Asta is a scholarly research assistant developed by Ai2. Its core idea is to combine literature understanding with data-driven discovery, providing support for literature search, summarization, and evidence analysis in scientific research scenarios.
In terms of data scale, according to the official introduction, Asta uses more than 108 million abstracts (108M+ abstracts) and more than 12 million full-text papers (12M+ full-text papers) as its foundation for finding, summarizing, and analyzing scientific evidence.
In terms of purpose, Asta is positioned as an assistant to help researchers handle scientific literature, centered on literature understanding and data-driven discovery, specifically manifested as retrieval, summarization, and analysis of scientific evidence.
Regarding usage, the official information only provides the access address https://asta.allen.ai/,其余操作流程、界面功能、是否需要账号、支持的语言与学科范围等信息暂未提供。
The applicable scenarios can be understood as literature investigation and evidence organization in academic research, but the official information does not list specific applicable disciplines, usage restrictions, pricing models, or platform requirements, so these contents are not currently provided.