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---
language:
- fr
license: mit
task_categories:
- translation
tags:
- pictograms
- AAC
pretty_name: Propicto-polylexical
---
# Propicto-polylexical
## 📝 Dataset Description
Propicto-polylexical is a dataset of aligned text and pictograms (the pictograms correspond to the identifiers associated with ARASAAC pictograms) in French.
This dataset was manually created to specifically provide a resource containing texts with polylexical expressions translated into pictograms.
The dataset contains is a single file of 1,462 utterances.
## ⚒️ Dataset Structure
The dataset is structured as follows:
```csv
id : the unique identifier of the utterance
text : the sentence in French
pictos : the sequence of pictogram IDs from ARASAAC
tokens : the sequence of tokens, each of which is a keyword associated with an ARASAAC pictogram ID
```
## 💡 Dataset example
For the given sample :
```csv
id : 43
text : le collier du chien est trop serré il faut l'ajuster
pictos : [8476, 6987, 36480, 25708, 5380, 15523, 8476, 8516]
tokens : le collier_du_chien être trop serrer devoir le adapter
```
- `pictos` is the sequence of pictogram IDs, each of them can be retrieved from here : 15523 = https://static.arasaac.org/pictograms/15523/15523_2500.png<br />
- `tokens` are retrieved from a specific lexicon and can be used to train translation models.
## 💻 Uses
Propicto-polylexical is intended to be used to train Text-to-Pictograms translation models.
This dataset can also be used to fine-tune large language models to perform translation into pictograms.
## ⚙️ Dataset Creation
The dataset is created by applying a specific formalism that converts french transcriptions into a corresponding sequence of pictograms.<br />
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 />
This formalism was presented at [LREC](https://aclanthology.org/2024.lrec-main.76/).
## ⁉️ Limitations
The translation can be partially incorrect, due to incorrect or missing words translated into pictograms.
## 💡 Information
- **Curated by:** Cécile MACAIRE
- **Funded by :** [PROPICTO ANR-20-CE93-0005](https://anr.fr/Projet-ANR-20-CE93-0005)
- **Language(s) (NLP):** French
- **License:** CC-BY-NC-SA-4.0
## 📌 Citation
```bibtex
@inproceedings{macaire-etal-2024-multimodal,
title = "A Multimodal {F}rench Corpus of Aligned Speech, Text, and Pictogram Sequences for Speech-to-Pictogram Machine Translation",
author = "Macaire, C{\'e}cile and
Dion, Chlo{\'e} and
Arrigo, Jordan and
Lemaire, Claire and
Esperan{\c{c}}a-Rodier, Emmanuelle and
Lecouteux, Benjamin and
Schwab, Didier",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
year = "2024",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.76",
pages = "839--849",
}
```
## 👩🏫 Dataset Card Authors
**Cécile MACAIRE, Chloé DION, Emmanuelle ESPÉRANÇA-RODIER, Benjamin LECOUTEUX, Didier SCHWAB** |