[ { "path": "CHANGELOG.md", "content": "# Changelog\n\nChangelogs are maintained per dataset type:\n\n- [Scripted Speech (SCS)](datasets/scripted-speech/CHANGELOG.md) -- 25 releases (v1 through v25.0)\n- [Spontaneous Speech (SPS)](datasets/spontaneous-speech/CHANGELOG.md) -- 3 releases (v1.0 through v3.0)\n- [Code Switching (CS)](datasets/code-switching/README.md) -- planned, no releases yet\n\n## Major Changes with March 2026 Releases\n\nThe March 2026 release cycle (SCS v25.0 / SPS v3.0) introduces significant infrastructure and tooling changes across the Common Voice dataset ecosystem. Below is a summary; see each dataset type's changelog for details relevant to dataset consumers.\n\n- **Multi-modality dataset statistics.** This repository (`cv-dataset`) now tracks release statistics for all dataset types (SCS, SPS, CS). Helper scripts (`createStats.js`, `compareReleases.js`, `createDeltaStatistics.js`, `recalculateStats.js`) were refactored to handle both SCS and SPS data formats, with per-type handlers and recursive comparison for nested SPS objects.\n\n- **SCS & SPS Bundler changes** The Scripted Speech bundler is augmented with new `variant` option, and ability to handle licensed datasets. The Spontaneous Speech bundler reached its first production release matching SCS counterpart where possible, with four release types (`full`, `delta`, `variants`, `statistics`) and includes graceful delta release support with passive locale skipping for locales with zero new activity.\n\n- **Embedded QA pipeline.** The SPS bundler now embeds the quality-control-data-pipeline as a `PostProcessCorpus` step. This applies disfluency standardization, quality tagging, and generates a per-locale QA summary JSON included in each release archive.\n\n- **Datasheets integration.** Both SCS and SPS bundlers now generate per-locale datasheets (Markdown documentation) as part of the release pipeline. Templates and community-contributed content are sourced from `cv-datasheets` (schema v2.0.0), and the bundler fills in auto-generated statistics at build time. Datasheets are included in full release archives and also presented at datasets pages on the MDC platform. They merge community-contributed content with auto-generated statistics, and are designed to be human-readable summaries of the dataset for each locale.\n\n- **SCS-SPS data bridge.** The SPS bundler can cross-reference the SCS database to provide demographics data. This enables accent, age, and gender data from SCS profiles to appear in SPS releases when available. Note that SPS was not connected to SCS user profiles at the start, thus older data may have missing demographics.\n" }, { "path": "LICENSE", "content": "Mozilla Public License Version 2.0\n==================================\n\n1. Definitions\n--------------\n\n1.1. \"Contributor\"\n means each individual or legal entity that creates, contributes to\n the creation of, or owns Covered Software.\n\n1.2. \"Contributor Version\"\n means the combination of the Contributions of others (if any) used\n by a Contributor and that particular Contributor's Contribution.\n\n1.3. \"Contribution\"\n means Covered Software of a particular Contributor.\n\n1.4. \"Covered Software\"\n means Source Code Form to which the initial Contributor has attached\n the notice in Exhibit A, the Executable Form of such Source Code\n Form, and Modifications of such Source Code Form, in each case\n including portions thereof.\n\n1.5. \"Incompatible With Secondary Licenses\"\n means\n\n (a) that the initial Contributor has attached the notice described\n in Exhibit B to the Covered Software; or\n\n (b) that the Covered Software was made available under the terms of\n version 1.1 or earlier of the License, but not also under the\n terms of a Secondary License.\n\n1.6. \"Executable Form\"\n means any form of the work other than Source Code Form.\n\n1.7. \"Larger Work\"\n means a work that combines Covered Software with other material, in\n a separate file or files, that is not Covered Software.\n\n1.8. \"License\"\n means this document.\n\n1.9. \"Licensable\"\n means having the right to grant, to the maximum extent possible,\n whether at the time of the initial grant or subsequently, any and\n all of the rights conveyed by this License.\n\n1.10. \"Modifications\"\n means any of the following:\n\n (a) any file in Source Code Form that results from an addition to,\n deletion from, or modification of the contents of Covered\n Software; or\n\n (b) any new file in Source Code Form that contains any Covered\n Software.\n\n1.11. \"Patent Claims\" of a Contributor\n means any patent claim(s), including without limitation, method,\n process, and apparatus claims, in any patent Licensable by such\n Contributor that would be infringed, but for the grant of the\n License, by the making, using, selling, offering for sale, having\n made, import, or transfer of either its Contributions or its\n Contributor Version.\n\n1.12. \"Secondary License\"\n means either the GNU General Public License, Version 2.0, the GNU\n Lesser General Public License, Version 2.1, the GNU Affero General\n Public License, Version 3.0, or any later versions of those\n licenses.\n\n1.13. \"Source Code Form\"\n means the form of the work preferred for making modifications.\n\n1.14. \"You\" (or \"Your\")\n means an individual or a legal entity exercising rights under this\n License. For legal entities, \"You\" includes any entity that\n controls, is controlled by, or is under common control with You. For\n purposes of this definition, \"control\" means (a) the power, direct\n or indirect, to cause the direction or management of such entity,\n whether by contract or otherwise, or (b) ownership of more than\n fifty percent (50%) of the outstanding shares or beneficial\n ownership of such entity.\n\n2. License Grants and Conditions\n--------------------------------\n\n2.1. Grants\n\nEach Contributor hereby grants You a world-wide, royalty-free,\nnon-exclusive license:\n\n(a) under intellectual property rights (other than patent or trademark)\n Licensable by such Contributor to use, reproduce, make available,\n modify, display, perform, distribute, and otherwise exploit its\n Contributions, either on an unmodified basis, with Modifications, or\n as part of a Larger Work; and\n\n(b) under Patent Claims of such Contributor to make, use, sell, offer\n for sale, have made, import, and otherwise transfer either its\n Contributions or its Contributor Version.\n\n2.2. Effective Date\n\nThe licenses granted in Section 2.1 with respect to any Contribution\nbecome effective for each Contribution on the date the Contributor first\ndistributes such Contribution.\n\n2.3. Limitations on Grant Scope\n\nThe licenses granted in this Section 2 are the only rights granted under\nthis License. No additional rights or licenses will be implied from the\ndistribution or licensing of Covered Software under this License.\nNotwithstanding Section 2.1(b) above, no patent license is granted by a\nContributor:\n\n(a) for any code that a Contributor has removed from Covered Software;\n or\n\n(b) for infringements caused by: (i) Your and any other third party's\n modifications of Covered Software, or (ii) the combination of its\n Contributions with other software (except as part of its Contributor\n Version); or\n\n(c) under Patent Claims infringed by Covered Software in the absence of\n its Contributions.\n\nThis License does not grant any rights in the trademarks, service marks,\nor logos of any Contributor (except as may be necessary to comply with\nthe notice requirements in Section 3.4).\n\n2.4. Subsequent Licenses\n\nNo Contributor makes additional grants as a result of Your choice to\ndistribute the Covered Software under a subsequent version of this\nLicense (see Section 10.2) or under the terms of a Secondary License (if\npermitted under the terms of Section 3.3).\n\n2.5. Representation\n\nEach Contributor represents that the Contributor believes its\nContributions are its original creation(s) or it has sufficient rights\nto grant the rights to its Contributions conveyed by this License.\n\n2.6. Fair Use\n\nThis License is not intended to limit any rights You have under\napplicable copyright doctrines of fair use, fair dealing, or other\nequivalents.\n\n2.7. Conditions\n\nSections 3.1, 3.2, 3.3, and 3.4 are conditions of the licenses granted\nin Section 2.1.\n\n3. Responsibilities\n-------------------\n\n3.1. Distribution of Source Form\n\nAll distribution of Covered Software in Source Code Form, including any\nModifications that You create or to which You contribute, must be under\nthe terms of this License. You must inform recipients that the Source\nCode Form of the Covered Software is governed by the terms of this\nLicense, and how they can obtain a copy of this License. You may not\nattempt to alter or restrict the recipients' rights in the Source Code\nForm.\n\n3.2. Distribution of Executable Form\n\nIf You distribute Covered Software in Executable Form then:\n\n(a) such Covered Software must also be made available in Source Code\n Form, as described in Section 3.1, and You must inform recipients of\n the Executable Form how they can obtain a copy of such Source Code\n Form by reasonable means in a timely manner, at a charge no more\n than the cost of distribution to the recipient; and\n\n(b) You may distribute such Executable Form under the terms of this\n License, or sublicense it under different terms, provided that the\n license for the Executable Form does not attempt to limit or alter\n the recipients' rights in the Source Code Form under this License.\n\n3.3. Distribution of a Larger Work\n\nYou may create and distribute a Larger Work under terms of Your choice,\nprovided that You also comply with the requirements of this License for\nthe Covered Software. If the Larger Work is a combination of Covered\nSoftware with a work governed by one or more Secondary Licenses, and the\nCovered Software is not Incompatible With Secondary Licenses, this\nLicense permits You to additionally distribute such Covered Software\nunder the terms of such Secondary License(s), so that the recipient of\nthe Larger Work may, at their option, further distribute the Covered\nSoftware under the terms of either this License or such Secondary\nLicense(s).\n\n3.4. Notices\n\nYou may not remove or alter the substance of any license notices\n(including copyright notices, patent notices, disclaimers of warranty,\nor limitations of liability) contained within the Source Code Form of\nthe Covered Software, except that You may alter any license notices to\nthe extent required to remedy known factual inaccuracies.\n\n3.5. Application of Additional Terms\n\nYou may choose to offer, and to charge a fee for, warranty, support,\nindemnity or liability obligations to one or more recipients of Covered\nSoftware. However, You may do so only on Your own behalf, and not on\nbehalf of any Contributor. You must make it absolutely clear that any\nsuch warranty, support, indemnity, or liability obligation is offered by\nYou alone, and You hereby agree to indemnify every Contributor for any\nliability incurred by such Contributor as a result of warranty, support,\nindemnity or liability terms You offer. You may include additional\ndisclaimers of warranty and limitations of liability specific to any\njurisdiction.\n\n4. Inability to Comply Due to Statute or Regulation\n---------------------------------------------------\n\nIf it is impossible for You to comply with any of the terms of this\nLicense with respect to some or all of the Covered Software due to\nstatute, judicial order, or regulation then You must: (a) comply with\nthe terms of this License to the maximum extent possible; and (b)\ndescribe the limitations and the code they affect. Such description must\nbe placed in a text file included with all distributions of the Covered\nSoftware under this License. Except to the extent prohibited by statute\nor regulation, such description must be sufficiently detailed for a\nrecipient of ordinary skill to be able to understand it.\n\n5. Termination\n--------------\n\n5.1. The rights granted under this License will terminate automatically\nif You fail to comply with any of its terms. However, if You become\ncompliant, then the rights granted under this License from a particular\nContributor are reinstated (a) provisionally, unless and until such\nContributor explicitly and finally terminates Your grants, and (b) on an\nongoing basis, if such Contributor fails to notify You of the\nnon-compliance by some reasonable means prior to 60 days after You have\ncome back into compliance. Moreover, Your grants from a particular\nContributor are reinstated on an ongoing basis if such Contributor\nnotifies You of the non-compliance by some reasonable means, this is the\nfirst time You have received notice of non-compliance with this License\nfrom such Contributor, and You become compliant prior to 30 days after\nYour receipt of the notice.\n\n5.2. If You initiate litigation against any entity by asserting a patent\ninfringement claim (excluding declaratory judgment actions,\ncounter-claims, and cross-claims) alleging that a Contributor Version\ndirectly or indirectly infringes any patent, then the rights granted to\nYou by any and all Contributors for the Covered Software under Section\n2.1 of this License shall terminate.\n\n5.3. In the event of termination under Sections 5.1 or 5.2 above, all\nend user license agreements (excluding distributors and resellers) which\nhave been validly granted by You or Your distributors under this License\nprior to termination shall survive termination.\n\n************************************************************************\n* *\n* 6. Disclaimer of Warranty *\n* ------------------------- *\n* *\n* Covered Software is provided under this License on an \"as is\" *\n* basis, without warranty of any kind, either expressed, implied, or *\n* statutory, including, without limitation, warranties that the *\n* Covered Software is free of defects, merchantable, fit for a *\n* particular purpose or non-infringing. The entire risk as to the *\n* quality and performance of the Covered Software is with You. *\n* Should any Covered Software prove defective in any respect, You *\n* (not any Contributor) assume the cost of any necessary servicing, *\n* repair, or correction. This disclaimer of warranty constitutes an *\n* essential part of this License. No use of any Covered Software is *\n* authorized under this License except under this disclaimer. *\n* *\n************************************************************************\n\n************************************************************************\n* *\n* 7. Limitation of Liability *\n* -------------------------- *\n* *\n* Under no circumstances and under no legal theory, whether tort *\n* (including negligence), contract, or otherwise, shall any *\n* Contributor, or anyone who distributes Covered Software as *\n* permitted above, be liable to You for any direct, indirect, *\n* special, incidental, or consequential damages of any character *\n* including, without limitation, damages for lost profits, loss of *\n* goodwill, work stoppage, computer failure or malfunction, or any *\n* and all other commercial damages or losses, even if such party *\n* shall have been informed of the possibility of such damages. This *\n* limitation of liability shall not apply to liability for death or *\n* personal injury resulting from such party's negligence to the *\n* extent applicable law prohibits such limitation. Some *\n* jurisdictions do not allow the exclusion or limitation of *\n* incidental or consequential damages, so this exclusion and *\n* limitation may not apply to You. *\n* *\n************************************************************************\n\n8. Litigation\n-------------\n\nAny litigation relating to this License may be brought only in the\ncourts of a jurisdiction where the defendant maintains its principal\nplace of business and such litigation shall be governed by laws of that\njurisdiction, without reference to its conflict-of-law provisions.\nNothing in this Section shall prevent a party's ability to bring\ncross-claims or counter-claims.\n\n9. Miscellaneous\n----------------\n\nThis License represents the complete agreement concerning the subject\nmatter hereof. If any provision of this License is held to be\nunenforceable, such provision shall be reformed only to the extent\nnecessary to make it enforceable. Any law or regulation which provides\nthat the language of a contract shall be construed against the drafter\nshall not be used to construe this License against a Contributor.\n\n10. Versions of the License\n---------------------------\n\n10.1. New Versions\n\nMozilla Foundation is the license steward. Except as provided in Section\n10.3, no one other than the license steward has the right to modify or\npublish new versions of this License. Each version will be given a\ndistinguishing version number.\n\n10.2. Effect of New Versions\n\nYou may distribute the Covered Software under the terms of the version\nof the License under which You originally received the Covered Software,\nor under the terms of any subsequent version published by the license\nsteward.\n\n10.3. Modified Versions\n\nIf you create software not governed by this License, and you want to\ncreate a new license for such software, you may create and use a\nmodified version of this License if you rename the license and remove\nany references to the name of the license steward (except to note that\nsuch modified license differs from this License).\n\n10.4. Distributing Source Code Form that is Incompatible With Secondary\nLicenses\n\nIf You choose to distribute Source Code Form that is Incompatible With\nSecondary Licenses under the terms of this version of the License, the\nnotice described in Exhibit B of this License must be attached.\n\nExhibit A - Source Code Form License Notice\n-------------------------------------------\n\n This Source Code Form is subject to the terms of the Mozilla Public\n License, v. 2.0. If a copy of the MPL was not distributed with this\n file, You can obtain one at http://mozilla.org/MPL/2.0/.\n\nIf it is not possible or desirable to put the notice in a particular\nfile, then You may include the notice in a location (such as a LICENSE\nfile in a relevant directory) where a recipient would be likely to look\nfor such a notice.\n\nYou may add additional accurate notices of copyright ownership.\n\nExhibit B - \"Incompatible With Secondary Licenses\" Notice\n---------------------------------------------------------\n\n This Source Code Form is \"Incompatible With Secondary Licenses\", as\n defined by the Mozilla Public License, v. 2.0.\n" }, { "path": "README.md", "content": "# Common Voice Datasets\n\nThis repo contains release details and metadata for the [Common Voice](https://commonvoice.mozilla.org) datasets. Please visit the [Mozilla Data Collective Common Voice section](https://mozilladatacollective.com/organization/cmfh0j9o10006ns07jq45h7xk) to download the latest datasets.\n\n## Dataset Types\n\nCommon Voice collects voice data through multiple modalities. Each dataset type has its own release information, data structure, and documentation.\n\n| Type | Alias | Status | Releases | Latest (2026-03) | Languages |\n| -------------------------------------------------- | ----- | ------ | -------: | :--------------: | --------: |\n| [Scripted Speech](datasets/scripted-speech/) | SCS | Active | 25 | v25.0 | 290 |\n| [Spontaneous Speech](datasets/spontaneous-speech/) | SPS | Active | 3 | v3.0 | 72 |\n| [Code Switching](datasets/code-switching/) | CS | Alpha | -- | -- | -- |\n\nSee each dataset type's documentation for detailed information about data structures, fields in metadata files (`.tsv`), archive contents, and release changelogs. Note that the \"date\" in releases represents the cut-off date for data collection and validation, not the actual release date of the dataset.\n\n## Data Pipeline\n\n```mermaid\nflowchart LR\n subgraph SCS[\"Scripted Speech (SCS)\"]\n SCS_DB[(\"DB\")]\n SCS_GCS[\"GCS\"]\n end\n subgraph SCS_BUN[\"SCS Bundler\"]\n CC[\"CorporaCreator\"]\n end\n subgraph SCS_BUN2[\"SCS Bundler\"]\n UP[\"Uploader\"]\n end\n\n DSH[\"cv-datasheets\"]\n\n subgraph SPS[\"Spontaneous Speech (SPS)\"]\n SPS_DB[(\"DB\")]\n SPS_GCS[\"GCS\"]\n end\n subgraph SPS_BUN[\"SPS Bundler\"]\n QA[\"QA Pipeline\"]\n end\n\n BUN_GCS[\"GCS\n datasets\n datasheets\n stats\"]\n\n MDC[[\"MDC\n downloads\"]]\n CDS[[\"cv-dataset ◀\"]]\n\n SCS_DB -->|data| SCS_BUN\n SCS_GCS -->|clips| SCS_BUN\n DSH -->|JSON| SCS_BUN\n DSH -->|JSON| SPS_BUN\n SPS_DB -->|data| SPS_BUN\n SPS_GCS -->|audio| SPS_BUN\n SCS_BUN --> BUN_GCS\n SPS_BUN --> BUN_GCS\n BUN_GCS -->|datasets| UP\n BUN_GCS -->|datasheets| UP\n UP -->|API| MDC\n BUN_GCS -->|stats| CDS\n\n style CDS fill:#1a73e8,color:#ffffff,stroke:#1558b0,stroke-width:2px\n```\n\n## Overview\n\n### Scripted Speech (SCS)\n\n```mermaid\n---\nconfig:\n xyChart:\n width: 900\n height: 400\n---\nxychart-beta\n title \"Scripted Speech: Total & Validated Hours\"\n x-axis [\"1\",\"2\",\"3\",\"4\",\"5.1\",\"6.1\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16.1\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\"]\n y-axis \"Hours\" 0 --> 42000\n bar [1368,2366,2454,4257,7226,9283,13905,18243,20217,20817,24231,26119,27141,28117,28750,30328,31175,32121,32584,33154,33534,33815,35921,38932,41792]\n bar [1096,1872,1979,3401,5671,7335,11192,14122,14973,15234,16429,17127,17689,18651,19159,19915,20408,20943,21593,22106,22344,22640,24600,25886,28377]\n```\n\nFor details see: [Scripted Speech documentation](datasets/scripted-speech/)\n\n### Spontaneous Speech (SPS)\n\n```mermaid\n---\nconfig:\n xyChart:\n width: 600\n height: 350\n---\nxychart-beta\n title \"Spontaneous Speech: Total vs Validated Hours\"\n x-axis [\"v1.0\",\"v2.0\",\"v3.0\"]\n y-axis \"Hours\" 0 --> 600\n bar [428,454,508]\n bar [263,268,269]\n```\n\nFor details see: [Spontaneous Speech documentation](datasets/spontaneous-speech/)\n\n## Dataset Access\n\nYou can download the Common Voice datasets from the [Mozilla Data Collective](https://mozilladatacollective.com/) (MDC) platform:\n\n- [Directly from the browser](https://mozilladatacollective.com/organization/cmfh0j9o10006ns07jq45h7xk)\n- [Using the MDC API](https://mozilladatacollective.com/api-reference)\n- [Using the MDC Python SDK](https://github.com/Mozilla-Data-Collective/datacollective-python) to directly load the datasets as pandas DataFrame in your Python codebase\n\n## Generating Dataset Statistics\n\nHelper scripts are available in the [helpers/](helpers/) directory for processing bundler output into dataset statistics. See [helpers/README.md](helpers/README.md) for detailed usage and examples.\n\nAll helper scripts support multiple dataset types via the first argument:\n\n```bash\nnode helpers/createStats.js \nnode helpers/compareReleases.js \nnode helpers/createDeltaStatistics.js \nnode helpers/recalculateStats.js \n```\n\n## Citation\n\nIf you use the data in a published academic work we would appreciate if you cite the following article:\n\n- Ardila, R., Branson, M., Davis, K., Henretty, M., Kohler, M., Meyer, J., Morais, R., Saunders, L., Tyers, F. M. and Weber, G. (2020) \"[Common Voice: A Massively-Multilingual Speech Corpus](https://arxiv.org/abs/1912.06670)\". _Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)._ pp. 4211--4215\n\n```bibtex\n@inproceedings{commonvoice:2020,\n author = {Ardila, R. and Branson, M. and Davis, K. and Henretty, M. and Kohler, M. and Meyer, J. and Morais, R. and Saunders, L. and Tyers, F. M. and Weber, G.},\n title = {Common Voice: A Massively-Multilingual Speech Corpus},\n booktitle = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)},\n pages = {4211--4215},\n year = 2020\n}\n```\n\n## Feedback\n\nPlease only use this repo to provide feedback on **technical issues** with the dataset, such as file corruptions, problems with the partitions, and so on. For more expansive discussions, please join us in [Discourse](https://discourse.mozilla.org/c/voice) or [Matrix](https://chat.mozilla.org/#/room/#common-voice:mozilla.org).\n" }, { "path": "datasets/code-switching/README.md", "content": "# Code Switching (CS)\n\nCode Switching is an upcoming Common Voice modality where contributors produce speech that naturally switches between two or more languages within a single utterance. This is a subproject within the [Spontaneous Speech](https://github.com/common-voice/spontaneous-speech) repository, currently gated to alpha testers.\n\n**Status**: Alpha test phase -- no releases yet.\n\nThis directory will contain release statistics once the first Code Switching dataset is published.\n" }, { "path": "datasets/scripted-speech/CHANGELOG.md", "content": "# Scripted Speech (SCS) Changelog\n\n## Current Release\n\n### [Corpus 25.0](cv-corpus-25.0-2026-03-09.json)\n\nRegularly scheduled dataset release Q1 2026.\n\n- **Date released**: 18 March 2026\n- **Clip cut-off date**: 09 March 2026\n- **Total hours**: 41,792\n- **Total validated hours**: 28,377\n- **Number of languages**: 290\n\n**New languages since last major release**: Croatian (`hr`)\n\n#### Dataset Changes in Corpus 25.0\n\n- added `README.md` datasheet per locale -- a Markdown document with language description, dataset statistics, demographic breakdowns, and community context (generated from [cv-datasheets](https://github.com/common-voice/cv-datasheets), schema v2.0.0)\n- added `variant` column to `validated_sentences.tsv` (after `sentence`), containing the language variant token for the sentence (empty if none)\n- added `variant` column to `unvalidated_sentences.tsv` (after `sentence`)\n- added `up_votes`, `down_votes`, and `status` columns to `unvalidated_sentences.tsv`\n- `status` is `pending` (not-yet-validated) or `rejected` (when `down_votes` >= 2 and `down_votes` > `up_votes`)\n- the `unvalidated_sentences.tsv` description is corrected: it contains sentences that have not reached the validated threshold, not only sentences without any votes\n- added `variant` and `locale` columns to [Corpora Creator](https://github.com/common-voice/CorporaCreator) clip files\n\n## Past Releases\n\n### [Corpus 24.0](cv-corpus-24.0-2025-12-05.json)\n\nRegularly scheduled dataset release Q4 2025.\n\n- **Date released**: 17 December 2025\n- **Clip cut-off date**: 05 December 2025\n- **Total hours**: 38,932\n- **Total validated hours**: 25,886\n- **Number of languages**: 289\n\n**New languages since last major release**: Sorbian, Lower (`dsb`), Alsatian (`gsw`), Laz (`lzz`)\n\n### [Corpus 23.0](cv-corpus-23.0-2025-09-05.json)\n\nRegularly scheduled dataset release Q3 2025.\n\n- **Date released**: 17 September 2025\n- **Clip cut-off date**: 05 September 2025\n- **Total hours**: 35,921\n- **Total validated hours**: 24,600\n- **Number of languages**: 286\n\n**New languages since last major release**: Adamawa Fulfulde (`fub`), Adja (`ajg`), Adyghe (`ady`), Aragonese (`an`), Asheninka Perene, Asheninka South Ucayali, Atayal (`tay`), Baatonum (`bba`), Bafia (`ksf`), Bafut (`bfd`), Bakoko, Balti (`bft`), Bamun (`bax`), Bamvele (`beb`), Bankon (`abb`), Baoule (`bci`), Batanga (`bnm`), Bateri (`btv`), Borgu Fulfulde (`fue`), Brahui, Brushaski (`bsk`), Bulu (`bum`), Bunun (`bnn`), Cameroon Pidgin (`wes`), Central Alaskan Yup'ik (`esu`), Central Puebla Nahuatl (`ncx`), Central Tarahumara, Chokwe, Copainalá Zoque (`zoc`), Cornish (`kw`), Dagbani (`dag`), Dameli (`dml`), Dargwa (`dar`), Dawoodi (`dmk`), Dhatki, Duala (`dua`), Eastern Balochi (`bgp`), Ebrie (`ebr`), Ekoti, Eton (`eto`), Ewondo (`ewo`), Fang (`fan`), Fe'efe'e (`fmp`), Gawarbaiti (`gwt`), Gawri (`gwc`), Ghomala (`bbj`), Goaria, Guidar, Guiziga, Gujari (`gju`), Gurgula (`ggg`), Hazargi, Huarijio (`var`), Huautla Mazatec (`mau`), Ibibio (`ibb`), Indus Kohistani (`mvy`), Iñupiaq (`ipk`), Jaqaru (`jqr`), Kabardian (`kbd`), Kachhi, Kalasha (`kls`), Kalkoti (`xka`), Kateviri (`bsh`), Khetrani (`xhe`), Khowar (`khw`), Kichwa (`qvi`), Kihemba, Kirombo, Kohistani Shina (`plk`), Kom (`bkm`), Kotokoli, Kunabembe, Kwasio, Lassi (`lss`), Loarki, Loja Highland Kichwa, Losso, Mada (`mxu`), Malay (`ms`), Manx (`gv`), Massa, Matses, Mbo (`mbo`), Mbum, Medumba (`byv`), Mengambo, Mina, Mingrelian (`xmf`), Mokpwe (`bri`), Moussey, Mpiemo, Mundang, Mungaka, Musgum, Ngiembon (`nnh`), Ngomba, Ngombale, Nigerian Pidgin English (`pcm`), Northern Hindko (`hno`), Northwest Gbaya (`gya`), Nuasue, Nyungwe, Nüpode Huitoto, Oadki, Orizaba Nahuatl, Ormuri (`oru`), Ouldémé, Pahari-Pothwari, Paiwan (`pwn`), Pakistani Marwari, Palula (`phl`), Parkari Koli, Puno Quechua (`qxp`), Quechua Ambo-Pasco (`qva`), Quechua Arequipa-La Unión (`qxu`), Quechua Cajatambo (`qvl`), Quechua Chiquián (`qxa`), Quechua Corongo Ancash (`qwa`), Quechua Jauja Wanka (`qxw`), Quechua Pasco Santa Ana de Tusi (`qxt`), Quechua Santiago del Estero, Quechua Sihuas Ancash (`qws`), Quechua Yanahuanca, Quechua Yauyos (`qux`), Rukai (`dru`), Sakizaya (`szy`), Sansi, Seediq (`trv`), Seri (`sei`), Shina (`scl`), Sindhi Bhili, Siswati (`ss`), Southern Pastaza Quechua (`qup`), Svan (`sva`), Tepeuxila Cuicatec (`cux`), Teutila Cuicatec (`cut`), Tlingit, Torwali (`trw`), Tshiluba, Tuki, Tunen (`tvu`), Tupuri (`tui`), Tush (`bbl`), Ushojo (`ush`), Wadiyara Koli, Wakhi (`wbl`), Western Highland Purepecha (`pua`), Yadgha, Yaqui (`yaq`)\n\n### [Corpus 22.0](cv-corpus-22.0-2025-06-20.json)\n\nRegularly scheduled dataset release Q2 2025.\n\n- **Date released**: 25 June 2025\n- **Clip cut-off date**: 20 June 2025\n- **Total hours**: 33,815\n- **Total validated hours**: 22,640\n- **Number of languages**: 137\n\n**New languages since last major release**: Aromanian (`rup`), Tajik (`tg`), Tshivenda (`ve`)\n\n### [Corpus 21.0](cv-corpus-21.0-2025-03-14.json)\n\nRegularly scheduled dataset release Q1 2025.\n\n- **Date released**: 19 March 2025\n- **Clip cut-off date**: 14 March 2025\n- **Total hours**: 33,534\n- **Total validated hours**: 22,344\n- **Number of languages**: 134\n\n**New languages since last major release**: Norwegian Bokmål (`nb-NO`)\n\n### [Corpus 20.0](cv-corpus-20.0-2024-12-06.json)\n\nRegularly scheduled dataset release Q4 2024.\n\n- **Date released**: 11 December 2024\n- **Clip cut-off date**: 06 December 2024\n- **Total hours**: 33,154\n- **Total validated hours**: 22,106\n- **Number of languages**: 133\n\n**New languages since last major release**: IsiNdebele (South) (`nr`), Southern Sotho (`st`)\n\n### [Corpus 19.0](cv-corpus-19.0-2024-09-13.json)\n\nRegularly scheduled dataset release Q3 2024.\n\n- **Date released**: 18 September 2024\n- **Clip cut-off date**: 13 September 2024\n- **Total hours**: 32,584\n- **Total validated hours**: 21,593\n- **Number of languages**: 131\n\n**New languages since last major release**: Sindhi (`sd`), Xitsonga (`ts`)\n\n### [Corpus 18.0](cv-corpus-18.0-2024-06-14.json)\n\n#### Dataset Changes in Corpus 18.0\n\n- the `sentence_domain` column contains now up to three domains separated by a comma, e.g. `general,finance,news_current_affairs`\n- the domains `agriculture`, `automotive` and `food_service_retail` have been renamed to `agriculture_food`, `automotive_transport`, `service_retail` respectively\n\n### [Corpus 17.0](cv-corpus-17.0-2024-03-15.json)\n\n#### Dataset Changes in Corpus 17.0\n\n- added `unvalidated_sentences.tsv` and `validated_sentences.tsv`\n- `unvalidated_sentences.tsv` contains sentences that have not reached the validated threshold (including those with votes but insufficient up votes), the columns are: `sentence_id`, `sentence`, `sentence_domain` and `source`\n- `validated_sentences.tsv` contains sentences that have two or more up votes, it has two additional columns: `is_used` and `clips_count`\n- `is_used`: indicates whether or not the sentence is used on the speak page\n- `clips_count`: the number of clips that are associated with the sentence\n- added `sentence_id` and `sentence_domain` to the [Corpora Creator](https://github.com/common-voice/CorporaCreator) files\n- the following [sentence domains](https://github.com/common-voice/common-voice/blob/f820e0fa3ec00fc6d49dae7e31bcebf9eb24878b/common/taxonomies.ts#L35) are supported\n\n### [Corpus 16.1](cv-corpus-16.1-2023-12-06.json)\n\n#### Dataset Changes in Corpus 16.1\n\n- changed `times.txt` to `clip_durations.tsv` for consistency\n- `clip_durations.tsv` contains two columns: `clip` and `duration[ms]`\n\n### [Corpus 14.0](cv-corpus-14.0-2023-06-23.json)\n\n#### Dataset Changes in Corpus 14.0\n\n- added `times.txt` containing mp3 filename and duration in ms\n\n### [Corpus 13.0](cv-corpus-13.0-2023-03-09.json)\n\n#### Dataset Changes in Corpus 13.0\n\n- added `variant` column to [Corpora Creator](https://github.com/common-voice/CorporaCreator) files\n\n### [Corpus 10.0](cv-corpus-10.0-2022-07-04.json)\n\n#### Dataset Changes in Corpus 10.0\n\n- introduced delta segments\n- delta segment tar file naming is `cv-corpus-{version}-delta-{YYYY-MM-DD}-{locale}.tar.gz`\n- delta segments contain the same files except for the training splits, i.e. `dev.tsv`, `test.tsv`, `train.tsv`\n\n### [Corpus 9.0](cv-corpus-9.0-2022-04-27.json)\n\nRegularly scheduled dataset release Q1 2022.\n\n- **Date released**: 27 April 2022\n- **Clip cut-off date**: 07 April 2022\n- **Total hours**: 20,217\n- **Total validated hours**: 14,973\n- **Number of languages**: 93\n\n**New languages since last major release**: Tigre (`tig`), Taiwanese (Minnan) (`nan-tw`), Meadow Mari (`mhr`), Bengali (`bn`), Toki Pona (`tok`), Cantonese (`yue`)\n\n### [Corpus 8.0](cv-corpus-8.0-2022-01-19.json)\n\nRegularly scheduled dataset release.\n\n- **Date released**: 26 January 2022\n- **Clip cut-off date**: 19 January 2022\n- **Total hours**: 18,243\n- **Total validated hours**: 14,122\n- **Number of languages**: 87\n\n**New languages since last major release**: Igbo (`ig`), Marathi (`mr`), Danish (`da`), Norwegian Nynorsk (`nn-NO`), Central Kurdish (`ckb`), Malayalam (`ml`), Swahili (`sw`), Erzya (`myv`), Moksha (`mdf`), Macedonian (`mk`), Santali (Ol Chiki) (`sat`)\n\nNote: minor variations in the validated hours of minor dot releases reflects the fact that labeling/validation happens on a different schedule than recording. In the timespan between dot releases the community will usually have performed additional validations, even if the clip cut-off date remains the same.\n\n### [Corpus 7.0](cv-corpus-7.0-2021-07-21.json)\n\nRegularly scheduled dataset release for H1 of 2021.\n\n- **Date released**: 28 July 2021\n- **Clip cut-off date**: 21 July 2021\n- **Total hours**: 13,905\n- **Total validated hours**: 11,192\n- **Number of languages**: 76\n\n**New languages since last major release**: Basaa (`bas`), Slovak (`sk`), Kurmanji Kurdish (`kmr`), Bulgarian (`bg`), Kazakh (`kk`), Bashkir (`ba`), Galician (`gl`), Uyghur (`ug`), Armenian (`hy-AM`), Belarusian (`be`), Urdu (`ur`), Guarani (`gn`), Serbian (`sr`), Uzbek (`uz`), Azerbaijani (`az`), Hausa (`ha`)\n\n#### Dataset Changes in Corpus 7.0\n\n- changed tar file naming to `cv-corpus-{version}-{YYYY-MM-DD}-{locale}.tar.gz`\n\n### [Singleword Segment 7.0](cv-corpus-7.0-singleword.json)\n\nUpdate to Singleword Segment 6.1.\n\n- **Date released**: 28 July 2021\n- **Clip cut-off date**: 21 July 2021\n- **Total hours**: 141\n- **Total validated hours**: 82\n- **Number of languages**: 34\n\n### [Corpus 6.1](cv-corpus-6.1-2020-12-11.json)\n\nCorrection to Corpus 6.0, which had a bug that did not properly attribute demographics information.\n\n- **Date released**: 22 Dec 2020\n- **Clip cut-off date**: 11 Dec 2020\n- **Total hours**: 9,283\n- **Total validated hours**: 7,335\n- **Number of languages**: 60\n\n### [Singleword Segment 6.1](cv-corpus-6.1-singleword.json)\n\nCorrection to Singleword Segment 6.0, which had a bug that did not properly attribute demographics information.\n\n- **Date released**: 22 Dec 2020\n- **Clip cut-off date**: 11 Dec 2020\n- **Total hours**: 131\n- **Total validated hours**: 77\n- **Number of languages**: 31\n\n### [Corpus 6.0](cv-corpus-6.0-2020-12-11.json)\n\nRegularly scheduled dataset release for H2 of 2020.\n\n- **Date released**: 22 Dec 2020\n- **Clip cut-off date**: 11 Dec 2020\n- **Total hours**: 9,261\n- **Total validated hours**: 7,327\n- **Number of languages**: 60\n\n**New languages since last major release**: Hindi (`hi`), Lithuanian (`lt`), Luganda (`lg`), Thai (`th`), Finnish (`fi`), Hungarian (`hu`)\n\n### [Singleword Segment 6.0](cv-corpus-6.0-singleword.json)\n\nUpdate to Singleword Segment 5.1.\n\n- **Date released**: 22 Dec 2020\n- **Clip cut-off date**: 11 Dec 2020\n- **Total hours**: 131\n- **Total validated hours**: 77\n- **Number of languages**: 31\n\n### [Corpus 5.1](cv-corpus-5.1-2020-06-22.json)\n\nCorrection to Corpus 5.0, which unintentionally altered the column order of the test/train/dev sets, and included some redundant metadata entries for clips that didn't actually have valid audio.\n\n- **Date released**: 14 July 2020\n- **Clip cut-off date**: 22 June 2020\n- **Total hours**: 7,226\n- **Total validated hours**: 5,671\n- **Number of languages**: 54\n\n### [Singleword Segment 5.1](cv-corpus-5.1-singleword.json)\n\nCorrection to Singleword Segment 5.0, which was still optimizing for no repeated sentences during segmentation and thus resulted in disproportionately small test/dev/train sets.\n\n- **Date released**: 16 September 2020\n- **Clip cut-off date**: 22 June 2020\n- **Total hours**: 120\n- **Total validated hours**: 64\n- **Number of languages**: 18\n\n### [Corpus 5.0](cv-corpus-5-2020-06-22.json)\n\nRegularly scheduled dataset release for H1 of 2020. This release introduced sha256 checksum values for each dataset.\n\n- **Date released**: 30 June 2020\n- **Clip cut-off date**: 22 June 2020\n- **Total hours**: 7,226\n- **Total validated hours**: 5,591\n- **Number of languages**: 54\n\n**New languages since last major release**: Sorbian, Upper (`hsb`), Romanian (`ro`), Frisian (`fy-NL`), Czech (`cs`), Greek (`el`), Romansh Vallader (`rm-vallader`), Polish (`pl`), Assamese (`as`), Ukrainian (`uk`), Maltese (`mt`), Georgian (`ka`), Punjabi (`pa-IN`), Odia (`or`), Vietnamese (`vi`)\n\n#### Dataset Changes in Corpus 5.0\n\n- changed archive folder structure: dataset release archive now contains a locale folder\n\n ```txt\n cv-corpus-5.1-2020-06-22/\n └── tr/\n ├── clips/\n ├── dev.tsv\n ├── invalidated.tsv\n ├── other.tsv\n ├── reported.tsv\n ├── test.tsv\n ├── train.tsv\n └── validated.tsv\n ```\n\n- added `reported.tsv` containing sentences that have been reported by the community\n- added `locale` and `segment` columns to the [Corpora Creator](https://github.com/common-voice/CorporaCreator) files\n\n### [Singleword Segment 5.0](cv-corpus-5-singleword.json)\n\nThis contains all of the voice data collected as part of the Common Voice pilot target segment effort collecting single-word utterances for a benchmark experiment.\n\n- **Date released**: 30 June 2020\n- **Clip cut-off date**: 22 June 2020\n- **Total hours**: 120\n- **Total validated hours**: 64\n- **Number of languages**: 18\n\n### [Corpus 4](cv-corpus-4-2019-12-10.json)\n\nRegularly scheduled dataset release for H2 of 2019.\n\n- **Date released**: 14 Jan 2020\n- **Clip cut-off date**: 10 Dec 2019\n- **Total hours**: 4,257\n- **Total validated hours**: 3,401\n- **Number of languages**: 40\n\n**New languages since last major release**: Abkhaz (`ab`), Arabic (`ar`), Chinese (Hong Kong) (`zh-HK`), Indonesian (`id`), Interlingua (`ia`), Japanese (`ja`), Latvian (`lv`), Portuguese (`pt`), Romansh Sursilvan (`rm-sursilv`), Tamil (`ta`), Votic (`vot`)\n\n#### Dataset Changes in Corpus 4.0\n\n- changed tar file naming from `cv-corpus-{version}_{locale}.tar.tar` to `cv-corpus-{version}-{YYYY-MM-DD}_{locale}.tar.tar`\n\n### [Corpus 3](cv-corpus-3.json)\n\nMinor update to Corpus 2 to correct an issue with file-naming.\n\n- **Date released**: 24 June 2019\n- **Clip cut-off date**: 24 June 2019 (est)\n- **Total hours**: 2,454\n- **Total validated hours**: 1,979\n- **Number of languages**: 29\n\n**New languages since last major release**: Persian (`fa`)\n\n### [Corpus 2](cv-corpus-2.json)\n\nRegularly scheduled dataset release for H1 of 2019.\n\n- **Date released**: 11 June 2019\n- **Clip cut-off date**: 11 June 2019 (est)\n- **Total hours**: 2,366\n- **Total validated hours**: 1,872\n- **Number of languages**: 28\n\n**New languages since last major release**: Basque (`eu`), Spanish (`es`), Chinese (China) (`zh-CN`), Mongolian (`mn`), Sakha/Yakut (`sah`), Dhivehi (`dv`), Kinyarwanda (`rw`), Swedish (`sv-SE`), Russian (`ru`)\n\n### [Corpus 1](cv-corpus-1.json)\n\nFirst multilingual release.\n\n- **Date released**: 25 February 2019\n- **Clip cut-off date**: 25 February 2019 (est)\n- **Total hours**: 1,368\n- **Total validated hours**: 1,096\n- **Number of languages**: 19\n\n**New languages**: German (`de`), French (`fr`), Welsh (`cy`), Breton (`br`), Chuvash (`cv`), Turkish (`tr`), Tatar (`tt`), Kyrgyz (`ky`), Irish (`ga-IE`), Kabyle (`kab`), Catalan (`ca`), Chinese (Taiwan) (`zh-TW`), Slovenian (`sl`), Italian (`it`), Dutch (`nl`), Hakha Chin (`cnh`), Esperanto (`eo`), Estonian (`et`)\n\n#### Initial Dataset Structure\n\n- the initial dataset release folder structure:\n\n ```txt\n cv-corpus-1_{locale}/\n ├── clips/\n ├── dev.tsv\n ├── invalidated.tsv\n ├── other.tsv\n ├── test.tsv\n ├── train.tsv\n └── validated.tsv\n ```\n\n- to get more information about the files included in the dataset release, please see [Corpora Creator](https://github.com/common-voice/CorporaCreator)\n- columns: `client_id`, `path`, `sentence`, `up_votes`, `down_votes`, `age`, `gender`, `accent`\n" }, { "path": "datasets/scripted-speech/README.md", "content": "# Scripted Speech (SCS)\n\nScripted Speech is the classic Common Voice dataset. Contributors read pre-written sentences aloud, and the community validates the recordings. New datasets are released approximately every quarter.\n\nAll voice contributions are released as part of datasets, regardless of validation status. From v25.0 on, clips that fail quality checks (over-length, corrupted, or missing audio files) are excluded during bundling; a per-locale problem clip report is included with each release for transparency. The clips are currently bundled using the embedded bundler in the public repo [Common Voice - Bundler](https://github.com/common-voice/common-voice/tree/main/bundler).\n\n## Release History\n\nSee the full [Changelog](CHANGELOG.md) for detailed release notes and new languages per release.\n\n### Total and Validated Hours\n\n```mermaid\n---\nconfig:\n xyChart:\n width: 900\n height: 400\n---\nxychart-beta\n title \"Scripted Speech: Total & Validated Hours\"\n x-axis [\"1\",\"2\",\"3\",\"4\",\"5.1\",\"6.1\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16.1\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\"]\n y-axis \"Hours\" 0 --> 42000\n bar [1368,2366,2454,4257,7226,9283,13905,18243,20217,20817,24231,26119,27141,28117,28750,30328,31175,32121,32584,33154,33534,33815,35921,38932,41792]\n bar [1096,1872,1979,3401,5671,7335,11192,14122,14973,15234,16429,17127,17689,18651,19159,19915,20408,20943,21593,22106,22344,22640,24600,25886,28377]\n```\n\n### Contributors\n\n```mermaid\n---\nconfig:\n xyChart:\n width: 900\n height: 400\n---\nxychart-beta\n title \"Scripted Speech: Total Contributors\"\n x-axis [\"1\",\"2\",\"3\",\"4\",\"5.1\",\"6.1\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16.1\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\"]\n y-axis \"Users\" 0 --> 500000\n bar [42109,56059,57420,95798,138225,151434,191622,207602,252576,263879,271817,281069,288617,298724,302232,319703,330323,335780,338378,345996,350098,356074,361614,371058,375673]\n```\n\n_Counts are summed per language — contributors active in multiple languages are counted once per language._\n\n### Language Count\n\n```mermaid\n---\nconfig:\n xyChart:\n width: 900\n height: 400\n---\nxychart-beta\n title \"Scripted Speech: Languages per Release\"\n x-axis [\"1\",\"2\",\"3\",\"4\",\"5.1\",\"6.1\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16.1\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\"]\n y-axis \"Languages\" 0 --> 310\n line [19,28,29,40,54,60,76,87,93,96,100,104,108,112,114,120,124,129,131,133,134,137,286,289,290]\n```\n\n### Release Summary\n\n
\n\n| Release | Date | Languages | Total Hours | Validated Hours |\n| ------- | ---------- | --------: | ----------: | --------------: |\n| v1 | 2019-02-25 | 19 | 1,368 | 1,096 |\n| v2 | 2019-06-11 | 28 | 2,366 | 1,872 |\n| v3 | 2019-06-24 | 29 | 2,454 | 1,979 |\n| v4 | 2019-12-10 | 40 | 4,257 | 3,401 |\n| v5.1 | 2020-06-22 | 54 | 7,226 | 5,671 |\n| v6.1 | 2020-12-11 | 60 | 9,283 | 7,335 |\n| v7.0 | 2021-07-21 | 76 | 13,905 | 11,192 |\n| v8.0 | 2022-01-19 | 87 | 18,243 | 14,122 |\n| v9.0 | 2022-04-27 | 93 | 20,217 | 14,973 |\n| v10.0 | 2022-07-04 | 96 | 20,817 | 15,234 |\n| v11.0 | 2022-09-21 | 100 | 24,231 | 16,429 |\n| v12.0 | 2022-12-07 | 104 | 26,119 | 17,127 |\n| v13.0 | 2023-03-09 | 108 | 27,141 | 17,689 |\n| v14.0 | 2023-06-23 | 112 | 28,117 | 18,651 |\n| v15.0 | 2023-09-08 | 114 | 28,750 | 19,159 |\n| v16.1 | 2023-12-06 | 120 | 30,328 | 19,915 |\n| v17.0 | 2024-03-15 | 124 | 31,175 | 20,408 |\n| v18.0 | 2024-06-14 | 129 | 32,121 | 20,943 |\n| v19.0 | 2024-09-13 | 131 | 32,584 | 21,593 |\n| v20.0 | 2024-12-06 | 133 | 33,154 | 22,106 |\n| v21.0 | 2025-03-14 | 134 | 33,534 | 22,344 |\n| v22.0 | 2025-06-20 | 137 | 33,815 | 22,640 |\n| v23.0 | 2025-09-05 | 286 | 35,921 | 24,600 |\n| v24.0 | 2025-12-05 | 289 | 38,932 | 25,886 |\n| v25.0 | 2026-03-09 | 290 | 41,792 | 28,377 |\n\n
\n\n## About the Statistics\n\nStatistics for each release are stored as JSON files in this directory. The JSON structure may have changed slightly from release to release, so if you plan on doing any comparisons you may need to normalize them between versions.\n\nAny demographic split (i.e. gender, age, accent) is applied to **the entire dataset**, not just the validated set. Unless otherwise indicated, durations are measured in milliseconds, and file sizes are measured in bytes.\n\n## Archive Structure\n\nEach downloaded `.tar.gz` file has the following structure, where `{lang}` represents the [BCP 47](https://en.wikipedia.org/wiki/IETF_language_tag) locale code for that language:\n\n```txt\ncv-corpus-{version}-{YYYY-MM-DD}-{lang}.tar.gz/\n cv-corpus-{version}-{YYYY-MM-DD}/\n └── {lang}/\n ├── README.md (datasheet, since Corpus 25.0)\n ├── clips/\n │ └── *.mp3\n ├── dev.tsv\n ├── invalidated.tsv\n ├── other.tsv\n ├── test.tsv\n ├── train.tsv\n ├── validated.tsv\n ├── reported.tsv\n ├── clip_durations.tsv\n ├── validated_sentences.tsv\n └── unvalidated_sentences.tsv\n```\n\n## TSV Fields\n\nEach row of a clip TSV file (`validated.tsv`, `invalidated.tsv`, `other.tsv`, `train.tsv`, `dev.tsv`, `test.tsv`) represents a single audio clip:\n\n- `client_id` -- hashed UUID of a given user\n- `path` -- relative path of the audio file\n- `sentence` -- transcription of the audio to be read aloud by the contributor\n- `sentence_id` -- unique identifier for the sentence (since Corpus 17.0)\n- `sentence_domain` -- domain classification(s) of the sentence (since Corpus 17.0)\n- `up_votes` -- number of people who said audio matches the sentence\n- `down_votes` -- number of people who said audio does not match the sentence\n- `age` -- age bracket of the speaker - if provided\\*\n- `gender` -- gender of the speaker - if provided\\*\n- `accents` -- accent(s) of the speaker - if provided\\* (previously named `accent` but renamed to reflect multiple selections, since Corpus 17.0)\n- `variant` -- language variant - if provided (since Corpus 13.0)\n- `locale` -- locale code of the language (since Corpus 5.0)\n- `segment` -- custom dataset segment, if applicable (since Corpus 5.0)\n\nThe `train.tsv`, `dev.tsv`, and `test.tsv` splits are produced by [CorporaCreator](https://github.com/common-voice/CorporaCreator) and contain the same columns as `validated.tsv`.\n\n\\*For a full list of age, gender, and accent options, see the [demographics spec](https://github.com/common-voice/common-voice/blob/main/web/src/stores/demographics.ts). These are only reported if the speaker opted in.\n\n### Additional TSV Files\n\n**`clip_durations.tsv`** (since Corpus 16.1) -- clip filename and duration:\n\n- `clip` -- clip filename\n- `duration[ms]` -- duration of the clip in milliseconds\n\n**`validated_sentences.tsv`** (since Corpus 17.0) -- sentences that have reached the validated threshold (two or more up votes):\n\n- `sentence_id` -- unique identifier for the sentence\n- `sentence` -- the sentence itself\n- `variant` -- language variant token for the sentence, if provided (since Corpus 25.0)\n- `sentence_domain` -- domain classification(s) of the sentence, if provided\n- `source` -- origin of the sentence (user provided or from old files under server/data)\n- `is_used` -- whether the sentence is still eligible for recording (sentences may be retired if they are incorrect, outdated, too similar to other sentences, or for other reasons via database migrations)\n- `clips_count` -- number of clips recorded for this sentence\n\n**`unvalidated_sentences.tsv`** (since Corpus 17.0) -- sentences that have not reached the validated threshold or have been rejected:\n\n- `sentence_id` -- unique identifier for the sentence\n- `sentence` -- the sentence itself\n- `variant` -- language variant token for the sentence, if provided (since Corpus 25.0)\n- `sentence_domain` -- domain classification(s) of the sentence, if provided\n- `source` -- origin of the sentence (user provided or from old files under server/data)\n- `up_votes` -- number of approving votes (since Corpus 25.0)\n- `down_votes` -- number of rejecting votes (since Corpus 25.0)\n- `status` -- `pending` (not yet decided) or `rejected` (2+ down votes exceeding up votes) (since Corpus 25.0)\n\n### Validation Categories\n\n- `validated` -- clips with two or more validations where `up_votes` > `down_votes`\n- `invalidated` -- clips with two or more validations where `down_votes` > `up_votes`, or three or more where `down_votes` = `up_votes`\n- `other` -- clips without sufficient validations to determine their status\n\n**`reported.tsv`** (since Corpus 5.0) -- sentences flagged by contributors:\n\n- `sentence` -- text of the reported sentence\n- `sentence_id` -- unique identifier for the sentence\n- `locale` -- locale code\n- `reason` -- report reason: `offensive-language`, `grammar-or-spelling`, `different-language`, `difficult-pronounce`\n\nNote: reporting a sentence does not remove it from circulation. Reported sentences remain available for recording and validation. The `reported.tsv` file is provided for post-processing by dataset consumers.\n\n## Use for Machine Learning\n\nWe use the [Corpora Creator](https://github.com/common-voice/CorporaCreator) tool to parse through metadata to generate [train, dev, and test](https://en.wikipedia.org/wiki/Training,_validation,_and_test_sets) sets. The Corpora Creator eliminates duplication in clips and maximizes for speaker diversity.\n\nEach train/dev/test set is generated non-deterministically, meaning they will vary from release to release even for minor updates. This is to avoid reproducing and perpetuating any demographic skews in each subsequent set.\nNote that total clips in these sets will most probably not add up to the total validated clips because of this limitation. Please check the repo to include multiple recordings per sentence (the `-s` flag) if you want to get as close as possible to the total validated clips.\n" }, { "path": "datasets/scripted-speech/cv-corpus-1.json", "content": "{\n \"date\": \"2019-02-25\",\n \"locales\": {\n \"en\": {\n \"clips\": 677020,\n \"splits\": {\n \"accent\": {\n \"\": 0.55,\n \"canada\": 0.02,\n \"england\": 0.08,\n \"us\": 0.21,\n \"indian\": 0.04,\n \"australia\": 0.02,\n \"malaysia\": 0,\n \"newzealand\": 0.01,\n \"african\": 0.01,\n \"ireland\": 0.01,\n \"philippines\": 0,\n \"singapore\": 0,\n \"scotland\": 0.01,\n \"hongkong\": 0,\n \"bermuda\": 0,\n \"southatlandtic\": 0,\n \"wales\": 0,\n \"other\": 0.03\n },\n \"age\": {\n \"\": 0.48,\n \"twenties\": 0.18,\n \"sixties\": 0.02,\n \"thirties\": 0.14,\n \"teens\": 0.04,\n \"seventies\": 0.01,\n \"fourties\": 0.08,\n \"fifties\": 0.05,\n \"eighties\": 0,\n \"nineties\": 0\n },\n \"gender\": { \"\": 0.48, \"male\": 0.41, \"female\": 0.1, \"other\": 0.01 }\n },\n \"users\": 33541,\n \"duration\": 2893916688,\n \"buckets\": {\n \"dev\": 7016,\n \"invalidated\": 61200,\n \"other\": 125337,\n \"test\": 7016,\n \"train\": 12135,\n \"validated\": 490483\n },\n \"size\": 22487893709\n },\n \"de\": {\n \"clips\": 133646,\n \"splits\": {\n \"accent\": {\n \"germany\": 0.71,\n \"\": 0.23,\n \"austria\": 0.02,\n \"liechtenstein\": 0,\n \"switzerland\": 0.03,\n \"france\": 0,\n \"other\": 0.01,\n \"poland\": 0,\n \"united_kingdom\": 0,\n \"hungary\": 0,\n \"netherlands\": 0,\n \"namibia\": 0\n },\n \"age\": {\n \"twenties\": 0.31,\n \"fourties\": 0.17,\n \"\": 0.19,\n \"thirties\": 0.14,\n \"teens\": 0.04,\n \"sixties\": 0.03,\n \"fifties\": 0.12,\n \"seventies\": 0\n },\n \"gender\": { \"male\": 0.76, \"\": 0.19, \"female\": 0.05, \"other\": 0 }\n },\n \"users\": 2249,\n \"duration\": 526772160,\n \"buckets\": {\n \"dev\": 2269,\n \"invalidated\": 5487,\n \"other\": 0,\n \"test\": 2269,\n \"train\": 2629,\n \"validated\": 128159\n },\n \"size\": 4151335731\n },\n \"fr\": {\n \"clips\": 75022,\n \"splits\": {\n \"accent\": {\n \"\": 0.22,\n \"france\": 0.74,\n \"germany\": 0,\n \"belgium\": 0.02,\n \"switzerland\": 0.01,\n \"guadeloupe\": 0,\n \"reunion\": 0,\n \"monaco\": 0,\n \"tunisia\": 0,\n \"canada\": 0.01,\n \"other\": 0,\n \"mayotte\": 0,\n \"algeria\": 0,\n \"netherlands\": 0,\n \"senegal\": 0,\n \"martinique\": 0,\n \"portugal\": 0,\n \"united_states\": 0,\n \"cote_d_ivoire\": 0,\n \"st_pierre_et_miquelon\": 0\n },\n \"age\": {\n \"twenties\": 0.23,\n \"thirties\": 0.2,\n \"\": 0.21,\n \"teens\": 0.06,\n \"fourties\": 0.25,\n \"fifties\": 0.02,\n \"sixties\": 0.02,\n \"seventies\": 0\n },\n \"gender\": { \"male\": 0.72, \"\": 0.21, \"female\": 0.07, \"other\": 0 }\n },\n \"users\": 1697,\n \"duration\": 284516280,\n \"buckets\": {\n \"dev\": 8857,\n \"invalidated\": 4770,\n \"other\": 0,\n \"test\": 8858,\n \"train\": 18941,\n \"validated\": 70252\n },\n \"size\": 2245754155\n },\n \"cy\": {\n \"clips\": 19412,\n \"splits\": {\n \"accent\": { \"united_kingdom\": 0.6, \"\": 0.36, \"other\": 0.03 },\n \"age\": {\n \"fourties\": 0.16,\n \"twenties\": 0.13,\n \"sixties\": 0.18,\n \"fifties\": 0.09,\n \"\": 0.32,\n \"thirties\": 0.11,\n \"seventies\": 0.01,\n \"eighties\": 0\n },\n \"gender\": { \"male\": 0.43, \"female\": 0.26, \"\": 0.31 }\n },\n \"users\": 365,\n \"duration\": 79378296,\n \"buckets\": {\n \"dev\": 484,\n \"invalidated\": 672,\n \"other\": 0,\n \"test\": 484,\n \"train\": 500,\n \"validated\": 18731\n },\n \"size\": 622806292\n },\n \"br\": {\n \"clips\": 9306,\n \"splits\": {\n \"accent\": { \"other\": 0.01, \"\": 0.99 },\n \"age\": {\n \"twenties\": 0.16,\n \"\": 0.56,\n \"fifties\": 0.01,\n \"fourties\": 0.13,\n \"thirties\": 0.14,\n \"sixties\": 0.01\n },\n \"gender\": { \"male\": 0.43, \"\": 0.56, \"female\": 0.02 }\n },\n \"users\": 82,\n \"duration\": 26068056,\n \"buckets\": {\n \"dev\": 1022,\n \"invalidated\": 364,\n \"other\": 5147,\n \"test\": 1054,\n \"train\": 1458,\n \"validated\": 3795\n },\n \"size\": 201554829\n },\n \"cv\": {\n \"clips\": 2299,\n \"splits\": {\n \"accent\": { \"\": 1 },\n \"age\": {\n \"twenties\": 0.03,\n \"\": 0.54,\n \"fourties\": 0.39,\n \"thirties\": 0.03,\n \"teens\": 0.01\n },\n \"gender\": { \"male\": 0.46, \"\": 0.54 }\n },\n \"users\": 33,\n \"duration\": 9802458,\n \"buckets\": {\n \"dev\": 49,\n \"invalidated\": 628,\n \"other\": 915,\n \"test\": 187,\n \"train\": 414,\n \"validated\": 756\n },\n \"size\": 77597058\n },\n \"tr\": {\n \"clips\": 6226,\n \"splits\": {\n \"accent\": { \"\": 0.87, \"other\": 0.13 },\n \"age\": {\n \"\": 0.18,\n \"thirties\": 0.41,\n \"twenties\": 0.37,\n \"teens\": 0.02,\n \"fourties\": 0.01,\n \"fifties\": 0\n },\n \"gender\": { \"\": 0.18, \"male\": 0.75, \"female\": 0.07 }\n },\n \"users\": 203,\n \"duration\": 23086560,\n \"buckets\": {\n \"dev\": 1039,\n \"invalidated\": 843,\n \"other\": 331,\n \"test\": 1112,\n \"train\": 1265,\n \"validated\": 5052\n },\n \"size\": 182107529\n },\n \"tt\": {\n \"clips\": 20663,\n \"splits\": {\n \"accent\": { \"\": 1 },\n \"age\": {\n \"\": 0.17,\n \"thirties\": 0.78,\n \"twenties\": 0.04,\n \"sixties\": 0,\n \"fifties\": 0.01,\n \"teens\": 0,\n \"fourties\": 0\n },\n \"gender\": { \"\": 0.17, \"male\": 0.8, \"female\": 0.02 }\n },\n \"users\": 117,\n \"duration\": 73813776,\n \"buckets\": {\n \"dev\": 1882,\n \"invalidated\": 199,\n \"other\": 17,\n \"test\": 3437,\n \"train\": 7425,\n \"validated\": 20447\n },\n \"size\": 555266991\n },\n \"ky\": {\n \"clips\": 4766,\n \"splits\": {\n \"accent\": { \"other\": 0.11, \"\": 0.89 },\n \"age\": {\n \"thirties\": 0.19,\n \"\": 0.13,\n \"fourties\": 0.05,\n \"twenties\": 0.64\n },\n \"gender\": { \"male\": 0.8, \"\": 0.15, \"female\": 0.06 }\n },\n \"users\": 63,\n \"duration\": 22124544,\n \"buckets\": {\n \"dev\": 782,\n \"invalidated\": 249,\n \"other\": 0,\n \"test\": 1206,\n \"train\": 1888,\n \"validated\": 4517\n },\n \"size\": 152729320\n },\n \"ga-IE\": {\n \"clips\": 2007,\n \"splits\": {\n \"accent\": {\n \"\": 0.24,\n \"connachta\": 0.45,\n \"other\": 0.18,\n \"ulaidh\": 0.13\n },\n \"age\": {\n \"twenties\": 0.03,\n \"\": 0.21,\n \"thirties\": 0.57,\n \"fourties\": 0.13,\n \"sixties\": 0.01,\n \"teens\": 0.04\n },\n \"gender\": { \"male\": 0.57, \"\": 0.21, \"female\": 0.22 }\n },\n \"users\": 30,\n \"duration\": 6320352,\n \"buckets\": {\n \"dev\": 284,\n \"invalidated\": 134,\n \"other\": 0,\n \"test\": 415,\n \"train\": 644,\n \"validated\": 1873\n },\n \"size\": 48777677\n },\n \"kab\": {\n \"clips\": 101313,\n \"splits\": {\n \"accent\": { \"\": 0.73, \"other\": 0.27 },\n \"age\": {\n \"fourties\": 0.16,\n \"thirties\": 0.21,\n \"\": 0.33,\n \"twenties\": 0.17,\n \"fifties\": 0.04,\n \"eighties\": 0.08,\n \"teens\": 0,\n \"sixties\": 0\n },\n \"gender\": { \"male\": 0.53, \"\": 0.29, \"female\": 0.17, \"other\": 0.01 }\n },\n \"users\": 382,\n \"duration\": 353173920,\n \"buckets\": {\n \"dev\": 4073,\n \"invalidated\": 6111,\n \"other\": 0,\n \"test\": 4073,\n \"train\": 5395,\n \"validated\": 95202\n },\n \"size\": 2787486601\n },\n \"ca\": {\n \"clips\": 77137,\n \"splits\": {\n \"accent\": {\n \"valencian\": 0.07,\n \"central\": 0.69,\n \"\": 0.18,\n \"other\": 0.01,\n \"balearic\": 0.01,\n \"northwestern\": 0.04,\n \"northern\": 0\n },\n \"age\": {\n \"thirties\": 0.13,\n \"fifties\": 0.26,\n \"fourties\": 0.28,\n \"twenties\": 0.08,\n \"\": 0.18,\n \"sixties\": 0.05,\n \"teens\": 0.02,\n \"seventies\": 0,\n \"eighties\": 0\n },\n \"gender\": { \"male\": 0.38, \"\": 0.18, \"female\": 0.44, \"other\": 0 }\n },\n \"users\": 1639,\n \"duration\": 353712432,\n \"buckets\": {\n \"dev\": 8375,\n \"invalidated\": 4302,\n \"other\": 21,\n \"test\": 8374,\n \"train\": 16870,\n \"validated\": 72814\n },\n \"size\": 2780768799\n },\n \"zh-TW\": {\n \"clips\": 36369,\n \"splits\": {\n \"accent\": { \"\": 0.79, \"other\": 0.21 },\n \"age\": {\n \"thirties\": 0.3,\n \"twenties\": 0.43,\n \"teens\": 0.01,\n \"\": 0.24,\n \"fifties\": 0.01,\n \"seventies\": 0,\n \"fourties\": 0.02\n },\n \"gender\": { \"male\": 0.38, \"\": 0.23, \"female\": 0.35, \"other\": 0.04 }\n },\n \"users\": 695,\n \"duration\": 101606832,\n \"buckets\": {\n \"dev\": 1154,\n \"invalidated\": 1765,\n \"other\": 9315,\n \"test\": 1154,\n \"train\": 1240,\n \"validated\": 25289\n },\n \"size\": 800988779\n },\n \"sl\": {\n \"clips\": 3286,\n \"splits\": {\n \"accent\": { \"other\": 0.02, \"\": 0.98 },\n \"age\": {\n \"twenties\": 0.83,\n \"teens\": 0.01,\n \"\": 0.01,\n \"sixties\": 0,\n \"fifties\": 0.15\n },\n \"gender\": { \"female\": 0.17, \"male\": 0.82, \"\": 0.01 }\n },\n \"users\": 18,\n \"duration\": 12475584,\n \"buckets\": {\n \"dev\": 291,\n \"invalidated\": 97,\n \"other\": 1399,\n \"test\": 320,\n \"train\": 762,\n \"validated\": 1790\n },\n \"size\": 98867237\n },\n \"it\": {\n \"clips\": 16048,\n \"splits\": {\n \"accent\": { \"\": 0.7, \"other\": 0.3 },\n \"age\": {\n \"thirties\": 0.13,\n \"twenties\": 0.37,\n \"\": 0.34,\n \"fifties\": 0.08,\n \"fourties\": 0.06,\n \"seventies\": 0,\n \"sixties\": 0,\n \"teens\": 0.02\n },\n \"gender\": { \"female\": 0.07, \"male\": 0.67, \"\": 0.26 }\n },\n \"users\": 313,\n \"duration\": 70795560,\n \"buckets\": {\n \"dev\": 3085,\n \"invalidated\": 3061,\n \"other\": 2,\n \"test\": 3082,\n \"train\": 3812,\n \"validated\": 12985\n },\n \"size\": 556736370\n },\n \"nl\": {\n \"clips\": 13385,\n \"splits\": {\n \"accent\": { \"\": 0.22, \"netherlands\": 0.68, \"belgium\": 0.1, \"other\": 0 },\n \"age\": {\n \"\": 0.18,\n \"twenties\": 0.35,\n \"fourties\": 0.05,\n \"thirties\": 0.13,\n \"teens\": 0.02,\n \"fifties\": 0.26,\n \"sixties\": 0\n },\n \"gender\": { \"\": 0.24, \"male\": 0.74, \"female\": 0.02, \"other\": 0 }\n },\n \"users\": 373,\n \"duration\": 48954768,\n \"buckets\": {\n \"dev\": 1542,\n \"invalidated\": 700,\n \"other\": 243,\n \"test\": 1542,\n \"train\": 1701,\n \"validated\": 12442\n },\n \"size\": 382910541\n },\n \"cnh\": {\n \"clips\": 4289,\n \"splits\": {\n \"accent\": { \"\": 0.8, \"other\": 0.2 },\n \"age\": {\n \"\": 0.52,\n \"twenties\": 0.3,\n \"fourties\": 0.02,\n \"teens\": 0.02,\n \"thirties\": 0.11,\n \"fifties\": 0.03\n },\n \"gender\": { \"\": 0.53, \"male\": 0.26, \"female\": 0.22 }\n },\n \"users\": 253,\n \"duration\": 15737520,\n \"buckets\": {\n \"dev\": 641,\n \"invalidated\": 452,\n \"other\": 1689,\n \"test\": 659,\n \"train\": 733,\n \"validated\": 2148\n },\n \"size\": 124559394\n },\n \"eo\": {\n \"clips\": 5882,\n \"splits\": {\n \"accent\": { \"\": 0.76, \"internacia\": 0.19, \"other\": 0.05 },\n \"age\": {\n \"twenties\": 0.78,\n \"thirties\": 0.04,\n \"\": 0.1,\n \"fourties\": 0.05,\n \"fifties\": 0.01,\n \"seventies\": 0,\n \"teens\": 0.02\n },\n \"gender\": { \"male\": 0.21, \"\": 0.68, \"female\": 0.1, \"other\": 0.01 }\n },\n \"users\": 53,\n \"duration\": 23382864,\n \"buckets\": {\n \"dev\": 526,\n \"invalidated\": 238,\n \"other\": 1872,\n \"test\": 1057,\n \"train\": 1992,\n \"validated\": 3772\n },\n \"size\": 184514284\n },\n \"et\": {\n \"clips\": 35,\n \"splits\": {\n \"accent\": { \"\": 1 },\n \"age\": { \"\": 0.14, \"thirties\": 0.86 },\n \"gender\": { \"\": 0.14, \"male\": 0.86 }\n },\n \"users\": 3,\n \"duration\": 230328,\n \"buckets\": {\n \"dev\": 5,\n \"invalidated\": 12,\n \"other\": 0,\n \"test\": 3,\n \"train\": 15,\n \"validated\": 23\n },\n \"size\": 1822156\n }\n },\n \"totalDuration\": 4925868978,\n \"totalValidDurationSecs\": 3946252,\n \"totalHrs\": 1368,\n \"totalValidHrs\": 1096,\n \"totalClips\": 1208111\n}\n" }, { "path": "datasets/scripted-speech/cv-corpus-10.0-2022-07-04.json", "content": "{\n \"date\": \"2022-07-04\",\n \"locales\": {\n \"en\": {\n \"duration\": 10981597567,\n \"buckets\": {\n \"dev\": 16345,\n \"invalidated\": 248337,\n \"other\": 293021,\n \"reported\": 4158,\n \"test\": 16345,\n \"train\": 921404,\n \"validated\": 1589008\n },\n \"reportedSentences\": 4095,\n \"clips\": 2130366,\n \"splits\": {\n \"accent\": { \"\": 1 },\n \"age\": {\n \"\": 0.37,\n \"twenties\": 0.24,\n \"sixties\": 0.04,\n \"thirties\": 0.13,\n \"teens\": 0.06,\n \"seventies\": 0.01,\n \"fourties\": 0.1,\n \"fifties\": 0.05,\n \"eighties\": 0,\n \"nineties\": 0\n },\n \"gender\": { \"\": 0.37, \"male\": 0.45, \"female\": 0.16, \"other\": 0.02 }\n },\n \"users\": 83790,\n \"size\": 78797545779,\n \"checksum\": \"b82354bf4ff7a62568e071dbba3a48160f7368ed94890fd57f466a85c27e0511\",\n \"avgDurationSecs\": 5.155,\n \"validDurationSecs\": 8191008.675,\n \"totalHrs\": 3050.44,\n \"validHrs\": 2275.28\n },\n \"fa\": {\n \"duration\": 1371060000,\n \"buckets\": {\n \"dev\": 9937,\n \"invalidated\": 13320,\n \"other\": 34431,\n \"reported\": 2117,\n \"test\": 9937,\n \"train\": 24672,\n \"validated\": 294426\n },\n \"reportedSentences\": 2109,\n \"clips\": 342177,\n \"splits\": {\n \"accent\": { \"\": 1 },\n \"age\": {\n \"\": 0.24,\n \"twenties\": 0.31,\n \"thirties\": 0.37,\n \"fifties\": 0.02,\n \"fourties\": 0.03,\n 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\"30993c465a078f4144f1399553d92506d72cbb42ae3f00e34f69f704f0f5b39f\",\n \"avgDurationSecs\": 5.592,\n \"validDurationSecs\": 4492615.107,\n \"totalHrs\": 2045.27,\n \"validHrs\": 1247.94\n },\n \"de\": {\n \"buckets\": {\n \"dev\": 16033,\n \"invalidated\": 45660,\n \"other\": 5246,\n \"reported\": 7276,\n \"test\": 16033,\n \"train\": 439325,\n \"validated\": 765790\n },\n \"duration\": 4197654857,\n \"reportedSentences\": 7212,\n \"clips\": 816696,\n \"splits\": {\n \"accent\": {\n \"\": 1\n },\n \"age\": {\n \"twenties\": 0.2,\n \"fourties\": 0.17,\n \"\": 0.31,\n \"thirties\": 0.15,\n \"teens\": 0.03,\n \"sixties\": 0.03,\n \"fifties\": 0.1,\n \"seventies\": 0,\n \"eighties\": 0,\n \"nineties\": 0\n },\n \"gender\": {\n \"male\": 0.59,\n \"\": 0.31,\n \"female\": 0.09,\n \"other\": 0.01\n }\n },\n \"users\": 16645,\n \"size\": 30220261910,\n \"checksum\": \"a8f088b7a55f9754c165c218655b0a7131d3f2e17f56d8cbc9ba6eca32228a81\",\n \"avgDurationSecs\": 5.14,\n \"validDurationSecs\": 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39758,\n \"validated\": 128031\n },\n \"duration\": 1302133236,\n \"reportedSentences\": 3229,\n \"clips\": 210072,\n \"splits\": {\n \"accent\": {\n \"\": 1\n },\n \"age\": {\n \"twenties\": 0.08,\n \"thirties\": 0.09,\n \"\": 0.71,\n \"fourties\": 0.03,\n \"seventies\": 0.02,\n \"fifties\": 0.03,\n \"teens\": 0.04,\n \"sixties\": 0,\n \"eighties\": 0\n },\n \"gender\": {\n \"male\": 0.16,\n \"\": 0.7,\n \"other\": 0,\n \"female\": 0.13\n }\n },\n \"users\": 730,\n \"size\": 7812683439,\n \"checksum\": \"c8ac4adfb3e1bc0f8cec4ed15cd61ec12bc0784036f5edb0cc7528a2277dcc77\",\n \"avgDurationSecs\": 6.199,\n \"validDurationSecs\": 793601.338,\n \"totalHrs\": 361.7,\n \"validHrs\": 220.44\n },\n \"ru\": {\n \"buckets\": {\n \"dev\": 9457,\n \"invalidated\": 6549,\n \"other\": 18733,\n \"reported\": 290,\n \"test\": 9456,\n \"train\": 21909,\n \"validated\": 115007\n },\n \"duration\": 725508648,\n \"reportedSentences\": 284,\n \"clips\": 140289,\n \"splits\": {\n \"accent\": {\n \"\": 1\n },\n \"age\": {\n \"twenties\": 0.41,\n \"teens\": 0.08,\n \"\": 0.2,\n \"fourties\": 0.14,\n \"thirties\": 0.13,\n \"fifties\": 0.03,\n \"sixties\": 0,\n \"seventies\": 0\n },\n \"gender\": {\n \"male\": 0.63,\n \"\": 0.21,\n \"other\": 0,\n \"female\": 0.16\n }\n },\n \"users\": 2585,\n \"size\": 5132638847,\n \"checksum\": \"f3e386715e55b5e293b77ccda252d1c4c5458fb5f1290f54e241e7fe45c0bd60\",\n \"avgDurationSecs\": 5.172,\n \"validDurationSecs\": 594762.049,\n \"totalHrs\": 201.53,\n \"validHrs\": 165.21\n },\n \"nl\": {\n \"buckets\": {\n \"dev\": 10368,\n \"invalidated\": 4995,\n \"other\": 2233,\n \"reported\": 310,\n \"test\": 10552,\n \"train\": 29031,\n \"validated\": 82976\n },\n \"duration\": 388289017,\n \"reportedSentences\": 311,\n \"clips\": 90204,\n \"splits\": {\n \"accent\": {\n \"\": 1\n },\n \"age\": {\n \"\": 0.41,\n \"twenties\": 0.22,\n \"fourties\": 0.14,\n \"thirties\": 0.11,\n \"teens\": 0.02,\n \"fifties\": 0.08,\n \"sixties\": 0.01,\n \"nineties\": 0,\n \"eighties\": 0,\n \"seventies\": 0\n },\n \"gender\": {\n \"\": 0.42,\n \"male\": 0.47,\n \"female\": 0.11,\n \"other\": 0\n }\n },\n \"users\": 1488,\n \"size\": 2678633936,\n \"checksum\": \"23467ca7212bedde6f5b53689cb76e8a78d7502e937d990c64f304cf4f472dbc\",\n \"avgDurationSecs\": 4.305,\n \"validDurationSecs\": 357175.618,\n \"totalHrs\": 107.85,\n \"validHrs\": 99.21\n },\n \"it\": {\n \"buckets\": {\n \"dev\": 14935,\n \"invalidated\": 16988,\n \"other\": 27,\n \"reported\": 5204,\n \"test\": 14934,\n \"train\": 145968,\n \"validated\": 212264\n },\n \"duration\": 1226597196,\n \"reportedSentences\": 5200,\n \"clips\": 229279,\n \"splits\": {\n \"accent\": {\n \"\": 1\n },\n \"age\": {\n \"thirties\": 0.16,\n \"twenties\": 0.2,\n \"\": 0.29,\n \"fifties\": 0.16,\n \"fourties\": 0.14,\n \"seventies\": 0,\n \"sixties\": 0.02,\n \"teens\": 0.01,\n \"eighties\": 0,\n \"nineties\": 0\n },\n \"gender\": {\n \"female\": 0.12,\n \"male\": 0.59,\n \"\": 0.29,\n \"other\": 0\n }\n },\n \"users\": 6640,\n \"size\": 8536806025,\n \"checksum\": \"3c97337d99684cda8c3c383b68555f1124fd8646df61e03b7578212580d71f1b\",\n \"avgDurationSecs\": 5.35,\n \"validDurationSecs\": 1135570.319,\n \"totalHrs\": 340.72,\n \"validHrs\": 315.43\n },\n \"vot\": {\n \"duration\": 1025976,\n \"buckets\": {\n \"dev\": 0,\n \"invalidated\": 324,\n \"other\": 0,\n \"test\": 6,\n \"train\": 96,\n \"validated\": 102\n },\n \"clips\": 426,\n \"splits\": {\n \"accent\": {\n \"\": 1\n },\n \"age\": {\n \"\": 0.25,\n \"twenties\": 0.73,\n \"teens\": 0.01\n },\n \"gender\": {\n \"\": 0.25,\n \"male\": 0.75\n }\n },\n \"users\": 5,\n \"size\": 7892306,\n \"checksum\": \"5ca8a934d111c6ea330df3c1f52c45fbec0dbbae0ff4fe83e97c32b2f6294b60\",\n \"avgDurationSecs\": 2.408,\n \"validDurationSecs\": 245.656,\n \"totalHrs\": 0.28,\n \"validHrs\": 0.06\n },\n \"az\": {\n \"duration\": 604476,\n \"buckets\": {\n \"dev\": 15,\n \"invalidated\": 28,\n \"other\": 0,\n \"test\": 26,\n \"train\": 39,\n \"validated\": 80\n },\n \"clips\": 108,\n \"splits\": {\n \"accent\": {\n \"\": 1\n },\n \"age\": {\n \"\": 0.41,\n \"twenties\": 0.56,\n \"fourties\": 0.03\n },\n \"gender\": {\n \"\": 0.41,\n \"male\": 0.59\n }\n },\n \"users\": 13,\n \"size\": 3529914,\n \"checksum\": \"8fabb36856ca872e56a5cb9ada9029086c05600a809524afda3e8883a687640a\",\n \"avgDurationSecs\": 5.597,\n \"validDurationSecs\": 447.76,\n \"totalHrs\": 0.16,\n \"validHrs\": 0.12\n },\n \"mk\": {\n \"duration\": 729000,\n \"buckets\": {\n \"dev\": 0,\n \"invalidated\": 7,\n \"other\": 9,\n \"test\": 15,\n \"train\": 114,\n \"validated\": 129\n },\n \"clips\": 145,\n \"splits\": {\n \"accent\": {\n \"\": 1\n },\n \"age\": {\n \"thirties\": 0.38,\n \"\": 1,\n \"twenties\": 0.14,\n \"teens\": 0.1\n },\n \"gender\": {\n \"male\": 0.62,\n \"\": 1\n }\n },\n \"users\": 5,\n \"size\": 4286542,\n \"checksum\": \"e49da4f1b244b00f67879b48877ad85b9659ff2b050c34d1427e220a9b67ebb9\",\n \"avgDurationSecs\": 5.028,\n \"validDurationSecs\": 648.559,\n \"totalHrs\": 0.2,\n \"validHrs\": 0.18\n }\n },\n \"totalDuration\": 72782088097,\n \"totalValidDurationSecs\": 53904443,\n \"totalHrs\": 20217,\n \"totalValidHrs\": 14973\n}" }, { "path": "datasets/spontaneous-speech/.gitkeep", "content": "" }, { "path": "datasets/spontaneous-speech/CHANGELOG.md", "content": "# Spontaneous Speech (SPS) Changelog\n\n## Dataset Changes in Corpus 3.0\n\nThe following changes affect SPS datasets starting with Corpus 3.0. For bundler internals, see the [SPS Bundler documentation](https://github.com/common-voice/spontaneous-speech/tree/main/spontaneous-speech-bundler).\n\n### New files in archive\n\n- **Datasheets**: each locale archive now includes a `README.md` datasheet with language description, statistics, and community context (generated from [cv-datasheets](https://github.com/common-voice/cv-datasheets), schema v2.0.0). Full releases only.\n- **QA summary**: `ss-corpus-{locale}.qa-summary.json` with processing metrics per locale.\n\n### TSV field changes\n\n- added `age`, `gender`, `accents`, `variant` columns -- demographics are cross-referenced from SCS profiles when the contributor has one, with SCS data taking priority\n- added `char_per_sec` column -- characters per second of transcription relative to audio duration\n- added `quality_tags` column -- pipe-separated quality flags (see [Quality Tags](README.md#quality-tags) in the README)\n- disfluency markers in `transcription` are now standardized to `[disfluency]` tags\n\n### Statistics structure\n\nThe per-locale statistics JSON differs from SCS (relevant for programmatic consumers):\n\n- `duration` is a nested object: `total_ms`, `total_hrs`, `validated_ms`, `validated_hrs`, `avg_ms`, `min_ms`, `max_ms`, `avg_chars_per_sec`\n- `buckets` contains per-split detail: `train`, `dev`, `test`, each with `clips`, `users`, `duration_ms`, `duration_hrs`\n- `demographics` replaces the SCS `splits` key, with `age`, `gender`, `accent`, and `variant` breakdowns\n- SPS-specific objects: `questions`, `audios`, `transcriptions`, `reported` (with `reasons` breakdown)\n- accents and variants use machine tokens in statistics; non-predefined values are grouped as `user_defined`\n- `generated_at` timestamp is included\n\n## Current Release\n\n### [Corpus 3.0](sps-corpus-3.0-2026-03-09.json)\n\n- **Date released**: 18 March 2026\n- **Clip cut-off date**: 09 March 2026\n- **Total hours**: 508\n- **Total validated hours**: 269\n- **Number of languages**: 72\n\n**New languages since last release**: Danish (`da`), Esperanto (`eo`), Croatian (`hr`), Javanese (`jv`), Dutch (`nl`), Pashto (`ps`), Rakhine (`rki`), Sinhala (`si`), Sundanese (`su`), Tudaga (`tuq`)\n\n## Past Releases\n\n### [Corpus 2.0](sps-corpus-2.0-2025-12-05.json)\n\n- **Date released**: 17 December 2025\n- **Clip cut-off date**: 05 December 2025\n- **Total hours**: 454\n- **Total validated hours**: 268\n- **Number of languages**: 62\n\n**New languages since last release**: Spanish (`es`), Tashlhiyt (`shi`), Shona (`sn`), Thai (`th`)\n\n### [Corpus 1.0](sps-corpus-1.0-2025-09-05.json)\n\nFirst Spontaneous Speech release.\n\n- **Date released**: 17 September 2025\n- **Clip cut-off date**: 05 September 2025\n- **Total hours**: 428\n- **Total validated hours**: 263\n- **Number of languages**: 58\n\n**Languages**: Arvanitika (`aat`), Adyghe (`ady`), Gheg Albanian (`aln`), Aragonese (`an`), Bashkir (`ba`), Basaa (`bas`), Betawi (`bew`), Breton (`br`), Bodo (`brx`), Sabah Bisaya (`bsy`), Bukusu (`bxk`), Catalan (`ca`), Eastern Min (`cdo`), Chiga (`cgg`), Heng Hua (`cpx`), Welsh (`cy`), German (`de`), Cypriot Greek (`el-CY`), English (`en`), French (`fr`), Frisian (`fy-NL`), Irish (`ga-IE`), Galician (`gl`), Alsatian (`gsw`), Manx (`gv`), Gorani (`hac`), Wixarika (`hch`), Georgian (`ka`), Kabardian (`kbd`), Nubi (`kcn`), Konzo (`koo`), Kelabit (`kzi`), Lendu (`led`), Ligurian (`lij`), Kenyi (`lke`), Thur (`lth`), Latvian (`lv`), Mixteco Yucuhiti (`meh`), Melanau (`mel`), Michoacan Mazahua (`mmc`), Sabah Malay (`msi`), Bahasa Malay (`ms-MY`), Western Penan (`pne`), Puno Quechua (`qxp`), Russian (`ru`), Ruuli (`ruc`), Amba (`rwm`), Scots (`sco`), Serian Bidayuh (`sdo`), Sena (`seh`), Sa'ban (`snv`), Toba Qom (`tob`), Papantla Totonac (`top`), Turkish (`tr`), Rutoro (`ttj`), Kuku (`ukv`), Ushojo (`ush`), Kenyah (`xkl`)\n" }, { "path": "datasets/spontaneous-speech/README.md", "content": "# Spontaneous Speech (SPS)\n\nSpontaneous Speech is a newer Common Voice modality where contributors respond to open-ended questions in their own words, producing natural, unscripted audio. The community validates recordings, transcribes the audio, and reviews the transcriptions. Releases are produced using the SPS Bundler.\n\nAll audio contributions are released under the [CC-0 license](https://creativecommons.org/publicdomain/zero/1.0/). Clips are only removed at the request of the contributor, and problematic content flagged by the community via the Report button is also excluded from the datasets.\n\n## Release History\n\nSee the full [Changelog](CHANGELOG.md) for detailed release notes and new languages per release.\n\n### Total and Validated Hours\n\n```mermaid\n---\nconfig:\n xyChart:\n width: 600\n height: 350\n---\nxychart-beta\n title \"Spontaneous Speech: Total vs Validated Hours\"\n x-axis [\"v1.0\",\"v2.0\",\"v3.0\"]\n y-axis \"Hours\" 0 --> 600\n bar [428,454,508]\n bar [263,268,269]\n```\n\n### Contributors\n\n```mermaid\n---\nconfig:\n xyChart:\n width: 600\n height: 350\n---\nxychart-beta\n title \"Spontaneous Speech: Total Contributors\"\n x-axis [\"v1.0\",\"v2.0\",\"v3.0\"]\n y-axis \"Users\" 0 --> 2500\n bar [1060,1571,2043]\n```\n\n### Dataset Count\n\n```mermaid\n---\nconfig:\n xyChart:\n width: 600\n height: 250\n---\nxychart-beta\n title \"Spontaneous Speech: Dataset Count per Release\"\n x-axis [\"v1.0\",\"v2.0\",\"v3.0\"]\n y-axis \"Datasets\" 0 --> 85\n line [58,62,72]\n```\n\n### Release Summary\n\n
\n\n| Release | Date | Languages | Total Hours | Validated Hours |\n| ------- | ---------- | --------: | ----------: | --------------: |\n| v1.0 | 2025-09-05 | 58 | 428 | 263 |\n| v2.0 | 2025-12-05 | 62 | 454 | 268 |\n| v3.0 | 2026-03-09 | 72 | 508 | 269 |\n\n
\n\n## About the Statistics\n\nStatistics for each release are stored as JSON files in this directory. Durations are measured in milliseconds and file sizes in bytes unless otherwise noted.\n\nKey differences from Scripted Speech statistics:\n\n- Demographics are under a `demographics` object (not `splits`)\n- Duration is a nested object with `total_ms`, `validated_ms`, `avg_ms`, etc.\n- Buckets (`train`/`dev`/`test`) include per-bucket `clips`, `users`, `duration_ms`, `duration_hrs`\n- SPS-specific fields: `questions`, `audios`, `transcriptions`, `reported.reasons`\n\n## Archive Structure\n\nEach release produces a full data archive per locale. Naming: `sps-corpus-{version}-{YYYY-MM-DD}-{locale}.tar.gz`\n\n```txt\nsps-corpus-{version}-{YYYY-MM-DD}-{locale}/\n├── README.md (locale-specific datasheet)\n├── audios/\n│ └── spontaneous-speech-{locale}-*.mp3\n├── ss-corpus-{locale}.tsv (main data file)\n├── ss-reported-audios-{locale}.tsv (reported/flagged audios)\n└── ss-corpus-{locale}.qa-summary.json (quality assurance summary)\n```\n\n## TSV Fields\n\n### Main Data File: `ss-corpus-{locale}.tsv`\n\nEach row represents a single audio recording:\n\n- `client_id` -- hashed UUID of the speaker\n- `audio_id` -- numeric identifier for the audio\n- `audio_file` -- filename (e.g., `spontaneous-speech-en-1.mp3`)\n- `duration_ms` -- audio duration in milliseconds\n- `prompt_id` -- numeric identifier for the question/prompt\n- `prompt` -- the question text asked to the speaker\n- `transcription` -- transcription of the speaker's response (may contain `[disfluency]`, `[noise]`, etc. tags)\n- `votes` -- number of validation votes received\n- `age` -- age bracket of the speaker\\* (since v3.0, cross-referenced from SCS profiles when available)\n- `gender` -- gender of the speaker\\* (since v3.0, cross-referenced from SCS profiles when available)\n- `accents` -- accent codes (comma-separated; since v3.0, cross-referenced from SCS profiles when available)\n- `variant` -- language variant codes of the speaker (since v3.0, cross-referenced from SCS profiles when available)\n- `language` -- language name\n- `prompt_upvotes` -- number of upvotes on the prompt\n- `prompt_reports` -- number of reports on the prompt\n- `is_edited` -- `0` or `1`, indicates if transcription was edited\n- `split` -- dataset partition: `train`, `dev`, `test`, or `unassigned`\n- `char_per_sec` -- characters per second of transcription relative to audio duration\n- `quality_tags` -- pipe-separated quality flags applied during post-processing (see [Quality Tags](#quality-tags) below)\n\n\\*For a full list of age and gender options, see the [demographics spec](https://github.com/common-voice/spontaneous-speech/blob/main/web/src/stores/demographics.ts). These are only reported if the speaker opted in.\n\n### Reported Audios File: `ss-reported-audios-{locale}.tsv`\n\nEach row represents a reported audio clip:\n\n- `client_id` -- hashed UUID of the reporter\n- `audio_id` -- numeric identifier\n- `audio_file` -- filename\n- `duration_ms` -- audio duration\n- `prompt_id` -- prompt identifier\n- `prompt` -- prompt text\n- `reason` -- report reason: `other`, `different_language`, `personally_identifiable_information`, `offensive_speech`\n- `comment` -- free-text comment from the reporter\n- `language` -- language name\n\nNote: reported audios (regardless of reason) are excluded from the main corpus TSV. However, their metadata and audio files are still present in the release archive under `ss-reported-audios-{locale}.tsv` and `audios/`. `personally_identifiable_information` reports will be excluded in the following releases.\n\n### QA Summary File: `ss-corpus-{locale}.qa-summary.json`\n\nQuality assurance metadata documenting the processing pipeline:\n\n- Whether disfluency markers were applied to transcriptions\n- How many rows were affected by each processing step\n- Quality tagging results and problem clip counts\n\n### Quality Tags\n\nThe `quality_tags` field contains pipe-separated flags assigned during the post-processing QA step. A clip may have zero, one, or multiple tags. Tags are informational and do not exclude clips from the dataset.\n\n#### Audio duration tags\n\n| Tag | Condition | Description |\n| ------------- | --------------------- | ------------------------------- |\n| `short-audio` | duration < 2,000 ms | Audio is shorter than 2 seconds |\n| `long-audio` | duration > 300,000 ms | Audio is longer than 5 minutes |\n\n#### Transcription quality tags\n\n| Tag | Condition | Description |\n| ---------------------- | ---------------- | ----------------------------------------------------------- |\n| `transcription-length` | chars/sec < 3.0 | Transcription is unusually short relative to audio duration |\n| `speech-rate` | chars/sec > 30.0 | Transcription is unusually long relative to audio duration |\n\n#### Script and language tags\n\n| Tag | Description |\n| --------------------------------- | ------------------------------------------------------------------------- |\n| `non-allowed-script` | Transcription uses a writing system not in the language's allowed scripts |\n| `mixed-script-words` | A single word/token contains characters from multiple writing systems |\n| `mixed-script-transcription` | Transcription contains tokens from multiple writing systems |\n| `dataset-language-audio-mismatch` | Audio language verification did not match the expected dataset language |\n\n## Data Pipeline\n\nSPS data goes through a multi-stage community pipeline:\n\n1. **Question submission** -- community members submit open-ended prompts/questions\n2. **Question validation** -- questions are upvoted or reported by the community\n3. **Recording** -- contributors answer validated questions spontaneously\n4. **Transcription** -- community members transcribe the audio\n5. **Transcription validation** -- transcriptions are reviewed, possibly edited, and accepted when ready\n\n### Question status categories in statistics (`questions`)\n\n- `validated` -- questions accepted by the community (sufficient upvotes)\n- `invalidated` -- questions rejected (reported or downvoted)\n- `other` -- questions not yet fully validated\n- `has_audio` -- questions that have at least one recording\n- `avg_recordings_per_question` -- average number of audio recordings per question\n\n### Audio status categories in statistics (`audios`)\n\n- `transcribed_validated` -- audio with reviewed and accepted transcriptions\n- `transcribed_pending` -- audio transcribed but not yet validated\n- `not_transcribed` -- audio without any transcription yet\n\n### Transcription status categories in statistics (`transcriptions`)\n\n- `validated` -- transcriptions that have been reviewed and accepted\n- `not_yet_validated` -- transcriptions awaiting review\n- `edited` -- transcriptions that were modified during validation\n- `edited_pct` -- percentage of transcriptions that were edited\n\nDataset split (`train`/`dev`/`test`) is assigned only to audio with validated transcriptions. Other audio has the `split` field set to `unassigned`.\n" }, { "path": "datasets/spontaneous-speech/sps-corpus-1.0-2025-09-05.json", "content": "{\n \"locales\": {\n \"aat\": {\n \"locale\": \"aat\",\n \"clips\": 334,\n \"users\": 5,\n \"questions\": {\n \"total\": 111,\n \"validated\": 0,\n \"invalidated\": 0,\n \"other\": 111,\n \"has_audio\": 111,\n \"avg_recordings_per_question\": 3.01\n },\n \"audios\": {\n \"total\": 334,\n \"transcribed_validated\": 0,\n \"transcribed_pending\": 194,\n \"not_transcribed\": 140\n },\n \"transcriptions\": {\n \"total\": 194,\n \"validated\": 0,\n \"not_yet_validated\": 194,\n \"edited\": 0,\n \"edited_pct\": 0\n },\n \"duration\": {\n \"total_ms\": 8290188,\n \"total_hrs\": 2.3,\n \"validated_ms\": 0,\n \"validated_hrs\": 0,\n \"avg_ms\": 24821,\n \"min_ms\": 3996,\n \"max_ms\": 193536,\n \"avg_chars_per_sec\": 6.45\n },\n \"buckets\": {\n \"train\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n },\n \"dev\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n },\n \"test\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n }\n },\n \"demographics\": {\n \"age\": {\n \"\": 0,\n \"teens\": 0,\n \"twenties\": 0,\n \"thirties\": 0,\n \"fourties\": 0,\n \"fifties\": 0,\n \"sixties\": 0,\n \"seventies\": 0.7006,\n \"eighties\": 0.2994,\n \"nineties\": 0\n },\n \"gender\": {\n \"\": 0.1587,\n \"male_masculine\": 0,\n \"female_feminine\": 0.8413,\n \"intersex\": 0,\n \"transgender\": 0,\n \"non-binary\": 0,\n \"do_not_wish_to_say\": 0\n },\n \"accent\": {\n \"\": 334\n },\n \"variant\": {\n \"\": 334\n }\n },\n \"reported\": {\n \"clips\": 0,\n \"reasons\": {}\n },\n \"size\": 49122938,\n \"checksum\": \"a6a91a2be715dffe04d0275cf2cbddf49ee5c54a9eb1109a5ec95b9c0863af1e\",\n \"generated_at\": \"2026-03-10T09:37:08.423Z\"\n },\n \"ady\": {\n \"locale\": \"ady\",\n \"clips\": 783,\n \"users\": 22,\n \"questions\": {\n \"total\": 127,\n \"validated\": 33,\n \"invalidated\": 0,\n \"other\": 94,\n \"has_audio\": 127,\n \"avg_recordings_per_question\": 6.17\n },\n \"audios\": {\n \"total\": 783,\n \"transcribed_validated\": 685,\n \"transcribed_pending\": 16,\n \"not_transcribed\": 82\n },\n \"transcriptions\": {\n \"total\": 701,\n \"validated\": 685,\n \"not_yet_validated\": 16,\n \"edited\": 327,\n \"edited_pct\": 46.65\n },\n \"duration\": {\n \"total_ms\": 20066400,\n \"total_hrs\": 5.57,\n \"validated_ms\": 16741944,\n \"validated_hrs\": 4.65,\n \"avg_ms\": 25628,\n \"min_ms\": 1116,\n \"max_ms\": 132048,\n \"avg_chars_per_sec\": 7.69\n },\n \"buckets\": {\n \"train\": {\n \"clips\": 272,\n \"users\": 14,\n \"duration_ms\": 4545504,\n \"duration_hrs\": 1.26\n },\n \"dev\": {\n \"clips\": 215,\n \"users\": 4,\n \"duration_ms\": 5478588,\n \"duration_hrs\": 1.52\n },\n \"test\": {\n \"clips\": 198,\n \"users\": 4,\n \"duration_ms\": 6717852,\n \"duration_hrs\": 1.86\n }\n },\n \"demographics\": {\n \"age\": {\n \"\": 0.0358,\n \"teens\": 0,\n \"twenties\": 0.1379,\n \"thirties\": 0.1967,\n \"fourties\": 0.152,\n \"fifties\": 0.3602,\n \"sixties\": 0.1175,\n \"seventies\": 0,\n \"eighties\": 0,\n \"nineties\": 0\n },\n \"gender\": {\n \"\": 0.0817,\n \"male_masculine\": 0.2503,\n \"female_feminine\": 0.6679,\n \"intersex\": 0,\n \"transgender\": 0,\n \"non-binary\": 0,\n \"do_not_wish_to_say\": 0\n },\n \"accent\": {\n \"abzakh\": 53,\n \"bzhedug\": 75,\n \"hatikuay\": 0,\n \"shapsug\": 206,\n \"temirgoy\": 80,\n \"ubykh\": 0,\n \"user_defined\": 10,\n \"\": 370\n },\n \"variant\": {\n \"ady-Cyrl\": 410,\n \"ady-Cyrl-JOR\": 0,\n \"ady-Cyrl-SY\": 0,\n \"ady-Cyrl-TR\": 264,\n \"ady-Latn-TR-t-ady-cyrl\": 0,\n \"ady-RU\": 7,\n \"\": 102\n }\n },\n \"reported\": {\n \"clips\": 3,\n \"reasons\": {\n \"other\": 2,\n \"different_language\": 1\n }\n },\n \"size\": 111656904,\n \"checksum\": \"55761b24af39ae56ac2f99c24e9839240ffef3d0335589419c1595b94302dc74\",\n \"generated_at\": \"2026-03-10T09:38:16.916Z\"\n },\n \"aln\": {\n \"locale\": \"aln\",\n \"clips\": 1654,\n \"users\": 14,\n \"questions\": {\n \"total\": 144,\n \"validated\": 0,\n \"invalidated\": 0,\n \"other\": 144,\n \"has_audio\": 144,\n \"avg_recordings_per_question\": 11.49\n },\n \"audios\": {\n \"total\": 1654,\n \"transcribed_validated\": 1516,\n \"transcribed_pending\": 0,\n \"not_transcribed\": 138\n },\n \"transcriptions\": {\n \"total\": 1516,\n \"validated\": 1516,\n \"not_yet_validated\": 0,\n \"edited\": 103,\n \"edited_pct\": 6.79\n },\n \"duration\": {\n \"total_ms\": 39111120,\n \"total_hrs\": 10.86,\n \"validated_ms\": 37793736,\n \"validated_hrs\": 10.49,\n \"avg_ms\": 23646,\n \"min_ms\": 396,\n \"max_ms\": 73368,\n \"avg_chars_per_sec\": 6.9\n },\n \"buckets\": {\n \"train\": {\n \"clips\": 938,\n \"users\": 7,\n \"duration_ms\": 24081624,\n \"duration_hrs\": 6.68\n },\n \"dev\": {\n \"clips\": 297,\n \"users\": 3,\n \"duration_ms\": 6782436,\n \"duration_hrs\": 1.88\n },\n \"test\": {\n \"clips\": 281,\n \"users\": 3,\n \"duration_ms\": 6929676,\n \"duration_hrs\": 1.92\n }\n },\n \"demographics\": {\n \"age\": {\n \"\": 0.0707,\n \"teens\": 0.1608,\n \"twenties\": 0.0036,\n \"thirties\": 0.0871,\n \"fourties\": 0.4317,\n \"fifties\": 0.2461,\n \"sixties\": 0,\n \"seventies\": 0,\n \"eighties\": 0,\n \"nineties\": 0\n },\n \"gender\": {\n \"\": 0.4426,\n \"male_masculine\": 0.0738,\n \"female_feminine\": 0.4837,\n \"intersex\": 0,\n \"transgender\": 0,\n \"non-binary\": 0,\n \"do_not_wish_to_say\": 0\n },\n \"accent\": {\n \"\": 1654\n },\n \"variant\": {\n \"\": 1654\n }\n },\n \"reported\": {\n \"clips\": 95,\n \"reasons\": {\n \"other\": 95\n }\n },\n \"size\": 212131485,\n \"checksum\": \"c67f2cb15357d90700553bd8e7b9c343c59e51aabed7a573e23a8dae29dc0b51\",\n \"generated_at\": \"2026-03-10T09:31:32.422Z\"\n },\n \"an\": {\n \"locale\": \"an\",\n \"clips\": 19,\n \"users\": 1,\n \"questions\": {\n \"total\": 211,\n \"validated\": 0,\n \"invalidated\": 0,\n \"other\": 211,\n \"has_audio\": 19,\n \"avg_recordings_per_question\": 1\n },\n \"audios\": {\n \"total\": 19,\n \"transcribed_validated\": 19,\n \"transcribed_pending\": 0,\n \"not_transcribed\": 0\n },\n \"transcriptions\": {\n \"total\": 19,\n \"validated\": 19,\n \"not_yet_validated\": 0,\n \"edited\": 7,\n \"edited_pct\": 36.84\n },\n \"duration\": {\n \"total_ms\": 395352,\n \"total_hrs\": 0.1,\n \"validated_ms\": 395352,\n \"validated_hrs\": 0.1,\n \"avg_ms\": 20808,\n \"min_ms\": 7740,\n \"max_ms\": 46368,\n \"avg_chars_per_sec\": 9.21\n },\n \"buckets\": {\n \"train\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n },\n \"dev\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n },\n \"test\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n }\n },\n \"demographics\": {\n \"age\": {\n \"\": 0,\n \"teens\": 0,\n \"twenties\": 0,\n \"thirties\": 0,\n \"fourties\": 0,\n \"fifties\": 1,\n \"sixties\": 0,\n \"seventies\": 0,\n \"eighties\": 0,\n \"nineties\": 0\n },\n \"gender\": {\n \"\": 0,\n \"male_masculine\": 0,\n \"female_feminine\": 1,\n \"intersex\": 0,\n \"transgender\": 0,\n \"non-binary\": 0,\n \"do_not_wish_to_say\": 0\n },\n \"accent\": {\n \"user_defined\": 19\n },\n \"variant\": {\n \"\": 19\n }\n },\n \"reported\": {\n \"clips\": 0,\n \"reasons\": {}\n },\n \"size\": 2360487,\n \"checksum\": \"42a74ff19cae153dd6b0ff7be39801b21e2c9f1da49f949b49e2b02af40c9e61\",\n \"generated_at\": \"2026-03-10T09:34:14.884Z\"\n },\n \"ba\": {\n \"locale\": \"ba\",\n \"clips\": 120,\n \"users\": 3,\n \"questions\": {\n \"total\": 167,\n \"validated\": 0,\n \"invalidated\": 0,\n \"other\": 167,\n \"has_audio\": 106,\n \"avg_recordings_per_question\": 1.13\n },\n \"audios\": {\n \"total\": 120,\n \"transcribed_validated\": 6,\n \"transcribed_pending\": 114,\n \"not_transcribed\": 0\n },\n \"transcriptions\": {\n \"total\": 120,\n \"validated\": 6,\n \"not_yet_validated\": 114,\n \"edited\": 0,\n \"edited_pct\": 0\n },\n \"duration\": {\n \"total_ms\": 871308,\n \"total_hrs\": 0.24,\n \"validated_ms\": 31176,\n \"validated_hrs\": 0,\n \"avg_ms\": 7261,\n \"min_ms\": 1836,\n \"max_ms\": 31536,\n \"avg_chars_per_sec\": 7.35\n },\n \"buckets\": {\n \"train\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n },\n \"dev\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n },\n \"test\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n }\n },\n \"demographics\": {\n \"age\": {\n \"\": 0,\n \"teens\": 0,\n \"twenties\": 0,\n \"thirties\": 0.0333,\n \"fourties\": 0.1417,\n \"fifties\": 0.825,\n \"sixties\": 0,\n \"seventies\": 0,\n \"eighties\": 0,\n \"nineties\": 0\n },\n \"gender\": {\n \"\": 0,\n \"male_masculine\": 1,\n \"female_feminine\": 0,\n \"intersex\": 0,\n \"transgender\": 0,\n \"non-binary\": 0,\n \"do_not_wish_to_say\": 0\n },\n \"accent\": {\n \"\": 120\n },\n \"variant\": {\n \"\": 120\n }\n },\n \"reported\": {\n \"clips\": 0,\n \"reasons\": {}\n },\n \"size\": 5169853,\n \"checksum\": \"4c29dd518bb61e449cb32690e4cdbfffd8f9675aa3022fecc5df7361c227c909\",\n \"generated_at\": \"2026-03-10T10:02:53.631Z\"\n },\n \"bas\": {\n \"locale\": \"bas\",\n \"clips\": 773,\n \"users\": 11,\n \"questions\": {\n \"total\": 74,\n \"validated\": 0,\n \"invalidated\": 0,\n \"other\": 74,\n \"has_audio\": 74,\n \"avg_recordings_per_question\": 10.45\n },\n \"audios\": {\n \"total\": 773,\n \"transcribed_validated\": 734,\n \"transcribed_pending\": 38,\n \"not_transcribed\": 1\n },\n \"transcriptions\": {\n \"total\": 772,\n \"validated\": 734,\n \"not_yet_validated\": 38,\n \"edited\": 500,\n \"edited_pct\": 64.77\n },\n \"duration\": {\n \"total_ms\": 19354320,\n \"total_hrs\": 5.37,\n \"validated_ms\": 18232452,\n \"validated_hrs\": 5.06,\n \"avg_ms\": 25038,\n \"min_ms\": 4680,\n \"max_ms\": 64116,\n \"avg_chars_per_sec\": 8.86\n },\n \"buckets\": {\n \"train\": {\n \"clips\": 256,\n \"users\": 4,\n \"duration_ms\": 6984828,\n \"duration_hrs\": 1.94\n },\n \"dev\": {\n \"clips\": 200,\n \"users\": 3,\n \"duration_ms\": 5688144,\n \"duration_hrs\": 1.58\n },\n \"test\": {\n \"clips\": 278,\n \"users\": 4,\n \"duration_ms\": 5559480,\n \"duration_hrs\": 1.54\n }\n },\n \"demographics\": {\n \"age\": {\n \"\": 0,\n \"teens\": 0.1889,\n \"twenties\": 0,\n \"thirties\": 0.1863,\n \"fourties\": 0.5304,\n \"fifties\": 0.0944,\n \"sixties\": 0,\n \"seventies\": 0,\n \"eighties\": 0,\n \"nineties\": 0\n },\n \"gender\": {\n \"\": 0.5705,\n \"male_masculine\": 0.4295,\n \"female_feminine\": 0,\n \"intersex\": 0,\n \"transgender\": 0,\n \"non-binary\": 0,\n \"do_not_wish_to_say\": 0\n },\n \"accent\": {\n \"\": 773\n },\n \"variant\": {\n \"\": 773\n }\n },\n \"reported\": {\n \"clips\": 0,\n \"reasons\": {}\n },\n \"size\": 115061095,\n \"checksum\": \"43722623752fe9b6e0409107309515dd26e655560afe900666d6876c07ce774a\",\n \"generated_at\": \"2026-03-10T10:02:36.086Z\"\n },\n \"bew\": {\n \"locale\": \"bew\",\n \"clips\": 1336,\n \"users\": 21,\n \"questions\": {\n \"total\": 200,\n \"validated\": 0,\n \"invalidated\": 0,\n \"other\": 200,\n \"has_audio\": 199,\n \"avg_recordings_per_question\": 6.71\n },\n \"audios\": {\n \"total\": 1336,\n \"transcribed_validated\": 1270,\n \"transcribed_pending\": 12,\n \"not_transcribed\": 54\n },\n \"transcriptions\": {\n \"total\": 1282,\n \"validated\": 1270,\n \"not_yet_validated\": 12,\n \"edited\": 1127,\n \"edited_pct\": 87.91\n },\n \"duration\": {\n \"total_ms\": 37777068,\n \"total_hrs\": 10.49,\n \"validated_ms\": 35235684,\n \"validated_hrs\": 9.78,\n \"avg_ms\": 28276,\n \"min_ms\": 3168,\n \"max_ms\": 156996,\n \"avg_chars_per_sec\": 9.27\n },\n \"buckets\": {\n \"train\": {\n \"clips\": 907,\n \"users\": 13,\n \"duration_ms\": 24028920,\n \"duration_hrs\": 6.67\n },\n \"dev\": {\n \"clips\": 150,\n \"users\": 3,\n \"duration_ms\": 5609268,\n \"duration_hrs\": 1.55\n },\n \"test\": {\n \"clips\": 213,\n \"users\": 5,\n \"duration_ms\": 5597496,\n \"duration_hrs\": 1.55\n }\n },\n \"demographics\": {\n \"age\": {\n \"\": 0.6557,\n \"teens\": 0,\n \"twenties\": 0.1198,\n \"thirties\": 0.0756,\n \"fourties\": 0.149,\n \"fifties\": 0,\n \"sixties\": 0,\n \"seventies\": 0,\n \"eighties\": 0,\n \"nineties\": 0\n },\n \"gender\": {\n \"\": 0.6557,\n \"male_masculine\": 0.3443,\n \"female_feminine\": 0,\n \"intersex\": 0,\n \"transgender\": 0,\n \"non-binary\": 0,\n \"do_not_wish_to_say\": 0\n },\n \"accent\": {\n \"\": 1336\n },\n \"variant\": {\n \"\": 1336\n }\n },\n \"reported\": {\n \"clips\": 0,\n \"reasons\": {}\n },\n \"size\": 224868778,\n \"checksum\": \"d7d9a4f36f8f1bc317bc5f743e79fa13036723874c272bb70a3a4dfdd35d9663\",\n \"generated_at\": \"2026-03-10T09:05:59.435Z\"\n },\n \"br\": {\n \"locale\": \"br\",\n \"clips\": 35,\n \"users\": 5,\n \"questions\": {\n \"total\": 61,\n \"validated\": 1,\n \"invalidated\": 0,\n \"other\": 60,\n \"has_audio\": 24,\n \"avg_recordings_per_question\": 1.46\n },\n \"audios\": {\n \"total\": 35,\n \"transcribed_validated\": 29,\n \"transcribed_pending\": 5,\n \"not_transcribed\": 1\n },\n \"transcriptions\": {\n \"total\": 34,\n \"validated\": 29,\n \"not_yet_validated\": 5,\n \"edited\": 3,\n \"edited_pct\": 8.82\n },\n \"duration\": {\n \"total_ms\": 443160,\n \"total_hrs\": 0.12,\n \"validated_ms\": 322452,\n \"validated_hrs\": 0.08,\n \"avg_ms\": 12662,\n \"min_ms\": 1980,\n \"max_ms\": 37692,\n \"avg_chars_per_sec\": 7.59\n },\n \"buckets\": {\n \"train\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n },\n \"dev\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n },\n \"test\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n }\n },\n \"demographics\": {\n \"age\": {\n \"\": 0,\n \"teens\": 0,\n 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},\n \"accent\": {\n \"user_defined\": 7,\n \"\": 12\n },\n \"variant\": {\n \"\": 16\n }\n },\n \"reported\": {\n \"clips\": 0,\n \"reasons\": {}\n },\n \"size\": 1426301,\n \"checksum\": \"b7974bfa907f001b4d509708d7078b192ba0ebdc2a82f419ddca528f34c99eee\",\n \"generated_at\": \"2026-03-15T02:01:31.090Z\"\n },\n \"tuq\": {\n \"locale\": \"tuq\",\n \"clips\": 87,\n \"users\": 3,\n \"questions\": {\n \"total\": 70,\n \"validated\": 0,\n \"invalidated\": 0,\n \"other\": 70,\n \"has_audio\": 70,\n \"avg_recordings_per_question\": 1.24\n },\n \"audios\": {\n \"total\": 87,\n \"transcribed_validated\": 0,\n \"transcribed_pending\": 0,\n \"not_transcribed\": 87\n },\n \"transcriptions\": {\n \"total\": 0,\n \"validated\": 0,\n \"not_yet_validated\": 0,\n \"edited\": 0,\n \"edited_pct\": 0\n },\n \"duration\": {\n \"total_ms\": 2484000,\n \"total_hrs\": 0.69,\n \"validated_ms\": 0,\n \"validated_hrs\": 0,\n \"avg_ms\": 28552,\n \"min_ms\": 1080,\n \"max_ms\": 109476,\n \"avg_chars_per_sec\": 0\n },\n \"buckets\": {\n \"train\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n },\n \"dev\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n },\n \"test\": {\n \"clips\": 0,\n \"users\": 0,\n \"duration_ms\": 0,\n \"duration_hrs\": 0\n }\n },\n \"demographics\": {\n \"age\": {\n \"\": 0,\n \"teens\": 0,\n \"twenties\": 0.1954,\n \"thirties\": 0,\n \"fourties\": 0,\n \"fifties\": 0.8046,\n \"sixties\": 0,\n \"seventies\": 0,\n \"eighties\": 0,\n \"nineties\": 0\n },\n \"gender\": {\n \"\": 1,\n \"male_masculine\": 0,\n \"female_feminine\": 0,\n \"intersex\": 0,\n \"transgender\": 0,\n \"non-binary\": 0,\n \"do_not_wish_to_say\": 0\n },\n \"accent\": {\n \"\": 87\n },\n \"variant\": {\n \"\": 87\n }\n },\n \"reported\": {\n \"clips\": 0,\n \"reasons\": {}\n },\n \"size\": 14240916,\n \"checksum\": \"0be8d0c8fc8011818198d490606d8193d4098fb1528a8a575521d9019137115c\",\n \"generated_at\": \"2026-03-15T02:07:38.686Z\"\n }\n },\n \"totalDurationMs\": 208610388,\n \"totalValidDurationMs\": 9728604,\n \"totalHrs\": 58,\n \"totalValidHrs\": 3\n}\n" }, { "path": "helpers/.eslintrc.json", "content": "{\n \"env\": {\n \"node\": true,\n \"commonjs\": false,\n \"es2021\": true\n },\n \"extends\": [\n \"eslint:recommended\"\n ],\n \"parserOptions\": {\n \"ecmaVersion\": 12\n },\n \"rules\": {\n \"no-console\": \"off\"\n }\n}\n" }, { "path": "helpers/README.md", "content": "# CV Dataset Helper Scripts\n\nThis directory contains helper scripts for processing and analyzing Common Voice dataset statistics.\n\n## Dataset Types\n\n- `scripted-speech` — Classic Common Voice (SCS)\n- `spontaneous-speech` — Spontaneous Speech (SPS)\n- `code-switching` — Code Switching (CS, not yet implemented)\n\n## Shared Module\n\n[`common.js`](common.js) contains shared constants and utilities used by all helpers:\n\n- `DATASET_TYPES` — list of valid dataset types\n- `buildFilePath` / `buildFolderPath` — path builders for `datasets//`\n- `getLocaleFromFilename` — extracts locale from `stats_{locale}.json`\n- `validateDatasetType` — validates and throws on unknown types\n\n## Commands\n\nAll commands follow the pattern: `node helpers/