size_categories:n<1K format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: phrase_ID
    dtype: int64
  - name: feature
    dtype: string
  - name: sentence
    dtype: string
  - name: feature_present
    dtype: int64
  splits:
  - name: train
    num_bytes: 23146
    num_examples: 266
  download_size: 8919
  dataset_size: 23146
---


This minimal pair data comes from "Learning to Recognize Dialect Features" by Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, and Jacob Eisenstein. Please cite the original work if  
you make use of this data:                                                                                                                                                                                  
                                                                                                                                                                                                                   
```                                                                                                                                                                                                                
@inproceedings{demszky2021learning,                                                                                                                                                                                
  title={Learning to Recognize Dialect Features},                                                                                                                                                                  
  author={Demszky, Dorottya and Sharma, Devyani and Clark, Jonathan H and Prabhakaran, Vinodkumar and Eisenstein, Jacob},                                                                                          
  booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},                                                      
  pages={2315--2338},                                                                                                                                                                                                year={2021}                                                                                                                                                                                                      
}                                                                                                                                                                                                                  
```  