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HellaSwag Dataset


HellaSwag Dataset - Papers With Code

HellaSwag is a challenge dataset for evaluating commonsense NLI that is specially hard for state-of-the-art models, though its questions are trivial for ...

Rowan/hellaswag · Datasets at Hugging Face

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

HellaSwag: Can a Machine Really Finish Your Sentence? (ACL 2019)

Announcing HellaSwag, a new dataset for commonsense NLI. Questions like the above are trivial to humans, with over 95% accuracy, but current state-of-the ...

HellaSwag: Can a Machine Really Finish Your Sentence? - arXiv

... HellaSwag, a new challenge dataset. Though its questions are trivial for humans (>95% accuracy), state-of-the-art models struggle (<48%). We ...

HellaSwag: Can a Machine Really Finish Your Sentence?

The construction of HellaSwag, a new challenge dataset, and its resulting difficulty, sheds light on the inner workings of deep pretrained models, ...

HellaSwag: Can a Machine _Really_ Finish Your Sentence? - GitHub

The HellaSwag dataset, in data/; Code for Adversarial Filtering, in adversarial_filtering/; Models for HellaSwag, in hellaswag_models/. Getting the environment ...

HellaSwag (Commonsense NLI) - Kaggle

About this dataset. HellaSwag is a dataset that tests a machine's ability to complete sentences in a way that makes sense. The dataset contains over 10,000 ...

HellaSwag: Can a Machine Really Finish Your Sentence?

In this paper, we show that commonsense in- ference still proves difficult for even state- of-the-art models, by presenting HellaSwag, a new challenge dataset.

Getting Started — HellaSwag - Leaderboards

Next, create a submission and evaluate your model for the HellaSwag dataset. To protect against overfitting on the blind test dataset you can only publish once ...

hellaswag | TensorFlow Datasets

hellaswag ... The HellaSwag dataset is a benchmark for Commonsense NLI. It includes a context and some endings which complete the context.

HellaSwag: Understanding the LLM Benchmark for Commonsense ...

In 2019, Zellers et al. designed the HellaSwag dataset to test commonsense natural language inference (NLI) about physical situations. When ...

HellaSwag or HellaBad? 36% of this popular LLM benchmark ...

To be clear, we love that Google's creating an interesting benchmark dataset! AGI should be able to solve these tasks too. But for companies interested in ...

ycsong-eugene/syc-hellaswag2 · Datasets at Hugging Face

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

HellaSwag Benchmark (Sentence Completion) - Papers With Code

Sentence Completion on HellaSwag. Leaderboard; Dataset. View.

HellaSwag Dataset - NLP Hub - Metatext.AI

Metatext empowers enterprises to proactively identify and mitigate generative AI vulnerabilities, providing real-time protection against potential attacks ...

HellaSwag: Can a Machine Really Finish Your Sentence? - ar5iv

When the SWAG dataset was first announced Zellers et al. (2018) , this new task of commonsense natural language inference seemed trivial for humans (88%) and ...

36% of HellaSwag benchmark contains errors [D] : r/MachineLearning

... HellaSwag and found 36% contains errors. For example, here's a prompt and set of possible completions from the dataset. Which completion do ...

Performance of the models on the translated HellaSwag dataset over...

Download scientific diagram | Performance of the models on the translated HellaSwag dataset over different languages in Okapi. LLaMA 7B is used as the base ...

HellaSwag | DeepEval - The Open-Source LLM Evaluation Framework

HellaSwag is a benchmark designed to ... Hellaswag GitHub page ... Datasets · Synthesizer · Red-Teaming · Metrics.

The HellaSWAG benchmark is a dataset designed to evaluate ...

The HellaSWAG benchmark is a dataset designed to evaluate advanced natural language understanding and common sense reasoning in AI models, ...