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Parent(s):
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Fix data URL and metadata of vivos dataset (#4969)
Browse files* Update data and homepage URLs
* Update citation information
* Fix license information
* Update metadata JSON
* Remove parameter from data URL
Commit from https://github.com/huggingface/datasets/commit/5568fb85e3737f2f67905f238a9998234c97aa05
- README.md +13 -7
- dataset_infos.json +1 -1
- vivos.py +14 -9
README.md
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## Dataset Description
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- **Homepage:** https://
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- **Repository:** [Needs More Information]
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- **Paper:** [A non-expert Kaldi recipe for Vietnamese Speech Recognition System](https://
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- **Leaderboard:** [Needs More Information]
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- **Point of Contact:** [AILAB](mailto:[email protected])
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### Citation Information
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```
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@
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}
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```
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## Dataset Description
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- **Homepage:** https://doi.org/10.5281/zenodo.7068130
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- **Repository:** [Needs More Information]
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- **Paper:** [A non-expert Kaldi recipe for Vietnamese Speech Recognition System](https://aclanthology.org/W16-5207/)
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- **Leaderboard:** [Needs More Information]
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- **Point of Contact:** [AILAB](mailto:[email protected])
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### Citation Information
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```
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@inproceedings{luong-vu-2016-non,
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title = "A non-expert {K}aldi recipe for {V}ietnamese Speech Recognition System",
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author = "Luong, Hieu-Thi and
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Vu, Hai-Quan",
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booktitle = "Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies ({WLSI}/{OIAF}4{HLT}2016)",
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month = dec,
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year = "2016",
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address = "Osaka, Japan",
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publisher = "The COLING 2016 Organizing Committee",
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url = "https://aclanthology.org/W16-5207",
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pages = "51--55",
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}
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```
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dataset_infos.json
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{"default": {"description": "VIVOS is a free Vietnamese speech corpus consisting of 15 hours of recording speech prepared for\nVietnamese Automatic Speech Recognition task.\nThe corpus was prepared by AILAB, a computer science lab of VNUHCM - University of Science, with Prof. Vu Hai Quan is the head of.\nWe publish this corpus in hope to attract more scientists to solve Vietnamese speech recognition problems.\n", "citation": "@
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{"default": {"description": "VIVOS is a free Vietnamese speech corpus consisting of 15 hours of recording speech prepared for\nVietnamese Automatic Speech Recognition task.\nThe corpus was prepared by AILAB, a computer science lab of VNUHCM - University of Science, with Prof. Vu Hai Quan is the head of.\nWe publish this corpus in hope to attract more scientists to solve Vietnamese speech recognition problems.\n", "citation": "@inproceedings{luong-vu-2016-non,\n title = \"A non-expert {K}aldi recipe for {V}ietnamese Speech Recognition System\",\n author = \"Luong, Hieu-Thi and\n Vu, Hai-Quan\",\n booktitle = \"Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies ({WLSI}/{OIAF}4{HLT}2016)\",\n month = dec,\n year = \"2016\",\n address = \"Osaka, Japan\",\n publisher = \"The COLING 2016 Organizing Committee\",\n url = \"https://aclanthology.org/W16-5207\",\n pages = \"51--55\",\n}\n", "homepage": "https://doi.org/10.5281/zenodo.7068130", "license": "CC BY-NC-SA 4.0", "features": {"speaker_id": {"dtype": "string", "id": null, "_type": "Value"}, "path": {"dtype": "string", "id": null, "_type": "Value"}, "audio": {"sampling_rate": 16000, "mono": true, "decode": true, "id": null, "_type": "Audio"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "vivos", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1722002133, "num_examples": 11660, "dataset_name": "vivos"}, "test": {"name": "test", "num_bytes": 86120227, "num_examples": 760, "dataset_name": "vivos"}}, "download_checksums": {"https://s3.amazonaws.com/datasets.huggingface.co/vivos/train/prompts.txt": {"num_bytes": 1075754, "checksum": "d6c6fcbe258d80d0f63e0f87d414b805f6ae11f41d40cdba5454152c3d6f14c0"}, "https://s3.amazonaws.com/datasets.huggingface.co/vivos/test/prompts.txt": {"num_bytes": 56446, "checksum": "ed27898d081eaa41b1e7e38451eb85f7ca06138896b471691510e7bab1187c2e"}, "https://zenodo.org/record/7068130/files/vivos.tar.gz": {"num_bytes": 1474408300, "checksum": "147477f7a7702cbafc2ee3808d1c142989d0dbc8d9fce8e07d5f329d5119e4ca"}}, "download_size": 1475540500, "post_processing_size": null, "dataset_size": 1808122360, "size_in_bytes": 3283662860}}
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vivos.py
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import datasets
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# Find for instance the citation on arxiv or on the dataset repo/website
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_CITATION = """\
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@
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}
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"""
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We publish this corpus in hope to attract more scientists to solve Vietnamese speech recognition problems.
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"""
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_HOMEPAGE = "https://
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_LICENSE = "
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_DATA_URL = "https://
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_PROMPTS_URLS = {
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"train": "https://s3.amazonaws.com/datasets.huggingface.co/vivos/train/prompts.txt",
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import datasets
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_CITATION = """\
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@inproceedings{luong-vu-2016-non,
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title = "A non-expert {K}aldi recipe for {V}ietnamese Speech Recognition System",
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author = "Luong, Hieu-Thi and
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Vu, Hai-Quan",
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booktitle = "Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies ({WLSI}/{OIAF}4{HLT}2016)",
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month = dec,
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year = "2016",
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address = "Osaka, Japan",
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publisher = "The COLING 2016 Organizing Committee",
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url = "https://aclanthology.org/W16-5207",
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pages = "51--55",
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}
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"""
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We publish this corpus in hope to attract more scientists to solve Vietnamese speech recognition problems.
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"""
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_HOMEPAGE = "https://doi.org/10.5281/zenodo.7068130"
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_LICENSE = "CC BY-NC-SA 4.0"
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_DATA_URL = "https://zenodo.org/record/7068130/files/vivos.tar.gz"
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_PROMPTS_URLS = {
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"train": "https://s3.amazonaws.com/datasets.huggingface.co/vivos/train/prompts.txt",
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