--- dataset_info: - config_name: dial features: - name: audio dtype: audio: sampling_rate: 44100 - name: text dtype: string - name: category dtype: string - name: speaker_id dtype: string - name: gender dtype: string - name: age_group dtype: string - name: lang_type dtype: string - name: source dtype: string - name: region dtype: string - name: county dtype: string - name: file_path dtype: string - name: file_hash dtype: string - name: segment_id dtype: string - name: start_ms dtype: int32 - name: end_ms dtype: int32 - name: duration_ms dtype: int32 splits: - name: train num_bytes: 15484268762.0 num_examples: 111970 download_size: 15471775524 dataset_size: 15484268762.0 - config_name: phon features: - name: audio dtype: audio: sampling_rate: 44100 - name: text dtype: string - name: phono dtype: string - name: category dtype: string - name: speaker_id dtype: string - name: gender dtype: string - name: age_group dtype: string - name: lang_type dtype: string - name: source dtype: string - name: region dtype: string - name: county dtype: string - name: file_path dtype: string - name: file_hash dtype: string - name: segment_id dtype: string - name: start_ms dtype: int32 - name: end_ms dtype: int32 - name: duration_ms dtype: int32 splits: - name: train num_bytes: 67850344340.188 num_examples: 1084228 download_size: 67737728325 dataset_size: 67850344340.188 configs: - config_name: dial data_files: - split: train path: dial/train-* - config_name: phon data_files: - split: train path: phon/train-* - config_name: read data_files: - split: train path: read/train-* - config_name: spon data_files: - split: train path: spon/train-* license: cc-by-4.0 multilinguality: monolingual source_datasets: - original pretty_name: LIEPA-3 Lithuanian Speech Corpus task_categories: - automatic-speech-recognition - text-to-speech tags: - audio - speech - lithuanian - lt - baltic-languages - speech-recognition - asr - text-to-speech - tts - liepa - liepa-3 language_creators: - found - crowdsourced task_ids: [] annotations_creators: - expert-generated language: - lt size_categories: - 1M. This πŸ€— dataset is a repackaging of that corpus for the `datasets` library. Audio is stored once at its **source quality β€” 44.1 kHz / 16-bit mono FLAC (lossless)**. Resample on the fly for your task (see below); there is no quality loss versus the source when downsampling to 16 kHz (ASR) or 24 kHz (TTS). ## Supported Tasks - **`automatic-speech-recognition`** β€” transcribe Lithuanian speech (`audio` + `text`). Downsample to 16 kHz at load time. - **`text-to-speech`** β€” single/multi-speaker Lithuanian TTS. Filter by `speaker_id`, `gender`, `source` (e.g. `Studio`); resample to 22.05/24 kHz. ```python from datasets import load_dataset, Audio ds = load_dataset("meldynamics/liepa-3", "dial", split="train") # native 44.1 kHz # ASR: 16 kHz on the fly (lossless downsample) ds_asr = ds.cast_column("audio", Audio(sampling_rate=16000)) # TTS: 24 kHz ds_tts = ds.cast_column("audio", Audio(sampling_rate=24000)) # stream without downloading everything: ds = load_dataset("meldynamics/liepa-3", "dial", split="train", streaming=True) ``` ## Languages Monolingual **Lithuanian** (`lt`). Transcripts are normalized to lower case without punctuation, except the **`dial`** part, which uses an extended **phonetic/dialectal** notation (stress `ˈ ˌ`, palatalization `'`, dialect vowels `Γ¦ Ι™ ɜ Δ“ ɘ Ι¨ ā`, ...). ## Dataset Structure ### Configurations (corpus parts) Each corpus part is a **config**; load one with the `name` argument. - **`dial`** β€” Dialectal speech β€” regional varieties of Lithuanian. Transcripts use an extended phonetic/dialectal notation (stress marks, palatalization, dialect-specific vowels). One phrase per file. - **`phon`** β€” Phonetically annotated speech. Full recordings are sliced into phrases using the Praat TextGrid `ortho` (orthographic) tier; the grids' `phono` (phonetic-transcription) tier is aligned to each phrase by time overlap and exposed in the **`phono`** column alongside `text`. The source grids additionally carry `phones`, `syll` and `words` tiers. - **`read`** β€” Read speech (prompted reading). One phrase per file with normalized, lower-cased transcripts. - **`spon`** β€” Spontaneous speech (radio, TV, dictaphone, etc.). One phrase per file with normalized, lower-cased transcripts. ### Data Instances A representative example (the `audio.array` waveform is shown truncated): ```python { 'audio': { 'path': 'audio/dial/A/F3/A0401-SDF3/A0401-SDF3-0001.flac', 'array': array([0.00012, -0.00008, ..., 0.00031], dtype=float32), 'sampling_rate': 44100, }, 'text': "nuˈsteps ˈman' baˈtarke", 'category': 'dial', 'speaker_id': 'A04', 'gender': 'Female', 'age_group': '18-60', 'lang_type': 'Spontaneous', 'source': 'Dictaphone', 'region': 'AukΕ‘taitija', 'county': '', 'file_path': 'audio/dial/A/F3/A0401-SDF3/A0401-SDF3-0001.flac', 'file_hash': '', 'segment_id': '', 'start_ms': 0, 'end_ms': 0, 'duration_ms': 1492, } ``` ### Data Fields The configs do **not** all share one schema: within each part a field is populated only where the source encodes it. Field meanings first, then a per-config availability matrix. | Field | Type | Description | |-------|------|-------------| | `audio` | `Audio` | Decoded to a waveform `array` + `sampling_rate` (44100), backed by mono FLAC bytes. | | `text` | `string` | Transcript (normalized; `dial` = phonetic/dialectal). | | `phono` | `string` | Phonetic transcription, SAMPA-style, from the TextGrid `phono` tier (`phon` = per phrase). | | `category` | `string` | Corpus part: `dial` / `phon` / `read` / `spon`. | | `speaker_id` | `string` | Speaker code, where the path encodes one. | | `gender` | `string` | `Male` / `Female`. | | `age_group` | `string` | `0-12` / `13-17` / `18-60` / `60+`. | | `lang_type` | `string` | `Read` / `Spontaneous` / `Mixed`. | | `source` | `string` | `Studio` / `Dictaphone` / `Radio` / `TV` / `Phone` / `Audiobook` / `Unknown`. | | `region` | `string` | Dialect region: AukΕ‘taitija / DzΕ«kija / Suvalkija / Ε½emaitija. | | `county` | `string` | County of the speaker. | | `file_path` | `string` | Original path of the clip inside the corpus archive. | | `file_hash` | `string` | Content-hash id of the source recording. | | `segment_id` | `string` | Phrase index within the source recording. | | `start_ms` / `end_ms` | `int32` | Phrase boundaries within the source recording. | | `duration_ms` | `int32` | Clip duration in milliseconds. | #### Field availability by config **●** populated Β· **β—‹** present but always empty Β· **–** not a column in this config. | Field | `dial` | `phon` | `read` | `spon` | |-------|:------:|:------:|:------:|:------:| | `audio` | ● | ● | ● | ● | | `text` | ● | ● | ● | ● | | `phono` | – | ● | – | β—‹ | | `category` | ● | ● | ● | ● | | `speaker_id` | ● | β—‹ | ● | β—‹ | | `gender` | ● | ● | β—‹ | ● | | `age_group` | ● | ● | β—‹ | ● | | `lang_type` | ● | ● | β—‹ | ● | | `source` | ● | ● | β—‹ | ● | | `region` | ● | β—‹ | β—‹ | β—‹ | | `county` | β—‹ | β—‹ | ● | β—‹ | | `file_path` | ● | ● | ● | ● | | `file_hash` | β—‹ | ● | β—‹ | ● | | `segment_id` | β—‹ | ● | β—‹ | β—‹ | | `start_ms` / `end_ms` | β—‹ | ● | β—‹ | β—‹ | | `duration_ms` | ● | ● | ● | ● | ### Data Splits Each config has a single `train` split. Exact per-config row/byte counts appear in the viewer's Dataset Structure panel. Full-corpus totals: | Part | Duration (h:m:s) | Speakers | Phrases | Words | Files | Size (FLAC 44.1k) | |------|-----------------:|---------:|--------:|------:|------:|------------------:| | Dialectal (`dial`) | 100:29:24 | 117 | 111,970 | 916,343 | 111,970 | 15 GB | | Phonetic (`phon`) | 501:08:59 | 500+ | 1,084,228 | 4,383,938 | 145,644 | 74 GB | | Read (`read`) | 5015:37:12 | 7,125 | 2,699,385 | 26,984,811 | 2,699,385 | 578 GB | | Spontaneous (`spon`) | 4937:25:27 | 5,000+ | 4,527,544 | 43,135,179 | 4,527,544 | 608 GB | ## Audio Format **FLAC, 44.1 kHz, 16-bit, mono** (source quality). Phrase durations (source): `dial` avg 3.23 s, `read` avg 6.69 s, `spon` avg 3.93 s. ## Dataset Creation **Curation rationale.** Advance Lithuanian speech technology (ASR/TTS) and provide a phonetically representative, openly-licensed resource for a comparatively low-resource language. **Source data.** Recordings gathered from many sources/conditions β€” studio, dictaphone, radio and TV, telephone and audiobooks β€” to maximize acoustic diversity. Encoding codes in file paths capture language type, source, gender, age group and region/county. **Annotations.** Phrase-level transcription covers all ~10,000 h. The phonetic (`phon`) part (~500 h) additionally provides word, syllable and phoneme annotations as Praat **TextGrid** files (phoneme set per Kasparaitis 2005, 92 units). The `dial` part adds dialectal phonetic transcription. **Personal and sensitive information.** Speakers are referenced only by anonymized codes. Spontaneous/broadcast material may mention real people or events; use responsibly. ## Considerations for Using the Data **Social impact.** Openly-licensed, large-scale **Lithuanian** speech data β€” a comparatively low-resource language β€” lowers the barrier to accessible voice interfaces, transcription and assistive technology, and supports Baltic-language speech research. **Distribution & biases.** Aggregate gender balance by part (hours): | Part | Total h | Male h (%) | Female h (%) | |------|--------:|-----------:|-------------:| | `dial` | 100 | 23 (23%) | 77 (77%) | | `phon` | 501 | 291 (58%) | 210 (42%) | | `read` | 5,015 | 2,154 (43%) | 2,842 (57%) | | `spon` | 4,937 | 2,552 (52%) | 2,385 (48%) | Source/condition coverage is uneven (read speech dominates total hours); account for domain and speaker imbalance when training/evaluating. **Known limitations.** `phon` clips are sliced on the TextGrid `ortho` tier; normalized transcripts drop casing/punctuation (except `dial`); demographics are only as complete as the original path encoding. ## Additional Information ### Official Release The authoritative dataset is distributed via the **CLARIN-LT** repository: ### Original Documentation The authoritative corpus documentation is bundled in this repository: - [`docs/LIEPA-3-README.md`](docs/LIEPA-3-README.md) β€” full description: labeling codes, per-part directory structure, annotation formats (Lithuanian). - [`docs/LIEPA-3-README.pdf`](docs/LIEPA-3-README.pdf) β€” PDF version. - [`LICENSE`](LICENSE) β€” full CC BY 4.0 legal text. ### Dataset Curators Created **2025–2026** by **Vytautas Magnus University (VDU)**, **Vilnius University (VU)** and the **Institute of the Lithuanian Language (LKI)**. ### Licensing Information Released under **Creative Commons Attribution 4.0 International (CC BY 4.0)**. Share and adapt for any purpose **with appropriate credit** to the LIEPA-3 authors. ### Citation ```bibtex @misc{liepa3, title = {Didysis lietuviΕ³ kalbos garsynas (LIEPA-3)}, author = {Vytautas Magnus University and Vilnius University and Institute of the Lithuanian Language}, year = {2026}, note = {Large Lithuanian speech corpus, ~10,000 hours}, howpublished = {CC BY 4.0} } ``` ### Contributions Packaged for the πŸ€— `datasets` library from the original FLAC corpus. See the bundled original documentation for authoritative details.