datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
qwen3asr-shoken-conv
qwen3asr-shoken-conv
証券・投資ドメインの日本語会話YouTube音声（対談/インタビュー中心）。Qwen3-ASR 追加学習用。
音声/ : opus 38本 / 計19.4h / 多様チャンネル(最大3本/ch)
文字起こし_scribe/ : ElevenLabs Scribe diarized JSON(words[]にspeaker_id+start/end)＋txt
cut_plan_shoken.jsonl : 無音境界≤120s の627チャンク。text=プレーン / text_spk=話者タグ付き
curated_20h.tsv : 収集元リスト(vid/dur/channel/title)
出典は公開YouTube。話者分離ラベルはScribe自動（2話者は信頼性高、3+は要検証）。
radiotalk-us-transcripts-qwen3-100k
radiotalk-us-transcripts-qwen3-100k
100,000 synthetic US air-traffic-control transcripts, generated with
Qwen/Qwen3-32B-NVFP4 (v1 radiotalk pipeline). First release in the
radiotalk transcripts series; the v2 release with higher per-transcript
realism lives at
twangodev/radiotalk-us-transcripts-qwen3-25k.
Renamed from radiotalk-us-transcripts-100k on 2026-08-08 to record the
generator model in the dataset name; the old id redirects here.
radiotalk-us-transcripts-qwen3-25k
radiotalk-us-transcripts-qwen3-25k
22,065 synthetic US air-traffic-control transcripts, generated with
Qwen/Qwen3-32B-NVFP4 against the v2 radiotalk pipeline. Built for
fine-tuning ATC ASR models (NVIDIA Parakeet, Whisper, etc.) and for
seeding TTS audio generation.
This is the second release in the radiotalk transcripts series. The
v1 release lives at
twangodev/radiotalk-us-transcripts-qwen3-100k.
What's new vs v1
v2 rebuilds the pipeline end-to-end. Lower row… See the full description on the dataset page: https://huggingface.co/datasets/twangodev/radiotalk-us-transcripts-qwen3-25k.qwen3-omni-open-source-balanced-1200
Qwen3-Omni 30A3 open-source balanced subset
This dataset contains 1,200 samples selected from public-source-labelled portions of the Qwen3-Omni 30A3 posttrain recipe. The 8 topics are balanced at 150 samples each. Every item includes topic, public_dataset, public_dataset_confidence, source_id, and provenance_json fields. public_dataset is the canonical per-item public-dataset label.
Loading
The data/train-*.jsonl shards are ordinary Hugging Face JSONL data files… See the full description on the dataset page: https://huggingface.co/datasets/Transl/qwen3-omni-open-source-balanced-1200.tw-hokkien-audio-qwen3
Dataset Card for tw-hokkien-audio-qwen3
tw-hokkien-audio-qwen3 是一個台語（閩南語）之合成語音資料集，由 Qwen3-TTS-12Hz-1.7B-Base 以自然語言之「voice design」模式生成。每筆資料包含音頻、台語文本、音頻長度，並附帶描述說話者之自然語言 voice design 文字，以及情境標籤（domain / subdomain / scene / emotion / accent）。本資料集目前為 pilot 批次（8 筆），作為後續大規模擴充之前的格式與管線驗證。
Dataset Details
Dataset Description
本資料集之設計目的是以文字描述（voice design）取代傳統之音色 embedding 或 x-vector，直接由自然語言指令產生具台語特定腔調、情緒與場景之合成語音。每筆生成流程為：
從 lianghsun/tw-hokkien-seed-text 抽取台語文本作為朗讀內容；… See the full description on the dataset page: https://huggingface.co/datasets/lianghsun/tw-hokkien-audio-qwen3.nb-asr-qwen3whisperxagreement-v1
nb-asr-qwen3whisperxagreement-v1
Word-level forced alignment training data for Norwegian speech, produced by keeping only examples where two independent aligners — WhisperX and Qwen3 (Lunde forced aligner) — agree within a tight tolerance.
Dataset Description
This dataset contains 702,067 speech segments drawn from the NB-ASR Norwegian audio corpus. Each record pairs an audio file with a word-level forced alignment in a format suitable for training a… See the full description on the dataset page: https://huggingface.co/datasets/NbAiLab/nb-asr-qwen3whisperxagreement-v1.reazonspeech_qwen3-asr_large_filtered
Summary
This is the ReazonSpeech corpus's large split, featuring Qwen3-ASR 1.7B transcriptions.
Since the original transcriptions often contain errors, comparing them with the Qwen3-ASR outputs could be useful.
This is a filtered version in which no insertions occurred from the original transcriptions to the Qwen3-ASR transcriptions.
Usage
import json
import webdataset as wds
from huggingface_hub import get_token
SHARDS = (
f"pipe:curl -sLf -H 'Authorization: Bearer… See the full description on the dataset page: https://huggingface.co/datasets/nagohachi/reazonspeech_qwen3-asr_large_filtered.reazonspeech_qwen3-asr_large
Summary
This is the ReazonSpeech corpus's large split, featuring Qwen3-ASR 1.7B transcriptions.
Since the original transcriptions often contain errors, comparing them with the Qwen3-ASR outputs could be useful.
Usage
import json
import webdataset as wds
from huggingface_hub import get_token
SHARDS = (
f"pipe:curl -sLf -H 'Authorization: Bearer {get_token()}' "
"https://huggingface.co/datasets/nagohachi/reazonspeech_qwen3-asr_large/"… See the full description on the dataset page: https://huggingface.co/datasets/nagohachi/reazonspeech_qwen3-asr_large.