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README.md

@@ -1,28 +1,25 @@
 ---
-dataset_info:
-  features:
-  - name: prompt
-    dtype: string
-  - name: completion
-    dtype: string
-  - name: formula
-    dtype: string
-  - name: mpid
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 2489609
-    num_examples: 2692
-  - name: test
-    num_bytes: 622955
-    num_examples: 673
-  download_size: 976638
-  dataset_size: 3112564
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+license: cc-by-4.0
+task_categories:
+  - tabular-classification
+tags:
+  - materials-science
+  - chemistry
+  - crystallography
+size_categories:
+  - 10K<n<100K
 ---
+
+# Materials Science Crystal System Classification Dataset
+
+Dataset for classifying crystal system (7 classes) from chemical formula.
+
+## Citation
+
+```bibtex
+@article{venugopal2026probing,
+  title={Probing Materials Intelligence in LLMs: From Latent Embeddings to Reliable Predictions},
+  author={Venugopal, Vineeth and Mahjoubi, Soroush and Olivetti, Elsa},
+  year={2026}
+}
+```