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yassmine-lam opened this issue Apr 23, 2021 · 8 comments
Closed

dataset #25

yassmine-lam opened this issue Apr 23, 2021 · 8 comments

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@yassmine-lam
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Hi,

could u give us a description about the dataset format?

thank u

@yangheng95
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For the datasets, each row contains a token or word, an ATE tag and a polarity tag. If a token or word does not belong to an aspect, the polarity is -1, else: 0 for negative, 1 for neutral, 2 for positive.

However, each sample only label polarity for one aspect, other's polarity is -1 the same as non aspect words.

e.g.

I O -1
charge O -1
it O -1
at O -1
night O -1
and O -1
skip O -1
taking O -1
the O -1
cord B-ASP 1
with O -1
me O -1
because O -1
of O -1
the O -1
good O -1
battery B-ASP -1
life I-ASP -1
. O -1

@yassmine-lam
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ok thank u

@parasd086
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What's the difference between I-ASP and B-ASP?

@seominseok48349278
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What's the difference between I-ASP and B-ASP?

yangheng95/ABSADatasets#24

@liufenghupan
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您好,我正在构造一个自己的中文数据集,但是看了您的训练数据有一些问题想要请教,我看到您的每一个评论对象当中只标注一个属性,其他属性情感极性标位-1,但是您的所有的评论对象当中都只有一个B-ASP,如果一个评论对象当中有很多属性,每一个属性的标记不是都应该用B-ASP开始吗?还有就是我发现您的中文数据集中的极性只有0和2,为什么中文数据集比英文数据集少了“中性”的情感分类呢?感谢您的工作,希望能得到您的回复,谢谢。

@yangheng95
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#30 (comment)

因为原始中文数据集只有两个类别。

@liufenghupan
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#30 (comment)

因为原始中文数据集只有两个类别。

非常感谢!

@AsuSociety
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For the datasets, each row contains a token or word, an ATE tag and a polarity tag. If a token or word does not belong to an aspect, the polarity is -1, else: 0 for negative, 1 for neutral, 2 for positive.

However, each sample only label polarity for one aspect, other's polarity is -1 the same as non aspect words.

e.g.

I O -1 charge O -1 it O -1 at O -1 night O -1 and O -1 skip O -1 taking O -1 the O -1 cord B-ASP 1 with O -1 me O -1 because O -1 of O -1 the O -1 good O -1 battery B-ASP -1 life I-ASP -1 . O -1

Hi, I'm trying to prepare a data set for a project I'm doing and I couldn't understand the reference to the ATE tag, when does it get 0/1/2?
Compared to the example you gave here, my data set is divided into complete sentences that return positive/negative (in polarity).

Thanks in advance.

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6 participants