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  ---
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  license: wtfpl
 
 
 
 
 
 
 
 
 
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  ---
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  **Dataset Summary**
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  This dataset provides digitized versions of classic human categorization benchmarks from seminal cognitive psychology studies by Rosch (1973, 1975) and McCloskey & Glucksberg (1978). These datasets capture human judgments about semantic categories and typicality, offering high-fidelity insights into how humans organize conceptual knowledge.
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- This dataset was released as part of the study "From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning" (Shani et al., 2025), which quantitatively compares human and large language model (LLM) conceptual representations using information-theoretic tools.
 
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  -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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  **Supported Tasks and Leaderboards**
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  journal={arXiv preprint arXiv:2505.17117},
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  year={2025}
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  }
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- ```
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-
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-
 
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  ---
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  license: wtfpl
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+ task_categories:
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+ - token-classification
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+ language:
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+ - en
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+ tags:
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+ - cognition
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+ - concepts
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+ - clusters
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+ - categories
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  ---
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  **Dataset Summary**
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  This dataset provides digitized versions of classic human categorization benchmarks from seminal cognitive psychology studies by Rosch (1973, 1975) and McCloskey & Glucksberg (1978). These datasets capture human judgments about semantic categories and typicality, offering high-fidelity insights into how humans organize conceptual knowledge.
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+ This dataset was released as part of the study "[From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning"](https://arxiv.org/abs/2505.17117)
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+ (Shani et al., 2025), which quantitatively compares human and large language model (LLM) conceptual representations using information-theoretic tools.
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  -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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  **Supported Tasks and Leaderboards**
 
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  journal={arXiv preprint arXiv:2505.17117},
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  year={2025}
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  }
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+ ```