SWAP: A Synthetic Dataset for Multi-Step Reasoning with Process Supervision

This repository contains the data for the paper (ACL 25 main) Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model. SWAP (Structure-aware Planning) solves complex reasoning by introducing a Generator-Discriminator architecture, and incorporates structural information to guide the reasoning process and provides a verification mechanism over the steps. We generate… See the full description on the dataset page: https://huggingface.co/datasets/sxiong/SWAP.

This webinar described the Division of State Systems' federal automated function repository called “Child welfare SoftWare and Artifacts Pool (C-SWAP)”, and its new feature, the State Technology Profile. The webinar covered the regulatory background of C-SWAP, benefits of C-SWAP, uploading of software to C-SWAP, and completing the State Technology Profile.

Metadata-only record linking to the original dataset. Open original dataset below.

Biologists are increasingly using curated, public data sets to conduct phylogenetic comparative analyses. Unfortunately, there is often a mismatch between species for which there is phylogenetic data and those for which other data are available. As a result, researchers are commonly forced to either drop species from analyses entirely or else impute the missing data. A simple strategy to improve the overlap of phylogenetic and comparative data is to swap species in the tree that lack data with ‘phylogenetically equivalent’ species that have data. While this procedure is logically straightforward, it quickly becomes very challenging to do by hand. Here, we present algorithms that use topological and taxonomic information to maximize the number of swaps without altering the structure of the phylogeny. We have implemented our method in a new R package phyndr, which will allow researchers to apply our algorithm to empirical data sets. It is relatively efficient such that taxon swaps can b...