five

arbml/ArSL21L

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Hugging Face2024-04-07 更新2024-06-11 收录
下载链接:
https://hf-mirror.com/datasets/arbml/ArSL21L
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资源简介:
--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': ain '1': al '2': aleff '3': bb '4': dal '5': dha '6': dhad '7': fa '8': gaaf '9': ghain '10': ha '11': haa '12': jeem '13': kaaf '14': khaa '15': la '16': laam '17': meem '18': nun '19': ra '20': saad '21': seen '22': sheen '23': ta '24': taa '25': thaa '26': thal '27': toot '28': waw '29': ya '30': yaa '31': zay splits: - name: train num_bytes: 647055283.152 num_examples: 14202 download_size: 846084553 dataset_size: 647055283.152 --- # Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage: [info]** - **Repository: [info]** - **Paper: [info]** - **Leaderboard: [info]** - **Point of Contact: [info]** ### Dataset Summary [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
提供机构:
arbml
原始信息汇总

数据集概述

数据集配置

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

数据集信息

  • 特征:
    • 名称: image
      • 数据类型: image
    • 名称: label
      • 数据类型: class_label
        • 名称:
          • 0: ain
          • 1: al
          • 2: aleff
          • 3: bb
          • 4: dal
          • 5: dha
          • 6: dhad
          • 7: fa
          • 8: gaaf
          • 9: ghain
          • 10: ha
          • 11: haa
          • 12: jeem
          • 13: kaaf
          • 14: khaa
          • 15: la
          • 16: laam
          • 17: meem
          • 18: nun
          • 19: ra
          • 20: saad
          • 21: seen
          • 22: sheen
          • 23: ta
          • 24: taa
          • 25: thaa
          • 26: thal
          • 27: toot
          • 28: waw
          • 29: ya
          • 30: yaa
          • 31: zay

数据分割

  • 名称: train
    • 字节数: 647055283.152
    • 示例数: 14202

数据集大小

  • 下载大小: 846084553
  • 数据集大小: 647055283.152
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