Gummybear05/E10_Yfreq_speed
收藏Hugging Face2023-12-22 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/Gummybear05/E10_Yfreq_speed
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资源简介:
---
dataset_info:
features:
- name: audio
struct:
- name: array
sequence: float64
- name: path
dtype: string
- name: sample_rate
dtype: int64
- name: text
dtype: string
- name: scriptId
dtype: int64
- name: fileNm
dtype: string
- name: recrdTime
dtype: float64
- name: recrdQuality
dtype: int64
- name: recrdDt
dtype: string
- name: scriptSetNo
dtype: string
- name: recrdEnvrn
dtype: string
- name: colctUnitCode
dtype: string
- name: cityCode
dtype: string
- name: recrdUnit
dtype: string
- name: convrsThema
dtype: string
- name: gender
dtype: string
- name: recorderId
dtype: string
- name: age
dtype: int64
splits:
- name: train
num_bytes: 11044951918
num_examples: 12401
download_size: 7866642397
dataset_size: 11044951918
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
The dataset includes multiple features such as audio, text, scriptId, fileNm, recrdTime, recrdQuality, recrdDt, scriptSetNo, recrdEnvrn, colctUnitCode, cityCode, recrdUnit, convrsThema, gender, recorderId, and age. Each feature has its specific data type. The dataset is divided into a training set with 12401 samples. The download size of the dataset is 7866642397 bytes, and the dataset size is 11044951918 bytes.
提供机构:
Gummybear05
原始信息汇总
数据集信息
特征
- audio
- array: 序列类型为
float64 - path: 数据类型为
string - sample_rate: 数据类型为
int64
- array: 序列类型为
- text: 数据类型为
string - scriptId: 数据类型为
int64 - fileNm: 数据类型为
string - recrdTime: 数据类型为
float64 - recrdQuality: 数据类型为
int64 - recrdDt: 数据类型为
string - scriptSetNo: 数据类型为
string - recrdEnvrn: 数据类型为
string - colctUnitCode: 数据类型为
string - cityCode: 数据类型为
string - recrdUnit: 数据类型为
string - convrsThema: 数据类型为
string - gender: 数据类型为
string - recorderId: 数据类型为
string - age: 数据类型为
int64
数据分割
- train
- num_bytes: 11044951918
- num_examples: 12401
数据集大小
- download_size: 7866642397
- dataset_size: 11044951918
配置
- default
- data_files
- split: train
- path: data/train-*
- data_files



