Datasets:
Update files from the datasets library (from 1.8.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.8.0
- dataset_infos.json +1 -1
- dummy/xor-full/1.0.0/dummy_data.zip +2 -2
- dummy/xor-retrieve/1.0.0/dummy_data.zip +2 -2
- xor_tydi_qa.py +4 -4
dataset_infos.json
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{"xor-retrieve": {"description": " XOR-TyDi QA brings together for the first time information-seeking questions,\n open-retrieval QA, and multilingual QA to create a multilingual open-retrieval\n QA dataset that enables cross-lingual answer retrieval. It consists of questions\n written by information-seeking native speakers in 7 typologically diverse languages\n and answer annotations that are retrieved from multilingual document collections.\n There are three sub-tasks: XOR-Retrieve, XOR-EnglishSpan, and XOR-Full.\n\nXOR-Retrieve is a cross-lingual retrieval task where a question is written in the target\nlanguage (e.g., Japanese) and a system is required to retrieve English document that answers the question.\n", "citation": " @misc{asai2020xor,\n title={XOR QA: Cross-lingual Open-Retrieval Question Answering}
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{"xor-retrieve": {"description": " XOR-TyDi QA brings together for the first time information-seeking questions,\n open-retrieval QA, and multilingual QA to create a multilingual open-retrieval\n QA dataset that enables cross-lingual answer retrieval. It consists of questions\n written by information-seeking native speakers in 7 typologically diverse languages\n and answer annotations that are retrieved from multilingual document collections.\n There are three sub-tasks: XOR-Retrieve, XOR-EnglishSpan, and XOR-Full.\n\nXOR-Retrieve is a cross-lingual retrieval task where a question is written in the target\nlanguage (e.g., Japanese) and a system is required to retrieve English document that answers the question.\n", "citation": " @misc{asai2020xor,\n title={XOR QA: Cross-lingual Open-Retrieval Question Answering},\n author={Akari Asai and Jungo Kasai and Jonathan H. Clark and Kenton Lee and Eunsol Choi and Hannaneh Hajishirzi},\n year={2020},\n eprint={2010.11856},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "https://nlp.cs.washington.edu/xorqa/", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"num_classes": 7, "names": ["ar", "bn", "fi", "ja", "ko", "ru", "te"], "names_file": null, "id": null, "_type": "ClassLabel"}, "answers": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xor_ty_di", "config_name": "xor-retrieve", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1698662, "num_examples": 15250, "dataset_name": "xor_ty_di"}, "validation": {"name": "validation", "num_bytes": 259533, "num_examples": 2110, "dataset_name": "xor_ty_di"}, "test": {"name": "test", "num_bytes": 219046, "num_examples": 2499, "dataset_name": "xor_ty_di"}}, "download_checksums": {"https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_train_retrieve_eng_span.jsonl": {"num_bytes": 2912848, "checksum": "f0c8202eebcef9fc129c9bb8e7a12fae1a7648163b249dc0a06df4318923f70b"}, "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_dev_retrieve_eng_span_v1_1.jsonl": {"num_bytes": 426987, "checksum": "cfe569e4c6d3539c2111d97249f900318f9273b246a61fff95216ce2a2e1505c"}, "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_test_retrieve_eng_span_q_only_v1_1.jsonl": {"num_bytes": 362453, "checksum": "b0da54e12de5b3fc5eb67c6fc02e6ef96a7f42fcdc9adc86f9a1ec3dd9fc4649"}}, "download_size": 3702288, "post_processing_size": null, "dataset_size": 2177241, "size_in_bytes": 5879529}, "xor-full": {"description": " XOR-TyDi QA brings together for the first time information-seeking questions,\n open-retrieval QA, and multilingual QA to create a multilingual open-retrieval\n QA dataset that enables cross-lingual answer retrieval. It consists of questions\n written by information-seeking native speakers in 7 typologically diverse languages\n and answer annotations that are retrieved from multilingual document collections.\n There are three sub-tasks: XOR-Retrieve, XOR-EnglishSpan, and XOR-Full.\n\nXOR-Full is a cross-lingual retrieval task where a question is written in the target\nlanguage (e.g., Japanese) and a system is required to output a short answer in the target language.", "citation": " @misc{asai2020xor,\n title={XOR QA: Cross-lingual Open-Retrieval Question Answering},\n author={Akari Asai and Jungo Kasai and Jonathan H. Clark and Kenton Lee and Eunsol Choi and Hannaneh Hajishirzi},\n year={2020},\n eprint={2010.11856},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "https://nlp.cs.washington.edu/xorqa/", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"num_classes": 7, "names": ["ar", "bn", "fi", "ja", "ko", "ru", "te"], "names_file": null, "id": null, "_type": "ClassLabel"}, "answers": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xor_ty_di", "config_name": "xor-full", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7250913, "num_examples": 61360, "dataset_name": "xor_ty_di"}, "validation": {"name": "validation", "num_bytes": 444672, "num_examples": 3473, "dataset_name": "xor_ty_di"}, "test": {"name": "test", "num_bytes": 706664, "num_examples": 8176, "dataset_name": "xor_ty_di"}}, "download_checksums": {"https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_train_full.jsonl": {"num_bytes": 12126903, "checksum": "7bb3b97f0ff57a39df21289102cc4e278406074c460310f4a22ff50ed578f315"}, "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_dev_full_v1_1.jsonl": {"num_bytes": 715496, "checksum": "2f5145e3bb9e58fd5d25bbb32d289dfa59405999f523295bf80bdecb9e74271e"}, "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_test_full_q_only_v1_1.jsonl": {"num_bytes": 1175899, "checksum": "4c1010182a8f5c8845b6e54a6b22ce2927000820f31fca66be77ec402eea3252"}}, "download_size": 14018298, "post_processing_size": null, "dataset_size": 8402249, "size_in_bytes": 22420547}}
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dummy/xor-full/1.0.0/dummy_data.zip
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dummy/xor-retrieve/1.0.0/dummy_data.zip
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xor_tydi_qa.py
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_DATA_URLS = {
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"xor-retrieve": {
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"train": "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_train_retrieve_eng_span.jsonl",
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"dev": "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/
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"test": "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/
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},
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"xor-full": {
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"train": "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_train_full.jsonl",
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"dev": "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/
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"test": "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/
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},
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}
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_DATA_URLS = {
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"xor-retrieve": {
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"train": "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_train_retrieve_eng_span.jsonl",
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"dev": "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_dev_retrieve_eng_span_v1_1.jsonl",
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"test": "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_test_retrieve_eng_span_q_only_v1_1.jsonl",
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},
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"xor-full": {
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"train": "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_train_full.jsonl",
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"dev": "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_dev_full_v1_1.jsonl",
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"test": "https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_test_full_q_only_v1_1.jsonl",
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},
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}
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