metadata

license: mit
language:
  - en
paperswithcode_id: embedding-data/flickr30k-captions
pretty_name: flickr30k-captions

Dataset Card for "flickr30k-captions"

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Homepage: https://shannon.cs.illinois.edu/DenotationGraph/
Repository: More Information Needed
Paper: https://transacl.org/ojs/index.php/tacl/article/view/229/33
Point of Contact: Peter Young, Alice Lai, Micah Hodosh, Julia Hockenmaier

Dataset Summary

We propose to use the visual denotations of linguistic expressions (i.e. the set of images they describe) to define novel denotational similarity metrics, which we show to be at least as beneficial as distributional similarities for two tasks that require semantic inference. To compute these denotational similarities, we construct a denotation graph, i.e. a subsumption hierarchy over constituents and their denotations, based on a large corpus of 30K images and 150K descriptive captions.

Disclaimer: The team releasing Flickr30k did not upload the dataset to the Hub and did not write a dataset card. These steps were done by the Hugging Face team.

Dataset Card for "flickr30k-captions"

Table of Contents

Dataset Description

Dataset Summary

Supported Tasks and Leaderboards

Languages

Dataset Structure

Curation Rationale

Source Data

Initial Data Collection and Normalization

Who are the source language producers?

Annotations

Annotation process

Who are the annotators?

Personal and Sensitive Information

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

Other Known Limitations

Additional Information

Dataset Curators

Licensing Information

Citation Information

Contributions