64b6"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/th.json": {"num_bytes": 2618544, "checksum": "c3a041864c3a9fb0b4dd91cfdf99cf36b411b3e704c58a303c97bc6dc786cfe4"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/tr.json": {"num_bytes": 827827, "checksum": "f3e8c13002bbce154a4578f535f7533cb70f3da08840e6b62735935baec7bd94"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ru.json": {"num_bytes": 2764904, "checksum": "7f4dff853538b9a5fcc28c070b8bb983a5c5d190ac747b8e005a1ada9cab18f1"}}, "download_size": 17863417, "post_processing_size": null, "dataset_size": 1210763, "size_in_bytes": 19074180}, "ru": {"description": "XQuAD-R is a retrieval version of the XQuAD dataset (a cross-lingual extractive QA dataset). Like XQuAD, XQUAD-R is an 11-way parallel dataset, where each question appears in 11 different languages and has 11 parallel correct answers across the languages.\n", "citation": "@article{roy2020lareqa,\n title={LAReQA: Language-agnostic answer retrieval from a multilingual pool},\n author={Roy, Uma and Constant, Noah and Al-Rfou, Rami and Barua, Aditya and Phillips, Aaron and Yang, Yinfei},\n journal={arXiv preprint arXiv:2004.05484},\n year={2020}\n}\n", "homepage": "https://github.com/google-research-datasets/lareqa", "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, "builder_name": "xquad_r", "config_name": "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_r"}}, "download_checksums": {"https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ar.json": {"num_bytes": 2234875, "checksum": "c52922d3b8ac1ae03ed5ac38647ad59870dca3dda2beefe18ecdc30729acb69d"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/de.json": {"num_bytes": 732156, "checksum": "16fb0f4bf4916154b585a20c24c66074591c9718a1affe764ff4697572328949"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/zh.json": {"num_bytes": 959291, "checksum": "80c2cde7b9c2fb134c303cbb52f2ba396ead9eb0014aec43993543d2ba9e93ed"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/vi.json": {"num_bytes": 1132303, "checksum": "e35926bf5cc6fc6ecbdfca49467aabeb454f08d152d7818143a906bd31dde995"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/en.json": {"num_bytes": 628651, "checksum": "7b0954f39297c27a31fef610f0883337dd2907fa8699151dc922afdd0fa12ffe"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/es.json": {"num_bytes": 746335, "checksum": "f8e836b2d91009c4363e04315f7ede363eedbbb49c67dda60de6c4aa782f58de"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/hi.json": {"num_bytes": 2408404, "checksum": "ea45ba8ae4513d1533b222bebdc02a90bc319c055d3aeea68584a053d2e92872"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/el.json": {"num_bytes": 2810127, "checksum": "163fd43ee785a30eb534ae2061e9eaa766a7ee4e8ffce5e4b422480c150f64b6"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/th.json": {"num_bytes": 2618544, "checksum": "c3a041864c3a9fb0b4dd91cfdf99cf36b411b3e704c58a303c97bc6dc786cfe4"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/tr.json": {"num_bytes": 827827, "checksum": "f3e8c13002bbce154a4578f535f7533cb70f3da08840e6b62735935baec7bd94"}, "https://github.com/google-research-datasets/lareqa/raw/master/xquad-r/ru.json": {"num_bytes": 2764904, "checksum": "7f4dff853538b9a5fcc28c070b8bb983a5c5d190ac747b8e005a1ada9cab18f1"}}, "download_size": 17863417, "post_processing_size": null, "dataset_size": 2136990, "size_in_bytes": 20000407}}