paoloitaliani/news_articles

--- dataset_info: - config_name: corriere_autunno features: - name: author dtype: string - name: journal dtype: string - name: body dtype: string - name: date dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 339578 num_examples: 90 download_size: 237083 dataset_size: 339578 - config_name: corriere_primavera features: - name: author dtype: string - name: journal dtype: string - name: body dtype: string - name: date dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 319422 num_examples: 105 download_size: 206264 dataset_size: 319422 - config_name: fattoq_autunno features: - name: author dtype: string - name: journal dtype: string - name: body dtype: string - name: date dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 519012 num_examples: 133 download_size: 338948 dataset_size: 519012 - config_name: fattoq_primavera features: - name: author dtype: string - name: journal dtype: string - name: body dtype: string - name: date dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 508621 num_examples: 152 download_size: 331977 dataset_size: 508621 - config_name: ukraine features: - name: date dtype: timestamp[ns] - name: body dtype: string - name: author dtype: string - name: journal dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 81923456 num_examples: 27449 download_size: 0 dataset_size: 81923456 configs: - config_name: corriere_autunno data_files: - split: train path: corriere_autunno/train-* - config_name: corriere_primavera data_files: - split: train path: corriere_primavera/train-* - config_name: fattoq_autunno data_files: - split: train path: fattoq_autunno/train-* - config_name: fattoq_primavera data_files: - split: train path: fattoq_primavera/train-* - config_name: ukraine data_files: - split: train path: ukraine/train-* --- # Dataset Card for "news_articles" [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

数据集配置

corriere_autunno

• 特征:
  • author: string
  • journal: string
  • body: string
  • date: string
  • index_level_0: int64
• 分割:
  • train:
    • 字节数: 339578
    • 样本数: 90
• 下载大小: 237083
• 数据集大小: 339578
• 数据文件:
  • train: corriere_autunno/train-*

corriere_primavera

• 特征:
  • author: string
  • journal: string
  • body: string
  • date: string
  • index_level_0: int64
• 分割:
  • train:
    • 字节数: 319422
    • 样本数: 105
• 下载大小: 206264
• 数据集大小: 319422
• 数据文件:
  • train: corriere_primavera/train-*

fattoq_autunno

• 特征:
  • author: string
  • journal: string
  • body: string
  • date: string
  • index_level_0: int64
• 分割:
  • train:
    • 字节数: 519012
    • 样本数: 133
• 下载大小: 338948
• 数据集大小: 519012
• 数据文件:
  • train: fattoq_autunno/train-*

fattoq_primavera

• 特征:
  • author: string
  • journal: string
  • body: string
  • date: string
  • index_level_0: int64
• 分割:
  • train:
    • 字节数: 508621
    • 样本数: 152
• 下载大小: 331977
• 数据集大小: 508621
• 数据文件:
  • train: fattoq_primavera/train-*

ukraine

• 特征:
  • date: timestamp[ns]
  • body: string
  • author: string
  • journal: string
  • index_level_0: int64
• 分割:
  • train:
    • 字节数: 81923456
    • 样本数: 27449
• 下载大小: 0
• 数据集大小: 81923456
• 数据文件:
  • train: ukraine/train-*