💡 CLAIRE

CLArifying Insertions from Revision Edits dataset for SemEval-2022 Task 7

Contents

• Creation Context
• Data
• Annotations
• Data Format
• License
• Contact

Creation Context

This dataset was originally created for SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts. The organizers of this task were Michael Roth, Talita Anthonio and Anna Sauer at the Institute for Natural Language Processing, University Stuttgart. For details on the task, see the task website and the CodaLab page.

Data

The dataset contains instructional texts from wikiHow, a platform for collaboratively edited how-to guides for everyday scenarios. Each wikiHow article has a revision history that records the changes applied by different collaborators.

Each instance in CLAIRE is a sentence from a wikiHow article and five different revisions that insert a word or phrase. These revisions can serve as potential clarifications for information that was previously implicit or unclear in the text.

The clarifications belong to one of four different types:

• Insertion of implicit references (IMPLICIT REFERENCE):
  • In the original version of a sentence, there was an implicit reference to a previously mentioned entity. The revision makes this reference explicit.
  • Example: "Visit the salon's website. Call and ask questions." -> "Call the salon and ask questions."
• Resolution of fused head noun phrases (FUSED HEAD):
  • In the original version, there is a noun phrase where the head noun is missing. The revision adds that noun.
  • Example: "The container must be exactly the same as the container you used to collect the water." -> "The container must be exactly the same diameter as the container you used to collect the water."
• Completion of noun compounds (ADDED COMPOUND):
  • The revision adds a compound modifier to a noun to make its meaning more specific.
  • Example: "Send a card." -> "Send a reminder card."
• Resolution of metonymic relations (METONYMIC REFERENCE):
  • In the original version, a noun is used in a metonymy. The revision makes the particular component or aspect of a noun explicit that is meant.
  • Example: "Screw each stringer to the deck frame with a drill." -> "Screw each stringer to the top of the deck frame with a drill."

Annotations

Each clarification is annotated with information how plausible it is in the given context. These annotations are released in two different forms:

• For a ranking task: an score on a continuous scale from 1 (very implausible) to 5 (very plausible)
• For a classification task: one of three discrete class labels IMPLAUSIBLE, NEUTRAL or PLAUSIBLE

Data Format

For every data split (train, dev, test), there are three separate TSV files:

• {split}_data.tsv: contains the instances themselves without annotation
• {split}_scores.tsv: contains the annotations as continuous plausibility scores between 1 and 5
• {split}_labels.tsv: contains the annoations as discrete plausiblity classes

{split}_data.tsv contains the following columns:

• "Id": an integer identifier
• "Resolved pattern": name of the clarification phenomenon (cf. list above: IMPLICIT REFERENCE, FUSED HEAD, ADDED NOUN, METONYMIC REFERENCE)
• "Article title": title of the wikiHow article in which the sentence occurs
• "Section header": heading of the section which the sentence is part of
• "Previous context": a couple of sentences that occur before the sentence in question - omissions are marked by "(...)"
• "Sentence": the sentence with a placeholder "______" that marks where the fillers should be inserted
• "Follow-up context": a couple of sentences that occur after the sentence in question - omissions are marked by "(...)"
• "Filler1" to "Filler5": the five different fillers

{split}_scores.tsv contains the following columns:

• The identifier, a string that consists of three parts:
  • it starts with an integer representing the id of the instance
  • next, there is an underscore
  • finally, the id of the filler (1 to 5)
  • e. g. "42_1" stands for the sentence with id 42 with filler 1
• The plausibility score, a float between 1 and 5

{split}_labels.tsv contains the following columns:

• The identifier string
• The class label that is IMPLAUSIBLE, NEUTRAL or PLAUSIBLE

License

Since wikiHow articles are released under a Attribution-NonCommerical-Share Alike 3.0 Creative Commons License (CC BY-NC-SA 3.0, see wikiHow for more information), CLAIRE is also made available under CC BY-NC-SA 3.0.

Contact

If you have questions concerning the dataset, you can write a mail to [email protected].