--- 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.