---
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 2026-06-06T18:31:39.990842+00:00. Audio was not re-encoded; the
original WorldSpeech audio bytes were preserved and cast to the Hugging Face
Audio feature.