Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Turkish
Size:
100K - 1M
License:
BayanDuygu
commited on
Update README.md
Browse files
README.md
CHANGED
@@ -38,7 +38,7 @@ to offer a finely compiled medical NLP dataset for Turkish NLU.
|
|
38 |
|
39 |
|
40 |
### Dataset Instances
|
41 |
-
The dataset includes 1,052 products of 262 distinct brands with
|
42 |
Each dataset instance contains
|
43 |
|
44 |
- product name
|
@@ -64,7 +64,7 @@ If you're rather interested in JSON format where reviews are accumulated by prod
|
|
64 |
|
65 |
| name |train|validation|test|
|
66 |
|---------|----:|---:|---:|
|
67 |
-
|Vitamins and Supplements Reviews|
|
68 |
|
69 |
|
70 |
|
|
|
38 |
|
39 |
|
40 |
### Dataset Instances
|
41 |
+
The dataset includes 1,052 products of 262 distinct brands with 228K customer reviews. During the compilation, we eliminated reviews containing person names such as customer's name and influencer names
|
42 |
Each dataset instance contains
|
43 |
|
44 |
- product name
|
|
|
64 |
|
65 |
| name |train|validation|test|
|
66 |
|---------|----:|---:|---:|
|
67 |
+
|Vitamins and Supplements Reviews|198590|20000|20000|
|
68 |
|
69 |
|
70 |
|