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README.md

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+---
+license: cc-by-nc-4.0
+language:
+- zh
+language_bcp47:
+- zh-TW
+task_categories:
+- automatic-speech-recognition
+- text-to-speech
+- audio-classification
+pretty_name: Parliament
+tags:
+- Taiwan
+- Traditional Chinese
+- parliament
+- speech
+- ASR
+- TTS
+- Legislative Yuan
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*.parquet
+---
+
+# Parliament
+
+Parliament is an OpenFormosa Traditional Chinese speech dataset derived from the
+`zh_tw` split of [disco-eth/WorldSpeech](https://huggingface.co/datasets/disco-eth/WorldSpeech).
+It contains audio clips and human transcripts from Taiwan Legislative Yuan IVOD
+parliamentary proceedings.
+
+This release keeps only rows that passed the Taiwan-OmniData / FineWeb2-style
+text filtering pipeline. Audio is preserved from the upstream dataset and cast
+as a Hugging Face `Audio(sampling_rate=24000)` feature.
+
+## Dataset Summary
+
+- Dataset repo: `OpenFormosa/parliament`
+- Dataset name: `parliament`
+- Credit: OpenFormosa
+- Source dataset: `disco-eth/WorldSpeech`
+- Source config: `zh_tw`
+- Source split: `train`
+- Upstream source: Taiwan Legislative Yuan IVOD parliamentary proceedings
+- Audio: included, Opus/Ogg bytes, exposed as `datasets.Audio`
+- Text: human transcript
+- Rows after filtering: 308,521
+- Rows rejected by filtering: 24,762
+- Estimated text tokens after filtering: 11,464,559
+- License: CC BY-NC 4.0, following the upstream WorldSpeech dataset card
+
+## Fields
+
+- `audio`: audio clip, Hugging Face `Audio(sampling_rate=24000)`
+- `text`: filtered human transcript
+- `human_transcript`: original human transcript from WorldSpeech
+- `asr_transcript`: upstream ASR transcript
+- `cer`: upstream character error rate signal
+- `snr`: upstream signal-to-noise estimate
+- `dnsmos_sig`, `dnsmos_bak`, `dnsmos_ovr`, `dnsmos_p808`: upstream DNSMOS quality signals
+- `duration`: clip duration in seconds
+- `source`: upstream source label
+- `source_url`: original IVOD media URL
+- `source_start_s`, `source_end_s`: segment offsets in the original media
+- `session_date`: parliamentary session date if available
+- `segment_id`: upstream segment id
+- `doc_id`: Taiwan-OmniData document id
+- `row_index`: row index in `disco-eth/WorldSpeech`, config `zh_tw`, split `train`
+- `estimated_tokens`: heuristic token estimate for the transcript
+- `quality_score`, `taiwan_relevance_score`, `zh_tw_naturalness_score`, `safety_score`, `pii_risk_score`: filtering/scoring signals
+- `filter_metadata`: compact provenance metadata for the filtering pass
+
+## Filtering
+
+The source rows were processed through the Taiwan-OmniData filtering pipeline:
+
+- text normalization and metadata preservation
+- Taiwan/Traditional Chinese locale tagging
+- FineWeb2-style repetition and boilerplate filters
+- safety and PII-risk scoring
+- train/eval separation metadata
+
+Rejected rows are not included in this release. Top rejection reasons from the
+filtering run:
+
+- `fineweb2_top_2gram_fraction`: 8,336
+- `fineweb2_top_4gram_fraction`: 5,966
+- `fineweb2_dup_5gram_fraction`: 5,467
+- `fineweb2_top_3gram_fraction`: 4,895
+- `fineweb2_dup_6gram_fraction`: 95
+- `fineweb2_max_avg_word_length`: 2
+- `fineweb2_dup_7gram_fraction`: 1
+
+## Usage
+
+```python
+from datasets import load_dataset, Audio
+
+ds = load_dataset("OpenFormosa/parliament", split="train")
+ds = ds.cast_column("audio", Audio(sampling_rate=24000))
+sample = ds[0]
+print(sample["text"])
+print(sample["audio"]["sampling_rate"])
+```
+
+For metadata-only inspection without decoding audio:
+
+```python
+from datasets import load_dataset, Audio
+
+ds = load_dataset("OpenFormosa/parliament", split="train")
+ds = ds.cast_column("audio", Audio(sampling_rate=24000, decode=False))
+print(ds[0]["audio"].keys())
+```
+
+## License And Attribution
+
+This dataset follows the upstream WorldSpeech license declaration, CC BY-NC 4.0.
+Please also review the upstream WorldSpeech dataset card and the applicable
+terms for Taiwan Legislative Yuan IVOD content before commercial use.
+
+If you use this dataset, please credit OpenFormosa and cite or link both the
+upstream WorldSpeech dataset and this derived dataset:
+
+- OpenFormosa Parliament: `OpenFormosa/parliament`
+- Upstream source dataset: `disco-eth/WorldSpeech`
+
+## Provenance
+
+Generated by Taiwan-OmniData-R1 on 2026-06-06T18:30:23.728374+00:00. Audio was not re-encoded; the
+original WorldSpeech audio bytes were preserved and cast to the Hugging Face
+Audio feature.