task_categories:question-answering task_ids:closed-domain-qa annotations_creators:no-annotation language_creators:crowdsourced multilinguality:monolingual size_categories:10K<n<100K source_datasets:sciq language:ja license:cc-by-nc-3.0 region:us
---
annotations_creators:
  - no-annotation
language_creators:
  - crowdsourced
language:
  - ja
license:
  - cc-by-nc-3.0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - sciq
task_categories:
  - question-answering
task_ids:
  - closed-domain-qa
paperswithcode_id: sciq
pretty_name: SciQ-ja
dataset_info:
  features:
  - name: question
    dtype: string
  - name: distractor3
    dtype: string
  - name: distractor1
    dtype: string
  - name: distractor2
    dtype: string
  - name: correct_answer
    dtype: string
  - name: support
    dtype: string
  splits:
  - name: test
    num_bytes: 603074
    num_examples: 1000
  - name: train
    num_bytes: 6996445
    num_examples: 11679
  - name: validation
    num_bytes: 600296
    num_examples: 1000
  download_size: 4523396
  dataset_size: 8199815
---
# Dataset Card for "sciq-ja-mbartm2m"

## Dataset Description

This is the Japanese Translation version of [sciq](https://huggingface.co/datasets/sciq).
The translator used in it was [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt).

## License

The same as the original sciq (cc-by-nc-3.0).

