---
license: cc-by-sa-4.0
language:
- fi
task_categories:
- text-classification
- question-answering
- text-generation
dataset_info:
  features:
  - name: id
    dtype: string
  - name: title
    dtype: string
  - name: context
    dtype: string
  - name: question
    dtype: string
  - name: answers
    sequence:
    - name: text
      dtype: string
    - name: answer_start
      dtype: int32
  splits:
  - name: train
    num_bytes: 123795424
    num_examples: 128186
  - name: validation
    num_bytes: 12424029
    num_examples: 11789
  download_size: 19275230
  dataset_size: 136219453
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
---

### Dataset Summary

This is a Finnish SQuAD question answering dataset used in [FIN-bench-v2: A Unified and Robust Benchmark Suite for Evaluating Finnish Large Language Models](https://huggingface.co/papers/2512.13330). It is a DeepL-based machine translation of the English SQuAD2.0 dataset which combines the 100,000 questions in 
SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ones. 
To do well on SQuAD2.0, systems must not only answer questions when possible, but also determine when no answer is supported 
by the paragraph and abstain from answering.

Project page: https://huggingface.co/TurkuNLP
Code: https://github.com/LumiOpen/lm-evaluation-harness

### Considerations for Using the Data

Due to DeepL terms and conditions, this dataset **must not be used for any machine translation work**, namely machine translation 
system development and evaluation of any kind. In general, we wish you do not pair the original English data with the translations 
except when working on research unrelated to machine translation, so as not to infringe on the terms and conditions.