Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Russian
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,6 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
Some movie reviews from Kinopoisk (TOP250 & BOTTOM100 rank lists).
|
| 2 |
|
| 3 |
-
|
| 4 |
```python3
|
| 5 |
import pandas as pd
|
| 6 |
df = pd.read_json('kinopoisk.jsonl', lines=True)
|
|
|
|
| 1 |
+
---
|
| 2 |
+
languages:
|
| 3 |
+
- ru
|
| 4 |
+
multilinguality:
|
| 5 |
+
- monolingual
|
| 6 |
+
pretty_name: Kinopoisk
|
| 7 |
+
size_categories:
|
| 8 |
+
- 10K<n<100K
|
| 9 |
+
task_categories:
|
| 10 |
+
- sentiment-classification
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
Some movie reviews from Kinopoisk (TOP250 & BOTTOM100 rank lists).
|
| 14 |
|
| 15 |
+
With python load like:
|
| 16 |
```python3
|
| 17 |
import pandas as pd
|
| 18 |
df = pd.read_json('kinopoisk.jsonl', lines=True)
|