S1_Database: Psycholinguistic and Affective Norms for 512 Italian Pain-Related Words

512 Italian words conveying physical and social pain were rated by 1020 participants on psycholinguistic, affective, and pain-related properties. The dataset includes ratings for Familiarity, Age of Acquisition, Valence, Arousal, Pain-Relatedness, and other metrics, along with lexical statistics like Written Frequency. It was created by researcher Eleonora Borelli to provide stimulus materials for studies on negative emotions and pain.

Use Cases

• Selecting stimulus words for experiments on negative emotions based on provided Valence and Arousal ratings.
• Investigating the relationship between word concreteness and pain perception based on Concreteness and Pain-Relatedness scores.
• Comparing lexical properties of social vs. physical pain words using metrics like Written Frequency and Orthographic Levenshtein Distance.
• Building models to predict affective responses to pain-related language using the multi-dimensional ratings.

Strengths

• Includes ratings from a large sample of 1020 Italian participants.
• Covers 512 words with multiple rating dimensions, including 10 psycholinguistic and affective properties.
• Provides comparative analysis showing social pain words were rated as more negative, arousing, and intense than physical pain words.

Limitations

• Row count for the full dataset is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is specific to the Italian language, limiting cross-linguistic applicability.

Provenance

Source

Eleonora Borelli via paperswithcode.

Collection Method

Ratings collected from 1020 Italian participants for 512 Italian words (nouns, adjectives, verbs).

Geography

Italy (Italian language participants and words).