distil-whisper/librispeech_asr-prompted

---
dataset_info:
config_name: all
features:
- name: file
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: text
dtype: string
- name: speaker_id
dtype: int64
- name: chapter_id
dtype: int64
- name: id
dtype: string
- name: whisper_transcript_unprompted
dtype: string
- name: whisper_transcript
dtype: string
splits:
- name: train.clean.100
num_bytes: 6641615051.062
num_examples: 28539
- name: train.clean.360
num_bytes: 23977966959.828
num_examples: 104014
- name: train.other.500
num_bytes: 31918849882.584
num_examples: 148688
- name: validation.clean
num_bytes: 361026354.966
num_examples: 2703
- name: validation.other
num_bytes: 338707588.648
num_examples: 2864
- name: test.clean
num_bytes: 369123744.42
num_examples: 2620
- name: test.other
num_bytes: 353861942.154
num_examples: 2939
download_size: 61926395211
dataset_size: 63961151523.662
configs:
- config_name: all
data_files:
- split: train.clean.100
path: all/train.clean.100-*
- split: train.clean.360
path: all/train.clean.360-*
- split: train.other.500
path: all/train.other.500-*
- split: validation.clean
path: all/validation.clean-*
- split: validation.other
path: all/validation.other-*
- split: test.clean
path: all/test.clean-*
- split: test.other
path: all/test.other-*
---
# Dataset Card for "librispeech_asr-prompted"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

原始信息汇总

数据集概述

数据集信息

• 配置名称: all
• 特征:
  • 文件名: file (类型: string)
  • 音频: audio (类型: audio, 采样率: 16000)
  • 文本: text (类型: string)
  • 说话者ID: speaker_id (类型: int64)
  • 章节ID: chapter_id (类型: int64)
  • ID: id (类型: string)
  • 无提示的Whisper转录: whisper_transcript_unprompted (类型: string)
  • Whisper转录: whisper_transcript (类型: string)

数据分割

• 训练集:
  • train.clean.100: 28539个样本, 6641615051.062字节
  • train.clean.360: 104014个样本, 23977966959.828字节
  • train.other.500: 148688个样本, 31918849882.584字节
• 验证集:
  • validation.clean: 2703个样本, 361026354.966字节
  • validation.other: 2864个样本, 338707588.648字节
• 测试集:
  • test.clean: 2620个样本, 369123744.42字节
  • test.other: 2939个样本, 353861942.154字节

数据集大小

• 下载大小: 61926395211字节
• 数据集大小: 63961151523.662字节

配置详情

• 配置名称: all
• 数据文件:
  • train.clean.100: all/train.clean.100-*
  • train.clean.360: all/train.clean.360-*
  • train.other.500: all/train.other.500-*
  • validation.clean: all/validation.clean-*
  • validation.other: all/validation.other-*
  • test.clean: all/test.clean-*
  • test.other: all/test.other-*