Text Datasets for DSI

Text data used in an article Tatsuya Haga, Yohei Oseki, Tomoki Fukai, "A unified neural representation model for spatial and semantic computations" (preprint in biorxiv doi: https://doi.org/10.1101/2023.05.11.540307). Codes and usage of data are available at https://github.com/TatsuyaHaga/DSI_codes Main dataset (enwiki_processed_pickle): This file contains preprocessed text data of 100,000 articles randomly sampled from English Wikipedia dump taken on 22-May-2020 (https://dumps.wikimedia.org/enwiki/latest/). Additional dataset (wikitext103train_processed_pickle): This file contains preprocessed text data based on WikiText-103 dataset (Stephen Merity, Caiming Xiong, James Bradbury, and Richard Socher. 2016. Pointer Sentinel Mixture Models. http://arxiv.org/abs/1609.07843) Both text data have already been preprocessed: all characters were lowercased, punctuation characters were removed, and all words were tokenized. Data format is python pickle format. We publish data under CC-BY-SA following the license of original datasets.