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README.md

@@ -4,44 +4,22 @@ language: [eu]
 task_categories: [text-to-speech, automatic-speech-recognition]
 pretty_name: BSSD (Basque Synthetic Speech Dataset)
 size_categories: [100K<n<1M]
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # BSSD: Basque Synthetic Speech Dataset
 
-**183.2 hours**, 142233 utterances, 6755 voice identities, 24 kHz mono FLAC.
+**Work in progress (2026-10-17).** Synthetic Basque speech generated with
+[OmniVoice](https://github.com/k2-fsa/OmniVoice) and filtered with two Basque ASR systems.
+The first half (runs v06-v11, 142k utterances, 183 h) is uploaded; the second half (about 150k
+utterances) and the full dataset card with statistics, provenance, filtering details and the
+named default voices follow within hours.
 
-## Provenance
+Columns: id, audio (24 kHz FLAC), text, text_norm, text_src, voice_mode, voice_id, prompt_src,
+instruct, duration, cer_whisper, cer_conformer, utmos, spk_sim, teacher, num_step, guidance, status.
 
-All audio was generated with [OmniVoice](https://github.com/k2-fsa/OmniVoice)
-(`k2-fsa/OmniVoice`, code Apache-2.0, weights CC-BY-NC, Higgs Audio V2 tokenizer under the Boson
-community license) at num_step=32, guidance_scale=2.0. Prompt modes: synthetic
-voice bank (OmniVoice auto/design clips used as cloning prompts), real Basque prompts from
-OpenSLR 76 (CC-BY-SA-4.0) and the HiTZ-Aholab studio corpus (CC-BY-4.0), voice design and
-auto voice. No Common Voice contributor's voice was cloned.
-
-Text sources: Basque Wikipedia (CC-BY-SA-4.0), Mozilla Common Voice sentence pool (CC0),
-Basque Parliament transcripts (CC0), OpenSLR 76 transcripts (CC-BY-SA-4.0) and templated
-number/date sentences. Numbers and abbreviations were verbalised (`text_norm`).
-
-## Filtering
-
-Every clip was transcribed with `xezpeleta/whisper-large-v3-eu` (and, where present,
-`HiTZ/stt_eu_conformer_transducer_large_v2`); kept rows have CER <= 0.03 on all ASRs,
-hypothesis length ratio within [0.7, 1.3], UTMOS >= 3.0, speaker similarity to the
-prompt >= 0.9 (cloned rows), no clipping and no internal silence > 1.5s.
-
-## Columns
-
-id, audio, text, text_norm, text_src, voice_mode, voice_id, prompt_src, instruct, duration,
-cer_whisper, cer_conformer, utmos, spk_sim, teacher, num_step, guidance, status.
-
-## Limitations
-
-Synthetic read speech: prosody and voice variety are those of the teacher; no spontaneous
-speech; occasional teacher artifacts may remain. Intended for TTS/ASR research and training.
-
-## License and attribution
-
-CC-BY-SA-4.0. Please credit: k2-fsa OmniVoice; Wikimedia / Basque Wikipedia editors;
-Mozilla Common Voice; Google (OpenSLR 76, Kjartansson et al. 2020); HiTZ Zentroa / Aholab;
-Basque Parliament corpus (UPV/EHU GTTS).
+License: CC-BY-SA-4.0. Teacher weights are CC-BY-NC; see the forthcoming provenance section.