WorldSense
WorldSense as evaluated on the LFM3-Omni-2B card: Omni table, 'Video + audio understanding' group. Multiple-choice accuracy on video with its soundtrack. No inventory match (not to be confused with inventory 'WorldVQA (with tools)').
Category
Multimodal
Score type
percent
Scale
100%
higher is better
Models tested
1
What is WorldSense?
WorldSense is a benchmark for handling several input types together (images, documents, text). The official description says: "WorldSense as evaluated on the LFM3-Omni-2B card: Omni table, 'Video + audio understanding' group". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
WorldSense measures handling several input types together (images, documents, text). In detail, it checks:
- questions that mix text with images or document pages
- reading and extracting information from screenshots and scans
- understanding layout, titles, logos and figures in real documents
- staying accurate when the text content alone is not enough
How to read the score
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Official methodology note: WorldSense as evaluated on the LFM3-Omni-2B card: Omni table, 'Video + audio understanding' group. Multiple-choice accuracy on video with its soundtrack. No inventory match (not to be confused with inventory 'WorldVQA (with tools)').
Frequently asked questions
What is the WorldSense benchmark?
WorldSense is a benchmark for handling several input types together (images, documents, text). The official description says: 'WorldSense as evaluated on the LFM3-Omni-2B card: Omni table, 'Video + audio understanding' group'. Below we describe in simple words what benchmarks of this type generally examine.
What does WorldSense test?
WorldSense mainly measures handling several input types together (images, documents, text). Concretely, it checks: questions that mix text with images or document pages; reading and extracting information from screenshots and scans; understanding layout, titles, logos and figures in real documents.
How is the WorldSense score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get WorldSense data and scores?
The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/worldsense/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Model scores 1 model tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
LFM3-Omni-2B
LiquidAI
|
47.1%
|
— | Report | Verified |