paper-artifacts / tasks /sources /basic_arithmetic.py
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"""Basic arithmetic task with simple addition/subtraction/multiplication/division."""
from typing import Dict, List, Any
import re
from tasks.base_task import BaseTask, TaskConfig
class BasicArithmeticTask(BaseTask):
"""Task for basic arithmetic operations."""
TASK_NAME = "basic_arithmetic" # Auto-discovery key
def __init__(self, config: TaskConfig):
super().__init__(config)
def _load_data(self):
"""Load arithmetic problems - uses in-memory data if provided, otherwise defaults."""
import pandas as pd
if self.config.in_memory_data:
self.data = pd.DataFrame(self.config.in_memory_data)
return
# Default arithmetic problems
default_problems = [
{"question": "What is 5 + 3?", "answer": "8"},
{"question": "What is 12 - 7?", "answer": "5"},
{"question": "What is 4 × 6?", "answer": "24"},
{"question": "What is 15 ÷ 3?", "answer": "5"},
{"question": "What is 2 + 2?", "answer": "4"},
{"question": "What is 10 - 4?", "answer": "6"},
{"question": "What is 3 × 7?", "answer": "21"},
{"question": "What is 20 ÷ 4?", "answer": "5"},
{"question": "What is 8 + 9?", "answer": "17"},
{"question": "What is 25 - 13?", "answer": "12"}
]
self.data = pd.DataFrame(default_problems)
def get_split(self, split: str = "test") -> List[Dict[str, Any]]:
# Convert DataFrame to list of dictionaries for iteration
if hasattr(self.data, 'to_dict'):
return self.data.to_dict('records')
return self.data
def build_prompt(self, instance: Dict[str, Any], num_shots: int = 5) -> str:
"""Build prompt for arithmetic problems with optional ICL examples.
Args:
instance: The instance to build a prompt for
num_shots: Number of in-context learning examples (default: 5)
Returns:
Formatted prompt string
"""
prompt = ""
# Add ICL examples if requested and we have demonstrations
if num_shots > 0 and self.demonstrations:
# Use the first num_shots demonstrations
prompt += ""
for demo in self.demonstrations[:num_shots]:
prompt += f"{demo}\n"
prompt += "\n"
# Add instruction and current problem
question = instance[self.config.input_column]
prompt += f"Input: {question}\Output:"
return prompt
def evaluate(self, predictions: List[str], split: str = "test", **kwargs) -> Dict[str, float]:
"""Evaluate arithmetic predictions by extracting numbers."""
data = self.get_split(split)
if len(predictions) != len(data):
return {
'accuracy': 0.0,
'error': f'Prediction count ({len(predictions)}) does not match data count ({len(data)})'
}
correct = 0
total = len(predictions)
detailed_results = []
for pred, example in zip(predictions, data):
expected = example[self.config.output_column]
# Extract number from prediction (handle various formats)
pred_number = self._extract_number(pred)
expected_number = self._extract_number(expected)
is_correct = pred_number is not None and pred_number == expected_number
if is_correct:
correct += 1
detailed_results.append({
'question': example[self.config.input_column],
'prediction': pred.strip(),
'expected': expected,
'pred_number': pred_number,
'expected_number': expected_number,
'correct': is_correct
})
return {
'accuracy': correct / total if total > 0 else 0.0,
'correct': correct,
'total': total,
'detailed_results': detailed_results
}
def _extract_number(self, text: str) -> float:
"""Extract the first number from text."""
if not text:
return None
# Try to find integers or floats in the text
numbers = re.findall(r'-?\d+\.?\d*', str(text).strip())
if numbers:
try:
return float(numbers[0])
except ValueError:
return None
return None
def create_basic_arithmetic_task(
problems: List[Dict[str, str]] = None,
name: str = "basic_arithmetic"
) -> BasicArithmeticTask:
"""Create a BasicArithmeticTask instance."""
# Define static demonstrations (separate from test set)
demonstrations = [
"Input: What is 7 + 5?\nOutput: 12",
"Input: What is 18 - 9?\nOutput: 9",
"Input: What is 6 - 4?\nOutput: 2",
"Input: What is 16 + 2?\nOutput: 18",
"Input: What is 11 + 3?\nOutput: 14",
]
config = TaskConfig(
name=name,
description="Basic arithmetic evaluation task",
data_format="memory",
in_memory_data=problems, # Use provided problems or None for defaults
in_memory_demonstrations=demonstrations, # Static ICL examples
input_column="question",
output_column="answer",
evaluation_metrics=["accuracy"],
metadata={"task_type": "arithmetic"}
)
return BasicArithmeticTask(config)