datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
asr-leaderboard-datasets
ASR Leaderboard Datasets
This repository contains test splits from multiple speech corpora, including FLEURS, Common Voice (MCV), and Multilingual LibriSpeech (MLS).
How to Load
To load a specific subset, use load_dataset with the corresponding config_name in the format <set>_<lang>.
from datasets import load_dataset
# Load the FLEURS dataset for Bulgarian
fleurs_bg = load_dataset("nithinraok/asr-leaderboard-datasets", "fleurs_bg")
print(fleurs_bg)
# Load the MCV… See the full description on the dataset page: https://huggingface.co/datasets/nithinraok/asr-leaderboard-datasets.danish-asr-leaderboard
Open Danish ASR Leaderboard — Results
Benchmark results backing the Open Danish ASR Leaderboard — an open, reproducible comparison of Danish speech-to-text models.
Every model is transcribed and scored identically on the same five independent public Danish test sets, so the numbers compare directly: Word Error Rate (WER) and Character Error Rate (CER) — lower is better — plus speed. Open-weight Danish speech recognition models you can run yourself and hosted transcription APIs… See the full description on the dataset page: https://huggingface.co/datasets/RyeAI/danish-asr-leaderboard.open-asr-leaderboard-multilingual-datasets
ASR Leaderboard Datasets
This repository contains test splits from multiple speech corpora, including FLEURS, Common Voice (MCV), and Multilingual LibriSpeech (MLS).
How to Load
To load a specific subset, use load_dataset with the corresponding config_name in the format <set>_<lang>.
from datasets import load_dataset
# Load the FLEURS dataset for Bulgarian
fleurs_bg = load_dataset("nithinraok/asr-leaderboard-datasets", "fleurs_bg")
print(fleurs_bg)
# Load the… See the full description on the dataset page: https://huggingface.co/datasets/hf-audio/open-asr-leaderboard-multilingual-datasets.MonsoonASR-Open-ASR-leaderboard-en-IN
Voice Arena Monsoon en-IN (public test)
Part of the Open ASR Leaderboard, in the main board's default column set, so it contributes to the headline Average WER for every model listed.
A conversational Indian English ASR test set that records who was speaking, not only what
was said. Every clip carries twelve speaker attributes — gender, age, native district
and state, education, occupation, income band, handset — so a difference between two
systems can be traced to a group of… See the full description on the dataset page: https://huggingface.co/datasets/VoiceArena/MonsoonASR-Open-ASR-leaderboard-en-IN.MonsoonASR-Open-ASR-leaderboard-hi-IN
Voice Arena Monsoon hi (public test)
Part of the Open ASR Leaderboard, on the Multilingual tab, where a model is ranked only if it supports every selected language.
A conversational Hindi ASR test set that records who was speaking, not only what
was said. Every clip carries twelve speaker attributes — gender, age, native district
and state, education, occupation, income band, handset — so a difference between two
systems can be traced to a group of speakers instead of… See the full description on the dataset page: https://huggingface.co/datasets/VoiceArena/MonsoonASR-Open-ASR-leaderboard-hi-IN.ark-asr-3b-open-asr-leaderboard-results
ARK-ASR-3B Open ASR Leaderboard Results
Raw JSONL manifests for AutoArk-AI/ARK-ASR-3B on the public English
short-form hf-audio/open-asr-leaderboard splits.
These manifests were generated on a local 8x RTX 4090 machine and scored with
the shared Open ASR Leaderboard scorer:
PYTHONPATH=. python - <<'PY'
from normalizer.eval_utils import score_results
score_results(
'ark_asr/results.AutoArk-AI-ARK-ASR-3B_20260622_official',
'AutoArk-AI/ARK-ASR-3B',
)
PY
Important:… See the full description on the dataset page: https://huggingface.co/datasets/Edge0/ark-asr-3b-open-asr-leaderboard-results.Vietnamese-asr-leaderboard
📊 Vietnamese Open ASR Evaluation Dataset Storage
Kho lưu trữ dữ liệu nhãn bảo mật (Ground Truth) phục vụ cho hệ thống Vietnamese Open ASR Leaderboard. Toàn bộ dữ liệu được tổng hợp từ 9 bộ dữ liệu tiếng Việt công khai lớn nhất hiện nay, sau đó trải qua quy trình chuẩn hóa văn bản nghiêm ngặt để làm thước đo chuẩn mực đánh giá hiệu năng các mô hình nhận dạng giọng nói (ASR).
[!TIP]
🚀 NỘP BÀI ĐÁNH GIÁ TẠI ĐÂY:
📈 1. Bảng Thống Kê Chi Tiết Hệ Dữ Liệu… See the full description on the dataset page: https://huggingface.co/datasets/VietAudio-team/Vietnamese-asr-leaderboard.open-asr-leaderboard-multilingual-datasets
Open ASR Leaderboard Armenian Test Datasets
This private repository holds leaderboard-compatible Armenian test
configurations while their integration is being validated.
Configurations
fleurs_hy
Source: google/fleurs,
configuration hy_am, test split
Reviewed reference changes:
Metric-AI/fleurs-corrections,
test split
932 recordings; all 314 reviewed corrections were matched to the original
source transcript and applied
mcv_hy… See the full description on the dataset page: https://huggingface.co/datasets/Metric-AI/open-asr-leaderboard-multilingual-datasets.avsr-leaderboard
Japanese AVSR Leaderboard
This is an AVSR leaderboard that evaluates AVSR/ASR models using an internally collected out-of-domain evaluation dataset for AVSR benchmarking.
Evaluation Dataset
We randomly sampled sentences from the JSUT corpus, had about five speakers read them aloud while simultaneously recording their faces, and collected 660 audio-visual samples that passed manual quality checks.
Metrics
The model performance is evaluated using CER (Character… See the full description on the dataset page: https://huggingface.co/datasets/enactic/avsr-leaderboard.datasetsAll eight of datasets in ESB can be downloaded and prepared in just a single line of code through the Hugging Face Datasets library:
from datasets import load_dataset
librispeech = load_dataset("esb/datasets", "librispeech", split="train")
"esb/datasets": the repository namespace. This is fixed for all ESB datasets.
"librispeech": the dataset name. This can be changed to any of any one of the eight datasets in ESB to download that dataset.
split="train": the split. Set this to one of… See the full description on the dataset page: https://huggingface.co/datasets/open-asr-leaderboard/datasets.
