Datasets:

speechbrain
/

common_language

@@ -1,322 +0,0 @@
----
-pretty_name: Common Language
-annotations_creators:
-- crowdsourced
-language_creators:
-- crowdsourced
-language:
-- ar
-- br
-- ca
-- cnh
-- cs
-- cv
-- cy
-- de
-- dv
-- el
-- en
-- eo
-- es
-- et
-- eu
-- fa
-- fr
-- fy
-- ia
-- id
-- it
-- ja
-- ka
-- kab
-- ky
-- lv
-- mn
-- mt
-- nl
-- pl
-- pt
-- rm
-- ro
-- ru
-- rw
-- sah
-- sl
-- sv
-- ta
-- tr
-- tt
-- uk
-- zh
-language_bcp47:
-- fy-NL
-- rm-sursilv
-- sv-SE
-- zh-CN
-- zh-HK
-- zh-TW
-license:
-- cc-by-4.0
-multilinguality:
-- multilingual
-size_categories:
-- 100K<n<1M
-source_datasets:
-- extended|common_voice
-task_categories:
-- audio-classification
-task_ids:
-- speaker-identification
-dataset_info:
-  features:
-  - name: client_id
-    dtype: string
-  - name: path
-    dtype: string
-  - name: sentence
-    dtype: string
-  - name: age
-    dtype: string
-  - name: gender
-    dtype: string
-  - name: language
-    dtype:
-      class_label:
-        names:
-          0: Arabic
-          1: Basque
-          2: Breton
-          3: Catalan
-          4: Chinese_China
-          5: Chinese_Hongkong
-          6: Chinese_Taiwan
-          7: Chuvash
-          8: Czech
-          9: Dhivehi
-          10: Dutch
-          11: English
-          12: Esperanto
-          13: Estonian
-          14: French
-          15: Frisian
-          16: Georgian
-          17: German
-          18: Greek
-          19: Hakha_Chin
-          20: Indonesian
-          21: Interlingua
-          22: Italian
-          23: Japanese
-          24: Kabyle
-          25: Kinyarwanda
-          26: Kyrgyz
-          27: Latvian
-          28: Maltese
-          29: Mangolian
-          30: Persian
-          31: Polish
-          32: Portuguese
-          33: Romanian
-          34: Romansh_Sursilvan
-          35: Russian
-          36: Sakha
-          37: Slovenian
-          38: Spanish
-          39: Swedish
-          40: Tamil
-          41: Tatar
-          42: Turkish
-          43: Ukranian
-          44: Welsh
-  config_name: full
-  splits:
-  - name: train
-    num_bytes: 7116761
-    num_examples: 22194
-  - name: validation
-    num_bytes: 1855233
-    num_examples: 5888
-  - name: test
-    num_bytes: 1877970
-    num_examples: 5963
-  download_size: 3761951178
-  dataset_size: 10849964
----
-# Dataset Card for common_language
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-## Dataset Description
-- **Homepage:** https://zenodo.org/record/5036977
-- **Repository:** https://github.com/speechbrain/speechbrain/tree/develop/recipes/CommonLanguage
-- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Leaderboard:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-### Dataset Summary
-This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database. The total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language). The dataset has been extracted from CommonVoice to train language-id systems.
-### Supported Tasks and Leaderboards
-The baselines for language-id are available in the SpeechBrain toolkit (see recipes/CommonLanguage):
-https://github.com/speechbrain/speechbrain
-### Languages
-List of included languages:
-```
-Arabic, Basque, Breton, Catalan, Chinese_China, Chinese_Hongkong, Chinese_Taiwan, Chuvash, Czech, Dhivehi, Dutch, English, Esperanto, Estonian, French, Frisian, Georgian, German, Greek, Hakha_Chin, Indonesian, Interlingua, Italian, Japanese, Kabyle, Kinyarwanda, Kyrgyz, Latvian, Maltese, Mongolian, Persian, Polish, Portuguese, Romanian, Romansh_Sursilvan, Russian, Sakha, Slovenian, Spanish, Swedish, Tamil, Tatar, Turkish, Ukranian, Welsh
-```
-## Dataset Structure
-### Data Instances
-A typical data point comprises the `path` to the audio file, and its label `language`. Additional fields include `age`, `client_id`, `gender` and `sentence`.
-```python
-{
-  'client_id': 'itln_trn_sp_175',
-  'path': '/path/common_voice_kpd/Italian/train/itln_trn_sp_175/common_voice_it_18279446.wav',
-  'audio': {'path': '/path/common_voice_kpd/Italian/train/itln_trn_sp_175/common_voice_it_18279446.wav',
-		   'array': array([-0.00048828, -0.00018311, -0.00137329, ...,  0.00079346, 0.00091553,  0.00085449], dtype=float32),
-		   'sampling_rate': 48000},
-  'sentence': 'Con gli studenti è leggermente simile.',
-  'age': 'not_defined',
-  'gender': 'not_defined',
-  'language': 22
-}
-```
-### Data Fields
-`client_id` (`string`): An id for which client (voice) made the recording
-`path` (`string`): The path to the audio file
-- `audio` (`dict`): A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`.
-`language` (`ClassLabel`): The language of the recording (see the `Languages` section above)
-`sentence` (`string`): The sentence the user was prompted to speak
-`age` (`string`): The age of the speaker.
-`gender` (`string`): The gender of the speaker
-### Data Splits
-The dataset is already balanced and split into train, dev (validation) and test sets.
-| Name                              | Train  | Dev    | Test  |
-|:---------------------------------:|:------:|:------:|:-----:|
-| **# of utterances**               | 177552 | 47104  | 47704 |
-| **# unique speakers**             | 11189  | 1297   | 1322  |
-| **Total duration, hr**            | 30.04  | 7.53   | 7.53  |
-| **Min duration, sec**             | 0.86   | 0.98   | 0.89  |
-| **Mean duration, sec**            | 4.87   | 4.61   | 4.55  |
-| **Max duration, sec**             | 21.72  | 105.67 | 29.83 |
-| **Duration per language, min**    | ~40    | ~10    | ~10   |
-## Dataset Creation
-### Curation Rationale
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-### Source Data
-#### Initial Data Collection and Normalization
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-#### Who are the source language producers?
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-### Annotations
-#### Annotation process
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-#### Who are the annotators?
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-### Personal and Sensitive Information
-The dataset consists of people who have donated their voice online.  You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
-## Considerations for Using the Data
-### Social Impact of Dataset
-The dataset consists of people who have donated their voice online.  You agree to not attempt to determine the identity of speakers in the Common Voice dataset.
-### Discussion of Biases
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-### Other Known Limitations
-The Mongolian and Ukrainian languages are spelled as "Mangolian" and "Ukranian" in this version of the dataset.
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-## Additional Information
-### Dataset Curators
-[Ganesh Sinisetty; Pavlo Ruban; Oleksandr Dymov; Mirco Ravanelli](https://zenodo.org/record/5036977#.YdTZ5hPMJ70)
-### Licensing Information
-[Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode)
-### Citation Information
-```
-@dataset{ganesh_sinisetty_2021_5036977,
-  author       = {Ganesh Sinisetty and
-                  Pavlo Ruban and
-                  Oleksandr Dymov and
-                  Mirco Ravanelli},
-  title        = {CommonLanguage},
-  month        = jun,
-  year         = 2021,
-  publisher    = {Zenodo},
-  version      = {0.1},
-  doi          = {10.5281/zenodo.5036977},
-  url          = {https://doi.org/10.5281/zenodo.5036977}
-}
-```
-### Contributions
-Thanks to [@anton-l](https://github.com/anton-l) for adding this dataset.

common_language.py DELETED Viewed

@@ -1,174 +0,0 @@
-# coding=utf-8
-# Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-""" Common Language Dataset"""
-import glob
-import os
-import datasets
-_DATA_URL = "https://zenodo.org/record/5036977/files/CommonLanguage.tar.gz?download=1"
-_CITATION = """\
-@dataset{ganesh_sinisetty_2021_5036977,
-  author       = {Ganesh Sinisetty and
-                  Pavlo Ruban and
-                  Oleksandr Dymov and
-                  Mirco Ravanelli},
-  title        = {CommonLanguage},
-  month        = jun,
-  year         = 2021,
-  publisher    = {Zenodo},
-  version      = {0.1},
-  doi          = {10.5281/zenodo.5036977},
-  url          = {https://doi.org/10.5281/zenodo.5036977}
-}
-"""
-_DESCRIPTION = """\
-This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database.
-The total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language).
-The dataset has been extracted from CommonVoice to train language-id systems.
-"""
-_HOMEPAGE = "https://zenodo.org/record/5036977"
-_LICENSE = "https://creativecommons.org/licenses/by/4.0/legalcode"
-_LANGUAGES = [
-    "Arabic",
-    "Basque",
-    "Breton",
-    "Catalan",
-    "Chinese_China",
-    "Chinese_Hongkong",
-    "Chinese_Taiwan",
-    "Chuvash",
-    "Czech",
-    "Dhivehi",
-    "Dutch",
-    "English",
-    "Esperanto",
-    "Estonian",
-    "French",
-    "Frisian",
-    "Georgian",
-    "German",
-    "Greek",
-    "Hakha_Chin",
-    "Indonesian",
-    "Interlingua",
-    "Italian",
-    "Japanese",
-    "Kabyle",
-    "Kinyarwanda",
-    "Kyrgyz",
-    "Latvian",
-    "Maltese",
-    "Mangolian",
-    "Persian",
-    "Polish",
-    "Portuguese",
-    "Romanian",
-    "Romansh_Sursilvan",
-    "Russian",
-    "Sakha",
-    "Slovenian",
-    "Spanish",
-    "Swedish",
-    "Tamil",
-    "Tatar",
-    "Turkish",
-    "Ukranian",
-    "Welsh",
-]
-class CommonLanguage(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("0.1.0")
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="full", version=VERSION, description="The entire Common Language dataset"),
-    ]
-    def _info(self):
-        features = datasets.Features(
-            {
-                "client_id": datasets.Value("string"),
-                "path": datasets.Value("string"),
-                "audio": datasets.Audio(sampling_rate=48_000),
-                "sentence": datasets.Value("string"),
-                "age": datasets.Value("string"),
-                "gender": datasets.Value("string"),
-                "language": datasets.ClassLabel(names=_LANGUAGES),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        dl_path = dl_manager.download_and_extract(_DATA_URL)
-        archive_path = os.path.join(dl_path, "common_voice_kpd")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"archive_path": archive_path, "split": "train"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"archive_path": archive_path, "split": "dev"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"archive_path": archive_path, "split": "test"},
-            ),
-        ]
-    def _generate_examples(self, archive_path, split):
-        """Yields examples."""
-        csv_path_glob = os.path.join(archive_path, "**", f"{split}.csv")
-        key = 0
-        for csv_path in sorted(glob.glob(csv_path_glob)):
-            with open(csv_path, encoding="utf-16") as fin:
-                next(fin)  # skip the header
-                for line in fin:
-                    client_id, wav_name, sentence, age, gender = line.strip().split("\t")[1:]
-                    language = csv_path.split(os.sep)[-2]
-                    path = os.path.join(os.path.splitext(csv_path)[0], client_id, wav_name)
-                    yield key, {
-                        "client_id": client_id,
-                        "path": path,
-                        "audio": path,
-                        "sentence": sentence,
-                        "age": age,
-                        "gender": gender,
-                        "language": language,
-                    }
-                    key += 1

dataset_infos.json DELETED Viewed

@@ -1 +0,0 @@

- {"full": {"description": "This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database.\nThe total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language).\nThe dataset has been extracted from CommonVoice to train language-id systems.\n", "citation": "@dataset{ganesh_sinisetty_2021_5036977,\n author = {Ganesh Sinisetty and\n Pavlo Ruban and\n Oleksandr Dymov and\n Mirco Ravanelli},\n title = {CommonLanguage},\n month = jun,\n year = 2021,\n publisher = {Zenodo},\n version = {0.1},\n doi = {10.5281/zenodo.5036977},\n url = {https://doi.org/10.5281/zenodo.5036977}\n}\n", "homepage": "https://zenodo.org/record/5036977", "license": "https://creativecommons.org/licenses/by/4.0/legalcode", "features": {"client_id": {"dtype": "string", "id": null, "_type": "Value"}, "path": {"dtype": "string", "id": null, "_type": "Value"}, "sentence": {"dtype": "string", "id": null, "_type": "Value"}, "age": {"dtype": "string", "id": null, "_type": "Value"}, "gender": {"dtype": "string", "id": null, "_type": "Value"}, "language": {"num_classes": 45, "names": ["Arabic", "Basque", "Breton", "Catalan", "Chinese_China", "Chinese_Hongkong", "Chinese_Taiwan", "Chuvash", "Czech", "Dhivehi", "Dutch", "English", "Esperanto", "Estonian", "French", "Frisian", "Georgian", "German", "Greek", "Hakha_Chin", "Indonesian", "Interlingua", "Italian", "Japanese", "Kabyle", "Kinyarwanda", "Kyrgyz", "Latvian", "Maltese", "Mangolian", "Persian", "Polish", "Portuguese", "Romanian", "Romansh_Sursilvan", "Russian", "Sakha", "Slovenian", "Spanish", "Swedish", "Tamil", "Tatar", "Turkish", "Ukranian", "Welsh"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "common_language", "config_name": "full", "version": {"version_str": "0.1.0", "description": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7116761, "num_examples": 22194, "dataset_name": "common_language"}, "validation": {"name": "validation", "num_bytes": 1855233, "num_examples": 5888, "dataset_name": "common_language"}, "test": {"name": "test", "num_bytes": 1877970, "num_examples": 5963, "dataset_name": "common_language"}}, "download_checksums": {"https://zenodo.org/record/5036977/files/CommonLanguage.tar.gz?download=1": {"num_bytes": 3761951178, "checksum": "94bde611700887527c223363bb1d2a22d0a5b55e0e381c5dc74ad67b06a267d7"}}, "download_size": 3761951178, "post_processing_size": null, "dataset_size": 10849964, "size_in_bytes": 3772801142}}

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