Datasets:
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---
license: mit
language:
- lv
tags:
- food
- image
- classification
- image-text relation
dataset_info:
features:
- name: image
dtype: image
- name: relation
dtype: string
- name: tweet_id
dtype: string
- name: text
dtype: string
pretty_name: Latvian Twitter Eater Corpus - Image-text Relation Classification
size_categories:
- n<1K
---
# Latvian Twitter Eater Corpus - Image-text Relation Classification Test Set
The data set contains images attached to the tweets, tweet IDs, text, and a manually annotated relation class between the image and tweet text.
The relation classes are similar to the ones in the paper "[Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts](https://aclanthology.org/P19-1272/)"
Relations:
---------
0 - The image ADDS to tweet meaning and tweet text IS represented in the image
1 - The image ADDS to tweet meaning but tweet text is NOT represented in the image
2 - The image does NOT ADD to tweet meaning but tweet text IS represented in the image
3 - The image does NOT ADD to tweet meaning and tweet text is NOT represented in the image
Publications
---------
If you use this corpus or scripts, please cite the following paper:
Matīss Rikters, Edison Marrese-Taylor, Rinalds Vīksna (2024). "[Annotations for Exploring Food Tweets from Multiple Aspects.](https://aclanthology.org/2024.lrec-main.111/)" In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation ([LREC-COLING 2024](https://lrec-coling-2024.org/)) (2024).
```bibtex
@inproceedings{rikters-etal-2024-annotations-exploring,
title = "Annotations for Exploring Food Tweets from Multiple Aspects",
author = "Rikters, Matiss and
V{\=\i}ksna, Rinalds and
Marrese-Taylor, Edison",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italy",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.111",
pages = "1233--1238"
}
``` |