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Audition

This repo contains the scripts and data related to the Audition dataset.

The dataset comprises of six JSON Lines files. One for visual objects data/VO.jsonl and five for textual annotation coming from different sources:

For information and download of the short-films, refer to this table:

Film Source Audio Descriptor Movie Genre
A Árvore do Dinheiro http://cinematecapernambucana.com.br/filme/?id=3264 Marcos Buccini Animation
As aventuras de Pety https://www.youtube.com/watch?v=h0TbaPIDkFI Filmes que voam Animation
Ave Maria ou Mãe dos Sertanejos http://cinematecapernambucana.com.br/filme/?id=3266 Projeto Alumiar Liliane Tavares Documentary
Cinema Gloria http://cinematecapernambucana.com.br/filme/?id=3267 Projeto Alumiar Liliane Tavares Documentary
Glênio https://vimeo.com/722339213/d76443858e Marilaine Castro da Costa Documentary
O cuidado vem da terra https://youtu.be/BsQnR4CkJcI?si=fwVxLuLTVwG1rTig Luis dos Santos Miguel Documentary
Fora de época https://vimeo.com/726066251/bedd6417de Bruna Tonso Fiction
N27 http://cinematecapernambucana.com.br/filme/?id=3269 Liliana Tavares Fiction
Eu não quero voltar sozinho https://www.lacuna.film/eu-nao-quero-voltar-sozinho Sandra Rosa Fiction
Santo às cegas https://www.youtube.com/watch?v=JqA_NxT-OJY Gabriel Aquino Documentary

Visual annotations

The visual annotations file consists of a list of objects similar to this:

{
  "episode":"As aventuras de Pety",
  "genre": "animation",
  "objectId":9524,
  "objectTimespan":[402.16,407.24],
  "frame":"Natural_phenomena",
  "frameElement":"Natural_phenomenon",
  "boundingBoxes":[
    [402.16,244.0,1.0,351.0,472.0],
    [402.2,244.0,1.0,346.0,473.0],
    [402.24,244.0,1.0,346.0,473.0],
    [402.28,244.0,1.0,346.0,473.0],
    [402.32,244.0,0.0,341.0,477.0],[
    ...
  ]
}

The episode field identifies the short film where the visual object or text comes from. The objectTimespan and sentenceTimeSpan fields are a tuple that representing the start and end miliseconds of the video where that object or text appears/is spoken. frame and frameElement are the actual FrameNet entities that the visual object represents. The frames field in text annotation represents a list of all frames evoked by that sentence and their frame elements. Their labels are identified by the id field and the span field informs the tokens that evoked the frame or are the frame elements. Finally, boundingBoxes is an array of variable size (with at least one element). Each element is a 5-tuple representing a fixed time point where that bounding box appears and the four other numbers to represent the box itself. It's a tuple of (milisecond, x, y, width, heigh).

Transcription Annotations

Textual annotation follows the format:

{
  "episode": "A Árvore do Dinheiro",
  "sentenceId": 217326,
  "sentence": "Há muito tempo atrás, no sertão nordestino, um cabra de nome José se apaixonou feito menino por Maria, filha de um coronel de nome chamado Agripino.",
  "sentenceTimespan": [41.807, 51.56],
  "frames": [
    {"span": [0, 2], "label": "Event", "children": [{"span": [3, 20], "label": "Time"}, {"span": [22, 42], "label": "Place"}]},
    {"span": [25, 31], "label": "Natural_features", "children": [{"span": [25, 31], "label": "Locale"}]},
    {"span": [44, 46], "label": "People", "children": [{"span": [47, 52], "label": "Person"}, {"span": [53, 65], "label": "Persistent_characteristic"}]},
    ...
  ]

Where each span represents character positions in the text for the annotated frame or frame element (when inside children key).

License

This dataset is shared under a CC BY-NC 4.0 DEED license. Requests for commercial use should be directed to projeto.framenetbr@ufjf.br.

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