Our development of ToolQA involved a scalable, automated process for dataset curation, along with 13 specialized tools designed for interaction with external knowledge in order to answer questions.

SpeAr, which can further alleviate the bias problem.

However, in the presence of unobserved confounding, typically the causal quantity of interest will not be point-identified by observational data, unless special mechanisms are present in the data generating process (e.g.

Documentation is available at neuralmmo.github.io. Neural MMO 2.0 is a large-scale but computationally efficient environment with a flexible task structure. It is intended to promote agent-based intelligence research in complex, cognitively interesting simulations. The lead author bears all responsibility in case of violation of rights etc, though none such are applicable because Neural MMO 2.0 is a simulated environment, not a real-world dataset. All code, models, and other such artifacts are MIT licensed.