datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Easy-Turn-Testset
Easy Turn: Integrating Acoustic and Linguistic Modalities for Robust Turn-Taking in Full-Duplex Spoken Dialogue Systems
Guojian Li1, Chengyou Wang1, Hongfei Xue1,
Shuiyuan Wang1, Dehui Gao1, Zihan Zhang2,
Yuke Lin2, Wenjie Li2, Longshuai Xiao2,
Zhonghua Fu1,╀, Lei Xie1,╀
1 Audio, Speech and Language Processing Group (ASLP@NPU), Northwestern Polytechnical University
2 Huawei Technologies, China
🎤 Demo Page
🤖 Easy Turn Model
📑 Paper
🌐 Huggingface… See the full description on the dataset page: https://huggingface.co/datasets/ASLP-lab/Easy-Turn-Testset.asr-testset-kw-ja-v1
日本語 ASR アノテーション v1
重要：評価結果を報告する際の規約
本テストセットで評価結果を報告する際は、事前学習を含む学習にYouTubeの音声を使用したかどうかと、次の評価区分を必ず明記してください。
使用した場合：in-domain評価
使用していない場合：out-of-domain評価
この区分は、音声認識の評価結果を比較する上で重要です。最終的な追加学習だけでなく、使用するモデルの事前学習も含めて判断してください。
元データセットの音声に、人手で区間ごとの転記・タグ・採否を付けたデータです。音声の内容、ディレクトリ構成、ファイル名は元のままです。
ファイルと表示
**annotations.jsonl**：提出済みの全結果。1行が1音声です。
**metadata.jsonl**：HF表示用に自動生成したデータ。音声全体が不使用の行を除き、audio を file_name に置き換えています。
**data/**：採用した音声ファイル。
HFのビューアーは… See the full description on the dataset page: https://huggingface.co/datasets/bandad/asr-testset-kw-ja-v1.Easy-Turn-Testset
Easy Turn: Integrating Acoustic and Linguistic Modalities for Robust Turn-Taking in Full-Duplex Spoken Dialogue Systems
Guojian Li1, Chengyou Wang1, Hongfei Xue1,
Shuiyuan Wang1, Dehui Gao1, Zihan Zhang2,
Yuke Lin2, Wenjie Li2, Longshuai Xiao2,
Zhonghua Fu1,╀, Lei Xie1,╀
1 Audio, Speech and Language Processing Group (ASLP@NPU), Northwestern Polytechnical University
2 Huawei Technologies, China
🎤 Demo Page
🤖 Easy Turn Model
📑 Paper
🌐 Huggingface… See the full description on the dataset page: https://huggingface.co/datasets/1xg/Easy-Turn-Testset.NVVSpeech-Challenge-Track1-Test-Set
NVVSpeech Challenge Track 1 Test Set
Track 1 test set for the NVVSpeech Challenge at ISCSLP 2026.
Task
Given a speech recording, produce a transcript that contains the spoken content and the non-verbal vocalization (NVV) tags at their corresponding positions.
Dataset Summary
Language
Samples
Chinese
985
English
961
Total
1,946
Files
.
├── README.md
├── SUBMISSION_GUIDE.txt
├── test.jsonl
├── ground_truth.jsonl
├──… See the full description on the dataset page: https://huggingface.co/datasets/NVVSpeech-Challenge/NVVSpeech-Challenge-Track1-Test-Set.benchmark_eseu_testsets
Benchmark Test-sets for evaluations on Spanish and Basque
This test-sets are a reduced version of public available datasets. The datasets are balanced with more or less the same amount of hours in each dataset, for equal evaluation tasks.
Test splits:
mozilla-foundation/common_voice_18_0/es: a small split made from the official "test" split for spanish.
mozilla-foundation/common_voice_18_0/eu: a small split made from the official "test" split for basque.
openslr/es: a… See the full description on the dataset page: https://huggingface.co/datasets/HiTZ/benchmark_eseu_testsets.X-Voice-TestsetX-Voice Multilingual Test Set
High-Fidelity Test Set for Multilingual Text-to-Speech across 30 Languages
This test set is built as part of the research: X-Voice: One Speaker, 30+ Languages with Zero-Shot Voice Cloning, serving as the evaluation benchmark for our model.
Dataset Summary
30 languages
European: bg (Bulgarian), cs (Czech), da (Danish), de (German), el (Greek), en (English), es (Spanish), et (Estonian), fi (Finnish), fr (French), hr (Croatian), hu (Hungarian), it… See the full description on the dataset page: https://huggingface.co/datasets/XRXRX/X-Voice-Testset.cv10-uk-testset-clean
The cleaned Common Voice 10 (test set) that has been checked by a human for Ukrainian 🇺🇦
Overview
This repository contains the archive of Common Voice 10 (test set) with checked Ukrainian transcriptions and audios.
All audios have been checked by a human to be sure that they are correct.
This archive is used to test all ASR models listed here: https://github.com/egorsmkv/speech-recognition-uk
Community
Discord: https://bit.ly/discord-uds
Speech… See the full description on the dataset page: https://huggingface.co/datasets/Yehor/cv10-uk-testset-clean.Audio-Understanding-Test-Set
Audio Understanding Test Set
A structured dataset for evaluating audio understanding capabilities of multimodal AI models. Contains 137 test prompts across 22 categories, paired with a 20-minute voice sample and 49 completed model outputs from Gemini 3.1 Flash Lite.
Overview
Property
Value
Total prompts
137
Implemented (with prompt text)
49
Suggested (description only)
88
Completed outputs
49
Categories
22
Model under test… See the full description on the dataset page: https://huggingface.co/datasets/danielrosehill/Audio-Understanding-Test-Set.wuw_testset1
Yougen/wuw_testset1
Wake-Up-Word (WUW) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where multiple
utterances share a long recording via the segments file.
To avoid duplicating audio, each tar sample corresponds to one full
recording. The utterance-level metadata (id / start / end / text / spk / duration) is stored in a JSON list inside that sample.
Downstream consumers slice the decoded… See the full description on the dataset page: https://huggingface.co/datasets/heimayuan/wuw_testset1.ASR-Testset
Chinese ASR Open-Source Testsets (中文语音识别开源测试集汇总)
本仓库汇总了当前中文语音识别（ASR）领域最主流的开源测试集，涵盖了从通用场景、会议场景到多方言场景的全面评估维度。
1. 基础通用领域测试集
这些是学术界和工业界最常用的标准测试集：
Aishell-1: 经典的中文开源语音数据库，由 400 人录制，测试集包含了清晰的普通话。
Aishell-2: 规模比 Aishell-1 更大，录制环境更严谨（使用 iPhone 录制），是评估中文模型性能的基石。
Aidatatatang_200zh: 由数据堂开源的 200 小时数据集的测试部分，包含多种移动端录制场景。
2. 行业与特定场景测试集
针对办公、远场及专业场景的针对性评估：
ws-net / ws-meeting: 侧重于会议场景、职场交流，通常包含较多的环境噪声或多人交谈。
Test_Ali_near / far:… See the full description on the dataset page: https://huggingface.co/datasets/xuyaya/ASR-Testset.Easy-Turn-Testset
Easy Turn: Integrating Acoustic and Linguistic Modalities for Robust Turn-Taking in Full-Duplex Spoken Dialogue Systems
Guojian Li1, Chengyou Wang1, Hongfei Xue1,
Shuiyuan Wang1, Dehui Gao1, Zihan Zhang2,
Yuke Lin2, Wenjie Li2, Longshuai Xiao2,
Zhonghua Fu1,╀, Lei Xie1,╀
1 Audio, Speech and Language Processing Group (ASLP@NPU), Northwestern Polytechnical University
2 Huawei Technologies, China
🎤 Demo Page
🤖 Easy Turn Model
📑 Paper
🌐 Huggingface… See the full description on the dataset page: https://huggingface.co/datasets/hongshaoyo/Easy-Turn-Testset.kws_testset_ug_huiting
ygyuan/kws_testset_ug_huiting
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test: 1 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav #… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_ug_huiting.kws_testset_bo_sph
ygyuan/kws_testset_bo_sph
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test: 1 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav # raw… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_bo_sph.Easy-Turn-Testset
Easy Turn: Integrating Acoustic and Linguistic Modalities for Robust Turn-Taking in Full-Duplex Spoken Dialogue Systems
Guojian Li1, Chengyou Wang1, Hongfei Xue1,
Shuiyuan Wang1, Dehui Gao1, Zihan Zhang2,
Yuke Lin2, Wenjie Li2, Longshuai Xiao2,
Zhonghua Fu1,╀, Lei Xie1,╀
1 Audio, Speech and Language Processing Group (ASLP@NPU), Northwestern Polytechnical University
2 Huawei Technologies, China
🎤 Demo Page
🤖 Easy Turn Model
📑 Paper
🌐 Huggingface… See the full description on the dataset page: https://huggingface.co/datasets/xingluran/Easy-Turn-Testset.kws_testset_bo_yalu
ygyuan/kws_testset_bo_yalu
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test: 2 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav # raw… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_bo_yalu.kws_testset_di
ygyuan/kws_testset_di
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test: 1 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav # raw… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_di.kws_testset_bo_huiting
ygyuan/kws_testset_bo_huiting
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test: 2 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav #… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_bo_huiting.kws_testset_ct_sph
ygyuan/kws_testset_ct_sph
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test: 1 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav # raw… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_ct_sph.kws_testset_kk
ygyuan/kws_testset_kk
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test_mht: 1 tar shard(s)
test_thu: 1 tar shard(s)
Inside each tar, every sample is a pair sharing a unique… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_kk.kws_testset_mn_huiting
ygyuan/kws_testset_mn_huiting
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test: 1 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav #… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_mn_huiting.kws_testset_mn_sph
ygyuan/kws_testset_mn_sph
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test: 1 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav # raw… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_mn_sph.kws_testset_ct_huiting
ygyuan/kws_testset_ct_huiting
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test: 3 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav #… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_ct_huiting.kws_testset_ug_sph
ygyuan/kws_testset_ug_sph
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test: 1 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav # raw… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_ug_sph.kws_testset_hm
ygyuan/kws_testset_hm
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test: 3 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav # raw… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_hm.kws_testset_zh_s2t
ygyuan/kws_testset_zh_s2t
Keyword-Spotting (KWS) speech dataset, packed as WebDataset tar shards.
The input is a Kaldi-style data directory
(wav.scp, text, utt2spk, utt2dur, segments), where each
utterance is packed as a single tar sample.
Layout
data/
<split>/
metadata.csv
audio/
<split>-000.tar
<split>-001.tar
...
Shard counts:
test: 12 tar shard(s)
Inside each tar, every sample is a pair sharing a unique key:
<key>.wav # raw… See the full description on the dataset page: https://huggingface.co/datasets/ygyuan/kws_testset_zh_s2t.