| --- |
| language: |
| - zh |
| pretty_name: TW Speech — MOSS Audio 8B Thinking annotations |
| task_categories: |
| - automatic-speech-recognition |
| - text-to-speech |
| tags: |
| - audio |
| - taiwan |
| - traditional-chinese |
| - model-generated |
| configs: |
| - config_name: tw_tts |
| data_files: |
| - split: train |
| path: data/tw_tts/train/*/*.parquet |
| - split: validation |
| path: data/tw_tts/validation/*/*.parquet |
| - config_name: earica_speech |
| data_files: |
| - split: train |
| path: data/earica_speech/train/*/*.parquet |
| dataset_info: |
| - config_name: tw_tts |
| features: |
| - name: record_id |
| dtype: string |
| - name: audio |
| dtype: audio |
| - name: sample_rate |
| dtype: int32 |
| - name: num_samples |
| dtype: int64 |
| - name: duration_seconds |
| dtype: float64 |
| - name: audio_sha256 |
| dtype: string |
| - name: source_dataset |
| dtype: string |
| - name: source_split |
| dtype: string |
| - name: source_file |
| dtype: string |
| - name: source_row_index |
| dtype: int64 |
| - name: source_audio_index |
| dtype: int32 |
| - name: source_channel |
| dtype: int32 |
| - name: source_text |
| dtype: string |
| - name: labels |
| struct: |
| - name: speech_present |
| dtype: bool |
| - name: transcript |
| dtype: string |
| - name: caption |
| dtype: string |
| - name: languages |
| list: string |
| - name: speaker_count |
| dtype: string |
| - name: voice_description |
| dtype: string |
| - name: emotion |
| dtype: string |
| - name: delivery |
| dtype: string |
| - name: events |
| list: |
| - name: label |
| dtype: string |
| - name: start_seconds |
| dtype: float64 |
| - name: end_seconds |
| dtype: float64 |
| - name: quality_notes |
| dtype: string |
| - name: uncertainty_notes |
| dtype: string |
| - name: canonical_record_json |
| dtype: string |
| - config_name: earica_speech |
| features: |
| - name: record_id |
| dtype: string |
| - name: audio |
| dtype: audio |
| - name: sample_rate |
| dtype: int32 |
| - name: num_samples |
| dtype: int64 |
| - name: duration_seconds |
| dtype: float64 |
| - name: audio_sha256 |
| dtype: string |
| - name: source_dataset |
| dtype: string |
| - name: source_split |
| dtype: string |
| - name: source_file |
| dtype: string |
| - name: source_row_index |
| dtype: int64 |
| - name: source_audio_index |
| dtype: int32 |
| - name: source_channel |
| dtype: int32 |
| - name: source_text |
| dtype: string |
| - name: labels |
| struct: |
| - name: speech_present |
| dtype: bool |
| - name: transcript |
| dtype: string |
| - name: caption |
| dtype: string |
| - name: languages |
| list: string |
| - name: speaker_count |
| dtype: string |
| - name: voice_description |
| dtype: string |
| - name: emotion |
| dtype: string |
| - name: delivery |
| dtype: string |
| - name: events |
| list: |
| - name: label |
| dtype: string |
| - name: start_seconds |
| dtype: float64 |
| - name: end_seconds |
| dtype: float64 |
| - name: quality_notes |
| dtype: string |
| - name: uncertainty_notes |
| dtype: string |
| - name: canonical_record_json |
| dtype: string |
| --- |
| |
| # TW Speech |
|
|
| Taiwan speech annotations generated with `OpenMOSS-Team/MOSS-Audio-8B-Thinking` |
| in BF16 without quantization, using `voidful/tw-ice-tts-moss-annotation`. |
|
|
| Access requires a request and manual approval by the repository owner. |
| The remote release is complete only when `publication.json` reports |
| `remote_upload_complete: true`; files may be arriving before that marker exists. |
| Source-specific rights and allowed-use metadata are preserved in |
| `canonical_record_json`. Some upstream rows carry |
| `license_pending_review` / `private_training_pending_rights_review`. |
| This repository does not grant a new open license for the source recordings. |
|
|
| | Configuration | Split | Audio windows | |
| | --- | --- | ---: | |
| | tw_tts | train | 14,049,932 | |
| | tw_tts | validation | 14,165 | |
| | earica_speech | train | 1,009,291 | |
| |
| All 13,687 pinned source files are covered. Every provided audio item, |
| channel and complete nonoverlapping 20-second window is retained, including |
| short final windows. Official source splits are unchanged. |
| The 25 original Earica `audio=[]` rows have no audio to annotate and are |
| preserved separately in `source-issues/earica_speech/train.jsonl`. |
|
|
| Parquet shards embed the exact original-rate PCM16 WAV bytes. Their SHA256 |
| is stored in `audio_sha256`. `audio` can be loaded directly with Hugging Face |
| Datasets; no external audio paths are required. `labels` contains the eleven |
| structured annotation fields. `canonical_record_json` preserves the complete |
| canonical record, source metadata, raw response and model provenance; its |
| audio path is a historical local locator. Use the embedded `audio` column. |
|
|
| ```python |
| from datasets import load_dataset, Audio |
| ds = load_dataset("voidful/tw-speech", "tw_tts", split="train", streaming=True, token=True) |
| ds = ds.cast_column("audio", Audio(decode=False)) |
| example = next(iter(ds)) |
| print(example["labels"]) |
| ``` |
|
|
| Annotations are model-generated and have not been manually reviewed. |
| An unavailable transcript remains null with its reason in the canonical record. |
| Original text is preserved separately and was not used as an ASR prompt. |
| Official train/validation source groups can overlap; annotation completion |
| does not certify a leakage-free training split. See `provenance.json`. |
| `manifest.json` lists every shard, its row count and exact file checksum. |
|
|
