sanchit-gandhi/common_voice_13_0_hi_pseudo_labelled
收藏Hugging Face2023-11-16 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/sanchit-gandhi/common_voice_13_0_hi_pseudo_labelled
下载链接
链接失效反馈官方服务:
资源简介:
---
dataset_info:
config_name: hi
features:
- name: client_id
dtype: string
- name: path
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
- name: up_votes
dtype: int64
- name: down_votes
dtype: int64
- name: age
dtype: string
- name: gender
dtype: string
- name: accent
dtype: string
- name: locale
dtype: string
- name: segment
dtype: string
- name: variant
dtype: string
- name: whisper_transcript
sequence: int64
splits:
- name: train
num_bytes: 133453462.934
num_examples: 4479
- name: validation
num_bytes: 67346656.935
num_examples: 2281
- name: test
num_bytes: 102696067.039
num_examples: 2947
download_size: 269383712
dataset_size: 303496186.908
configs:
- config_name: hi
data_files:
- split: train
path: hi/train-*
- split: validation
path: hi/validation-*
- split: test
path: hi/test-*
---
# Dataset Card for "common_voice_13_0_hi_pseudo_labelled"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
The dataset common_voice_13_0_hi_pseudo_labelled includes various features such as client_id, path, audio data (sampling rate 16000), sentence, up_votes, down_votes, age, gender, accent, locale, segment, variant, and whisper_transcript. It is divided into train, validation, and test sets, containing 4479, 2281, and 2947 examples respectively.
提供机构:
sanchit-gandhi
原始信息汇总
数据集概述
数据集信息
- 配置名称: hi
- 特征:
- client_id: 字符串
- path: 字符串
- audio: 音频,采样率为16000
- sentence: 字符串
- up_votes: 整数64位
- down_votes: 整数64位
- age: 字符串
- gender: 字符串
- accent: 字符串
- locale: 字符串
- segment: 字符串
- variant: 字符串
- whisper_transcript: 整数64位序列
数据分割
- 训练集:
- 字节数: 133453462.934
- 样本数: 4479
- 验证集:
- 字节数: 67346656.935
- 样本数: 2281
- 测试集:
- 字节数: 102696067.039
- 样本数: 2947
数据大小
- 下载大小: 269383712
- 数据集大小: 303496186.908
配置
- 配置名称: hi
- 数据文件:
- 训练集: hi/train-*
- 验证集: hi/validation-*
- 测试集: hi/test-*



