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jstack32/LatinAccents

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Hugging Face2023-10-20 更新2024-03-04 收录
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https://hf-mirror.com/datasets/jstack32/LatinAccents
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资源简介:
--- language: - en license: apache-2.0 size_categories: ab: - 10K<n<100K ar: - 100K<n<1M as: - 1K<n<10K ast: - n<1K az: - n<1K ba: - 100K<n<1M bas: - 1K<n<10K be: - 100K<n<1M bg: - 1K<n<10K bn: - 100K<n<1M br: - 10K<n<100K ca: - 1M<n<10M ckb: - 100K<n<1M cnh: - 1K<n<10K cs: - 10K<n<100K cv: - 10K<n<100K cy: - 100K<n<1M da: - 1K<n<10K de: - 100K<n<1M dv: - 10K<n<100K el: - 10K<n<100K en: - 1M<n<10M eo: - 1M<n<10M es: - 1M<n<10M et: - 10K<n<100K eu: - 100K<n<1M fa: - 100K<n<1M fi: - 10K<n<100K fr: - 100K<n<1M fy-NL: - 10K<n<100K ga-IE: - 1K<n<10K gl: - 10K<n<100K gn: - 1K<n<10K ha: - 1K<n<10K hi: - 10K<n<100K hsb: - 1K<n<10K hu: - 10K<n<100K hy-AM: - 1K<n<10K ia: - 10K<n<100K id: - 10K<n<100K ig: - 1K<n<10K it: - 100K<n<1M ja: - 10K<n<100K ka: - 10K<n<100K kab: - 100K<n<1M kk: - 1K<n<10K kmr: - 10K<n<100K ky: - 10K<n<100K lg: - 100K<n<1M lt: - 10K<n<100K lv: - 1K<n<10K mdf: - n<1K mhr: - 100K<n<1M mk: - n<1K ml: - 1K<n<10K mn: - 10K<n<100K mr: - 10K<n<100K mrj: - 10K<n<100K mt: - 10K<n<100K myv: - 1K<n<10K nan-tw: - 10K<n<100K ne-NP: - n<1K nl: - 10K<n<100K nn-NO: - n<1K or: - 1K<n<10K pa-IN: - 1K<n<10K pl: - 100K<n<1M pt: - 100K<n<1M rm-sursilv: - 1K<n<10K rm-vallader: - 1K<n<10K ro: - 10K<n<100K ru: - 100K<n<1M rw: - 1M<n<10M sah: - 1K<n<10K sat: - n<1K sc: - 1K<n<10K sk: - 10K<n<100K skr: - 1K<n<10K sl: - 10K<n<100K sr: - 1K<n<10K sv-SE: - 10K<n<100K sw: - 100K<n<1M ta: - 100K<n<1M th: - 100K<n<1M ti: - n<1K tig: - n<1K tok: - 1K<n<10K tr: - 10K<n<100K tt: - 10K<n<100K tw: - n<1K ug: - 10K<n<100K uk: - 10K<n<100K ur: - 100K<n<1M uz: - 100K<n<1M vi: - 10K<n<100K vot: - n<1K yue: - 10K<n<100K zh-CN: - 100K<n<1M zh-HK: - 100K<n<1M zh-TW: - 100K<n<1M source_datasets: - extended|common_voice task_categories: - automatic-speech-recognition dataset_info: features: - name: path dtype: string - name: audio dtype: int64 - name: sentence dtype: string splits: - name: train num_bytes: 102 num_examples: 2 download_size: 0 dataset_size: 102 configs: - config_name: default data_files: - split: train path: data/train-* --- # 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]
提供机构:
jstack32
原始信息汇总

数据集概述

语言和大小

  • 语言: 多种语言
  • 大小: 不同语言的数据集大小范围如下:
    • ab: 10K<n<100K
    • ar: 100K<n<1M
    • as: 1K<n<10K
    • ast: n<1K
    • az: n<1K
    • ba: 100K<n<1M
    • bas: 1K<n<10K
    • be: 100K<n<1M
    • bg: 1K<n<10K
    • bn: 100K<n<1M
    • br: 10K<n<100K
    • ca: 1M<n<10M
    • ckb: 100K<n<1M
    • cnh: 1K<n<10K
    • cs: 10K<n<100K
    • cv: 10K<n<100K
    • cy: 100K<n<1M
    • da: 1K<n<10K
    • de: 100K<n<1M
    • dv: 10K<n<100K
    • el: 10K<n<100K
    • en: 1M<n<10M
    • eo: 1M<n<10M
    • es: 1M<n<10M
    • et: 10K<n<100K
    • eu: 100K<n<1M
    • fa: 100K<n<1M
    • fi: 10K<n<100K
    • fr: 100K<n<1M
    • fy-NL: 10K<n<100K
    • ga-IE: 1K<n<10K
    • gl: 10K<n<100K
    • gn: 1K<n<10K
    • ha: 1K<n<10K
    • hi: 10K<n<100K
    • hsb: 1K<n<10K
    • hu: 10K<n<100K
    • hy-AM: 1K<n<10K
    • ia: 10K<n<100K
    • id: 10K<n<100K
    • ig: 1K<n<10K
    • it: 100K<n<1M
    • ja: 10K<n<100K
    • ka: 10K<n<100K
    • kab: 100K<n<1M
    • kk: 1K<n<10K
    • kmr: 10K<n<100K
    • ky: 10K<n<100K
    • lg: 100K<n<1M
    • lt: 10K<n<100K
    • lv: 1K<n<10K
    • mdf: n<1K
    • mhr: 100K<n<1M
    • mk: n<1K
    • ml: 1K<n<10K
    • mn: 10K<n<100K
    • mr: 10K<n<100K
    • mrj: 10K<n<100K
    • mt: 10K<n<100K
    • myv: 1K<n<10K
    • nan-tw: 10K<n<100K
    • ne-NP: n<1K
    • nl: 10K<n<100K
    • nn-NO: n<1K
    • or: 1K<n<10K
    • pa-IN: 1K<n<10K
    • pl: 100K<n<1M
    • pt: 100K<n<1M
    • rm-sursilv: 1K<n<10K
    • rm-vallader: 1K<n<10K
    • ro: 10K<n<100K
    • ru: 100K<n<1M
    • rw: 1M<n<10M
    • sah: 1K<n<10K
    • sat: n<1K
    • sc: 1K<n<10K
    • sk: 10K<n<100K
    • skr: 1K<n<10K
    • sl: 10K<n<100K
    • sr: 1K<n<10K
    • sv-SE: 10K<n<100K
    • sw: 100K<n<1M
    • ta: 100K<n<1M
    • th: 100K<n<1M
    • ti: n<1K
    • tig: n<1K
    • tok: 1K<n<10K
    • tr: 10K<n<100K
    • tt: 10K<n<100K
    • tw: n<1K
    • ug: 10K<n<100K
    • uk: 10K<n<100K
    • ur: 100K<n<1M
    • uz: 100K<n<1M
    • vi: 10K<n<100K
    • vot: n<1K
    • yue: 10K<n<100K
    • zh-CN: 100K<n<1M
    • zh-HK: 100K<n<1M
    • zh-TW: 100K<n<1M

数据集信息

  • 特征:
    • path: 字符串类型
    • audio: 64位整数类型
    • sentence: 字符串类型
  • 分割:
    • train: 102字节,2个样本
  • 下载大小: 0字节
  • 数据集大小: 102字节

配置

  • 配置名称: default
  • 数据文件:
    • train: data/train-*

许可证

  • 许可证: Apache 2.0

任务类别

  • 任务类别: 自动语音识别

源数据集

  • 源数据集: common_voice
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