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Towards Standardization of Data Licenses: The Montreal Data License

Towards Standardization of Data Licenses: The Montreal Data License

21 March 2019
Misha Benjamin
P. Gagnon
Negar Rostamzadeh
C. Pal
Yoshua Bengio
Alex Shee
ArXivPDFHTML

Papers citing "Towards Standardization of Data Licenses: The Montreal Data License"

8 / 8 papers shown
Title
LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance
Jingwen Tan
Gopi Krishnan Rajbahadur
Zi Li
Xiangfu Song
Jianshan Lin
Dan Li
Zibin Zheng
Ahmed E. Hassan
54
1
0
03 Jan 2025
On the Readiness of Scientific Data for a Fair and Transparent Use in
  Machine Learning
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning
Joan Giner-Miguelez
Abel Gómez
Jordi Cabot
33
0
0
18 Jan 2024
Overview of AuTexTification at IberLEF 2023: Detection and Attribution
  of Machine-Generated Text in Multiple Domains
Overview of AuTexTification at IberLEF 2023: Detection and Attribution of Machine-Generated Text in Multiple Domains
A. Sarvazyan
José Ángel González
Marc Franco-Salvador
Francisco Rangel
Berta Chulvi
Paolo Rosso
DeLMO
38
61
0
20 Sep 2023
An investigation of licensing of datasets for machine learning based on
  the GQM model
An investigation of licensing of datasets for machine learning based on the GQM model
Junyu Chen
Norihiro Yoshida
Hiroaki Takada
33
2
0
24 Mar 2023
AfroDigits: A Community-Driven Spoken Digit Dataset for African
  Languages
AfroDigits: A Community-Driven Spoken Digit Dataset for African Languages
Chris C. Emezue
Sanchit Gandhi
Lewis Tunstall
Abubakar Abid
Josh Meyer
...
Douwe Kiela
Yacine Jernite
Julien Chaumond
Merve Noyan
Omar Sanseviero
33
2
0
22 Mar 2023
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Kenny Peng
Arunesh Mathur
Arvind Narayanan
99
94
0
06 Aug 2021
ABOUT ML: Annotation and Benchmarking on Understanding and Transparency
  of Machine Learning Lifecycles
ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
Inioluwa Deborah Raji
Jingyi Yang
21
37
0
12 Dec 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
335
4,230
0
23 Aug 2019
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