Text Datasets for DSI
<p>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</p> <p>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/).</p> <p>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)</p> <p>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. </p> <p>We publish data under CC-BY-SA following the license of original datasets.</p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4
ScienceDex for faculty
Your academic CV and NIH biosketch
Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.