| --- |
| 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. |
|
|
