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Intellua/meetspeech-full

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Hugging Face2024-05-12 更新2024-06-12 收录
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https://hf-mirror.com/datasets/Intellua/meetspeech-full
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资源简介:
--- dataset_info: features: - name: raw_transcription dtype: string - name: transcription dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: file_path dtype: string - name: type dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 46361529519.84661 num_examples: 134766 - name: test num_bytes: 13246284787.58756 num_examples: 38505 - name: validation num_bytes: 6622975526.74383 num_examples: 19252 download_size: 62007955722 dataset_size: 66230789834.178 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

This dataset includes features such as raw transcription, processed transcription, audio files, file paths, and types. The audio files have a sampling rate of 16000Hz. The dataset is divided into train, test, and validation sets, containing 134766, 38505, and 19252 samples respectively. The total download size is 62007955722 bytes, and the dataset size is 66230789834.178 bytes.
提供机构:
Intellua
原始信息汇总

数据集概述

数据集特征

  • raw_transcription: 数据类型为字符串。
  • transcription: 数据类型为字符串。
  • audio: 数据类型为音频,采样率为16000 Hz。
  • file_path: 数据类型为字符串。
  • type: 数据类型为字符串。
  • index_level_0: 数据类型为int64。

数据集分割

  • train: 包含134766个样本,总大小为46361529519.84661字节。
  • test: 包含38505个样本,总大小为13246284787.58756字节。
  • validation: 包含19252个样本,总大小为6622975526.74383字节。

数据集大小

  • 下载大小: 62007955722字节。
  • 数据集总大小: 66230789834.178字节。

配置文件

  • 默认配置: 包含训练、测试和验证数据的路径配置。
    • 训练数据路径: data/train-*
    • 测试数据路径: data/test-*
    • 验证数据路径: data/validation-*
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