FrameNetBrasil/Framed_Multi30k

Framed Multi30k (FM30K)

This repo contains the scripts and data related to the Framed Multi30k (FM30K) dataset.

The dataset can be found in three different formats:

• Under data/flickr30k the new, original 158,915 descriptions for Flickr30k images in Brazilian Portuguese can be found in the same format used by Flickr30k to provide captions.
• The 31,014 translations of English captions from Flickr30k, align with translations from Multi30k can be found in data/multi30k. These sentences are already split into train, test and val sets aligned with Multi30k. The tokenized versions are also provided.
• Finally, for the frame annotated sentences and images, use the files in data/framed30k. Each part of the dataset is stored as JSON Lines files.

JSONL files

An example of how a line the JSON Lines looks like is:

{
  "sentenceId": 29643249,
  "flickr30kImageId": "1053116826.jpg",
  "flickr30kSentenceNumber": 5,
  "sentence": "Duas crianças estão rindo na grama.",
  "tokens": [ "Duas", "crianças", "estão", "rindo", "na", "grama", "." ],
  "frames": [
    {
      "id": "Cardinal_numbers",
      "span": [0, 0],
      "frameElements": [{ "id": "Entity", "span": [1, 1] }]
    },
    { "id": "People_by_age", "span": [1, 1], "frameElements": [] },
    ...
  ]
}

All files contain a reference to the original Flickr30k dataset either through flickr30kImageId (image) or the pair (flickr30kImageId, flickr30kSentenceNumber) (sentence). The span property of frames and frameElements represent the interval of tokens where that entity is realized in the sentence.

The Portuguese Original Captions (PTO.jsonl.gz]) don't have flickr30kSentenceNumber set, only sentenceNumber to identify that sentence number for the image.

For IMG.jsonl.gz, two extra fields (annotationCondition and flickr30kEntitiesObjectId) are set. The first is used to tell whether annotators saw a caption for the image or not while annotating it. The second links the annotation to a Flickr30k Entities object.

How to cite

Marcelo Viridiano, Arthur Lorenzi, Tiago Timponi Torrent, Ely E. Matos, Adriana S. Pagano, Natália Sathler Sigiliano, Maucha Gamonal, Helen de Andrade Abreu, Lívia Vicente Dutra, Mairon Samagaio, Mariane Carvalho, Franciany Campos, Gabrielly Azalim, Bruna Mazzei, Mateus Fonseca de Oliveira, Ana Carolina Luz, Livia Padua Ruiz, Júlia Bellei, Amanda Pestana, et al.. 2024. Framed Multi30K: A Frame-Based Multimodal-Multilingual Dataset. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 7438–7449, Torino, Italia. ELRA and ICCL.

License

This dataset is shared under a CC BY-NC 4.0 DEED license.