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---
dataset_info:
features:
- name: idx
dtype: int64
- name: sentence
dtype: string
- name: label
dtype: int64
- name: sentence_nob
dtype: string
splits:
- name: train
num_bytes: 8811984
num_examples: 67349
download_size: 5800043
dataset_size: 8811984
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- 'no'
- en
size_categories:
- 10K<n<100K
task_categories:
- text-classification
---
# Norwegian Translated SST-2 Dataset
## Dataset
### Overview
The dataset is a Norwegian machine-translation of the [Stanford Sentiment Treebank](https://huggingface.co/datasets/sst2) (SST-2). The original dataset comprises sentences extracted from movie reviews, accompanied by human annotations indicating their sentiment.
### Dataset Structure
The dataset has the following structure:
```json
{
"idx": int,
"sentence": str,
"label": int,
"sentence_nob": str
}
```
### Data Fields
- `idx`: Monotonically increasing index ID.
- `sentence`: Complete sentence expressing an opinion about a film.
- `label`: Sentiment of the opinion, either "negative" (0) or positive (1). The test set labels are hidden (-1).
- `sentence_nob`: Norwegian translation of the sentence.