A dataset of sentences with ordinal labels for grammaticality
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.

README.md

gug-data

A dataset of learner sentences with ordinal labels for grammaticality. More detail about the creation of the data set can be found in Heilman et al. (2014).

Annotation File Format

The gug_annotations.tsv file contains the annotated dataset. There are 6 columns:

  1. Id: the id for the annotated sentence
  2. Sentence: the sentence that was annotated
  3. Expert Judgement: the annotation assigned by the expert judge
  4. Crowd Flower Judgements: the 5 annotations assigned through crowd-sourcing
  5. Average: the average of all 6 judgements
  6. Dataset: whether the sentence and its annotation were part of the train, dev or test set. The sentences annotated as "Other" by our expert were not submitted for crowd-sourcing.

Annotation Scheme

The gug_instructions_with_sample_survey.pdf file contains the full set of instructions given to annotators, as well as an example annotation task. The annotation scheme contains 5 categories:

    1. Perfect
    1. Comprehensible
    1. Somewhat Comprehensible
    1. Incomprehensible
  • O. Other/Incomplete

Reference

The following paper should be cited in any publications that use this dataset:

Michael Heilman, Aoife Cahill, Nitin Madnani, Melissa Lopez, Matthew Mulholland and Joel Tetreault (2014) Predicting Grammaticality on an Ordinal Scale (2014) In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics Baltimore, MD.

License

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.