Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
Korean
Size:
100K<n<1M
License:
add dataset_info in dataset metadata
Browse files
README.md
CHANGED
|
@@ -19,6 +19,27 @@ task_ids:
|
|
| 19 |
- sentiment-classification
|
| 20 |
paperswithcode_id: nsmc
|
| 21 |
pretty_name: Naver Sentiment Movie Corpus
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
---
|
| 23 |
|
| 24 |
# Dataset Card for Naver sentiment movie corpus
|
|
@@ -152,4 +173,4 @@ Each instance is a movie review written by Korean internet users on Naver, the m
|
|
| 152 |
|
| 153 |
### Contributions
|
| 154 |
|
| 155 |
-
Thanks to [@jaketae](https://github.com/jaketae) for adding this dataset.
|
|
|
|
| 19 |
- sentiment-classification
|
| 20 |
paperswithcode_id: nsmc
|
| 21 |
pretty_name: Naver Sentiment Movie Corpus
|
| 22 |
+
dataset_info:
|
| 23 |
+
features:
|
| 24 |
+
- name: id
|
| 25 |
+
dtype: string
|
| 26 |
+
- name: document
|
| 27 |
+
dtype: string
|
| 28 |
+
- name: label
|
| 29 |
+
dtype:
|
| 30 |
+
class_label:
|
| 31 |
+
names:
|
| 32 |
+
0: negative
|
| 33 |
+
1: positive
|
| 34 |
+
splits:
|
| 35 |
+
- name: test
|
| 36 |
+
num_bytes: 5491417
|
| 37 |
+
num_examples: 50000
|
| 38 |
+
- name: train
|
| 39 |
+
num_bytes: 16423803
|
| 40 |
+
num_examples: 150000
|
| 41 |
+
download_size: 19522142
|
| 42 |
+
dataset_size: 21915220
|
| 43 |
---
|
| 44 |
|
| 45 |
# Dataset Card for Naver sentiment movie corpus
|
|
|
|
| 173 |
|
| 174 |
### Contributions
|
| 175 |
|
| 176 |
+
Thanks to [@jaketae](https://github.com/jaketae) for adding this dataset.
|