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103 lines
4.1 KiB
Python
103 lines
4.1 KiB
Python
"""Word letter jumbling 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 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 LetterJumbleConfig:
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"""Configuration for letter jumbling task generation"""
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min_word_len: int = 1 # 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 (
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self.max_corruption_level >= self.min_corruption_level
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), "max_corruption_level must be >= min_corruption_level"
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class LetterJumbleDataset(ProceduralDataset):
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"""Generates word letter jumbling tasks"""
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def __init__(self, config: LetterJumbleConfig):
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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
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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 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 jumbling 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 = [self._scramble_word(word, corruption_level, rng) for word in selected_words]
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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("letter_jumble", LetterJumbleDataset, LetterJumbleConfig)
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