Datasets:

voidful
/

tw_parliament

license: cc-by-nc-4.0
language:
  - zh
language_bcp47:
  - zh-TW
task_categories:
  - automatic-speech-recognition
  - text-to-speech
  - audio-classification
pretty_name: TW Parliament
tags:
  - Taiwan
  - Traditional Chinese
  - parliament
  - speech
  - ASR
  - TTS
  - Legislative Yuan
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*.parquet

TW Parliament

TW Parliament is a filtered Traditional Chinese speech dataset derived from the zh_tw split of 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

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

from datasets import load_dataset, Audio

ds = load_dataset("voidful/tw_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:

from datasets import load_dataset, Audio

ds = load_dataset("voidful/tw_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 cite or link the upstream WorldSpeech dataset and this derived dataset.

Provenance

Generated by Taiwan-OmniData-R1 on 2026-06-06T14:28:07.476743+00:00. Audio was not re-encoded; the original WorldSpeech audio bytes were preserved and cast to the Hugging Face Audio feature.