license: cc-by-nc-sa-4.0
task_categories:
- text-classification
- translation
language:
- en
- es
pretty_name: IdioTS - Idiomatic Language Test Suite
size_categories:
- n<1K
Dataset Card for IdioTS - Idiomatic Language Test Suite
The first version of this evaluation dataset was created as part of a Master's thesis in NLP under the title "Idiom detection and translation with conversational LLMs". The dataset has been further curated and improved and is constantly revised by the author.
Dataset Details
Dataset Description
- Curated by: Francesca De Luca Fornaciari
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
- License: cc-by-nc-sa-4.0
Dataset Sources [optional]
- Repository: https://github.com/fdelucaf/idioms-experiments
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
This dataset is designed for the assessment of conversational LLMs' capabilities to process figurative language, specifically idiomatic expressions at sentence level.
Direct Use
This dataset can be used for the assessment of conversational LLMs on two tasks related with idiomatic language:
Task 1 (monolingual task): idiom detection in an English sentence. Task 2 (cross-lingual task): sentence translation from English to Spanish.
Out-of-Scope Use
This dataset is not meant to be used for tasks that differ from the ones specified in "Direct Use".
Dataset Structure
[More Information Needed]
Dataset Creation
Curation Rationale
This evaluation dataset was designed and curated by human experts with linguistic knowledge, specifically to assess the ability of LLMs to process figurative language at sentence level. With the release of this dataset, we aim to provide a resource for evaluating the capabilities of conversational LLMs to handle the semantic meanings of multi-word expressions and to distinguish between literal and idiomatic meanings of a potentially figurative expression (PIE).
Source Data
The sentence dataset is based on an original list of English idioms. This list was curated by the same author as the dataset. The original English idioms are partly derived from real interactions of the author with native English speakers and partly extracted from the following websites: Amigos Ingleses}, The idioms, EF English idioms.
Data Collection and Processing
The original English sentences in the dataset were crafted by a group of native English speakers in the frame of a small-scale crowdsourcing on voluntary basis.
Who are the source data producers?
In order to ensure the quality of the generated sentences, the selected collaborators had to fulfil the following requirements:
- Native English speakers, predominantly of British origins.
- Demonstrated high linguistic proficiency attaining at least a C1 level.
- Language professional profile with a linguistic background (English teachers, linguists, translators, and NLP experts).
Annotations [optional]
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
The dataset does not contain any kind of personal or sensitive information.
Bias, Risks, and Limitations
A concerted effort was made to mitigate gender bias within our newly developed resource.
Whenever possible, gender-specific terms were either eliminated or neutralised, a large number of sentences
were reformulated adopting a gender neutral first person plural (we''/us''), second person singular or
plural (you''), or third person plural (they''). Since the gender neutralisation is not always possible
due to grammatical or syntactical constraints, meticulous attention was devoted to ensuring a representation
of feminine and masculine gender terms as balanced as possible throughout the dataset.
No specific measures were taken to mitigate other types of bias that may be present in the data.
Recommendations
[More Information Needed]
Citation [optional]
BibTeX:
APA:
[More Information Needed]
Glossary [optional]
[More Information Needed]
More Information [optional]
[More Information Needed]
Dataset Card Authors [optional]
[More Information Needed]