datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
iPanTSMini
Contact
For commercial licensing, industry collaboration, or partnership inquiries related to BodyMaps datasets, please contact hello@thebodymaps.com or visit www.thebodymaps.com/contact.
ghana-speech-ipa
Ghana Speech — Audio with IPA Transcripts
Speech with both transcript forms: the original orthography and the IPA phoneme
sequence read off the audio by ASR. Each language is a subset, with real
train/validation splits.
from datasets import load_dataset
ds = load_dataset("ghanaopendata/ghana-speech-ipa", "Akuapem_Twi_twi", split="train")
ds[0]["audio"] # decoded waveform, 16 kHz
ds[0]["text"] # original orthography
ds[0]["ipa"] # IPA phonemes
369,347 clips · ~747 h… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/ghana-speech-ipa.Crop_Disease_Image_Dataset
Crop Disease Image Dataset (5 Crops, 19 Classes)
Dataset Summary
The Crop Disease Image Dataset is a curated, high-quality agricultural image dataset designed for computer vision, deep learning, and smart farming applications. It contains 22,169 RGB leaf images spanning 5 major crops across 19 distinct healthy and diseased classes.
This dataset was constructed by collecting, filtering, and standardizing images from multiple open-source agricultural repositories… See the full description on the dataset page: https://huggingface.co/datasets/ipartzix/Crop_Disease_Image_Dataset.voxcpm2-ghana-speech-ipa-latents
VoxCPM2 Ghana — Precomputed AudioVAE Latents
Precomputed VoxCPM-2 AudioVAE latents for a Ghanaian multilingual TTS fine-tune,
ready for training with the official train_voxcpm_finetune.py
(train_manifest: ghana-latents). No audio decoding or VAE encoding needed at train
time — the latent feat is fed straight to the VoxCPM-2 model with the IPA transcript.
Each language is a dataset subset:
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/voxcpm2-ghana-speech-ipa-latents.new-twi-tts-aligned-ipa
new-twi-tts-aligned + IPA phonemes
ghanaopendata/new-twi-tts-aligned with a machine-generated IPA phoneme
transcription for every clip, produced with
ghananlpcommunity/ghana-speech-phoneme-asr.
Audio included — this is self-contained, no join with the source dataset needed.
Contents
split
clips
hours
phoneme units
mean units/clip
test
16,140
17.24
663,140
41.1
train
145,258
155.21
5,945,389
40.9
Columns
column
type
meaning… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/new-twi-tts-aligned-ipa.ipapack_plus_train_4ipapack_plus_train_3ipapack_plus_train_1ipapack_plus_train_2ghana-speech-ipa
Ghana Speech — Audio with IPA Transcripts
Speech with both transcript forms: the original orthography and the IPA phoneme
sequence read off the audio by ASR. Each language is a subset, with real
train/validation splits.
from datasets import load_dataset
ds = load_dataset("ghanaopendata/ghana-speech-ipa", "Akuapem_Twi_twi", split="train")
ds[0]["audio"] # decoded waveform, 16 kHz
ds[0]["text"] # original orthography
ds[0]["ipa"] # IPA phonemes
369,347 clips · ~747 h… See the full description on the dataset page: https://huggingface.co/datasets/ghananlpcommunity/ghana-speech-ipa.IPA-BabyLM
Phonemized BabyLM Pre-training Data
This corpus contains the strict and strict-small portions of the BabyLM 2024 pre-training data converted to phonemes using G2P+. The original orthographic data is also available.
The scripts used to produce the dataset are available here.
This data was used in From Babble to Words: Pre-Training Language Models on Continuous Streams of Phonemes. See the G2P+ paper here.
ipa-childes-split
IPA-CHILDES split
This dataset is a postprocessed version of the IPA-CHILDES dataset. In particular,
the following changes have been implemented:
column processed_gloss dropped as it duplicates information of gloss up to punctuation
column gloss renamed as sentence, and column ipa_transcription renamed as ipa_g2p_plus (cf. G2P+)
column lang added to make IETF language tags accessible for training and inference; language tags normalized by the langcodes package
columns ipa_espeak… See the full description on the dataset page: https://huggingface.co/datasets/fdemelo/ipa-childes-split.african-speech-ipa
African Speech IPA
AfriSpeech audio
paired with IPA phoneme transcriptions, for 141 languages.
Each row has the audio, the source transcript, and ipa — the transcript converted to
space-separated IPA phoneme units with
africa-g2p 0.2.0. Units are kept whole, so
t͡ʃ, k͡p and kʰ are one token each rather than two or three characters, and
punctuation is preserved as its own unit so alignment and TTS keep their phrasing.
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/AfriSpeech/african-speech-ipa.ghana-english-speech-ipa
Ghanaian English Speech — Audio with IPA Transcripts
Speech with both transcript forms: the original orthography and the IPA phoneme
sequence read off the audio by ASR. Each language is a subset, with real
train/validation splits.
from datasets import load_dataset
ds = load_dataset("ghanaopendata/ghana-english-speech-ipa", "English_eng", split="train")
ds[0]["audio"] # decoded waveform, 16 kHz
ds[0]["text"] # original orthography
ds[0]["ipa"] # IPA phonemes
52,855… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/ghana-english-speech-ipa.wiktionary-ipa-audio-en
English Wiktionary IPA + audio
English pronunciation rows extracted from the structured Kaikki/Wiktextract
English dump, restricted to English entries with both IPA and a playable
Wikimedia Commons recording. The dataset contains one row per pronunciation
and recording pairing; an audio recording can therefore occur in more than
one row when Wiktionary associates it with multiple IPA or entry records.
Fields
The audio column is created by the Hugging Face… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/wiktionary-ipa-audio-en.IPAPack_plus_pseudo_labels_1PureForest-RGBbarranquenho-ipa-dict-synthetic
Barranquenho IPA Pronunciation Dictionary
The first and only IPA pronunciation dictionary of Barranquenho — the
Ibero-Romance contact variety spoken in Barrancos (Baixo Alentejo, Portugal),
a mixed system born of centuries of Portuguese–Spanish (Extremaduran /
Andalusian) contact on the raia. Every headword is written in the
Convenção Ortográfica do Barranquenho (2025) orthography and paired with a
broad-phonemic IPA transcription plus Portuguese and Spanish glosses.
This… See the full description on the dataset page: https://huggingface.co/datasets/TigreGotico/barranquenho-ipa-dict-synthetic.IPAPack_plus_pseudo_labels_3mirandese-ipa-dict-synthetic
Mirandese IPA Pronunciation Dictionary
A word-level IPA pronunciation dictionary for Mirandese (mwl), the
Asturleonese language of Terra de Miranda, north-eastern Portugal, co-official
in Portugal since 1999. To our knowledge this is the only machine-readable
Mirandese IPA dictionary in existence, so it is built and documented to be
trustworthy by construction: every row carries an explicit provenance tier,
and the highest tiers are anchored to a native-speaker gold dictionary… See the full description on the dataset page: https://huggingface.co/datasets/TigreGotico/mirandese-ipa-dict-synthetic.IPAPack_plus_pseudo_labels_2ArquivoDialetalCLUP_ipadataset info: https://cl.up.pt/arquivo/
speech-accent-american-eng-ipatwi-health-asr-gemini-500hrs-ipa
Twi Health Speech — Audio, Transcript and IPA
Twi health-domain speech with both a written transcript and an IPA phoneme sequence read off the audio by ASR. Built from ghananlpcommunity/twi-health-asr-gemini-500hrs by adding the IPA column.
from datasets import load_dataset
ds = load_dataset("ghananlpcommunity/twi-health-asr-gemini-500hrs-ipa", split="train")
ds[0]["audio"] # decoded waveform, 16 kHz
ds[0]["transcription"] # transcript
ds[0]["ipa"]… See the full description on the dataset page: https://huggingface.co/datasets/ghananlpcommunity/twi-health-asr-gemini-500hrs-ipa.ComfyUI_IPAdapter_plusnew-twi-tts-aligned-ipa
new-twi-tts-aligned + IPA phonemes
ghanaopendata/new-twi-tts-aligned with a machine-generated IPA phoneme
transcription for every clip, produced with
ghananlpcommunity/ghana-speech-phoneme-asr.
Audio included — this is self-contained, no join with the source dataset needed.
Contents
split
clips
hours
phoneme units
mean units/clip
test
16,140
17.24
663,140
41.1
train
145,258
155.21
5,945,389
40.9
Columns
column
type
meaning… See the full description on the dataset page: https://huggingface.co/datasets/ghananlpcommunity/new-twi-tts-aligned-ipa.flux-kontext-ipa-datasetwaymo-ipace-detector-dataset
Waymo I-PACE Vehicle Detection Dataset
YOLO-format object detection dataset for detecting Waymo autonomous vehicles (Jaguar I-PACE) in Austin traffic camera images.
Dataset Structure
├── images/
│ ├── train/ # Training images (JPG)
│ └── val/ # Validation images (JPG)
├── labels/
│ ├── train/ # YOLO format annotations (TXT)
│ └── val/ # YOLO format annotations (TXT)
└── dataset.yaml # YOLO configuration
Label Format
YOLO… See the full description on the dataset page: https://huggingface.co/datasets/EDM25/waymo-ipace-detector-dataset.wikipedia-ipa
Wikipedia IPA Audio and Symbols
Normalized IPA consonant and vowel inventories with reference
audio, derived from the Wikipedia IPA chart pages.
One record per IPA symbol, tagged with the phonological
dimensions used on those chart pages.
Contents
base/consonant/sound.jsonl: one record per pulmonic
consonant, with symbol, place, manner, and voicing.
base/vowel/sound.jsonl: one record per vowel, with
symbol, height, backness, and roundedness.
base/consonant/audio/*.wav… See the full description on the dataset page: https://huggingface.co/datasets/cluesurf/wikipedia-ipa.voxcpm2-ghana-speech-ipa-latents
VoxCPM2 Ghana — Precomputed AudioVAE Latents
Precomputed VoxCPM-2 AudioVAE latents for a Ghanaian multilingual TTS fine-tune,
ready for training with the official train_voxcpm_finetune.py
(train_manifest: ghana-latents). No audio decoding or VAE encoding needed at train
time — the latent feat is fed straight to the VoxCPM-2 model with the IPA transcript.
Each language is a dataset subset:
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/ghananlpcommunity/voxcpm2-ghana-speech-ipa-latents.