task_categories:question-answering task_ids:multiple-choice-qa language:ca language:es language:en language:hi language:id language:it language:ml language:mr language:ru language:zh license:cc-by-nc-4.0 size_categories:1K<n<10K format:json modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
configs:
- config_name: ca
  data_files:
  - split: val
    path: data/ca/val.jsonl
- config_name: es
  data_files:
  - split: val
    path: data/es/val.jsonl
- config_name: en
  data_files:
  - split: val
    path: data/en/val.jsonl
- config_name: hi
  data_files:
  - split: val
    path: data/hi/val.jsonl
- config_name: id
  data_files:
  - split: val
    path: data/id/val.jsonl
- config_name: it
  data_files:
  - split: val
    path: data/it/val.jsonl
- config_name: ml
  data_files:
  - split: val
    path: data/ml/val.jsonl
- config_name: mr
  data_files:
  - split: val
    path: data/mr/val.jsonl
- config_name: ru
  data_files:
  - split: val
    path: data/ru/val.jsonl
- config_name: zh
  data_files:
  - split: val
    path: data/zh/val.jsonl
license: cc-by-nc-4.0
task_categories:
- question-answering
task_ids:
- multiple-choice-qa
size_categories:
- 10K<n<100K
language:
- ca
- es
- en
- hi
- id
- it
- ml
- mr
- ru
- zh
---
# Multilingual HellaSwag
## Dataset Summary
This dataset is a machine translated version of the [TruthfulQA dataset](https://huggingface.co/datasets/truthful_qa).

The languages was translated using GPT-3.5-turbo by the University of Oregon, and this part of the dataset was originally uploaded to [this Github repository](https://github.com/nlp-uoregon/mlmm-evaluation).

The NUS Deep Learning Lab contributed to this effort by standardizing the dataset, ensuring consistent question formatting and alignment across all languages. This standardization enhances cross-linguistic comparability and facilitates robust multilingual evaluation.