HellaSwag

Overview

HellaSwag is a benchmark for evaluating commonsense natural language inference, specifically testing a model's ability to complete sentences describing everyday situations. The dataset uses adversarial filtering to create challenging distractors that are grammatically correct but semantically implausible.

Task Description

Task Type: Multiple-Choice Sentence Completion
Input: Context describing an activity or situation
Output: Most plausible continuation from 4 choices (A, B, C, D)
Domain: Everyday activities and commonsense scenarios

Key Features

70,000+ questions testing grounded commonsense inference
Contexts derived from ActivityNet and WikiHow
Adversarially-filtered incorrect endings
Requires understanding of typical event sequences
Tests physical and social commonsense reasoning

Evaluation Notes

Default configuration uses 0-shot evaluation
Evaluates on the validation split
Endings are preprocessed to clean formatting artifacts
Context combines ctx_a and ctx_b fields
Activity labels available in metadata for analysis

Properties

Property	Value
Benchmark Name	`hellaswag`
Dataset ID	evalscope/hellaswag
Paper	N/A
Tags	`Commonsense`, `Knowledge`, `MCQ`
Metrics	`acc`
Default Shots	0-shot
Evaluation Split	`validation`

Data Statistics

Metric	Value
Total Samples	10,042
Prompt Length (Mean)	767.6 chars
Prompt Length (Min/Max)	329 / 1655 chars

Sample Example

Subset: default

{
  "input": [
    {
      "id": "18df47e2",
      "content": "Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: [LETTER]' (without quotes) where [LETTER] is one of A,B,C,D.\n\nA man is sitting on a roof. He\n\nA) is using wrap to wrap a pair of skis.\nB) is ripping level tiles off.\nC) is holding a rubik's cube.\nD) starts pulling up roofing on a roof."
    }
  ],
  "choices": [
    "is using wrap to wrap a pair of skis.",
    "is ripping level tiles off.",
    "is holding a rubik's cube.",
    "starts pulling up roofing on a roof."
  ],
  "target": "D",
  "id": 0,
  "group_id": 0,
  "metadata": {
    "activity_label": "Roof shingle removal"
  }
}

Prompt Template

Prompt Template:

Answer the following multiple choice question. The entire content of your response should be of the following format: 'ANSWER: [LETTER]' (without quotes) where [LETTER] is one of {letters}.

{question}

{choices}

Usage

Using CLI

evalscope eval \
    --model YOUR_MODEL \
    --api-url OPENAI_API_COMPAT_URL \
    --api-key EMPTY_TOKEN \
    --datasets hellaswag \
    --limit 10  # Remove this line for formal evaluation

Using Python

from evalscope import run_task
from evalscope.config import TaskConfig

task_cfg = TaskConfig(
    model='YOUR_MODEL',
    api_url='OPENAI_API_COMPAT_URL',
    api_key='EMPTY_TOKEN',
    datasets=['hellaswag'],
    limit=10,  # Remove this line for formal evaluation
)

run_task(task_cfg=task_cfg)

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