inclusively-reformulation-it5

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license:cc-by-nc-sa-4.0
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Quick Summary

--- license: cc-by-nc-sa-4.

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by inclusively-reformulation-it5 with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

c4
🔵 6/10
general
multilingual
Key Strengths
  • •Scale and Accessibility: 750GB of publicly available, filtered text
  • •Systematic Filtering: Documented heuristics enable reproducibility
  • •Language Diversity: Despite English-only, captures diverse writing styles
Considerations
  • •English-Only: Limits multilingual applications
  • •Filtering Limitations: Offensive content and low-quality text remain despite filtering

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Code Examples

Citationbibtex
@article{10.1145/3729237,
author = {Greco, Salvatore and La Quatra, Moreno and Cagliero, Luca and Cerquitelli, Tania},
title = {Towards AI-Assisted Inclusive Language Writing in Italian Formal Communications},
year = {2025},
issue_date = {August 2025},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {16},
number = {4},
issn = {2157-6904},
url = {https://doi.org/10.1145/3729237},
doi = {10.1145/3729237},
journal = {ACM Trans. Intell. Syst. Technol.},
month = jun,
articleno = {79},
numpages = {24},
keywords = {inclusive language, natural language processing, text classification, text generation}
}
bibtex
@InProceedings{PKDD23_inclusively,
author="La Quatra, Moreno
and Greco, Salvatore
and Cagliero, Luca
and Cerquitelli, Tania",
title="Inclusively: An AI-Based Assistant for Inclusive Writing",
booktitle="Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="361--365",
isbn="978-3-031-43430-3",
doi="10.1007/978-3-031-43430-3_31"
}

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