SIN-Data

Gold definitionUpdated Apr 2, 2026

Definition

SIN-Data is a scientific interleaved corpus designed to evaluate multimodal large language models (MLLMs) on their ability to understand long-form scientific papers. It preserves the native interleaving of text and figures, enabling assessment of evidence-linked reasoning beyond simple answer matching.

At a glance

Executive summary

SIN-Data is a specialized collection of scientific documents, including both text and figures, used to test how well advanced AI models understand complex papers. It helps evaluate if these models can truly link information across text and images, rather than just guessing answers. This reveals that current AI models often struggle with truly understanding and connecting evidence.

TL;DR

SIN-Data is a dataset of scientific papers with text and images used to test if AI models can truly understand and connect information across different parts of a document, not just find keywords.

Key points

A scientific interleaved corpus preserving native text and figure arrangements
Solves the problem of evaluating MLLMs beyond superficial answer matching, focusing on evidence-linked reasoning
Used by researchers and ML engineers developing and evaluating multimodal LLMs
Differs from 'Needle-In-A-Haystack' tests by requiring explicit cross-modal evidence chains
Highlights grounding as a primary bottleneck for current MLLMs, driving research into more robust multimodal understanding

Use cases

Benchmarking new multimodal large language models for scientific document understanding
Developing MLLMs capable of generating evidence-anchored summaries of research papers
Evaluating MLLMs for tasks requiring precise extraction and verification of hypotheses from scientific literature
Assessing the ability of AI systems to perform grounded question answering over complex scientific articles with figures
Training MLLMs to identify and link specific textual and visual evidence to support claims in scientific contexts

Also known as

Scientific Interleaved Data