Datasets:
Update README.md
Browse files
README.md
CHANGED
@@ -17,6 +17,11 @@ configs:
|
|
17 |
data_files:
|
18 |
- split: train
|
19 |
path: data/train-*
|
|
|
|
|
|
|
|
|
|
|
20 |
---
|
21 |
|
22 |
# Sentiment Analysis (Portuguese) dataset
|
@@ -24,3 +29,36 @@ configs:
|
|
24 |
This dataset is a concatenation of the [`IMDB 50K`](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews?select=IMDB+Dataset.csv), the [`Twitter US Airline Sentiment`](https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment), App Reviews scraped from [Google Play](https://github.com/Nkluge-correa/teeny-tiny_castle/blob/master/ML%20Explainability/NLP%20Interpreter/text_scraping.ipynb), and the [`EcoPreprocessed`](https://www.kaggle.com/datasets/pradeeshprabhakar/preprocessed-dataset-sentiment-analysis).
|
25 |
|
26 |
- **Note:** Samples were translated via the Google Translate API.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
17 |
data_files:
|
18 |
- split: train
|
19 |
path: data/train-*
|
20 |
+
language:
|
21 |
+
- pt
|
22 |
+
pretty_name: sentiment-analysis-pt
|
23 |
+
size_categories:
|
24 |
+
- 10K<n<100K
|
25 |
---
|
26 |
|
27 |
# Sentiment Analysis (Portuguese) dataset
|
|
|
29 |
This dataset is a concatenation of the [`IMDB 50K`](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews?select=IMDB+Dataset.csv), the [`Twitter US Airline Sentiment`](https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment), App Reviews scraped from [Google Play](https://github.com/Nkluge-correa/teeny-tiny_castle/blob/master/ML%20Explainability/NLP%20Interpreter/text_scraping.ipynb), and the [`EcoPreprocessed`](https://www.kaggle.com/datasets/pradeeshprabhakar/preprocessed-dataset-sentiment-analysis).
|
30 |
|
31 |
- **Note:** Samples were translated via the Google Translate API.
|
32 |
+
|
33 |
+
# Sentiment Analysis dataset
|
34 |
+
|
35 |
+
This dataset is a concatenation of the [`IMDB 50K`](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews?select=IMDB+Dataset.csv), the [`Twitter US Airline Sentiment`](https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment), App Reviews scraped from [Google Play](https://github.com/Nkluge-correa/teeny-tiny_castle/blob/master/ML%20Explainability/NLP%20Interpreter/text_scraping.ipynb), and the [`EcoPreprocessed`](https://www.kaggle.com/datasets/pradeeshprabhakar/preprocessed-dataset-sentiment-analysis).
|
36 |
+
|
37 |
+
## Overview
|
38 |
+
|
39 |
+
|
40 |
+
## Dataset Details
|
41 |
+
|
42 |
+
|
43 |
+
|
44 |
+
**Citation:**
|
45 |
+
```latex
|
46 |
+
|
47 |
+
```
|
48 |
+
## Contents
|
49 |
+
|
50 |
+
The dataset consists of a data frame with the following columns:
|
51 |
+
|
52 |
+
|
53 |
+
## How to use
|
54 |
+
|
55 |
+
```python
|
56 |
+
from datasets import load_dataset
|
57 |
+
|
58 |
+
dataset = load_dataset("AiresPucrs/sentiment-analysis-pt", split='train')
|
59 |
+
|
60 |
+
```
|
61 |
+
|
62 |
+
## License
|
63 |
+
|
64 |
+
This dataset is licensed under the Apache License 2.0.
|