Cavit Erginsoy da11def5c7 Improve efficiency and reduce plural bias in word ladder generation ... - Precomputed sorted word lists for each word length (stored in self.words_lists) to avoid redundant sorting on every _generate_word_pair call. - Updated _generate_word_pair to utilize the cached sorted list, significantly improving computational efficiency. - Implemented weighted random sampling for 5-letter words, giving words ending with 'S' a lower weight (0.5) to reduce bias without completely filtering them out.		2025-02-01 14:37:21 +00:00
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__init__.py	INIT	2025-01-30 21:32:46 +00:00
base_conversion.py	add reasoning_gym.create_dataset({name}, ...) global factory function	2025-01-25 00:58:34 +01:00
caesar_cipher.py	formatting	2025-01-25 18:51:28 +01:00
letter_counting.py	add reasoning_gym.create_dataset({name}, ...) global factory function	2025-01-25 00:58:34 +01:00
letter_jumble.py	formatting	2025-01-25 18:51:28 +01:00
number_filtering.py	add reasoning_gym.create_dataset({name}, ...) global factory function	2025-01-25 00:58:34 +01:00
number_sorting.py	add reasoning_gym.create_dataset({name}, ...) global factory function	2025-01-25 00:58:34 +01:00
sentence_reordering.py	fix unit tests, lower python dependency to 3.9	2025-01-26 16:55:17 +01:00
spell_backward.py	rename word_reversal.py -> word_sequence_reversal.py	2025-01-26 11:57:50 +01:00
word_ladder.py	Improve efficiency and reduce plural bias in word ladder generation	2025-02-01 14:37:21 +00:00
word_sequence_reversal.py	rename word_reversal.py -> word_sequence_reversal.py	2025-01-26 11:57:50 +01:00
word_sorting.py	add newline to word sorting template	2025-01-27 16:57:49 +01:00