Add dataset card for LingGen

README.md

@@ -16,17 +16,17 @@ This dataset contains the processed training and test data used for the LingGen
 
 ## Dataset Summary
 
-- Please ask your administrator.: 6,810,672 examples
-- : 2,000 examples
-- : 40 released control attributes used by the public codebase
-- : full 276-dimensional linguistic feature vector
+- `train`: 6,810,672 examples
+- `test`: 2,000 examples
+- `ling`: 40 released control attributes used by the public codebase
+- `ling_all`: full 276-dimensional linguistic feature vector
 
 Each example includes:
 
-- : target text
-- : source dataset identifier
-- : released 40-attribute control vector
-- : full feature vector before selecting the released subset
+- `sentence`: target text
+- `source`: source dataset identifier
+- `ling`: released 40-attribute control vector
+- `ling_all`: full feature vector before selecting the released subset
 
 ## Source Data
 
@@ -44,14 +44,29 @@ This release redistributes processed text and derived linguistic features for re
 
 ## Usage
 
-Please ask your administrator.
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("mohdelgaar/LingGen")
+```
 
 To use the dataset directly with the released code repository, save it to disk first:
 
-Please ask your administrator.
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("mohdelgaar/LingGen")
+dataset.save_to_disk("data/ling_sentences")
+```
 
 Code repository: https://github.com/CLU-UML/LingGen
 
 ## Citation
 
-
+```bibtex
+@misc{elgaar2026linggen,
+  title={LingGen: Scalable Multi-Attribute Linguistic Control via Power-Law Masking},
+  author={Mohamed Elgaar and Hadi Amiri},
+  year={2026}
+}
+```