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Andreas Koepf
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2 changed files with 0 additions and 223 deletions
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"""Word unscrambling task generator"""
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import re
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from dataclasses import dataclass
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from random import Random
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from typing import List, Optional
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from reasoning_gym.data import read_data_file
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from ..factory import ProceduralDataset, register_dataset
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@dataclass
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class UnscrambleWordsConfig:
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"""Configuration for word unscrambling task generation"""
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min_word_len: int = 4 # Minimum word length
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max_word_len: int = 64 # Maximum word length
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min_words: int = 3 # Minimum words per task
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max_words: int = 20 # Maximum words per task
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min_corruption_level: float = 0.1 # Minimum fraction of characters to swap
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max_corruption_level: float = 0.9 # Maximum fraction of characters to swap
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consecutive_words: bool = True # Whether to select consecutive words from text
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seed: Optional[int] = None
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size: int = 500 # Virtual dataset size
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def validate(self) -> None:
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"""Validate configuration parameters"""
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assert self.min_word_len > 0, "min_word_len must be positive"
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assert self.max_word_len >= self.min_word_len, "max_word_len must be >= min_word_len"
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assert self.min_words > 0, "min_words must be positive"
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assert self.max_words >= self.min_words, "max_words must be >= min_words"
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assert 0 <= self.min_corruption_level <= 1, "min_corruption_level must be in [0,1]"
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assert 0 <= self.max_corruption_level <= 1, "max_corruption_level must be in [0,1]"
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assert self.max_corruption_level >= self.min_corruption_level, "max_corruption_level must be >= min_corruption_level"
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class UnscrambleWordsDataset(ProceduralDataset):
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"""Generates word unscrambling tasks"""
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def __init__(self, config: UnscrambleWordsConfig):
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super().__init__(config=config, seed=config.seed, size=config.size)
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# Load and preprocess text
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text = read_data_file("in_the_year_2889.txt")
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# Extract words and filter by length
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self.words = [
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word for word in re.findall(r"\b\w+\b", text)
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if self.config.min_word_len <= len(word) <= self.config.max_word_len
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and word.isalpha()
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]
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def _scramble_word(self, word: str, corruption_level: float, rng: Random) -> str:
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"""Scramble a word by swapping random pairs of characters"""
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if len(word) < 2: # Can't scramble 1-character words
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return word
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word = list(word)
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num_swaps = max(1, int(len(word) * corruption_level)) # Ensure at least one swap
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for _ in range(num_swaps):
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# Pick two different random positions
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pos1, pos2 = rng.sample(range(len(word)), 2)
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# Swap characters
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word[pos1], word[pos2] = word[pos2], word[pos1]
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return "".join(word)
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def __getitem__(self, idx: int) -> dict:
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"""Generate a single word unscrambling task"""
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rng = Random(self.seed + idx)
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# Select number of words and corruption level
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num_words = rng.randint(self.config.min_words, self.config.max_words)
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corruption_level = rng.uniform(self.config.min_corruption_level, self.config.max_corruption_level)
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# Select words based on configuration
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if self.config.consecutive_words:
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# Select consecutive words from a random starting position
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start_idx = rng.randint(0, len(self.words) - num_words)
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selected_words = self.words[start_idx:start_idx + num_words]
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else:
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# Select random words
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selected_words = rng.sample(self.words, num_words)
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# Scramble each word
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scrambled_words = [
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self._scramble_word(word, corruption_level, rng)
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for word in selected_words
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]
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return {
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"question": f"Unscramble these words: {' '.join(scrambled_words)}",
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"answer": " ".join(selected_words),
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"metadata": {
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"num_words": num_words,
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"corruption_level": corruption_level,
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"scrambled_words": scrambled_words,
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"original_words": selected_words
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}
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}
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register_dataset("unscramble_words", UnscrambleWordsDataset, UnscrambleWordsConfig)
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"""Tests for word unscrambling task generation"""
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import pytest
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from random import Random
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from reasoning_gym.algorithmic.unscramble_words import UnscrambleWordsConfig, UnscrambleWordsDataset
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def test_unscramble_words_config_validation():
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"""Test that invalid configs raise appropriate errors"""
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with pytest.raises(AssertionError):
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config = UnscrambleWordsConfig(min_word_len=0)
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config.validate()
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with pytest.raises(AssertionError):
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config = UnscrambleWordsConfig(min_words=10, max_words=5)
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config.validate()
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with pytest.raises(AssertionError):
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config = UnscrambleWordsConfig(min_corruption_level=-0.1)
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config.validate()
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with pytest.raises(AssertionError):
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config = UnscrambleWordsConfig(max_corruption_level=1.1)
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config.validate()
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def test_unscramble_words_deterministic():
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"""Test that dataset generates same items with same seed"""
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config = UnscrambleWordsConfig(seed=42, size=10)
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dataset1 = UnscrambleWordsDataset(config)
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dataset2 = UnscrambleWordsDataset(config)
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for i in range(len(dataset1)):
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assert dataset1[i] == dataset2[i]
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def test_unscramble_words_scrambling():
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"""Test the word scrambling logic"""
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config = UnscrambleWordsConfig(
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min_word_len=4,
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max_word_len=8,
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min_words=1,
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max_words=1,
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min_corruption_level=0.5,
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max_corruption_level=0.5,
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size=1,
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seed=42
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)
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dataset = UnscrambleWordsDataset(config)
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# Test with known word
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word = "testing"
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rng = Random(42)
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scrambled = dataset._scramble_word(word, 0.5, rng)
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# Verify scrambled word:
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# - Has same length as original
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assert len(scrambled) == len(word)
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# - Contains same characters
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assert sorted(scrambled) == sorted(word)
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# - Is different from original (with high probability given 0.5 corruption)
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assert scrambled != word
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def test_unscramble_words_dataset_items():
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"""Test basic properties of generated items"""
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config = UnscrambleWordsConfig(
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min_word_len=4,
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max_word_len=8,
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min_words=3,
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max_words=5,
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min_corruption_level=0.1,
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max_corruption_level=0.3,
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size=50,
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seed=42
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)
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dataset = UnscrambleWordsDataset(config)
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for i in range(len(dataset)):
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item = dataset[i]
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# Check item structure
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assert isinstance(item, dict)
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assert "question" in item
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assert "answer" in item
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assert "metadata" in item
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# Check metadata
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metadata = item["metadata"]
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assert "num_words" in metadata
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assert "corruption_level" in metadata
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assert "scrambled_words" in metadata
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assert "original_words" in metadata
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# Verify word counts
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num_words = metadata["num_words"]
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assert config.min_words <= num_words <= config.max_words
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assert len(metadata["scrambled_words"]) == num_words
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assert len(metadata["original_words"]) == num_words
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# Verify corruption level
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assert config.min_corruption_level <= metadata["corruption_level"] <= config.max_corruption_level
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# Verify word properties
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for word in metadata["original_words"]:
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assert config.min_word_len <= len(word) <= config.max_word_len
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assert word.isalpha()
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def test_unscramble_words_iteration():
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"""Test that iteration respects dataset size"""
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config = UnscrambleWordsConfig(size=5, seed=42)
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dataset = UnscrambleWordsDataset(config)
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items = list(dataset)
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assert len(items) == config.size
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# Test multiple iterations yield same items
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assert items == list(dataset)
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