big5: IPIP Big Five 50-Item Inventory with Qwen3 Embeddings

In semanticfa: Semantic Factor Analysis of Language Model Embeddings

IPIP Big Five 50-Item Inventory with Qwen3 Embeddings

Description

A bundled example dataset containing the 50-item IPIP Big Five personality inventory with precomputed sentence-embedding vectors. The scale has 5 factors (Extraversion, Agreeableness, Conscientiousness, Neuroticism, Openness) with 10 items each, including 18 reverse-keyed items, making it suitable for demonstrating all encoding methods.

Usage

big5

Format

A list with components:

items

Character vector (length 50): item text.

codes

Character vector (length 50): item codes (E1, E2, ..., O50).

factors

Character vector (length 50): theoretical factor labels.

scoring

Numeric vector (length 50): +1 or -1 keying direction.

embeddings

Numeric matrix (50 x 4096): precomputed embeddings from the Qwen3-Embedding-8B model, rounded to 4 decimal places.

Source

Items from the International Personality Item Pool (IPIP; https://ipip.ori.org/), which is in the public domain. Embeddings were generated with the Qwen/Qwen3-Embedding-8B model (https://huggingface.co/Qwen/Qwen3-Embedding-8B) and rounded to 4 decimal places to reduce file size. The regeneration script is in data-raw/big5.R.

Examples

data(big5)
str(big5)
table(big5$factors, big5$scoring)

semanticfa documentation built on Sept. 2, 2026, 1:07 a.m.