Hugging Face's logo

Datasets:
i4tech
/
liepa3

Tasks:
Automatic Speech Recognition
Text-to-Speech
Modalities:
Audio
Text
Formats:
parquet
Languages:
Lithuanian
Size:
1M - 10M
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
liepa3 / README.md
evaldass's picture
evaldass
Add official LIEPA-3 project information
f0bf0f3 verified
preview code
|
Raw History Blame Contribute Delete
6.85 kB
---
license: cc-by-4.0
language:
- lt
task_categories:
- automatic-speech-recognition
- text-to-speech
pretty_name: LIEPA-3 Lithuanian Speech Corpus
configs:
- config_name: read
data_files:
- split: train
path: data/read/train-*.parquet
- config_name: spon
data_files:
- split: train
path: data/spon/train-*.parquet
- config_name: dial
data_files:
- split: train
path: data/dial/train-*.parquet
- config_name: phon
data_files:
- split: train
path: data/phon/train-*.parquet
dataset_info:
- config_name: read
features:
- name: id
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 44100
- name: audio_path
dtype: string
- name: text
dtype: string
- name: normalized_text
dtype: string
- name: part
dtype: string
- name: split
dtype: string
- name: source
dtype: string
- name: source_label
dtype: string
- name: speech_type
dtype: string
- name: speech_type_label
dtype: string
- name: speaker_id
dtype: string
- name: county
dtype: string
- name: region
dtype: string
- name: gender
dtype: string
- name: age_group
dtype: string
- name: textgrid_path
dtype: string
- name: utterances_json
dtype: string
- name: num_words
dtype: int32
- name: audio_nbytes
dtype: int64
- name: license
dtype: string
- config_name: spon
features:
- name: id
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 44100
- name: audio_path
dtype: string
- name: text
dtype: string
- name: normalized_text
dtype: string
- name: part
dtype: string
- name: split
dtype: string
- name: source
dtype: string
- name: source_label
dtype: string
- name: speech_type
dtype: string
- name: speech_type_label
dtype: string
- name: speaker_id
dtype: string
- name: county
dtype: string
- name: region
dtype: string
- name: gender
dtype: string
- name: age_group
dtype: string
- name: textgrid_path
dtype: string
- name: utterances_json
dtype: string
- name: num_words
dtype: int32
- name: audio_nbytes
dtype: int64
- name: license
dtype: string
- config_name: dial
features:
- name: id
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 44100
- name: audio_path
dtype: string
- name: text
dtype: string
- name: normalized_text
dtype: string
- name: part
dtype: string
- name: split
dtype: string
- name: source
dtype: string
- name: source_label
dtype: string
- name: speech_type
dtype: string
- name: speech_type_label
dtype: string
- name: speaker_id
dtype: string
- name: county
dtype: string
- name: region
dtype: string
- name: gender
dtype: string
- name: age_group
dtype: string
- name: textgrid_path
dtype: string
- name: utterances_json
dtype: string
- name: num_words
dtype: int32
- name: audio_nbytes
dtype: int64
- name: license
dtype: string
- config_name: phon
features:
- name: id
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 44100
- name: audio_path
dtype: string
- name: text
dtype: string
- name: normalized_text
dtype: string
- name: part
dtype: string
- name: split
dtype: string
- name: source
dtype: string
- name: source_label
dtype: string
- name: speech_type
dtype: string
- name: speech_type_label
dtype: string
- name: speaker_id
dtype: string
- name: county
dtype: string
- name: region
dtype: string
- name: gender
dtype: string
- name: age_group
dtype: string
- name: textgrid_path
dtype: string
- name: utterances_json
dtype: string
- name: num_words
dtype: int32
- name: audio_nbytes
dtype: int64
- name: license
dtype: string
---
# LIEPA-3 Lithuanian Speech Corpus
This repository repackages the original LIEPA-3 release into Hugging Face
Parquet shards with embedded FLAC audio bytes. The original transcriptions are
kept as released: normalized lowercase Lithuanian text without punctuation,
digits, capitalization, or other symbols.
Recommended use:
- `read`: cleanest subset and the default starting point for TTS or ASR.
- `spon`: spontaneous/broadcast/media speech; useful for ASR, not a clean TTS default.
- `dial`: dialect subset.
- `phon`: file-level phonetic metadata with TextGrid paths and utterance lists.
## Original LIEPA-3 Project
This Hugging Face dataset is a convenience repackaging of the official LIEPA-3
release, **Didžiojo lietuvių kalbos garsyno sukūrimas (LIEPA-3)**. The official
project page states that LIEPA-3 was led by Dr. Gražina Korvel and carried out
by Vilnius University with partners Vytautas Magnus University and the
Institute of the Lithuanian Language.
The original corpus is available from the CLARIN-LT repository:
https://hdl.handle.net/20.500.11821/101
According to the official project description, LIEPA-3 is intended for speech
recognition (ASR/STT) applications and research. It contains 10,000 hours of
annotated Lithuanian speech in FLAC format (44.1 kHz, 16-bit, mono), with
phrase-level annotations for the full corpus and word/phoneme-level annotations
for the 500-hour phonetic subset in Praat TextGrid format. The official
subcorpora are READ (5,000 h), SPON (4,900 h), DIAL (100 h), and PHON (500 h).
Official project information:
https://raštija.lt/liepa-3/apie-projekta-liepa-3/
The project was funded by the Recovery and Resilience Plan "Naujos kartos
Lietuva".
Example:
```python
from datasets import Audio, load_dataset
ds = load_dataset("i4tech/liepa3", "read", split="train", streaming=True)
ds = ds.cast_column("audio", Audio(sampling_rate=16000))
```
Recent `datasets` versions decode `Audio` via `torchcodec`, so install
`datasets`, `torch`, and `torchcodec` in training environments. If a pipeline
already decodes FLAC itself, use `audio["bytes"]` directly.