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{"en_de": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_de", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 110716293, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 5971731, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5689684, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_de.tsv.tar.gz": {"num_bytes": 25779505, "checksum": "f414705b6197cc9a30cf05f8fc4471c8e99809a2c1f2c1da24a7ba617f42fce2"}}, "download_size": 25779505, "post_processing_size": null, "dataset_size": 122377708, "size_in_bytes": 148157213}, "en_tr": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_tr", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 109474265, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 5914622, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5619271, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_tr.tsv.tar.gz": {"num_bytes": 23659131, "checksum": "9cfb1533cd2226c6ed13fe9462b2ecc5ebc9bb50fc0eb7d0dfe8a68ee4873d42"}}, "download_size": 23659131, "post_processing_size": null, "dataset_size": 121008158, "size_in_bytes": 144667289}, "en_fa": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_fa", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 119490720, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 6423535, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 6103617, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_fa.tsv.tar.gz": {"num_bytes": 26148420, "checksum": "d255d629f604aa32ea06dbb612acf7602221bb0e05ad0d652ad0cf9ba6894532"}}, "download_size": 26148420, "post_processing_size": null, "dataset_size": 132017872, "size_in_bytes": 158166292}, "en_sv-SE": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_sv-SE", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 108557530, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 5845918, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5580039, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_sv-SE.tsv.tar.gz": {"num_bytes": 23671482, "checksum": "0c591c50b3b13db4df9365802c2cf8a69c3db00a39da6306fc44e76a1b25b4b6"}}, "download_size": 23671482, "post_processing_size": null, "dataset_size": 119983487, "size_in_bytes": 143654969}, "en_mn": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_mn", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 123950136, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 6693044, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 6293633, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_mn.tsv.tar.gz": {"num_bytes": 27527436, "checksum": "7ef1b63adb5cb6bbc7a1f3cfa7c2ceab9a83d99aa4727ba894d101b7b320beb7"}}, "download_size": 27527436, "post_processing_size": null, "dataset_size": 136936813, "size_in_bytes": 164464249}, "en_zh-CN": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_zh-CN", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 106490939, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 5735331, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5487808, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_zh-CN.tsv.tar.gz": {"num_bytes": 24280932, "checksum": "7509b7c587326ef094c1e639111aef13f3888d26f707672dadec4d37d8e501d8"}}, "download_size": 24280932, "post_processing_size": null, "dataset_size": 117714078, "size_in_bytes": 141995010}, "en_cy": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_cy", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 109317182, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 5894579, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5626428, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_cy.tsv.tar.gz": {"num_bytes": 24224499, "checksum": "72173329cec05fc70efbf9efa2144a3cc4fbbf3c2e59c01d176a8960f40d0da7"}}, "download_size": 24224499, "post_processing_size": null, "dataset_size": 120838189, "size_in_bytes": 145062688}, "en_ca": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_ca", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 109922455, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 5924345, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5623227, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_ca.tsv.tar.gz": {"num_bytes": 24167201, "checksum": "efbcd8fcc730ce3900adb274d0842ad65980a559de0a840d4a8bcbe94eabf774"}}, "download_size": 24167201, "post_processing_size": null, "dataset_size": 121470027, "size_in_bytes": 145637228}, "en_sl": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_sl", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 107987860, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 5838299, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5537805, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_sl.tsv.tar.gz": {"num_bytes": 23421999, "checksum": "4af4f68bbc89527f0cce69c99721a27ae13ec98faaba38436b742ad3a9999393"}}, "download_size": 23421999, "post_processing_size": null, "dataset_size": 119363964, "size_in_bytes": 142785963}, "en_et": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_et", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 107707024, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 5810185, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5543309, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_et.tsv.tar.gz": {"num_bytes": 23223843, "checksum": "4966b7215adf6d29ad5d9c91030025b245c79c460594c0a0c8fbc2a95916e0ab"}}, "download_size": 23223843, "post_processing_size": null, "dataset_size": 119060518, "size_in_bytes": 142284361}, "en_id": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_id", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 109456930, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 5896953, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5634939, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_id.tsv.tar.gz": {"num_bytes": 22904065, "checksum": "f2948f3473fafe6b437e8b55949b059d21da5b9893bd011f6d650a6bcba98f79"}}, "download_size": 22904065, "post_processing_size": null, "dataset_size": 120988822, "size_in_bytes": 143892887}, "en_ar": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_ar", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 116732296, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 6280190, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5947069, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_ar.tsv.tar.gz": {"num_bytes": 25301304, "checksum": "cd780ad364b8b246b16cf76e4d8e14e21ca29e70b247a10856a923736e973122"}}, "download_size": 25301304, "post_processing_size": null, "dataset_size": 128959555, "size_in_bytes": 154260859}, "en_ta": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_ta", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 146318684, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 7944020, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 7411400, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_ta.tsv.tar.gz": {"num_bytes": 30037790, "checksum": "e95519f0157a779315bf8f75496f71a3fae7be5fec0375ca8fb217d6f1aac6fa"}}, "download_size": 30037790, "post_processing_size": null, "dataset_size": 161674104, "size_in_bytes": 191711894}, "en_lv": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_lv", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 109532576, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 5905197, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5625189, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_lv.tsv.tar.gz": {"num_bytes": 24573927, "checksum": "b3bbbdf9ab66df79a00724145d43669305460c345bce950f0f2e252900b8bd53"}}, "download_size": 24573927, "post_processing_size": null, "dataset_size": 121062962, "size_in_bytes": 145636889}, "en_ja": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "en_ja", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 114741253, "num_examples": 289430, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 6161930, "num_examples": 15531, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5883608, "num_examples": 15531, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.en_ja.tsv.tar.gz": {"num_bytes": 26664247, "checksum": "2308c0b1737cc3ed7662d7e1a748b29da71ea9023681a617bd51a81c11889671"}}, "download_size": 26664247, "post_processing_size": null, "dataset_size": 126786791, "size_in_bytes": 153451038}, "fr_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "fr_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 75792665, "num_examples": 207374, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 5487082, "num_examples": 14760, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5525498, "num_examples": 14760, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.fr_en.tsv.tar.gz": {"num_bytes": 7282129, "checksum": "596d42accc976c607e7b4bd53903a0a03d5036af3b3ea276d7ff188981bb5b2f"}}, "download_size": 7282129, "post_processing_size": null, "dataset_size": 86805245, "size_in_bytes": 94087374}, "de_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "de_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 47678171, "num_examples": 127834, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 5106253, "num_examples": 13511, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 5066500, "num_examples": 13511, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.de_en.tsv.tar.gz": {"num_bytes": 9926797, "checksum": "a64efc469ba7bd392de32538acf49ff05ac7fe83dd705b9a2a07573e63a2fedd"}}, "download_size": 9926797, "post_processing_size": null, "dataset_size": 57850924, "size_in_bytes": 67777721}, "es_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "es_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 29152515, "num_examples": 79015, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 4974593, "num_examples": 13221, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 4983920, "num_examples": 13221, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.es_en.tsv.tar.gz": {"num_bytes": 3202080, "checksum": "aafb7255c00444cbff44ca92a947e16c8f7297f326b332f78b427f4f80240b97"}}, "download_size": 3202080, "post_processing_size": null, "dataset_size": 39111028, "size_in_bytes": 42313108}, "ca_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "ca_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 35902579, "num_examples": 95854, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 4798435, "num_examples": 12730, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 4804941, "num_examples": 12730, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.ca_en.tsv.tar.gz": {"num_bytes": 5021926, "checksum": "acbdbc2b365ac2d192f802b2df2b4796070044e6782193bd0eca5d08e514def1"}}, "download_size": 5021926, "post_processing_size": null, "dataset_size": 45505955, "size_in_bytes": 50527881}, "it_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "it_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 11952709, "num_examples": 31698, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 3393315, "num_examples": 8940, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 3412207, "num_examples": 8951, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.it_en.tsv.tar.gz": {"num_bytes": 1691247, "checksum": "da63a3ddf926a595971412e8fdf702405945ea6f9c6ac9de652a94fd6713183d"}}, "download_size": 1691247, "post_processing_size": null, "dataset_size": 18758231, "size_in_bytes": 20449478}, "ru_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "ru_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 5610194, "num_examples": 12112, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 2819414, "num_examples": 6110, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 2923961, "num_examples": 6300, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.ru_en.tsv.tar.gz": {"num_bytes": 1443078, "checksum": "4d23d3d771234ef1e4afd0fb62231d3e9490cebb4c445997715607feef806fec"}}, "download_size": 1443078, "post_processing_size": null, "dataset_size": 11353569, "size_in_bytes": 12796647}, "zh-CN_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "zh-CN_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2791288, "num_examples": 7085, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 1918796, "num_examples": 4843, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 1908633, "num_examples": 4898, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.zh-CN_en.tsv.tar.gz": {"num_bytes": 587550, "checksum": "7a49bba59f8a05b68385e686a878332fb66080c12d4d85dc02b10f3f935447a4"}}, "download_size": 587550, "post_processing_size": null, "dataset_size": 6618717, "size_in_bytes": 7206267}, "pt_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "pt_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3095722, "num_examples": 9158, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 1133404, "num_examples": 3318, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 1384251, "num_examples": 4023, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.pt_en.tsv.tar.gz": {"num_bytes": 476419, "checksum": "944cf077d47a0ee360fcde34ff42a77f4e898a6446c26ca9402ff543ef91e63b"}}, "download_size": 476419, "post_processing_size": null, "dataset_size": 5613377, "size_in_bytes": 6089796}, "fa_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "fa_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 18015738, "num_examples": 53949, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 1241531, "num_examples": 3445, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 1263271, "num_examples": 3445, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.fa_en.tsv.tar.gz": {"num_bytes": 3864623, "checksum": "1882aea149ce2ae9c553c41c2b7b6c837c4fc648a1a381705107e91679198e17"}}, "download_size": 3864623, "post_processing_size": null, "dataset_size": 20520540, "size_in_bytes": 24385163}, "et_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "et_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 808508, "num_examples": 1782, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 690694, "num_examples": 1576, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 685375, "num_examples": 1571, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.et_en.tsv.tar.gz": {"num_bytes": 246569, "checksum": "e0beadd6013b74efc2642c2289a67a0a3243bdbc5dc470798440b7538207eba0"}}, "download_size": 246569, "post_processing_size": null, "dataset_size": 2184577, "size_in_bytes": 2431146}, "mn_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "mn_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 900588, "num_examples": 2067, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 765543, "num_examples": 1761, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 762577, "num_examples": 1759, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.mn_en.tsv.tar.gz": {"num_bytes": 189710, "checksum": "9bf7633e24a9742211aeeebaee931d22e04a7e91a87e40d4f4957d408aa3dff4"}}, "download_size": 189710, "post_processing_size": null, "dataset_size": 2428708, "size_in_bytes": 2618418}, "nl_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "nl_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2468140, "num_examples": 7108, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 594458, "num_examples": 1699, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 594979, "num_examples": 1699, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.nl_en.tsv.tar.gz": {"num_bytes": 543795, "checksum": "1cd5baf7282e6556d7463d26ae28cc717a64b9b7875bd1b38f226e04498b2336"}}, "download_size": 543795, "post_processing_size": null, "dataset_size": 3657577, "size_in_bytes": 4201372}, "tr_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "tr_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1391148, "num_examples": 3966, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 566458, "num_examples": 1624, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 570760, "num_examples": 1629, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.tr_en.tsv.tar.gz": {"num_bytes": 280904, "checksum": "23130548e8ff9433c74b2193e0bc39d04d2aacb811841f592a7b35d358fad697"}}, "download_size": 280904, "post_processing_size": null, "dataset_size": 2528366, "size_in_bytes": 2809270}, "ar_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "ar_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 743065, "num_examples": 2283, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 575077, "num_examples": 1758, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 552356, "num_examples": 1695, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.ar_en.tsv.tar.gz": {"num_bytes": 109802, "checksum": "a8f7f8e393cc78aea1382e021bd6adf4ff75ee4ae96cddd96c80291fcc8c87cf"}}, "download_size": 109802, "post_processing_size": null, "dataset_size": 1870498, "size_in_bytes": 1980300}, "sv-SE_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "sv-SE_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 698800, "num_examples": 2160, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 438319, "num_examples": 1349, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 517738, "num_examples": 1595, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.sv-SE_en.tsv.tar.gz": {"num_bytes": 96161, "checksum": "f4d9931ef0884eb601e1d6ac7b95893ac0b88534c72c1404c64ae0b4bd2d7c81"}}, "download_size": 96161, "post_processing_size": null, "dataset_size": 1654857, "size_in_bytes": 1751018}, "lv_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "lv_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 747290, "num_examples": 2337, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 360941, "num_examples": 1125, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 519183, "num_examples": 1629, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.lv_en.tsv.tar.gz": {"num_bytes": 88836, "checksum": "c13ae5b001698f772c683450d121c9a9dccdfd0c90184f75429d65e9f846dfe3"}}, "download_size": 88836, "post_processing_size": null, "dataset_size": 1627414, "size_in_bytes": 1716250}, "sl_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "sl_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 602420, "num_examples": 1843, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 165977, "num_examples": 509, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 115414, "num_examples": 360, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.sl_en.tsv.tar.gz": {"num_bytes": 58445, "checksum": "6f2e6f2bc8018fff0466030cd385837e89e482d162bee9d5bca269dcbc7eab69"}}, "download_size": 58445, "post_processing_size": null, "dataset_size": 883811, "size_in_bytes": 942256}, "ta_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "ta_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 534564, "num_examples": 1358, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 150428, "num_examples": 384, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 303843, "num_examples": 786, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.ta_en.tsv.tar.gz": {"num_bytes": 55659, "checksum": "03176367953cde717c1b6c19d21f2a0298f07f3459f5ef24866a44988eaea335"}}, "download_size": 55659, "post_processing_size": null, "dataset_size": 988835, "size_in_bytes": 1044494}, "ja_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "ja_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 396334, "num_examples": 1119, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 226054, "num_examples": 635, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 241310, "num_examples": 684, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.ja_en.tsv.tar.gz": {"num_bytes": 54666, "checksum": "2ca0ca6607a58cee36c72c43b916a5ffb9bc920a766806751aea6e1620a4371f"}}, "download_size": 54666, "post_processing_size": null, "dataset_size": 863698, "size_in_bytes": 918364}, "id_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "id_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 406989, "num_examples": 1243, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 259134, "num_examples": 792, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 277053, "num_examples": 844, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.id_en.tsv.tar.gz": {"num_bytes": 51755, "checksum": "4e6b58e66b5a7cbba543895ee1ffbdf5b49018e1274f7fe5b045ecb6be467095"}}, "download_size": 51755, "post_processing_size": null, "dataset_size": 943176, "size_in_bytes": 994931}, "cy_en": {"description": "\nCoVoST 2, a large-scale multilingual speech translation corpus covering translations from 21 languages into English and from English into 15 languages. The dataset is created using Mozilla\u2019s open source Common Voice database of crowdsourced voice recordings.\n\nNote that in order to limit the required storage for preparing this dataset, the audio\nis stored in the .mp3 format and is not converted to a float32 array. To convert, the audio\nfile to a float32 array, please make use of the `.map()` function as follows:\n\n\n```python\nimport torchaudio\n\ndef map_to_array(batch):\n speech_array, _ = torchaudio.load(batch[\"file\"])\n batch[\"speech\"] = speech_array.numpy()\n return batch\n\ndataset = dataset.map(map_to_array, remove_columns=[\"file\"])\n```\n", "citation": "\n@misc{wang2020covost,\n title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},\n author={Changhan Wang and Anne Wu and Juan Pino},\n year={2020},\n eprint={2007.10310},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n", "homepage": "https://github.com/facebookresearch/covost", "license": "", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "file": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "file", "output": "translation"}, "builder_name": "covost2", "config_name": "cy_en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 432071, "num_examples": 1241, "dataset_name": "covost2"}, "validation": {"name": "validation", "num_bytes": 236107, "num_examples": 690, "dataset_name": "covost2"}, "test": {"name": "test", "num_bytes": 236713, "num_examples": 690, "dataset_name": "covost2"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/covost/covost_v2.cy_en.tsv.tar.gz": {"num_bytes": 875557, "checksum": "73fd49342e27636ab4bd84b3c2762a2803d4ddaa01b98032ba79228335e9560c"}}, "download_size": 875557, "post_processing_size": null, "dataset_size": 904891, "size_in_bytes": 1780448}} |