ZIPA: A family of efficient models for multilingual phone recognition
Paper • 2505.23170 • Published
Datasets:
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Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 101, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 156, in _generate_tables
for file in files_iterable:
^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1445, in _iter_from_urlpaths
raise FileNotFoundError(urlpath)
FileNotFoundError: gzip://cuts.000000.jsonl::hf://datasets/sejongwang/ipapack_plus_clean@f80fee53c1b6c396ab8fdac337b7cda99dbc3c17/cuts.000000.jsonl.gz
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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.
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