Apply OpenMDW-1.1 with the People_Speech CC BY-SA 4.0 exception

Apply the license statement supplied by Legal. Update dataset license metadata, both license sections, corpus license mapping, and People_Speech download wording. Add the unmodified OpenMDW-1.1 license, the official CC BY-SA 4.0 legal text, and a subset notice. Dataset files, configuration paths, statistics, citation, and reports are unchanged.

LICENSE

@@ -0,0 +1,49 @@
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LICENSES/CC-BY-SA-4.0.txt

@@ -0,0 +1,428 @@
+Attribution-ShareAlike 4.0 International
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NOTICE

@@ -0,0 +1,31 @@
+Granary-v2 dataset license notice
+
+This dataset is governed by the OpenMDW License Agreement, version 1.1, except for the People_Speech subset, which is governed by the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).
+
+Subset mapping
+--------------
+People_Speech identifies the released people_speech corpus.
+Manifest: en/people_speech/en_asr.jsonl.gz
+Corpus configuration: en_people_speech
+Combined language configuration: en
+
+CC BY-SA 4.0 applies to the People_Speech records, including when the records
+are accessed through the combined en configuration. OpenMDW-1.1 applies to
+the other released dataset manifests. This mapping describes which license
+applies to each subset.
+
+License texts
+-------------
+LICENSE contains the unmodified OpenMDW License Agreement, version 1.1.
+LICENSES/CC-BY-SA-4.0.txt contains the Creative Commons Attribution-ShareAlike
+4.0 International Public License.
+
+Official license sources:
+https://openmdw.ai/license/1-1/
+https://creativecommons.org/licenses/by-sa/4.0/legalcode.txt
+
+Source materials
+----------------
+The repository distributes label manifests. Obtain source audio separately
+from its distributors under their applicable terms. The dataset card retains
+source-corpus references and upstream license information.

README.md

@@ -1,5 +1,7 @@
 ---
-license: cc-by-4.0
+license:
+- openmdw-1.1
+- cc-by-sa-4.0
 task_categories:
 - automatic-speech-recognition
 - translation
@@ -1887,7 +1889,7 @@ configs:
 # Granary-v2: Multilingual Speech Recognition, Translation and Instruction Data
 
 **Granary-v2** is the second release of NVIDIA's large-scale, open-source multilingual
-speech dataset. It re-processes a broad set of permissively-licensed source corpora through
+speech dataset. It re-processes a broad set of source corpora through
 an entirely new labelling pipeline that produces not just transcripts and translations, but
 inverse text normalization, captioning, code-switching and speech-QA targets, plus
 ready-to-train instruction pairs.
@@ -1918,28 +1920,30 @@ Arabic, Assamese, Bengali, Bulgarian, Chinese, Croatian, Czech, Danish, Dutch, E
 
 ## Hours by corpus
 
-| Corpus | Languages | Hours | High-quality h | AST (X→en) h | AST (en→X) h | Underlying licence |
-|---|---:|---:|---:|---:|---:|---|
-| **[VoxPopuli (MOSEL labels)](https://mt.fbk.eu/mosel/)** (`voxpopuli`) | 23 | 380,711 | 123,192 | 84,999 | 8,990 | CC0 / CC-BY-4.0 labels |
-| **[LibriLight](https://github.com/facebookresearch/libri-light)** (`librilight`) | 1 | 49,334 | 25,898 | 0 | 25,725 | MIT |
-| **[People's Speech](https://mlcommons.org/en/peoples-speech/)** (`people_speech`) | 1 | 8,598 | 3,807 | 0 | 826 | CC-BY-4.0 |
-| **[Multilingual LibriSpeech](https://www.openslr.org/94/)** (`mls`) | 8 | 7,805 | 3,073 | 1,848 | 103 | CC-BY-4.0 |
-| **[FalAR](https://huggingface.co/datasets/inesc-id/FalAR)** (`falar`) | 1 | 4,715 | 1,605 | 1,602 | — | CC-BY-4.0 |
-| **[Common Voice 26.0](https://commonvoice.mozilla.org/en/datasets)** (`mcv26`) | 39 | 3,871 | 2,837 | 2,372 | 496 | CC0-1.0 |
-| **[National Speech Corpus](https://www.imda.gov.sg/NationalSpeechCorpus)** (`nsc`) | 1 | 2,785 | 1,647 | 0 | 1,689 | Singapore Open Data Licence |
-| **[VoxPopuli (re-labelled)](https://github.com/facebookresearch/voxpopuli)** (`voxpopuli_improved`) | 16 | 1,277 | 527 | 562 | 160 | CC0 / CC-BY-4.0 labels |
-| **[Golos](https://github.com/salute-developers/golos)** (`golos`) | 1 | 1,208 | 715 | 744 | — | Custom (Salute Developers) |
-| **[Europarl-ASR](https://www.mllp.upv.es/git-pub/ggarces/Europarl-ASR/)** (`europarl`) | 1 | 1,023 | 605 | 0 | 613 | CC-BY-4.0 |
-| **[LibriSpeech-PC](https://www.openslr.org/145/)** (`librispeech_pc`) | 1 | 953 | 953 | 0 | 686 | CC-BY-4.0 |
-| **[FLEURS](https://huggingface.co/datasets/google/fleurs)** (`fleurs`) | 48 | 412 | 213 | 226 | 5 | CC-BY-4.0 |
-| **[Dusha](https://github.com/salute-developers/golos/tree/master/dusha)** (`dusha`) | 1 | 204 | 104 | 143 | — | Custom (Salute Developers) |
-| **[VCTK](https://datashare.ed.ac.uk/handle/10283/3443)** (`vctk`) | 1 | 82 | 76 | 0 | 76 | ODC-By 1.0 |
-| **[AMI Meeting Corpus](https://lhotse.readthedocs.io/en/stable/_modules/lhotse/recipes/ami.html)** (`ami`) | 1 | 70 | 24 | 0 | 4 | CC-BY-4.0 |
-| **[Google Speech Commands](https://www.tensorflow.org/datasets/catalog/speech_commands)** (`google_speech_commands`) | 1 | 15 | 15 | 0 | 2 | CC-BY-4.0 |
-| **Total** | **48** | **463,062** | **~165,300** | **92,496** | **39,375** | |
+| Corpus | Languages | Hours | High-quality h | AST (X→en) h | AST (en→X) h | Upstream source terms | Released manifest license |
+|---|---:|---:|---:|---:|---:|---|---|
+| **[VoxPopuli (MOSEL labels)](https://mt.fbk.eu/mosel/)** (`voxpopuli`) | 23 | 380,711 | 123,192 | 84,999 | 8,990 | CC0 / CC-BY-4.0 labels | [OpenMDW-1.1](LICENSE) |
+| **[LibriLight](https://github.com/facebookresearch/libri-light)** (`librilight`) | 1 | 49,334 | 25,898 | 0 | 25,725 | MIT | [OpenMDW-1.1](LICENSE) |
+| **[People's Speech](https://mlcommons.org/en/peoples-speech/)** (`people_speech`) | 1 | 8,598 | 3,807 | 0 | 826 | See source distributor | [CC BY-SA 4.0](LICENSES/CC-BY-SA-4.0.txt) |
+| **[Multilingual LibriSpeech](https://www.openslr.org/94/)** (`mls`) | 8 | 7,805 | 3,073 | 1,848 | 103 | CC-BY-4.0 | [OpenMDW-1.1](LICENSE) |
+| **[FalAR](https://huggingface.co/datasets/inesc-id/FalAR)** (`falar`) | 1 | 4,715 | 1,605 | 1,602 | — | CC-BY-4.0 | [OpenMDW-1.1](LICENSE) |
+| **[Common Voice 26.0](https://commonvoice.mozilla.org/en/datasets)** (`mcv26`) | 39 | 3,871 | 2,837 | 2,372 | 496 | CC0-1.0 | [OpenMDW-1.1](LICENSE) |
+| **[National Speech Corpus](https://www.imda.gov.sg/NationalSpeechCorpus)** (`nsc`) | 1 | 2,785 | 1,647 | 0 | 1,689 | Singapore Open Data Licence | [OpenMDW-1.1](LICENSE) |
+| **[VoxPopuli (re-labelled)](https://github.com/facebookresearch/voxpopuli)** (`voxpopuli_improved`) | 16 | 1,277 | 527 | 562 | 160 | CC0 / CC-BY-4.0 labels | [OpenMDW-1.1](LICENSE) |
+| **[Golos](https://github.com/salute-developers/golos)** (`golos`) | 1 | 1,208 | 715 | 744 | — | Custom (Salute Developers) | [OpenMDW-1.1](LICENSE) |
+| **[Europarl-ASR](https://www.mllp.upv.es/git-pub/ggarces/Europarl-ASR/)** (`europarl`) | 1 | 1,023 | 605 | 0 | 613 | CC-BY-4.0 | [OpenMDW-1.1](LICENSE) |
+| **[LibriSpeech-PC](https://www.openslr.org/145/)** (`librispeech_pc`) | 1 | 953 | 953 | 0 | 686 | CC-BY-4.0 | [OpenMDW-1.1](LICENSE) |
+| **[FLEURS](https://huggingface.co/datasets/google/fleurs)** (`fleurs`) | 48 | 412 | 213 | 226 | 5 | CC-BY-4.0 | [OpenMDW-1.1](LICENSE) |
+| **[Dusha](https://github.com/salute-developers/golos/tree/master/dusha)** (`dusha`) | 1 | 204 | 104 | 143 | — | Custom (Salute Developers) | [OpenMDW-1.1](LICENSE) |
+| **[VCTK](https://datashare.ed.ac.uk/handle/10283/3443)** (`vctk`) | 1 | 82 | 76 | 0 | 76 | ODC-By 1.0 | [OpenMDW-1.1](LICENSE) |
+| **[AMI Meeting Corpus](https://lhotse.readthedocs.io/en/stable/_modules/lhotse/recipes/ami.html)** (`ami`) | 1 | 70 | 24 | 0 | 4 | CC-BY-4.0 | [OpenMDW-1.1](LICENSE) |
+| **[Google Speech Commands](https://www.tensorflow.org/datasets/catalog/speech_commands)** (`google_speech_commands`) | 1 | 15 | 15 | 0 | 2 | CC-BY-4.0 | [OpenMDW-1.1](LICENSE) |
+| **Total** | **48** | **463,062** | **~165,300** | **92,496** | **39,375** | | |
 
 Totals describe only the manifests in this public release. ASR hours and translation into English are calculated from the reported corpus durations. High-quality and translation-out totals are approximate because the source values are rounded. Translation targets do not add audio hours.
 
+The upstream source terms describe the original corpora. The released manifest license column describes the files in this repository.
+
 This repository ships the manifests. Each corpus name above links to where its
 audio is distributed — obtain it from there, under that corpus's own terms.
 
@@ -1959,8 +1963,7 @@ is `cv-corpus-26.0-2026-06-12/de/clips/common_voice_de_21137340.opus` in the Com
 Voice 26.0 release. Fetch a corpus from its own distributor, then join on that
 suffix.
 
-Each corpus comes with its own licence, listed in the [Hours by corpus](#hours-by-corpus)
-table above — please follow it when downloading and using the audio.
+Source audio remains subject to its distributor's terms. See the upstream source terms in the [Hours by corpus](#hours-by-corpus) table. The released manifest licenses are listed separately.
 
 The four routes below are ordered by how much work the download takes. Open the one
 your corpus is in.
@@ -2007,7 +2010,7 @@ pip install -U "huggingface_hub[cli]" datasets
 
 | Corpus | Hours | How |
 |---|---:|---|
-| **People's Speech** (`people_speech`) | 8,598 | `hf download MLCommons/peoples_speech --repo-type dataset --include "clean/*"` — we ship only the CC-BY, government-origin carve-out of `clean` |
+| **People's Speech** (`people_speech`) | 8,598 | `hf download MLCommons/peoples_speech --repo-type dataset --include "clean/*"` — we release labels for the government-origin subset of `clean`. The released manifests are governed by [CC BY-SA 4.0](LICENSES/CC-BY-SA-4.0.txt). Obtain source audio under the distributor's terms. |
 | **FalAR** (`falar`) | 4,715 | `load_dataset("inesc-id/FalAR")` — the audio is embedded in the Parquet shards, so load it rather than fetching files |
 | **FLEURS** (`fleurs`) | 412 | `load_dataset("google/fleurs", "ar_eg")` — the config is `<lang>_<region>` |
 
@@ -2164,9 +2167,14 @@ plain ASR or AST model.
 
 ## 📄 License
 
-- **Manifests in this repository**: CC-BY-4.0
-- **Original audio corpora**: see the per-corpus licence column above; each corpus
-  must be obtained from its own distributor under its own terms.
+This dataset is governed by the OpenMDW License Agreement, version 1.1, except for the People_Speech subset, which is governed by the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).
+
+- **OpenMDW-1.1:** See [LICENSE](LICENSE) and the [official agreement](https://openmdw.ai/license/1-1/).
+- **People_Speech exception:** See [CC BY-SA 4.0](LICENSES/CC-BY-SA-4.0.txt) and the [official license](https://creativecommons.org/licenses/by-sa/4.0/).
+
+`People_Speech` refers to the released `people_speech` corpus, stored at `en/people_speech/en_asr.jsonl.gz` and available through configuration `en_people_speech`. CC BY-SA 4.0 also applies to these records when they are accessed through the combined `en` configuration. OpenMDW-1.1 applies to the other released manifests. See [NOTICE](NOTICE) for the subset mapping.
+
+Obtain source audio separately from its distributors under the applicable upstream terms. The licenses above describe the dataset materials released in this repository.
 
 ## 📚 Citation
 
@@ -2208,8 +2216,9 @@ Relationship to Previous Version(s): Granary-v2 replaces the labelling pipeline
 
 ## License/Terms of Use:
 
-- **Manifests in this repository:** CC-BY-4.0.
-- **Original audio corpora:** Obtain each corpus from its own distributor under its own terms. See the per-corpus licence column in the [Hours by corpus](#hours-by-corpus) table.
+This dataset is governed by the OpenMDW License Agreement, version 1.1, except for the People_Speech subset, which is governed by the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).
+
+See [License](#license), [LICENSE](LICENSE), [CC BY-SA 4.0](LICENSES/CC-BY-SA-4.0.txt), and [NOTICE](NOTICE) for the license texts and subset mapping. Obtain source audio separately from its distributors under their applicable terms.
 
 ## Intended Usage: