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ahmed275/FILTERED_FAST

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Hugging Face2024-06-04 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/ahmed275/FILTERED_FAST
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资源简介:
--- dataset_info: features: - name: id dtype: string - name: year dtype: int64 - name: url dtype: string - name: opinionOfTheCourt dtype: string - name: syllabus dtype: string - name: issueArea dtype: float64 - name: decisionDirection dtype: float64 splits: - name: train num_bytes: 96500032 num_examples: 4285 download_size: 49745093 dataset_size: 96500032 configs: - config_name: default data_files: - split: train path: data/train-* ---

The dataset includes multiple features such as id, year, url, opinionOfTheCourt, syllabus, issueArea, and decisionDirection. Each feature has its data type, for example, id and url are string types, year is an integer type, and issueArea and decisionDirection are float types. The dataset is divided into a training set (train) containing 4285 samples and 96500032 bytes of data. The total download size of the dataset is 49745093 bytes, and the dataset size is 96500032 bytes. The dataset configuration is default, with the training data file path being data/train-*.
提供机构:
ahmed275
原始信息汇总

数据集概述

数据集特征

  • id: 字符串类型
  • year: 整数类型
  • url: 字符串类型
  • opinionOfTheCourt: 字符串类型
  • syllabus: 字符串类型
  • issueArea: 浮点数类型
  • decisionDirection: 浮点数类型

数据集划分

  • 训练集(train):
    • 示例数量: 4285
    • 数据大小: 96500032字节

数据集大小

  • 下载大小: 49745093字节
  • 数据集总大小: 96500032字节
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