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README.md
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# Propicto-orféo
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## Dataset Description
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Propicto-orféo is a dataset of aligned speech-id/transcription/pictograms (the pictograms correspond to the identifier associated with an ARASAAC pictogram) in French.
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It was created from the CEFC-Orféo corpus. This dataset was presented in the research paper titled ["A Multimodal French Corpus of Aligned Speech, Text, and Pictogram Sequences for Speech-to-Pictogram Machine Translation](https://aclanthology.org/2024.lrec-main.76/)" at LREC-Coling 2024. The dataset was split into training, validation, and test sets.
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- **Language(s) (NLP):** French
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- **License:** CC-BY-NC-SA-4.0
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## Dataset Structure
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Each file contains the following information :
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```csv
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tokens : the sequence of tokens, each of them is the keyword associated to the ARASAAC id pictogram
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```
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## Dataset example
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For the given sample :
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```csv
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- [C. Benzitoun, J.-M. Debaisieux, H.-J. Deulofeu (2016). Le projet ORFÉO : un corpus d'études pour le français contemporain. Corpus n°15, p. 91-114](https://journals.openedition.org/corpus/2936)
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- [J.-M. Debaisieux & C. Benzitoun (2020). Orféo : un corpus et une plateforme pour l’étude du français contemporain. Langages n°219](https://shs.cairn.info/revue-langages-2020-3?lang=fr)
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## Uses
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Propicto-orféo is intended to be used to train Speech-to-Pictograms translation and Text-to-Pictograms translation models.
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This dataset can also be used to fine-tune large language models to perform translation into pictograms.
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## Dataset Creation
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The dataset is created by applying a specific formalism that converts french oral transcriptions into a corresponding sequence of pictograms.<br />
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The formalism includes a set of grammatical rules to handle specific phenomenon (negation, name entities, pronominal form, plural, ...) to the French language, as well as a dictionary which associates each ARASAAC ID pictogram with a set of keywords (tokens).<br />
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The translation can be partially incorrect, due to incorrect or missing words translated into pictograms.
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## Citation
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```bibtex
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@inproceedings{macaire-etal-2024-multimodal,
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}
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```
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## Dataset Card Authors
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**Cécile MACAIRE, Chloé DION, Emmanuelle ESPÉRANÇA-RODIER, Benjamin LECOUTEUX, Didier SCHWAB**
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## Dataset Card Contact
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**Cécile MACAIRE**
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# Propicto-orféo
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## 📝 Dataset Description
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Propicto-orféo is a dataset of aligned speech-id/transcription/pictograms (the pictograms correspond to the identifier associated with an ARASAAC pictogram) in French.
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It was created from the CEFC-Orféo corpus. This dataset was presented in the research paper titled ["A Multimodal French Corpus of Aligned Speech, Text, and Pictogram Sequences for Speech-to-Pictogram Machine Translation](https://aclanthology.org/2024.lrec-main.76/)" at LREC-Coling 2024. The dataset was split into training, validation, and test sets.
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- **Language(s) (NLP):** French
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- **License:** CC-BY-NC-SA-4.0
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## ⚒️ Dataset Structure
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Each file contains the following information :
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```csv
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tokens : the sequence of tokens, each of them is the keyword associated to the ARASAAC id pictogram
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```
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## 💡 Dataset example
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For the given sample :
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```csv
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- [C. Benzitoun, J.-M. Debaisieux, H.-J. Deulofeu (2016). Le projet ORFÉO : un corpus d'études pour le français contemporain. Corpus n°15, p. 91-114](https://journals.openedition.org/corpus/2936)
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- [J.-M. Debaisieux & C. Benzitoun (2020). Orféo : un corpus et une plateforme pour l’étude du français contemporain. Langages n°219](https://shs.cairn.info/revue-langages-2020-3?lang=fr)
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## 💻 Uses
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Propicto-orféo is intended to be used to train Speech-to-Pictograms translation and Text-to-Pictograms translation models.
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This dataset can also be used to fine-tune large language models to perform translation into pictograms.
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## ⚙️ Dataset Creation
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The dataset is created by applying a specific formalism that converts french oral transcriptions into a corresponding sequence of pictograms.<br />
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The formalism includes a set of grammatical rules to handle specific phenomenon (negation, name entities, pronominal form, plural, ...) to the French language, as well as a dictionary which associates each ARASAAC ID pictogram with a set of keywords (tokens).<br />
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The translation can be partially incorrect, due to incorrect or missing words translated into pictograms.
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## 📌 Citation
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```bibtex
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@inproceedings{macaire-etal-2024-multimodal,
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}
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```
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## 👩🏫 Dataset Card Authors
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**Cécile MACAIRE, Chloé DION, Emmanuelle ESPÉRANÇA-RODIER, Benjamin LECOUTEUX, Didier SCHWAB**
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