Datasets:

clarin-pl
/

aspectemo

Tasks:

Token Classification

Modalities:

Sub-tasks:

sentiment-classification

Languages:

Size:

Libraries:

License:

Dataset card Data Studio Files Files and versions

asawczyn commited on Aug 29, 2022

Commit

1fde81e

·

1 Parent(s): 6aac80d

Update README.md

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@@ -43,9 +43,15 @@ Aspect-based sentiment analysis (ABSA) is a text analysis method that categorize
 **Domain**: school, medicine, hotels and products
-**Measurements**:
-**Example***: ['Dużo', 'wymaga', ',', 'ale', 'bardzo', 'uczciwy', 'i', 'przyjazny', 'studentom', '.', 'Warto', 'chodzić', 'na', 'konsultacje', '.', 'Docenia', 'postępy', 'i', 'zaangażowanie', '.', 'Polecam', '.']* → *['O', 'a_plus_s', 'O', 'O', 'O', 'a_plus_m', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'a_zero', 'O', 'a_plus_m', 'O', 'O', 'O', 'O', 'O', 'O']*
 ## Data splits

 **Domain**: school, medicine, hotels and products
+**Measurements**: F1-score (seqeval)
+**Example***:*
+Input: `['Dużo', 'wymaga', ',', 'ale', 'bardzo', 'uczciwy', 'i', 'przyjazny', 'studentom', '.', 'Warto', 'chodzić', 'na', 'konsultacje', '.', 'Docenia', 'postępy', 'i', 'zaangażowanie', '.', 'Polecam', '.']`
+Input (translated by DeepL): `'Demands a lot , but very honest and student friendly . Worth going to consultations . Appreciates progress and commitment . I recommend .'`
+Output: `['O', 'a_plus_s', 'O', 'O', 'O', 'a_plus_m', 'O', 'O', 'O', 'O', 'O', 'O', 'O', 'a_zero', 'O', 'a_plus_m', 'O', 'O', 'O', 'O', 'O', 'O']`
 ## Data splits