datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
esb-datasets-test-onlyAll 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/hf-audio/esb-datasets-test-only.omnievalkit-data-test
OmniEvalKit Evaluation Datasets
Evaluation datasets for OmniEvalKit,
a comprehensive evaluation framework for omni-modal (audio + video + image + text) models.
Overview
Total subsets: 89
Total samples: 353,610
Total size: 352.3 GB (Parquet with embedded audio/image, no video)
Subsets requiring video download: 42
Note: Video files are NOT embedded in the Parquet files due to size constraints.
Usage
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/xiaofff/omnievalkit-data-test.MegaBNSpeech_Test_Data
MegaBNSpeech Test Data
To evaluate the performance of the models, we used four test sets. Two of these were developed as part of the MegaBNSpeech corpus, while the remaining two (Fleurs and Common Voice) are commonly used test sets that are widely recognized by the speech community.
Use dataset library:
from datasets import load_dataset
dataset = load_dataset("hishab/MegaBNSpeech_Test_Data")
Reported Word error rate (WER) /character error rate (CER) on four test… See the full description on the dataset page: https://huggingface.co/datasets/hishab/MegaBNSpeech_Test_Data.test-audio-dataset
Test Audio Dataset
这是一个用于测试的音频数据集，包含 100 条伪造的 WAV 格式音频文件。
Dataset Structure
audio-dataset/
├── data/
│ ├── audio_0000.wav
│ ├── audio_0001.wav
│ └── ...
├── metadata.csv
└── README.md
Data Fields
file_name: 音频文件路径
transcription: 转录文本
speaker_id: 说话人ID
duration: 音频时长（秒）
sample_rate: 采样率
Usage
from datasets import load_dataset
dataset = load_dataset("your-username/test-audio-dataset")
License
MIT License
data_test
Audio + Transcript Dataset
Ez a készlet audio fájlokból és azonos nevű .txt átiratokból áll. Mezők: id, audio, text, text_vibevoice, relpath, duration, sample_rate, channels, bitrate_kbps, age, gender, accents.
Statisztika
Metrika
Érték
Minták száma
84687
Teljes időtartam
98.31 h
Átlag hossz
4.18 s
Medián hossz
3.98 s
5. percentilis
2.03 s
95. percentilis
7.02 s
Minimum hossz
0.81 s
Maximum hossz
13.77 s
Összes karakter (átirat)
4476524
Átlag… See the full description on the dataset page: https://huggingface.co/datasets/sarpba/data_test.testdataset
NeMo Tarred Dataset
Generated from Test3.
Train rows: 40338 · Test rows: 422
Shards: 5 · Codec: flac · Sample rate: 16000 Hz mono
Primary text: text · target_lang: ta-IN
is_tarred: true
tarred_audio_filepaths: .../audio__OP_0..4_CL_.tar
manifest_filepath: .../train_manifest.json
NikitaKras_cv_17_test_en_es_frCe répertoire est vide, il a été créé pour améliorer le référencement du jeu de données NikitaKras/cv_17_test_en_es_fr.
test-datasetstest-dataset
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/petergazdik/test-dataset.