IdiomX: A Large-Scale Bilingual Dataset for Idiomatic Expression Understanding

IdiomX v3 is a large-scale bilingual dataset created by Ayman Ali Sharara for understanding idiomatic expressions. The dataset is hosted on Hugging Face and was last updated on April 2, 2026. It is associated with an academic project supervised by Prof. Hanna Abi Akl at DSTI School of Engineering.

Use Cases

• Training models for idiomatic expression detection based on the dataset's bilingual text.
• Fine-tuning text generation models to handle idiomatic language based on the described content.
• Conducting text classification tasks to distinguish literal from figurative usage based on the dataset's focus.

Strengths

• Dataset is explicitly described as 'large-scale'.
• Dataset is bilingual, covering at least two languages.
• Last update timestamp is provided: 2026-04-02 20:07:31.

Limitations

• Row count, column names, and file formats are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• License information is unknown, which may restrict usage.

Provenance

Source

Author: aymansharara (Ayman Ali Sharara), DSTI School of Engineering.

Collection Method

Method of data gathering is not specified in the provided input.

Time Range

Temporal coverage is not specified in the provided input.

Freshness

Last updated 2026-04-02 20:07:31; freshness should be verified.

Geography

Spatial coverage is not specified in the provided input.