sidaga123/autotrain-data-dsadsad

该数据集由AutoTrain自动处理，用于项目dsadsad。数据集的语言代码为unk，表示未知。数据集包含context、question、answers.text和answers.answer_start等字段，用于描述交易上下文、问题、答案文本和答案起始位置。数据集被分为训练集和验证集，分别包含2400和600个样本。

This dataset was automatically processed by AutoTrain for the project dsadsad. Its language code is unk, which denotes unknown. The dataset comprises fields including context, question, answers.text, and answers.answer_start, which are used to represent transaction context, questions, answer texts, and the start positions of answers, respectively. The dataset is divided into a training set and a validation set, which contain 2400 and 600 samples respectively.

原始信息汇总

AutoTrain Dataset for project: dsadsad

数据集描述

该数据集由AutoTrain自动处理，用于项目dsadsad。

语言

数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集的一个样本如下：

json [ { "context": "Adjustment Card Transaction Account XXXX9820 Card XXXX5713 CNY 896.2 Amazon Sydney Australia 25/09/23 18:30 Available Balance CNY 249385.43", "question": "What is the transaction currency?", "answers.text": [ "CNY" ], "answers.answer_start": [ 59 ] }, { "context": "Withdrawal Card Transaction Account XXXX4602 Card XXXX9502 INR 59.17 Walmart Tokyo Japan 09/12/22 08:30 Available Balance INR 92357.83", "question": "What is the Merchant Name?", "answers.text": [ "Walmart" ], "answers.answer_start": [ 69 ] } ]

数据集字段

数据集包含以下字段（也称为“特征”）：

json { "context": "Value(dtype=string, id=None)", "question": "Value(dtype=string, id=None)", "answers.text": "Sequence(feature=Value(dtype=string, id=None), length=-1, id=None)", "answers.answer_start": "Sequence(feature=Value(dtype=int32, id=None), length=-1, id=None)" }

数据集分割

该数据集被分割为训练集和验证集。分割大小如下：

分割名称	样本数量
train	2400
valid	600