nihiluis commited on
Commit
2072b7b
·
verified ·
1 Parent(s): 433575e

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +11 -11
README.md CHANGED
@@ -1,14 +1,3 @@
1
- Dataset for basic argumentation in online reviews
2
-
3
- The dataset aims to annotate online review sentences for basic argumentative quality, sentiment and aspect of interest. It covers 1016 online reviews with 7286 sentences for the following domains: products from Amazon, local services, restaurant and hotels from Yelp and brokerage apps from the Google Play Store.
4
-
5
- The label set descriptions are as follows. The respective RoBERTa models are linked as well.
6
-
7
- Argument component: Distinguishes the argumentative component that is used. Can be one of: claim, premise, background.
8
- Specificity: Differentiates between generic statements and more thoughtful user statements. Can be one of: general, specific, experience.
9
- Sentiment: A positive, balanced, negative or neutral argumentative statement about the reviewed item.
10
- Aspect: Provides more insight into what aspect of interest the argumentative statement covers. Can be one or more of: general sentiment, price, delivery, function and quality, fun and usage, style, installation, customer service and none. Only available for the Amazon review subset.
11
-
12
  ---
13
  dataset_info:
14
  features:
@@ -42,3 +31,14 @@ configs:
42
  - split: train
43
  path: data/train-*
44
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  dataset_info:
3
  features:
 
31
  - split: train
32
  path: data/train-*
33
  ---
34
+
35
+ Dataset for basic argumentation in online reviews
36
+
37
+ The dataset aims to annotate online review sentences for basic argumentative quality, sentiment and aspect of interest. It covers 1016 online reviews with 7286 sentences for the following domains: products from Amazon, local services, restaurant and hotels from Yelp and brokerage apps from the Google Play Store.
38
+
39
+ The label set descriptions are as follows. The respective RoBERTa models are linked as well.
40
+
41
+ Argument component: Distinguishes the argumentative component that is used. Can be one of: claim, premise, background.
42
+ Specificity: Differentiates between generic statements and more thoughtful user statements. Can be one of: general, specific, experience.
43
+ Sentiment: A positive, balanced, negative or neutral argumentative statement about the reviewed item.
44
+ Aspect: Provides more insight into what aspect of interest the argumentative statement covers. Can be one or more of: general sentiment, price, delivery, function and quality, fun and usage, style, installation, customer service and none. Only available for the Amazon review subset.