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sejongwang
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ipapack_plus_clean

Tasks:
Automatic Speech Recognition
Languages:
English
German
French
Size:
1M<n<10M
ArXiv:
Tags:
phoneme-recognition
ipa
multilingual
label-overlay
ipapack
g2p
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IPAPACK++ Cleaned-Label Overlay (v1) — labels-only additive release
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metadata 
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++ (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.

@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.