| --- |
| license: |
| - cc0-1.0 |
| - cc-by-4.0 |
| - cc-by-2.0 |
| - apache-2.0 |
| - cc-by-sa-4.0 |
| pretty_name: "IPAPACK++ Cleaned-Label Overlay (v1)" |
| task_categories: |
| - automatic-speech-recognition |
| language: |
| - en |
| - de |
| - fr |
| - es |
| - it |
| - pt |
| - nl |
| - sv |
| - pl |
| - cs |
| - sk |
| - hr |
| - ro |
| - mt |
| - eu |
| - gl |
| - ca |
| - be |
| - ru |
| - uk |
| - ba |
| - tr |
| - kk |
| - uz |
| - kmr |
| - rw |
| - sw |
| - so |
| - ar |
| - ur |
| - sd |
| - bn |
| - ta |
| - si |
| - hu |
| - lt |
| - th |
| - my |
| - vi |
| - yue |
| - zh |
| - ko |
| - ja |
| - ha |
| - yo |
| tags: |
| - phoneme-recognition |
| - ipa |
| - multilingual |
| - label-overlay |
| - ipapack |
| - g2p |
| - data-cleaning |
| - labels-only |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # IPAPACK++ Cleaned-Label Overlay (v1) |
|
|
| A **labels-only, strictly additive** cleaned overlay on [IPAPACK++](https://huggingface.co/datasets/anyspeech/ipapack_plus_meta) (Zhu et al., ZIPA, ACL 2025): a regenerated `phones_v1_clean` label alongside the paper's original `phones`, a `drop_flag`, a per-utterance `sigs` list, and a per-row `license`. Audio is not bundled; original labels are preserved on every row. |
|
|
| > **Full documentation — the audit, methodology, signatures, and limitations — is forthcoming.** This card currently carries the licensing and basic-usage information only. |
|
|
| **Fields.** Train on `cut["supervisions"][0]["custom"]["phones_v1_clean"]`; skip rows where `…["custom"]["drop_flag"]` is `True`; per-row source license in `cut["custom"]["license"]`; paper baseline in `…["custom"].get("original") or …["custom"].get("phones")`. Audio is not included — re-pair from the public `anyspeech/ipapack_plus_*` shards by `cut.id`. |
|
|
| ## Source corpora & licenses |
|
|
| This dataset is an **additive, labels-only overlay**. It redistributes **regenerated IPA phoneme labels (`phones_v1_clean`), orthographic transcript text, utterance IDs, and a Lhotse cut manifest — NO AUDIO.** Re-pair audio yourself from the sources below. Original IPAPACK++ `phones` are preserved on every row. |
|
|
| This is a **mixed-license** release. The applicable license is recorded **per row** in the `license` field. **Rows from ShareAlike sources are offered under CC-BY-SA and may *not* be treated as permissively licensed.** |
|
|
| > Primary citation: Zhu, J., Samir, F., Chodroff, E., Mortensen, D. R. *ZIPA: A Family of Efficient Models for Multilingual Phone Recognition.* ACL 2025. <https://aclanthology.org/2025.acl-long.961/> · arXiv:2505.23170 |
|
|
| | Source | Rows | License | Attribution / citation | |
| |---|--:|---|---| |
| | Common Voice (`cv:*`) | 5,285,019 | CC0-1.0 | Mozilla Common Voice — <https://commonvoice.mozilla.org/> | |
| | Multilingual LibriSpeech (`mls:*`, SLR94) | 1,445,339 | CC-BY-4.0 | Pratap et al. (2020) — <https://www.openslr.org/94/> · labels regenerated | |
| | FLEURS (`fleurs:*`) | 155,927 | CC-BY-4.0 | Conneau et al. (2022), Google — <https://huggingface.co/datasets/google/fleurs> · labels regenerated | |
| | LibriSpeech (`openslr:librispeech/*`, SLR12) | 281,209 | CC-BY-4.0 | Panayotov et al. (2015) — <https://www.openslr.org/12/> · labels regenerated | |
| | AISHELL-1 (`aishell`, SLR33) | 120,078 | Apache-2.0 | Bu et al. (2017), arXiv:1709.05522 — <https://www.openslr.org/33/> | |
| | Kazakh KSC (`openslr:kazakh`, SLR102) | 147,165 | CC-BY-4.0 | Khassanov et al. (EACL 2021) — <https://www.openslr.org/102/> · labels regenerated | |
| | IISc-MILE Tamil (`openslr:tamil`, SLR127) | 77,136 | CC-BY-2.0 | Madhavaraj et al. (2022), arXiv:2207.13331 — <https://www.openslr.org/127/> · labels regenerated | |
| | **Bengali ASR (`openslr:bengali`, SLR53)** | 218,377 | **CC-BY-SA-4.0** | © 2016–2018 Google, Inc.; Kjartansson et al. (SLTU 2018) — <https://www.openslr.org/53/> · **ShareAlike** | |
| | **Javanese ASR (`openslr:javanese`, SLR35)** | 184,984 | **CC-BY-SA-4.0** | © 2016–2017 Google, Inc. (w/ Reykjavik Univ., Univ. Gadjah Mada) — <https://www.openslr.org/35/> · **ShareAlike** | |
| | **Sinhala ASR (`openslr:shinhala`, SLR52)** | 178,001 | **CC-BY-SA-4.0** | © 2016–2018 Google, Inc.; Kjartansson et al. (SLTU 2018) — <https://www.openslr.org/52/> · **ShareAlike** | |
| | **Kazakh KSD (`openslr:kazakh2/*`, SLR140)** | 196,944 | **CC-BY-SA-4.0** | Mansurova & Kadyrbek (2023), Al-Farabi Kazakh National Univ. — <https://www.openslr.org/140/> · source CC-BY-SA-3.0, **adapted labels offered under CC-BY-SA-4.0 (permitted ShareAlike upgrade)** | |
|
|
| **Excluded:** Magicdata — non-redistributable per IPAPACK++; confirmed absent from this release. |
|
|
| **ShareAlike notice.** The Bengali, Javanese, Sinhala, and Kazakh-KSD slices are offered under **CC-BY-SA-4.0** — their regenerated IPA labels are Adapted Material. (Bengali/Javanese/Sinhala sources are CC-BY-SA-4.0; the Kazakh-KSD source is CC-BY-SA-3.0, upgraded to 4.0 under the ShareAlike "this version or later" clause.) Changes were made (phoneme labels regenerated via grapheme-to-phoneme). |
|
|
| **G2P toolchain (credit, not a license obligation on the labels).** Labels were generated with OLaPh (Wirth, 2025; en/de/fr/cs), Epitran, phonemizer + espeak-ng (nl/sv), CharsiuG2P, pypinyin + pinyin-to-ipa, ToJyutping, viphoneme, PyThaiNLP, indic_nlp_library, and commonvoice-utils. espeak-ng is GPL-3.0 and commonvoice-utils is AGPL-3.0, used in-process during generation; per the FSF GPL FAQ, **program output is not covered by the program's copyright**, so no GPL/AGPL obligation attaches to these IPA label strings. |
|
|
| --- |
|
|
| ## Citation |
|
|
| Please cite **both** this overlay and the original IPAPACK++ paper. |
|
|
| ```bibtex |
| @misc{kim2026ipapack_cleanup_v1, |
| title = {Cleaning IPAPACK++: A Surgical Audit of Multilingual Phoneme Labels}, |
| author = {Kim, Junehwi}, |
| year = {2026}, |
| note = {IPAPACK++ Cleaned-Label Overlay (v1), Hugging Face Datasets}, |
| } |
| ``` |
|
|
| > Zhu, Jian and Samir, Farhan and Chodroff, Eleanor and Mortensen, David R. *ZIPA: A Family of Efficient Models for Multilingual Phone Recognition.* Proc. 63rd ACL 2025 (Vol. 1: Long Papers). <https://aclanthology.org/2025.acl-long.961/> |
|
|
| The label-cleanup work and this release are by Junehwi Kim; compute was a local 2080 Ti × 3. |
|
|
