Datasets:

ahelk
/

ccaligned_multilingual

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Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).\n", "citation": "@inproceedings{elkishky_ccaligned_2020,\n author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzm{'a}n, Francisco and Koehn, Philipp},\n booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},\n month = {November},\n title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},\n year = {2020}\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/2020.emnlp-main.480\",\n doi = \"10.18653/v1/2020.emnlp-main.480\",\n pages = \"5960--5969\"\n}\n", "homepage": "http://www.statmt.org/cc-aligned/", "license": "", "features": {"translation": {"languages": ["en_XX", "zz_TR"], "id": null, "_type": "Translation"}, "LASER_similarity": {"dtype": "float32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "ccaligned_multilingual", "config_name": "sentences-zz_TR", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4056, "num_examples": 34, "dataset_name": "ccaligned_multilingual"}}, "download_checksums": {"http://www.statmt.org/cc-aligned/sentence-aligned/en_XX-zz_TR.tsv.xz": {"num_bytes": 1428, "checksum": "14bbbb8752bc0d3620a1f441378862f457f4fdf4613887715794202301c7c9af"}}, "download_size": 1428, "post_processing_size": null, "dataset_size": 4056, "size_in_bytes": 5484}, "documents-tz_MA": {"description": "CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. 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Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).\n", "citation": "@inproceedings{elkishky_ccaligned_2020,\n author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzm{'a}n, Francisco and Koehn, Philipp},\n booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},\n month = {November},\n title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},\n year = {2020}\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/2020.emnlp-main.480\",\n doi = \"10.18653/v1/2020.emnlp-main.480\",\n pages = \"5960--5969\"\n}\n", "homepage": "http://www.statmt.org/cc-aligned/", "license": "", "features": {"Domain": {"dtype": "string", "id": null, "_type": "Value"}, "Source_URL": {"dtype": "string", "id": null, "_type": "Value"}, "Target_URL": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["en_XX", "tz_MA"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "ccaligned_multilingual", "config_name": "documents-tz_MA", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 51782, "num_examples": 4, "dataset_name": "ccaligned_multilingual"}}, "download_checksums": {"http://www.statmt.org/cc-aligned/en_XX-tz_MA.tsv.xz": {"num_bytes": 11996, "checksum": "31fabb4f9ba4506db3dcbecb31fcafeddb6ca5c0cc7bb37f24ebb0aa5f03f2dc"}}, "download_size": 11996, "post_processing_size": null, "dataset_size": 51782, "size_in_bytes": 63778}, "sentences-tz_MA": {"description": "CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. 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Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).\n", "citation": "@inproceedings{elkishky_ccaligned_2020,\n author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzm{'a}n, Francisco and Koehn, Philipp},\n booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},\n month = {November},\n title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},\n year = {2020}\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/2020.emnlp-main.480\",\n doi = \"10.18653/v1/2020.emnlp-main.480\",\n pages = \"5960--5969\"\n}\n", "homepage": "http://www.statmt.org/cc-aligned/", "license": "", "features": {"translation": {"languages": ["en_XX", "tz_MA"], "id": null, "_type": "Translation"}, "LASER_similarity": {"dtype": "float32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "ccaligned_multilingual", "config_name": "sentences-tz_MA", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 6256, "num_examples": 33, "dataset_name": "ccaligned_multilingual"}}, "download_checksums": {"http://www.statmt.org/cc-aligned/sentence-aligned/en_XX-tz_MA.tsv.xz": {"num_bytes": 2420, "checksum": "ebe1b6e0fc44af392d784fd5cba98f347e1cc010dfc2d283f884cbe8534fcc21"}}, "download_size": 2420, "post_processing_size": null, "dataset_size": 6256, "size_in_bytes": 8676}, "documents-ak_GH": {"description": "CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. 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Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).\n", "citation": "@inproceedings{elkishky_ccaligned_2020,\n author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzm{'a}n, Francisco and Koehn, Philipp},\n booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},\n month = {November},\n title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},\n year = {2020}\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/2020.emnlp-main.480\",\n doi = \"10.18653/v1/2020.emnlp-main.480\",\n pages = \"5960--5969\"\n}\n", "homepage": "http://www.statmt.org/cc-aligned/", "license": "", "features": {"Domain": {"dtype": "string", "id": null, "_type": "Value"}, "Source_URL": {"dtype": "string", "id": null, "_type": "Value"}, "Target_URL": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["en_XX", "ak_GH"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "ccaligned_multilingual", "config_name": "documents-ak_GH", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 10738312, "num_examples": 249, "dataset_name": "ccaligned_multilingual"}}, "download_checksums": {"http://www.statmt.org/cc-aligned/en_XX-ak_GH.tsv.xz": {"num_bytes": 399236, "checksum": "e0e78c243e68e4a717be0af5bd12ff3de7331ac250b018bd755cade4f98fa832"}}, "download_size": 399236, "post_processing_size": null, "dataset_size": 10738312, "size_in_bytes": 11137548}, "sentences-ak_GH": {"description": "CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. 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Recognizing that each English document was often aligned to mulitple documents in different target language, we can join on English documents to obtain aligned documents that directly pair two non-English documents (e.g., Arabic-French).\n", "citation": "@inproceedings{elkishky_ccaligned_2020,\n author = {El-Kishky, Ahmed and Chaudhary, Vishrav and Guzm{'a}n, Francisco and Koehn, Philipp},\n booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)},\n month = {November},\n title = {{CCAligned}: A Massive Collection of Cross-lingual Web-Document Pairs},\n year = {2020}\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://www.aclweb.org/anthology/2020.emnlp-main.480\",\n doi = \"10.18653/v1/2020.emnlp-main.480\",\n pages = \"5960--5969\"\n}\n", "homepage": "http://www.statmt.org/cc-aligned/", "license": "", "features": {"translation": {"languages": ["en_XX", "ak_GH"], "id": null, "_type": "Translation"}, "LASER_similarity": {"dtype": "float32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "ccaligned_multilingual", "config_name": "sentences-ak_GH", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 50110, "num_examples": 478, "dataset_name": "ccaligned_multilingual"}}, "download_checksums": {"http://www.statmt.org/cc-aligned/sentence-aligned/ak_GH-en_XX.tsv.xz": {"num_bytes": 17636, "checksum": "52b9db18c1a19d4c9cd16d28730d7c1a945679302fcec10b79a990b3d1efbb46"}}, "download_size": 17636, "post_processing_size": null, "dataset_size": 50110, "size_in_bytes": 67746}}