---
dataset_info:
  features:
  - name: instruction
    dtype: string
  - name: response
    dtype: string
  splits:
  - name: train
    num_bytes: 131141
    num_examples: 410
  download_size: 78634
  dataset_size: 131141
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc-by-sa-4.0
task_categories:
- text-generation
language:
- fi
tags:
- SFT
---

# Dataset Card for Finnish-NLP/ai2arc-deepl-translated-sft

## Creation process
 - Load data from allenai/ai2_arc translated with deepl
 - Do zero shot classification with facebook/bart-large-mnli with the following prompt:
```python
preds =  pipe(f'{row["input"]} is a question about:', candidate_labels=["USA related question", "Math related question", "General question", "Coding related question"])
```
- Filter out rows with too high scores in following categories ["USA related question", "Math related question","Coding related question"]
- Write rows to .txt file with *** on a newline separating instruction/response and then END on a newline separating samples
- Upload file to deepl.com for file translation --> parse samples back from translated files --> Maybe some additional cleaning/filtering based on fasttext langdetect / kenlm perplexity