Identify Abbreviations Prompt for Language Model Guidance

Hua Song published a text prompt file on figshare in May 2026. The 2.8 KB file contains instructions designed to guide a model in determining whether an input term is an abbreviation or acronym. It aims to help distinguish shortened forms of words or phrases from general terms.

Use Cases

• Fine-tuning language models for abbreviation identification based on the provided prompt logic.
• Evaluating model performance on distinguishing acronyms from general vocabulary.
• Serving as a component in a text preprocessing pipeline for technical or biomedical documents.

Strengths

• File size is precisely 2.8 KB, indicating a small, focused resource.
• License is clearly specified as CC-BY-4.0, allowing for open use and modification.
• Last update timestamp is provided (2026-05-14 17:26:20).

Limitations

• The dataset's scale is limited to a single text prompt file.
• Row count and column-level documentation are unknown, limiting assessment of internal structure.
• The description is brief and does not detail the prompt's specific wording or logic.

Provenance

Source

figshare

Freshness

Last updated 2026-05-14 17:26:20.