metadata
dataset_info:
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
- name: speaker
dtype: string
- name: category
dtype: string
splits:
- name: chemistry
num_bytes: 5614555106.796
num_examples: 17591
- name: computergames
num_bytes: 5610652921.056
num_examples: 17484
- name: cytologygenetics
num_bytes: 4554410195.82
num_examples: 12855
- name: economics
num_bytes: 5106377220.938
num_examples: 14069
- name: linguistics
num_bytes: 4620074599.26
num_examples: 12990
- name: mathematics
num_bytes: 3109788709.224
num_examples: 11158
- name: mlnlp
num_bytes: 1463497003.336
num_examples: 4063
- name: philosophy
num_bytes: 10148260747.051
num_examples: 26417
- name: politics
num_bytes: 6389287932.055
num_examples: 17985
- name: zoology
num_bytes: 1332449573.66
num_examples: 5870
download_size: 39652454717
dataset_size: 47949354009.19601
configs:
- config_name: default
data_files:
- split: chemistry
path: data/chemistry-*
- split: computergames
path: data/computergames-*
- split: cytologygenetics
path: data/cytologygenetics-*
- split: economics
path: data/economics-*
- split: linguistics
path: data/linguistics-*
- split: mathematics
path: data/mathematics-*
- split: mlnlp
path: data/mlnlp-*
- split: philosophy
path: data/philosophy-*
- split: politics
path: data/politics-*
- split: zoology
path: data/zoology-*
Synthetic dataset based on highly specialised texts from Wikipedia. This version is splitted by category. Voiced using Yandex SpeechKit with random voices, roles and speech rate. Can be used to evaluate ASR models not trained on given domains and to identify areas that the model does not handle well. Non-splitted version can be found here: https://huggingface.co/datasets/rmndrnts/wikipedia_asr