News400 Dataset

Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency

This repository contains the News400 dataset introduced in the paper:

Eric Müller-Budack, Jonas Theiner, Sebastian Diering, Maximilian Idahl, Ralph Ewerth: "Multimodal Analytics for Real-world News using Measures of Cross-modal Entity Consistency". Accepted for publication in: International Conference on Multimedia Retrieval (ICMR), Dublin, 2020.

Content

  • news400.tar.gz:
    • dataset.jsonl containing:
      • Web links to the news texts
      • Web links to the news image
      • Outputs of the named entity recognition and disambiguation (NERD) approach
      • Untampered and tampered entities
    • .jsonl file for each entity type containing the following information for each entity:
      • Wikidata ID
      • Wikidata label
      • Meta information used for tampering
      • Web links to all reference images crawled from Google, Bing, and Wikidata
    • splits for testing and validation
  • news400_features.tar.gz:
    • Visual features of the news images for persons, locations, and scenes
    • Visual features of the reference images for persons, locations, and scenes
  • news400_wordembeddings.tar.gz: Word embeddings of all nouns in the news texts

Source Code

The source code to reproduce our results as well as download scripts to crawl news texts and images can be found on our GitHub page: https://github.com/TIBHannover/cross-modal_entity_consistency

Data and Resources

Cite this as

Eric Müller-Budack, Jonas Theiner, Sebastian Diering, Maximilian Idahl, Ralph Ewerth (2020). Dataset: News400 Dataset. https://doi.org/10.25835/0084897

DOI retrieved: 06:07 04 Aug 2020 (GMT)

Additional Info

Field Value
Author Eric Müller-Budack, Jonas Theiner, Sebastian Diering, Maximilian Idahl, Ralph Ewerth
Maintainer Eric Müller-Budack
Last Updated June 8, 2020, 15:11 (CEST)
Created June 4, 2020, 15:53 (CEST)
License Creative Commons Attribution-NonCommercial 3.0