References:
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:allegro_reviews')
- Description:
Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted
from Allegro.pl - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale
from one (negative review) to five (positive review).
We recommend using the provided train/dev/test split. The ratings for the test set reviews are kept hidden.
You can evaluate your model using the online evaluation tool available on klejbenchmark.com.
- License: CC BY-SA 4.0
- Version: 1.1.0
- Splits:
| Split | Examples |
|---|---|
'test' |
1006 |
'train' |
9577 |
'validation' |
1002 |
- Features:
{
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"rating": {
"dtype": "float32",
"id": null,
"_type": "Value"
}
}