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include ranges rather than sampled values in difficulty metadata dicts (#387)
* update difficulty metadata for logic datasets * update difficulty metadata for graph datasets * update difficulty metadata for geometry datasets * update difficulty metadata for games datasets * update difficulty metadata for cognition datasets * update difficulty metadata for arithmetic datasets * update difficulty metadata for arc datasets * update difficulty metadata for algorithmic datasets * update difficulty metadata for algebra datasets * use tuples * update tests * update tests
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80 changed files with 304 additions and 126 deletions
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@ -90,7 +90,12 @@ class SentenceReorderingDataset(ProceduralDataset):
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return {
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"question": f"Restore the correct order of words in the following sentence: {question}",
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"answer": solved_sentence,
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"metadata": {"word_count": word_count, "difficulty": {"words_in_sentence": word_count}},
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"metadata": {
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"word_count": word_count,
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"difficulty": {
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"words_in_sentence": (self.config.min_words_in_sentence, self.config.max_words_in_sentence),
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},
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},
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}
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def score_answer(self, answer: Optional[str], entry: dict[str, Any]) -> float:
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