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  license: cc-by-nc-sa-4.0
 
 
 
 
 
 
 
 
 
 
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  license: cc-by-nc-sa-4.0
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+ language:
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+ - en
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+ annotations_creators:
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+ - no-annotation
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+ task_categories:
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+ - text-generation
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+ task_ids:
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+ - language-modeling
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+ size_categories:
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+ - 10K<n<100K
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  ---
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+
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+ This is the dataset for the paper Compression Represents Intelligence Linearly.
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+ We find that LLMs’ intelligence – reflected by benchmark scores – almost **linearly** correlates with their ability to compress external text corpora. We measure intelligence along three key abilities: knowledge and commonsense, coding, and mathematical reasoning, and provide corresponding datasets here respectively named cc, python, and arxiv_math.
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+
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+
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+ ### Load the data
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+ ```python
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+ from datasets import load_dataset
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+ dataset=load_dataset(r"hkust-nlp/cpt",name="python")
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+
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+ print(dataset['test'][0])
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+ ```
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+ More details on compression evaluation are at our [github page](https://github.com/hkust-nlp/cpt).
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+
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+ ### Citation
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+ ```
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+ @xxxx
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+ ```