nqv2291/vi-mT5-ner-vlsp-GOLD

该数据集包含三个主要特征：input_ids（int32序列）、attention_mask（int8序列）和labels（int64序列）。数据集分为训练集和评估集，训练集包含25495个样本，评估集包含4265个样本。数据集的下载大小为5402250字节，总大小为29988750字节。配置信息中指定了训练集和评估集的数据文件路径。

The dataset contains three main features: input_ids (int32 sequence), attention_mask (int8 sequence), and labels (int64 sequence). The dataset is divided into a training set and an evaluation set, with the training set containing 25,495 samples and the evaluation set containing 4,265 samples. The download size of the dataset is 5,402,250 bytes, and the total size is 29,988,750 bytes. The configuration information specifies the data file paths for the training and evaluation sets.

原始信息汇总

数据集概述

数据特征

• input_ids: 序列类型为 int32
• attention_mask: 序列类型为 int8
• labels: 序列类型为 int64

数据分割

• train:
  • 字节数: 25680151
  • 样本数: 25495
• eval:
  • 字节数: 4308599
  • 样本数: 4265

数据集大小

• 下载大小: 5402250 字节
• 数据集总大小: 29988750 字节

配置

• config_name: default
  • data_files:
    • train: data/train-*
    • eval: data/eval-*