Create README.md

# ScandiSent
Sentiment Corpus for Swedish 🇸🇪 Norwegian 🇳🇴 Danish 🇩🇰 Finnish 🇫🇮 (and English 🏴󠁧󠁢󠁥󠁮󠁧󠁿)

## Information
The corpus is crawled from [se.trustpilot.com](https://se.trustpilot.com/), [no.trustpilot.com](https://no.trustpilot.com/), [dk.trustpilot.com](https://dk.trustpilot.com/), [fi.trustpilot.com](https://fi.trustpilot.com/) and [trustpilot.com](https://trustpilot.com/).
It consists of reviews from all the 22 corresponding categories:

```javascript
categories = ['animals_pets', 'electronics_technology', 'events_entertainment', 'vehicles_transportation',
'business_services', 'health_medical', 'home_garden', 'hobbies_crafts', 'home_services',
'legal_services_government', 'construction_manufactoring', 'food_beverages_tobacco', 'media_publishing',
'money_insurance', 'travel_vacation', 'restaurants_bars', 'public_local_services', 'shopping_fashion',
'education_training', 'beauty_wellbeing', 'sports', 'housing_utility_company']
```

The size for each language is 10 000 texts evenly balanced between positive and negative reviews. A positive review is considered as a text with the rating `4 or 5`, and a negative review is rated as `1 or 2`. The texts rated as `3` were not used. The zip files consist of csv files for each language with the columns `text` and `label`, were `label` == `1` is a positive review and `label` == `0`is a negative review.

For our paper: [Should we Stop Training More Monolingual Models, and Simply Use Machine Translation Instead?](https://arxiv.org/pdf/2104.10441.pdf) we used the first 7500 texts for training and the last 2500 texts for evaluating.

#### [ScandiSent.zip]([ScandiSent.zip]) 🇸🇪 🇳🇴 🇩🇰 🇫🇮 + 🏴󠁧󠁢󠁥󠁮󠁧󠁿
Is the raw data for each language where we used [fastText](https://fasttext.cc/docs/en/language-identification.html) language identification to ensure that the texts were of the right language.

#### [ScandiSent-mt.zip](ScandiSent-mt.zip) 🏴󠁧󠁢󠁥󠁮󠁧󠁿
Consists of the raw data from `ScandiSent` machine translated to English 🏴󠁧󠁢󠁥󠁮󠁧󠁿 using Googles Neural Machine Translation API.

## Version 1.0
2021-02-06

README.md

@@ -0,0 +1,111 @@
+---
+license: openrail
+task_categories:
+- text-classification
+language:
+- sv
+- 'no'
+- da
+- en
+- fi
+pretty_name: ScandiSen
+size_categories:
+- 1K<n<10K
+---
+# Dataset Card for Dataset Name
+
+## Dataset Description
+
+- **Homepage:** 
+- **Repository:** 
+- **Paper:** 
+- **Leaderboard:** 
+- **Point of Contact:** 
+
+### Dataset Summary
+
+This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+[More Information Needed]