SIQA#

Overview#

SIQA (Social Interaction QA) is a benchmark for evaluating social commonsense intelligence - understanding people’s actions and their social implications. Unlike benchmarks focusing on physical knowledge, SIQA tests reasoning about human behavior.

Task Description#

  • Task Type: Social Commonsense Reasoning

  • Input: Context about a social situation with question and 3 answer choices

  • Output: Most socially appropriate answer (A, B, or C)

  • Focus: Human behavior, motivations, and social implications

Key Features#

  • Tests social intelligence and emotional understanding

  • Questions about people’s actions and their consequences

  • Covers motivations, reactions, and social norms

  • 33K+ crowdsourced QA pairs

  • Requires reasoning about human psychology

Evaluation Notes#

  • Default configuration uses 0-shot evaluation

  • Uses simple multiple-choice prompting

  • Evaluates on validation split

  • Simple accuracy metric

Properties#

Property

Value

Benchmark Name

siqa

Dataset ID

extraordinarylab/siqa

Paper

N/A

Tags

Commonsense, MCQ, Reasoning

Metrics

acc

Default Shots

0-shot

Evaluation Split

validation

Data Statistics#

Metric

Value

Total Samples

1,954

Prompt Length (Mean)

289.05 chars

Prompt Length (Min/Max)

242 / 509 chars

Sample Example#

Subset: default

{
  "input": [
    {
      "id": "8d09aab2",
      "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.\n\nWhat does Tracy need to do before this?\n\nA) make a new plan\nB) Go home and see Riley\nC) Find somewhere to go"
    }
  ],
  "choices": [
    "make a new plan",
    "Go home and see Riley",
    "Find somewhere to go"
  ],
  "target": "C",
  "id": 0,
  "group_id": 0,
  "metadata": {}
}

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 siqa \
    --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=['siqa'],
    limit=10,  # Remove this line for formal evaluation
)

run_task(task_cfg=task_cfg)