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README.md

@@ -1,21 +1,26 @@
 ---
-dataset_info:
-  features:
-  - name: word1
-    dtype: string
-  - name: word2
-    dtype: string
-  - name: similarity
-    dtype: float32
-  splits:
-  - name: train
-    num_bytes: 23249
-    num_examples: 999
-  download_size: 15864
-  dataset_size: 23249
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: cc-by-4.0
+task_categories:
+- feature-extraction
+language:
+- en
 ---
+# SimLex-999 Dataset
+
+This is the SimLex-999 dataset in Hugging Face `datasets` format.
+
+## Description
+SimLex-999 is a gold standard resource for evaluating semantic similarity models.
+
+## Columns
+- `word1`: First word of the pair
+- `word2`: Second word of the pair
+- `similarity`: Human-annotated similarity score (0-10)
+
+## Reference
+https://fh295.github.io/simlex.html
+
+## Usage
+```python
+from datasets import load_dataset
+dataset = load_dataset("Yuti/SimLex-999")