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feat: Add consecutive words option and ensure minimum word swap in UnscrambleWords

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This commit is contained in:
Andreas Koepf (aider) 2025-01-25 18:29:02 +01:00
parent 5403302041
commit e60d211043
1 changed files with 10 additions and 3 deletions
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13
reasoning_gym/algorithmic/unscramble_words.py
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@ -19,6 +19,7 @@ class UnscrambleWordsConfig:
max_words: int = 20 # Maximum words per task
min_corruption_level: float = 0.1 # Minimum fraction of characters to swap
max_corruption_level: float = 0.9 # Maximum fraction of characters to swap
consecutive_words: bool = True # Whether to select consecutive words from text
seed: Optional[int] = None
size: int = 500 # Virtual dataset size
@ -54,7 +55,7 @@ class UnscrambleWordsDataset(ProceduralDataset):
return word
word = list(word)
num_swaps = int(len(word) * corruption_level)
num_swaps = max(1, int(len(word) * corruption_level)) # Ensure at least one swap
for _ in range(num_swaps):
# Pick two different random positions
@ -72,8 +73,14 @@ class UnscrambleWordsDataset(ProceduralDataset):
num_words = rng.randint(self.config.min_words, self.config.max_words)
corruption_level = rng.uniform(self.config.min_corruption_level, self.config.max_corruption_level)
# Select random words
selected_words = rng.sample(self.words, num_words)
# Select words based on configuration
if self.config.consecutive_words:
# Select consecutive words from a random starting position
start_idx = rng.randint(0, len(self.words) - num_words)
selected_words = self.words[start_idx:start_idx + num_words]
else:
# Select random words
selected_words = rng.sample(self.words, num_words)
# Scramble each word
scrambled_words = [