Datasets:

Helsinki-NLP
/

qed_amara

- {"ar-ko": {"description": "The QCRI Educational Domain Corpus (formerly QCRI AMARA Corpus) is an open multilingual collection of subtitles for educational videos and lectures collaboratively transcribed and translated over the AMARA web-based platform.\nDeveloped by: Qatar Computing Research Institute, Arabic Language Technologies Group\nThe QED Corpus is made public for RESEARCH purpose only.\nThe corpus is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Copyright Qatar Computing Research Institute. All rights reserved.\n225 languages, 9,291 bitexts\ntotal number of files: 271,558\ntotal number of tokens: 371.76M\ntotal number of sentence fragments: 30.93M\n", "citation": "A. Abdelali, F. Guzman, H. Sajjad and S. Vogel, \"The AMARA Corpus: Building parallel language resources for the educational domain\", The Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC'14). Reykjavik, Iceland, 2014. Pp. 1856-1862. Isbn. 978-2-9517408-8-4.\n", "homepage": "http://opus.nlpl.eu/QED.php", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["ar", "ko"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "qed_amara", "config_name": "ar-ko", "version": {"version_str": "2.0.0", "description": "", "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 79605277, "num_examples": 592589, "dataset_name": "qed_amara"}}, "download_checksums": {"https://object.pouta.csc.fi/OPUS-QED/v2.0a/moses/ar-ko.txt.zip": {"num_bytes": 23410393, "checksum": "4c1cbc25e0a4961bd6b6943581053ba95a7ccb54d999575f7697e817fb0ec633"}}, "download_size": 23410393, "post_processing_size": null, "dataset_size": 79605277, "size_in_bytes": 103015670}, "de-fr": {"description": "The QCRI Educational Domain Corpus (formerly QCRI AMARA Corpus) is an open multilingual collection of subtitles for educational videos and lectures collaboratively transcribed and translated over the AMARA web-based platform.\nDeveloped by: Qatar Computing Research Institute, Arabic Language Technologies Group\nThe QED Corpus is made public for RESEARCH purpose only.\nThe corpus is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Copyright Qatar Computing Research Institute. All rights reserved.\n225 languages, 9,291 bitexts\ntotal number of files: 271,558\ntotal number of tokens: 371.76M\ntotal number of sentence fragments: 30.93M\n", "citation": "A. Abdelali, F. Guzman, H. Sajjad and S. Vogel, \"The AMARA Corpus: Building parallel language resources for the educational domain\", The Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC'14). Reykjavik, Iceland, 2014. Pp. 1856-1862. Isbn. 978-2-9517408-8-4.\n", "homepage": "http://opus.nlpl.eu/QED.php", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["de", "fr"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "qed_amara", "config_name": "de-fr", "version": {"version_str": "2.0.0", "description": "", "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 75861416, "num_examples": 407224, "dataset_name": "qed_amara"}}, "download_checksums": {"https://object.pouta.csc.fi/OPUS-QED/v2.0a/moses/de-fr.txt.zip": {"num_bytes": 26579871, "checksum": "a8c35d7dae4389fa97f06800011727dbaf010983713d1de6f24e602b80f39180"}}, "download_size": 26579871, "post_processing_size": null, "dataset_size": 75861416, "size_in_bytes": 102441287}, "es-it": {"description": "The QCRI Educational Domain Corpus (formerly QCRI AMARA Corpus) is an open multilingual collection of subtitles for educational videos and lectures collaboratively transcribed and translated over the AMARA web-based platform.\nDeveloped by: Qatar Computing Research Institute, Arabic Language Technologies Group\nThe QED Corpus is made public for RESEARCH purpose only.\nThe corpus is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Copyright Qatar Computing Research Institute. All rights reserved.\n225 languages, 9,291 bitexts\ntotal number of files: 271,558\ntotal number of tokens: 371.76M\ntotal number of sentence fragments: 30.93M\n", "citation": "A. Abdelali, F. Guzman, H. Sajjad and S. Vogel, \"The AMARA Corpus: Building parallel language resources for the educational domain\", The Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC'14). Reykjavik, Iceland, 2014. Pp. 1856-1862. Isbn. 978-2-9517408-8-4.\n", "homepage": "http://opus.nlpl.eu/QED.php", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["es", "it"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "qed_amara", "config_name": "es-it", "version": {"version_str": "2.0.0", "description": "", "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 80650321, "num_examples": 447369, "dataset_name": "qed_amara"}}, "download_checksums": {"https://object.pouta.csc.fi/OPUS-QED/v2.0a/moses/es-it.txt.zip": {"num_bytes": 28344317, "checksum": "5206c21f5975a7452b88d190b99e902c543ff78af66e4a31ae9f968940ed3d89"}}, "download_size": 28344317, "post_processing_size": null, "dataset_size": 80650321, "size_in_bytes": 108994638}, "en-ja": {"description": "The QCRI Educational Domain Corpus (formerly QCRI AMARA Corpus) is an open multilingual collection of subtitles for educational videos and lectures collaboratively transcribed and translated over the AMARA web-based platform.\nDeveloped by: Qatar Computing Research Institute, Arabic Language Technologies Group\nThe QED Corpus is made public for RESEARCH purpose only.\nThe corpus is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Copyright Qatar Computing Research Institute. All rights reserved.\n225 languages, 9,291 bitexts\ntotal number of files: 271,558\ntotal number of tokens: 371.76M\ntotal number of sentence fragments: 30.93M\n", "citation": "A. Abdelali, F. Guzman, H. Sajjad and S. Vogel, \"The AMARA Corpus: Building parallel language resources for the educational domain\", The Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC'14). Reykjavik, Iceland, 2014. Pp. 1856-1862. Isbn. 978-2-9517408-8-4.\n", "homepage": "http://opus.nlpl.eu/QED.php", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["en", "ja"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "qed_amara", "config_name": "en-ja", "version": {"version_str": "2.0.0", "description": "", "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 86731218, "num_examples": 497531, "dataset_name": "qed_amara"}}, "download_checksums": {"https://object.pouta.csc.fi/OPUS-QED/v2.0a/moses/en-ja.txt.zip": {"num_bytes": 29836171, "checksum": "9bce5b8a00e93e5753d86307e5554640fd1871e073b7c243f01c7c4806e072dd"}}, "download_size": 29836171, "post_processing_size": null, "dataset_size": 86731218, "size_in_bytes": 116567389}, "he-nl": {"description": "The QCRI Educational Domain Corpus (formerly QCRI AMARA Corpus) is an open multilingual collection of subtitles for educational videos and lectures collaboratively transcribed and translated over the AMARA web-based platform.\nDeveloped by: Qatar Computing Research Institute, Arabic Language Technologies Group\nThe QED Corpus is made public for RESEARCH purpose only.\nThe corpus is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Copyright Qatar Computing Research Institute. All rights reserved.\n225 languages, 9,291 bitexts\ntotal number of files: 271,558\ntotal number of tokens: 371.76M\ntotal number of sentence fragments: 30.93M\n", "citation": "A. Abdelali, F. Guzman, H. Sajjad and S. Vogel, \"The AMARA Corpus: Building parallel language resources for the educational domain\", The Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC'14). Reykjavik, Iceland, 2014. Pp. 1856-1862. Isbn. 978-2-9517408-8-4.\n", "homepage": "http://opus.nlpl.eu/QED.php", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["he", "nl"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "qed_amara", "config_name": "he-nl", "version": {"version_str": "2.0.0", "description": "", "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 51448732, "num_examples": 273165, "dataset_name": "qed_amara"}}, "download_checksums": {"https://object.pouta.csc.fi/OPUS-QED/v2.0a/moses/he-nl.txt.zip": {"num_bytes": 16642865, "checksum": "c3ea124856345d4896a58da92c8f72e3c997d96e3ebeb4ed5bd0ce32800f5472"}}, "download_size": 16642865, "post_processing_size": null, "dataset_size": 51448732, "size_in_bytes": 68091597}}