Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
dataset_info:
|
| 3 |
features:
|
|
|
|
| 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:
|