thanhduycao/data_for_synthesis_with_entities_align_v3
收藏Hugging Face2023-09-21 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/thanhduycao/data_for_synthesis_with_entities_align_v3
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资源简介:
---
dataset_info:
config_name: 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
features:
- name: id
dtype: string
- name: sentence
dtype: string
- name: intent
dtype: string
- name: sentence_annotation
dtype: string
- name: entities
list:
- name: type
dtype: string
- name: filler
dtype: string
- name: file
dtype: string
- name: audio
struct:
- name: array
sequence: float64
- name: path
dtype: string
- name: sampling_rate
dtype: int64
- name: origin_transcription
dtype: string
- name: sentence_norm
dtype: string
- name: w2v2_large_transcription
dtype: string
- name: wer
dtype: int64
- name: entities_norm
list:
- name: filler
dtype: string
- name: type
dtype: string
- name: entities_align
dtype: string
splits:
- name: train
num_bytes: 2667449542.4493446
num_examples: 5029
download_size: 632908060
dataset_size: 2667449542.4493446
configs:
- config_name: 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
data_files:
- split: train
path: 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/train-*
---
# Dataset Card for "data_for_synthesis_with_entities_align_v3"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
thanhduycao
原始信息汇总
数据集概述
数据集配置
- 配置名称: 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
数据特征
- id: 字符串类型
- sentence: 字符串类型
- intent: 字符串类型
- sentence_annotation: 字符串类型
- entities: 列表类型
- type: 字符串类型
- filler: 字符串类型
- file: 字符串类型
- audio: 结构类型
- array: 浮点数序列
- path: 字符串类型
- sampling_rate: 整数类型
- origin_transcription: 字符串类型
- sentence_norm: 字符串类型
- w2v2_large_transcription: 字符串类型
- wer: 整数类型
- entities_norm: 列表类型
- filler: 字符串类型
- type: 字符串类型
- entities_align: 字符串类型
数据分割
- train:
- 字节数: 2667449542.4493446
- 样本数: 5029
数据大小
- 下载大小: 632908060
- 数据集大小: 2667449542.4493446
数据文件
- 配置名称: 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
- 数据文件:
- split: train
- path: 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/train-*



