Update README.md

README.md

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-license: wtfpl
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+---
+license: wtfpl
+---
+**Dataset Summary**
+
+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.
+
+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.
+
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+**Supported Tasks and Leaderboards**
+
+* Conceptual Alignment: Evaluating how well model-derived clusters match human semantic categories.
+
+* Typicality Modeling: Assessing the alignment between human-rated item typicality and model-internal semantic distances.
+
+* Rate-Distortion Evaluation: Benchmarking conceptual representations with an information-theoretic framework balancing complexity and semantic fidelity.
+
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+**Languages**
+
+English 🇺🇸
+
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+**Dataset Structure**
+
+Each row in the dataset corresponds to an item (e.g., “robin”, “sofa”) and includes:
+
+* item: the concept/item name.
+
+* category: the human-assigned semantic category (e.g., "bird", "furniture").
+
+* typicality_score: human-rated typicality of the item for its category.
+
+* subdataset: the paper that introduced this datapoint (options: [Rosch1973, Rosch1975, McCloskey1978]).
+
+***The three subdatasets include:***
+
+* Rosch1973: 48 items in 8 categories with typicality rankings.
+
+* Rosch1975: 552 items in 10 categories with typicality rankings.
+
+* McCloskey1978: 449 items in 18 categories with typicality rankings.
+
+
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+**Usage**
+
+
+```py
+from datasets import load_dataset
+
+# Load all splits
+ds = load_dataset("CShani/human-concepts")
+
+# Load a specific sub-dataset
+rosch75 = ds["rosch1975"]
+```
+
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+**Citation**
+
+If you use this dataset, please cite:
+
+```bibtex
+@article{shani2025fromtokens,
+  title={From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning},
+  author={Shani, Chen and Jurafsky, Dan and LeCun, Yann and Shwartz-Ziv, Ravid},
+  journal={arXiv preprint arXiv:2505.17117},
+  year={2025}
+}
+```
+
+
+