Italian version of the HellaSwag Dataset

The dataset has been automatically translate by using Argos Translate v. 1.9.1

Citation Information

@misc{basile2023llamantino,
      title={LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language}, 
      author={Pierpaolo Basile and Elio Musacchio and Marco Polignano and Lucia Siciliani and Giuseppe Fiameni and Giovanni Semeraro},
      year={2023},
      eprint={2312.09993},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@inproceedings{zellers2019hellaswag,
    title={HellaSwag: Can a Machine Really Finish Your Sentence?},
    author={Zellers, Rowan and Holtzman, Ari and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},
    booktitle ={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
    year={2019}
}

Original English version of the "hellaswag" dataset

Table of Contents

• Dataset Description
  • Dataset Summary
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Additional Information
  • Licensing Information

Dataset Description

• Homepage: https://rowanzellers.com/hellaswag/
• Repository: https://github.com/rowanz/hellaswag/
• Paper: HellaSwag: Can a Machine Really Finish Your Sentence?
• Size of downloaded dataset files: 71.49 MB
• Size of the generated dataset: 65.32 MB
• Total amount of disk used: 136.81 MB

Dataset Summary

HellaSwag: Can a Machine Really Finish Your Sentence? is a new dataset for commonsense NLI. A paper was published at ACL2019.

Languages

EN - ITA

Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 71.49 MB
• Size of the generated dataset: 65.32 MB
• Total amount of disk used: 136.81 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "activity_label": "Removing ice from car",
    "ctx": "Then, the man writes over the snow covering the window of a car, and a woman wearing winter clothes smiles. then",
    "ctx_a": "Then, the man writes over the snow covering the window of a car, and a woman wearing winter clothes smiles.",
    "ctx_b": "then",
    "endings": "[\", the man adds wax to the windshield and cuts it.\", \", a person board a ski lift, while two men supporting the head of the per...",
    "ind": 4,
    "label": "3",
    "source_id": "activitynet~v_-1IBHYS3L-Y",
    "split": "train",
    "split_type": "indomain"
}

Data Fields

The data fields are the same among all splits.

default

• ind: a int32 feature.
• activity_label: a string feature.
• ctx_a: a string feature.
• ctx_b: a string feature.
• ctx: a string feature.
• endings: a list of string features.
• source_id: a string feature.
• split: a string feature.
• split_type: a string feature.
• label: a string feature.

Data Splits

name	train	validation	test
default	39905	10042	10003

Licensing Information

MIT https://github.com/rowanz/hellaswag/blob/master/LICENSE

Contributions

Thanks to @albertvillanova, @mariamabarham, @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.