README.md

metadata

annotations_creators:
  - unknown
language_creators:
  - unknown
language:
  - en
license:
  - mit
multilinguality:
  - monolingual
size_categories:
  - 100K<n<1M
source_datasets:
  - unknown
task_categories:
  - other
task_ids:
  - natural-language-inference
  - semantic-similarity-scoring
  - text-scoring
pretty_name: CORE Deduplication of Scholarly Documents
tags:
  - deduplication

Dataset Card for CORE Deduplication

Dataset Description

• Homepage: https://core.ac.uk/about/research-outputs
• Repository: https://core.ac.uk/datasets/core_2020-05-10_deduplication.zip
• Paper: Deduplication of Scholarly Documents using Locality Sensitive Hashing and Word Embeddings
• Point of Contact: CORE Team
• Size of downloaded dataset files: 204 MB

Dataset Summary

CORE 2020 Deduplication dataset (https://core.ac.uk/documentation/dataset) contains 100K scholarly documents labeled as duplicates/non-duplicates.

Languages

The dataset language is English (BCP-47 en)

Citation Information

@inproceedings{dedup2020,
  title={Deduplication of Scholarly Documents using Locality Sensitive Hashing and Word Embeddings},
  author={Gyawali, Bikash and Anastasiou, Lucas and Knoth, Petr},
  booktitle = {Proceedings of 12th Language Resources and Evaluation Conference},
  month = may,
  year = 2020,
  publisher = {France European Language Resources Association},
  pages = {894-903}
}